Profiles

• Nanofabrication of Semiconductors
• N/MEMS design and dynamics
• Control Theory
• Vibration
• Mechatronics

Yue Wang is a Ph.D. candidate at the Photonics Laboratory at King Abdullah University of Science and Technology (KAUST), under the mentorship of Prof. Boon S. Ooi. She earned her B.Eng. in Electronic Science and Technology from the University of Electronic Science and Technology of China (UESTC) in 2020. She received her master's degree in Electrical Engineering from KAUST in 2021.

Yue Wang's research focuses on semiconductor optoelectronics, high-speed color-converting luminescent devices, and optical wireless communication. She specializes in characterizing color-converting materials, designing and fabricating luminescent optoelectronic devices, and developing optical wireless communication systems.

Yue Wang has explored emerging luminescent materials such as perovskites, metal-organic frameworks (MOFs), and organic fluorophores, enabling Gb/s visible light communication and wavelength-division multiplexing with enhanced channel capacity. To relieve the stringent requirements of pointing, acquisition, and tracking in underwater optical wireless communication channels, she employed scintillating fibers and luminescent solar concentrators for wide field-of-view, high-speed photodetection. Her work also extends to optical amplification, where she has developed a high-gain visible-light amplifier based on perovskite quantum dots, potentially addressing the optical loss during long-distance optical data transmission.

Zhengying Lou is a Ph.D. student at King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia. She received her B.S. degree in Communication Engineering from University of Electronic Science and Technology of China in 2021. In 2022, she received her M.Sc. degree in Electrical and Computer Engineering from KAUST. Her current research interests include stochastic geometry and wireless networks.

Zhengying Lou's research interests include Unmanned Aerial Vehicle and Optimization.

Zhiyuan Liu earned his Ph.D. in Electrical and Computer Engineering from King Abdullah University of Science and Technology (KAUST) in 2025. His doctoral research was conducted in the KAUST Advanced Semiconductor Laboratory under the supervision of Professor Xiaohang Li.

Liu’s work focuses on the design, fabrication and performance optimization of III-nitride optoelectronic devices, including micro-LEDs, deep ultraviolet LEDs and ultraviolet photodetectors. His research emphasizes device structural design, physical modeling, micro- and nanofabrication, and surface and interface engineering to improve efficiency, reliability and scalability.

During his time at KAUST, Liu developed an etching-free fabrication approach for ultra-small micro-LEDs based on selective thermal oxidation. This work was recognized with the International Solid State Lighting Alliance’s 2025 Global SSL Award of Innovations Top 100, highlighting its contribution to improving device efficiency, stability and manufacturability.

Liu has authored more than 30 SCI-indexed journal publications, including 10 first-author papers in leading journals such as Light: Science & Applications, Optics Letters and Journal of Materials Chemistry C.

He is currently a professor at the Suzhou Institute of Nano-Tech and Nano-Bionics (SINANO), Chinese Academy of Sciences, where he continues to advance research on micro-LED technologies and III-nitride optoelectronic devices.

Zipei Geng completed his undergraduate education in 2019 with a Bachelor of Science in Statistics from Shandong University, alongside a dual Bachelor of Science with Honours in Statistics from The University of Manchester. He subsequently pursued a Master of Science in Statistics at ETH Zurich (Eidgenoessische Technische Hochschule Zuerich) from 2019 to 2022, where his studies concentrated on variable selection and high-dimensional statistics. Currently, he is pursuing his doctoral studies as a PhD candidate in Statistics at King Abdullah University of Science and Technology, working under the guidance of Prof. Marc G. Genton.