Topics

<> machine learning (26)

Bushra Bin Hemid

M.S. Student
MSc/PhD candidate in Artificial Intelligence at KAUST. Expertise in AI and information security. Research focuses on AI for infrared imaging, transforming sensing technologies for healthcare, agriculture, and smart infrastructure

Echo Ziyi Yang

Ph.D. Student

Ting Li

Postdoctoral Research Fellow, Environmental Science and Engineering
Ting Li is a Postdoctoral Research Fellow focusing her research on bridging the gap between complex data and real-world agricultural impact.

Yanda Meng

Assistant Professor, Bioengineering
Yanda Meng designs AI models to improve medical imaging and clinical decision-making.

Anwar Alshaibani

Anwar Alshaibani > Appointments, Roles and Affiliations
Visiting student at King Abdullah University of Science and Technology (KAUST).

Racha Zayni

Visiting Researcher, Information Science Lab
Visiting student at King Abdullah University of Science and Technology (KAUST).

Yimeng Chen

Postdoctoral Research Fellow, Computer Science
Yimeng Chen is a Postdoctoral Researcher in Prof. Jürgen Schmidhuber's research group at King Abdullah University of Science and Technology (KAUST).

Nanbo Li

Postdoctoral Research Fellow, Computer Science
Nanbo Li is a Postdoctoral Fellow working in Prof. Jürgen Schmidhuber research group at the King Abdullah University of Science and Technology (KAUST) Center of Excellence for Generative AI.

Omar Ahmed

M.S. Student, Bioengineering
Omar Ahmed is an MS student in the Bioengineering department at KAUST. His research explores the mechanisms that enable brain signal generalisability across individuals, addressing how neural activity patterns can be reliably interpreted despite significant inter-subject and temporal variability. A major challenge in neuroscience is that brain activity varies substantially between people and even within the same person over time, which limits the development of universal diagnostic and therapeutic tools. Towards this goal, Omar is developing deep learning models that can identify consistent
KAUST-CEMSE-CS-VISION-CAIR-Dalal-Aldossary

Dalal E. Aldossary

M.S. Student, Computer Science
Dalal Aldossary is a Master’s student in Computer Science at KAUST. She is part of the VISION-CAIR and the Neuroscience & AI Lab (NAIL), where she works on developing machine learning models that interpret and learn EEG representations and behavior.

Zakaria El Kassimi

KAUST offers a unique environment where applied mathematics and data science meet real-world impact, with exceptional resources and a supportive community for ambitious research.

Jonathan Klein

Research Scientist, Computer Science
My fields of research interests include computational simulation, plant simulation and modeling, synthetic training data, machine learning architectures, none-line-of-sight imaging, and computational photography.

Yibin Wang

Keep Moving forward

Andrea Vanessa Rocha

Research Specialist, Statistics
Chengjie zhao

Chengjie Zhao

Visiting Researcher, Information Science Lab
Visiting Student, King Abdullah University of Science and Technology

Mohamed Ads

Visiting Student, King Abdullah University of Science and Technology

Hayssam Dahrouj

Senior Research Scientist at KAUST (King Abdullah University of Science and Technology)

Karen Sanchez

Postdoctoral Research Fellow
Karen Sanchez is a Postdoctoral Researcher in the IVUL lab at KAUST, specializing in deep learning, machine learning, and artificial intelligence (AI) for healthcare applications. Her research focuses on video understanding, domain adaptation, generative AI, and methods for preserving patient privacy.

Hani A. Al Majed

M.S. Student
Electrical and Computer Engineering Master's student at KAUST under the supervision of Professor Bernard Ghanem, with expertise in machine learning workflow automation, physics-informed neural operators, and AI for Science, particularly in chemistry applications. Passionate about leveraging AI to solve complex scientific problems.

Ahmad Sait

M.S. Student, Computer Science
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.

Saleh AlJazzar

Research Fellow at King Abdullah University of Science and Technology (KAUST) .

Muhammad Esmat

Visiting student at, King Abdullah University of Science and Technology (KAUST).

Yasser Jaber

Visiting Student Researcher ,Machine Learning Engineer at KAUST (King Abdullah University of Science and Technology).
Syed Abidullah Fareed

Syed Abidullah Fareed

Visiting Student (former), Information Science Lab

Ahsan Mehmood

Intern (former), Information Science Lab
Visiting student at King Abdullah University of Science and Technology (KAUST).

