北京体育大学（清华联合培养）
Beijing Sport University & Tsinghua University

3.83/4.0
(top5%)

-

On the one hand, I have a strong interest in large language models (LLMs) and AI agents, with a particular focus on their applications in multimodal learning, embodied intelligence, and 3D computer vision. On the other hand, I have extensive practical experience in autonomous driving and generative AI, and I aim to further advance application-driven research in these areas. My goal is to develop AI systems that are safer, more reliable, and capable of efficient deployment in real-world scenarios.

LLMs, AI agents, autonomous driving and generative AI

2025 Fall

密西根大学，上海交通大学
University of MIchigan & SJTU

3.81/4
(-)

-

My research is driven by a deep curiosity to explore intelligence, mainly focusing on natural language processing (NLP) and multimodal learning. Currently, I am particularly interested in: Alignment between Modalities: Investigating methods to achieve precise alignment across different modalities, bridging the inherent differences in modality-specific feature spaces. Mechanistic Understanding of Models: Analyzing the internal workings of machine learning models to enhance their interpretability and reliability. Inference Time Learning: Exploring techniques like in-context learning, one-shot, and few-shot learning to understand and improve model performance across varied tasks.

My co-first-authored paper has been accepted at NeurIPS 2024. I’ll be attending the conference in person and look forward to connecting with others who share similar research interests.

2025 Fall PhD

清华大学
Tsinghua University

3.83/4.0
(-)

-

Generative model for image / video generation, especially Diffusion Models, Consistent Models, Flow matching; Machine Learning Theory.

One paper about enhancing diffusion model generation accepted by CVPR2024; One paper for Differential Privacy in NTK Regression accepted by WACV2025. One paper accepted by OPT Workshop at NeurIPS2024. Two paper under review at ICLR2025. One paper under review at AISTATS2025

2025Fall PhD, MSCS.

Tiangong University

3.7/4.0
(3/113)

University of Southern California

Robotics, Computer Vision

2nd author of 24'ISRR, 5th author of 24'IROS, 3rd author of 21'ICRA

2025 Spring/Fall PhD

武汉大学
Wuhan University

3.72/4.0
(7/88)

慕尼黑工业大学
Technical university of Munich

Navigation, GNSS/IMU/LiDAR-based localization, Sensor fusion, SLAM, Autonomous vehicle

My background is navigation and remote sensing in my Bachelor and Master's degree. I have publication on IEEE TIM, IEEE sensors journal as the first author. Besides, I have solid skills in Python, C++ and Matlab.

2025 Fall PhD, 2026 Spring PhD

Hangzhou City University

3.71
(-)

-

High-Performance Computing(HPC) Recommender System ML-Sys

2 Papers (TMLR+TKDD) under review, ASC24 award

2025 Fall PhD

北京邮电大学
-

84/100
(-)

-

ML, Compiler, System

2 Papers (ESWA+ICASSP) submitted. Intern at Microsoft & TuSimple.

202X PhD

香港中文大学
The Chinese University of Hong Kong

3.764/4.0
(5/150 Dept-wise; 11-313 School-wise)

苏黎世联邦理工学院
ETH Zurich

Multilingual NLP is my main research interests. I would like to interpret the cross-lingual transfer mechanism of sota LLM, evaluate the embedded multilingual/multicultural similarities and nuances, study the code switching, and implement LLM grounding from a multilingualism perspective to reduce the gap between capability and actual performance.

See https://scholar.google.com/citations?user=jPeyGn4AAAAJ&hl=en for publications; See https://yileitu.github.io/assets/pdf/CV.pdf for CV; See https://yileitu.github.io/assets/pdf/Transcript_Ranking_ETH_CUHK_UCB.pdf for transcripts. Rn RA at Waterloo. 4 NLP research projects. 2 industry internships.

2025 Fall PhD with full fund

杭州电子科技大学
Hangzhou Dianzi University

3.87/5.0
(-)

-

Graph Neural Networks, AI for Science, Large Language Models

I have extensive research experience in trustworthy machine learning and heterogeneous graphs, with several papers already published. Recently, I have also been working on AI-driven antibody design and large language models, with two papers currently under review.

