Profiles

Yidan is a Ph.D. student in Computer Science at King Abdullah University of Science and Technology since August 2022, under the supervision of Prof. Wolfgang Heidrich in Computational Imaging Group. Yidan obtained her bachelor’s degree in Measurement and Control Technology and Instrument from University of Science and Technology of China in 2020.

Yidan is interested in developing novel computational imaging systems in both hardware and software.

Yiming Yang is a Ph.D. candidate at the KAUST Integrated Microwaves Packaging Antennas and Circuits Technology Research Group under the supervision of Professor Atif Shamim. Before joining KAUST, Yiming obtained a bachelor's degree in electronic science and technology from the University of Electronic Science and Technology of China (UESTC).

Yiming Yang‘s research interests include frequency selective surfaces, reconfigurable intelligent surfaces, and meta-surfaces in combination with additive manufacturing, time modulation, and other fabrication and reconfiguration methods.

Yousef Awad received his B.Sc. degree in Communication and Networks Engineering from Prince Sultan University, Riyadh, Saudi Arabia, in 2020, and his M.Sc. degree in Telecommunication Engineering from King Fahd University of Petroleum and Minerals (KFUPM), Dhahran, Saudi Arabia, in 2024. He is currently pursuing a Ph.D. in Electrical and Computer Engineering at King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia.

His research interests span various areas of wireless communication systems, including Integrated Sensing and Communications (ISAC), Unmanned Aerial Vehicle (UAV) detection, and applications of Reconfigurable Intelligent Surfaces (RISs). During his M.Sc. studies, he also worked as a Telecommunication Engineer at King Fahd International Airport (KFIA), Dammam, Saudi Arabia, with Enova by Veolia.

Yousef’s research interests span various topics in wireless communication systems, including Integrated Sensing and Communications (ISAC), Unmanned Aerial Vehicle (UAV) detection, and applications of Reconfigurable Intelligent Surfaces (RISs).

Yulian Wu is a Ph.D. candidate in Computer Science at KAUST, advised by Francesco Orabona. She has published in top venues including NeurIPS, ICML, COLT, Science Advances, and AISTATS, and was recognized as a NeurIPS Top Reviewer. She received the Best Presentation Award at the Free Rein Global Youth AI Forum. She is also actively involved in the research community, serving as an Organizing Committee Member and Session Chair for the KAUST Rising Stars in AI Symposium 2025 and 2026.

Yulian's research investigates trustworthy machine learning and interactive decision-making, with a focus on differential privacy, robustness, and heavy-tailed feedback in bandits, reinforcement learning, and RLHF.

• Optical wireless communication.
• Embedded systems.
• Hardware & software co-design.

Zahrah Alnasser obtained her bachelor's degree from Dammam College for Women and her master's degree in pure mathematics from the University of Illinois - Urbana-Champaign.

Real analysis and applied PDEs.

Zhandos Zhakipov received his Bachelor’s and Master’s degrees in Electrical and Computer Engineering from Nazarbayev University, Kazakhstan, in 2022 and 2024, respectively. He is currently pursuing a Ph.D. in the Communications and Computing Systems Laboratory (CCSL) at King Abdullah University of Science and Technology (KAUST), under the supervision of Prof. Ahmed Eltawil.

Zhandos Zhakipov's research interests include reconfigurable intelligent surfaces (RIS), millimeter-wave (mmWave) communication, the Internet of Things (IoT), and digital twins for wireless communication systems.

Zhican Zhou is Ph.D. student at the Integrated Photonics Laboratory under the supervision of Prof. Yating Wan at King Abdullah University of Science and Technology (KAUST). Before joining KAUST, Zhican received his bachelor's degree (majoring in materials engineering) from Chongqing University (CQU) in 2019 and his master's degree (majoring in photonics) from the joint-cultivation program of Nankai University (NKU) and the National Center for Nanoscience (NCNST) in 2022. Zhican ranked in the top ~5% for both his undergraduate and postgraduate studies. He obtained numerous honors for his outstanding performance, including the First Price Scholarship, Outstanding Graduate of Chongqing University, and the Nankai University Freshman Scholarship. During his postgraduate studies, he mastered the skills of fabrication, modelling, and simulation for electronic devices. Zhican had published a total of 7 journals, 4 of which he was the first or co-first author. 

Zhican's research interests are in Silicon Photonics and novel heterogeneous computing hardware system development (including optical computing systems, memristor computing systems, etc.).

