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.

Shyam Mohan Subbiah Pillai is a remote postdoctoral researcher in the Stochastic Numerics group, specializing in stochastic optimal control, uncertainty quantification, and numerical methods for stochastic differential equations. He earned his Ph.D. in Mathematics from RWTH Aachen University, where his work focused on the development and analysis of computational methods for chance-constrained stochastic control problems and rare-event simulation. 

Shyam's research interests include Monte Carlo methods for rare events, numerical methods for McKean—Vlasov SDEs, and optimal control problems in engineering.

Education Profile
Bachelor's degree in Electrical Engineering from the University of Hail and is currently pursuing his Master's degree in Electrical and Computer Engineering at KAUST. 

• Localization.
• Machine Learning.
• GNSS
• Riemannian Optimization

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

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