2025 Fall PhD/RA

四川大学
Sichuan University

3.5/4.0
(-)

-

LLM，LLM reasoning，RL for LLM，LLM PEFT

ICLR 2025 (under review) International Collegiate Programming Contest(ACM-ICPC) Asia region Bronze medal

Remote Intern（NOW）

东莞理工学院
Dongguan University of Technology

3.0/5.0 (80/100)
(9/29)

华南理工大学
South China University of Technology

Multimodal Application/ Large Language Models / Sentiment Analysis

My research during my postgraduate studies is in the area of multimodal sentiment analysis, and I have published one NAACL24 Finding, and have 2 work in submission.I also have an LLM algorithm internship experience at the International Digital Economy Academy (Futian).

2025 Fall PhD

中国人民大学
Renmin University of China

3.56/4
(11/16)

-

Video Generation; RLHF; Diffusion Model; Talking Head;

Visiting student at HKUST supervised by Professor Qifeng Chen. 1 paper accepted by ICCV23, 1 paper under review by AAAI25, two projects undergoing.

25 Fall PhD

清华大学
Tsinghua University

3.88/4.0
(-)

-

Machine Learning system: pruning, kv-cache compression, etc to make models more democratic; machine learning

One paper about multi-agents accepted to ICLR2024, one paper about KV-cache compression under review of ICLR 2025; interned at THUNLP, CMU InifiniLab, MIT Hanlab

2025 Fall PhD, MSCS

上海电力大学
Shanghai University of Electric Power

3.37/4.0
(84.41/100)

南洋理工大学
Nanyang Technological University

In my previous research, I had detailed access to Signal Processing as well as Machine Learning. I have had publications for the field of Fault Diagnosis. In my future studies I would like to continue my research in the areas related to Signal Processing/Machine Learning/Deep Learning/AI Algorithms/Automatic Control.

The paper entitled “Bearing Fault Diagnosis Based on Improved Hybrid Kernel Extreme Learning Machine” has been accepted. During my bachelor's degree, I was awarded several scholarships and honored as the outstanding student of the university. In addition, I have more than one year of work experience in Electrical Engineering.

2025 Fall PhD/2026 Spring PhD

中山大学
Sun Yat-sen University

3.9/4.0
(-)

中山大学
Sun Yat-sen University

Multimodality (3D, 2D, text), LLM, Recommender systems

7 first/co-first author papers in top conferences (CVPR, WWW, ECCV, EMNLP, etc.). 2 Co-authored papers at ICCV, ICML. Internships at CCVL@JHU, Sea AI Lab. Extensive experience training LLMs (50B+ parameters) with DeepSpeed. Contributed 10,000+ lines of code to OneFlow's distributed DL framework.

2025 Fall PhD

北京科技大学
University of Science and Technology Beijing

3.46/4.0
(-)

清华大学
Tsinghua University

During Master Study: LLMs (weak-to-strong generalization), Agent; Expected Research Interests for PHD: AIDD, computational biology, Embodied AI, Robotics.

two (co-)first-authorised papers (ACL 2024 Findings, ICML 2024)

2025 Fall PHD; 2024 Fall Intern

北京师范大学-香港浸会大学联合国际学院
BNU-HKBU United International College

3.65/4.0
(Top 5%)

香港科技大学
The Hong Kong University of Science and Technology

Human-Computer Interaction (HCI), Human-AI Interaction, Educational Technology (EduTech). I aim to bridge the gap between users and AI technologies by developing AI-powered tools that enhance learning experiences, facilitate effective collaboration, and improve user engagement on digital platforms.

Currently an M. Phil. student (fully funded by Postgraduate Scholarship) at HKUST, supervised by Prof. Mingming FAN. I have 8 peer-reviewed conference paper / presentations (including VINCI, IEEE SMC, ICEB, etc.), 2 under review manuscripts submitted to CHI25, and 3 projects in progress.

2025Fall PhD opportunities

云南大学
Yunnan University

3.7/4.0
(1.0)

-

Astrophysics, accretion physics theory, supermassive Black hole (SMBH), fluid mechanics, 2-D Ising Model

A first author paper has been submitted to MNRAS related to Black hole accretion in 09/2024. Two astronomy-related study experiences in UCSB and Notre Dame.

2024Fall/2025 Spring/2025 Fall/2026 Spring/2026 Fall

浙江大学
Zhejiang Univeristy

3.77/4
(-)

-

diffusion models, multimodality representation learning/matching, and sparse models

B.Eng(Honors)@ZJU, Summer Research Intern@NUS, Intern@HPC-AI Tech, several papers submitted to NeurIPS and ICLR. I'm interested in doing impactful foundational science research in Machine Learning and Artificial Intelligence. 🔥Seeking for a PhD position where I can enjoy research!

