Tim Oates

Dr. Tim Oates is a Professor in the Department of Computer Science and Electrical Engineering at the University of Maryland, Baltimore County. His research spans machine learning, artificial intelligence, and brain-machine interfaces, with a focus on weakly supervised methods, human-in-the-loop reinforcement learning, and grounded policy development for robotics.

• Ph.D., Computer Science, University of Massachusetts, Amherst, 2000
• M.S., Computer Science, University of Massachusetts, Amherst, 1997
• B.S., Computer Science and Electrical Engineering, 1989

Current research threads include:

• Developing non-invasive brain injury severity assessment via medical time series
• Modeling human brain development through computational frameworks
• Designing algorithms for autonomous robotic learning

Recent publications highlight

• AI security mechanisms (backdoor detection via tensor decomposition, matrix factorization)
• Medical applications (3D artery reconstruction, skin lesion diagnosis, EEG denoising)
• Neuro-symbolic integration (holographic representations, language-guided reinforcement learning)
• Mathematical reasoning (schema-based problem solving, subitizing algorithms)

Contact: oates@cs.umbc.edu | Office: 336 Information Technology and Engineering (ITE) Building