Address:

Office: Room 215, Department of CSE, S Ramanujan Block,

Indian Institute of Technology Ropar, Main Campus,
Birla Farms, Rupnagar (Ropar), Punjab - 140001

SHASHI SHEKHAR JHA

Ph: +91-1881-23-2171 (O), +91-9707963503(M)
Email: shashi@iitrpr.ac.in, ss.jha@hotmail.com
Web: https://sites.google.com/view/shashi-iitrpr/home

PROFESSIONAL
• Assistant Professor - Department of Computer Science and Engineering, IIT Ropar, INDIA
[Oct, 2018 – Present]
• Accredited Higher Degree Research Supervisor, Swinburne University of Technology Australia,
[Dec, 2019 — Present]
• Research Scientist - Fujitsu-SMU Urban Computing and Engineering (UNiCEN) Corp. Lab,
Singapore [Aug, 2016 – Sep, 2018]
o At UNiCEN, I worked on Taxi Driver Guidance System (DGS) which was designed to
guide taxi drivers in real-time towards potential locations with passenger demand. The focus
of research was to predict passenger demand by analyzing the historical demand patterns
and taking cues from the real-time movement of the taxis.

• Research Intern – Accenture Technology Labs, Bangalore, INDIA [Feb, 2016 – Jul, 2016]
o Worked on Smart Interfaces for Globally Distributed Software Development Teams in order
to facilitate effective development of software solutions using Crowdsourcing approach.

Associated Affiliations
• Director, Technology Business Incubation Foundation IIT Ropar (TBIF-IIT Ropar), INDIA
[Sep, 2021 – Present]
• Associate Faculty Advisor, Board of Science & Technology, Student Affairs, IIT Ropar
[July, 2021 - Present]
• Nominee Member, Board of Studies, Department of Information Technology, GNDEC, Ludhiana
[Sep, 2020 - Aug 2023]
• Member, Research Advisory Committee, School of Computer Science, MIT-World Peace
University, Pune
[Aug, 2021 - Present]
EDUCATION
Ph.D. (Computer Science & Engineering), 2016
Robotics Lab., Department of Computer Science & Engineering,
Indian Institute of Technology Guwahati, Guwahati, INDIA

Bachelor of Engineering (Information Technology), 2010

Institute: Shri Vaishnav Institute of Technology and Science, Indore, M.P., INDIA
University: Rajiv Gandhi Proudyogiki Vishwavidyalaya, Bhopal, M.P., INDIA
ACCOLADES
• Granted Indian Patent no.: 415792 on “A Technique for Synchronizing Task Execution by a Set of
Asynchronous Nodes” on Dec, 2022
• Granted Indian Patent no.: 377728 on “ A MOBILE AGENT FRAMEWORK FOR AN INTERNET OF
THINGS” on Sep, 2021
• Organised AICTE ATAL FDP on “Reinforcement Learning and Its Applications” in Nov 2021
• Finalists for 2020 Innovative Applications in Analytics Award, IAAA-2020, informs Analytics Society
• Winner of Best Application Demo Award at AAMAS 2018
• Winner (first prize) at the ACM International Conference on Information and Knowledge Management
(CIKM17) DataSpark Mobility Open-Task Challenge
o Developed a real-time framework to predict passenger demand for taxis using people’s mobility data
from DataSpark and Taxi-availability information.
o https://www.datasparkanalytics.com/post/cikm-analyticup-2017
• International Travel Grant from the Dept. of Science and Technology, Govt. of India for attending Urb-IoT 2014

held at Rome, Italy.

• TCS Research Fellowship from Tata Consultancy Services - Research Scholars Programme, 2013-2016.

• Research Fellowship by Ministry of Human-Resource Development, Govt. of India, 2010-2015.

• Certificate of Merit from Central Board of Secondary Education, India, 2006.

