网络科学，高维数据分析，神经影像学，基因表达，数据整合，统计机器学习在阿尔茨海默病，精神病学，心理健康中的应用
Network science, high dimensional data analysis, neuroimaging, gene expression, data integration, statistical machine learning with applications in Alzheimer’s Disease, psychiatry, mental health

生成式人工智能和LLMs
Generative AI and LLMs

可信人工智能、高效生成式AI、下一代统计学
Trustworthy AI, Efficient GenAI, Next-Gen Stats

图机器学习，图基础模型，图神经网络，数据为中心的人工智能，病态数据问题发现与缓解如不平衡问题，拓扑问题，数据稀少问题，可信人工智能如可解释性，公平性，不确定性等，科学/基础设施/信息检索/网络安全的图人工智能与机器学习应用
Machine Learning on Graphs, Graph Foundational Models, Graph Neural Networks, Data-centric AI, Data-quality Issues Discovery and Mitigation such as Imbalance Issue, Topology Issue, Limited Data Issue, Trustworthy AI such as Explanability, Fairness, Uncertainty, etc., Graph AI for Science/Infrastructure/Information Retrieval/Cybersecurity

机器学习、基础模型、对抗学习、可解释人工智能（AI）、体现智能（AI）、以及机器人学习
Machine learning, foundation models, adversarial learning, explainable AI, embodied AI, and robot learning

可解释人工智能，大型语言模型，图挖掘，推荐系统，健康信息学，科学教育，人工智能
Explainable AI, Large Language Models, Graph Mining, Recommender Systems, Health Informatics, Science Education, Artificial Intelligence

Computational Condensed Matter Physics. My research focuses on developing and applying density functional theory (DFT) simulations coupled with theoretical models to design and predict diverse nanomaterials and quantum materials and reveal their novel electronic, topological, magnetic, optical, and phononic properties. My recent research interests include, but not limited to, the study of topological materials, chiral materials, superconductors, and integrating machine learning in materials discovery. I am actively looking for PhD students. If you are interested, please email me your CV.

商业分析，重点研究运营管理（OM），统计学和机器学习（ML）
Business Analytics with focuses on Operations Management (OM), Statistics, and Machine Learning (ML)

机器人设计与开发; 大型语言模型/具身人工智能和机器人的基础模型; 传感与数据分析。应用领域包括仿生软机器人用于微创手术; 用于灾难侦察和响应的机器人; 用于工业化建筑和制造的机器人灵巧操作; 具有机器人的智慧城市。
Robot Design and Development; Large Language Models/Foundational Models for Embodied AI and Robots; Sensing & Data Analytics. Application areas include Biomimetic soft robot for minimally invasive surgeries; Robots for disaster reconnaissance and response; Robot dexterous manipulations for industrialized construction and manufacturing; Smart city with robots.

表面和界面工程，机械工程，材料科学，化学，生物医学工程
Surface and interface engineering, mechanical engineering, material science, chemistry, biomedical engineering

量子密钥分发、量子通信、量子计算、量子纠错、抗量子密码
Quantum key distribution, Quantum communication, Quantum computing, Quantum error correction, Post-quantum cryptography

人工智能、数据挖掘、机器学习、推荐系统、信息检索、城市计算、健康医疗应用、大语言模型、深度强化学习、自动机器学习、可信人工智能、多模态学习
Artificial Intelligence, Data Mining, Machine Learning, Recommender Systems, Information Retrieval, Urban Computing, Health and Medicine Applications, Large Language Models, Deep Reinforcement Learning, Automated Machine Learning, Trusted Artificial Intelligence, Multimodal Learning

1. Computational Biology, especially in a trustworthy manner like learning biological relevant signals from different species, different populations, different experiment protocols or devices, especially applications genomics and Alzheimer’s disease. 2. Large Language Model as Agents and Trustworthy AI: developing LLM-based agents to fully automate models' completion of complicated tasks, including testing AI's security. 3. The combination of the above two.

网络、云计算、系统
Networking, Cloud Computing, Systems

微型智能机器人系统，人机环境交互，工业机器人，触觉信号生成和分析，机器人操作智能提升
Micro Intelligent Robot Systems, Human-Robot-Environment Interaction, Industrial Robotics, Tactile Signal Generation and Analysis, Robotics Operation Intelligence Enhancement

系统与软件安全
Systems and software security

研究领域涉及多用户虚拟/增强现实、数字孪生、边缘计算、在线学习、强化学习等信息领域的基础理论及应用技术研究
Research areas in multi-user virtual/augmented reality, digital twins, edge computing, online learning, reinforcement learning, and other information fields.

仿生纳米生物材料、组织工程、药物递送、细胞-细胞及干细胞-材料的相互作用研究、外泌体递送系统研究
Biomimetic nanobiomaterials, tissue engineering, drug delivery, cell-cell and stem cell-material interactions, extracellular vesicle delivery systems

3D机器学习、深度学习与增材制造
3D Machine Learning, Deep Learning for Additive Manufacturing

计算机音乐生成
Computer Music Generation

可信机器学习（如稳健性，公平性，安全性，因果关系，可解释性，可迁移性）；生成式人工智能（如大型语言模型，大型多模态模型，扩散模型）；因果推断的机器学习（如复杂治疗方法，持续因果推断，网络上的因果推断）；视觉智能（如域自适应，领域泛化，场景图生成，密集预测）；科学、健康和教育领域的人工智能
Trustworthy Machine Learning (e.g., robustness, fairness, safety, causality, explainability, transferability); Generative Artificial Intelligence (e.g., large language models, large multimodal models, diffusion models); Machine Learning for Causal Inference (e.g., complex treatments, continual causal inference, causal inference on networks); Visual Intelligence (e.g., domain adaptation, domain generalization, scene graph generation, dense prediction); AI for Science, Health, and Education

机器学习、计算机安全、软件工程、系统分析、逆向工程、程序分析、软件测试
Machine Learning, Computer Security, Software Engineering, System Analysis, Reverse Engineering, Program Analysis, Software Testing

生物医学工程工具开发，生物医学设备工程设计，生物保存，癌症研究，即时诊断
Biomedical engineering tools development, engineering design of biomedical devices for applications such as biopreservation, cancer research, and real-time diagnostics

人工智能/机器学习，网络，安全，体系结构，无线网络，网络安全，深度强化学习，可信人工智能，可解释人工智能，安全智能计算，模型压缩，人工智能效率，人工智能安全，人工智能系统与软硬件协同设计
AI/ML, Networking, Security, Architecture, Wireless Network, Cyber Security, Deep Reinforcement Learning, Trustworthy AI, Explainable AI, Secure and Intelligent Computing, Model Compression, AI Efficiency, AI Security, AI System and SW/HW Co-design

机器学习与数据科学理论
Machine Learning and Data Science Theory

1. 内存系统性能优化 2. 存内计算与近内存计算 3. 加速新兴应用（如人工智能、图算法等）
1. Memory system performance optimization 2. In-storage computing and near-storage computing 3. Accelerating emerging applications (such as artificial intelligence, graph algorithms, etc.)

机器学习（深度学习，强化学习，迁移学习），统计学（因果推断，贝叶斯统计，空间统计，高维统计，时间序列分析，存活分析，元分析，图模型），生物统计和生物信息，精算科学，应用数学，临床试验设计等
Machine Learning (Deep Learning, Reinforcement Learning, Transfer Learning), Statistics (Causal Inference, Bayesian Statistics, Spatial Statistics, High-dimensional Statistics, Time Series Analysis, Survival Analysis, Meta-analysis, Graphical Models), Biostatistics and Bioinformatics, Actuarial Science, Applied Mathematics, Clinical Trial Design, etc.

近场通信，光通信与无线通信融合，通信与感知融合，信号处理，宽带接入网络，应用于数据中心，6G，物联网等。
Near field communication, Optical communication and wireless communication integration, Communication and perception integration, Signal processing, Broadband access network, applied to data centers, 6G, Internet of Things, etc.

可解释性人工智能、算法公平性、人机交互、社交媒体的社会影响
Interpretable AI, Algorithm Fairness, Human-Computer Interaction, Social Impact of Social Media

Programming language and system research for quantum computing. Specific research areas include: (1) programming language and compiler design for quantum applications; (2) formal verification of quantum programs; (3) system design for quantum devices; (4) practical quantum algorithms.

1. 移植物抗宿主病（GVHD）的生物学：调节和炎症信号、GvHD发病率和死亡率的生物标志物。2. 骨髓源性抑制细胞（MDSCs）的生物学：调节分化、迁移、免疫抑制功能、代谢以及治疗策略。3. 多发性骨髓瘤肿瘤微环境的免疫学：免疫系统相互作用、控制恶性浆细胞增殖、开发新的治疗策略。
1. Biology of Graft-versus-host disease (GVHD): regulatory and inflammatory signaling, biomarkers for GvHD morbidity and mortality. 2. The biology of myeloid-derived suppressor cells (MDSCs): regulation of differentiation, trafficking, immunosuppressive function, metabolism, and therapeutic strategies. 3. Immunology of tumor microenvironment in multiple myeloma: immune system interactions, control of malignant plasma cell proliferation, development of new treatment strategies.

机器学习、医疗健康人工智能、科学人工智能、健康基础模型、健康人工智能系统、可信机器学习算法
Machine Learning, AI for Healthcare, AI for Science, Health Foundation Models, Health AI Systems, Trustworthy Learning Algorithms

神经生物学、RNA生物学、免疫学，使用前沿的生物成像分析技术（包括细胞超分辨率荧光成像、单分子探测、高通量基因组成像）研究神经退行性疾病和癌症等疾病。高度学科交叉的研究课题涉及化学、物理、生物学和工程学。
Neurobiology, RNA Biology, Immunology, Diseases related to neurodegenerative diseases and cancer using advanced biological imaging analysis techniques (including super-resolution fluorescence imaging of cells, single-molecule detection, high-throughput genome imaging). Highly interdisciplinary research topics involving chemistry, physics, biology, and engineering.

机器学习系统优化
Machine Learning Systems (System for ML) optimization

计算机安全
Computer Security

电力系统稳定性，逆变器暂态响应
Power system stability, inverter transient response

我的研究主要集中在软件工程、网络安全和数据科学的交叉领域，涉及社会技术方面，以及对不同类型软件构件（例如代码、执行跟踪、错误报告、问答帖子和开发者网络）的分析及它们之间的相互作用。我们特别感兴趣将被动软件工程数据转化为自动化工具，以提高系统的可靠性、安全性和性能，提高开发者的生产力，并为决策者产生新的见解。
My research primarily works at the intersection of software engineering, cybersecurity and data science, encompassing socio-technical aspects, and analysis of different kinds of software artifacts (e.g., code, execution traces, bug reports, Q&A posts, and developer networks) and the interplay among them. We are particularly interested in transforming passive software engineering data into automated tools that can improve system reliability, security, and performance, increase developer productivity, and generate new insights for decision-makers.

人工智能，安全隐私，计算机体系结构
Artificial Intelligence, Security Privacy, Computer Systems

可解释性人工智能，算法公平性，人机交互，社交媒体的社会影响
Explainable AI, Algorithmic Fairness, Human-Computer Interaction, Social Impact of Social Media

公共交通和可持续交通系统相关项目（例如自行车、电动车和共享出行），交通领域中的人工智能/机器学习和大数据应用，多模式交通，电动出行，空间可达性至重要目的地
Projects related to public transit and sustainable transportation systems (e.g., bicycles, EVs, and shared mobility), AI/ML and big data applications in transportation, Multimodal transportation, E-mobility, Spatial accessibility to essential destinations

可信人工智能，数据隐私与安全，隐私保护技术实现，人工智能立法，人工智能在系统安全中的应用，人工智能在医疗健康领域中应用 Trustworthy AI, Data Privacy and Security, Privacy enhancing techniques, AI Act, AI for System Security, AI for Healthcare

Looking for students who are interested in automatic control, reinforcment learning, human-AI interactions and applications on UAV, UGV, and robot arms

Program Analysis, Software/Web security, Algorithmic Complexity

Human-Computer Interaction, Human-AI Interaction, AR/VR/MR, Social XR for Learning and Collaboration, Child-Centered Design, Intelligent Educational Systems, Social Computing, Computer-Supported Cooperative Work

去中心化人工智能模型推断和训练
Decentralized AI model inference and training

昆虫扑翼飞行动力学数值模拟，海洋柔性结构流固耦合仿真，基于物理学的机器学习算法
Numerical simulation of insect flapping flight dynamics, fluid-structure interaction simulation of marine flexible structures, physics-based machine learning algorithms

AI agent, 人机交互HCI
AI agent, Human-Computer Interaction (HCI)

软件供应链安全、隐私保护和合规检测、移动/IoT安全、系统安全、网络安全、软件工程、可信计算、AI安全、隐私和政策
Software supply chain security, privacy protection and compliance detection, mobile/IoT security, system security, network security, software engineering, trusted computing, AI security, privacy and policy

深度学习理论（包括优化），扩散生成模型（包括概率机器学习、采样和度量传输），AI4Science
Deep learning theory (including optimization), diffusion generative model (including probabilistic machine learning, sampling, and measure transport), AI4Science

可信赖机器学习，大模型和Agent，统计信号处理，机器学习安全，鲁棒性，隐私保护
Trusted Machine Learning, Large-scale Models and Agents, Statistical Signal Processing, Machine Learning Security, Robustness, and Privacy Protection

深度学习，统计与概率机器学习，计算机视觉，贝叶斯深度学习
Deep Learning, Statistical and Probabilistic Machine Learning, Computer Vision, Bayesian Deep Learning

优化、机器学习和统计学交叉问题
Intersection problems of optimization, machine learning, and statistics

材料科学、固体力学、生物医学工程
Materials science, solid mechanics, biomedical engineering

梅胜林实验室专注于肿瘤微环境在肿瘤进展和转移过程中的重塑和调控机制。目前的研究方向包括开发整合多模态数据的计算方法，研究肿瘤微环境的环境依赖性重塑，识别肿瘤微环境中的新调控因子，并探索肿瘤器官特异性转移与多组学数据整合。
The Mei Laboratory focuses on the remodeling and regulatory mechanisms of the tumor microenvironment during tumor progression and metastasis. Current research directions include developing computational methods for integrating multi-modal data, investigating context-dependent remodeling of the tumor microenvironment, identifying novel regulators within the tumor microenvironment, and exploring tumor organ-specific metastasis with multi-omics data integration.

计算机视觉、大规模模型、机器人
Computer Vision, Large-scale Models, Robotics

机器人、机器视觉、人工智能在农业中的应用
Robotics, Computer Vision, Artificial Intelligence in Agriculture

可信机器学习，差分隐私，遗忘学习
Trustworthy Machine Learning, Differential Privacy, Forgetting Learning

多模式基础模型在建筑学、地理学、城市计算和人工智能驱动的地理设计中的应用
Multi-modal foundation models in architecture, geography, urban computing, and AI-driven geo-design

该研究项目致力于开发和应用机器学习/深度学习方法进行生物医学图像分析和预测。涉及利用先进的神经影像技术进行人工智能驱动的神经生物标志物发现，用于脑机交互和精准医学。
The research project focuses on developing and applying machine learning/deep learning methods for biomedical imaging analysis and prediction. It involves artificial intelligence (AI)-driven neural biomarker discovery using advanced neuroimaging techniques for brain-computer interaction and precision medicine.