Abdulkarem Badiea Alshaibani

MS Student at the Information Science Lab at the King Abdullah University of Science and Technology (KAUST).
<> robotics (15)

Model Predictive Control and Imitation Learning Algorithms for Robot Motion Planning in Physical Human-Robot Interaction

-

B9 R2325

This seminar presents a framework for safe and efficient human-robot workspace sharing by using Deep Neural Networks (DNN) and safety filters to rapidly imitate computationally heavy Nonlinear Model Predictive Control method (NMPC), with successful experimental validation on a UR5 manipulator.

KAUST’s new Robotics Bay advances the Kingdom’s robotics and AI capabilities

1 min read ·
KAUST launches the Robotics Bay — a 1,000 m² facility advancing Saudi Arabia’s robotics and AI innovation under Vision 2030.

Advancing robotics for a safer, smarter future

4 min read ·
From smart manufacturing to marine monitoring, KAUST Assistant Professor Shinkyu Park is powering Saudi Arabia’s robotics and automation ambitions

Aigerim Nurbayeva

Postdoctoral Research Fellow, Electrical and Computer Engineering

KAUST Robotics Bay Inauguration

-

B5 L2 R2800

Join us for the Robotics Bay inauguration at KAUST.

KAUST developing robotic system to improve date palm harvesting

1 min read ·
Combination of AI and robotics positions Saudi Arabia to transform date farming.

The KAUST Research Conference on Robotics and Autonomy 2022

-

B19 H1

KAUST Robotics, Intelligent Systems and Control Lab (RISC Lab) will host the KAUST Research Conference on Robotics and Autonomy 2022 (#RobotoKAUST) from February 28 until March 2, 2022. The conference will address the most recent trends of robotics application in a range of disciplines. To attend RobotoKAUST Gala, please, read more about the event and follow the event registration instructions.

The KAUST Research Conference on Robotics and Autonomy 2022 #RobotoKAUST

1 min read ·
Building upon our successful online conference in spring 2021, the KAUST Robotics, Intelligent Systems, and Control Lab (RISC Lab) will host the KAUST Research Conference on Robotics and Autonomy 2022 (#RobotoKAUST2022) from February 28 until March 2, 2022. The conference will address the most recent trends of robotics application in a range of disciplines.

Professor Park receives O. Hugo Schuck Best Paper Award at the 2022 American Control Conference

1 min read ·
Professor Shinkyu Park has been awarded the 2022 O. Hugo Schuck Best Paper Award (Theory) from the American Automatic Control Council (AACC) for his paper investigating a new mathematical framework to study decision making in multi-agent systems.

Shinkyu Park

Professor Park advances robotic science by building on individual robots’ core sensing, actuation and communication capabilities in distributed information processing, decision-making and manipulation.

Nojood Almayouf

Nojood Almayouf is a Graduate Research Assistant in the Distributed Systems and Autonomy (DSA) Lab within the Robotics, Intelligent Systems and Control (RISC) Research Initiative. Education M.S. in Electrical Engineering, KAUST, Saudi Arabia (Aug 2017 - Dec 2019). Visiting graduate student, Stanford University, United States (Jun 2017 - Aug 2017). B.S. (with first honor) in Electrical and Computer Engineering, Effat University, Saudi Arabia (Jan 2013 - Jun 2017). Professional Profile Graduate Teaching Assistant for ECE 271A/ME 221A: Linear Control Systems Course, KAUST (Aug 2022 - Dec 2022)

Norah Alghamdi

Education 2021.07 - Present Ph.D. Student in Electrical and Computer Engineering, KAUST, KSA 2018.08 - 2021.06 M.S. in Electrical and Computer Engineering, KAUST, KSA 2013.08 - 2018.07 B.S. in Electrical and Computer Engineering, King Abdulaziz University, KSA Selected Publications N.K. Alghamdi, D.A. Shamma, J.S. Shamma, "Analyzing the Passivity of the Human Decision Making Rule in a Congestion Game Experiment" 2022 IEEE American Control Conference (ACC), 4826-4831, (2022). Areas of Expertise and Research Interests ​Game Theory Multi-robot Systems Robotics Human-robot Interaction

Jun Chen

Postdoctoral Research Fellow, Electrical and Computer Engineering
Dr. Jun Chen received his Ph.D. degree in mechanical engineering from Temple University, USA in 2021, and his M.S. degree in electrical and computer engineering from Stevens Institute of Technology, USA in 2017. Before that, he received his B.S. degree from Hefei University of Technology, China in 2015. His research interests lie in robotics, distributed multi-robot systems, robot learning, etc.

