Profiles

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.

• Wireless communication.
• Signal processing.
• Biomedical signal processing.
• Indoor localization .
• Machine learning 

• Python.
• Machine Learning.
• Data Analysis.
• Artificial Intelligence.

Gowthambabu Vellingiri is a Visiting Scholar at Photonics Laboratory in the Division
of Computer Electrical and Mathematical Sciences & Engineering (CEMSE) at King
Abdullah University of Science and Technology (KAUST).
He is a Ph.D. scholar in Physics at Centre for Nanoscience and Nanotechnology,
Department of Physics, Bharathidasan University, Tiruchirappalli, Tamil Nadu, India.
His current research focuses on identifying suitable catalysts for electrochemical and
photoelectrochemical N2 reduction, CO2 Reduction reactions, and their scaling-up
processes.

• Green and Clean Energy
• NO 3 /N 2 /CO 2 reduction reaction
• Photo-electrochemistry of Nitride Semiconductors

• Software Development .
• IoT.
• Machine learning .

• Indoor localization.
• Wireless monitoring.
• Ultrasound.