大规模分布式能源资源聚合、不确定性下的定价、储能在电力市场的应用、面向能源消费者的大语言模型、氢能在电力系统中的集成
Large-scale distributed energy resource aggregation, pricing under uncertainties, energy storage integration in the electricity market, large language models for energy consumers, hydrogen storage for grid resilience

海洋管理，海洋科学，海洋政策，环境，动物，公共健康，贸易，航运，气候变化，生物入侵，决策分析
Marine management, marine science, marine policy, environment, animals, public health, trade, shipping, climate change, biological invasion, decision analysis

物联网安全与隐私
IoT Security and Privacy

设计、开发和应用先进功能膜材料，实现水—能源—食物系统的循环经济。研究包括材料创新、过程设计、理论模型和人工智能，用于开发新型膜材料和膜过程，用于饮用水净化、新型污染物处理、废弃物回收和资源再利用。
Design, development, and application of advanced functional membrane materials for achieving circular economy in the water-energy-food system. Research includes material innovation, process design, theoretical models, and artificial intelligence for developing new membrane materials and membrane processes for drinking water purification, novel pollutant treatment, waste recovery and resource reuse.

区块链、智能合约和DApps安全；新兴基础设施安全，如AI服务和开源供应链
Blockchain, smart contracts, and DApps security; emerging infrastructures security, such as AI services and open-source supply-chain

细胞应激反应的分子机制，重点关注线粒体应激、内质网（ER）应激和下游的整合应激反应（ISR）。采用跨学科方法，包括结构生物学（冷冻电镜/Cryo-ET）、生物化学（蛋白质表征）和细胞生物学（荧光成像）来开展研究。旨在调节生理和病理条件下的应激反应途径，为人类疾病如神经退行性疾病、代谢紊乱和癌症等开发新疗法。与疾病相关小鼠模型领域的专家合作，以补充机制性研究成果。
Cell stress response molecular mechanisms, focusing on mitochondrial stress, endoplasmic reticulum (ER) stress, and downstream integrated stress response (ISR). Interdisciplinary approaches including structural biology (cryo-EM/Cryo-ET), biochemistry (protein characterization), and cell biology (fluorescence imaging) are utilized. Aim to regulate stress response pathways under physiological and pathological conditions for the development of novel therapies for human diseases like neurodegenerative diseases, metabolic disorders, and cancer. Collaborations with experts in disease-relevant mouse models field to complement mechanistic research findings.

申请者将从人类认知的角度理解和改进大型语言模型
The applicant will understand and improve large language models from a human cognition perspective.

机器人学习、视觉语言模型（VLM）-基础机器人学习、少样本/零样本学习、强化学习、人机环环机器人学习、人机协作、人机交互、人机协同
Robot Learning, Vision Language Model (VLM)-based Robot Learning, Few-shot/Zero-shot Learning, Reinforcement Learning, Human-in-the-Loop Robot Learning, Human-Robot Collaboration, Human-Robot Interaction, Human-Computer Interaction

硬件安全, 人工智能/机器学习系统, 电路和EDA, 生物医学工程, 无线通信
Hardware Security, AI/ML systems, Circuits and EDA, Biomedical Engineering, Wireless Communications

机器学习、语言模型哲学、人工智能与社会科学交叉
Machine Learning, Philosophy of Language Models, Intersections of Artificial Intelligence and Social Sciences

研究兴趣主要集中在混合整数规划的理论基础，开发能够解决实际问题的离散优化算法，以及离散优化与机器学习的交叉创新研究。
Research interests mainly focus on the theoretical foundations of mixed-integer programming, developing discrete optimization algorithms to solve practical problems, and innovative research at the intersection of discrete optimization and machine learning.

3D计算机视觉，低级计算机视觉，模型预测控制和强化学习，机器人学与体现人工智能，深度学习
3D Computer Vision, Low-level Computer Vision, Model Predictive Control and Reinforcement Learning, Robotics and Embodied AI, Deep Learning

电力电子和电力驱动，主要应用包括：电动汽车、电动飞机、机器人, 新能源功率变换等
Electric Power, focusing on electric power electronics and electric drives applied in electric vehicles, electric aircraft, robots, new energy power conversion, etc.

数据科学、机器学习、优化理论、交通科学、运筹管理、信息系统、定量方法
Data Science, Machine Learning, Optimization Theory, Transportation Science, Operations Management, Information Systems, Quantitative Methods

统计建模，机器学习，可信人工智能
Statistical modeling, machine learning, trustworthy AI

基于新型材料系统的电子和光子器件的设计、制造和表征，包括低维材料、相变材料和超晶格结构。通过光谱和显微技术理解新兴材料平台中的能量转移机制。
Design, manufacturing, and characterization of electronic and photonic devices based on novel material systems, including low-dimensional materials, phase-change materials, and superlattice structures. Understanding energy transfer mechanisms in emerging material platforms through spectroscopy and microscopy techniques.

(1) 计算机视觉，3D视觉重建与生成，数字人重建. (2) 生成式AI，公平/无偏/负责任AI. (3) 多模态学习，视觉与语言 (1) Computer Vision, 3D Reconstruction and Generation, Digital Humans. (2) Generative Models, Fair/Unbiased/Responsible AI. (3) Multimodal Learning, Vision and Language

光学制造与测试，激光干涉术，立体视觉，3D打印轻量化镜面结构设计与测试，计算机视觉与光谱技术用于增材制造过程控制，紧凑型干涉仪用于环境监测
Optical Fabrication and Testing, Laser Interferometry, Stereo-Vision, 3D Printed light-weighted mirror structure design and testing, Computer vision with Spectroscopy for additive manufacturing process control, Compact interferometer for environment monitoring

移动计算, 物联网, 以人为中心的计算
Mobile Computing, Internet of Things (IoT), Human-Centered Computing

LLM & Agent安全、系统安全、自动驾驶
LLM & Agent Security, System Security, Autonomous Driving

传热学、材料科学、先进制造
Heat transfer, materials science, advanced manufacturing

大数据算法和系统，深度学习
Big Data Algorithms and Systems, Deep Learning

高分子化学和物理、纤维和纺织材料、智能材料和软体机器人、先进制造、热科学、建筑解决方案、空气质量控制、能源可持续性
Polymers chemistry and physics, Fibers and textile materials, Smart materials and soft robotics, Advanced manufacturing, Thermal science, Building solutions, Air quality control, Energy sustainability

软件可靠性，软件安全，系统安全，软件工程，Deepfake检测，生成式AI，机器学习，计算机视觉，自动驾驶，智能交通，分布式量子计算和网络，边缘计算，联邦学习，AI系统与应用，形式化验证，类型论，编程语言，移动计算，数字医疗，无线感知
Software Reliability, Software Security, System Security, Software Engineering, Deepfake Detection, Generative AI, Machine Learning, Computer Vision, Autonomous Driving, Intelligent Transportation, Distributed Quantum Computing and Networking, Edge Computing, Federated Learning, AI Systems and Applications, Formal Verification, Type Theory, Programming Languages, Mobile Computing, Digital Healthcare, Wireless Sensing

生物医学光学、仪器学、生物力学、生物物理学、机械生物学、癌症早期检测、胚胎发育缺陷
Biomedical Optics, Instrumentation, Biomechanics, Biophysics, Mechanobiology, Cancer Early Detection, Embryonic Development Defects

传感器信号处理，mmWave雷达/摄像头传感器融合，应用包括自动驾驶，医疗检测，智能交通
Signal processing of sensors, mmWave radar/camera sensor fusion for applications like autonomous driving, medical detection, intelligent transportation

边缘人工智能在移动设备、AR、可穿戴设备、机器人和物联网中的应用；高效多模态大语言模型和生成式人工智能在特定领域的应用；人工智能在无线网络、视频/音频分析和智能感知系统中的应用；大语言模型和生成式人工智能的系统架构；联邦学习及其系统实现；面向健康科技的人机交互和移动健康（mHealth），如数字心理健康、智能助听器、手语翻译、药品识别等
Edge AI applications in mobile devices, AR, wearable devices, robots, and IoT; Efficient multimodal large language models and generative AI with applications in specific domains; AI applications in wireless networks, video/audio analysis, and intelligent perception systems; System architecture of large language models and generative AI; Federated Learning (FL) and its system implementation; Human-computer interaction and mobile health (mHealth) for health technology, such as digital mental health, smart hearing aids, sign language translation, drug identification, etc.

交通系统电气化，侧重于车辆路径规划和充电调度；连接和自主交通系统，侧重于车辆编队、瓶颈控制、信号控制
Transport system electrification focusing on vehicle routing and charging scheduling, Connected and autonomous transport systems focusing on vehicle platooning, bottleneck control, signal control

机器学习理论（例如，强化学习理论，赌博学习理论和生成式人工智能），凸优化和非凸优化算法设计与分析，系统资源分配理论，无线通信网络性能分析，边缘计算和云计算，智能电网控制理论
Machine Learning Theory (e.g., Reinforcement Learning Theory, Bandit Learning Theory, and Generative AI), Convex and Non-convex Optimization Algorithm Design and Analysis, System Resource Allocation Theory, Wireless Communication Network Performance Analysis, Edge Computing and Cloud Computing, Smart Grid Control Theory

(1) AI for Science in chemistry and material science, including machine learning interatomic potentials, generative models, and reaction networks development & applications (2) Atomistic simulations with statistical mechanics & first-principles calculations in disordered/amorphous/interfacial systems (3) Computational modeling of complex materials for renewable energy applications (e.g., Li/Na-ion battery cathodes/electrolytes/interfaces)

GNN, LLM, IR, RecSys, Time Series: Graph Neural Networks. Text-attributed graph and multimodal graph with (M)LLMs; Graph foundation models; Robustness and scalability of graph learning (OOD, test-time, condensation, distillation, graph-MLP etc.). Recommendations and Information Retrieval. RL for recommendations; Rich side-information in recommendations with (M)LLMs; Domain-specific IR and document understanding with LLMs. Time Series. Foundation models for time series; LLMs for time series; Time series for cross-disciplinary applications.

1 postdoc fellow position for intelligent brain signal processing, natural language processing, AI

以数据为中心的人工智能，涉及人工智能安全和隐私、移动传感和物联网数据管理的跨学科研究
Data-centered artificial intelligence, interdisciplinary research involving AI security and privacy, mobile sensing, and IoT data management

人工智能安全、人工智能在智能无线通信和网络中的应用
AI security, AI applications in intelligent wireless communication and networking

软件可靠性，系统安全，软件工程
Software Reliability, System Security, Software Engineering

生成式人工智能，计算机视觉，机器学习
Generative AI, Computer Vision, Machine Learning

机器学习，重点关注将交互式机器学习与基础模型相连接。具体研究方向包括AI安全与对齐，基于LLM的交互式学习代理和系统，大型模型的高效训练和推断，大型模型的测试和评估系统，以及变压器/注意力/交互式ML的理论基础。
Machine learning, with a focus on connecting interactive ML with foundation models. Specific research directions include AI safety and alignment, LLM-based interactive learning agents and systems, efficient training and inference for large models, testing and evaluation systems for large models, and theoretical foundations of transformer/attention/interactive ML.

数据融合，异常检测，加强学习在质量与可靠性工程，复杂制造系统和医疗系统中的应用
Data fusion, anomaly detection, reinforcement learning applied to quality and reliability engineering, complex manufacturing systems, and healthcare systems

计算机视觉, 机器人技术, 无人机技术, 基础设施检测与管理, 人机交互
Computer Vision, Robotics, Drone Technology, Infrastructure Inspection and Management, Human-Robot Interaction

网络分析和算法设计，组合优化，近似算法，机器学习，深度学习在智能电网网络，社交网络等领域
Network analysis and algorithms design, combinatorial optimization, approximation algorithms, machine learning, deep learning in smart grid networks, social networks, etc

高性能计算、分布式系统、深度学习系统
High Performance Computing, Distributed Systems, Deep Learning Systems

高性能计算在科学计算，人工智能，大数据，深度学习，数据挖掘，比特币挖矿，计算金融，量化交易等领域的应用
High-Performance Computing in the applications of Scientific Computing, Artificial Intelligence, Big Data, Deep Learning, Data Mining, Bitcoin Mining, Computational Finance, Quantitative Trading, etc.

高性能计算、并行编程、程序分析、软件工程、性能剖析工具、机器学习系统
High Performance Computing, Parallel Programming, Program Analysis, Software Engineering, Performance Profiling Tools, Machine Learning Systems

机器学习和人工智能提升系统安全，网络安全和隐私，无线通信和应用（例如，WiFi，毫米波mmWave），机器学习应用，移动计算和感知，无线物联网和智能医疗
Security in Machine Learning/Artificial Intelligent Systems, Applied Machine Learning, Cybersecurity and Privacy, Mobile Sensing, Wireless Communication and application (e.g., WiFi, mmWave), Internet-of-things (IoT) and Smart Healthcare

超表面平面光学，半导体器件，超快非线性光学，先进成像技术，生物医学传感，夜视，可再生能源，海洋探测
Metasurface flat optics, semiconductor devices, ultrafast nonlinear optics, advance imaging technology, biomedical sensing, night vision, renewable energy, ocean exploration

机器学习与人工智能（可信的机器学习，学习增强算法，高效的大型人工智能模型等），决策智能与优化（强化学习，在线优化/控制，在线资源分配，在线匹配等），信息物理系统与关键设施（数据中心、能源系统和智能城市应用中的资源管理等），云/边缘计算与网络（能量收集系统，边缘人工智能，分布式计算等）
Machine Learning and Artificial Intelligence (trustworthy ML, learning-augmented algorithms, efficient large AI models, etc.), Decision Intelligence and Optimization (reinforcement learning, online optimization/control, online resource allocation, online matching, etc.), Cyber Physical Systems and Critical Infrastructures (resource management in data centers, energy systems, and smart city applications, etc.), Cloud/Edge Computing and Networks (energy harvesting systems, edge AI, distributed computing, etc.)

硬件安全，包括但不限于汽车系统安全，硬件安全，侧信道攻击和算法，木马检测，故障攻击和检测，后量子密码算法，PUF安全与应用，以及机器学习在硬件安全领域的应用和扩展。
Hardware Security, including but not limited to Automotive System Security, Hardware Security, Side-Channel Attacks and Algorithms, Trojan Detection, Fault Attacks and Detection, Post-Quantum Cryptography Algorithms, PUF Security and Applications, and the Application and Extension of Machine Learning in Hardware Security.

计算机体系结构、GPGPU架构、安全架构
Computer Architecture, GPGPU architecture, Secure architecture

电力电子、电机驱动、智能电网、控制和数据分析
Power electronics, electric machines, smart grid security, control and data analytics

控制、机器学习/强化学习、可持续电力和能源系统的优化、智能物理信息系统
Control, machine/reinforcement learning, optimization for sustainable power and energy systems, cyber-physical systems

1) 计算机体系结构设计，如Compute Express Link and GPU for performance and sustainablity。2) 硬件安全，如hardware-based attacks and defenses on GPU and System-on-Chips。3) 机器学习系统，ML systems on serverless computing,  personalization and retrieval-augmented generation based on Large language models。
1) Computer Architecture Design, such as Compute Express Link and GPU for performance and sustainability. 2) Hardware Security, such as hardware-based attacks and defenses on GPU and System-on-Chips. 3) Machine Learning Systems, focusing on ML systems on serverless computing, personalization, and retrieval-augmented generation based on Large language models.

