Profiles

Postdoctoral Fellows

Xing Liu

Postdoctoral researcher in Electrical and Computer Engineering at King Abdullah University of Science and Technology (KAUST)
Research Interests
  • GNSS Localization.
  • Attitude Determination.
Education
Doctor of Philosophy (Ph.D.)
Electrical Engineering, King Abdullah University of Science and Technology (KAUST), Saudi Arabia, 2023
Master of Science (M.S.)
Information and Communication Technology, University of Chinese Academy of Sciences (UCAS), China, 2017
Bachelor of Engineering (B.Eng.)
Electrical Engineering, China University of Petroleum (East China), China, 2014

Students

Abdullah Alshehri

My research focuses on designing efficient interfaces between the analog and digital domains through the development of low-power, high-performance CMOS interface circuits. The interface circuit encompasses key components such as amplifiers, filters, comparators, analog-to-digital converters (ADCs), each of which must be carefully optimized to meet the specific requirements of the target application. By addressing the challenges in analog-digital interfacing, this work aims to contribute to the advancement of integrated circuits and systems that can seamlessly connect real-world analog signals to their digital counterparts, with potential applications in sensor interfaces, data acquisition systems, and mixed-signal electronics. The research involves circuit design, simulation, integration, and experimental evaluation to create novel interface circuit topologies and techniques that improve power efficiency, speed, and overall performance.
Biography

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.

Research Interests

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
Education
Master of Engineering (MEng)
Electrical and Computer Engineering, King Abdullah University of Science and Technology (KAUST), Saudi Arabia, 2016
Bachelor of Engineering (B.Eng.)
Electrical and Electronic Engineering, University of Brighton, United Kingdom, 2014

Abdulrahman Aljedaibi

Electrical Engineering PhD student at CEMSE, King Abdullah University of Science and Technology (KAUST).
Research Interests
  • 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.
Education
Bachelor of Engineering (B.Eng.)
Electrical Engineering, Dalhousie University , Canada, 2018
Master of Engineering (MEng)
Electrical Engineering, King Abdullah University of Science and Technology (KAUST) , Saudi Arabia, 2020

Abdulwahab Felemban

Ph.D. Student, Electrical and Computer Engineering CEMSE, King Abdullah University of Science and Technology (KAUST),completed MSc under the supervision of Prof. Tareq Al-Naffouri.
Research Interests
  • Digital signal.
  • Image processing.
  • Machine learning
  • Wireless communications
Education
Master of Engineering (MEng)
Electrical Engineering, KAUST (King Abdullah University of Science and Technology), Saudi Arabia, 2023
Bachelor of Engineering (B.Eng.)
Electronics and Communications Engineering, King Fahd University of Petroleum & Minerals, Saudi Arabia, 2020

Adilya Bakambekova

PhD student at ISL group (Information Science Lab) , King Abdullah University of Science and Technology | KAUST · Department of Electrical Engineering
Research Interests
  • Neuromorphic engineering
  • spiking neural network
Education
Bachelor of Engineering (B.Eng.)
Electrical and Electronic Engineering, Nazarbayev University, Kazakhstan, 2020

Ahmad Sait

Ahmad Sait is a Master's student in the Computer Science program at KAUST. Before joining KAUST, Ahmad obtained his Bachelor's degree in Computer Science from King Abdulaziz University, Saudi Arabia. Ahmad is also a KAUST Academy graduate from the AI track, having been under the supervision of Prof. Naeemullah Khan. The Academy provided him with seven opportunities to assist in teaching students enrolled in subsequent cohorts.
Research Interests

Computer Vision, Edge Machine Learning, Generative Modeling.

Education
Bachelor
Computer Science, King Abdulaziz University, Saudi Arabia, 2024

Ahmed Hussain

Ahmed Hussain, (Member, IEEE) received his B.E. degree in Avionics Engineering from NUST University, Islamabad, Pakistan, in 2014 and his M.S. in Avionics Engineering from Aerospace and Aviation Campus, Kamra, Pakistan. Currently, he is pursuing a PhD degree at KAUST, Thuwal, KSA. His research interests include deep learning-enabled near-field communication, digital array signal processing, and wireless communication.
Research Interests

Deep Learning , Near-Field Communication, Array Signal Processing

Aleksandar Cvejic

Aleksandar Cvejic is a Computer Science Ph.D. student at the Visual Computing Center (VCC) in King Abdullah University of Science and Technology (KAUST) under the supervision of Professor Peter Wonka in his research group.
Biography

Aleksandar Cvejic obtained his bachelor with honors in electrical and computer engineering from University of Novi Sad in 2019. After which, he continued to pursue master’s degree at the same university while specializing in artificial intelligence and obtaining the degree in 2021. During his master studies, he also worked as a TA for several courses, including Algorithms and data structures, Fundamental of information systems and software engineering, Xml and Web Services, Numerical algorithms and numerical software, basics of computing.

Research Interests

Aleksandar Cvejic is interested in topics related to deep learning, machine learning and computer vision.

Aljawharah Alsharif

Aljawharah Alsharif is a PhD student in Electrical and Computer Engineering and a member of the Smart, Advanced Memory Devices and Applications lab (SAMA) at King Abdullah University of Science and Technology, Saudi Arabia. She is passionate about shaping the future of wearable devices, flexible and soft electronics, sensors, and actuators through 4D/3D printing.
Education
Master of Science (M.S.)
Electrical and Computer Engineering, King Abdullah University of Science and Technology (KAUST), Saudi Arabia, 2022
Bachelor of Science (B.S.)
Electrical and Computer Engineering, King Abdulaziz University (KAU), Saudi Arabia, 2021