2025 Spring/Fall PhD

Yanshan University

-
(6/186)

Chongqing University

Research field: Visual SLAM, Semantic segmentation, Robot The PhD research field plan: Robot swarm collaborative SLAM, Lightweight model target detection and improve the accuracy of mapping

1. 6 papers have been published/accepted 2. National scholarship for graduate student (2023, 1 time), School level scholarship of A(2 times)

2025 Fall Phd

吉林大学
Jilin University

3.85/4.00
(7/375)

-

Computer architecture , GPU, hardware security

one paper submitted to TPDS24

2025 Fall Phd

华中科技大学
Huazhong University of Science and Technology

3.83/4.0
(-)

-

AI/ML Theory, Signal Processing, Optimization, Wireless Communication, and open to other related areas.

✨Solid AI/ML related coding skill: participated in 3 projects with Intel as an undergrad, focusing on reinforcement learning algorithm design for 5G wireless communication. 💡Background in Optimization and Signal Processing: 2 related long-term research intern after graduation, authored 1 journal 3 conferences.🔥Highly motivated fast learner, enthusiastic about theoretical problems!

2025 Spring/Fall PhD, RA

四川大学
Sichuan University

3.76/4.0
(20/209)

-

Optimization, Signal Processing, Wireless Communications, Statistical Analysis, Deep Learning and other AI related areas.

First author SCI Q1 under review by Elsevier Signal Processing, 2 SCI Q1 in preparation. I have obtained multiple scholarships and have joined 2023 NUS summer workshop, led a innovative project. Besidse, I have already got 7.5(6.5) score in IELTS examination

2025 Fall Ph.D or MPhil with fellowship

Pulchowk Campus, Tribhuvan University

77.4/100
(Top 10% of class)

-

Multimodal learning, selfsupervised learning, vision language models. I am interested in applications of the above areas of research in general as well as medical imaging domain.

Bachelor's degree in computer engineering. Currently working as research assistant at NAAMII, the leading research institute of Nepal. 2 major conference publications on vision-language models and medical image segmentation (MIDL'24 oral, MICCAI'24). 1 journal publication.

2025 Spring/Fall PhD, Masters

江南大学
jiangnan university

81.33/100
(-)

浙江大学
Zhejiang University

reinforcement learning ,evolutionary algorithms ，llm

soft sensor，model predict control，process control

2025Fall Phd

浙江大学
Zhejiang University

3.94/4.0
(-)

-

Generative models especially diffusion models, focusing on customization and editing before. MLLM

First-author paper FreeCompose(https://arxiv.org/abs/2407.04947) accepted by ECCV2024. Participations in other two works under review. Two Chinese patents under review. Development of one widely-used mobile app in college. Following Chunhua Shen from 2023, remote internship with Tong Zhang from 2024

2025 Fall PhD, MPhil.

山东大学
Shandong University

89.22/100
(2/10)

东南大学
Southeast University

Cyber-Physical Systems, Data Science and Artificial Intelligence Research Fields: Finding meaning patterns from large-scale data based on data-driven modeling, and designing useful spatio-temporal algorithms to address some real-world societal challenges.

Published two research papers during my master’s studies, including one as the first author at CIKM. Currently have two papers (TKDE and IOT) under review. Completed a data mining internship at ByteDance.

2025 Spring/Fall PhD

Beijing City University

3.6/4.0
(2/63)

North China Electric Power University

Transfer Learning; Domain Adaptation; Explainable AI; AI in Medicine; LLMs

Publication in domain adaptation, explainable AI and AI in medicine; LLMs internship; Awards: First Prize Scholarship, Outstanding Graduate, National Excellent Award in Blue Bridge Cup Programming Contest; Desire to conduct long-term and in-depth research in a direction.

2025 Spring/Fall PhD

西北农林科技大学
Northwest A&F University

3.53/4.0
(15/159)

新加坡国立大学
-

Strong interest in Data Analysis, Optimization Control, Supply Chian Management

Hold degrees in three degrees in finance, applied statistics and supply chain management, specialising in data analysis and mathematical modelling. Participated in several research projects and published a paper about green economy, good at communicating and cooperating with the team, mainly responsible for data analysis in the teams.

