Kuan-Wei Lee | Microelectronics | Best Researcher Award

Prof. Kuan-Wei Lee | Microelectronics | Best Researcher Award

I-Shou University | Taiwan

Prof. Kuan-Wei Lee, PhD, is a highly accomplished researcher in semiconductor manufacturing, MOS technology, thin films, oxidation technology, and microwave devices. He earned his PhD from National Cheng-Kung University, Taiwan, in 2006, and progressed from assistant professor to full professor at I-Shou University by 2013. Prof. Lee has published 47 SCI-indexed journal papers and 125 conference articles, with 67 documents indexed in Scopus, 369 citations, and an h-index of 11. He has delivered multiple invited talks and keynote speeches internationally and served as guest editor for reputable journals such as Micromachines, Crystals, and Molecules. His research has significantly advanced GaAs-based electronic devices, thin-film applications, and device simulation. Prof. Kuan-Wei Lee’s excellence is recognized through numerous awards, including the Best Scholar Award, Outstanding Electrical Engineer Award, Young Scholar Award, Academic Service Award, and inclusion in Marquis Who’s Who and Top 100 Engineers. His distinguished teaching and global research contributions establish him as a leading figure in electrical and electronic engineering.

Profile: Scopus

Featured Publications

Huang, P. H., Zhu, Y. Q., Chao, L. W., Lin, W. C., Zheng, R. X., Lee, K. W., & Huang, C. J. (2023). Inhibition of brookite phase of TiO₂ via addition of dimethylformamide solvent and annealing. Sensors and Materials, 35(5), 1569–1577.

Huang, P. H., Wu, C. H., Wu, C. K., Zhu, Y. Q., Liu, J., Lee, K. W., & Huang, C. J. (2023). The effects of annealing temperatures and dimethylformamide doses on porous TiO₂ films. Crystals, 13(1), 61.

[Authors not fully listed]. (2022). Remarkable reduction in I_G with an explicit investigation of the leakage conduction mechanisms in a dual surface-modified Al₂O₃/SiO₂ stack layer AlGaN/GaN MOS-HEMT. Materials.

Huang, C. Y., Mazumder, S., Lin, P. C., Lee, K. W., & Wang, Y. H. (2022). Improved electrical characteristics of AlGaN/GaN high-electron-mobility transistor with Al₂O₃/ZrO₂ stacked gate dielectrics. Materials, 15(19), 6895.

[Authors not fully listed]. (2022). The mechanism of PEDOT: PSS films with organic additives. Crystals.

Lai, C. H., Lee, T. Y., Huang, J. S., Lee, K. W., & Wang, Y. H. (2021). The growth of solution-gelation TiO₂ and its application to InAlAs/InGaAs metamorphic high-electron-mobility transistor. Materials Science in Semiconductor Processing, 129, 105804.

Mojtaba Hajiabadi | Electrical Engineering | Best Researcher Award

Assist. Prof. Dr. Mojtaba Hajiabadi | Electrical Engineering | Best Researcher Award

Assist. Prof. Dr. MojtabaHajiabadi at University of Birjand, Iran

Dr. Mojtaba Hajiabadi is an Assistant Professor in the Communication Engineering Group at the University of Birjand, Iran. With expertise in 6G, wireless communications, adaptive filtering, and machine learning, he has significantly contributed to signal processing and telecommunications. He has served as a visiting researcher at KU Leuven, Belgium, and actively reviews for esteemed journals like IEEE Transactions on Signal Processing. His research includes developing advanced wireless systems, adaptive beamforming, and noise cancellation technologies. With numerous publications, patents, and projects, he remains a leading figure in next-generation communication technologies.

Publication Profile

Google Scholar

Academic Background🎓

Dr. Hajiabadi obtained his Ph.D. in Communication Engineering from Ferdowsi University of Mashhad in 2018, following an M.Sc. from the same institution in 2014 and a B.Sc. from the University of Birjand in 2012. His exceptional academic journey began at the National Organization for Development of Exceptional Talents (NODET). In 2019, he further enhanced his expertise as a Visiting Researcher at KU Leuven, Belgium, working on cutting-edge wireless technologies. His education has laid a strong foundation for his research in wireless communications, adaptive systems, and machine learning-based signal processing.

Professional Background💼

Dr. Hajiabadi has diverse academic and industrial experience, including research and teaching at KU Leuven, Ferdowsi University of Mashhad, and the University of Birjand. His professional roles extend to the Iranian Air Force, Telecommunication Infrastructure Company, and KavirTire Corporation. He has led projects on satellite signal processing, carrier synchronization, and military-grade noise cancellation. His hands-on work with software-defined radios (SDR) and real-world signal applications has made him a key contributor to modern telecommunication advancements, bridging theoretical research with practical implementations.

Awards and Honors🏆

Dr. Hajiabadi has been recognized for his outstanding contributions to communication engineering through multiple awards and distinctions. His work has been featured in leading IEEE journals and conferences, reflecting its high impact. He has received research funding for pioneering studies in adaptive filtering and 6G communications. His role as a reviewer for IEEE Transactions and other esteemed journals highlights his credibility in the research community. Additionally, his patents in noise cancellation circuits for military aircraft showcase his practical innovations in engineering.

Research Focus🔬

Dr. Hajiabadi specializes in 6G wireless communication, adaptive filters, beamforming, noise cancellation, and machine learning applications in signal processing. His research emphasizes optimizing wireless networks using intelligent systems, including channel estimation, equalizers, and interference suppression. His work extends to satellite communication, reconfigurable intelligent surfaces, and AI-driven adaptive systems, addressing real-world challenges in next-generation telecommunications. With a strong emphasis on both theoretical advancements and hardware implementation, his contributions shape the future of wireless connectivity and intelligent communication networks.

Publication Top Notes

🔹 Recursive Maximum Correntropy Learning Algorithm with Adaptive Kernel Size

      Year: 2017 🗓 | Cited by: 36 📑 | IEEE Transactions on Circuits and Systems II: Express Briefs

🔹 Adaptive Multitask Network Based on Maximum Correntropy Learning Algorithm

      Year: 2017 🗓 | Cited by: 19 📑 | International Journal of Adaptive Control and Signal Processing

🔹 Cooperative Spectrum Estimation Over Large‐Scale Cognitive Radio Networks

      Year: 2017 🗓 | Cited by: 15 📑 | IET Signal Processing

🔹 Distributed Adaptive LMF Algorithm for Sparse Parameter Estimation in Gaussian Mixture Noise

      Year: 2014 🗓 | Cited by: 14 📑 | 7th International Symposium on Telecommunications (IST’2014)

Conclusion

Dr. Mojtaba Hajiabadi is a distinguished researcher in communication engineering, specializing in 6G, wireless communication, adaptive filters, and AI-driven signal processing. With a Ph.D. from Ferdowsi University of Mashhad and research experience at KU Leuven, he has made significant contributions through high-impact publications in IEEE Transactions and other prestigious journals. His innovative work includes a patent on acoustic noise cancellation and collaborations on satellite signal detection and defense applications. As a dedicated educator and mentor, he shapes future researchers while actively reviewing for top academic journals. His international exposure, industry collaborations, and academic excellence make him a strong candidate for the Best Researcher Award.