FACULTY PROFILE

Dr Rahul Kumar holds an M Tech in Computer Science and Engineering from IIT (ISM) Dhanbad and a PhD in Computer Science from IIT Patna, where his doctoral research focused on spatio-temporal traffic data modeling for Intelligent Transportation Systems (ITS).

His research interests include traffic forecasting, transportation demand prediction, graph-based deep learning, and Transformer-based architectures, with a focus on developing intelligent and scalable models for complex spatio-temporal data.

He has academic and research experience at IIT Patna and has been involved in international research collaboration and an internship at INESC TEC, University of Porto, Portugal.

Education
PhD XXX  Indian Institute of Technology, Patna
M Tech XXXX Indian Institute of Technology (ISM), Dhanbad 
Experience
August 2026 – Till Date Assistant Professor, Rajiv Gandhi Institute of Petroleum Technology, Jais, Amethi

 

1. CS 101 Computer Programming

2. CS102: Computer Science and Engineering Practices

Completed Ph.d in Spatial Temporal Traffic Related Data Modeling in Intelligent Transportation Systems (ITS). My research focuses on developing intelligent and scalable learning models for complex spatio-temporal data, with particular emphasis on traffic forecasting, transportation demand prediction, graph-based deep learning, and Transformer based architectures. My academic and research experience includes work associated with IIT Patna and international research collaboration and internship with INESC TEC Lab , University of Porto, Portugal. 

NA

Spatio-temporal predictive modeling techniques for different domains: a survey R Kumar, M Bhanu, J Mendes-Moreira, J ChandraACM Computing Surveys 57 (2), 1-42 91 20242.

DyGCN-LSTM: A dynamic GCN-LSTM based encoder-decoder framework for multistep traffic prediction: R. Kumar et al. R Kumar, J Mendes Moreira, J ChandraApplied Intelligence 53 (21), 25388-25411 45 20233.

Spatio-temporal parallel transformer based model for traffic prediction R Kumar, J Mendes-Moreira, J Chandra ACM Transactions on Knowledge Discovery from Data 18 (9), 1-25 37 20244.

An Ant Colony Optimization Based Feature Selection for Data Classification EJ Vishnu Kumar Rajesh Dwivedi, Rahul KumarInternational Journal of Recent Technology and Engineering (IJRTE) 7 (5S4 … 16* 2019

Graph multi-head convolution for spatio-temporal attention in origin destination tensor prediction5. M Bhanu, R Kumar, S Roy, J Mendes-Moreira, J Chandra Pacific-Asia Conference on Knowledge Discovery and Data Mining, 459-47112 20226.

Hybrid fuzzy C-means using bat optimization and maxi-min distance classifier R Kumar, R Dwivedi, E JangamInternational Conference on Advances in Computing and Data Sciences, 68-797 20197.

STARK: Enhancing Traffic Prediction Through Spatiotemporal Adaptive Refinement With Knowledge Distillation S Pandey, S Sharma, R Kumar, JM Moreira, J ChandraIEEE Transactions on Computational Social Systems 2 20268.

CSCN: an efficient snapshot ensemble learning based sparse transformer model for long-range spatial-temporal traffic flow prediction: R. Kumar et al.R Kumar, JM Moreira, J Chandra Data Mining and Knowledge Discovery 39 (4), 312 20259.

Segmentation of Lungs from Chest X-rays using Firefly Optimized Spatial FCM (FASFCM) E Jangam, R Kumar, R Dwivedi, V KumarInternational Journal of Recent Technology and Engineering IJRT 7 (584), 75-78 1 201910.

BTS-Z: A Bootstrap Zero-Shot Learning Approach for City Traffic ForecastingR Kumar, M Bhanu, S ROY, J Moreira, J Chandra 18th IEEE ANTS 2024

NA

NA

NA

Dr Rahul Kumar

Assistant Professor
Computer Science and Engineering
;