Manas Gaur

Manas Gaur is an Assistant Professor in the Department of Computer Science and Electrical Engineering at the University of Maryland, Baltimore County (UMBC). He holds a Ph.D. in Artificial Intelligence from the University of South Carolina (2022). Prior to UMBC, he worked as a Senior Research Scientist at Samsung Research America and as a Visiting Researcher at the Alan Turing Institute, UK.

His research focuses on Knowledge Graphs, Neurosymbolic AI, and Natural Language Processing, with applications in conversational AI, healthcare systems, cybersecurity, and mental health diagnostics. Notable contributions include developing frameworks like MedInsight for patient-centric medical responses and COBIAS for bias assessment in language models. He emphasizes ethical AI, explainability, and safety in large language models (LLMs).

Publications highlight trends in LLM vulnerabilities, knowledge-infused learning, and mental health applications. His work intersects technical innovation with societal impact, addressing challenges in privacy, bias mitigation, and healthcare informatics. Current projects explore neurosymbolic systems for robust decision-making and knowledge-driven approaches for clinical diagnostics.

For collaboration or inquiries, contact him at manas@umbc.edu or visit his website.