Profiles

Students

Research Interests

Research Interests

Motasem is interested in computer vision, machine learning, and continual learning.

Education
Bachelor of Science (B.S.)
Electrical Engineering, Kuwait University, Kuwait, 2018
Master of Science (M.S.)
Electrical and Computer Engineering, King Abdullah University of Science and Technology (KAUST), Saudi Arabia, 2020
Biography

I am  a dedicated Saudi female researcher with a strong background in numerical analysis. My academic journey began with a Bachelor of Mathematics from King Faisal University, where I graduated with honors. Supported by the prestigious King Abdullah Scholarship Program (KASP), I pursued my Master's in Applied and Computational Mathematics at Old Dominion University, USA, followed by a graduate certificate in modeling and simulation.

Currently, I am a PhD candidate in Applied Mathematics and Computational Sciences at King Abdullah University of Science and Technology (KAUST), supervised by Professor Daniele Boffi. I am honored to have received a full governmental scholarship from the Royal Commission of Jubail and Yanbu. I have achieved recognition on the dean's list of top students in the CEMSE Division at KAUST. Alongside my studies, I am actively involved as president of the SIAM Student Chapter at KAUST.

Research Interests

I am interested in researching the numerical approximation of partial differential equations, specifically

in relation to fluid dynamics and interface problems such as fluid-structure interactions. My expertise

lies in finite element methods and mixed finite elements.

Biography

Neil is a MS/Ph.D student in Electrical and Computer Engineering at KAUST. He holds a Bachelors of Science in Computer Engineering with a specialization in Microelectronics and Embedded Systems at the Ateneo de Manila University in the Philippines. He has experience both in academia, with publications involving areas in Brain-Computer Interfaces and Embedded AI Applications, and in industry having interned for companies like Western Digital and Ateneo Innovation Center.

Research Interests

His research interests and areas of expertise involve Computer Architecture, Cyber-Physical Systems, Sensors and Embedded Systems, Artificial Intelligence, FPGA, and Software Engineering

Biography

Olga Krestinskaya received her M.Sc. and B.S. degrees from Nazarbayev University in 2016 and 2018. Olga was working as a Teaching Assistant (2017-2018) and Research Assistant (2016-2019) and was involved in several projects connected to hardware implementation of neuromorphic architectures. In 2018, Olga was undergoing a research internship under the Erasmus Student Mobility Program in  FCT/UNL NOVA University in Portugal. In 2017 and 2019, Olga was an intern in Kaust under the supervision of Prof. Khaled Salama.

Olga is the recipient of the 2019 IEEE CASS Pre-doctoral award. She has published several high quality works in the area of analog memristive neural network designs including CNN, LSTM, BNN and HTM. She is a reviewer and author to several top IEEE journals and conferences.

Biography

I am a PhD student of computer science in Bio-Ontology Research Group under the supervision of Professor Robert Hoehndorf interested in mathematical and programming applications to natural sciences. In 2023 I graduated from Moscow State University, Faculty of Mechanics and Mathematics, Department of Mathematical Logic and Theory of Algorithms. In 2021 I acquired a second degree in the field of algorithmic bioinformatics. From 2020 to 2023 I worked as a research assistant in Ivannikov Institute for System Programming of the Russian Academy of Sciences; my research there was related to ECG signal classification with deep learning techniques and ECG delineation.

Research Interests

My current research interests are related to the development of ontology embedding methods and knowledge-enhanced learning with application to natural sciences.

Education
Specialization diploma
Mathematics, Lomonosov Moscow State University, Russian Federation, 2023
Diploma
Algorithmic Bioinformatics, Bioinformatics Institute, Russian Federation, 2021
Research Interests

 AI, IoT, Wireless Communications.

Education
Bachelor of Engineering (B.Eng.)
Electrical and Electronic Engineering, King Fahd University of Petroleum & Minerals (KFUPM) , Saudi Arabia, 2022
Research Interests

Control systems and power systems engineering. Modeling, simulation, analysis and design of solutions applied to power system stability and control. Optimal and data-driven approaches to the integration of renewable energy resources.

Education
Bachelor of Science (B.S.)
Electrical Engineering, Sao Paulo State University (Unesp), Brazil, 2019
Master of Science (M.S.)
Electrical and Computer Engineering, King Abdullah University of Science and Technology (KAUST), Saudi Arabia, 2020
Biography

Rajat Kumar is a Ph.D. student at the Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia. He received the Bachelor of Technology degree in Electronics and Communication Engineering from the National Institute of Technology (NIT) Hamirpur, India, in 2019 and the Master of Technology degree in Electrical Engineering with a specialization in Very Large Scale Integration (VLSI) from the Indian Institute of Technology (IIT) Mandi, India, in 2021.

Research Interests

His research interests encompass energy harvesting, nanoelectronics, beyond-CMOS devices, and VLSI design.