Aslihan Kartci

Postdoctoral Research Fellow, Electrical and Computer Engineering
Education and Early Career Dr. Aslihan Kartci received her Ph.D. degree in Electronics from the Brno University of Technology, the Czech Republic in 2019 and M.S. degree from Yildiz Technical University, Turkey, in 2015. She was with the Research and Development Center of Komax Wire, Turkey from 2012 to 2014, engaged in software development of production planning systems, server management, project management for functional test machines. She was awarded with “Travel Grant” from IEEE flagship conference on Circuits and Systems, namely ISCAS 2015. She was „Congress Publicity Chair” of the

Anton Kim

I am working on object manipulation pipeline for robotic assembly which can be used for manufacturing and assembly lines.
<> Deep learning (14)

Anwar Alshaibani

Anwar Alshaibani > Appointments, Roles and Affiliations
Visiting student at King Abdullah University of Science and Technology (KAUST).

Yimeng Chen

Postdoctoral Research Fellow, Computer Science
Yimeng Chen is a Postdoctoral Researcher in Prof. Jürgen Schmidhuber's research group at King Abdullah University of Science and Technology (KAUST).

Zakaria El Kassimi

KAUST offers a unique environment where applied mathematics and data science meet real-world impact, with exceptional resources and a supportive community for ambitious research.

Adonai Vera

Machine Learning Engineer with 6+ years of experience specializing in computer vision, deep learning, and robotics. Led AI solutions for retail analytics, UAV systems, and edge devices. Author, educator, and TensorFlow Google Developer Expert.

Juan Pablo Muñoz Díaz

Karen Sanchez

Postdoctoral Research Fellow
Karen Sanchez is a Postdoctoral Researcher in the IVUL lab at KAUST, specializing in deep learning, machine learning, and artificial intelligence (AI) for healthcare applications. Her research focuses on video understanding, domain adaptation, generative AI, and methods for preserving patient privacy.

Mhd. Emad Alolaby

Sixiu Liu

Ph.D. degree in Earth science and engineering with the King Abdullah University of Science and Technology (KAUST)

Ahmed Youssef Ragab Radwan

Visiting Student (former), Information Science Lab
Visiting student at the Information Science Lab, in the Electrical Engineering Department, CEMSE, King Abdullah University of Science and Technology (KAUST)
<> Computer Vision (13)

Reem Alzahrani

Ph.D. Student
Reem Alzahrani is an MS/PhD student at KAUST, working on Large Language Models and Vision-Language Models. Her research focuses on identifying and addressing the limitations of AI systems to improve their robustness and reliability.

Ansar Khangeldin

M.S. Student
Ms/PhD Electrical and Computer Engineering student. Have a background in Applied Mathematics, Control Theory, Machine Learning Research and Development, Multi-Agent Reinforcement Learning. Main research interests are application and enhancement of CV methods in autonomous systems (AVs, Robotics, UAVs).

Drishya Karki

Intern
Research Intern working under the supervision of Dr. Silvio Giancola as a part of KAUST-FIFA Research Institute.

Nanbo Li

Postdoctoral Research Fellow, Computer Science
Nanbo Li is a Postdoctoral Fellow working in Prof. Jürgen Schmidhuber research group at the King Abdullah University of Science and Technology (KAUST) Center of Excellence for Generative AI.

Omar Ahmed

M.S. Student, Bioengineering
Omar Ahmed is an MS student in the Bioengineering department at KAUST. His research explores the mechanisms that enable brain signal generalisability across individuals, addressing how neural activity patterns can be reliably interpreted despite significant inter-subject and temporal variability. A major challenge in neuroscience is that brain activity varies substantially between people and even within the same person over time, which limits the development of universal diagnostic and therapeutic tools. Towards this goal, Omar is developing deep learning models that can identify consistent
KAUST-CEMSE-CS-VISION-CAIR-Dalal-Aldossary

Dalal E. Aldossary

M.S. Student, Computer Science
Dalal Aldossary is a Master’s student in Computer Science at KAUST. She is part of the VISION-CAIR and the Neuroscience & AI Lab (NAIL), where she works on developing machine learning models that interpret and learn EEG representations and behavior.

Adonai Vera

Machine Learning Engineer with 6+ years of experience specializing in computer vision, deep learning, and robotics. Led AI solutions for retail analytics, UAV systems, and edge devices. Author, educator, and TensorFlow Google Developer Expert.

