Prof Dr. Yu Luo | Innovative Leadership | Best Researcher Award

Published on by Leadership and Management

Prof Dr. Yu Luo | Innovative Leadership | Best Researcher Award

Tianjin University | China

Yu Luo is a Full Professor and a leading scholar in antennas theory and technology, recognized for his impactful contributions to millimeter-wave and terahertz systems. He earned his B.Eng. and Ph.D. in Electronic Engineering from South China University of Technology, building a strong foundation in advanced electromagnetic theory and antenna design. His academic experience includes international research appointments at the University of Macau, the University of Victoria (Canada), and the National University of Singapore, which enriched his global research perspective. Since joining Tianjin University, he has led multiple national-level research projects as Principal Investigator, focusing on multi-beam reconfigurable array systems, millimeter-wave transceiver integration, and broadband terahertz front-end systems. His research interests center on high-performance antennas, antenna arrays, millimeter-wave and terahertz technologies, and integrated front-end systems. He has published extensively in top-tier SCI journals, including IEEE Transactions on Antennas and Propagation, and authored an influential academic book while holding numerous Chinese invention patents. His work has received wide international recognition through high citation impact, invited talks, and prestigious honors such as the ACES Young Scientist Award and inclusion among the world’s top 2% scientists. Overall, his sustained research excellence and leadership continue to advance antenna science and engineering globally.

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Featured Publications

Equivalent Transmission Line Model for Multilayered Uniaxial Dielectric-Magnetic Anisotropic Media
– AEU International Journal of Electronics and Communications, 2026 (Open Access)
A Gain and Cross-Polarization Discrimination Enhanced ±45° Dual-Polarized Base Station Antenna Using Nonuniform Compressed High-Order Mode Dipoles
– Microwave and Optical Technology Letters, 2025
Low-Profile MIMO Patch Antenna Combined With Solar Cell for 5G Green Communication
– Microwave and Optical Technology Letters, 2025
A Compact Self-Decoupled In-Band Full-Duplex Monopole Antenna Based on Common- and Differential-Mode Theory
– Electronics (Switzerland), 2025
An Ultra-Wideband Planar Lightweight Antenna With Solar Cells
– Microwave and Optical Technology Letters, 2025

Prof. Arshi Naim | Performance Management | Research Excellence Awar

Published on by Leadership and Management

Prof. Arshi Naim | Performance Management | Research Excellence Awar

London Institute of Sustainable Development | United Kingdom

Profiles: ORCID | Google Scholar | Scopus 

Featured Publications

Khan, N., Naim, A., Hussain, M. R., Naveed, Q. N., Ahmad, N., & Qamar, S. (2019). The 51 V’s of big data: Survey, technologies, characteristics, opportunities, issues and challenges. Proceedings of the International Conference on Omni-layer Intelligent Systems, 113.

Naim, A., & Alahmari, F. (2020). Reference model of e-learning and quality to establish interoperability in higher education systems. International Journal of Emerging Technologies in Learning, 15(2), 15–28.

Naim, A. (2023). Consumer behavior in marketing: Patterns, types, segmentation. European Journal of Economics, Finance and Business Development, 1(1), 1–18.

Naim, A. (2022). Role of artificial intelligence in business risk management. American Journal of Business Management, Economics, and Banking, 55–66.

Kamal, S., Naim, A., Magd, H., Khan, S. A., & Khan, F. M. (2022). The relationship between e-service quality, ease of use, and e-CRM performance referred by brand image. In Building a Brand Image Through Electronic Customer Relationship Management, 57.

Reddy, C. K. K., Anisha, P. R., Khan, S., Hanafiah, M. M., Pamulaparty, L., … Naim, A. (2024). Sustainability in Industry 5.0: Theory and Applications. CRC Press.

Alahmari, F., Naim, A., & Alqahtani, H. (2023). E-learning modeling technique and convolution neural networks in online education. In IoT-enabled Convolutional Neural Networks: Techniques and Applications (pp. 261–295).

Naim, A., Hussain, M. R., Naveed, Q. N., Ahmad, N., Qamar, S., Khan, N., & Hweij, T. A. (2019). Ensuring interoperability of e-learning and quality development in education. 2019 IEEE Jordan International Joint Conference on Electrical Engineering and Information Technology, 54.

Naim, A., Alahmari, F., & Rahim, A. (n.d.). Role of artificial intelligence in market development and vehicular communication.