PROFESSORS IN MACHINE LEARNING

Showing page 2 of 3 — 50 professors available publicly

Michael Kirby

Michael Kirby

geometric data analysis machine learning mathematical modeling

Michael Kirby in Colorado primarily refers to Dr. Michael Kirby, a prominent Professor of Mathematics and Computer Science at Colorado State University (CSU), known for his work in geometric data analysis, machine learning, and mathematical modeling, with roles in the Data Scienc...

Richard Brown

Richard Brown

Biomedical Signal Processing Neurological Data Analysis machine learning

Richard Brown is a Professor in the Kahlert School of Computing at The University of Utah. His research interests include Biomedical Signal Processing, Machine Learning, and Neurological Data Analysis.

Han-Wei Shen

Han-Wei Shen

Data Visualization High Performance Computing Machine Learning

Han-Wei Shen is a Full Professor at The Ohio State University. He Joined Ohio State in 1999, after spending three years at NASA Ames Research Center. He is currently the Editor in Chief of IEEE Transactions on Visualization and Computer Graphics. He is a member of IEEE Visualizat...

Tu Vu

Tu Vu

Artificial Intelligence (AI) Data Analytics DeepMind Research

I am an Assistant Professor at Virginia Tech (VT) and a Faculty Researcher at Google. At VT, I am also affiliated with the Sanghani Center for Artificial Intelligence & Data Analytics. Prior to joining VT, I held the position of Research Scientist at Google DeepMind for a year af...

Huaizu Jiang

Huaizu Jiang

Natural Language Processing (NLP) Computer Vision Computational Photography

Huaizu Jiang is an assistant professor in the Khoury College of Computer Sciences at Northeastern University, based in Boston. Jiang's research interests include computer vision, computational photography, machine learning, natural language processing, and artificial intellige...

Kevyn Collins-Thompson

Kevyn Collins-Thompson

Natural Language Processing (NLP) Information Retrieval Large-Scale Data Mining

I am an associate professor with tenure at the University of Michigan (Ann Arbor), with appointments in the School of Information and College of Engineering, Dept. of Electrical Engineering and Computer Science (affiliate, CSE Division). I am also an affiliate faculty member of t...

Prasad Tadepalli

Prasad Tadepalli

Natural Language Processing (NLP) Inductive Logic Programming Automated Planning and Reasoning

Prasad Tadepalli has an M.Tech in computer science from Indian Institute of Technology, Madras, India and a Ph.D. from Rutgers University, New Brunswick. He joined Oregon State University, Corvallis, as an assistant professor in 1989. He is now a professor in the School of Electr...

René Just

René Just

Static Program Analysis Dynamic Program Analysis Developer Productivity

René Just is an Associate Professor at the University of Washington. His research interests are in software engineering, software security, and data science, in particular static and dynamic program analysis, developer productivity, and applied statistics and machine learning. ...

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.

Khaled Rasheed

Khaled Rasheed

Evolutionary Computation Machine Learning Integrative Precision Agriculture

I am a professor in the School of Computing of the University of Georgia (UGA). I am also the director of the Evolutionary Computation & Machine Learning (ECML) lab, a member of the Artificial Inteligence Institute, and Institute for Integrative Precision Agriculture.

Christian R Shelton

Christian R Shelton

statistical approaches in artificial intelligence machine learning dynamic systems

Dr. Shelton is the Chair of the Department of Computer Science & Engineering at the University of California at Riverside and a member of UCR's Data Science Center. He has been on the faculty since 2003. His research interests are in statistical approaches in artificial intellige...

Shan Suthaharan

Shan Suthaharan

Bayesian Optimization Methods Big Data Analytics Data Privacy

Shan Suthaharan, Ph.D., is a Professor of Computer Science at the University of North Carolina at Greensboro. He joined UNCG in 2001 and has served in leadership roles including Director of Undergraduate Studies and Graduate Program Director. His research focuses on big data anal...

Bogdan Matuszewski

Bogdan Matuszewski

Computer Vision Machine Learning Computer Vision and Machine Learning (CVML)

Bogdan is a Professor of Computer Vision. He is the Head of Computer Vision and Machine Learning (CVML) Research Group and Deputy Director of Research Centre in Engineering. He has participated in 24 projects, leading 11 of them, and secured in excess of £2.5M in direct research...

Ilya Safro

Ilya Safro

algorithms for quantum computing Natural Language Processing (NLP) network science and graph algorithms

Dr. Ilya Safro received his Ph.D. from the Weizmann Institute of Science under the supervision of Achi Brandt and Dorit Ron. In January 2021, he joined the Department of Computer and Information Sciences at the University of Delaware. In 2012-2020, Dr. Safro held assistant and as...

David Alvarez-Melis

David Alvarez-Melis

Natural Language Processing (NLP) Machine Learning Semidefinite Programming

I obtained a PhD in computer science from MIT, where I worked at CSAIL on various topics in machine learning and natural language processing. I also hold BSc (Licenciatura) and MS degrees in mathematics from ITAM and Courant Institute (NYU), respectively. During the latter, I wor...

Snehasis Mukhopadhyay

Snehasis Mukhopadhyay

Artificial Intelligence in Medicine Interactive Data Science Machine Learning

Dr. Snehasis Mukhopadhyay is a Professor of Computer Science at Purdue University, Indianapolis. He received his Ph.D. from Yale University, and a Master’s degree from the Indian Institute of Science, Bangalore, India. He received an NSF CAREER award for integrating research an...

Fan Liang

Fan Liang

Internet of Things (IoT) Big Data Analytics Distributed Computing Systems

Fan Liang is an Assistant Professor at Sam Houston State University. His research areas include IoT, Big Data, Distributed Computing, and Machine Learning.

Terry Soule

Terry Soule

evolutionary computation adaptive algorithms machine learning

Dr. Terence (Terry) Soule is a Professor of Computer Science who earned his Ph.D. in Computer Science from the University of Idaho in 1998, along with an M.S. in Physics from Washington State University and a B.A. in Physics from Reed College. His research focuses on evolutionary...

Xinya Du

Xinya Du

Natural Language Processing (NLP) Large Language Models (LLMs) Vision-Language Models (VLMs)

I am Xinya Du, a tenure-track assistant professor in the Department of Computer Science at the UT Dallas. My research focuses on in the area of Natural Language Processing (NLP), Large Language and Vision-Language Models (LLMs/VLMs), and Machine Learning (ML). I earned Ph.D. degr...

Luis Ortiz

Luis Ortiz

Artificial Intelligence (AI) Machine Learning Reinforcement Learning

I am an Associate Professor at the Department of Computer and Information Science at the University of Michigan - Dearborn, a position I have held since September 2018. I was an Assistant Professor from September 2015 until August 2018. From August 2008 through August 2015, I ...