Ali Alhaj | Cryogenic System Design | Best Researcher Award

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Dr. Ali Alhaj | Cryogenic System Design | Best Researcher Award

Research Scholar | University Of Hyderabad | India

Dr. Ali Nadim Alhaj, Teacher Assistant and PhD researcher at the University of Hyderabad, specializes in network security and software-defined networking (SDN) with expertise spanning cybersecurity, programming, artificial intelligence, and data analytics. He holds a PhD (pursuing) in Computer Science with specialization in Network Security, a Master’s in Cybersecurity from Marwadi University, and a Bachelor’s in Informatics Engineering from Tishreen University, where he graduated top of his class. His professional experience includes academic roles as a teaching assistant and assistant lecturer guiding students in programming, networking, and AI, as well as industry contributions as a front-end and Android developer for international projects, and as co-founder of an IT training center. His research focuses on advanced methods for SDN security, heavy hitter detection, and adaptive network monitoring, with multiple Scopus-indexed publications in Q1 and Q2 journals, along with a recent international patent in AI-based legal decision support systems. Beyond research, he has demonstrated leadership in academic labs, supported innovation-driven projects, and contributed to capacity-building in IT education. He has been recognized for academic excellence, serves as a contributor to peer-reviewed publications, and is a member of professional research networks. Professionally, his Scopus profile reflects 31 citations across 5 indexed documents with an h-index of 2.

Profiles: Scopus | ORCID

Featured Publications

Alhaj, A. N., Bhukya, W. N., & Lal, R. P. (2025). Adaptive network-wide superspreader detection using programmable switches. AEU – International Journal of Electronics and Communications.

Alhaj, A. N., Bhukya, W. N., & Lal, R. P. (2025, January 4). Advanced method for flow frequency estimation and Top-k heavy hitters detection in SDN leveraging programmable switch. In Proceedings of the 26th International Conference on Distributed Computing and Networking (ICDCN).

Alhaj, A. N., Patel, N. D., Singh, A., Bondugula, R. K., Dar, M. F., & Ahamed, J. (2024). Design and analysis of a robust security layer for software defined network framework. International Journal of Sensor Networks, 44(2), 119–129.

Alhaj, A. N., & Dutta, N. (2022). Analysis of security attacks in SDN network: A comprehensive survey. In K. Chaturvedi, V. Kumar, & A. Kumar (Eds.), Lecture Notes in Networks and Systems (Vol. 293, pp. 23–39). Springer.