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Between Two Towers 

Anurag Singh
Associate Professor
Room No. 13, Department of Computer Science and Engineering
Administrative Building
National Institute of Technology, Delhi (INDIA)
Plot No. FA7, Zone P1, GT Karnal Road, Delhi-110036
Email: anuragsg@nitdelhi.ac.in
Phone: + 91 11 33861122

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.

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.

Recent Publications

  1. Jain, Eeti, and Anurag Singh. "Trust-and reputation-based opinion dynamics modelling over temporal networks." Journal of Complex Networks 10.4 (2022): cnac019.
  2. Singh, Anurag, and Md Arquam. "Epidemiological modeling for COVID-19 spread in India with the effect of testing." Physica A: Statistical Mechanics and its Applications 592 (2022): 126774.
  3. Jain, Eeti, and Anurag Singh. "Opinion evolution in society with stubborn agents using Temporal Model for Opinion and Triad Network Formation (TMOTNF)." Journal of Complex Networks 9.5 (2021): cnab033.

  4. Singh, A., Bhasin, S., Gakhar, B., & Arquam, M. (2022). Modeling the Effect of Quarantine and Isolation for COVID-19 Spreading. In Artificial Intelligence and Sustainable Computing (pp. 437-450). Springer, Singapore.

  5. Arquam, M., Singh, A. & Sharma, R. A blockchain-based secured and trusted framework for information propagation on online social networks. Soc. Netw. Anal. Min. 11, 49 (2021)

  6. Arquam, Md, and Anurag Singh. "Epidemic Spreading in Geometric Network with Mobile Agents." Acta Physica Polonica B 51.9 (2020): 1853.

  7. M. Arquam, A. Singh and H. Cherifi, "Impact of Seasonal Conditions on Vector-Borne Epidemiological Dynamics," in IEEE Access, vol. 8, pp. 94510-94525, 2020, doi: 10.1109/ACCESS.2020.2995650.