Ph.D. (Pursuing)
Network Science, Computational Social Science, Artificial Intelligence
Computer Architecture & Coding Lab, 3rd floor Department of CSE, NIT Srinagar - 190006, India
aaqib_phaite003[at]nitsri[dot]ac[dot]in
I am Doctoral fellow in the Department of Information Technology & Engineering at the National Institute of Technology Srinagar, Jammu & Kashmir India. My Ph.D. advisors are 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.
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
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
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
Aaqib,Z.,& Srinivasa,K.G.(2021).Random walk-based approach for graph generation-applications in HealthCareSystems Abstract accepted. InT.Shaikh&W.Mohammad(Eds.), AI-Enabled IoT for Smart Healthcare Systems. Nova Science.
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
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