Abdelrahman Eldesokey

Postdoctoral Research Fellow
Abdelrahman Eldesokey is a Postdoctoral Fellow at KAUST, working on Generative AI and Computer Vision. His research focuses on diffusion models, multimodal large language models, and vision foundation models, aiming to make generative systems more controllable, interpretable, and reliable.
Najmeddine Dhieb

Najmeddine Dhieb

Karen Sanchez

Postdoctoral Research Fellow
Karen Sanchez is a Postdoctoral Researcher in the IVUL lab at KAUST, specializing in deep learning, machine learning, and artificial intelligence (AI) for healthcare applications. Her research focuses on video understanding, domain adaptation, generative AI, and methods for preserving patient privacy.

Aznaur Aliev

M.S. Student

Hani A. Al Majed

M.S. Student
Electrical and Computer Engineering Master's student at KAUST under the supervision of Professor Bernard Ghanem, with expertise in machine learning workflow automation, physics-informed neural operators, and AI for Science, particularly in chemistry applications. Passionate about leveraging AI to solve complex scientific problems.

Ahmad Sait

M.S. Student, Computer Science
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.
<> artificial intelligence (11)

Bushra Bin Hemid

M.S. Student
MSc/PhD candidate in Artificial Intelligence at KAUST. Expertise in AI and information security. Research focuses on AI for infrared imaging, transforming sensing technologies for healthcare, agriculture, and smart infrastructure

Yanda Meng

Assistant Professor, Bioengineering
Yanda Meng designs AI models to improve medical imaging and clinical decision-making.

Omar Ahmed

M.S. Student, Bioengineering
Omar Ahmed is an MS student in the Bioengineering department at KAUST. His research explores the mechanisms that enable brain signal generalisability across individuals, addressing how neural activity patterns can be reliably interpreted despite significant inter-subject and temporal variability. A major challenge in neuroscience is that brain activity varies substantially between people and even within the same person over time, which limits the development of universal diagnostic and therapeutic tools. Towards this goal, Omar is developing deep learning models that can identify consistent
Salem Alsaqaf

Salem Al-saqaf

Salem Al-Saqaf is an Electrical and Computer Engineer specializing in semiconductors, electronics and AI. He combines strong academic training with practical industry experience in AI-driven solutions, data science, and system optimization. His work spans applied research and real-world innovation, aiming to advance intelligent systems, enhance semiconductor applications, and develop technologies that bridge academic discovery with industrial impact.
Najmeddine Dhieb

Najmeddine Dhieb

Mohamed Ads

Visiting Student, King Abdullah University of Science and Technology

Yasmeen Alsaedy

M.S. Student, Computer Science
She is an AI researcher specializing in generative AI and deep learning. With a strong academic foundation and hands-on experience in machine learning, data science and artificial intelligence, she is passionate about advancing AI applications in real-world scenarios. She has contributed to cutting-edge projects, published research, and collaborated on innovative solutions that bridge the gap between AI theory and practice. Her expertise includes designing and implementing advanced data models, AI-driven visual/text computing, and deep learning architectures.

Yasser Jaber

Visiting Student Researcher ,Machine Learning Engineer at KAUST (King Abdullah University of Science and Technology).
Syed Abidullah Fareed

Syed Abidullah Fareed

Visiting Student (former), Information Science Lab

Ahmed Youssef Ragab Radwan

Visiting Student (former), Information Science Lab
Visiting student at the Information Science Lab, in the Electrical Engineering Department, CEMSE, King Abdullah University of Science and Technology (KAUST)

Nojood Almayouf

Nojood Almayouf is a Graduate Research Assistant in the Distributed Systems and Autonomy (DSA) Lab within the Robotics, Intelligent Systems and Control (RISC) Research Initiative. Education M.S. in Electrical Engineering, KAUST, Saudi Arabia (Aug 2017 - Dec 2019). Visiting graduate student, Stanford University, United States (Jun 2017 - Aug 2017). B.S. (with first honor) in Electrical and Computer Engineering, Effat University, Saudi Arabia (Jan 2013 - Jun 2017). Professional Profile Graduate Teaching Assistant for ECE 271A/ME 221A: Linear Control Systems Course, KAUST (Aug 2022 - Dec 2022)
<> Signal processing (10)

Racha Zayni

Visiting Researcher, Information Science Lab
Visiting student at King Abdullah University of Science and Technology (KAUST).

Reem Arnaout

Visiting student at King Abdullah University of Science and Technology (KAUST).

