Rami Ahmad El-Nabulsi | Neurocpmputing , Quantum Neural Networks and AI | Network Innovator Excellence Award

Prof. Dr. Rami Ahmad El-Nabulsi | Neurocpmputing , Quantum Neural Networks and AI | Network Innovator Excellence Award

CESNET | Czech Republic

Prof. Dr. Rami Ahmad El-Nabulsi is a highly prolific researcher with significant contributions across theoretical physics, applied mathematics, quantitative finance, and complex systems. His work spans advanced topics such as fractional calculus, quantum mechanics, Hamiltonian dynamics, fractal systems, and financial modeling, often integrating interdisciplinary approaches to address complex scientific problems. He has published extensively in high-impact journals, contributing to areas including quantum information, cosmology, and nonlinear dynamics. With an impressive h-index of 36, 286 documents, and 5,047 citations, his research demonstrates strong global impact and scholarly influence. His recent studies explore generalized Schrödinger equations, fractal Laplacian models, chaotic orbital dynamics, and financial systems in fractal dimensions, reflecting his continued innovation and leadership in cutting-edge scientific research.

Citation Metrics (Scopus)

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5,047

h-index
36

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286

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Chuan Zhang | Network Resilience and Robustness | Best Researcher Award

Prof. Chuan Zhang | Network Resilience and Robustness | Best Researcher Award

Qufu Normal University | China

Prof. Chuan Zhang is a prominent researcher in control systems, nonlinear dynamics, and multi-agent systems, with a strong academic impact reflected by an h-index of 17, 75 publications, and 1,478 citations across 1,079 documents. His research focuses on advanced control strategies for complex dynamical systems, including partial differential equation (PDE)-based systems, neural networks, and fuzzy systems under cyber-physical constraints. He has made significant contributions to event-triggered control, secure consensus, and fault-tolerant mechanisms in the presence of time delays, data compression, and cyberattacks. His work also explores synchronization of reaction-diffusion neural networks and distributed parameter systems using intelligent and adaptive control techniques. Through integrating artificial intelligence with control theory, his research enhances system resilience, stability, and efficiency, supporting applications in industrial automation, networked systems, and intelligent cyber-physical infrastructures.

Citation Metrics (Scopus)

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1,478

h-index
17

Documents
75

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h-index

Documents


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Featured Publications


Hybrid Event-Triggered Fuzzy Secure Consensus for PDE-Based Multiagent Systems with Time Delays and Multiple Attacks
– IEEE Transactions on Automation Science and Engineering, 2026 (IF: 6.4, Q1)