Prof. Dr. Jianquan Ouyang | Cyber Security | Research Excellence Award

Prof. Dr. Jianquan Ouyang | Cyber Security | Research Excellence Award

Xiangtan University | China

Prof. Dr. Jianquan Ouyang is an emerging researcher in the fields of artificial intelligence, machine learning, and data-driven computational modeling, with a strong emphasis on natural language processing, diffusion models, and federated learning. Affiliated with Xiangtan University, he has authored 66 scholarly publications, receiving 258 citations and achieving an h-index of 8, reflecting consistent research impact. His recent work explores advanced techniques such as nested named entity recognition, transformer-based architectures, and physics-constrained generative models, demonstrating interdisciplinary integration across AI and scientific computing. Dr. Ouyang has collaborated with a broad network of over 90 co-authors, contributing to diverse applications including biomedical imaging, atmospheric simulation, and healthcare monitoring systems. His research advances scalable, fair, and interpretable AI systems, with societal relevance in improving medical diagnostics, environmental modeling, and intelligent data processing frameworks.

Citation Metrics (Scopus)

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h-index

8

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Komil Tashev | Cybersecurity | Editorial Board Member

Dr. Komil Tashev | Cybersecurity | Editorial Board Member

Vice-Rector | Tashkent University of Information Technologies | Uzbekistan

Dr. Komil Tashev is an emerging researcher specializing in nano-electronics, quantum-dot device architectures, and Internet of Things (IoT) systems, with a strong emphasis on applications in healthcare and advanced communication networks. With 17 publications, 94 citations, 7 h-index and collaborations involving over 40 co-authors, his work reflects growing international recognition and active engagement in interdisciplinary research. His contributions focus on designing scalable, energy-efficient, and secure computational architectures that enhance the performance of next-generation IoT devices, particularly through innovations in quantum-dot multiplexers and nano-communication networks. Tashev’s research bridges theoretical advancements with practical implementations, addressing critical challenges such as system miniaturization, low-power operation, data reliability, and device interoperability—key factors for modern medical monitoring and diagnostic systems. His publications in reputable outlets highlight a commitment to integrating quantum-scale technologies with real-world IoT constraints, thereby advancing the efficiency and intelligence of healthcare infrastructures. Through sustained scholarly output, collaborative work, and a clear focus on technological impact, he contributes to shaping the future of nano-enabled IoT systems and their global applications.

Profile: Scopus

Featured Publication

1. Safoev, N., & Karimov, M. (2025). A nano-scale quantum-dot multiplexer architecture for logic units in Internet-of-Things healthcare systems. Nano Communication Networks.

Dr. Komil Tashev’s research drives progress in quantum-scale nano-architectures for IoT healthcare, enabling more reliable, efficient, and compact medical technologies. His work supports global scientific innovation by advancing nano-communication networks and strengthening the technological foundations of next-generation digital health ecosystems.