Anurag Singh
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Anurag Singh |
Research Summary
I study the structure and dynamics of large networks, with a particular emphasis on information propagation and information control over it with and without Community Structure. I also study the modelling of large dynamic communication networks and its performance. Link prediction in monoplex and multiplex networks.
Areas of Interest
Machine Learning, Intelligent Transportation System, Federated Learning, Video Analysis, Video Captioning, Networks, Network Reconstruction, Social Network Analysis, Complex Networks, Graph Spectra, Time Varying Networks, Recommender Systems, Opinion Dynamics, Data Analytics, Mathematical Modeling of Epidemic Spreading, Efficient routing in Communication Networks.
Teaching and Mentoring
I have teaching experience at both undergraduate and graduate level. Initially, I was a lecturer at Ajay Kumar Garg Engineering College, Ghaziabad, India and assistant professor at Maharaja Agrasen Institute of Technology, Delhi, India. Later, as a teaching assistant and tutor during my Ph.D. at Indian Institute of Technology Kanpur, India and Indian Institute of Technology Rajasthan, India. After my Ph.D. I had joined PDPM Indian Institute of Information Technology, Manufacturing and Design, Jabalpur, India and later at National Institute of Technology Delhi, India. I have taught courses ranging from the introductory level to specialized courses in computer science and engineering and Mathematics. Currently, I am mentoring graduate, master and undergraduate students at National Institute of Technology Delhi India. In addition, I am supervising Ph.D. students in NIT Delhi India.
Research Areas
Information dynamics in correlated and uncorrelated Complex networks, Inoculation of nodes in Complex Networks, Dynamics on Networks using the community structure of Complex Networks, Epidemic modeling over human contact networks, Data Analytics, Video Captioning, Network Reconstruction
Recent Publications
- B. Sajja and A. Singh, "Detection of Violent Content in Videos Using Attention-Augmented 3-D Convolutional Networks," IEEE MultiMedia, vol. 32, no. 1, pp. 72-82, 2025-02-20, doi: 10.1109/MMUL.2025.3544110.
- Prasad, R., Kumar, P., Singh, A. et al. Trend Analysis of Extreme Wind and Wave Height at Key Port Locations Along the Indian Coastline. Thalassas 41(1) Page No: 1-23, 2024-11-06.
- Kamlesh Kumar Saha, Prashant Kumar, Anurag Singh, Bahareh Kamranzad, Ian R. Young, Rajni, Assessment and future projections of storm surge using CMIP6 models in the Indo-Pacific region, Ocean Modelling, Volume 196, 2025.
- Jha, Aarya, Anurag Singh, Ankur Kumar Singhal, and Pradumn Kumar Pandey. "Extending Opinion Changing Rate model to world of higher order interactions." Chaos, Solitons & Fractals 204 (2026): 117654.
- N. Sinha and A. Singh, "Opinion Dynamics & Synchronization in Higher-Order Networks: Using the Kuramoto Model and Simplicial Complexes," 2024 International Conference on Artificial Intelligence and Emerging Technology (Global AI Summit), Greater Noida, India, 2024, pp. 630-635 (Best Paper Award).
- B. Chakraborty and A. Singh, "An End-to-End Vision-Based Approach for Indian Sign Language Recognition and Captioning," 2025 IEEE International Conference on Computer, Electronics, Electrical Engineering & their Applications (IC2E3), Srinagar Garhwal, India, 2025, pp. 1-6, doi: 10.1109/IC2E365635.2025.11167226.
- A. Kumar and A. Singh, "Smart Precision Farming: A Water Efficient Irrigation System," 2025 International Conference on Electronics, AI and Computing (EAIC), Jalandhar, India, 2025, pp. 1-6, doi: 10.1109/EAIC66483.2025.11101486.
- Tyagi, D., Singh, A., Cherifi, H. (2025). MAVS: An Ensemble-Based Multi-agent Framework for Fake News Detection. In: Paszynski, M., Barnard, A.S., Zhang, Y.J. (eds) Computational Science – ICCS 2025 Workshops. ICCS 2025. Lecture Notes in Computer Science, vol 15908. Springer, Cham. https://doi.org/10.1007/978-3-031-97557-8_20.
- V. Sharma, B. Chakraborty, A. Singh and A.S. Chauhan, "Integrating Skeleton Graphs with Transformers for Gloss-Free Indian Sign Language Captioning", 14th International Conference on Computational Data and Social Networks, 2025, Springer, Danang, Vietnam (Accepted for presentation and publication).
- A. K. Singhal and A. Singh, "Integrating Network-Derived Metrics: A Feature Augmentation Framework for Improved Prediction," 14th International Conference on Computational Data and Social Networks, 2025, Springer, Danang, Vietnam (Accepted for presentation and publication).