Serine Medjber

Visiting student at King Abdullah University of Science and Technology (KAUST) under the supervision of Mr. Tareq Al-Naffouri

Mohammed Amine Labbas

Visiting student at King Abdullah University of Science and Technology (KAUST) under the supervision of Mr. Tareq Al-Naffouri
Chengjie zhao

Chengjie Zhao

Visiting Researcher, Information Science Lab
Visiting Student, King Abdullah University of Science and Technology
Almutasem Bellah Enad

Almutasem Bellah Enad

Visiting Researcher (former), Information Science Lab
Visiting Student, King Abdullah University of Science and Technology, Present M.Eng in Electrical and Computer Engineering, American University of Beirut, Lebanon
Ahmad Dkhan

Ahmad Dkhan

Visiting Scholar (former), Information Science Lab
Visiting Student, King Abdullah University of Science and Technology Present -Master's in Electrical and Computer Engineering, American University of Beirut, Lebanon

Saleh AlJazzar

Research Fellow at King Abdullah University of Science and Technology (KAUST) .

Alaa Alameer Ahmad

Research visit to communication theory lab in computer, electrical and mathematical sciences and engineering. KAUST (King Abdullah University of Science and Technology) ,Worked with research groups supervised by Prof. Mohamed-Slim Alouini and Prof. Tareq AL-Naffouri.

Abdullatif Al-Rabah

MS Degree, Computer, Electrical and Mathematical Sciences and Engineering at King Abdullah University of Science and Technology (KAUST).
<> cybersecurity (8) <> IoT (7)
Salem Alsaqaf

Salem Al-saqaf

Salem Al-Saqaf is an Electrical and Computer Engineer specializing in semiconductors, electronics and AI. He combines strong academic training with practical industry experience in AI-driven solutions, data science, and system optimization. His work spans applied research and real-world innovation, aiming to advance intelligent systems, enhance semiconductor applications, and develop technologies that bridge academic discovery with industrial impact.

Serine Medjber

Visiting student at King Abdullah University of Science and Technology (KAUST) under the supervision of Mr. Tareq Al-Naffouri

Mohammed Amine Labbas

Visiting student at King Abdullah University of Science and Technology (KAUST) under the supervision of Mr. Tareq Al-Naffouri
Ruochen Zhu

Ruochen Zhu

Mohamed Ads

Visiting Student, King Abdullah University of Science and Technology
Syed Abidullah Fareed

Syed Abidullah Fareed

Visiting Student (former), Information Science Lab

Ahsan Mehmood

Intern (former), Information Science Lab
Visiting student at King Abdullah University of Science and Technology (KAUST).
<> numerical analysis (7) <> Photonics and optoelectronics (7)
polina.morozova photo

Polina Morozova

M.S. Student, Photonics Laboratory
md alshahriar shakil photo

Md Al Shahriar Shakil

M.S. Student, Photonics Laboratory
Md Al Shahriar Shakil was awarded his Bachelor of Science degree in Electrical and Electronic Engineering from the Bangladesh University of Engineering and Technology (BUET), where his undergraduate research focused on quantum computing and quantum photonics. After completing his bachelor’s degree, he worked as a Research Assistant at BUET, where he gained experience in spin-based quantum qubits for quantum computing. He is currently an MS/PhD student in Electrical and Computer Engineering at King Abdullah University of Science and Technology (KAUST), where his research focuses on
Hanqi Li profile picture

Hanqi Li

M.S. Student, Photonics Laboratory
Hanqi Li received her Bachelor of Science degree in Electronic Science and Technology from Beijing University of Posts and Telecommunications (BUPT), Beijing, China, in 2025. She was an intern student at the Institute of Semiconductors, Chinese Academy of Sciences, during 2024 and 2025, where she worked on topics related to optoelectronics and silicon photonics. Hanqi is currently an MS/PhD student in Electrical Engineering at King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia, and a member of the Photonics Laboratory.
Mohammed Alotaibi

Mohammed Obidallah Alotaibi

Ph.D. Student, Photonics Laboratory
I am Mohammed Obidallah Alotaibi, joining the KAUST Photonics Lab. I hold an M.S. in Electrical Engineering from the University of Central Florida and a B.S. from Umm Al-Qura University. Previously, I served as an Instrument Engineer at Aramco and currently lecture at Taibah University. I am passionate about advancing photonic technologies in energy and sustainability applications, and I look forward to contributing to the lab’s research in optoelectronics and integrated photonic systems. Previous Work Experience: Instrument Engineer, Saudi Aramco (2010–2012) Teaching Assistant & Lecturer

Yan Wang

Ph.D. Student, Photonics Laboratory
M.S./Ph.D. in Electrical Engineering at King Abdullah University of Science and Technology (KAUST), Saudi Arabia, Aug. 2024- present BEng. in Communication Engineering at University of Electronic Science and Technology of China (UESTC), Chengdu, China, Sept. 2019 - Jun. 2024​
Jiahoa Wei profile picture