Zichun earned his Bachelor's degree in Microelectronics Science and Engineering from Sun Yat-sen University in 2023 and is currently pursuing a Master of Philosophy degree in The Hong Kong University of Science and Technology (Guangzhou). He has been honored with several prestigious awards that highlight his exceptional achievements, including the Excellent Graduation Thesis Award from SYSU (Top 5%), the Meijiayin Scholarship, and the Red Bird Full Postgraduate Scholarship at HKUST(GZ). 

During his postgraduate studies, Zichun has developed strong expertise in the modeling, design and testing of photonic integrated circuits and optoelectronic systems.

Zihang Xiang is a 4th-year Ph.D. candidate at King Abdullah University of Science and Technology(KAUST), advised by Di Wang. His current research is on privacy-preserving data analysis. He is interested in pushing the boundaries of differential privacy via principled approaches in broad machine learning applications.

Differential privacy

Ziling is a doctoral student in Statistics at King Abdullah University of Science and Technology (KAUST), where she is conducting her research under the mentorship of Professor Hernando Ombao in the Biostatistics research group and Professor Ying Sun in the Environmental Statistics research group. Ziling Ma earned her Bachelor's degree in Mathematics and Applied Mathematics from Tianjin Normal University in China. She then furthered her education at KU Leuven in Belgium, where she was awarded a Master's degree in Mathematics. Ziling embarked on her Ph.D. journey in Statistics in August 2023.

Ziling Ma's research interests are situated at the crossroads of time series analysis, robust statistics, and functional data analysis.

Zinan XIAO is a Ph.D. student at Photonics Laboratory at King Abdullah University of Science and Technology (KAUST). 
Before he joined the Photonics Laboratory, he worked as an optical hardware engineer in the industry, focusing on designing and testing optical splitters. 
He received his Master of Science degree at Imperial College London, UK. 
He obtained his bachelor's degree in optoelectronic information engineering at Chongqing University. 

Sensors, Photonics and optoelectronics

Bachelor's degree from Wuhan University.

Edge computing, federated learning, machine learning systems, and resilient computing.

Abdul-Lateef Haji-Ali is an associate professor in the Maxwell Institute for Mathematical Sciences and the School of Mathematical and Computer Sciences, Heriot-Watt University. He obtained his PhD in Applied Mathematics in 2016 from King Abdullah University of Science and Technology (KAUST).

Selected Publications

• A.-L. Haji-Ali, H. Hoel, and R. Tempone​, Weak convergence analysis in the particle limit of the McKean–Vlasov equations using stochastic flows of particle systems, The IMA Journal of Applied Mathematics (2025).​​ DOI: 10.1093/imamat/hxaf015.
• M. B. Giles and A.-L. Haji-Ali. Multilevel Path Branching for Digital Options In: Annals of Applied Probability 34.5 (2024), pp. 4836–4862. ISSN: 1050-5164. DOI: 10.1214/24-AAP2083.
• M. B. Giles and A.-L. Haji-Ali. Multilevel Nested Simulation for Efficient Risk Estimation. In: SIAM/ASA Journal on Uncertainty Quantification 7.2 (Jan. 2019), pp. 497–525. ISSN: 2166-2525. DOI: 10.1137/18m1173186.

Abdul-Lateef's research interests include Uncertainty Quantification, Numerical Analysis, Machine Learning, Stochastic Differential Equations, Numerical methods for SDEs and SPDEs, Multilevel Monte Carlo methods, Particle systems, Crowd modeling, Mean-field theory, Sparse Grids, Combination techniques, Multi-index techniques, and Inverse problems.

Abdullah obtained his master's degree in Electrical and Computer Engineering from KAUST in 2021 and his bachelor's degree from The University of Jordan in 2020. During his engineering studies, he did research in wireless sensor networks and cognitive radio. In 2024, Abdullah won the best paper award at the Global Advanced Air Mobility Academic Paper competition, organized by the International Civil Aviation Organization (ICAO).

Abdullah's current research interests include stochastic geometry modeling, and flying platforms.

Abdullah Bukhamsin received his B.Sc. degree in Bioengineering from Rice University (Houston, Texas) in 2018. Following that, he completed his M.Sc. degree in Electrical Engineering from King Abdullah University of Science and Technology (Thuwal, Saudi Arabia) in 2020 under the supervision of Dr. Jurgen Kosel. In 2025, he completed his PhD degree in Bioengineering from King Abdullah University of Science and Technology (Thuwal, Saudi Arabia) under the supervision of Dr. Khaled N. Salama and co-supervision of Dr, Ikram Blilou.

Abdullah is interested in developing scalable micro-fabrication methods for 3D electrodes for electrochemical sensors pertaining to applications centered on physiological monitoring of biomarkers.