Explore professors working in interpretable machine learning and related research areas. Use YourScholar to discover research opportunities and identify professors whose work aligns with your academic interests.
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Cynthia D. Rudin is the Gilbert, Louis, and Edward Lehrman Distinguished Professor of Computer Science at Duke University, with joint appointments in Electrical & Computer Engineering, Mathematics, Statistical Science, and Biostatistics & Bioinformatics. She directs the Interpret...
I am a full professor in the University of Maryland Computer Science Department (tenure home), Institute of Advanced Computer Studies, INFO, and Language Science Center.rnrnMy research focuses on making machine learning more useful, more interpretable, and able to learn and inter...
Furong Huang is an Associate Professor in the Department of Computer Science at the University of Maryland. Specializing in trustworthy machine learning, AI for sequential decision-making, and high-dimensional statistics, Dr. Huang focuses on applying theoretical principles to so...
Dr. Mustafa Bilgic is a Professor of Computer Science and Chair of the Department of Computer Science at the Illinois Institute of Technology in Chicago. He also serves as Director of the Machine Learning Laboratory and leads the Master’s in Artificial Intelligence program. Dr....
Bryan is an Assistant Professor in the Department of Computer Science at Boston University, where he also previously worked as a Postdoctoral Associate and Research Assistant Professor, and is a member of the IVC Group. He obtained his PhD in the computer vision group at the Univ...
I am a Physicist who turned into a Data Scientist to contribute to our society by supporting the energy transition via data-driven approaches. In my research, I investigate complex energy systems, using interpretable machine learning to understand, predict and design future e...
Dr. Dean F. Hougen is a professor in the School of Computer Science at the University of Oklahoma. Dr. Hougen has a PhD in Computer Science and Engineering from the University of Minnesota, with a graduate minor in Cognitive Science, and a BS in Computer Science from Iowa State U...
Dr. Glaser specializes in computational neuroscience research, focusing on neural control of movement and interpretable machine learning.
My research interests are in bioinformatics. I am particularly interested in developing statistical and machine learning methods that are effective, expressive and interpretable, via incorporating domain specific knowledge of biological systems.
I am an Assistant Professor of Computer Science and Software Engineering at Auburn University. I completed my Ph.D. under Dr. Collin F. Lynch at North Carolina State University and my B.S. from Bangladesh University of Engineering and Technology. Before joining Auburn, I was a po...
Qudrat E Alahy Ratul research interests include Machine Learning, Artificial Intelligence, Interpretable Machine Learning, and Natural Language Processing.