Jiahao Wei

M.S. Student, Photonics Laboratory
Education Jan 2025 - present, M.S./Ph.D. in Electrical Engineering at KAUST, Thuwal, Saudi Arabia. Sep 2020 - Jun 2024, B.S. in Optoelectronic Information Science and Engineering at Southern University of Science and Technology (SUSTech), Shenzhen, China.
Zinan Xiao profile picture

Zinan Xiao

Ph.D. Student, Photonics Laboratory
Education Aug 2024 - present, Ph.D. in Electrical Engineering at KAUST, Thuwal, Saudi Arabia. Oct 2020 - Oct 2021, M.S. in Optics and photonics at Imperial College London, London, UK. Sep 2016 - Jun 2020, B.S. in Optoelectronic information engineering at Chongqing University, Chongqing, China.
<> uncertainty quantification (7)
Thomas Simon Spencer Trigo Trindade

Thomas Trigo Trindade

Abdul-Lateef Haji-Ali

Shyam Mohan Subbiah Pillai

Nabila Bounceur

My work focuses on the modeling of complex systems from the Probabilistic Sensitivity Analysis (PSA) and Uncertainty Quantification (UQ) perspective. I develop methodologies to efficiently characterize input-output relationships in computationally expensive simulators, enabling both qualitative understanding (which factors matter most?) and quantitative assessment (how much does each factor contribute to output uncertainty?).

Abderrahmene Ben Romdhane

Arved Bartuska

Postdoctoral Research Fellow, Stochastic Numerics Research Group

Amal Alghamdi

<> AI (6) <> Python (Programming Language) (6)

Yang Xiao

Ph.D. Student, Statistics
Yang Xaio research specializes in the development of advanced spatio-temporal models and Bayesian frameworks.

David De Jesus

Postdoctoral Research Fellow, Applied Mathematics and Computational Science
David's research focuses on the regularity of solutions to degenerate elliptic and parabolic partial differential equations as well as free boundary problems.

Yimeng Chen

Postdoctoral Research Fellow, Computer Science
Yimeng Chen is a Postdoctoral Researcher in Prof. Jürgen Schmidhuber's research group at King Abdullah University of Science and Technology (KAUST).

Amal Alghamdi

Almutasem Bellah Enad

Almutasem Bellah Enad

Visiting Researcher (former), Information Science Lab
Visiting Student, King Abdullah University of Science and Technology, Present M.Eng in Electrical and Computer Engineering, American University of Beirut, Lebanon

Mohammed A Shukri

Technical Consultant at KAUST (King Abdullah University of Science and Technology).
<> Reinforcement Learning (6)

Ansar Khangeldin

M.S. Student
Ms/PhD Electrical and Computer Engineering student. Have a background in Applied Mathematics, Control Theory, Machine Learning Research and Development, Multi-Agent Reinforcement Learning. Main research interests are application and enhancement of CV methods in autonomous systems (AVs, Robotics, UAVs).

Echo Ziyi Yang

Ph.D. Student

Kaiqiang Lin

Postdoctoral Research Fellow, Electrical and Computer Engineering
Kaiqiang Lin is currently a Postdoctoral Research Fellow at the Computer Electrical and Mathematical Sciences and Engineering Division (CEMSE), King Abdullah University of Science and Technology (KAUST), working with Professor Mohamed-Slim Alouini in the Communication Theory Lab (CTL). Education and Early Career Kaiqiang Lin received his B.Eng. degree in Electronic and Information Engineering from Fujian Agriculture and Forestry University, Fuzhou, China, in 2018, and his Ph.D. degree with the College of Surveying and Geo-Informatics Tongji University, Shanghai, China, in 2024. From 2021 to

Mohammed Alwagait

Mohammed is a PhD Student in the Electrical and Computer Engineering program (ECE) at KAUST. He focuses on Reinforcement Learning Based Energy Saving Path Planning and Control for UAVs.

