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.

Yuqin Wu | Cryogenic Applications | Best Scholar Award

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Yuqin Wu | Cryogenic Applications | Best Scholar Award

Vice President | Ningde Normal University | China

Prof. Yuqin Wu, Vice President of Ningde Normal University, is a distinguished scholar and academic leader specializing in computer network communication, network security, theoretical algorithms, and the optimization of machine learning, with notable contributions to the advancement of next-generation Internet architectures. She holds advanced degrees in computer science and related specializations and further enhanced her expertise as a visiting scholar at Zhejiang University, where she successfully led a project under the National Key Research and Development Program. As an accomplished educator and researcher, Prof. Wu has combined leadership, project management, and scholarly excellence to strengthen both institutional growth and collaborative innovation. Her research focuses on two major cross-disciplinary domains: intelligent network management and security, where she has pioneered new approaches in network architecture control, security situation awareness, and active defense technologies based on artificial intelligence; and the optimization of Internet of Things (IoT) services, concentrating on agile orchestration and intelligent resource scheduling of IoT microservices in SDN/NFV-enabled environments. She has published more than twenty influential papers in prestigious national and international journals, underscoring her growing impact in the scientific community. Notably, her early work on applying machine learning for network security prediction and attack mitigation highlights her forward-looking contributions to addressing global digital challenges. Drawing on Ningde Normal University’s collaborative platforms, Prof. Wu has developed a research system characterized by intelligence-driven innovation, security and controllability, and service empowerment. For many years, I have been steadfast on the front line of teaching and research, dedicated to the research and application promotion of next-generation Internet architectures such as computer network communication and network security, theoretical algorithms and optimization of machine learning, Internet of Things and Software Defined Network (SDN). Citations by 27 documents, 9 documents, and 3 h-index.

Profile: Scopus

Featured Publication

1. A novel research on network security situation prediction based on iteratively optimized RBF-NN. (2025). Scientific Reports.