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PROFESSORS IN TRUSTWORTHY AI

Showing page 1 of 1 — 15 professors available publicly

Chenliang Xu

Video Understanding Audio-Visual Learning Vision and Language

Chenliang Xu is an Associate Professor in the Department of Computer Science at the University of Rochester. He received his Ph.D. in Computer Science from the University of Michigan in 2016, an M.S. in Computer Science from the University at Buffalo in 2012, and a B.S. in Inform...

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Fan Yang

Trustworthy AI Interpretable Learning Model Explainability

Dr. Fan Yang is an Assistant Professor in the Department of Computer Science at Wake Forest University. He received his Ph.D. in Computer Science from Rice University, under the supervision of Dr. Xia (Ben) Hu. Besides, in industries, he worked or interned with J.P. Morgan AI ...

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Thomas Tie Luo

Trustworthy AI AI Transparency AI Robustness

I am an Associate Professor in the Department of Electrical and Computer Engineering and Department of Computer Science (courtesy joint appointment) at the University of Kentucky. Prior to that, I was an Associate Professor in the Department of Computer Science at Missouri Unive...

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Dongxiao Zhu

Trustworthy AI Adversarial Robustness Explainable AI

Dongxiao Zhu is currently a Professor at Department of Computer Science, Wayne State University. He received the Ph.D. from University of Michigan, Ann Arbor (2006). Dongxiao Zhu's recent research interests are in Trustworthy AI and Applications to Social, Health, and Urban compu...

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Tyler Derr

Graph Machine Learning Large Language Models AI Agents

Dr. Tyler Derr is an Assistant Professor of Computer Science at Vanderbilt University and Director of the Network and Data Science Lab. His research develops new methods in graph machine learning, large language models and AI agents, and data-centric & trustworthy AI, which are a...

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Fengxiang He

Trustworthy AI Large Language Models (LLMs) Diffusion Models

I am a Lecturer at Artificial Intelligence and its Applications Institute, School of Informatics, University of Edinburgh, leading the Edinburgh Ventures for Intelligence and Economics. Within Edinburgh, I am also a Fellow of Generative AI Laboratory, and an Affiliate of the Inst...

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Antonio Vergari

Probabilistic Circuits (PCs) Neuro-Symbolic AI Exact Probabilistic Inference

Dr. Antonio Vergari is a Reader (Associate Professor equivalent) in the School of Informatics at the University of Edinburgh, where he is a leading member of the Institute for Adaptive and Neural Computation (ANC). A specialist in the mathematical foundations of trustworthy AI, D...

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Kishor Gupta

Multi-Modal Data Fusion Physics-Guided Neural Networks Trustworthy AI

Dr. Kishor Datta Gupta is a tenure-track Assistant Professor at Clark Atlanta University specializing in artificial intelligence, machine learning, and cybersecurity. He has earned multiple competitive research awards, including the 2025 NASA MUREP Partnership Learning Annual Not...

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Mathias Lécuyer

Trustworthy AI Privacy in AI Robustness in Machine Learning

I am an assistant professor at UBC in Vancouver, where I am part of the ML, system, and S&P groups, as well as CAIDA and TrustML. I am also Head or Research at Wiremind. Prior to this, I was a postdoctoral researcher at Microsoft Research NY, and completed my PhD at Columbia Univ...

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Guanchu (Gary) Wang

Trustworthy AI Explainability of Foundation Models Reliability of Foundation Models

I am an assistant professor in the Department of Computer Science at University of North Carolina at Charlotte. I earned my Ph.D. in Computer Science from Rice University in 2025, under the guidance of Dr. Xia Hu and Dr. Vladimir Braverman. My research focuses on Trustworthy AI, ...

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Hadi Daneshmand

Trustworthy AI Reliability of AI Models Explainability of AI Models

Dr. Hadi Daneshmand works on trustworthy AI, focusing on the reliability and explainability of AI models. His research lies at the intersection of theoretical and applied machine learning. He leverages advanced tools from mathematical programming, probability theory, and mathemat...

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Zhenyi Wang

continual learning trustworthy AI data-efficient learning

Zhenyi Wang is an assistant professor of computer science at the University of Central Florida and a member of the Institute of Artificial Intelligence. Before joining UCF, he earned his doctoral degree from State University of New York at Buffalo. His research interests focus on...

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Jarek Szlichta

Responsible Data Science Large-Scale Machine Learning Trustworthy AI

Jarek Szlichta is an Associate Professor and a Research Enhanced Faculty in responsible data science and AI under the Connected Minds at York University. He is also a Research Faculty Fellow at IBM Centre for Advanced Studies (CAS) and an Adjunct Professor at University of Waterl...

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Ning Wang

Trustworthy AI AI for Security Security of AI

Dr. Ning Wang is an assistant professor in the Bellini College of Artificial Intelligence, Cybersecurity and Computing at the University of South Florida (USF). She received her Ph.D. in Computer Engineering from Virginia Tech in 2023. Prior to that, she received her BS in Teleco...

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Ankur Chattopadhyay

Visual Privacy Authentication Trust Privacy-Enhancing Visual Surveillance

Dr. Ankur Chattopadhyay is currently a tenured Associate Professor of Cybersecurity in the School of Computing & Analytics (SCA) within the College of Informatics (COI) at Northern Kentucky University (NKU). Ankur is also the current Director of the NKU Center for Information Sec...

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