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PROFESSORS IN TRUSTWORTHY MACHINE LEARNING

Showing page 1 of 1 — 12 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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Furong Huang

trustworthy machine learning sequential decision-making high-dimensional statistics

Furong Huang is an Associate Professor in the Department of Computer Science at the University of Maryland. Specializing in trustworthy machine learning, AI for sequential decision-making, and high-dimensional statistics, Dr. Huang focuses on applying theoretical principles to so...

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Chandan Reddy

Generative AI Trustworthy Machine Learning Explainable AI

Chandan Reddy is a Professor in the Department of Computer Science at Virginia Tech. He received his Ph.D. from Cornell University and M.S. from Michigan State University. His primary research interests are Generative AI and Trustworthy Machine Learning, aimed at creating robust,...

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Feng Chen

AI Safety Trustworthy Machine Learning Resilient AI Systems

Feng Chen is an Associate Professor in the Department of Computer Science at The University of Texas at Dallas and Director of the AI Safety Laboratory. His research focuses on AI safety and trustworthy machine learning, including resilient AI systems that handle uncertainty, fai...

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Yang Zhou

Trustworthy Machine Learning Parallel Distributed

I am an Associate Professor in the Department of Computer Science and Software Engineering at the Auburn University. Prior to that, I received my Ph.D. degree in the College of Computing at the Georgia Institute of Technology. My current research interests lie in several rease...

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Birhanu Eshete

Trustworthy Machine Learning Adversarial Machine Learning Privacy-Motivated Inference Attacks

I am an Associate Professor in the Department of Computer and Information Science at the University of Michigan, Dearborn, where I lead the Data-Driven Security & Privacy Lab (DSPLab). I am also a faculty affiliate at the Michigan Institute for Data Science (MIDAS) at the Univers...

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Alex Gittens

Tensor Factorization Trustworthy Machine Learning Randomized Numerical Linear Algebra

I am an associate professor of computer science at Rensselaer Polytechnic Institute. My research focuses on designing algorithms with provable performance guarantees, with an emphasis on tensor factorization, trustworthy machine learning, and randomized numerical linear algebra f...

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Mengdi Huai

trustworthy machine learning explainable AI robust machine learning

I am currently an assistant professor in the Department of Computer Science at Iowa State University. I obtained my Ph.D. in Computer Science from the University of Virginia, where I was supervised by Prof. Aidong Zhang. My research interests are in the general areas of machine l...

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Ahmad Patooghy

Cyber-Physical Systems Security Trustworthy Machine Learning IoT Security

Dr. Ahmad Patooghy is an Associate Professor in the Department of Computer Systems Technology at North Carolina A&T State University. He earned his Ph.D. in Computer Engineering from Sharif University of Technology, and his research focuses on cybersecurity and resilient computin...

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Thang Hoang

Zero-Knowledge Proof Fuzzy Cryptography Trustworthy Machine Learning

am an Assistant Professor in the department of Computer Science @ Virginia Tech and a CCI Researcher. Prior to joining VT, I was a Postdoctoral Fellow @ Carnegie Mellon University (CMU) hosted by Prof. Elaine Shi and a Research Associate @ University of South Florida (USF) hoste...

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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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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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