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Anurag Singh
Associate Professor
Room No. 216, 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
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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
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Singhal, Kumar, Ankur, Shriansh Manhas and Anurag Singh. "Beyond the traditional models: a network reconstruction based model for predicting and analysing individual health status." Journal of Computing Vol. 107 (2024).
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Singhal, Kumar, Ankur and Anurag Singh. "Mapping Health Pathways: A Network Analysis for Improved Illness Prediction." Journal of Concurrency and Computation: Practice and Experience Vol. 36, Issue28 (2024): e8301.
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Kumar, Pankaj, Singh, Anurag, and Ajay K. Sharma. "Identification of influential vertices in complex networks: A hitting time -based approach." Journal of Concurrency and Computation: Practice and Experience 36.11 (2024).
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Jain, Eeti, and Anurag Singh. "Trust-and reputation-based opinion dynamics modelling
over temporal networks." Journal of Complex Networks 10.4 (2022): cnac019.
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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.
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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.
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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.
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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)
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Arquam, Md, and Anurag Singh. "Epidemic Spreading in Geometric Network with
Mobile Agents." Acta Physica Polonica B 51.9 (2020): 1853.
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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.
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Kumar, Prem, Puneet Verma, and Anurag Singh . "A Study of Epidemic Spreading
and Rumor Spreading over Complex Networks." Towards Extensible and Adaptable Methods
in Computing. Springer, Singapore, 2018. 131-143.
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Jain, Eeti, Anurag Singh, and Rajesh Sharma. "TTPROF: A Weighted Threshold
Model for Studying Opinion Dynamics in Directed Temporal Network." International
Workshop on Complex Networks and their Applications. Springer, 2018.
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Arquam, Md, Anurag Singh , and Rajesh Sharma. "Modelling and Analysis of
Delayed SIR Model on Complex Network." International Workshop on Complex Networks
and their Applications. Springer, 2018.
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Kumar, Rajesh, Anurag Singh, and Hocine Cherifi. "Effect of Topological
Structure and Coupling Strength in Weighted Multiplex Networks." International
Conference on Computational Social Networks. Springer, 2018.
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S. Kumari and A. Singh, "Community structured time varying communication
networks," 2018 10th International Conference on Communication Systems & Networks
(COMSNETS), Bengaluru, 2018, pp. 513-515.
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Kumari, Suchi, and Anurag Singh. "Time-Varying Network Modeling and its
Optimal Routing Strategy." Advances in Complex Systems (2017): 1850006.
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Kumar, M., Singh, A., & Cherifi, H. (2018, April). An Efficient Immunization
Strategy Using Overlapping Nodes and Its Neighborhoods. In Companion of the The Web
Conference 2018 on The Web Conference 2018 (pp. 1269-1275). International World Wide
Web Conferences Steering Committee.
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V. Singh, Anurag Singh, Jain, D., Kumar, V., & Verma, P. (2018). Patterns
affecting structural properties of social networking site'Twitter'. International
Journal of Business Information Systems, 27(4), 411-432.
Current students
Miscellaneous links
- How
to write a good research paper
- Advice to a
Beginning Graduate Student by Prof. Manuel Blum
- MIT
OPENCOURSEWARE for Electrical Engineering and Computer Science
- Writing
Tips and Style Guidelines by Prof. J. Cole Smith
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