AI在科学中的应用、化学、蛋白质、生物医学、药物发现、毒理学、深度学习、自然语言处理
AI for science, chemicals, proteins, biomedicine, drug discovery, toxicology, deep learning, NLP

数学优化及其在运筹学、现代数据科学和机器学习中的应用
Mathematical optimization and their applications in operations research, modern data science and machine learning

高速、下一代物联网系统，使用毫米波技术进行高分辨率感知和通信，在毫米波频率下的机器学习应用优化物联网系统
High-speed, next-generation IoT systems using millimeter wave (mmWave) technology, high-resolution sensing and communication in mmWave frequencies, machine learning applications for optimizing IoT systems

开发和应用新颖可信的机器学习（ML）和人工智能（AI）解决方案，以解决医疗挑战和新兴生物医学问题。利用包括电子健康记录、临床记录、信号或多组学数据在内的大规模电子健康数据，跨越各种医疗领域。专注于医院急诊、住院和重症医学研究，涉及无监督学习聚类、监督学习、时间数据建模、临床记录分析和模型公平解释性。
Development and application of novel, trustworthy machine learning (ML) and artificial intelligence (AI) solutions for healthcare challenges and emerging biomedical problems. Working with large-scale electronic health data including electronic health records, clinical notes, signals, or multi-omics data across various healthcare domains. Focus on hospital emergency, inpatient, and critical care medicine research involving unsupervised learning clustering, supervised learning, temporal data modeling, clinical note analysis, and model fairness interpretability.

电力电子、EMI（电磁干扰）、硬件安全
Power Electronics, EMI (Electromagnetic Interference), Hardware Security

GenAI/DL/ML in Health, 生成式人工智能，人工智能中的公平性，跨学科应用：生物医学，神经科学，智能医疗，信息物理系统等
GenAI/DL/ML in Health, Generative Artificial Intelligence, Fairness in Artificial Intelligence, Interdisciplinary Applications in Biomedical, Neuroscience, Intelligent Healthcare, Information-Physical Systems

实时数据驱动的大规模网络化机器人控制和优化，特别关注网络化机器人如连接和自动驾驶汽车
Real-time data-driven control and optimization of large-scale cyber-physical systems with a special emphasis on network of robots such as connected and autonomous vehicles

微纳制造、柔性电子、多功能材料以及力学等在医疗、柔性机器人和制造等领域的应用
Micro and Nano Manufacturing, Flexible Electronics, Multifunctional Materials, Mechanics with applications in healthcare, flexible robotics, and manufacturing

Formal Verification, Programming Languages, OS for Quantum Computing

Data Mining, Graph Machine Learning, Computational Epidemiology, Smart Health

人工智能 + 数据库, 高维数据系统, 向量数据库, 信息检索, 大型语言模型（LLM）的RAG，为AI应用设计数据库架构，高维数据管理
AI + Database, high-dimensional data systems, vector database, information retrieval, RAG for large language model (LLM), database architecture for AI applications, high-dimensional data management

数据科学/分析
Data Science/Analytics

统计建模，数据挖掘，机器学习在交通工程，智慧交通和智慧城市中的应用
Statistical modeling, data mining, machine learning in transportation engineering, smart transportation, and smart cities

量子计算、量子机器学习、建筑和城市能源系统的数据驱动优化以实现脱碳、室内环境质量和控制
Quantum Computing, Quantum Machine Learning, Data-Driven Optimization of Building and Urban Energy Systems for Decarbonization, Indoor Environmental Quality and Control

新架构的编译器和编程系统, 量子机器学习和量子化学的机器学习, 量子电路优化, 量子纠错, 表面码, 晶格手术, LDPC码, 强化学习和扩散模型用于生成量子电路构建, 量子位映射, 脉冲优化, 量子最优控制和误差缓解, 波色计算, 混合连续变量(CV)离散变量(DV)量子系统, 量子近似优化算法(QAOA), 变分量子本征求解器(VQE)和量子傅里叶变换(QFT), 存储器局部性优化, 计算重排序和数据布局变换, 以及共享存储器层次结构, GPU, 信息流跟踪, 寄存器分配, 二进制解码/仪器化, 图分区模型及其在GPU局部性优化中的应用, 马尔科夫链, 排队模型和跟踪拟合
Compiler and programming systems for emerging architectures, Quantum machine learning and machine learning for quantum chemistry, Quantum circuit optimization, quantum error correction, surface code, lattice surgery, LDPC codes, Reinforcement learning and diffusion models for generative quantum circuit construction, Qubit mapping, pulse optimization, quantum optimal control, and error mitigation, Bosonic computing, hybrid continuous-variable (CV) discrete-variable (DV) quantum systems, Quantum approximate optimization algorithms (QAOA), variational quantum eigensolvers (VQE), and quantum Fourier transformation (QFT), Memory locality optimization, computation reordering and data layout transformation, and shared memory hierarchies, GPUs, information flow tracking, register allocation, and binary decoding/instrumentation, Graph partition models and their application for GPU locality optimization, Markov chains, queueing models, and trace fitting

遥感和大气边界层研究
Remote Sensing and Atmospheric Boundary Layer Studies

复杂网络上的机器学习、数据科学及其在流行病学、医疗保健和生物学中的应用
Machine learning on complex networks, data science and their applications on epidemiology, healthcare and biology

网络物理系统（CPS）和物联网（IoT），侧重于安全性/安全性/保证，实时性和机器学习/大型语言模型/基础模型启用的CPS，涉及应用，包括自动驾驶车辆，无人机和机器人
Cyber-Physical Systems (CPS) and Internet-of-Things (IoT) with focuses on security/safety/assurance, real-time, and machine learning/large language model/foundation model-enabled CPS, addressing applications including autonomous vehicles, drones, and robots

开发先进的计算算法和管道，用于整合和分析大规模生物数据，特别关注癌症组学和微生物组数据。识别人类基因变异与疾病风险之间的相关性，以创建新的诊断工具。
Developing advanced computational algorithms and pipelines for the integration and analysis of large-scale biological data, particularly focusing on cancer omics and microbiome data. Identifying correlations between human genetic variations and disease risks to create novel diagnostic tools.

纳米/生物界面与应用，主要关注生物传感器设备与系统的开发，以及生物-材料界面的研究和应用。
Nano/Bio Interface & Application, focusing on the development of biosensor devices and systems, as well as the research and application of bio-material interfaces.

以人为中心的人工智能，以社会为本的人工智能，可信人工智能，XAI，生成式人工智能，多模态大型语言模型，虚假信息检测与解释，推荐系统，众包，众感，人工智能集体智慧，联邦学习，边缘计算，物联网，隐私，鲁棒性，FATE（公平性，责任性，透明性，伦理学）
Human-centered AI, AI for Social Good, Trustworthy AI, XAI, Generative AI, Multimodal Large Language Model, Misinformation Detection and Explanation, Recommender Systems, Crowdsourcing, Crowdsensing, Human-AI Collective Intelligence, Federated Learning, Edge Computing, Internet of Things (IoT), Privacy, Robustness, FATE (Fairness, Accountability, Transparency, Ethics)

1. 创伤后应激障碍的机制研究与疗法开发; 2. 环境应激因素与创伤后应激障碍的关系; 3. 脑损伤（缺血性中风、创伤性脑损伤、新生儿缺血缺氧）的病理生理学与干预策略; 4. 神经退行性疾病（阿尔茨海默症）的机制研究与治疗方法开发。
1. Mechanisms and therapy development of post-traumatic stress disorder; 2. Relationship between environmental stressors and post-traumatic stress disorder; 3. Pathophysiology and intervention strategies of brain injuries (ischemic stroke, traumatic brain injury, neonatal hypoxic-ischemic encephalopathy); 4. Mechanisms and treatment methods development of neurodegenerative diseases (Alzheimer's disease).

城市洪涝灾害韧性分析，智慧与韧性基础设施，人工智能与机器学习，复杂基础设施网络（如水网，路网，电网等）
Resilience analysis of urban flood disasters, smart and resilient infrastructure, artificial intelligence and machine learning, complex infrastructure networks (such as water networks, road networks, power grids, etc.)

人工智能、多智能体系统、计算博弈论、多智能体强化学习、优化
Artificial intelligence, multi-agent systems, computational game theory, multi-agent reinforcement learning, optimization

增强学习, 数据物理系统, 移动计算
Reinforcement Learning, Cyber-physical System, Mobile Computing

高性能计算, 数据压缩, 科学数据管理
High-Performance Computing, Data reduction, Scientific data management

以OM、统计和机器学习为重点的商业分析
Business Analytics with focuses on OM, Stats, and ML

机器人中的三维视觉感知，基于点云的三维感知，不确定性估计，强化学习
3D Vision Perception in Robotics, Point Cloud-based 3D Perception, Uncertainty Estimation, Reinforcement Learning

卫星通信，无人机通信，分布式学习，数字融合
Satellite Communication, Drone Communication, Distributed Learning, Digital Convergence

端到端自动驾驶控制，智能网联车辆，合作驾驶自动化，基于模型和基于学习的最优控制（例如，强化学习）
End-to-end learning control for autonomous driving, Connected and automated vehicles (CAV), Cooperative driving automation (CDA), Model based and learning based optimal control (e.g., reinforcement learning)

1) 人工智能和机器学习, 2) 大数据处理和算法, 3) 跨学科合作方向：健康大数据和智慧医疗, 4) 跨学科合作方向：智慧医疗设备和机器学习算法, 5) 高效计算和软硬件设计
1) Artificial Intelligence and Machine Learning, 2) Big Data Processing and Algorithms, 3) Interdisciplinary Cooperation: Health Big Data and Smart Healthcare, 4) Interdisciplinary Cooperation: Smart Medical Devices and Machine Learning Algorithms, 5) Efficient Computing and Hardware Design

深度学习模型, 传感技术 (雷达、激光雷达、三维成像), 无线网络 (5G/6G、O-RAN、RIC 等), 信号与系统, 射频电路和天线设计
Deep Learning Models, Sensing Technologies (radar, lidar, 3D imaging), Wireless Networks (5G/6G, O-RAN, RIC, etc.), Signals and Systems, RF Circuit and Antenna Design

网络安全、5G、计算机通信
Network security, 5G, computer communications

生物医学信息学中的人工智能与机器学习，利用大数据、基因组学和计算方法提高骨折风险评估和改善弱势群体的医疗保健
AI & Machine Learning in Biomedical Informatics, using big data, genomics, and computational methods to enhance fracture risk assessment and healthcare for underserved populations

优化理论与计算、应用概率、不确定条件下的决策、数学建模、数据分析、医疗系统、机器学习、能源与电力系统、收入管理、供应链与物流
Optimization theory and computation, Applied probability, Decision-making under uncertainty, Mathematical modeling, Data analytics, Healthcare systems, Machine learning, Energy and power systems, Revenue management, Supply chain and logistics

基于神经影像学和遗传学的疾病进展建模和早期阿尔茨海默病检测，与医学院、普渡大学、宾夕法尼亚大学、杜克大学和梅奥诊所合作。研究领域包括神经影像学、遗传学、多组学整合/关联、生物信息学、深度学习、计算生物学。
Neuroimaging and genetics based disease progression modeling and early detection of Alzheimer’s disease, with collaborations with medical schools, Purdue University, UPenn, Duke University, and Mayo Clinic. Research areas include neuroimaging, genetics, multi-omics integration/association, bioinformatics, deep learning, computational biology.

专注于trustworthy NLP领域，侧重研究NLP模型包括LLM和VLM的幻觉、公平性和安全性，NLP和多模态模型的可靠性
Trustworthy NLP focusing on illusions, fairness, and security of NLP models including LLM and VLM, reliability of NLP and multimodal models

基于人工智能的控制与优化, 分布式控制与优化算法, 高比例可再生能源系统的规划与运行, 逆变器主导系统的动态建模与自适应控制, 大规模分布式能源的协同调控
AI-enabled control and optimization, Distributed control and optimization algorithms, High-renewable-penetration power system planning and operation, Dynamics modeling and adaptive control of inverter-dominant systems, Autonomous coordination of large-scale distributed energy resources

公共交通导向型开发(TOD), 地理信息系统(GIS)与空间分析, 定量分析, 机器学习, 人工智能的分析与应用
Public Transit-Oriented Development (TOD), Geographic Information Systems (GIS) and Spatial Analysis, Quantitative Analysis, Machine Learning, Artificial Intelligence in Analysis and Applications

计算机系统，体系结构，包括基于GPU和FPGA的机器学习加速器设计，存储系统，3D芯片设计。研究涉及到尖端的微处理器设计与开发，包括神经网络加速器，片上网络，GPU，3D存储，非易失性存储，LLM。应用和前景广泛。也欢迎具有电子工程背景的学生申请。该研究组拥有良好的科研环境和合作团队。加入该研究组的博士生在第一年已经发表了两篇在知名科研会议上的论文（DAC为第一作者，ISVLSI）。
Computer Systems, System Architecture, including GPU and FPGA-based machine learning accelerator design, storage systems, 3D chip design. Research involves cutting-edge microprocessor design and development, including neural network accelerators, on-chip networks, GPU, 3D storage, Non-volatile storage, LLM. Wide range of applications and prospects. Students with backgrounds in electronic engineering are also welcome to apply. The research group has a good research environment and collaborative team. PhD students who joined the group have already published two papers in well-known research conferences in their first year (DAC as first author, ISVLSI).

研究方向包括机器学习、序列/图数据、跨学科研究和社会影响
Research areas include machine learning, sequential/graph data, interdisciplinary research, and societal impact

光学，光子学，微电子机械系统（MEMS）
Optics, Photonics, Microelectromechanical systems (MEMS)

AI for Science, 在边缘计算中的优化与实现
AI for Science, optimization and implementation in Edge Computing

固态混合半导体（卤化钙钛矿），时间分辨光谱学，能源转换与存储，有机-无机混合体系的动态晶体性质，外部刺激下的光物质相互作用
Solid state hybrid semiconductors (halide perovskites), time-resolved optical spectroscopy, energy conversion and storage, dynamic crystalline nature of organic-inorganic hybrid systems, light-matter interactions under external stimuli

移动感知、人机交互、网络安全、智能健康人工智能
Mobile Sensing, Human-computer Interaction, Cybersecurity, AI for Smart Health

无线网络与移动计算、计算机系统与网络以及包括量子计算和受量子启发的计算在内的新兴非传统计算方法的交叉研究
Intersection of wireless networking and mobile computing, computer systems and networks, and emerging non-traditional computing methods including quantum and quantum-inspired computing

纠错编码、后量子密码学、硬件加速器、面向下一代存储和数字通信的编码方案和系统架构设计、硬件安全、后量子密码学、机器学习
error-correcting codes, post-quantum cryptography, hardware accelerators, coding schemes and system architecture design for next-generation memories and digital communications, hardware security, post-quantum cryptography, machine learning

自动控制、分布式优化、强化学习及其在智能电网中的应用
Control Systems, Distributed Optimization, Reinforcement Learning, Applications in Smart Grids

移动计算、物联网、可见光通信与感知、无线网络及安全、人机交互
Mobile Computing, Internet of Things, Visible Light Communication and Sensing, Wireless Networks and Security, Human-Computer Interaction

科学机器学习，生物健康人工智能
Scientific Machine Learning, AI for Biology and Health

智能通信；物联网；边缘人工智能; 邦联学习; 多智能体感知系统 Intelligent Communication System; IoT; Edge AI; Federated Learning; Multi-agent Sensing System

语义与目标导向的通信，人工智能与网络的交叉研究，人工智能在农业中的应用
Semantic and Goal-oriented Communications, Networks for AI and AI for Networks, Applied AI in Agriculture

能源系统、多孔介质理论与模拟、环境流体动力学、生物医学建模
Energy systems, porous media theory and simulation, environmental fluid dynamics, biomedical modeling

计算机视觉，多模态感知，视觉语言大模型
Computer Vision, Multimodal Perception, Vision-Language Models

与隐私计算系统和全新的可信计算TEE硬件设计相关的研究方向，重点关注加速器TEE，例如GPU/FPGA TEE。更多详细信息请参考导师网站。
Research areas related to privacy-preserving systems and novel trusted computing TEE hardware design, with a focus on accelerator TEEs such as GPU/FPGA TEE. More details can be found on the advisor's website.

