Summary
Manas Gaur is an Assistant Professor at UMBC who builds knowledge-infused AI systems that blend knowledge graphs, NLP, and reasoning for conversational agents, summarization, and personalized recommendations. With 11 years of experience spanning industry research roles at Samsung Research America and internships across institutions like Weill Cornell and Télécom Paris, he bridges academic rigor and product-focused AI research. His PhD work in healthcare informatics and AI underpins interdisciplinary projects—ranging from explainable analyses of suicide risk signals to fintech advising systems—highlighting a knack for applying unsupervised and knowledge-based methods to real-world problems. He leads the KAI2 lab at UMBC and has shared his work via media, podcasts, and invited keynotes, signaling both technical impact and public engagement. An uncommon strength is his trajectory across defense, healthcare, industry, and academic labs, giving him a practical fluency in deploying knowledge-aware models beyond bench experiments.
11 years of coding experience
6 years of employment as a software developer
Bachelor of Technology - BTech Computer Science and Mobile Adhoc Networking, Bachelor of Technology - BTech Computer Science and Mobile Adhoc Networking at Netaji Subhas University of Technology, East Campus
Doctor of Philosophy - PhD Healthcare Informatics and Artificial Intelligence, Doctor of Philosophy - PhD Healthcare Informatics and Artificial Intelligence at University of South Carolina
12th Physics Chemistry and Maths, 12th Physics Chemistry and Maths at Father Agnel School
Doctor of Philosophy - PhD (Transferred to UofSC) Healthcare Informatics and Artificial Intelligence, Doctor of Philosophy - PhD (Transferred to UofSC) Healthcare Informatics and Artificial Intelligence at Wright State University
Master of Technology (MTech) Software Engineering, Master of Technology (MTech) Software Engineering at Delhi Technological University (Formerly DCE)
English, Hindi