News & Events

Heartfelt Congratulations to Shikhar, Vashistha, Dr. Neetesh Kumar for getting acceptance of paper "Selective State-Focused Graph Attention Networks for Multihorizon Traffic Forecasting" in IEEE Transactions on Computational Social Systems [SCI, Q1, IF: 4.9].


Heartfelt Congratulations to Dr. Nisha Singh Chauhan, Dr. Neetesh Kumar for getting acceptance of paper "Exploring Spatial-Temporal Correlations with Dual Stream Conv-GRU and Fuzzy-Inspired Attention Mechanism for Traffic Flow Prediction" in IEEE Transactions on Computational Social Systems [SCI, Q1, IF: 4.9].


Heartfelt Congratulations to Dr. Nisha Singh Chauhan for joining as an Assistant Professor in NIT Delhi.


Shikhar Vashistha and Prof. Neetesh Kumar, "Dynamic Graph Learning for Systems using Selective State Focused Attention Networks", IEEE/ACM CCGrid-2025 [Core A].


Heartfelt Congratulations to Dr. Nisha Singh Chauhan for successful completion of your Ph.D. defence.


Heartfelt Congratulations to Dr. Anuj Sachan for successful completion of your Ph.D. defence.


Heartfelt Congratulations to Dr. Neetesh Kumar for getting your patent "SYSTEM FOR AUTONOMOUS VEHICULAR COMMUNICATION BASED ON A BLOCKCHAIN NETWORK AND METHOD (App No: 202411000589)" nominated for the R&D fair, IInvenTiv-2025 held at IIT Madras on 28th February & 1st March 2025.


Neetesh Kumar, Shubhangi Batra, Shikhar Vashistha, Tippana Rajesh, Bolla Nikitha, Atluri Guna Sai, "eCharge: Deep Reinforcement Learning Framework for Multi-Objective Electric Vehicle Charging Route Planning", IEEE/ACM CCGrid-2025, [Core A].


Vibha Bharilya, Ashok Arora, and Neetesh Kumar, "Self-Supervised Transformer for Trajectory Prediction using Noise Imputed Past Trajectory", IEEE Transactions on Intelligent Transportation Systems. [SCI, Q1, IF:8.5] [Status: Accepted 2025]


Shikhar Singh Lodhi,Prof. Neetesh Kumar, Pradumn Kumar Pandey,” Dynamic Option Policy enabled Hierarchical Deep Reinforcement Learning Model for Autonomous Overtaking Maneuver”, IEEE Transactions on Intelligent Transportation Systems [SCI, Q1, IF: 8.5]. [Status: Accepted 2025].


Nisha Singh Chauhan, Prof. Neetesh Kumar, "STLTEformer: Spatio-Temporal Long-Term Embedding Transformer for Traffic Flow Prediction", IEEE Transactions on Computational and Social Systems [SCI, Q1, IF: 5], [Status :Accepted, 2025].


Shikhar Singh Lodhi, Prof. Neetesh Kumar, and P. K. Pandey, "Option Policies for Obstacle Avoidance in Safety Critical Scenarios using Hierarchical Deep Reinforcement Learning", IEEE Intelligent Vehicles Conference, 2025.


Dr. N. Kumar received his M.Tech and Ph.D degrees from the School of Computer and Systems Sciences (SC&SS), Jawaharlal Nehru University, New Delhi, India. Currently, he is working as an Associate Professor at Computer Science and Engineering (CSE) department, Indian Institute of Technology (IIT), Roorkee, India. One of his works received a Special Mention Award by Xerox Research Centre, Bangalore and some other works also received several best paper awards at various International Conferences. He has published several research articles in prestigious journals including IEEE transactions, Elsevier, Springer etc. He is serving as a regular reviewer for IEEE TITS, IEEE-TVT, IEEE-PDS, IEEE-TNSM, FGCS. He is acting as Lead Principal Investigator (PI) for several major research projects funded by the Government of India including the Department of Science and Technology (DST), Science & Engineering Research Board (SERB), Council of Scientific & Industrial Research (CSIR), and IIT Roorkee. He has also filed several patents for his inventions as an individual and in collaboration. He has been part of technical program committee members for several conferences. He has also been invited to present as a keynote speaker and session chair at the various conferences, Faculty Development Programs (FDPs) at IIT-BHU, IIT-Indore, IIIT Allahabad, MNNIT-Allahabad, etc. His research areas include Artificial Intelligence, Cloud Computing, Transport-Cyber-Physical Systems (CPS), Software Defined Networking and Vehicular Networking.

I am looking for highly motivated research scholars to work in any of the above mentioned research domains, and interested candidates are advised to apply for the B.Tech, M.Tech, and Ph.D programs through the IITR channel. Full-time Ph.D. candidates, first, check their eligibility as per the Institute norms and write to me at neetesh@cs.iitr.ac.in. For more details, click here

Google Scholar Link: click here