多尺度先进材料及增材制造（3D打印），包括金属、复合材料和电池材料
Advanced materials at multiple scales and additive manufacturing (3D printing), including metals, composites, and battery materials

控制理论与算法、人工智能、机器人控制
Control Theory and Algorithm, Artificial Intelligence, Robotics

知識提取與歸納、可信大型語言模型、多語言機器理解、視覺語言模型
Knowledge Extraction and Generalization, Trustworthy Large Language Models, Multilingual Machine Understanding, Vision-Language Models

开发可访问的诊断工具，整合化学/生物学/医学、微-纳米技术和消费电子技术，以解决癌症、传染病、心脑血管疾病和神经系统疾病等疾病。利用微纳技术、机器学习、合成生物学、微流控和仿生学。
Accessible diagnostic tools, integrating chemistry/biology/medicine, micro- and nanotechnology, and consumer electronics to address diseases like cancer, infectious diseases, cardiovascular and neurological disorders. Utilizing micro/nano-technologies, machine learning, synthetic biology, microfluidics, and biomimetics.

物联网安全与隐私、数字孪生系统、协作式机器学习、先进无线通信
IoT security and privacy, digital-twin systems, collaborative machine learning, advanced wireless communications

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AI系统、无服务器计算、高性能计算、联邦学习、人工智能安全、可持续人工智能
AI System, Serverless Computing, HPC, Federated Learning, AI Security, Sustainable AI

控制优化, 电力系统规划与运行, 建筑家庭能源管理, 智能电网的大数据分析和机器学习, 电动车在电网中的能源管理
Control Optimization, Power System Planning and Operation, Residential Energy Management, Big Data Analysis and Machine Learning in Smart Grid, Energy Management in Electric Vehicles

控制学习，智能城市人工智能
Learning for control, AI for smart city

利用质谱、基因编辑和下一代测序技术研究环境暴露和内源代谢诱导的DNA损伤如何导致癌症和与衰老相关的疾病。在蛋白质组学、化学生物学、合成化学、基因编辑和生物信息学等领域接受跨学科培训。
Leveraging mass spectrometry, gene editing, and next-generation sequencing techniques to study how DNA damage induced by environmental exposure and endogenous metabolism contribute to cancer and aging related diseases. Interdisciplinary training in proteomics, chemical biology, synthetic chemistry, gene editing, and bioinformatics.

多机器人学习和运动规划, 机器人学, 机器学习
Multi-robot learning and motion planning, Robotics, Machine Learning

物理学、化学、电子学、磁学、机械工程、生物医学工程、软物质创新在医疗保健和能源方面的应用
Physics, Chemistry, Electronics, Magnetism, Mechanical Engineering, Biomedical Engineering, Soft Matter Innovation for Healthcare and Energy

物理学引导的机器学习，流体动力学的人工智能，动态系统的数据驱动控制
Physics-Informed Machine Learning, Artificial Intelligence for Fluid Dynamics, Data-Driven Control of Dynamic Systems

Yan Zhuang 团队专注于区块链技术、边缘计算和 Web3 技术在健康信息交换（HIE）和临床试验管理中的应用研究。
The research team led by Yan Zhuang focuses on the applications of blockchain technology, edge computing, and Web3 technology in health information exchange (HIE) and clinical trial management.

学习分析，教育人工智能，数据可视化
Learning Analytics, AI in Education (AIEd), Data Visualization

心血管流体力学，心血管疾病和医疗器械中的流固耦合
Cardiovascular Fluid Mechanics, Fluid-structure interaction in cardiovascular diseases and medical devices

安全研究
Security

材料科学与工程，机械工程，电气工程，化学工程。具体研究方向为基于电池的长时能量存储在系统和材料层面，包括电池管理系统，电池数据分析，电池材料/电池单体表征工具以及电池组设计。
Material Science and Engineering, Mechanical Engineering, Electrical Engineering, Chemical Engineering. Specifically focusing on battery-based long duration energy storage at system and material level, including battery management systems, battery data analysis, battery material/cell characterization tools, and design of battery packs.

安全人机交互/协作，多智能体学习和规划，机器人学习，具身人工智能，机器人和自主系统的基础模型，安全和交互自主驾驶和机器人导航，值得信任的人工智能/机器学习，深度强化学习和控制，智能交通系统与智慧城市
Safe Human-Robot Interaction / Collaboration, Multi-Agent Learning & Planning, Robot Learning, Embodied AI, Foundation Models for Robotics and Autonomous Systems, Safe and Interactive Autonomous Driving & Robot Navigation, Trustworthy AI/ML, Deep Reinforcement Learning & Controls, Intelligent Transportation Systems & Smart City

深度学习，决策分析，集成人工智能系统，在医疗保健，生命科学，能源和农业等领域的应用
Deep Learning, Decision Analytics, Integrated AI Systems with applications in healthcare, life science, energy, and agriculture

能源传输的计算建模和实验表征，热声子与其他能量载体（电子、光子、磁子）的相互作用，用于可再生能源转换、微电子制冷、空间和建筑技术、增材制造、生物医学工程、量子计算的材料设计和发现
Computational modeling and experimental characterization of energy transport, thermal phonons interactions with other energy carriers (electrons, photons, magnons), material design and discovery for applications in renewable energy conversion, microelectronics cooling, space and building technologies, additive manufacturing, biomedical engineering, quantum computing

生物医学工程、计算机科学、计算机工程、环境工程、电子工程、森林学、数学/统计、机械工程、航天工程、核工程、纺织科学/纺织工程、英语、国际研究、商科/管理、心理学、传播学、护士等
Biomedical Engineering, Computer Science, Computer Engineering, Environmental Engineering, Electrical Engineering, Forestry, Mathematics/Statistics, Mechanical Engineering, Aerospace Engineering, Nuclear Engineering, Textile Science/Textile Engineering, English, International Studies, Business/Management, Psychology, Communication, Nursing, among others

生物电子应用的模拟和混合信号集成电路设计
Analog and mixed-signal IC design for bioelectronics applications

数据挖掘，机器学习，社交计算，自然语言处理。研究兴趣包括社会利益型AI，可信AI，存在不完善数据的学习，应用机器学习，大型基础模型。
Data mining, machine learning, social computing, natural language processing. Research interests include AI for Social Good, Trustworthy AI, Learning with Imperfect Data, Applied Machine Learning, Large Foundation Models.

建筑生命周期碳排放、碳审计、碳捕集、零碳建筑
Life-cycle carbon emission of buildings, carbon audit, carbon capture, zero-carbon buildings

图神经网络及相关机器学习、数据挖掘、数学建模
Graph Neural Networks and related machine learning, data mining, mathematical modeling

在物联网、人工智能算法与系统、医疗数据与系统安全上的安全问题
Security on Cyber-physical system, IoT, AI algorithm and system, medical data and system

数据挖掘、自然语言处理、科学人工智能
Data Mining, Natural Language Processing, AI for Science

优化和机器学习，分布式/在线优化和学习，联邦学习，无线网络
Optimization and machine learning, Distributed/online optimization and learning, Federated learning, Wireless networks

增强型语言模型中的工具/流程/任务的自动化，增强型语言模型中的决策/推理的可靠性，可扩展/高效/安全的增强型语言模型系统，生成式AI中的数据优化/增强/选择，生成式AI中的算法-硬件协同设计
Tool/Chain/Task Automation in ALM, Decision/Reasoning Reliability in ALM, Scalable/Efficient/Safe ALM Systems, Data Optim/Augment/Select for Generative AI, Algo-Hardware Co-design for Generative AI

1. 自适应控制 2. 迭代学习控制 3. 非线性系统与控制 4. 多智能体/互联/网络/网络物理系统
1. Adaptive control 2. Iterative learning control 3. Nonlinear systems and control 4. Multiagent/interconnected/networked/cyber-physical systems

1. 基于类脑器件（包含但不限于忆阻器&硅光）的机器学习/深度学习算法算法以及电/光路硬件设计。2. 结合类脑硬件（包含但不限于Event-based Camera）的机器学习/深度学习算法。3. 生物神经网络启发的新机器学习/深度学习算法（包含但不限于Spiking Neural Network & Hopfield Neural Network & Reservoir Computing）。4. 也欢迎同学沟通，尊重每一个新的idea或方向，希望可以头脑风暴一些有趣的课题。
1. Machine learning/deep learning algorithms and electrical/optical circuit hardware design based on brain-like devices (including but not limited to memristors & silicon photonics). 2. Machine learning/deep learning algorithms combined with brain-like hardware (including but not limited to Event-based Camera). 3. New machine learning/deep learning algorithms inspired by biological neural networks (including but not limited to Spiking Neural Network, Hopfield Neural Network, Reservoir Computing). 4. Open to new ideas and directions, brainstorming for interesting topics.

可信人工智能，包括大型语言/视觉/多模态模型的健壮性以及用于物联网安全、网络安全和医疗保健的可信人工智能
Trustworthy AI, including Robustness of large language/vision/multi-modal models and Trustworthy AI for IoT security, cybersecurity, and healthcare

开发新的人机交互技术，用于医疗保健
Developing new human-machine interaction technologies for health care

信息系统和网络安全领域的人工智能应用
AI applications in Information Systems and Cyber Security

太赫兹通信
Terahertz communications

增强与虚拟现实系统，计算机网络，无线传感与通信，移动与可穿戴计算
Augmented and Virtual Reality Systems, Computer Networks, Wireless Sensing and Communication, Mobile and Wearable Computing

研究兴趣主要涵盖尾矿管理的各个方向，结合理论研究和实验研究。研究领域包括但不限于：尾矿沉降和固结，尾矿过滤性能，尾矿的流变学、岩土力学和力学行为，膏体充填，尾矿库稳定性，尾矿管理中的CO2固定。
Research interests mainly cover various aspects of tailings management, combining theoretical and experimental research. Research areas include but are not limited to: Sedimentation and consolidation, Filtration performance of thickened tailings, Rheological, geotechnical, and mechanical behaviors of tailings, Paste tailings backfill, Stability of tailings storage facilities, CO2 sequestration in tailings management.

计算断裂力学, 相场断裂模型, 自适应有限元方法, 机器学习替代模型
Computational fracture mechanics, phase field fracture model, adaptive finite element methods, machine learning surrogates

负责任人工智能、公平性、可解释性/可解释性、隐私、可靠人工智能、不确定性量化、鲁棒性、因果机器学习、良好人工智能
Responsible AI, Fairness, Interpretability/Explainability, Privacy, Reliable AI, Uncertainty Quantification, Robustness, Causal Machine Learning, AI for Good

生物材料、纳米医学、药物递送、基因编辑、生物医学工程、材料工程、纳米医学
Bio materials, Nanomedicine, Drug Delivery, Gene Editing, Biomedical Engineering, Materials Engineering, Nanomedicine

生物电子，利用生物电子材料或仿生材料开发新型生物电子传感器件
Bioelectronics, utilizing bioelectronic or biomimetic materials to develop novel bioelectronic sensor devices

生物科学、生物医学工程、化学、动物模型、啮齿动物行为、电压门控钠通道在心律失常发展中的分子机制、生物信息学
Biological sciences, biomedical engineering, chemistry, animal models, rodent behavior, molecular mechanisms of voltage-gated sodium channels in the development of cardiac arrhythmias, bioinformatics

多方多模态对话及在心理健康、教育等领域的应用；高效结构化预测和神经符号方法用于控制和增强神经网络；可靠的AI部署和评估
Multi-party Multi-modal Dialogue and its applications on Mental Health, Education, etc; Efficient Structured Prediction and Neuro-Symbolic Methods for Controlling and Augmenting Neural Networks; Robust Deployment and Evaluation of Trustworthy AI

金融科技、外汇资产定价、北美公司财务分析、金融中的深度学习应用、金融文本信息处理、微观公司财务理论模型、金融网络、资产定价因子
Financial Technology, Foreign Exchange Asset Pricing, North American Company Financial Analysis, Deep Learning Applications in Finance, Text Information Processing in Finance, Micro Company Financial Theory Models, Financial Networks, Asset Pricing Factors

应用密码学，包括但不限于密码分析、加密数据库、分布式系统中的密码学应用。欢迎对应用密码学其他分支感兴趣的学生。
Applied Cryptography, including but not limited to cryptanalysis, encryption databases (based on searchable encryption, private information retrieval, fully-homomorphic encryption constructions), and cryptographic applications in distributed systems. Other branches of applied cryptography are also welcomed.

能源存储材料和设备制造，包括固态电解质合成用于锂离子电池，以及高能量密度锂金属和锂离子电池的LMRO正极合成。
Energy storage materials and device manufacturing, including solid-state electrolyte synthesis for lithium-ion batteries, as well as synthesis of high energy density lithium metal and lithium-ion batteries LMRO cathodes.

