Mehul Bhatt
Boston, Massachusetts,United States
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Mehul Bhatt is a distinguished Professor of Computer Science with significant contributions in Artificial Intelligence (AI) and Cognitive Science. His research primarily focuses on human-centered AI, commonsense reasoning, spatial cognition, explainable AI (XAI), and computational cognitive vision. He is known for his interdisciplinary work that bridges formal methods with human-like perception, reasoning, and interaction, aiming to create AI systems that are more intuitive, interpretable, and aligned with human cognitive abilities. Professor Bhatt leads research groups and projects exploring how AI can understand and interact with dynamic, complex environments, often with applications in autonomous systems, human-computer interaction, and design. He holds professorial positions and research leadership roles at Örebro University in Sweden and the University of Bremen in Germany.
Professional Summary
Mehul Bhatt's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Notable Achievements
Professor of Computer Science, Örebro University
Holds a full professorship at Örebro University, Sweden, leading research and teaching in Artificial Intelligence and Cognitive Systems within the Center for Applied Systems Science (ASSIST).
Scientific Director, German Research Center for AI (DFKI)
Serves as a Scientific Director at the German Research Center for Artificial Intelligence (DFKI) Lab Bremen, contributing to and guiding high-impact AI research projects. (Note: This affiliation is prominent, though primary academic professorship is often listed with Universities).
Principal Investigator & Coordinator of Major Research Grants
Successfully secured and led numerous prestigious research grants from bodies like the European Research Council (ERC), German Research Foundation (DFG), and others, funding cutting-edge research in AI and cognitive vision.
Co-Director, ERC Advanced Grant 'WATCH'
Co-directs the European Research Council (ERC) Advanced Grant 'WATCH - WATCHing the world through an embodied, commonsense-enabled, and linguistically grounded Spatio-Temporal Mind', a significant project focusing on AI's understanding of space and time.
Extensive Publication Record & Community Service
Authored and co-authored a large body of influential research papers in top-tier journals and conferences. Actively contributes to the scientific community through editorial roles, conference organization, and program committees.
Pioneer in Qualitative Spatial Reasoning and Cognitive Vision
Recognized for foundational work and advancements in qualitative spatial-temporal reasoning, visuospatial cognition, and developing AI systems that can perceive and reason about the world in a human-like manner.
Educational Background
M.S., Computer Systems Engineering
Illinois Institute of Technology - Year 1998
B.E., Engineering (Electronics & Comm.)
L.D. College of Engineering, Ahmedabad - Year 1993
12th Grade
C.U.Shah Higher Secondary School - Year 1991
Maniben Kotak Highschool, Veraval - Year 1989
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Company Overview
FloCareerFloCareer is an AI-powered video interviewing platform designed to help companies streamline their hiring process and identify top talent more efficiently. It leverages a global network of freelance technical interviewers and advanced assessment tools to conduct structured, unbiased interviews. For end-users (hiring managers and recruiters), FloCareer offers a way to scale their interviewing capacity, reduce time-to-hire, improve interview quality through expert evaluators, and gain deeper insights into candidate skills beyond just resumes. Candidates benefit from a professional and standardized interview experience.
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