2025 Spring/Fall PhD, RA

西交利物浦大学
Xi’an Jiaotong-Liverpool University

3.67
(0.2)

-

I am strongly Interested in medical image analysis and computer vision.

1st author BIBM24x1, some accepted and under review papers, all around the direction of medical image analysis. I have been actively searching for the right mentor and project as I am very eager to continue my studies in this field. I really want to use advanced model architecture to solve the problems in clinical diagnosis.

2025 Fall PhD/RA, MPhil

香港中文大学（深圳）
The Chinese University of Hong Kong, Shenzhen

3.82/4.0
(-)

-

I am familiar with software testing and graph data mining (published papers on top conferences as the first author); I am highly interested in combing novel algorithm with practical application, especially for AI/LLM related field.

ICPC World Final List

2025 Fall PhD

西安交通大学
Xi'an Jiaotong University

-
(top10)

Johns Hopkins University

Networking and Network systems, Distributed systems, Storage systems, Datacenter, Video, MLsys and etc.

I am a Master's student in Computer Science at Johns Hopkins University, has extensive research experience in systems especially in network systems. Currently, I am a research assistant at HKUST, working on video streaming and network systems. I have interned on research projects at prestigious institutions such as UC Berkeley and the University of Michigan, and I have conducted significant research at Nanjing University. My work has been published in USENIX NSDI, and I have presented at major conferences. My background includes a Bachelor's degree from Xi'an Jiaotong University and multiple international study experiences.

2025 Spring/Fall PhD

Hunan University

3.19
(-)

University of Edinburgh - Artificial Intelligence

Large Language Model & application. Natural Language Processing(e.g. Dialogue system, question answering, LLM-based things(like agent) etc.) & its applications in Education and Marketing(Advertising).

Proficient in programming. Served as an algorithm engineer for 7 years at leading Chinese internet companies. Possess 4 years of experience in marketing, advertising, and user growth.

2025 Spring/Fall PhD

詹姆斯库克大学/北京信息科技大学
James Cook University/Beijing Information Science and Technology University

6.27/7; 3.50/4
(5%; 5%)

澳洲国立大学
Australian National University

I am Interested in machine learning, computer vision, generative model, AI application in healthcare, 3D vision, Internet of Things, diffusion Models, generative adversarial Networks, LLMs, multimodal Learning, robotics.

[CVPRW] https://openaccess.thecvf.com/content/CVPR2024W/L3D-IVU/html/Han_Latent-based_Diffusion_Model_for_Long-tailed_Recognition_CVPRW_2024_paper.html; Excellent Academic Scholarship; 3 computer vision projects; 1 robotic vision internship.

2025 Fall PhD

武汉大学
Wuhan University

3.42/40
(top 20%)

-

1. DL and ML, including theory and application. 2. Optimization, including Numerical Optimization and Combinatorial Optimization. 3. Applied/Computational Mathematics

I majored in computational math, so I have a good foundation in math. I have also participated in several mathematical modeling competitions and received good rankings, and I also have a solid foundation in programming. More details are in my cv

2025 Fall PhD or 2025 Fall MPhil, RA

华中农业大学
Huazhong Agricultural University

3.78/4.0
(4/92)

天津大学
Tianjin University

Multimodal, LLM, Machine Learning, Robotics, Embodied AI, etc.

Several publications and projects.

2025 Spring/Fall PhD

中山大学
Sun yat-sen University

3.9/4.0
(-)

Brandeis University

My passion lies at the intersection of computer science and social science. I’m particularly interested in: 1.Data Visualization 2. Image Analysis 3.Human-Computer Interaction

Have multiple experience in data visualization, image analysis and computational social science

2025 Spring/Fall PhD

武汉大学
Wuhan University

3.52/4.0
(-)

哥伦比亚大学
Columbia University

Field related to Statistics, Applied Math(eg: Computational Neurscience, Signal Processing, Time series analysis etc.), AI (eg: InterpretableML, ), Economics(Macro&Econometrics) etc.

Research experience in Behavioral Factor Modeling on commodity market, credit insurance mechanisms. Projects in Bayesian Inference, Applied ML models on real data and Time Series Analysis. Background in Econ & Applied Math & Statistics

2025 Spring/fall PhD

海南大学
Hainan University

-
(-)

-

My current research interests lie in Natural Language Processing, Vision & Language, Large Language Model.

Intern at OpenMMLab, Shanghai Artificial Intelligence Laboratory, National Prize in CRAIC2023.