纳米光学，光电器件，近场光学，二维材料和器件，纳米材料，电子工程，材料工程
Nanophotonics, Optoelectronic devices, Near-field optics, Two-dimensional materials and devices, Nanomaterials, Electrical engineering, Materials engineering

控制理论与算法、机器人控制、人工智能
Control Theory and Algorithms, Robot Control, Artificial Intelligence

有机/无机混合材料、化学和生物传感器、可穿戴和植入式设备
Organic/inorganic hybrid materials, chemical and biological sensors, wearable and implantable devices

1. 量子计算复杂度和量子密码学的相关基础问题 2. 量子实验设备的验证问题 3. 量子计算在信息安全和机器学习上的应用
1. Quantum computing complexity and foundational issues in quantum cryptography 2. Validation of quantum experimental devices 3. Applications of quantum computing in information security and machine learning

机器学习, 无线通信, 网络安全
Machine Learning, Wireless Communications, Network Security

1. 仿生光子学, 2. 光纤传感, 3. 微波光子学, 4. 软体机器人
1. Bio-inspired Photonics, 2. Fiber Optic Sensing, 3. Microwave Photonics, 4. Soft Robotics

存储中心计算、可靠和健壮的IC设计、异质集成纳米系统、嵌入式AI的软硬件协同设计
Memory-Centric Computing, Reliable and Robust IC Design, Heterogeneous Integrated Nanosystems, SW/HW Co-Design for Embedded AI

编程语言、分布式系统、机器学习，主要结合传统算法和大预言模型推进形式化验证方法，并应用于确保分布式系统、操作系统、量子计算架构等各种系统软件的安全 Programming languages, distributed systems, and machine learning, with a focus on combining classical algorithms and large language models to advance formal verification and applying it on distributed systems, operating systems and quantum computing frameworks

计算脑科学，人工智能和数据分析，功能性脑动力学
Computational Brain Science, Artificial Intelligence and Data Analytics, Functional Brain Dynamics

生物电子学、机器人学、人机交互、可穿戴和可植入生物传感器、人机交互、机器学习、机器人自动化、医疗技术
Bioelectronics, Robotics, Human-in-the-Loop Interaction, Wearable and Implantable Biosensors, Human-Machine Interaction, Machine Learning, Robotics Automation, Healthcare Technology

计算机安全与隐私，程序分析，漏洞检测，风险评估，物联网/移动安全，网络犯罪，威胁情报
Computer Security and Privacy, Program Analysis, Vulnerability Detection, Risk Assessment, IoT/mobile security, Cybercrime, Threat Intelligence

边缘计算、人工智能、移动互联网、智慧物联网、无线多媒体通信
Edge Computing, Artificial Intelligence, Mobile Internet, Internet of Things, Wireless Multimedia Communications

系统安全、隐私、云计算、可信执行环境、硬件安全、GPU安全、侧信道攻击、隐私保护、AI安全
System Security, Privacy, Cloud Computing, Trusted Execution Environment, Hardware Security, GPU Security, Side-Channel Attacks, Privacy Protection, AI Security

对社会有益的数据科学，可信机器学习，图机器学习，图基础模型，不平衡学习，数据稀少情况下的学习，社交媒体挖掘，社交网络分析
Data science for social good, trustworthy machine learning, machine learning on graphs, foundation models for graphs, imbalanced learning, data efficient learning, social media mining, social network analysis

研究方向包括纳米复合材料，陶瓷复合材料，碳纤维复合材料的先进制造，以及机械性能表征。
Research areas include nano composite materials, ceramic composite materials, advanced manufacturing of carbon fiber composite materials, and mechanical performance characterization.

基于物理信息的机器学习，医疗保健和工程中的深度学习，数据驱动的智能医疗等
Physical Information-based Machine Learning, Deep Learning in Healthcare and Engineering, Data-driven Intelligent Healthcare, etc.

人机交互（用户界面设计、交互技术、文本输入、手势、移动设备、可穿戴设备）、触觉与触觉交互（触觉界面、空中触觉、热触觉、多模态交互）、虚拟现实（元宇宙、3D用户界面、交互计算）
Human-Computer Interaction (UI/UX, interaction techniques, text entry, gesture, mobile, wearables), Tactile and Haptic Interaction (haptics interfaces, mid-air haptics, thermal, multimodal interaction), Virtual Reality (Metaverse, 3D user interfaces, interactive computing)

微生物代谢与生态、肠道微生物菌群、宿主-微生物相互作用、多尺度微生物群落建模、多组学数据整合分析、机器学习
Microbial metabolism and ecology, gut microbiota, host-microbe interactions, multiscale modeling of microbial ecosystem, integrative analysis of multiomics data, machine learning

新兴通信技术，物联网安全问题，侧信道攻击，无线通信/传感，网络安全，嵌入式系统，人工智能，基于人工智能的物联网
Emerging communication technology, IoT security issues, side-channel attacks, wireless communication/sensing, network security, embedded systems, artificial intelligence, AI-enabled IoT

无线网络，包括通信、网络、安全和感知，专注于利用机器学习技术提升无线网络在能效、实时响应、可扩展性、灵活性和安全性等关键性能方面的表现。未来研究方向包括下一代无线网络（例如，在 6G 网络和自动驾驶场景下基于多模态传感器融合的毫米波信道预测、目标跟踪、波束成形和网络安全）以及无源物联网（包括跨协议、跨介质、超低功耗通信、联网及其安全等）。
Wireless networks, including communication, networking, security, and sensing, with a focus on utilizing machine learning techniques to enhance the performance of wireless networks in key aspects such as energy efficiency, real-time responsiveness, scalability, flexibility, and security. Future research directions include next-generation wireless networks (e.g., millimeter-wave channel prediction based on multimodal sensor fusion in 6G networks and autonomous driving scenarios, target tracking, beamforming, and network security) and passive Internet of Things (including cross-protocol, cross-medium, ultra-low-power communication, networking, and security).

人体微生物组，癌症研究，阿兹海默症，贝叶斯统计，高维数据分析，假设检验，机器学习
Human microbiome, cancer research, Alzheimer's disease, Bayesian statistics, high-dimensional data analysis, hypothesis testing, machine learning

边缘计算、网络数字孪生、物联网、机器学习、网络安全
Edge Computing, Network Digital Twins, Internet of Things, Machine Learning, Network Security

开发小分子荧光探针及单分子荧光成像技术。具体寻找有机合成荧光探针、荧光光谱学、共聚焦显微镜成像、细胞染色、单分子超分辨成像、光学平台搭建、图像处理和机器学习背景的候选人。
Development of small molecule fluorescent probes and single molecule fluorescence imaging techniques. Specifically looking for candidates with backgrounds in organic synthesis of fluorescent probes, fluorescence spectroscopy, confocal microscopy imaging, cell staining, single-molecule super-resolution imaging, optical platform construction, image processing, and machine learning.

大规模模型训练和推理优化，异构系统支持，弹性训练
Large-scale model training and inference optimization, heterogeneous system support, elastic training

软件工程，软件工程中的人工智能（AI4SE），人工智能中的软件工程（SE4AI），程序分析，验证，修复，系统公平性
Software Engineering, AI for Software Engineering (AI4SE), Software Engineering for AI (SE4AI), program analysis, verification, repair, system fairness

安全与隐私、区块链、边缘计算、联邦学习
Security and Privacy, Blockchain, Edge Computing, Federated Learning

数据分析、贝叶斯统计、变量选择、微生物组分析、癌症和阿尔茨海默病
Data analysis, Bayesian statistics, Variable selection, Microbiome analysis, Cancer and Alzheimer's disease

基于深度学习的图像和视频处理与编码，机器编码，点云编码，视觉语言模型，生成式人工智能
Deep learning-based image and video processing and coding, coding for machines, point cloud coding, vision-language models, generative AI

研究领域包括材料物理和科学，重点关注能量材料和界面，生物聚合物的结构-性质，以及功能团簇。所使用的方法包括多尺度建模，第一性原理计算，分子动力学模拟，力场分子动力学模拟，机器学习等。该课题组与其他实验研究小组合作。
Research areas include materials physics and science focusing on energy materials and interfaces, structure-property of biopolymers, and functional clusters. Methods utilized range from multiscale modeling, first-principles calculations, molecular dynamics simulations, force field molecular dynamics simulations, to machine learning. The group collaborates with other experimental research groups.

机器学习系统，人工智能安全，数据库系统，数据挖掘，推荐系统，可扩展机器学习系统，人工智能算法的安全/隐私
Machine Learning Systems, AI Security, Database Systems, Data Mining, Recommendation Systems, Scalable Machine Learning Systems, Security/Privacy for AI Algorithms

NLP/ML/AI

南佛罗里达大学生物热研究实验室（BTR）致力于研究生物系统在热处理期间/之后的传热和生物学变化，重点关注各种生物系统的低温保存。具体研究领域包括低温保存系统设计，海洋生物低温保存，冷冻保护剂设计以及冷冻保存的供应链。鼓励对传热基础，各种生物体的冷冻保存，微纳米制造和微流体学感兴趣的申请人申请。
Research in the Bio-Thermal Research Lab (BTR) at the University of South Florida focuses on heat transfer and biological changes in biological systems during/after thermal manipulations, with a focus on cryopreservation of various biological systems. Specific research areas include cryopreservation system design, marine life cryopreservation, cryoprotectant agent design, and supply chain for cryopreservation. Candidates with interests in fundamental heat transfer, cryopreservation of various organisms, micro/nanofabrication, and microfluidics are encouraged to apply.

并行与分布式计算、计算机体系结构、优化GPU的不规则应用
Parallel and distributed computing, computer architecture, optimizing irregular applications for GPUs

纳米/生物界面与应用，主要关注生物传感器设备与系统的开发，以及生物-材料界面的研究和应用。
Nano/Bio Interface & Application, focusing on the development of biosensor devices and systems, as well as research and applications of bio-material interfaces.

大语言模型，大语言模型的强化学习，机器学习，知识图谱推理，图神经网络
Large Language Models, Reinforcement Learning for LLMs, Machine Learning, Knowledge Graph Reasoning, Graph Neural Networks

保护用户隐私，从不断发展的传感器和AI/ML时代的侧信道问题中，对声学、激光、电磁干扰等物理信号对计算机视觉、语音处理等感知系统的安全影响进行建模，为安全和医疗保健设计新颖的传感软件和硬件系统，Android、AR/VR等新兴移动计算平台以及AI DeepFake多媒体中与感知相关的安全和隐私问题。
Protecting user privacy from evolving sensors and side-channel problems in the age of AI/ML, Modeling the security impact of physical signals such as acoustics, lasers, and electromagnetic interference on computer vision, speech processing, and other sensing systems, Designing novel sensing software and hardware systems for security and healthcare, Sensing-related security and privacy problems in Android, AR/VR, and other emerging mobile computing platforms, as well as AI DeepFake multimedia.

高效深度学习、算法设计和优化以加速大规模学习系统、深度学习架构、机器学习、人工智能和机器人技术
Efficient deep learning, algorithm design and optimization for accelerating large-scale learning systems, deep learning architectures, machine learning, artificial intelligence, and robotics

机器学习，深度学习理论，机器学习隐私，分散式学习理论，机器学习对称性，经济学中的学习理论
Machine Learning, Deep Learning Theory, Privacy in Machine Learning, Theory of Decentralised Learning, Symmetry in Machine Learning, Learning Theory in Economics

大语言模型(LLM)在智能建筑和城市可持续发展中的应用，建筑建模和控制中的深度学习和LLM应用，建筑脱碳的LLM增强数据基础设施
Large Language Model (LLM) application for Decarbonization and Sustainability in Smart Buildings and Cities, deep learning and LLM application in building modeling and control, LLM-enhanced data infrastructure for building decarbonization

机器学习, 医疗数据异质性, 多模态对比学习, 时间序列表示学习, 嵌入式系统设计, 生物信号感知与分析, 可穿戴设备与数字健康, 临床结果, 实时健康监测系统, 心血管数字孪生
Machine learning, Medical data heterogeneity, Multimodal contrastive learning, Time-series representation learning, Embedded System Design, Biosignal sensing and analysis, Wearable and digital health, Clinical Outcome, Real-time Health Monitoring Systems, Cardiovascular Digital Twin

计算机视觉、自然语言处理、强化学习、深度学习、高性能计算
Computer vision, natural language processing, reinforcement learning, deep learning, high-performance computing

Physics-guided AI, LLM, ML Systems, Trustworthy AI
Physics-guided AI, LLM, ML Systems, Trustworthy AI

环境信息学、土壤学、遥感 Environmental Informatics, Soil Science, Remote Sensing

研究方向主要集中在移动和物联网安全、系统安全、软件安全等领域。具体研究包括移动无线网络漏洞、系统安全、软件安全、虚拟化、可信执行环境（TEE）、逆向工程、漏洞检测和二进制加固等。
Research areas mainly focus on Mobile and IoT Security, System Security, and Software Security. Specific research includes vulnerabilities in mobile wireless networks (e.g., 5G/6G), system security, software security, virtualization, Trusted Execution Environment (TEE), reverse engineering, vulnerability detection, and binary hardening.

基于数据驱动加速可持续与碳中和的新材料设计 ML/AI for Materials and Chemistry: Combining data science and machine learning with materials physics and surface chemistry to design materials and interfaces for decarbonization and sustainability (please check https://ubwp.buffalo.edu/jiayu-peng-lab/join-us/)

Data systems and algorithms (req: C++, CUDA, etc.), deep learning (req: PyTorch, etc.), check: https://bit.ly/danielYan

人机交互 (HRI), 增强现实 (AR), 人工智能 (AI), 人机交互 (HCI), 机器人技术
Human-Robot Interaction (HRI), Augmented Reality (AR), Artificial Intelligence (AI), Human-Computer Interaction (HCI), Robotics

机器视觉、人工智能、仪器开发
Machine Vision, Artificial Intelligence, Instrument Development

网络安全和移动计算与感知
Cybersecurity and Mobile Computing and Sensing

2D和3D计算机视觉，深度生成模型，小样本学习
2D and 3D Computer Vision, Deep Generative Models, Small-Data Learning

岩土工程、建筑材料、水泥材料、土壤稳定、计算机视觉、人工智能
Geotechnical Engineering, Construction Materials, Cement Materials, Soil Stabilization, Computer Vision, AI

函数即服务云计算，边缘计算应用于跨学科问题（包括生态预测）
Function-as-a-Service cloud computing, edge computing applied to interdisciplinary problems (including ecological forecasting)

虚拟现实/增强现实、安全性、应用人工智能
VR/AR, Security, Applied AI

大数据分析、管理和存储；高性能计算；分布式系统性能和可靠性优化
Big Data Analytics, Management, and Storage; High Performance Computing; Optimization of Distributed Systems Performance and Reliability

多相流体动力学，软物质物理，胶体和界面科学
Multiphase fluid dynamics, soft matter physics, colloid and interface science

移动感知、网络安全与隐私、人工智能、人机交互、混合现实
Mobile sensing, cybersecurity and privacy, AI, human-robot interaction, mixed reality

机器学习/深度强化学习, 物联网/车联网与6G, 智能电网/电动车
Machine Learning/Deep Reinforcement Learning, Internet of Things/Internet of Vehicles towards 6G, Smart Grid/Electric Vehicle

机器学习, 统计建模, 人工智能, 深度学习, 大型语言模型, 基础模型, 符合预测, 基因组学, 生物信息学, 金融科技
Machine Learning, Statistical Modeling, Artificial Intelligence, Deep Learning, Large Language Models, Foundation Models, Conformal Prediction, Genomics, Bioinformatics, Fintech

计算机视觉，机器学习，深度模型压缩，自动驾驶视觉
Computer Vision, Machine Learning, Deep Model Compression, Autonomous Driving Vision

可信机器学习和安全机器学习
Trustworthy ML and ML for Security

人工智能控制理论与算法、机器人控制、人工智能、先进AI控制算法的开发、智能机器人控制方法的设计、具身智能控制理论与方法的探索。
Control theory and algorithms in artificial intelligence, robot control, artificial intelligence, advanced AI control algorithm development, intelligent robot control method design, exploration of embodied intelligence control theory and methods.

