Profiles

Sofiane Ben Mbarek received his B.S. degree in Electronic Signals and Systems from Toulon University, Toulon, France, in 2006 and his M.S. degree in Telecommunications and Microelectronics from Nice-Sophia-Antipolis University, Nice, France, in 2007. He obtained his Ph.D. in Engineering Sciences and Microsystems from Franche-Comté University, Besançon, France, in 2011. Before joining KAUST, he was a postdoc at the Centre for Quantum Materials and Technologies, Queen’s University, Belfast, UK. He has research and teaching experience in various universities and companies. His research and interests include magnetic sensors, electromagnetic compatibility, multiphysics modeling, and nanofabrication.

• Magnetic Sensors 
• Electromagnetic Compatibility
• Multiphysics Modeling
• Micro and Nanofabrication

Wahyu Hendra Gunawan currently a Postdoctoral Fellow at Photonics Laboratory in the Division of Computer Electrical and Mathematical Sciences & Engineering (CEMSE) at King Abdullah University of Science and Technology (KAUST). He earned his B.S. and M.S in Physics at Institut Teknologi Sepuluh Nopember, Indonesia, in 2012 and 2014, respectively. In December 2022, he earned his P.hD. from Department of Photonics at National Yang-Ming Chiao-Tung University (NYCU), Taiwan, with research focus on Enabling Techniques for Optical Wireless Communication and Optical Fiber Communication Systems. He has over 15 authored/co-authored publication in peer-reviewed journals and conference proceedings. He also serving the scientific community as reviewers for several international journals, such as: Drones, Applied Sciences, Sensors, IEEE System Journal, IEEE Access and Photonics.

Optical Systems and Communications, Wireless Optical Sensing

• GNSS Localization.
• Attitude Determination.

Abdelrahman Fatouh is an electrical and computer engineering master’s student at KAUST started in 2025, specializing in embedded systems, AI, and IoT. He holds a B.Sc. in Computer Engineering from King Saud University (2024) and has industry experience developing robotics and intelligent systems at multiple technology start-ups. His recent work includes EEG-based humanoid robot control for disabled people.

• Embedded systems
• AI
• TinyMl,
• IoT
• Digital hardware design

Abdullah Alquwayzani is a Ph.D. student at the Photonics Lab in the Electrical and Computer Engineering Department at King Abdullah University of Science and Technology (KAUST.) He received his M.S. degree from KAUST in 2022 with a thesis in characterizing the power consumption of a flexible system-on-chip. He recieved his B.S. degree in Electrical Engineering from Texas A&M University in 2020.

Optoelectronics

Abdullah Alshehri is a Ph.D. candidate in the Electrical and Computer Engineering (ECE) department at the Integrated Circuit and System (ICS) Research Group at King Abdullah University of Science and Technology (KAUST). 

Alshehri received his Bachelor of Science degree in Electrical and Electronics Engineering from the University of Brighton in the United Kingdom in 2014. In 2016, he earned his master's degree in Electrical Engineering (Electro-physics) from KAUST in Saudi Arabia.

Alshehri's research focuses on designing low-power, high-speed CMOS interface circuits for sensors. He has published over 10 papers and obtained a patent. Throughout his academic and professional journey, Alshehri has gained valuable experience from positions at companies such as STC, Digital Network, ARAMCO, SEMC, Umm Al Qura University, and KAUST.

Abdullah's research interests focus on the design of low-power, high-performance interface circuits for advanced applications. Specific areas of focus include:

1. Low-power, high-speed CMOS interface circuit design:
   • Developing energy-efficient amplifiers, filters, and other analog building blocks
   • Optimizing circuit topologies and techniques to improve power, speed, and linearity
2. High-performance analog comparators:
   • Designing low-offset, low-noise comparator circuits
   • Enhancing comparator speed and resolution for precision applications
3. Energy-efficient digital logic circuits:
   • Implementing compact, low-power digital logic blocks and controllers
   • Exploring circuit techniques to minimize dynamic and static power consumption
4. High-speed, low-power analog-to-digital converters (ADCs):
   • Advancing ADC architectures and circuit designs to improve power consumption and conversion rates
   • Reducing the design complexity of high-performance ADC

• Developing Biosensors to detect biomarkers for cancer and other ailments.
• Studying electrochemical characteristics of various materials, polymers and films.
• Designing wearable, point-of-care, biotech medical devices.
• Utilizing machine learning to aid in sensing and data interpretation.

• Neuromorphic engineering
• spiking neural network

Deep Learning , Near-Field Communication, Array Signal Processing

• Robotics
• Self-Assembly
• Control
• 3D Printing
• Modeling

Arturo is a Ph.D. candidate in Electrical and Computer Engineering at the Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division of King Abdullah University of Science and Technology (KAUST). Following his participation in the KAUST's 2017 Photonics Summer Camp, he started his graduate studies at KAUST in August 2018. Prior to his graduate studies he earned B.Sc. in Engineering Physics from Instituto Tecnológico y de Estudios Superiores de Monterrey (Mexico) in 2017, and conducted a research intership in the Nuclear Sciences Institute (ICN) of the Universidad Nacional Autónoma de México in 2016.

Arturo is the co-founder of Pixeltra Inc., a startup company specializing in multidimensional imaging solutions through metasurfaces. He actively serves as a reviewer for Nature Communications, and has authored ten publications in high-impact factor journals during his Ph.D. He received the Academic Excellence award from KAUST in 2022 and 2023, and was awarded 2nd place at the 2019 Falling Walls international pitching competition.

Arturo's research focuses on the design and fabrication of optical metasurfaces, emphasizing practical applications in remote sensing and hyperspectral imaging.

Aznaur obtained his bachelor's degree in Applied Mathematics and Physics from Moscow Institute of Physics and Technology in 2023. He joined KAUST in 2024 to pursue his MS and PhD degrees.

Deep Learning, Computer Vision, Reinforcement Learning.

My undergraduate and graduate education at the University of Waterloo coupled with a variety of internships and a full-time role solidified my interest and background as a multidisciplinary hands-on mechatronics engineer.

I'm interested in finding mechatronic solutions and taking them from problem to a functional proof-of-concept. I developed a dynamic weighing machine during my master's and currently a novel hybrid-flight mode unmanned aerial system as a PhD Candidate.