PUBLICATIONS [Google Scholar: https://scholar.google.com/citations?user=sgOa04gAAAAJ]

Patents:
1. S.B.Nair, Shashi Shekhar Jha, and W.W.Godfrey, “A technique for synchronising task executions by a set of
asynchronous nodes”, Patent no. 415792, Granted on Dec, 2022
2. S.B.Nair, W.W.Godfrey, and Shashi Shekhar Jha, “A mobile agent framework for an Internet of Things”, Patent
no. 377728, Granted on Sep. 2021

Journals/Transactions:
1. Venkateswararao, Kuna, Pravati Swain, Shashi Shekhar Jha, Iacovos Ioannou, and Andreas Pitsillides. "A
novel power consumption optimization framework in 5G heterogeneous networks." Computer Networks,
Elsevier, 2023
 2. Kaur, Amanjot, Shashi Shekhar Jha, Jiong Jin, and Hadi Ghaderi. "Optimizing Trajectory and Dynamic Data
Offloading Using a UAV Access Platform." IoT 3, no. 4 (2022): 473-492.
3. 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.
4. 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.
5. Shashi Shekhar Jha and Shivashankar B. Nair, On a Multi-Agent Distributed Asynchronous Intelligence-
Sharing and Learning Framework, Transactions on Computational Collective Intelligence XVIII, Lecture Notes
in Computer Science, Vol. 9240, Chapter 9, pp. 166-200, July, 2015, Springer Berlin Heidelberg.
6. Shashi Shekhar Jha, W. W. Godfrey and Shivashankar B. Nair, Stigmergy based Synchronization of a Sequence
of Tasks in a Network of Asynchronous Nodes, Cybernetics & Systems: An International Journal, Vol. 45, Issue 5,
pp. 373-406, June, 2014, Taylor & Francis Publn.
7. Shashi Shekhar Jha, Shrinivasa Naika C.L. and Shivashankar Nair, Driving Robots Using Emotions,
Transactions on Computational Science XXI, Special Issue on Innovations in Nature-Inspired Computing and
Applications, Lecture Notes in Computer Science, Vol. 8160, 2013, pp 64-89, Springer.
8. Manoj Bode, Shashi Shekhar Jha and Shivashankar B. Nair, On Movement of Emergency Services amidst
Urban Traffic, EAI Endorsed Transactions on Ambient Systems 15(8): e4, Dec. 2015, EAI.
9. W. W. Godfrey, Shashi Shekhar Jha and Shivashankar B. Nair, On Stigmergically Controlling a Population of
Heterogeneous Mobile Agents Using Cloning Resource, Transactions on Computational Collective Intelligence
XIV, Lecture Notes in Computer Science, 2014, pp. 49-70, Springer Berlin Heidelberg.

Book Chapter(s):
1. Saurabh K. Singh, Shashi Shekhar Jha and Shivashankar B. Nair, On Realizing Emotional Memories,
Handbook of Research on Synthesizing Human Emotion in Intelligent Systems and Robotics, Chapter 5, pages
116-151, 2015, IGI Publications.