Aznaur Aliev

M.S. Student

Chang Shu

Education 2021.08 - Present M.S. in Electrical Engineering, KAUST, KSA 2017.09 - 2021.06 B.Eng in Electrical Engineering, UESTC, China 2017.09 - 2021.06 B.Eng in Electrical Engineering, University of Glasgow, UK Honors and Awards ​2020.11 China National Scholarship 2019.04 Meritorious Winner in the 2019 Interdisciplinary Contest in Modeling (ICM) Areas of Expertise and Research Interests Reinforcement Learning Robotic Assembly Manipulation Planning
<> Cyber Security (5) <> ISAC (5)
kaust-cemse-ece-ccsl-changhao-he

Changhao He

kaust-cemse-ece-ccsl-yousef-awad

Yousef Awad

kaust-cemse-ece-ccsl-bumin-kagan-yildirim

Bumin Kagan Yildirim

Bang Huang

Postdoctoral Research Fellow, Electrical and Computer Engineering
Bang Huang works as a postdoctoral fellow at the Computer Electrical and Mathematical Sciences and Engineering Division (CEMSE), King Abdullah University of Science and Technology (KAUST), under the supervision of Prof. Mohamed-Slim Alouini in the Communication Theory Lab (CTL). Education and Early Career Bang Huang received the M.S. degree (with honors) in electrical engineering and Ph.D degree in information and communication engineering from the School of Information and Communication Engineering (SICE), University of Electronic Science and Technology of China (UESTC), Chengdu, China, in

Xiaowei Pang

Postdoctoral Research Fellow, Electrical and Computer Engineering
Xiaowei Pang is currently a Postdoctoral Research Fellow at the Computer Electrical and Mathematical Sciences and Engineering Division (CEMSE), King Abdullah University of Science and Technology (KAUST), working with Professor Mohamed-Slim Alouini in the Communication Theory Lab (CTL). Education and Early Career Xiaowei Pang received her B.S. degree in Telecommunication Engineering from Northwestern Polytechnical University, Xi'an, China, in 2018, and her Ph.D. degree in Information and Communication Engineering from Dalian University of Technology, Dalian, China, in 2024. From 2021 to 2022
<> data analysis (4)

David De Jesus

Postdoctoral Research Fellow, Applied Mathematics and Computational Science
David's research focuses on the regularity of solutions to degenerate elliptic and parabolic partial differential equations as well as free boundary problems.

Amal Alghamdi

Nizar Ajeeb

Full Time Researcher Full at King Abdullah University of Science and Technology.

Abdullah Alharthi

Postdoctoral Research Fellow, Electrical and Computer Engineering
Dr. Abdullah Alharthi's research centers around pattern recognition as a means to tackle a diverse array of new challenges, including how to learn intelligent behavior in complex, dynamic environments. His areas of expertise include cognition, perception, theory of mind, gait, and human-robot interaction. His work delves into both human kinetics and the comprehension and resolution of how humans and robots interact with one another in a dynamic setting. Dr. Alharthi employs Deep Learning techniques to tackle problems related to image, object, and signal recognition and classification
<> integrated photonics (4)
KAUST-CEMSE-ECE-IPL-Nikita-Kondratyev

Nikita Kondratyev

Mikhail Mishevskii

Mikhail received the B.S. degree in applied mathematics and physics from Novosibirsk State, Novosibirsk, Russia and received a master's degree with honors from the Skolkovo Institute of Science and Technology (Skoltech). His research interests include: nonlinear optics, integrated photonics, ultrafast lasers, frequency comb generation. During his time at Skoltech participated in the Skoltech Translational Research and Innovation Program industrial project to create a pulsed submicron laser for pumping a single-photon quantum light source. Mikhail awarded with Scholarship of the President of

Aleksandr Movsisian

Aleksandr received his bachelor’s degree in 2023 in Physics from Moscow State University (MSU, ranked first in Russia) and completed a master’s degree in Physics with honors at the same institution. He has over two years of research experience in quantum optics, optomechanics, and quantum measurement theory as part of the LIGO group at MSU. His work has focused on squeezed states of light, measurement topologies, and methods to overcome the Standard Quantum Limit, resulting in two first-author publications in JOSA B and Optics Letters. Aleksandr also gained hands-on experimental experience at

Aram Mkrtchyan

Postdoctoral Research Fellow, Electrical and Computer Engineering
<> Large Language Models (4) <> agricultural robotics (3) <> embedded systems (3) <> Generative AI and LLMs (3) <> haps (3)

Bang Huang

Postdoctoral Research Fellow, Electrical and Computer Engineering
Bang Huang works as a postdoctoral fellow at the Computer Electrical and Mathematical Sciences and Engineering Division (CEMSE), King Abdullah University of Science and Technology (KAUST), under the supervision of Prof. Mohamed-Slim Alouini in the Communication Theory Lab (CTL). Education and Early Career Bang Huang received the M.S. degree (with honors) in electrical engineering and Ph.D degree in information and communication engineering from the School of Information and Communication Engineering (SICE), University of Electronic Science and Technology of China (UESTC), Chengdu, China, in

