Rahul Kala
Indian Institute of Information Technology Allahabad, University of Reading, Indian Institute of Information Technology and Management, Gwalior
About
Rahul Kala received the B.Tech. and M.Tech. degrees in Information Technology from the Indian Institute of Information Technology and Management, Gwalior, India in 2010. He received his Ph.D. degree in cybernetics from the University of Reading, UK in 2013. He is currently working as an Assistant Professor in the Indian Institute of Information Technology, Allahabad, India in the Centre for Intelligent Robotics. He is the author of four books and over 100 papers. He has numerous funded projects from Government agencies and industry to his name. He is an active reviewer of leading journals of the domain. He is a recipient of the Early Career Research Grant from the Department of Science and Technology, Government of India. He is a recipient of the Best PhD dissertation award from the IEEE Intelligent Transportation Systems Society; and a scholarship under the Commonwealth Scholarship and Fellowship Program from the UK Government.
Employment
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Indian Institute of Information Technology Allahabad Assistant Professor2014 - Present
Education
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University of Reading PhD2010 - 2013
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Indian Institute of Information Technology and Management, Gwalior Integrated Post Graduate, BTech + MTech2005 - 2010
Projects & Funding
Projects & funding information is unavailable.
Publications (103)
- Robot Mission Planning using Co-evolutionary Optimization Save
- Evolutionary Planning for Multi-User Multi-Task Missions Save
- Sensor based Evolutionary Mission Planning Save
- On sampling inside obstacles for boosted sampling of narrow corridors Save
- Time Bound Robot Mission Planning for Priority Machine Using Linear Temporal Logic for Multi Goals Save
- Tracking Vehicle and Faces: Towards Socialistic Assessment of Human Behaviour Save
- Evolutionary Mission Planning Save
- Learning the Goal Seeking Behaviour for Mobile Robots Save
- Maximum clearance rapid motion planning algorithm Save
- Motion Planning for a Chain of Mobile Robots Using A* and Potential Field Save