Aaqib Zahoor Shah

 Biography

I am currently working as a Senior Project Scientist at the Indian Institute of Technology Delhi (IIT Delhi). I was previously Doctoral fellow in the Department of Information Technology & Engineering at the National Institute of Technology Srinagar. During my doctoral studies, I was advised by  Dr. Iqra Altaf Gillani and Dr. Janibul Bashir.

I obtained my Master’s degree in Computer Science & Engineering with honours and was awarded the gold medal for academic excellence. My M.Tech. advisors were Prof. Srinivasa K G . and  Dr. Iqra Altaf Gillani.

I am passionate about conducting research in the fields of network science, computational social science, and artificial intelligence (AI). My research focuses on several key areas, including identifying influential nodes in dynamic networks, analyzing the impact of diffusion models, optimizing non-monotonic and non-submodular functions to enhance the quality of influencers while minimizing time complexity, and investigating predictions related to graph topology and network evolution in scenarios of incomplete information.

Publications

1.  Zahoor, A., Bashir, J., & Gillani, I. A. (2026). Forecast to influence: Scalable temporal influence maximization in streaming settings. Engineering Applications of Artificial Intelligence, 181, 115648.

2. Zahoor, Aaqib, Janibul Bashir, and Iqra Altaf Gillani. "From Propagation to Protection: Risk-Aware Diffusion for Harm Minimization in Signed Social Networks." arXiv preprint arXiv:2608.21040 (2026).

3.  Zahoor, A., Kaur, S. (2021). A Review of Algorithms for Secure Data Transmission in IoT Devices. In: Singh, T.P., Tomar, R., Choudhury, T., Perumal, T., Mahdi, H.F. (eds) Data Driven Approach Towards Disruptive Technologies. Studies in Autonomic, Data-driven and Industrial Computing. Springer, Singapore. https://doi.org/10.1007/978-981-15-9873-9_9 

4.  Aaqib Zahoor, Iqra Altaf Gillani, and Janibul Bashir. 2024. TBCELF: Temporal Budget-Aware Influence Maximization. In Proceedings of the 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD) (CODS-COMAD '24). Association for Computing Machinery, New York, NY, USA, 580–581. https://doi.org/10.1145/3632410.3632485

5.  Zahoor, A., Hauq, S., Bashir, U., Hamadani, A., & Shabir, S. (2024). A meshwork of artificial intelligence and biology. In Elsevier eBooks (pp. 315–333). https://doi.org/10.1016/b978-0-443-24001-0.00019-1

6.  Kalra, M., & Zahoor, A. (2025). Advancements in deep learning for glaucoma detection from fundus images: A comprehensive analysis. Journal of Transformative Technologies and Sustainable Development, 9(1), 1-20.

7.  A. Zahoor, I. A. Gillani, and J. u. Bashir, “Influence maximization on temporal networks with persistent and reactive behaviors,” 2024, available: https://arxiv.org/abs/2412.20936

8. Zahoor, A., Gillani, I. A., & Bashir, J. (2025). Diffusion Models for Influence Maximization on Temporal Networks: A Guide to Make the Best Choice. arXiv preprint arXiv:2507.22589.

9.  Zahoor, A., Gillani, I.A. & Bashir, J.u. A Review of Temporal Networks: Operations and Applications. Rev Socionetwork Strat (2025). https://doi.org/10.1007/s12626-025-00187-5 

Get in touch at:  aaqib_phaite003@nitsri.ac.in