Refereed Conferences:
1. Sagalpreet Singh, Shweta Jain, and Shashi Shekhar Jha, “On Subset Selection of Multiple Humans To Improve
Human-AI Team Accuracy”, AAMAS, 2023 (Accepted)
2. Goel, Neeraj, Shashi Shekhar Jha, and S. R. S. Iyenger. "Behind the Scenes of a Postgraduate Curriculum
Design in an Autonomous Institute." In Proceedings of the 15th Annual ACM India Compute Conference, pp.
46-51. 2022.
3. Garg, Armaan, and Shashi Shekhar Jha. "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.
4. Arshdeep Singh and Shashi Shekhar Jha. "Learning Safe Cooperative Policies in Autonomous Multi-UAV
Navigation." In 2021 IEEE 18th India Council International Conference (INDICON), pp. 1-6. IEEE, 2021.
5. Prakarsh Kaushik, Armaan Garg, and Shashi Shekhar Jha. "On Learning Multi-UAV Policy for Multi-Object
Tracking and Formation Control." In 2021 IEEE 18th India Council International Conference (INDICON), pp.
1-6. IEEE, 2021.
6. Athul Thaliyachira Reji, Shashi Shekhar Jha, and Ekta Singla. 2021. On Camera Pose Estimation for 3D Scene
Reconstruction. In 8th ACM IKDD CODS and 26th COMAD (CODS COMAD 2021). Association for
Computing Machinery, New York, NY, USA, 243–247.
7. Mahobe, Megha, Pradeep Kumar, and Shashi Shekhar Jha. "Nature-Inspired AI Techniques in Intelligent
Transportation System." In International Conference on Artificial Intelligence and Sustainable Engineering, pp.
251-263. Springer, Singapore, 2022.
8. Reji, Athul Thaliyachira, Anubhav Dogra, Shashi Shekhar Jha, and Ekta Singla. "Task Space Reconstruction in
Modular Reconfigurable Manipulation System." In Advances in Industrial Machines and Mechanisms, pp.
565-574. Springer, Singapore, 2021.
9. Li, B., Shashi Shekhar Jha, & Lau, H. C. (2019, April). 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.
10. S. F. Cheng, Shashi Shekhar Jha, & Rajendram, R. (2018, July). Taxis strike back: A field trial of the driver
guidance system. In Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent
Systems (pp. 577-584). International Foundation for Autonomous Agents and Multiagent Systems.
11. Shashi Shekhar Jha, Shih-Fen Cheng, Meghna Lowalekar, Nicholas Wong Wai Hin, Rishikeshan Rajendram,
Tran Trong Khiem, Pradeep Varakantham, Truong Trong Nghia and Firmansyah Rahman, Upping the Game of
Taxi Driving in the Age of Uber, Thirtieth Annual Conference on Innovative Applications of Artificial
Intelligence (AAAI-IAAI’18), New Orleans, Louisiana, USA, February 2018.
12. Shashi Shekhar Jha, Shih-Fen Cheng, Meghna Lowalekar, Nicholas Wong Wai Hin, Rishikeshan Rajendram,
Tran Trong Khiem, Pradeep Varakantham, Troung Troung Nghia, and Firmansyah Bin Abd Rahman, A Real-time
Big Data Framework for Taxi Drivers, Workshop on Big Data Analytics for Enhancing Public Transport
(BigTransport17) In Conjunction with ACM International Conference on Information and Knowledge
Management (CIKM17), November 6-10, 2017, Singapore.
13. Tushar Semwal, Nikhil S., Shashi Shekhar Jha, Shivashankar B. Nair, TARTARUS: A Multi Agent Platform for
Bridging the gap between Cyber and Physical Systems, Proceedings of the 15th International Conference on
Autonomous Agents and Multiagent Systems (AAMAS 2016, Demonstration), J. Thangarajah, K. Tuyls, C.
Jonker, S. Marsella (eds.), International Foundation for Autonomous Agents and Multiagent Systems, May 9–13,
2016, Singapore, pp. 1493-1495.
14. Shashi Shekhar Jha and Shivashankar Nair, An Idiotypic Solution Sieve for Selecting the Best Performing
Solutions in Real-World Distributed Intelligence, IEEE 3rd International Conference on Artificial Intelligence,
Modelling and Simulation, AIMS 2015, 2-4 December 2015, Malaysia, pp. 71-77, IEEE Xplore.
15. Tushar Semwal, Manoj Bode, Vivek Singh, Shashi Shekhar Jha and Shivashankar B. Nair, Tartarus: A Multi-
Agent Platform for Integrating Cyber-Physical Systems and Robots, 2nd International Conference of Robotics
Society of India, Proceedings of the 2015 Conference on Advances In Robotics (AIR ’15), Article 20, 6 pages,
ACM.
16. Manoj Bode, Shashi Shekhar Jha and Shivashankar B. Nair, A Mobile Agent based Autonomous Partial Green
Corridor Discovery and Maintenance for Emergency Services amidst Urban Traffic, In Proceedings of the First
International Conference on IoT in Urban Space 2014 (URB-IOT ’14), Rome, Italy, 2014, pages 13-18, ACM.
17. Shashi Shekhar Jha and Shivashankar Nair, Orchestrating the Sequential Execution of Tasks by a
Heterogeneous set of Asynchronous Mobile Agents, in 12th German Conference on Multiagent System
Technologies, Stuttgart, Germany, 23-25th September 2014, MATES 2014, Lecture Notes in Computer Science,
Volume 8732, 2014, pp 103-120, Springer International Publishing.
18. Shashi Shekhar Jha, On Realizing an intelligent Internet of Things using Intelligent Agents, MATES Doctoral
Consortium 2014, Stuttgart, Germany, pp. 23-30, IfI Technical Report Series (IfI-14-04). [http://www.in.tu-
clausthal.de/fileadmin/homes/techreports/ifi1404lehnhoff.pdf#page=25]
19. Shashi Shekhar Jha, Kunal Shrivastava and Shivashankar Nair, On Emulating Real-World Distributed
Intelligence Using Mobile Agent Based Localized Idiotypic Networks, In Mining Intelligence and Knowledge
Exploration (MIKE-2013), Volume 8284 of LNCS, 2013, pp.487-498, Springer International Publishing.
20. Kunal Shrivastava, Shashi Shekhar Jha and Shivashankar Nair, Autonomous Mobile Robot Navigation using
Artificial Immune System, In Proceedings of Conference on Advances In Robotics (AIR '13), International
Conference of the Robotics Society of India, Article 82, 2013, 7 pages, ACM.
21. Saurabh Prajapati, Shashi Shekhar Jha, Shrinivasa Naika and Shivashankar Nair, On Rendering Emotions on a
Robotic Face, In Proceedings of Conference on Advances In Robotics (AIR '13), International Conference of the
Robotics Society of India, Article 19, 2013, 7 pages, ACM.
22. W. W. Godfrey, Shashi Shekhar Jha and Shivashankar B. Nair, On A Mobile Agent Framework for an Internet
of Things, Proceedings of the International Conference on Communication System and Technologies, CSNT
2013, Gwalior, India, 2013, pp. 345-350, IEEE Xplore.

