Profiles

Hang Lu is a final-year Ph.D. student in Electrical and Computer Engineering at King Abdullah University of Science and Technology (KAUST), working in the Photonics Laboratory under the supervision of Prof. Boon S. Ooi. Hang has published in Light: Science & Applications, npj Nanophotonics, and APL Photonics, with her work featured as a cover article in the IEEE Journal of Selected Topics in Quantum Electronics. She also has experience in designing augmented-reality (AR) display systems and is broadly interested in advanced photonic integration and device–application co-design.

Hang's research focuses on engineering optoelectronic devices and photonic integration circuits for applications in optical communication, illumination, and hardware security. She has hands-on experience in optical design and modeling, nanofabrication, and experimental device prototyping, and has led the development of integrated optoelectronic devices and chips for secure and scalable photonic applications.

Janet van Niekerk is a Research Scientist in the Bayesian Computational Statistics and Modeling group. She works on Bayesian methods including prior construction and computational framework development for various applications, with a focus on Biostatistics.

Efficient Bayesian methods for practical implementation, statistics for medical applications, complex survival analysis, INLA.

Juan M. Marin is a Doctoral Candidate in Electrical Engineering at King Abdullah University of Science and Technology (KAUST). He received his B.S. degree in Electrical Engineering from the National University of Colombia in 2021. He is currently a postgraduate researcher with KAUST Photonics Laboratory.

His research focuses on the development of Integrated Sensing and Communications (ISAC) as a fundamental asset for the next generation of fiber-based telecommunication networks, endowing optical fibers with multi-parameter sensing and pattern recognition capabilities enabled by machine learning algorithms. In addition to this, his work envisions incorporating fiber optics into the Internet of Things (IoT) by enabling simultaneous power delivery and energy harvesting in fiber-optic networks.

Fiber-optic sensors; Optical Networks; Applied Machine learning; Signal Processing

Junshu Jiang is a Ph.D. candidate in Statistics in the Stochastic Processes and Mathematical Statistics (StochProc) research group at King Abdullah University of Science and Technology (KAUST), supervised by Prof. David Bolin. He obtained a B.S. in Biological Sciences from the South China Agricultural University (SCAU) in 2018, and an M.S. in Computer Engineering (in Artificial Intelligence) from the KU Leuven (KUL) university in 2022.

Junshu's research focuses on statistical modeling of financial extremes, stochastic volatility modeling, and causal discovery in extreme environments.