Bin Zhang | Artificial Intelligence | Research Excellence Award

Published on by Technology Scientists

Prof. Bin Zhang | Artificial Intelligence | Research Excellence Award

City University of Hong Kong | China

Prof. Bin Zhang is a Professor and senior engineering expert specializing in computer science and intelligent perception, with a strong focus on brain-inspired intelligence, generative models, small object detection, and deep learning–based visual understanding. His research integrates theory and real-world applications in areas such as infrared tiny object detection, intelligent transportation, panoramic vision, spiking neural networks, and natural language processing. He has authored 6 peer-reviewed publications in reputable international journals and conferences, including Sensors and the International Journal of Pattern Recognition and Artificial Intelligence, with his work attracting growing academic citations and visibility. Zhang Bin has led and contributed to multiple nationally recognized innovation initiatives in China and maintains active collaborations with researchers across academia and industry. His research has demonstrated clear social and industrial impact, particularly in smart cities, intelligent sensing, and decision-support systems, advancing practical AI deployment aligned with national and global technological priorities.


View ORCID Profile

Top 5 Featured Publications

Mahmoud Iskandarani | AI | Editorial Board Member

Published on by Technology Scientists

Prof. Mahmoud Iskandarani | AI | Editorial Board Member

Professor | Al-Ahliyya Amman University | Jordan

Prof. Mahmoud Zaki Iskandarani’s research focuses on advancing wireless communication systems with specialization in wireless sensor networks (WSNs), intelligent reflecting surfaces (IRS), robotic communication platforms, adaptive beamforming techniques, and electromagnetic field modeling. With 84 publications, 167 citations, 5 h-index his scholarly output reflects sustained productivity and growing global recognition. His recent works address energy-efficient communication for robotic WSNs, SINR enhancement through adaptive IRS design, hybrid beamforming using Gaussian interpolation, and analytical–numerical modeling supported by neural predictors, demonstrating strong integration of computational intelligence with communication engineering. He has also contributed to transportation and mobility research through studies on BRT system impacts on congestion and safety, highlighting his capacity for multidisciplinary problem-solving. Collaborating with 11 co-authors across diverse domains, he publishes in reputable international journals such as IEEE Access, Journal of Communications, Journal of Robotics, and Cogent Engineering, reinforcing the breadth and relevance of his contributions. Collectively, his research advances theoretical models and practical frameworks that improve spectral efficiency, path-loss prediction accuracy, energy optimization, and network reliability in emerging 6G-oriented and autonomous systems, generating technological and societal value across communication, robotics, and smart mobility sectors.

Profiles: Scopus | ORCID | Google Scholar

Featured Publications

1. Gardner, J. W., Iskandarani, M. Z., & Bott, B. (1992). Effect of electrode geometry on gas sensitivity of lead phthalocyanine thin films. Sensors and Actuators B: Chemical, 9(2), 133–142.

Cited by: 63

2. Iskandarani, M. Z. (2008). Effect of information and communication technologies (ICT) on non-industrial countries—Digital divide model. Journal of Computer Science, 4(4), 315.

Cited by: 41

3. Shilbayeh, N. F., & Iskandarani, M. Z. (2004). Quality control of coffee using an electronic nose system. American Journal of Applied Sciences, 1(2), 129–135.

Cited by: 41

4. Iskandarani, M. Z. (2025). Effect of Intelligent Reflecting Surface on WSN Communication with Access Points Configuration. IEEE Access, 13, 13380–13394.

Cited by: 29

5. Iskandarani, M. Z. (2025). Energy and path loss analysis of wireless sensor networks on a robotic body (WS Robotic). Bulletin of Electrical Engineering and Informatics, 14(3), 1794–1807.

Cited by: 25

Prof. Mahmoud Zaki Iskandarani’s work advances the performance, adaptability, and intelligence of wireless communication systems, contributing to the foundations of future 6G networks and autonomous robotic platforms. His research supports societal and industrial innovation by enabling more efficient connectivity, improved mobility systems, and smarter technological infrastructures worldwide.