2025 Fall PhD, MPhil.

华中科技大学
Huazhong University of Science and Technology

3.82/4.00
(-)

-

My research interests focus on trustworthy AI, particularly in the areas of uncertainty estimation and adversarial robustness.

1st author: ACL 23, Arxiv 24 under review

25 Fall PhD

天津大学
Tianjin University

3.52/4.0, 87.67/100
(7/33)

-

Multimodal Learning, Vision Language Models, Trustworthy Machine Learning

Predictive Dynamic Fusion (Accepted to ICML2024), one paper submitted to NeurIPS 2024, internships in UNC CH & Purdue

2025 Fall PhD

Fujian Agriculture and Forestry University

3.2/4
(-)

Fuzhou University

My research interests focus on network security, protocol security, web security, and LLM for Security. I'm particularly interested in discovering and mitigating new security vulnerabilities in widely-used Internet protocols and systems, such as HTTP protocol, and CDN system.

publications in Usenix Security 2024 as first author. one paper submitted to NDSS 24 as first author. Previously working as RA at THU, currently working as RA at SMU.

2025 Fall PhD

南方科技大学
Southern University of Science and Technology

3.80/4.00
(4/35)

-

Any area related to machine learning and deep learning, especially for: LLM, GNN, Graph Reasoning, Data Augmentation, Data Mining, Time series analysis, AI4Medicine, AI4Finance

One paper was submitted to Nips2024 as the first author. Several RA experiences related to Graph Learning, LLM and DeepLearning. One internship related to LLM data engineering. High GPA(3.8/4), several provincial and national awards(1st in SUSTech scholarship) Really strong learning ability & research passion~

2025 Fall PhD/Mphil

武汉大学
Wuhan University

3.68/4.0
(1/21)

清华大学
Tsinghua University

AI-related research, information retrieval, recommendation system, or some novel techs I'd like to have a try (e.g. meta-universe)

good education background, top CS conference publication, rich work and intern experience as a research/software engineer

2025 Spring/Fall PhD

华中科技大学
Huazhong University of Science and Technology

-
(second year: 90.8/100 (2nd); third year: 89.5/100 (2nd); fourth year: 86.9/100 (2nd))

上海交通大学
Shanghai Jiao Tong University

I aspire to conduct AI-related research and attend top CS conferences. I've read extensively about AI and am open to exploring diverse fields. My goal is to build professional research capabilities in AI, become an active AI community member, and focus on rapidly evolving areas that can make a significant impact.

Research experience in AI, engineering, and medicine; High GPA (2nd in grade/class); Publication in the best journal in computational modeling (5-year IF10+); Numerous awards at the university level; Persistent learner.

2024/2025 Spring/Fall PhD, RA

北京大学
Peking University

3.6/4.0
(0.4)

-

3d-vision, nerual rendering/simulation in CG, digital human

one paper submitted to NIPS24 as first author. currently working as RA at TUM

25Fall PhD, MPhil

南京理工大学
NanJing University of Science and Technology

3.43/4
(-)

-

multimodal models, foundation models,3D CV, few-shot learning,adversarial attack & defence

1 paper first author in ECAI2024, 1 paper in PRCV2024, 1.5years research experience in school's lab, rich knowledge in 3D CV, designed dynamic multimodal prompt tuning for foundation models

2025 Spring/Fall Ph.D /MPhil

University of Illinois Urbana-Champaign

3.96/4.00
(-)

-

computationally characterize and model human learning and reasoning by asking what does it take to build/reverse engineer a cognitive system that learns and reasons like a human

Published in TMLR. Neurips in submission. Summer intern with Pat Langley and Christopher MacLellan.

2025/2026 Fall PhD; 2025 RA

长春理工大学
Changchun University of Science and Technology

87/100
(-)

阿尔托大学
Aalto University

Computational imaging with machine learning; Software-hardware co-design for imaging system.

I am a Master's student in Electronics and Nanotechnology (major) and Machine Learning (minor), supported by a Finland Government Scholarship. My research experience mainly includes computational imaging system design and diffractive optical element design, with several publications.

2025 Spring/Fall PhD

浙江大学
Zhejiang University

90.3/100
(-)

-

Speech and NLP tasks related to Linguistics

2023 - Now, Remote Internship at MIT-IBM Watson AI Lab in Prof. Chuang Gan's group. We have a paper on AIGC under submission to NeurIPS, and I mainly worked on the TTS subsystem.

