Dr. Amyrul Azuan Mohd Bahar | Microwave Engineering | Best Researcher Award

Dr. Amyrul Azuan Mohd Bahar | Platform Application Engineer | Intel Microelectronics | Malaysia

Amyrul Azuan Mohd Bahar is a Malaysian electronics engineer and researcher with notable contributions in microwave sensors, antenna systems, and material characterization. He has authored multiple high-impact publications and achieved strong citation metrics across major platforms, including 742 citations on Google Scholar with an h-index of 12, 598 citations on Scopus with an h-index of 12, and 639 citations with an h-index of 13 on ResearchGate. His work has influenced both academic and industrial research, particularly in RF sensor technology and dielectric measurement systems. His scholarly output spans journals indexed in ISI and Scopus, and he remains active in collaborative research and innovation.

Publication Profile

Scopus

ORCID

Google Scholar

Education Background

He completed his Docto of Philosophy in Electronics Engineering with a concentration in sensor design at Universiti Teknikal Malaysia Melaka . Prior to that, he earned a Bachelor of Electronics Engineering with an emphasis on wireless communication at the same institution in under a conversion program. His academic path included involvement in funded research projects and technical development, supported by scholarships such as the UTeM Zamalah Scheme and the MyBrain UTeM scholarship. His doctoral studies centered on microwave and RF-based biochemical sensors, leading to prototypes and publications in high-quality journals and conferences.

Professional Experience

He currently serves as a Senior Platform Application Engineer at Intel Microelectronics in Penang, where he supports the Edge Computing Group through hardware enablement, technical validation, and customer-focused engineering solutions. His responsibilities include schematic reviews, system debugging, reference platform testing, and technical documentation. He represents technical requirements during product planning and delivers training to both internal teams and clients. Previously, he worked as a Graduate Research Assistant and Project Research Assistant at Universiti Teknikal Malaysia Melaka, focusing on microwave sensor design, fabrication, and antenna development. His academic roles also included tutoring under the Zamalah Scheme with teaching exposure in electronic and computer engineering.

Awards and Honors

His achievements include recognition for academic excellence, research innovation, and industrial contributions. He received gold, silver, and bronze medals across numerous innovation competitions such as PECIPTA, UTeMEX, and MTE for his microwave sensor prototypes and high-Q resonator advancements. He earned Best Presentation Awards at Intel ICETC and internal technical forums, as well as Best Paper Awards at conferences including ICTEC and PReCON. Intel’s IOTG PMCE Division awarded him multiple recognition titles, while his university honored him with the Chancellor’s Award. Scholarships during his academic journey further acknowledged his research potential and scholarly performance.

Research Focus

His primary research centers on microwave and RF resonator sensor technology for dielectric characterization, bio-sensing, and microfluidic applications. He has developed high-sensitivity split-ring resonator structures, circular SIW-based biochemical sensors, and miniaturized antenna systems tailored to advanced detection environments. His work extends into electromagnetic material measurement, high-resolution waveguide sensors, and substrate-integrated waveguide techniques. Collaborative publications showcase interdisciplinary efforts in biomedical exposure studies, wireless applications, and material permittivity sensing. His research output is indexed in Scopus and ISI, demonstrating impact through technical innovation, practical validation, and adoption of emerging methodologies in sensing and measurement.

Publications

Bahar, A. A. M., Zakaria, Z., Md Arshad, M. K., Isa, A. A. M., Dasril, Y., et al. (2019). Real time microwave biochemical sensor based on circular SIW approach for aqueous dielectric detection. Scientific Reports, 9(1), 5467. Cited by 116.

Alahnomi, R. A., Zakaria, Z., Ruslan, E., Ab Rashid, S. R., & Bahar, A. A. M. (2017). High-Q sensor based on symmetrica

l split ring resonator with spurlines for solids material detection. IEEE Sensors Journal, 17(9), 2766–2775. Cited by 159.

Bahar, A. A. M., Zakaria, Z., Ab Rashid, S. R., Isa, A. A. M., & Alahnomi, R. A. (2017). High-efficiency microwave planar resonator sensor based on bridge split ring topology. IEEE Microwave and Wireless Components Letters, 27(6), 545–547. Cited by 77.

Bahar, A. A. M., Zakaria, Z., Ab Rashid, S. R., Isa, A. A. M., & Alahnomi, R. A. (2017). Dielectric analysis of liquid solvents using microwave resonator sensor for high efficiency measurement. Microwave and Optical Technology Letters, 59(2), 367–371. Cited by 39.

Alahnomi, R. A., Zakaria, Z., Ruslan, E., Bahar, A. A. M., & Ab Rashid, S. R. (2016). High sensitive microwave sensor based on symmetrical split ring resonator for material characterization. Microwave and Optical Technology Letters, 58(9), 2106–2110. Cited by 39.

Conclusion

Dr. Amyrul Azuan Mohd Bahar has built a strong profile through combined industrial leadership and research productivity in microwave engineering. His citation performance on Google Scholar, Scopus, and ResearchGate reflects sustained academic influence. His professional role at Intel aligns with his research background, enabling him to apply theoretical insights to practical engineering challenges. The range of awards and publications underscores his contributions to sensor design and characterization technologies. His continued involvement in development, validation, and technical training positions him as a key figure in advanced electronics applications across industry and academia.

Academic Background

Shen Tingli completed his undergraduate studies in Navigation Engineering at Naval Aviation University, where he built a strong foundation in aerospace and maritime navigation technologies. He pursued advanced studies in Electronic Information at Naval University of Engineering, focusing on cognitive waveform design for MIMO radar systems. His academic work has been widely cited and is accessible through multiple platforms including Scopus, reflecting a growing recognition in radar signal processing research. His publications and conference documents demonstrate both theoretical innovation and practical applications in multi-target detection, and his h-index underscores the influence of his research contributions.

Research Focus

Shen Tingli’s research centers on cognitive waveform design for MIMO radar systems, with an emphasis on adaptive and intelligent signal optimization. He investigates techniques that improve radar detection performance, enhance multi-target resolution, and reduce interference in complex environments. His work integrates machine learning strategies with classical signal processing, advancing both theoretical frameworks and practical radar applications.

Work Experience

Shen Tingli has applied his expertise in electronic information and radar systems across academic and applied research roles. He has contributed to projects involving waveform design optimization and cognitive radar development, collaborating with interdisciplinary teams to enhance detection capabilities. His experience spans algorithm development, simulation studies, and performance evaluation in advanced radar systems, bridging the gap between theoretical research and engineering implementation.

Key Contributions

Shen Tingli is recognized for developing novel approaches to cognitive MIMO radar waveform design. He has contributed algorithms that improve adaptive detection accuracy and efficiency, particularly in multi-target scenarios. His work has facilitated the integration of gradient-based optimization with genetic algorithms, enabling more effective signal design under varying operational constraints. These contributions provide a foundation for future advancements in intelligent radar systems and defense applications.

Professional Roles & Memberships

He actively participates in scientific and engineering communities, contributing to the development of radar and electronic information research. His professional roles include collaborative research projects, peer review activities, and membership in relevant technical societies, promoting knowledge exchange and innovation within the field.

Impact Statement / Vision

Shen Tingli aims to advance the field of cognitive radar by developing intelligent waveform design methods that enhance detection and operational efficiency. His vision is to contribute to next-generation radar technologies that integrate adaptive learning, robust performance, and multi-target precision, driving innovation in both defense systems and civilian radar applications.