Omveer Sharma
Visiting Scientist at The Johns Hopkins University
Based in Bhubaneswar, India
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Seniority
Staff
Department
Science
Location
Bhubaneswar
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Higher Education
Company size
18K
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Background
About Omveer Sharma
Summary: I am a researcher specializing in artificial intelligence, with expertise in autonomous vehicle technology, deep learning, driver behavior modeling, trajectory prediction, and collision estimation. Currently, I am a Postdoctoral Fellow (2025–present) at the Leon H. Charney School of Marine Sciences, University of Haifa, where I’m transitioning into the field of swarm robotics and AI at the SAIL lab. The lab focuses on cutting-edge autonomous systems, including AUVs, USVs, and aerial drones, leveraging motion planning, reinforcement learning, multi-agent coordination, and neural modeling—perfectly aligning with my interest in bridging neuroscience, AI, and robotics. Previously, I served as a Postdoctoral Fellow at the Sagol Department of Neurobiology, also at the University of Haifa (2023–2025), where I developed computational models for psychiatric and neurodevelopmental disorders. Previously, as a Senior Research Fellow at IIT Bhubaneswar, I worked on identifying model biases in environmental events. My PhD in Electrical Engineering from IIT Bhubaneswar focused on AI-driven behavior planning and collision estimation for autonomous vehicles. Experience: Postdoctoral Fellow (2025–present): Leon H. Charney School of Marine Sciences, University of Haifa Research in swarm robotics, autonomous underwater/aerial systems, and multi-agent AI. Postdoctoral Fellow (2023–2025): Sagol Department of Neurobiology, University of Haifa Computational neuroscience, genetic data modeling, and disorder-specific simulations. Senior Research Fellow (2022–2023): IIT Bhubaneswar Model bias analysis in climate and environmental simulations. JRF / Project Assistant (2017–2022): IIT Bhubaneswar Research on driver behavior modeling and AI-based planning for autonomous systems. Teaching Assistant (2017–2022): IIT Bhubaneswar Courses: Machine Learning, Control Systems Engineering. Skills: Deep Learning & AI | Swarm Robotics | Reinforcement Learning Multi-agent Systems | Neural & Computational Modeling Scientific Programming | Data Analysis | Research Publication Publications: Extensive experience in publishing research papers. With a research background spanning autonomous vehicles and neurobiological disorders, I am committed to leveraging AI and deep learning for solving real-world challenges.
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