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.

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.
• Chauhan, Nisha Singh, Ashok Arora, and Neetesh Kumar. "STLTEformer: Spatio-temporal long-term embedding transformer for traffic flow prediction." IEEE Transactions on Computational Social Systems (2025).
• Chauhan, Nisha Singh, and Neetesh Kumar. "Exploring Spatial–Temporal Correlations With Dual Stream Conv-GRU and Fuzzy-Inspired Attention Mechanism for Traffic Flow Prediction." IEEE Transactions on Computational Social Systems (2025).
• Chauhan, Nisha Singh, and Neetesh Kumar. "Recent Advancements in Traffic Flow Prediction: Review, Challenges and Future Research Directions." ACM Transactions on Intelligent Systems and Technology (2026).

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)
• Lodh, Ayush, Souparni Mazumder, Sanket Biswas, Josep Lladós, and Nisha Singh Chauhan. "From Chunks to Graphs: Training-Free Multimodal Late Interaction for Document Understanding." In International Conference on Document Analysis and Recognition, pp. 592-609. Cham: Springer Nature Switzerland, 2026.

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