Joy Chandra Mukherjee
Indian Institute of Technology Bhubaneswar, Indian Institute of Technology Kharagpur, University of Kalyani
About
Dr. Joy Chandra Mukherjee is currently working as an Assistant Professor in the Department of Computer Science and Engineering under the School of Electrical and Computer Sciences at the Indian Institute of Technology Bhubaneswar, Odisha, India since July 2016. He obtained his B.Tech. degree in Computer Science and Engineering from University of Kalyani in 2004. After that, he worked for three years in the Cognizant Technology Solutions and a year in the Tata Consultancy Services. He earned his M.Tech. degree in Computer Science and Engineering from Indian Institute of Technology Kharagpur in 2011. He received his Ph.D. degree from Indian Institute of Technology Kharagpur in 2015. His research interests include applying different graph and geometric algorithms, approximation algorithms, distributed algorithms, and optimization techniques to solve problems in various domains such as Smart Grid, Vehicular Ad-hoc Networks, Intelligent Transportation Systems, Software Defined Networks, and Wireless Sensor Networks.
Employment
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Indian Institute of Technology Bhubaneswar2016 - Present
Education
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Indian Institute of Technology Kharagpur Doctor of Philosophy2011 - 2015
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Indian Institute of Technology Kharagpur Master of Technology2009 - 2011
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University of Kalyani Bachelor of Technology2000 - 2004
Projects & Funding
Projects & funding information is unavailable.
Publications (18)
- On-demand Multi-Node Partial Charging Scheme using Multiple Wireless Charging Vehicles in WRSN Save
- An Approximation Algorithm for Path Planning of Vehicles for Data Collection in Wireless Rechargeable Sensor Networks Save
- Approximation Algorithms for Vehicle-Aided Periodic Data Collection from Mobile Sensors with Obstacle Avoidance in WSNs Save
- Budget-constrained Controller Placement in Software-defined Network Save
- A Vehicle-Aided Data Collection Scheme for Wireless Rechargeable Sensor Networks Save
- MILP-Based Charging and Route Selection of Electric Vehicles in Smart Grid Save
- On-demand vehicle-assisted charging in wireless rechargeable sensor networks Save
- Charge Scheduling in Wireless Rechargeable Sensor Networks Using Mobile Charging Vehicles Save
- An adaptive load balancing scheme for software-defined network controllers Save
- Distributed Charge Scheduling of Plug-In Electric Vehicles Using Inter-Aggregator Collaboration Save