Xiaowei Pang

Postdoctoral Research Fellow, Electrical and Computer Engineering
Xiaowei Pang is currently a Postdoctoral Research Fellow at the Computer Electrical and Mathematical Sciences and Engineering Division (CEMSE), King Abdullah University of Science and Technology (KAUST), working with Professor Mohamed-Slim Alouini in the Communication Theory Lab (CTL). Education and Early Career Xiaowei Pang received her B.S. degree in Telecommunication Engineering from Northwestern Polytechnical University, Xi'an, China, in 2018, and her Ph.D. degree in Information and Communication Engineering from Dalian University of Technology, Dalian, China, in 2024. From 2021 to 2022
H

Hussein Al-Shatri

I chose KAUST because of its reputation for excellence in research and its recent emphasis on applied research. With my extensive background in both academic research and industrial development, I am excited to contribute my experience and ambition. My goal is to foster new ideas and develop innovative prototypes in the field of wireless communications, which will undoubtedly enhance people's lives.
<> LiDAR (3) <> LLM (3) <> MATLAB (3) <> Multi-agent systems (3) <> Nonlinear Optics (3) <> optimization (3) <> PDEs (3) <> remote sensing (3) <> research conference (3)

KAUST Research Conference of Robotics and Autonomy 2021

1 min read ·
The KAUST Research Conference on Robotics and Autonomy 2021, #RobotoKAUST, brought together leading international and in-Kingdom robotics researchers and government and industry representatives from the robotics industry to discuss robotics and its applications. The online event was organized by Prof. E. Feron, Prof. B. Ghanem, Prof. X. Zhang and had six sessions on Marine Robotics, Human-Robot Interactions, Aerospace Robotics, Mobile Robotics, Wearable Robotics & Microrobotics, Assured Autonomy. Twenty-seven speakers (seven from KSA including three from KAUST, and three from industry)

The Recordings of the #RobotoKAUST talks are available

1 min read ·
The first KAUST Research Conference on Robotics and Autonomy 2021, #RobotoKAUST, brought together leading international and in-Kingdom robotics researchers and government and industry representatives from the robotics industry to discuss robotics and its applications. The recordings of the talks are available online! To watch the talks, please visit our website #RobotoKAUST or our KAUST RISC Lab YouTube Channel.

The KAUST Research Conference on Robotics and Autonomy 2022 #RobotoKAUST

1 min read ·
Building upon our successful online conference in spring 2021, the KAUST Robotics, Intelligent Systems, and Control Lab (RISC Lab) will host the KAUST Research Conference on Robotics and Autonomy 2022 (#RobotoKAUST2022) from February 28 until March 2, 2022. The conference will address the most recent trends of robotics application in a range of disciplines.
<> Robotics and Control (3) <> wireless communication (3) <> Wireless Communications (3) <> 6G (2) <> Advanced Perception (2) <> Aerial Robotics (2) <> AI4Science (2) <> applied mathematics (2) <> Automous Vehicles (2) <> Autonomous system (2) <> autonomous systems (2) <> biomedical devices (2) <> bioscience (2) <> communication (2) <> Computational Neuroscience (2) <> Control Theory (2) <> Controller design (2) <> Deep generative models (2) <> Digital signal processing (2) <> Dynamical Systems (2) <> Electroencephalograms (2) <> FPGA (2) <> Free-space optical communications (2) <> healthcare (2) <> HPC (2) <> intelligent systems (2) <> Localization (2) <> machine learning for wireless communication (2) <> Marine Robotics (2) <> Mathematical modeling (2) <> Model Predictive Control (2) <> Multi-Modal Large Language Models (2) <> multimodal AI (2) <> multimodal sensing (2) <> nanomaterials (2) <> Network Design (2) <> nlp (2) <> Non-Terrestrial Networks (2) <> numerical methods (2) <> optical computing (2) <> photonic integrated circuits (2) <> precision agriculture (2) <> Programming language (2) <> quantum communication (2) <> Robotics manipulators (2) <> RobotoKAUST (2) <> Sensor Fusion (2) <> statistics (2) <> stochastic processes (2) <> ultrafast fiber lasers (2) <> Video Understanding (2) <> 2D materials (1) <> 3D reconstruction (1) <> 5G and beyond (1) <> 5G networks (1) <> 6G On-chip reconfigurable intelligent surface (1) <> 6G On-chip reconfigurable transmitarray and phased array (1) <> 6g wireless systems (1) <> Action Recognition (1) <> Action understanding (1) <> adaptive control (1) <> Adaptive modeling (1) <> Adaptive Optics (1) <> aerospace design (1) <> Affective AI (1) <> Agents (1) <> agricultural productivity (1) <> agriculture (1)