结构振动控制、地震工程、冲击工程、多灾害韧性和可持续材料
Structural vibration control, earthquake engineering, impact engineering, multi-hazard resilience, sustainable materials

人工智能控制理论与算法、机器人控制、具身人工智能
Control theory and algorithms in artificial intelligence, robot control, embodied artificial intelligence

人工智能增强的人机协作，智能制造中的连接和自动化车辆，顺风车交通系统的优化
AI-Enhanced Human-Robot Collaboration for Smart Manufacturing, Connected and Automated Vehicles for Intelligent Transportation, Optimization of Rideshare Transportation Systems

基于传感器和机器学习的人机交互、基于人工智能的人机交互、数字化制造的自适应系统设计
Human Factors based on sensors and machine learning, Human-Computer Interaction based on artificial intelligence, Adaptive system design for digital manufacturing

未知
Unknown

机器学习，人工智能，决策制定，人机协同，网络
Machine learning, AI, decision-making, human-AI teaming, networking

数据驱动优化，随机/鲁棒优化，人工智能，面对不确定性的决策，在智慧城市运营，能源市场，自主移动和供应链方面的应用
Data-driven optimization, stochastic/robust optimization, artificial intelligence, decision-making under uncertainty with applications in smart city operations, energy market, autonomous mobility, and supply chain

实时机器学习、移动设备上的AGI（人工通用智能）优化、机器学习系统的并行计算和编译器优化
Real-time Machine Learning, AGI (artificial general intelligence) optimization on Mobile Devices, Parallel Computing and Compiler Optimizations for Machine Learning Systems

建立先进的统计模型和数据挖掘方法，针对先进的工程流程和系统，数据驱动的建模、分析、设计和控制制造/工程质量和过程。
Establishing advanced statistical models and data mining methods for advanced Engineering processes and systems, data-driven modeling, analysis, design, and control of manufacturing/Engineering quality and process.

ML系统，包括高效机器学习训练、LLM推理加速、LVM服务；网络系统，包括数据中心远程存储、分布式事务和共识，以及网络堆栈设计；概率数据结构和流算法
ML systems, including efficient machine learning training, LLM inference accelerations, LVM serving; networked systems, including datacenter far memory, distributed transactions and consensus, and networking stack designs; probabilistic data structures and streaming algorithms

多感知人工智能基础，增强人类体验，现实世界人工智能交互
Foundations of multisensory AI, Enhancing human experiences, Real-world human-AI interaction

人工智能安全与隐私保护、可信机器学习、大模型安全、人工智能在网络和CPS安全中的应用
AI Security & Privacy, Trustworthy Machine Learning, Secure Large Models, AI applications in network and CPS security

流体流动质量和热传递，反应堆热工水力学，复杂能源系统设计、建模和优化，多尺度多物理场耦合数值工具开发和验证
Fluid Flow Mass and Heat Transfer, Reactor Thermal Hydraulics, Design, Modeling and Optimization of Complex Energy Systems, Development and Validation of Multi-scale Multi-physics Numerical Tools for Energy System Analysis

移动计算，无线感知，可穿戴感知，人机交互，智慧医疗，人工智能物联网
Mobile Computing, Wireless Sensing, Wearable Sensing, Human Computer Interaction, Smart Health, AI for IoT

量子计算、量子机器学习、数据驱动优化建筑和城市能源系统实现脱碳、环境质量和控制
Quantum Computing, Quantum Machine Learning, Data-Driven Optimization for Decarbonization of Building and Urban Energy Systems, Environmental Quality and Control

计算机系统及硬件安全，包括CPU与GPU侧信道攻击，内存安全，可信执行环境，隐私保护，云计算安全，AI安全，处理器性能优化。
Computer Systems and Hardware Security, including CPU and GPU side-channel attacks, memory security, trusted execution environments, privacy protection, cloud computing security, AI security, processor performance optimization.

统计数据科学、生物统计、概率论、机器/深度学习、图论学习、语言模型、优化
Statistics Data Science, Biostatistics, Probability theory, Machine/Deep Learning, Graph theory learning, Language models, Optimization

MLSys（特别是LLMSys）和AI for Science（如蛋白质语言模型），MLSys中的算法-系统协同设计
MLSys (particularly LLMSys) and AI for Science (like protein language model), algorithm-system co-design in MLSys

AI for EPS (Earth and Planetary Science)

自然语言处理，机器学习，重点关注大语言模型的各个方面，提高模型的推理能力，增强模型在长文本任务上的鲁棒性（相关的下游任务如智能体和代码生成）
Natural Language Processing, Machine Learning, focusing on various aspects of large language models, improving model reasoning abilities, enhancing model robustness in long-text tasks (related downstream tasks such as intelligent agents and code generation)

Rett综合征干细胞模型中的表观遗传机制
Epigenetic mechanisms in stem cell models of Rett syndrome

教育统计学中的定量方法，多级建模，广义线性（混合）模型，单个案例实验设计（SCEDs）的高级统计方法，蒙特卡洛模拟，量表开发和验证
Quantitative Methods in Education (QME), multilevel modeling, generalized linear (mixed) models, advanced statistical methods for single-case experimental designs (SCEDs), Monte Carlo simulation, scale development and validation

统计学、生物统计学、统计数据科学、概率论、生物统计学、机器学习、深度学习、图论学习、语言模型、优化
Statistics, Biostatistics, Statistics Data Science, Probability theory, Biostatistics, Machine Learning, Deep Learning, Graph Theory, Language Models, Optimization

纳米材料设计，自组装，超材料，表界面分子结构原位表征以及生物纳米技术。
Nanomaterial design, self-assembly, metamaterials, in situ characterization of surface molecular structures, and biotechnology. The lab has characterization tools such as in situ electrochemical atomic force microscope and transmission electron microscope.

程光亮：1. 大语言-视觉模型相关研究及应用。2. 机器人感知和智能抓取。3. 图像/视频生成、鉴伪以及安全性等研究方向。4. 智能遥感和医疗方向。彭蓓：任何与强化学习相关的方向，包括单智能体强化学习，多智能体强化学习，和Human-in-the-loop强化学习。联合方向：计算机视觉+强化学习。
Dr. Guangliang Cheng: 1. Large-scale language-vision models and applications. 2. Robot perception and intelligent grasping. 3. Research on image/video generation, authentication, and security. 4. Intelligent remote sensing and medical directions. Dr. Bei Peng: Any direction related to reinforcement learning, including single-agent reinforcement learning, multi-agent reinforcement learning, and human-in-the-loop reinforcement learning. Joint direction: Computer vision + reinforcement learning.

热辐射，纳米光子学，能量转换，电子学，等离子体学，二维材料，数值设计，辐射制冷，太阳能加热，热光子学，等离子体光子学，光子介导热引擎，制冷器，电子和光子电路，辐射特性，增强辐射传热，光子化学势，光发射
Thermal radiation, nanophotonics, energy conversion, electronics, plasmonics, 2D materials, numerical design, Radiative cooling, solar heating, Thermal photonics, plasmonics, Photon-mediated heat engines, refrigerators, Electronic and photonic circuits, Radiative properties, Enhanced radiative heat transfer, Photon chemical potential, light emission

天线与微波传感（包括测向和成像）
Antennas and Microwave Sensing (including direction finding and imaging)

统计学、生物统计学、统计数据科学、机器学习、深度学习、图学习、语言模型、优化
Statistics, Biostatistics, Statistics Data Science, Machine Learning, Deep Learning, Graph Learning, Language Models, Optimization

量子信息
Quantum Information

机器学习系统（例如，LLM系统），传统系统（例如，网络系统，操作系统，分布式系统），系统安全
Machine Learning Systems (e.g., LLM systems), traditional systems (e.g., networked systems, OS, distributed systems), system security

定量相位显微技术、光学衍射层析成像、激光计量、干涉学、计算成像、生物医学应用
Quantitative phase microscopy, Optical diffraction tomography, Laser metrology, Interferometry, Computational imaging, Biomedical applications

量子多体理论、拓扑材料、范德瓦尔斯材料、光物质相互作用、非平衡性质、量子自旋电子学
Quantum many-body theory, topological materials, van der Waals materials, light-matter interaction, non-equilibrium properties, quantum spintronics

制造工程，机器人和自动化，人工智能
Manufacturing Engineering, Robotics and Automation, Artificial Intelligence

Privacy-preserving ML, Federated Learning, Game theory and Incentives (Data Economics)

生物生成的混合、说话引发的湍流、流体动力学、环境流体力学、湍流、实验流体力学
Biologically generated mixing, Speaking-generated turbulent puffs, Fluid dynamics, Environmental fluid mechanics, Turbulence, Experimental fluid mechanics

生物医学工程、生物学、声学与振动、微纳米加工、电气工程、机器人技术
Biomedical Engineering, Biology, Acoustics & Vibrations, Micro/nanofabrication, Electrical Engineering, Robotics

无线系统，机器学习，高速无线网络，AR/VR，物联网系统，毫米波，用于感知和环境感知的无线信号，应用机器学习，机器人学，自动驾驶车辆
Wireless systems, machine learning, high-speed wireless networks, AR/VR, IoT systems, millimeter-wave, wireless signals for sensing and perception, applied machine learning, robotics, autonomous vehicles

基因组生物信息学、基因组数据分析、软件开发、高性能计算（HPC）、基因组精准医学
Genomic bioinformatics, Genome data analysis, Software development, High-performance computing (HPC), Genomic precision medicine

无线通信，机器人技术，安全与隐私，电力网络，智能控制
Wireless communications, robotics, security & privacy, power grids, intelligent control

食品安全与加工，包括但不限于：(1) 噬菌体与病原细菌的共同演化机制；（2）抗菌产品开发及在食品中的应用；（3）功能性包装材料开发
Food safety and processing, including but not limited to: (1) Co-evolution mechanisms between bacteriophages and pathogenic bacteria; (2) Development of antibacterial products and their application in food; (3) Development of functional packaging materials

边缘智能，云边协同大模型，LLM网络，多媒体网络与系统，沉浸式视频流媒体，3D体积视频系统
Edge Intelligence, Cloud Edge Collaborative LLM, LLM for Net, Multimedia Networking and System, Immersive Video Streaming, 3D Volumetric Video System

CRISPR分子诊断技术, 微流控诊断芯片, 生物传感技术, 智能+互联医疗
CRISPR-based molecular diagnostics, microfluidic diagnostic chips, biosensors, Smart and connected healthcare

化学生物学、蛋白质组学、表观遗传学、人工智能和癌症生物学
Chemical biology, proteomics, epigenetics, artificial intelligence, cancer biology

理论计算机科学，算法，复杂性，博弈论，组合数学，图论，分布式计算，差分隐私，密码学，优化，量子计算
Theoretical Computer Science, algorithms, complexity, game theory, combinatorics, graph theory, distributed computing, differential privacy, cryptography, optimization, quantum computing

TIDE研究培训小组内有机和混合半导体的超快光谱学
Ultrafast optical spectroscopy of organic and hybrid semiconductors within the TIDE research training group

Continual learning, few-shot learning, semi-supervised learning, generative models, 3D geometry models, and medical imaging.

Optics+AI; Photonic Computing; Hardware/algorithm Co-Design; ML for EDA; AI for Physics;

研究方向包括未来网络系统（B5G/6G, O-RAN, AI-Native Networks），机器学习，网络系统的可信AI，自动驾驶和机器人，以及交通和农业的数字孪生
Research areas include future network systems (B5G/6G, O-RAN, AI-Native Networks), machine learning, trustworthy AI for network systems, autonomous driving and robots, digital twin for transportation and agriculture

医学图像，机器学习，人工智能，算法，优化，计算神经科学，图神经网络，Transformer网络，图像重建，医疗人工智能，多模态学习，数据挖掘
Medical Imaging, Machine Learning, Artificial Intelligence, Algorithms, Optimization, Computational Neuroscience, Graph Neural Networks, Transformer Networks, Image Reconstruction, AI for Healthcare, Multimodal Learning, Data Mining

病毒与细胞相互作用、细胞生物学、病毒学、微生物学、生物物理学、生物化学、免疫学、超分辨显微镜、生物数学
Virus-cell interaction, cell biology, virology, microbiology, biophysics, biochemistry, immunology, super-resolution microscopy, biomathematics

工程设计、计算力学、机器学习
Engineering Design, Computational Mechanics, Machine Learning

密码学，多方计算（MPC），简洁非交互式知识证明（SNARKs）
Cryptography, Multi-Party Computation (MPC), Succinct Non-interactive Arguments of Knowledge (SNARKs)

数据挖掘与机器学习、大数据、深度学习、人工智能、数据安全和决策支持，及其在商业、医疗诊断、软件工程等领域的应用
Data Mining and Machine Learning, Big Data, Deep Learning, Artificial Intelligence, Data Security, Decision Support, and their applications in fields such as business, medical diagnosis, and software engineering.

科学机器学习，深度学习，医疗人工智能，基于物理的机器学习
SciML (Scientific Machine Learning), Deep Learning, AI in Healthcare, Physics-Informed Machine Learning

计算化学，分子动力学模拟，数据挖掘，细胞研究，蛋白质研究，聚合物合成
Computational Chemistry, Molecular Dynamics Simulation, Data Mining, Cell Studies, Protein Studies, Polymer Synthesis

a. 物联网/CPS数据分析系统, b. 智能家居和建筑中的可持续计算
a. IoT/CPS Data Analysis Systems, b. Sustainable computing in smart homes and buildings

机器学习，统计学习在复杂医疗和工程系统中的应用。具体领域包括统计机器学习，数据融合，精准医学，人群健康。
Machine learning, Statistical Learning with applications in complex healthcare and engineering systems. Specific areas include Statistical machine learning, Data fusion, Precision medicine, Population health.

AI应用方向
AI applications

机器学习，人机交互，控制，机器人技术，网络物理系统，自动驾驶汽车
Machine Learning, Human-Robot Interaction (HRI), Controls, Robotics, Cyber-Physical Systems (CPS), Self-Driving Cars

量子计算、量子机器学习、电力系统、数据驱动优化建筑和城市能源系统实现脱碳、环境质量和控制
Quantum Computing, Quantum Machine Learning, Power Systems, Data-Driven Optimization of Building and Urban Energy Systems for Decarbonization, Environmental Quality and Control

可信人工智能，图/网络分析，人工智能安全，自然语言处理，数据挖掘，机器学习
Trustworthy AI, Graph/Network Analytics, AI Security, NLP, Data Mining, Machine Learning

移动边缘计算/智能；网络AI/机器学习；AI/机器学习系统
Mobile Edge Computing/Intelligence, AI/Machine Learning for networks, Systems for AI/Machine Learning

移动/可穿戴计算、移动健康、隐私计算、生物认证、人机交互系统
Mobile/Wearable Computing, Mobile Health, Privacy Computing, Biometrics and Authentication, Human-Computer Interaction System

课题组设计并制备新颖的纳米光子学器件来研究光与物质相互作用的新机制和原理，并探索其在纳米量子光子学、复杂混沌光子学、非厄米物理和量子传感等领域的应用。
The research group designs and fabricates novel nano-photonic devices to study new mechanisms and principles of light-matter interactions, exploring their applications in nano quantum photonics, complex chaotic photonics, non-Hermitian physics, and quantum sensing.

信息系统、运营管理、商业分析、医疗保健、机器学习、软件开发、移动计算、加密货币、社会问题
Information Systems, Operations Management, Business Analytics, Healthcare, Machine Learning, Software Development, Mobile Computing, Crypto-currencies, Social Problems

边缘人工智能动态模型压缩，边缘传感器低功耗深度神经网络
Dynamic Model Compression for Edge AI, Low-Power Deep Neural Networks for Edge Sensors

基因组生物信息学、基因组数据分析、软件开发、高性能计算（HPC）、转录组学、精准医学
Genomic bioinformatics, Genome data analysis, Software development, High-performance computing (HPC), Transcriptomics, Precision medicine

人工智能、深度学习、多智能体强化学习、分布式无人机群控制、组网、定位、环境感知
Artificial Intelligence, Deep Learning, Multi-Agent Reinforcement Learning, Distributed Drone Swarm Control, Networking, Localization, Environmental Perception

流体力学，包括壁面湍流，多相流，微流体等，专注于解决节能，水下探测和医疗器械领域的重要工程问题。
Fluid mechanics, including wall-bounded turbulence, multiphase flow, microfluidics, with focus on solving important engineering problems in energy savings, underwater detection, and medical device fields.

