Dr. Shashi Shekhar Jha
Assistant Professor, Indian Institute of Technology Ropar (IIT Ropar) , Oct'2018 - Present
Director, Technology Business Incubation Foundation IIT Ropar (TBIF-IIT Ropar), Sep'2021 - Present
Accredited Higher Degree Research Supervisor, Swinburne University of Technology Australia, Dec'2019 - Dec'2023
Research Scientist, Fujitsu-SMU Urban Computing and Engineering (UNiCEN) Corp. Lab Singapore, Aug'2016 - Sep'2018
Postdoc Research Intern, Accenture Technology Lab. Bangalore, Feb'2016 - Jul'2016
Education:
Ph.D. - Computer Science and Engineering - 2016 (Department of CSE, IIT Guwahati)
B.E. - Information Technology - 2010
Research Interests:
Reinforcement Learning, Artificial Intelligence, Multiagent Systems, Multirobot/Multi-drone Systems
Contact:
Department of CSE, S. Ramanujan Block, IIT Ropar (Main Campus), Birla Farm, Rupnagar - 140001
shashi <i.e. my firstname at> iitrpr [.dot] ac [.] in
Publications (few latest ones):
[Check my google scholar page for full list of publications]
Garg, Armaan, and Shashi Shekhar Jha. "Deep deterministic policy gradient based multi-UAV control for moving convoy tracking." Engineering Applications of Artificial Intelligence 126 (EAAI 2023): 107099. | IF - 8.0 (2022)
Garg, Armaan, and Shashi Shekhar Jha. "Decentralized Critical Area Coverage Using Multi-UAV System with Guided Explorations During Floods." In 2023 IEEE 19th International Conference on Automation Science and Engineering (CASE), pp. 1-6. IEEE, 2023.
Gupta, Sumeet, Shweta Jain, Shashi Shekhar Jha, Pao-Ann Hsiung, and Ming-Hung Wang. "Take Expert Advice Judiciously: Combining Groupwise Calibrated Model Probabilities with Expert Predictions." In ECAI 2023, pp. 956-963. IOS Press, 2023.
Singh, Sagalpreet, Shweta Jain, and Shashi Shekhar Jha. "On subset selection of multiple humans to improve human-AI team accuracy." In Proceedings of the 2023 international conference on autonomous agents and multiagent systems AAMAS-23, pp. 317-325. 2023.
Armaan Garg, Shashi Shekhar Jha, 2022. "Directed explorations during flood disasters using multi-UAV system." In 2022 IEEE 18th International Conference on Automation Science and Engineering (CASE), pp. 2154-2161. IEEE, 2022.
Achievements:
Amanjot Kaur defends her thesis on 26th June 2024 with thesis title - "Trajectory Scheduling of Multi-UAV System in Infrastructure Deficient Environment"
Armaan Garg defends his thesis on 1st April 2024 with thesis title - "Learning Multi-UAV Policies Using Deep Reinforcement Learning for Flood Area Coverage and Object Tracking"
Granted Indian Patent (Patent no 415792) in Dec 2022
Congratulation to Armaan Garg (TCS Research Scholar) for getting his first paper in IEEE CASE 2022
Granted Indian Patent (Patent no 377728) in Sept 2021
My PhD student Mr Armaan Garg has been awarded the TCS Fellowship 2020
Finalists for 2020 Innovative Applications in Analytics Award, IAAA-2020, informs Analytics Society
My PhD student Ms Amanjot Kaur has been selected for the Joint-PhD programme with Swinburne University, Australia
Best Application Demo Award at AAMAS 2018
Winner (Prize money SG$9000) of DataSpark Mobility Open-Task Challenge, CIKM AnalytiCup 2017 at the ACM International Conference on Information and Knowledge Management (CIKM-17)
Research Fellowship from Tata Consultancy Services, TCS Research Scholars Programme, 2013-2016.
