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PROFESSORS IN ALGORITHMIC FAIRNESS

Showing page 1 of 1 — 10 professors available publicly

Richard Zemel

Richard Zemel

Autoencoders Algorithmic Fairness Prototypical Networks

Dr. Richard Zemel is the Trianthe Dakolias Professor of Engineering and Applied Science at Columbia University, where he serves as a leading authority in Machine Learning, Computer Vision, and Neural Coding. His pioneering work has focused on unsupervised learning, specifically t...

Judy Hoffman

Judy Hoffman

Domain Adaptation Transfer Learning Adversarial Robustness

Dr. Judy Hoffman is an Associate Professor in the School of Interactive Computing at Georgia Tech, a member of the Machine Learning Center, and a Diversity and Inclusion Fellow. Her research lies at the intersection of computer vision and machine learning with specialization in d...

Suresh Venkatasubramanian

Suresh Venkatasubramanian

Algorithmic Fairness Ethics of Artificial Intelligence (AI) Mathematical Bias Mitigation

Suresh Venkatasubramanian is a Professor of Computer Science and Data Science at Brown University, where he serves as the Director of the Center for Technological Responsibility, Reimagination, and Redesign (CNTR). A leading international voice in algorithmic fairness and the eth...

Chris Kanich

Chris Kanich

Sociotechnical Cybersecurity Algorithmic Fairness Cybersecurity Policy Analysis

Chris Kanich joined the Computer Science department as faculty in 2012, and is currently an Associate Professor and Director of Undergraduate Studies. His research focuses on sociotechnical cybersecurity as well as algorithmic fairness, and has received over $5.5 million of gover...

Depeng Xu

Depeng Xu

differential privacy algorithmic fairness ethical AI

Dr. Depeng Xu is an Assistant Professor in the Department of Software & Information Systems and the School of Data Science at UNC Charlotte. His research focuses on data mining and machine learning, specifically differential privacy, algorithmic fairness, and ethical AI

Marjory Da Costa Abreu

Marjory Da Costa Abreu

Ethical Artificial Intelligence Algorithmic Fairness Bias Mitigation in AI

I am currently an associate professor in ethical artificial intelligence at the school of computing and digital technologies

Sumon Biswas

Sumon Biswas

Software Engineering (SE) Algorithmic Fairness Responsible AI Systems

Research Interests My research focuses in the intersection of Software Engineering and AI, developing models, verification techniques, and design principles for responsible AI systems. Combining both formal with empirical methods, I aim to ensure algorithmic fairness and safety ...

Clinton Castro

Clinton Castro

Information Ethics Algorithmic Fairness Ethical Issues in Emerging Technologies

Clinton Castro is an Assistant Professor at the Information School (iSchool) in the School of Computer, Data & Information Sciences at the University of Wisconsin–Madison, where he works at the intersection of information ethics, algorithmic fairness, and ethical issues in emer...

Sarah Brown

Sarah Brown

Algorithmic Fairness Explainable Machine Learning Bias Auditing Frameworks

Sarah M. Brown is an Assistant Professor of Computer Science and Statistics at the University of Rhode Island, where she leads the ML4Good Lab. Her research is focused on the socio-technical implications of artificial intelligence, specifically in algorithmic fairness, explainabl...

Shiwei Zeng

Shiwei Zeng

Machine Learning Theory Algorithmic Robustness Algorithmic Fairness

I am a tenure-track assistant professor at SCCS Augusta University, GA. I always look for self-motivated PhD students with strong math background and machine learning research experience. If interested, please drop me an email titled "Interests in Ph.D. Positions - FirstName Last...