机器学习，数据科学，计算机视觉，自然语言处理，生物信息学，医学图像计算
Machine Learning, Data Science, Computer Vision, NLP, Bioinformatics, Medical Image Computing

机器学习，深度学习算法，模型压缩和加速，实时和节能深度学习与人工智能系统，计算机架构和异构计算（移动/GPU），移动计算，神经形态计算
Machine Learning, Deep Learning Algorithm, Model Compression and Acceleration, Real-time and Energy-efficient Deep Learning and Artificial Intelligence Systems, Computer Architecture and Heterogeneous Computing (Mobile/GPUs), Mobile Computing, Neuromorphic Computing

任务关键型的工业互联网和信息物理系统应用，Real-time industrial 5G，时序网络，无线传感器-执行器网络，自动驾驶系统
Mission-critical Cyber-Physical Systems, Real-time industrial 5G, Time-Sensitive Networking, Wireless Sensor-Actuator Networks, Autonomous Driving Systems

智能健康的机器学习，遥感的机器学习，联邦学习，自监督学习，边缘云计算，集成感知和通信，计算机视觉，语义通信，图学习，压缩感知，人工智能与遥感，人工智能与无线通信，人工智能与智能健康
Machine Learning for Smart Health, Machine Learning for Remote Sensing, Federated Learning, Self-supervised Learning, Edge-cloud computing, Integrated Sensing and Communication, Computer Vision, Semantic Communication, Graph Learning, Compressive Sensing, AI & Remote Sensing, AI & Wireless Communications, AI & Smart Health

程序和二进制分析，系统安全，形式验证
Program & binary analysis, system security, formal verification

拓扑数据分析（TDA）应用于计算机科学、机器学习、数据分析和可视化等领域
Topological Data Analysis (TDA) applied to computer science, machine learning, data analysis, and visualization

研究方向包括强化学习（RL）和多臂老虎机，联邦化/去中心化学习（用于基础模型），具有人类反馈的RL以及与大型语言模型（LLMs）对齐，以及下一代网络系统中的资源管理/优化（例如，无线网络，边缘/云计算系统等）
Research areas include reinforcement learning (RL) and multi-armed bandits, federated/decentralized learning (for foundation models), RL with human feedback and alignment with Large Language Models (LLMs), and resource management/optimization in Next-generation networked systems (e.g., wireless networks, edge/cloud computing systems, etc)

雷达信号处理，天线阵列处理，自动驾驶雷达机器学习，多模态传感器融合 (汽车雷达，激光雷达，摄像头)
Radar Signal Processing, Antenna Array Processing, Radar Machine Learning for Autonomous Driving, Multi-modal Sensor Fusion (Automotive radar, LiDAR, Camera)

多模态人工智能、自动驾驶、可信和高效机器学习等
Multimodal AI: Text-to-Image Generative Models, Image Editing, Finetuning/Personization, Image Restoration, Vision-Language Models, Image Quality Assessment, Video Quality Assessment; Autonomous Driving: Cooperative Perception, Driving Automation, Autonomous Driving Benchmark, 3DV in Driving Scenes, End2End Autonomous Driving System; Trustworthy and Efficient ML: Explainable AI, Fairness, Privacy-Preserving, Robustness, Copyright, Watermarking, Efficient MLSys, Efficient GenAI, Model Compression, Sparsity, Efficient Model Architecture

深度学习/机器学习算法，整合图像数据和组学数据（尤其是空间转录组和单细胞转录组），器官发育和病理学，基于foundation model（如ChatGPT，LLaMA）的算法开发与建模，对单/多模态生物数据的理解，细胞分化的动态定量模型构建。
Deep learning/machine learning algorithms, integration of imaging data and omics data (especially spatial transcriptomics and single-cell transcriptomics), organ development and pathology, algorithm development and modeling based on foundation models (such as ChatGPT, LLaMA), understanding of single/multi-modal biological data, construction of dynamic quantitative models of cell differentiation.

三维网站开发，对three.js, Babylon.js, react 3 fiber感兴趣
Three-dimensional website development with interests in three.js, Babylon.js, react 3 fiber

电力系统规划、智能电网安全、电力系统中的机器学习、电动车在电网中的应用
Power system planning, Smart grid security, Machine learning in power systems, Applications of electric vehicles in the grid

1. 机器学习方法(如神经网络)的安全性验证 2. 神经网络压缩方法的评价与改进 3. 数据驱动的建模与控制 4. LLM在控制系统中的应用 5. 各类与机器学习以及自动控制相关的研究
1. Security verification of machine learning methods (such as neural networks) 2. Evaluation and improvement of neural network compression methods 3. Data-driven modeling and control 4. Application of LLM in control systems 5. Research related to machine learning and automatic control

相机、无线电和激光雷达成像、三维场景完成和构建，信号和系统方面的深度学习应用
Deep learning applications in camera, radio, and lidar imaging, 3D scene completion and construction, signal and system

机器学习理论及应用 (统计学习理论和深度学习), 算法及组合优化, 社交网络分析
Machine Learning Theory and Applications (statistical learning theory and deep learning), Algorithms and Combinatorial Optimization, Social Network Analysis

量子计算，量子机器学习，电力系统，数据驱动优化建筑和城市能源系统实现脱碳，环境质量和控制
Quantum Computing, Quantum Machine Learning, Electricity Systems, Data-Driven Optimization of Building and Urban Energy Systems for Decarbonization, Environmental Quality and Control

不确定性量化、科学机器学习、风险与可靠性评估、灵敏度分析、贝叶斯推断、数据同化和模型验证应用于防灾减灾（地震、台风、火灾）、复合材料、航空航天、计算力学
Uncertainty Quantification, Scientific Machine Learning, Risk and Reliability Assessment, Sensitivity Analysis, Bayesian Inference, Data Assimilation, Model Verification applied in Disaster Prevention and Mitigation (earthquakes, typhoons, fires), Composite Materials, Aerospace, Computational Mechanics

计算机安全（程序分析、漏洞检测、恶意软件和网络攻击）和高性能计算（设计并行、分布式和GPU系统加速图神经网络和图算法）
Computer Security (program analysis, vulnerability detection, malware, and network attacks) and High-Performance Computing (design parallel, distributed, and GPU-accelerated systems for graph neural networks and graph algorithms)

多模态基础模型, 大型语言模型, 视觉-语言基础模型, 视觉-语言-动作基础模型, 计划、推理、组合性, 机械解释性, 知识+大型语言模型, 真实性、忠实性、可信度, 自然语言处理, 人工智能, 具身人工智能
Multimodal Foundation Models, Large Language Models, Vision-Language Foundation Models, Vision-Language-Action Foundation Models, Planning, Reasoning, Compositionality, Mechanistic Interpretability, Knowledge + LLMs, Factuality, Faithfulness, Trustworthiness, NLP, AI, Embodied AI

高性能计算，血液动力学性质模拟，流固耦合，多尺度多物理场模拟，基于物理方程的机器学习
High performance computing, Simulation of hemodynamic properties, Fluid-structure interaction, Multiscale multiphysics simulations, Physics-based machine learning

人工智能、多Agent系统、经济计算机科学（在人工智能和经济学接口的问题）
AI, Multi-agent Systems, EconCS (problems at the interface of AI and economics)

应用计算流体动力学控制SARS-CoV-2带载气溶胶的空气传播，开发人工智能辅助模型评估雾化器，开发动脉栓塞形成模型
Applying computational fluid dynamics to control airborne transmission of SARS-CoV-2 laden aerosols, developing AI-empowered surrogate models for evaluating inhalers, developing models to understand embolism formation in arteries

强化学习、机器学习、鲁棒学习与推理、统计信号处理
Reinforcement learning, machine learning, robust learning and inference, statistical signal processing

控制与建模：先进的基于模型/无模型的控制策略和多体动力学。基于物理学的仿真：利用计算机图形学、计算机视觉等基于物理原理的高保真仿真。人工智能与机器学习：在机器人领域进行强化学习、模仿学习、表征学习。
Control & Modeling: Advanced model-based/model-free control strategies and multibody dynamics. Physics-Based Simulation: High-fidelity simulations grounded in physical principles using computer graphics, computer vision etc. AI & Machine Learning: Reinforcement learning, imitation learning, representation learning in robotics.

深度学习，移动健康，可穿戴感测，语音和音频处理
Deep Learning, Mobile Health, Wearable Sensing, Speech and Audio Processing

强化学习，具身智能
Reinforcement Learning, Embodied AI

数字现实捕捉，建筑能源建模，智能建筑与传感
Digital Reality Capture, Building Energy Modeling, Smart Building & Sensing

人工智能、网络安全、分布式系统、云原生
AI, Cybersecurity, Distributed System, Cloud Natives

人工智能安全，可信人工智能，传感器安全，自动驾驶，物联网
AI Safety & Security, Trustworthy AI, Sensor Security, Autonomous Driving, Internet of Things

机器学习系统; 移动传感和移动计算; 物联网; 大型语言模型; 自主系统
Machine Learning Systems; Mobile Sensing and Mobile Computing; Internet of Things; Large Language Model; Autonomous Systems

机械一体化、传感与驱动机器人学、动力学、建模与控制、人机交互、机器学习应用于机器人、将物理学与机器学习相结合以增强机器人平台的控制质量和可靠性，减小物理系统与机器学习之间的差距
Integrated mechatronics, sensor and actuator robotics, dynamics, modeling and control, human-machine interaction, machine learning applied to robotics, blending physics with machine learning to enhance control quality and reliability of robot platforms, reducing the gap between physical systems and machine learning.

鲁棒机器学习，可解释机器学习，数据密集型科学机器学习，基于拓扑结构的鲁棒优化，测试时间适应性，基于原理的优化，可解释机器学习，多模态学习，缺失模态学习，视觉语言基础模型，扩散模型
Robust Machine Learning, Explainable Machine Learning, Data-intensive Scientific Machine Learning, Topology-informed Robust Optimization, Test-time Adaptation, Rationale-informed Optimization, Interpretable Machine Learning, Multimodal Learning, Missing Modality Learning, Vision-Language Foundation Models, Diffusion Models

计算机视觉（例如，注册，分割，分类，检测，合成，成像），多模态数据分析的机器学习（例如，图像，文本，组学），值得信赖和稳健的医疗人工智能（例如，可解释性，泛化性），数据高效的机器学习（例如，高效标注，半监督学习）
Computer Vision (e.g., registration, segmentation, classification, detection, synthesis, imaging), Machine Learning for Multi-Modal Data Analysis (e.g., image, text, omics), Trustworthy and Robust AI for Healthcare (e.g., explainability, generalizability), Data Efficient Machine Learning (e.g., efficient annotation, semi-supervised learning)

机器人控制
Robot control

边缘智能、分布式图学习、AI计算系统与应用、无线网络与安全、网络安全、量子网络与计算
Edge Intelligence, Distributed Graph Learning, AI Computing Systems and Applications, Wireless Network and Security, Network Security, Quantum Network and Computing

探索/学习/实现：探索新型深度学习架构 (效率和可伸缩性)、高效大模型训练、推理、微调和部署、深度学习网络的科学理解
Exploring/new deep learning architectures (efficiency and scalability), efficient large model training, inference, fine-tuning, and deployment, scientific understanding of deep learning networks

电子封测，封装可靠性评估，智能制造
Electronic Packaging and Testing, Packaging Reliability Assessment, Intelligent Manufacturing

高性能计算，资源管理和调度，性能建模和仿真，容错性，能源效率，并行和分布式系统，集群管理，互连网络，功耗和能效，计算机系统中的人工智能应用
High-performance computing (HPC), resource management and scheduling, performance modeling and simulation, fault tolerance, energy efficiency, parallel and distributed systems, cluster management, interconnection networking, power and energy efficiency, AI applications in computer systems

智能网络安全，系统安全，网络安全人工智能，可信人工智能
Network Security, System Security, AI for Cybersecurity, Trustworthy AI

高性能计算、深度学习系统、并行分布式系统、系统性能模型化
High-performance computing, deep learning systems, parallel and distributed systems, system performance modeling

人工智能/机器学习 (AI/ML)，生物信息学和计算生物学 (包括单细胞分析、多组学分析、空间转录组、癌症研究、智能健康和精准医疗)
Artificial Intelligence/Machine Learning (AI/ML), Bioinformatics and Computational Biology (including single cell analysis, multi-omics analysis, spatial transcriptomics, cancer research, intelligent healthcare, and precision medicine)

深度学习，深度学习的数学基础，深度学习理论，深度学习中的优化
Deep Learning, Mathematical Foundation of Deep Learning, Deep Learning theory, Optimization in Deep Learning

研究方向包括AI驱动的药物发现，小分子/蛋白质的全新设计及优化，分子识别，计算生物学，AI4Science等
Research areas include AI-driven drug discovery, novel design and optimization of small molecules/proteins, molecular recognition, computational biology, AI4Science, etc.

大数据，架构，高性能计算 (HPC)，人工智能 (AI) 系统，机器学习 (ML) 系统
Big Data, Architecture, High Performance Computing (HPC), Artificial Intelligence (AI) Systems, Machine Learning (ML) Systems

智能物联网系统、安全
Intelligent Internet of Things systems, security

AI应用于5G及更先进技术，物联网，网络安全，边缘计算
AI for 5G and beyond, Internet of Things (IoT), network security, and edge computing

边缘智能（例如，设备上的机器学习和物联网），可信人工智能（例如，安全性、隐私性和公平性）
Edge Intelligence (e.g., on-device machine learning and Internet of things), Trustworthy AI (e.g., security, privacy, and fairness)

生物医学光学成像仪器、视网膜成像、超广视场眼底摄影、功能性光学相干断层扫描（OCT）、OCT血管造影（OCTA）、超分辨率眼底镜、视网膜图像分析和分类
Biomedical Optical Instrumentation, Retinal Imaging, Ultra-wide field fundus photography, Functional Optical Coherence Tomography (OCT), OCT Angiography (OCTA), Super-resolution ophthalmoscopy, Retinal image analysis and classification

无老师线网络、感知、智慧农业、LoRa网络、农业数据分析
Wireless networking, sensing, smart agriculture, LoRa networks, agricultural data analytics

荧光材料合成、光学性质表征、分析和机理研究、荧光成像、金属有机框架（MOFs）、共价有机框架（COFs）、有机合成、LC-MS/MS仪器分析、全氟/多氟烷基化合物（PFAS）相关研究。
Fluorescent materials synthesis, optical properties characterization, analysis and mechanism studies, fluorescent imaging, Metal-Organic Frameworks (MOFs), Covalent Organic Frameworks (COFs), organic synthesis, LC-MS/MS instrumentation analysis, per- and polyfluoroalkyl substances (PFAS) related research.

研究涵盖了广泛的网络安全挑战，包括程序分析，漏洞检测，风险评估，物联网/移动安全，网络犯罪，威胁情报，系统安全，物联网安全和移动安全。
The research encompasses a broad spectrum of cybersecurity challenges, including program analysis, vulnerability detection, risk assessment, IoT/mobile security, cybercrime, threat intelligence, system security, IoT Security, and mobile security.

