Profiles

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.

Marta obtained her M.S. in Arts in Pedagogical Univesity of Cracow in Poland in 2006. In years 2004 - 2005 she studied in Aalto University of Art and Design in Helsinki, Finland. Later on, Marta, obtained further qualification in Audiovisual Communication in Vocational Adults Education Center, Espoo in Finland. Prior to joining KAUST she worked as a freelance graphic designer for University of Helsinki, for Metropolia University of Applied Sciences in Helsinki, Finland, and for private customers in Finland and Poland. I am an active art painter and I held many art exhibitions (solo and group) in Poland, Finland and KSA.

Marta joined KAUST in August 2014 and worked as a graphic designer in the Presidents Office, at KAUST Marketing and Communication Office, and since September 2017 for CEMSE Division. 

Detail-oriented and results-driven Graphic Designer producing high-quality graphics, illustrations and layouts for websites, social media, and print. I've been working with scientific disciplines, efficiently expressing complex data and ideas through deliverables like scientific posters and presentations, infographics, animations, and other visual aids that can make scientific concepts more engaging and accessible to non-experts.

Video Producer with a solid working knowledge in supporting vertical content teams, assembling and editing footage, maintaining fluid storylines, and selecting the desired camera angles. Skilled in performing color grading, trimming, integrating transitions, and incorporating voiceover and audio elements.  

Hans Montcho is a Postdoctoral Fellow researcher in the  Bayesian Deep Learning group.  He holds a PhD in Statistics from KAUST and an MSc in Statistics from  the Federal University of São Carlos and the University of São Paulo. Before that,  he also worked as a data scientist for a global credit bureau.

His current research focuses on developing scalable probabilistic methods for complex statistical and machine-learning problems.

His research focuses on  Bayesian computation, spatial statistics, latent Gaussian models, model assessment,  uncertainty quantification and more recently on Bayesian deep learning. 

I hold a Bachelor’s degree in Mechatronic Engineering from Universidad Autónoma de Bucaramanga, a Master’s in Artificial Intelligence and Robotics from the International University of Applied Sciences in Germany, and am pursuing an M.Eng. in AI at the University of Cincinnati. My early career combined machine learning engineering and software development, leading projects in computer vision, NLP, and robotics. I have contributed to AI solutions in retail, UAV systems, and edge devices, and authored professional courses on neural networks and computer vision.

My research interests include computer vision, deep learning, and AI for robotics. I focus on developing perception and reasoning systems for real-world applications, such as retail analytics, UAV navigation, and edge computing. I am also interested in reinforcement learning and multimodal AI systems that combine visual, thermal, and language data.