Dr. Shashi Shekhar Jha

Education:

Research Interests:

  • Artificial Intelligence, Multiagent Systems, Multirobot Systems, Reinforcement Learning

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]

  • Li, Baoxiang, Shashi Shekhar Jha, and Hoong Chuin Lau. "Route Planning for a Fleet of Electric Vehicles with Waiting Times at Charging Stations." In European Conference on Evolutionary Computation in Combinatorial Optimization (Part of EvoStar), pp. 66-82. Springer, Cham, 2019.

  • Shih-Fen Cheng, Shashi Shekhar Jha, and Rishikeshan Rajendram. Taxis Strike Back: A Field Trial of the Driver Guidance System. (AAMAS-2018)

  • Shashi Shekhar Jha, et al.,Upping the Game of Taxi Driving in the Age of Uber, Thirtieth Annual Conference on Innovative Applications of Artificial Intelligence (IAAI-AAAI18)

  • Shashi Shekhar Jha and Shivashankar B. Nair, TANSA: Task Allocation using Nomadic Soft Agents for Multi-Robot Systems, in IEEE Transactions on Emerging Topics in Computational Intelligence, vol. PP, no. 99,2017,pp. 1-11.2.

  • Tushar Semwal, Shashi Shekhar Jha and Shivashankar B. Nair, On Ordering Multi-Robot Task Executions within a Cyber Physical System, ACM Transactions on Autonomous and Adaptive Systems (TAAS), Volume 12 Issue 4, Article No. 20, November 2017, 27 Pages, ACM.

Achievements:

INVITED TALKS:

  • Online Expert Lecture at the STTP on "Artificial Intelligence & 5G Communication Technology" on October 08, 2020. Topic: "Reinforcement Learning Methods"

  • Webinar organized by the Indo-Taiwan Joint Research Centre on AI & ML at IIT Ropar on September 22, 2020 (Tuesday). Topic: "Reinforcement Learning - The natural way of learning from interactions"

  • Expert Lecture at Online FDP on "Deep Learning and Applications" organized by Dept. of CSE, NIT Warangal from 14th -- 18th September,2020. Topic of talk - "Deep Reinforcement Learning"

  • Expert Talk at online STC on "Artificial Intelligence and Its Applications" during 27-31 July 2020, NITTTR Chandigarh, Topic of the talk - "Deep Reinforcement Learning"

  • Expert talk at three days DST sponsored National level workshop on "Advances in Artificial Intelligence (AI), Machine Learning (ML) and Deep Learning (DL)" from 10th August to 12th August 2019 organised at the department of Computer Science & Engineering at NIT Hamirpur.

  • Expert talk at QIP Sponsored Short Term Course on the title "AI, Big Data and HPC Aligned Applications-A Modern Approach of Computing" organized at GNDEC, Ludhiana during 31st Dec. 2018-04th Jan. 2019.

  • Research Talk at National Chung Cheng University under Indo-Taiwan Joint Research Centre on 16th December 2019 at Chiayi Taiwan

  • Research Talk at College of Electrical Engineering and Computer Science in National Tsing Hua University , Hsinchu, Taiwan on 18th December 2019 under Indo-Taiwan Joint Research collaboration for AI/ML

  • Resource person for FDP on “Managing Big-Data” under TEQIP III at IIIT Una (Hamirpur Transit campus) on 25th December 2019

Peer-review Services:

  • Neurocomputing, Elsevier

  • ACM Transactions on Intelligent Systems and Technology, ACM TIST

  • The Open Cybernetics & Systemics Journal, Bentham Science

  • IEEE Workshop On Computational Intelligence: Theories, Applications and Future Directions, 2015

  • IETE Technical Review, Taylor and Francis

  • Transactions on Pervasive Health and Technology, European Alliance for Innovation (EAI) Endorsed

  • World Multiconference on Systemics, Cybernetics and Informatics

  • IEEE Transactions on Emerging Topics in Computational Intelligence (TETCI)

  • Multimedia Tools and Applications, Springer