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Professors in Machine Learning
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100 professors available publicly
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
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
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
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
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
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
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
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.
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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
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
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
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
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
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
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
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
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
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
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
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 ...