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PROFESSORS IN FEDERATED LEARNING

Showing page 1 of 1 — 18 professors available publicly

Tian Li

Distributed Optimization Federated Learning Trustworthy Machine Learning

Tian Li is an Assistant Professor of computer science. Her research centers around distributed optimization, federated learning, and trustworthy ML. She is interested in designing, analyzing, and evaluating principled learning algorithms, taking into account practical constraints...

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Sewoong Oh

differential privacy secure machine learning robust machine learning

Sewoong Oh is a Professor at the Paul G. Allen School of Computer Science & Engineering at the University of Washington. Previous to joining University of Washington in 2019, he was at the department of Industrial and Enterprise Systems Engineering at University of Illinois at Ur...

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M. Hadi Amini

Distributed Machine Learning Federated Learning Interdependent Networks

M. Hadi Amini is an Associate Professor at the Knight Foundation School of Computing and Information Sciences at FIU. He is the founding director of Sustainability, Optimization, and Learning for InterDependent networks laboratory (www.solidlab.network). He received his Ph.D. in ...

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Feng Yan

Large Language Model (LLM) Machine Learning as a Service (MLaaS) Federated Learning

J Dr. Feng Yan is the director of the Intelligent Data and Systems Lab (IDS Lab) and Associate Professor of Computer Science at University of Houston (UH). He is Presidential Frontier Faculty (PFF) and is also affiliated with Electrical and Computer Engineering at UH. Dr. Yan’s...

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Eugene Belilovsky

Distributed Learning Continual Learning Federated Learning

Dr. Eugene Belilovsky is an Assistant Professor in the Department of Computer Science and Software Engineering at Concordia University and a Core Academic Member of Mila (Quebec AI Institute). He holds a Canada CIFAR AI Chair and is a recipient of the FRQNT New Scholar award. Dr....

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Mohammad Mohammadi Amiri

Large Language Models Data Valuation Federated Learning

Dr. Amiri was appointed an Assistant Professor in the Department of Computer Science at RPI in Fall 2023. His research is mainly dedicated to advancing artificial intelligence through the strategic use of data. In today's rapidly evolving technological landscape, the ability to h...

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Yu Tian

Trustworthy Artificial Intelligence (AI) Anomaly Detection Out-of-Distribution Detection Fairness Learning

Yu Tian is an assistant professor at the UCF Department of Computer Science, with a joint appointment in the Department of Clinical Sciences at the College of Medicine. He is also affiliated with the UCF Artificial Intelligence Initiative and directs the AI & Imaging in Medicine ...

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Nghia Hoang

Federated Learning Bayesian Methods for Big Data Neural Networks

Education: B.Sc. in University of Science (Vietnam), 2009 Ph.D. in Computer Science, National University of Singapore (Singapore), 2015 – PhD Thesis Work Experience: 2015 - 2017: Research Fellow, National University of Singapore (NUS), Singapore 2017 - 2018: Postdoctoral...

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Xiaonan Liu

Edge AI Multimodal Learning Integrated Sensing

I'm a Lecturer (Assistant Professor) in the Computer Science Department at the University of Aberdeen. My research focuses on Edge AI, machine learning, multimodal learning, Integrated Sensing, Communication, and Computation, Federated Learning, and Task-oriented Communications. ...

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Xueru Zhang

Trustworthy Machine Learning Strategic Classification Out-of-Distribution Generalization

I am an Assistant Professor in the Department of Computer Science and Engineering (CSE) at the Ohio State University. My research focuses on the societal aspects of machine learning and algorithmic decision-making. I aim to understand the societal implications of machine learning...

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Bikash Chandra Singh

Cybersecurity & Secure AI (CySAI) Local Differential Privacy Privacy-Aware Large Language Models (LLMs)

Dr. Bikash Chandra Singh is an Assistant Professor and leads the Cybersecurity & Secure AI (CySAI) Lab in the Department of Computer Science at California State University, Fresno. Before joining Fresno State, he served as a Research Assistant Professor in the School of Cybersecu...

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Zijie Zhang

federated learning graph neural networks trustworthy machine learning

Zijie Zhang, Ph.D. is an Assistant Professor of Computer Science at The University of Texas at San Antonio in the College of AI, Cyber and Computing. He earned his Ph.D. in Computer Science from Auburn University and an M.S. in Computer Science from Stevens Institute of Technolog...

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Dr. Mansi Bhavsar

Federated Learning Intrusion Detection Systems (IDS) Autonomous Vehicles (AVs) Security

Dr. Mansi Bhavsar is an Assistant Professor in the Department of Computer Information Science at Minnesota State University, Mankato, whose research focuses on the intersection of Artificial Intelligence (AI), the Internet of Things (IoT), and Federated Learning. Her work is prim...

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Fei Dou

Federated Learning Reinforcement Learning Self-Supervised Learning

Fei Dou is an Assistant Professor in the School of Computing at the University of Georgia. She obtained her Ph.D. in 2023 from the Department of Computer Science and Engineering at the University of Connecticut, where she worked in the Laboratory of Machine Learning & Health Info...

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Chong Yu

Federated Learning Edge Computing Networked Intelligent Systems

Chong Yu is an Assistant Professor in the Department of Computer Science at the University of Cincinnati. He earned his Ph.D. in Electrical and Computer Engineering from the University of Nebraska–Lincoln and also holds a Ph.D. in Computer Science with a specialization in Compu...

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Khandaker Mamun Ahmed

Computer Vision Federated Learning Cybersecurity

Dr. Khandaker Mamun Ahmed is an assistant professor in The Beacom College of Computer & Cyber Sciences. He teaches undergraduate and graduate-level courses in artificial intelligence, algorithms, and data structures. In addition to teaching, Ahmed is passionate about research,...

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Md Tamjid Hossain

Adversarial Machine Learning Federated Learning Reinforcement Learning

Md Tamjid Hossain is a privacy and security expert currently serving as an Assistant Professor (Tenure-track) of Computer Science and Cybersecurity and the director of CiPH3R-Lab (https://ciph3rlab.github.io/) at Texas A&M University-San Antonio (A&M-SA). His research interests i...

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Emily (Shuya) Feng

Privacy-Preserving Machine Learning Differential Privacy Large Language Model Security

Emily (Shuya) Feng is an Assistant Professor in the Department of Computer Science at the University of Alabama at Birmingham, starting in August 2025. Dr. Feng's research addresses fundamental challenges in AI security and privacy, encompassing privacy-preserving machine lea...

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