计算机安全，数据库安全，人工智能系统安全，隐私保护计算系统架构
Computer security, database security, AI system security, privacy-preserving computing system architecture

微流体（芯片实验室，器官芯片，声波流体学），声学（表面声波、体声波、医学超声），生物力学（生物医学器械，单细胞生物物理学）
Microfluidics (Lab on a Chip, Organ on a Chip, Acoustofluidics), Acoustics (Surface Acoustic Waves, Bulk Acoustic Waves, Medical Ultrasound), Biomechanics (Biomedical Devices, Single Cell Biophysics)

知识图谱, 多模态, LLM
Knowledge Graph, Multi-modal, LLM

AI/ML安全、机器学习安全与隐私、虚假信息/深度伪造测量与检测、Memes
AI/ML safety, Machine learning security and privacy, Disinformation/deepfake measurement and detection, Memes

深度神经网络和基础模型的值得信赖的模型压缩、可解释性、公平性和隐私性等理论和应用机器学习问题
Theoretical and applied machine learning problems focusing on trustworthy model compression, interpretability, fairness, and privacy for deep neural networks and foundation models

1. 解决随机决策和优化问题中的认知不确定性，通常源自训练数据不足。 2. 应用随机效用函数理论研究市场中消费者的购买偏好。研究集中在提升决策优化和机器学习的鲁棒性。
1. Addressing cognitive uncertainty in stochastic decision-making and optimization problems, typically arising from insufficient training data. 2. Applying stochastic utility function theory to study consumer purchasing preferences in the market. Research is focused on enhancing decision optimization and machine learning robustness.

医学成像（Covid胸透，皮肤癌，乳腺癌，前列腺癌），机器人视觉，小型高效ML模型和训练，嵌入式设备，饮食分析/食品计算，运动分析，遥感，机器人学，SLAM，异常检测，基础设施监测，制造机器健康，强化学习，交通路口分析，昆虫分类，显著性目标分割，视频目标分割
Medical imaging (Covid chest x-ray, skin cancer, breast cancer, prostate cancer), Robotic vision, Small and efficient ML models and training, Embedded device, Dietary analysis/food computing, Sports analytics, Remote sensing, Robotics, SLAM, Anomaly Detection, Infrastructure Monitoring, Manufacturing Machine Health, Reinforcement Learning, Traffic intersection analysis, Insects classification, Saliency object segmentation, Video object segmentation

无线网络，移动计算
Wireless Networks, Mobile Computing

自动驾驶、机器学习、深度学习、概率推理
Autonomous driving, machine learning, deep learning, probabilistic reasoning

医疗人工智能，图像分析系统，医学影像的计算机辅助分析，用于检测、诊断和预后的计算工具，高性能计算基础设施，医学图像分析
Medical AI, image analysis systems, computer-assisted analysis of medical images, computational tools for detection, diagnosis, and prognosis, high performance computational infrastructures, medical image analysis

机器人设计与控制，农业与自主系统的人工智能
Robot Design and Control, Artificial Intelligence in Agriculture and Autonomous Systems

数据挖掘，机器学习，优化，复杂多模态数据（例如时空数据，文本数据，图像数据，图数据），可解释和交互式人工智能，高性能机器学习
Data mining, machine learning, optimization, complex multi-modal data (e.g., spatiotemporal, textual, imagery, graph data), interpretable and interactive AI, high-performance machine learning

操作系统和网络，构建用于高性能计算的网络软件/硬件基础设施，包括AI加速器
OS & Networking, Building network software/hardware infrastructure for high-performance computing, including AI accelerator

语义通信，无线区块链，边缘智能，元宇宙
Semantic Communications, Wireless Blockchain, Edge Intelligence, Metaverse

基于多物理场的先进制造、设计、测量工艺设计
Multi-physics-based development of advanced manufacturing, design, and measurement processes

人工智能，数据科学，人工智能数学研究，深度学习，大数据系统，边缘计算
Artificial Intelligence, Data Science, Mathematical Studies on AI, Deep Learning, Big Data System, Edge Computing

研究方向包括但不限于无线感知，通信感知一体化，无线安全，跨协议通信和感知。
Research areas include but not limited to wireless sensing, communication-aware computing, wireless security, cross-protocol communication and sensing.

多功能石墨烯-金属复合材料和结构的增材制造，用于电子和电化学应用的二维材料的可扩展纳米制造，电子器件和能源相关器件的增材制造的喷墨印刷
Additive manufacturing of multifunctional graphene-metal composites and structures, scalable nanomanufacturing of 2D materials for electronic and electrochemical applications, inkjet printing for additive manufacturing of electronic devices and energy-related devices

环境工程、生物技术、合成生物学、塑料降解、废物转化利用、生物传感、分子生物学技术、蛋白工程、系统生物学、机器学习、人工智能
Environmental Engineering, Biotechnology, Synthetic biology, Plastic degradation, Waste-to-value biotransformation, Biosensing, Molecular biology techniques, Protein engineering, Systems biology, Machine learning, AI

优化算法，机器学习，医疗应用
Optimization, Machine Learning, Healthcare Applications

Reinforcement Learning, Bandits, Information Retrieval, Agents

机器学习加速计算、多灾种风险与韧性评估、AI辅助设计、维护、决策应用于大型结构与基础设施的计算模拟与设计决策
Machine learning accelerated computing, Multi-hazard risk and resilience assessment, AI-assisted design, maintenance, decision-making for large structures and infrastructure

研究方向包括移动机器人、自主系统、传感器融合、SLAM、状态估计、机器人探索
Research areas include mobile robotics, autonomous systems, sensor fusion, SLAM, state estimation, robot exploration

电力电子
Power Electronics

电力电子
Power Electronics

机器学习，自动驾驶，深度学习，概率推理
Machine Learning, Autonomous Driving, Deep Learning, Probabilistic Reasoning

图学习, 科学人工智能, 语言模型, 可信人工智能
Graph Learning, AI for Science, LLMs, Trustworthy AI

AI系统、无服务器计算、高性能计算、联邦学习、人工智能安全
AI System, Serverless Computing, High-Performance Computing, Federated Learning, AI Security

数据挖掘、强化学习、大语言模型
Data Mining, Reinforcement Learning, Large Language Models

人工智能安全、机器学习
AI Safety, Machine Learning

高性能计算，数据压缩，科学领域人工智能
High Performance Computing, Data Compression, Artificial Intelligence for Science

动力学、控制、优化、人工智能、数据驱动建模、大规模网络动态系统、不确定性、空中交通控制/管理、无人机交通管理、自主空中/地面车辆系统、计算最优控制、随机优化、深度学习、分布式控制/计算、安全自主系统
Dynamics, Control, Optimization, Artificial Intelligence, Data-driven modeling, Large-scale networked dynamical systems, Uncertainty, Air traffic control/management, UAS traffic management, Autonomous air/ground vehicle systems, Computational optimal control, Stochastic optimization, Deep learning, Distributed control/computing, Safe Autonomous Systems

可信机器智能, 计算机视觉/机器学习, 多模态学习, 生物医学人工智能
Trustworthy Machine Intelligence, Computer Vision/Machine Learning, Multi-Modal Learning, Biomedical AI

以数据为中心的人工智能、因果关联人工智能和时空数据挖掘
Data-Centric AI, Causality AI, Spatial-Temporal Data Mining

具有小分子和/或超分子合成经验，最好也具有电催化经验
Expertise in either molecular/supramolecular synthesis or electrocatalysis

Responsible and Reliable AI, Causal ML, Data Mining, LLMs

下一代无线通信、感知、定位及通感一体化技术、智能反射面通信、毫米波/太赫兹通信、AI赋能通信与组网
Next-generation wireless communication, sensing, positioning and integrated sensing technology, intelligent reconfigurable surface communication, millimeter wave/terahertz communication, AI-enabled communication and networking

组成数据分析、贝叶斯统计、变量选择、微生物分析、癌症和阿兹海默症
Compositional data analysis, Bayesian statistics, Variable selection, Microbiome analysis, Cancer and Alzheimer's disease

砌体结构，混凝土砌块墙，实验研究，有限元分析
Masonry structures, concrete block walls, experimental research, finite element analysis

创业学
Entrepreneurship

AI for social impact, differentiable optimization, online learning, multi-agent systems, public health

医学影像处理/分析，机器学习，神经科学
Medical Image Processing/Analysis, Machine Learning, Neuroscience

人工智能，空间组学，生物医学成像，癌症诊疗学，计算生物学，生物信息学，生物医学数据科学，生物医学工程，计算机科学，电气工程，统计学，数学，物理学，机器学习，生物医学成像，计算机视觉，单细胞分析技术，组织透明化，光片显微镜，免疫学，癌症系统生物学。
Artificial Intelligence, Spatial Omics, Biomedical Imaging, Cancer Theragnostics, Computational Biology, Bioinformatics, Biomedical Data Science, Biomedical Engineering, Computer Science, Electrical Engineering, Statistics, Mathematics, Physics, Machine Learning, Biomedical Imaging, Computer Vision, Single-cell Profiling Technologies, Tissue Clearing, Light-sheet Microscope, Immunology, Cancer Systems Biology.

计算智能、深度学习、AutoML、进化计算、学习、优化、自动化ML/DL算法和系统
Computational Intelligence, Deep Learning, AutoML, Evolutionary Computation, Learning, Optimization, Automated ML/DL algorithms and systems

1. 骨改建，牙槽骨重塑，牙颌畸形的修复与矫治相关基础研究。2. 颅颌面组织器官缺损修复与再生相关基础研究。3. 口腔疾病相关临床转化研究及应用。4. 同时欢迎交叉方向/背景的同学加入给实验室带来新的思想和技术。
1. Bone remodeling, alveolar bone reshaping, restoration and correction of maxillofacial deformities. 2. Basic research on repair and regeneration of craniomaxillofacial tissue organ defects. 3. Clinical translational research and applications related to oral diseases. 4. Cross-disciplinary students with new ideas and techniques are welcomed to join the lab.

1. 输电、配电和微电网中可再生能源建模和控制。 2. 电力系统建模、仿真、运行和控制的科学计算和软件工程。 3. 用于电力系统运行、稳定性和控制的机器学习。
1. Renewable energy modeling and control in transmission, distribution, and microgrids. 2. Scientific computing and software engineering for power systems modeling, simulation, operation, and control. 3. Machine learning for power system operation, stability, and control.

人类中心应用、AIoT和可穿戴安全、移动计算、人机交互以及利用可穿戴设备和AIoT进行医疗创新的前沿研究。
Cutting-edge research in human-centered applications, AIoT and wearable security, mobile computing, human-computer interaction, and healthcare innovations using wearables and AIoT.

人口动态与基础设施系统之间的耦合 - 交通电气化及对社区和企业韧性的影响 - 交通与人类流动网络的结构与功能动态 - 高效公平的多模式移动系统（带真实世界试点） - 交通/物流问题的基于学习的模型和算法
- The coupling between population dynamics and infrastructure systems - Transportation electrification and the impacts on community and business resilience - Structure and functional dynamics of transportation and human mobility networks - Efficient and equitable multi-modal mobility systems (with real-world pilots) - Learning-based models and algorithms for transportation/logistic problems

基因组生物信息学、基因组数据分析、软件开发、高性能计算、代谢组学、ME/CFS
Genomic bioinformatics, Genome data analysis, Software development, HPC, Metabolomics, ME/CFS

基础模型、可信AI、形式验证
Foundation Models, Trustworthy AI, Formal Verification

1) 生物工程方法对抗慢性疾病，如肥胖和其他代谢性疾病。2) 包括靶向药物递送和检测皮肤疾病、癌症等生物标志物的先进疗法技术。3) 开发数字分子分析技术，以提高诊断实践。4) 用于可穿戴或可植入生物医学应用的柔性器件。5) 纳米材料及其在生物传感、成像、疗法、催化等方面的应用。
1) Bioengineering approaches to combat chronic diseases such as obesity and other metabolic diseases. 2) Advanced theranostic technologies including targeted drug delivery and detection of biomarkers for skin disorders, cancers, etc. 3) Developing digital molecular analytical technologies for improved diagnosis practices. 4) Flexible devices for wearable or implantable biomedical applications. 5) Nanomaterials and their applications in biosensing, imaging, therapy, catalysis.

人工智能理论, AI for Science, 人工智能安全，自然语言处理，大数据处理
Theoretical Artificial Intelligence, AI for Science, AI Security, Natural Language Processing, Big Data Processing

可编程交换机（P4）启用的网络安全，零信任架构，网络威胁保护
Programmable switch (P4)-enabled network security, zero-trust architecture, cyber threat protection

并行图网络数据挖掘系统, GPU上的图挖掘, 数据挖掘
Parallel and Distributed Graph Mining, Graph Mining on GPUs, Data Mining

计算机视觉/多媒体, 文本生成动作, 音频生成, 人-场景交互, 动物/人类动作生成, 视频生成, 视频理解, 视觉关系理解, 文本处理
CV/MM, text2motion, audio generation, human-scene interaction, animal/human motion generation, video generation, video understanding, visual relation understanding, text processing

移动计算、可穿戴设备、物联网、环境智能、机器学习、传感器融合、计算感知、嵌入式系统、网络物理系统、无线通信、边缘计算、分布式系统、网络系统
Mobile Computing, Wearable Devices, Internet of Things (IoT), Ambient Intelligence, Machine Learning, Sensor Fusion, Computational Sensing, Embedded Systems, Cyber-physical Systems, Wireless Communication, Edge Computing, Distributed Systems, Network Systems

1. 陶瓷或复合材料加工和表征, 2. 机电系统开发和控制, 3. 制造工艺建模仿真
1. Ceramic or composite materials processing and characterization, 2. Mechatronic system development and control, 3. Manufacturing process modeling and simulation

虚拟现实、人机协作、增材制造、机器学习、控制、机器视觉
Robotics research applications in virtual reality, human-robot cooperation, additive manufacturing, machine learning, control, machine vision

生物信息学，计算生物学，统计学，机器学习，宏基因组学，转录组学，医疗人工智能
Bioinformatics, Computational Biology, Statistics, Machine Learning, Metagenomics, Transcriptomics, AI for Health

虚拟现实（VR）和混合现实（MR）中的人机交互（HCI）
Human-Computer Interaction (HCI) in Virtual Reality (VR) and Mixed Reality (MR)

开发先进的计算方法，用于创建高保真、快速运行的患者心脏和心血管医疗设备的数字孪生体。该项目还旨在通过软件/网络基础设施平台向公众提供这些方法。
Developing advanced computational methods for creating high-fidelity, fast-running digital twins of patient hearts and cardiovascular medical devices. The project also aims to make the methods publicly available through a software/cyberinfrastructure platform.

光学成像、生物医学光学、光学相干断层扫描（OCT）、光学相干弹性成像（OCE）、拉曼光谱成像
Optical imaging, biomedical optics, optical coherence tomography (OCT), optical coherence elastography (OCE), Raman spectroscopy imaging

产品设计，交互设计，可穿戴产品，定制化设计，参数化设计，3D扫描技术应用，通用设计，健康、医疗、和人体相关的产品，服务，与体验
Product design, Interaction design, Wearable products, Customized design, Parametric design, Application of 3D scanning technology, Universal design, Health, medical, and human-related products, services, and experiences