2025 Fall PhD, MPhil

Zhejiang University

3.7/4
(-)

-

Mechanisms of LLM (basically I try to find, interpret, and sometimes fix features/issues in llms e.g. attention outliers, ICL)

Pubs: ICML*1 Others: 3 papers under review

26Fall PhD / 2025 RA

电子科技大学
University of Electronic Science and Technology of China

3.58/4.0
(-)

-

system & software security, binary analysis, software analysis, and static analysis

Pub: Accurate and Efficient Code Matching Across Android Application Versions against Obfuscation(SANER2024)

2025 Fall Phd

Carnegie Mellon University

-
(-)

-

Computational Social Science: Disinformation/Misinformation, Content moderation, Social media, Social simulation, AI persona NLP: LLM for social good, LLM for education, LLM Agent, Text Style transfer Human Computation Interaction: User experience for LLMs,LLM for education

published in ACL,COLING,ArabicNLP. Previously interned at SUTD

2025/2026 Fall

中国科学院大学
University of Chinese Academy of Sciences(top 3 in China)

3.77/3.0
(24/70)

-

any deep learning related areas

-

2025 Fall MPhili or PhD

广州大学
Guangzhou University

3.36/5.0
(Unknown（Waive for graduate entrance exam）)

广州大学
Guangzhou University

AI for Science(especially healthcare, biomedicine, fininace), Fairness or Bias(Medical model), LLMs(agents), Multimodal, Data Mining(sequence), automatic system

IELTS 6.5. Published 4 papers (IF 36), first author in top journal; 3 patents as first inventor. Received 7 scholarships, 3 honors, 4 national prizes. Led 3 AI projects; visited University of Washington. Technology startup generated RMB 120,000. Committed to innovation and excellence.

2025 Spring/Fall PhD

Tsinghua University

-
(-)

-

diffusion model, 3D Vision, Robotics

-

2025 Spring/Fall PhD, RA

上海海事大学
Shanghai Maritime University

3.85/4.0
(1/109)

中科院计算技术研究所
Institute of Computing Technology, Chinese Academy of Sciences

1. Alignment, Complex Reasoning, Superalignment and Evaluation in LLMs. 2. Multi-modal Large Models. 3. LLM and VLM for robotics (Vision-Language-Action models).

Internship in both industry and academe. Collaborate with diverse students and researchers. Citation 80+.

2025 Fall PhD

南京邮电大学
Nanjing University of Posts and Telecommunications

93.1/100
(3/63)

西北工业大学
Northwestern Polytechnical University

Explainable AI (NeurIPS 2023), LLMs, Causality, Medical AI (MedIA 2022), Data mining (AAAI 2023, ICME 2023)

High GPA and National Scholarships in 2018 and 2022. High-quality publications in NeurIPS 2023, AAAI 2023, MedIA 2022. Research experience in multi-modal learning, sequence learning, and feature selection. Currently working on LLMs and causal discovery.

2025 Spring/Fall PhD

山东大学
Shandong University

93.46/100
(2/182)

-

Current research interests focus on NLP, including (1) Retrieval-augmented generation, (2) Knowledge discovery, (3) Tool learning with foundation models, and (4) LLM-based agents. Besides, I am highly enthusiastic about embracing new and diverse research avenues and am keen to pursue further PhD education in other related fields.

Publications: Several first-author papers published in AI and NLP conferences such as ACL, EMNLP, and AAAI Internships: Long-term internship at Baidu Inc. with Baidu’s Search Science Team, maintaining close collaboration with team members Selected Scholarships: National Scholarship; Dean’s Scholarship; Presidential Scholarship; Excellent Graduate Award; Academic Scholarships More details: https://shizhl.top/

2025 Spring/Fall PhD, RA; 2026 Phd

Guangdong University of Technology

-
(-)

Syracuse University

CXL memory disaggregation, SSD & Storage system, OS kernel bypass and I/O stack, RAG, MLOps/AIOps, Distributed System, Model Driven Engineering

Ex-eBay Core AI Engineering, RAG at BankOfAmerica, Kernel ByPass with Ultra-low latency SSD, CXL RAM disaggregation & in-storage computing. Overwhelming programming skills (17+ years) in various programming languages and ML frameworks and strong at paper reproductions, publishing book for developers, interdisciplinary understanding, persistent learner

Fall 2025 PhD