Hello! I’m Dr. Nisha Singh Chauhan, currently working as an Assistant Professor in the Department of Computer Science and Engineering at the National Institute of Technology, Delhi. I hold a Ph.D. in Computer Science and Engineering from IIT Roorkee. Prior to that, I completed my M.Tech from IIT Patna and earned my B.Tech in Information Technology from REC Ambedkar Nagar (a State Government Engineering College).
My research aims to bridge the gap between computer science and traffic engineering, with a focus on building smarter, safer, and more sustainable urban mobility systems. I am passionate about continuing my work in this domain and warmly welcome enthusiastic and motivated students to join me in addressing real-world challenges.
I am actively seeking dedicated research scholars to join my research group. Interested candidates are encouraged to apply through the B.Tech, M.Tech, and Ph.D. programs via the NIT Delhi admission channel. For more details, please visit the official website: nitdelhi.ac.in.
Research
My research focuses on intelligent transportation systems (ITS), with a particular emphasis on traffic flow prediction using deep learning models. I am especially interested in developing data-driven solutions for real-world transportation challenges in the Indian context, such as congestion, road safety, and anomaly detection. My broader aim is to bridge the gap between computer science and traffic engineering to enable smarter, safer, and more sustainable mobility systems.
Core Research Domains:
- Intelligent Transportation Systems (ITS)
- Applied Deep Learning
- Traffic Flow Prediction
- Road Safety and Anomaly Detection
Publications
Journals
- Nisha Singh Chauhan, Neetesh Kumar, and Azim Eskandarian, “A Novel Confined Attention Mechanism Driven
Bi-GRU Model for Traffic Flow Prediction”, in IEEE Transactions on Intelligent Transportation Systems, 2024.
- Nisha Singh Chauhan and Neetesh Kumar, “Novel Confined Attention enabled Hierarchical Bi-LSTM and Bi-GRU
Fusion: A Multi-scale Traffic Flow Prediction Application”, in IEEE Transactions on Computational Social
Systems, 2024.
- Nisha Singh Chauhan and Neetesh Kumar, “CAM-RNN: Confined Attention Mechanism enabled RNN Framework
to Improve Traffic Flow Prediction”, in Elsevier - Engineering Applications of Artificial Intelligence, 2024.
Conferences
- Nisha Singh Chauhan and Neetesh Kumar, “Traffic flow forecasting using attention enabled Bi-LSTM and GRU
hybrid model”, in International Conference on Neural Information Processing (pp. 505-517). Singapore: Springer
Nature Singapore, 2022.
- Anuj Sachan, Nisha Singh Chauhan, Neetesh Kumar, “Congestion Minimization using Fog-deployed DRL-Agent
Feedback enabled Traffic Light Cooperative Framework”, in IEEE/ACM 23rd International Symposium on Cluster,
Cloud and Internet Computing (CCGrid), IEEE, 2023.
- Anuj Sachan, Nisha Singh Chauhan, Neetesh Kumar, “Real-time Data-driven Smart Traffic Light Co-operative
Framework for E-SIOV Mobility Management”, in 2024 IEEE 100th Vehicular Technology Conference
(VTC2024-Fall).
- Mohammed Swaned, Sajid Javid, Shreyali Humaney, Anuj Sachan, Nisha Singh Chauhan, and Neetesh Kumar,
“Enhancing Traffic Management Through Advanced Vehicle Detection for Congestion Prevention.” in the Sixth
IEEE MASS Workshop on Smart Living with IoT, Cloud, and Edge Computing 2024 in conjunction with 21th
International Conference on Mobile Ad-Hoc and Smart Systems (MASS-2024)
Students
No mentees yet — but every journey begins with one! If you're excited about research, your name could be the first here.
Student Name
Interest: AI
ID: 2021CS01
Student Name
Interest: AI
ID: 2021CS01
News
- Ph.D. Admissions Open at NIT Delhi - Department of CSE. For more details click here. Deadline: July 11th, 2025.
Teaching
Autumn Semester 2025
- CSBB 102 Introduction to Computer Systems
- ADLB 304 Image Processing and Computer Vision