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PROFESSORS IN DEEP LEARNING

Showing page 1 of 3 — 50 professors available publicly

Yoshua Bengio

Yoshua Bengio

Statistical Learning Algorithms Learning Representations for Immersive Video Games Natural Language Processing (NLP)

Understanding intelligence and its implications at all levels to unlock artificial intelligence (AI) is Yoshua Bengio's long-term goal. Scientific Director at IVADO , a full professor in the Department of Computer Science and Operations Research (DIRO) at Université de Montréa...

Jia Deng

Jia Deng

Computer Vision deep learning machine learning

I am a Professor of Computer Science at Princeton University. I direct the Princeton Vision & Learning Lab. My research focuses on computer vision and machine learning.

Kyunghyun Cho

Kyunghyun Cho

Natural Language Processing (NLP) deep learning machine learning

Kyunghyun Cho is the Glen de Vries Professor of Health Statistics and a professor of computer science and data science at New York University. He is also a CIFAR Fellow of Learning in Machines & Brains and an Associate Member of the National Academy of Engineering of Korea. Early...

Dawn Song

Dawn Song

Agentic AI AI Safety and Security Decentralized Intelligence

Dawn Song is a Professor in Computer Science at UC Berkeley and Co-Director of Berkeley Center for Responsible Decentralized Intelligence. Her research interest lies in AI safety and security, Agentic AI, deep learning, security and privacy, and decentralization technology. She i...

Tianqi Chen

Tianqi Chen

Automated End-to-End Optimizing Compiler for Deep Learning Scalable Tree Boosting Systems Deep Learning

I am interested in the intersection of machine learning and systems. The real excitement of this area comes from what can enable when we bring advanced learning techniques and system together. On that end, I am also pushing the direction on deep learning, knowledge transfer and l...

 Honglak Lee

Honglak Lee

deep learning representation learning unsupervised learning

Honglak Lee is currently a Executive Vice President and Chief Scientist of Artificial Intelligence at LG AI Research and an Associate Professor of Computer Science at the University of Michigan, Ann Arbor. Previously he worked as a Research Scientist at Google Research, Brain Tea...

Kate Saenko

Kate Saenko

Adaptive Machine Learning Learning for Vision and Language Understanding Deep Learning

Kate Saenko is a Professor at the Department of Computer Science at Boston University, and the director of the Computer Vision and Learning Group and member of the IVC Group. She received her PhD from MIT. Previously, she was an Assistant Professor at the Department of Computer S...

Philipp Krähenbühl

Philipp Krähenbühl

deep learning image segmentation image understanding

Philipp Krähenbühl received his Ph.D. in Computer Science from Stanford University and then spent two years as a Postdoc at UC Berkeley. His research interests lie in Computer Vision, Machine learning and Computer Graphics. He is particularly interested in deep learning, as w...

Stefan Lee

Stefan Lee

Multimodal Vision-and-Language Understanding Natural Language Processing (NLP) Computer Vision

Before coming to Oregon State University, Stefan Lee was a research scientist in the School of Interactive Computing at Georgia Institute of Technology collaborating with Dhruv Batra and Devi Parikh on multimodal vision-and-language understanding problems. He obtained his Ph.D. d...

Simon Shaolei Du

Simon Shaolei Du

deep learning representation learning reinforcement learning

Simon Shaolei Du is an assistant professor in the Paul G. Allen School of Computer Science & Engineering at University of Washington. His research interests are broadly in machine learning such as deep learning, representation learning, reinforcement learning and data selection. ...

Lifang He

Lifang He

tensor analysis biomedical informatics machine learning

Lifang He received the B.S. degree in Computational Mathematics from Northwest Normal University, and the Ph.D. degree in Computer Science from South China University of Technology. Before joining Lehigh's faculty, she was a postdoctoral associate in the Department of Biostatisti...

Leif Azzopardi

Leif Azzopardi

Natural Language Processing (NLP) Language Modelling Recommender Systems

I am an Associate Professor in Artifical Intelligence and Data Science within the Departement of Computer and Information Sciences at the University of Strathclyde, where I lead the Interaction Lab (i-lab). My group specializes on developing, evaluating and modelling information ...

Chandra Kambhamettu

Chandra Kambhamettu

Video/Image Modeling and Synthesis Biomedical Image Analysis Visualization and Modeling for Environmental Systems

Chandra Kambhamettu is a professor in the USF Bellini College of Artificial Intelligence, Cybersecurity and Computing. He joined the college in 2025 after more than two decades at the University of Delaware, where he directed the Video/Image Modeling and Synthesis Lab and held ap...

Hossein Rahmani

Hossein Rahmani

computer vision machine learning deep learning

I am a Professor at the School of Computing and Communications, Lancaster University (LU). I am currently looking for motivated PhD students and Postdocs with strong interests in computer vision and machine learning. If interested, kindly contact me via email.

Michael Schomaker

Michael Schomaker

deep learning reinforcement learning cognitive modeling

Prof. Dr. Michael Schomaker is a full professor of Artificial Intelligence & Machine Learning at the Ludwig‑Maximilians‑Universität München (LMU), where he leads research and teaching at the intersection of machine learning, cognitive systems, and AI applications. He studie...

Dr Senjian An

Dr Senjian An

Computer Vision deep learning action recognition

Dr Senjian An is a Senior Lecturer in computing at Curtin University, Australia. He has an extensive international academic career spanning roles in Australia and China, including positions as a research fellow at the University of Western Australia and earlier appointments at in...

Jianhua (Jason) Xuan

Jianhua (Jason) Xuan

Deep Learning Computer Vision Medical Imaging and Analysis

Jianhua (Jason) Xuan, Ph.D., is a Professor in the Bradley Department of Electrical and Computer Engineering at Virginia Tech, affiliated with the Deep Learning Research Laboratory. He holds two Ph.D. degrees — one from University of Maryland Baltimore County (1997) and another...

Ajita Rattani

Ajita Rattani

Adaptive Biometric Systems Template Update Procedures Fairness in Artificial Intelligence (AI)

Ajita Rattani is an Assistant Professor in the Department of Computer Science and Engineering at the University of North Texas. She earned her Ph.D. in Electrical and Computer Engineering from the University of Cagliari in 2010, with a dissertation on Adaptive Biometric System Ba...

Mohammad Mohammadi Amiri

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...

Jiang Yu Zheng

Jiang Yu Zheng

autonomous driving deep learning dynamic image processing

Jiang-Yu Zheng received the B.S. degree in Computer Science from Fudan University, China, in 1983, and the M.S. and Ph.D. degrees in Control Engineering from Osaka University, Japan in 1987 and 1990, respectively. From 1990, he was with ATR Communication Systems Research Laborato...