23. Shashi Shekhar Jha, Shrinivasa Naika C. L., Vibhor Nikhra and Shivashankar B. Nair, On Using Emotions in
Decision-Making by Situated Robots, Proceedings of the 12th International Conference on Hybrid Intelligent
Systems (HIS 2012), 4 – 7 December, 2012, Pune, India, pp. 372-377, IEEE Xplore.
 24. Shashi Shekhar Jha, Shivashankar B. Nair, A logic programming interface for multiple robots, 3rd National
Conference on Emerging Trends and Applications in Computer Science (NCETACS), Shillong, India, 2012,
pp.152-156, IEEE Xplore.

BEEN A REVIEWER FOR

• 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)
• Concurrency and Computation: Practice and Experience, Wiley
• IEEE Robotics and Automation Letters
• Machine Learning with Applications, Elsevier
• Multimedia Tools and Applications, Springer

COURSES TAUGHT AT IIT Ropar:

• Fall 2022 - [CS 533 & CS 543] Reinforcement Learning and Reinforcement Learning Lab.

• Fall 2022 - [GE107] Tinkering Lab

• Spring 2022 - [CS503] Machine Learning (with Dr Shweta Jain)

• Spring 2022 - [CS512] Artificial Intelligence

• Fall 2021 - [CS 533 & CS 543] Reinforcement Learning and Reinforcement Learning Lab.

• Fall 2021 - [CS 509] PG Software Lab. (with Dr Viswanath Gunturi)

• Spring 2021 - [CS512] Artificial Intelligence

• Spring 2021 - [CS712] Topics in AI

• Fall 2020 - [CS 533] Reinforcement Learning

• Spring 2020 - [CS512] Artificial Intelligence | [CS304] Computer Network (with Dr Sudeepta Mishra)

• Fall 2019 - [CS529] Applied Artificial Intelligence| [GE107] Tinkering Lab

• Spring 2019 - [CS512] Artificial Intelligence

RESEARCH INTERESTS:
Reinforcement Learning, Artificial Intelligence, Multiagent Systems, Multirobot/Multi-drone Systems

PROJECTS and COLLABORATIONS:

• Research Collaborations:

• Swinburne University of Technology, Australia [2019 - Present]

• Accenture Technology Labs, Bangalore [2020 - Present]

• CSIO, CSIR, Chandigarh [2021-Present]

• Consultancies:

• XLPAT Labs [2020]

• Punjab State Cooperative Banks [2021]

• StarBru TechSystems Pvt. Ltd. [2022]

• Project:

• "Multi-UAV based Damage Estimations and Rescue Information During Natural Calamities"

• Agency: ISIRD, IIT Ropar

• Funding: 10.00 Lakhs INR.

• “Distributed Beamforming and Beampattern Design using Drone Swarm Network”

• Agency: ISRO

• Funding: 34.75 Lakhs INR.

Place: IIT Ropar Date: 31 March 2023