Topics

<> machine learning (28)

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).

Mohammed Aldosari

Ph.D. Student, Mechanical Engineering
Education 2021.08 - Present Ph.D. Student in Mechanical Engineering, KAUST, KSA 2018.08 - 2020.06 M.S. in Mechanical Engineering, KAUST, KSA 2011.08 - 2016.05 B.Sc. in Aerospace Engineering, KFUPM, KSA Professional Profile 2022.01 - 2022.05 Teaching Assistant, CEMSE, KAUST, KSA 2017.07 - Present Researcher, Center of Excellence for Aeronautics & Astronautics, King Abdulaziz City for Science and Technology, KSA 2017.04 - 2017.07 Maintenance Planning Engineer, SaudiGulf Airlines, KSA Selected Publications M.N.Aldosari, K.K.Yalamanchi, X. Gao, S.M. Sarathy, "Predicting entropy and heat capacity

Kuat Telegenov

Research Specialist (former), Electrical and Computer Engineering
An experienced Robotics Research Engineer and Laboratory Manager.

Faisal Mushayt

M.S. Student, Computer Science
Education 2020.09 - Present M.S. in Computer Science, King Abdullah University of Science and Technology, KSA 2016.09 - 2020.08 B.S. in Computer Science, Boston University, USA Professional Profile 2018.06 - 2018.09 Data Scientist Intern, School of Business, LISH, Harvard, USA 2017.09 - 2018.05 Teaching Assistant, Math & Computer Science, Boston University, USA Areas of Expertise and Research Interests ​Machine Learning Learning in Physical Environments AI & Robotics Safety Engineering

Arman Ibrayeva

Ph.D. Student, Mechanical Engineering
Education 2021.08 - Present Ph.D. Student, KAUST, KSA 2018.08 - 2020.07 M.S. in Mechanics, Kazakh National University, Kazakhstan 2014.08 - 2018.07 B.S. in Mechanics, Kazakh National University, Kazakhstan Professional Profile 2020.03 - 2021.11 Researcher, Institute of Mechanics and Machine Sciences, National Academy of Sciences, Kazakhstan 2019.06 - 2021.11 Engineer, KOLSAJ STROJ, Kazakhstan 2014.05 - 2015.05 Laboratory assistant, Fluid and Gas Mechanics Lab, Kazakh National University, Kazakhstan Selected Publications S. Ibrayev, N. Jamalov, A. Ibrayeva, G. Mukhambetkaliyeva "Optimal
<> robotics (21)

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.

Aigerim Nurbayeva

Postdoctoral Research Fellow, Electrical and Computer Engineering

KAUST Robotics Bay Inauguration

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B5 L2 R2800

Join us for the Robotics Bay inauguration at KAUST.

Robotics at KAUST

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B9 L2 R2325

Robotics at KAUST is a system integration activity that relies on inputs from Computer Science, Software Engineering, Mechanical Engineering, and Electrical Engineering. A few examples of completed and ongoing robotics research at KAUST will be introduced and discussed. In addition, KAUST's new and large robotics bay will be described in detail.

The KAUST Research Conference on Robotics and Autonomy 2022

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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.

KAUST RISC lab hosts Center of Excellence for Aeronautics and Astronautics(KACST)

1 min read ·
KAUST Robotics, Intelligent Systems, and Control (RISC) Lab hosts a 3-day visit by personnel from the Center of Excellence for Aeronautics and Astronautics at King Abdulaziz City of Science and Technology ( https://ceaa.kacst.edu.sa/). During their visit, a team of ten, led by Dr. Hesham Shageer of KACST attended talks by RISC Profs. Eric Feron and Shinkyu Park on diverse aspects of robotics. The KACST team also visited FalconViz ( http://www.falconviz.com/) and Firnas ( https://www.firnas.aero/home.php)Two KAUST startups relying on drone technology to perform a variety of tasks, such as

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.

Ryan Maxwell

Renzo Caballero

Education 2022.05.24 Ph.D. Research Proposal: "Theory and Dynamics of Self-Repair Systems" Committee Members: Prof. Eric Feron, Prof. Shinkyu Park, Prof. Diogo Gomez, Prof. David Keyes, Prof. Taous-Meriem Laleg 2019.06 - 2023.12 Ph.D. in Applied Mathematics and Computational Sciences, KAUST, KSA 2017.08 - 2019.06 M.Sc. in Applied Mathematics and Computational Sciences, KAUST, KSA ​2010.02 - 2016.06 B.Sc. in Electrical Engineering, Universidad de la Republica, Montevideo, Uruguay Professional Profile 2021.08 - 2021.12 Teaching Assistant, CEMSE, KAUST, KSA 2017.01 - 2017.04 Models Analyst, UTE

Obadah Wali

Education Profile 2021.06 - Present Ph.D. Student in Mechanical Engineering, KAUST, KSA 2019.09 - 2021.05 M.S. in Mechanical Engineering, KAUST, KSA 2011.09 - 2016.05 B.S. in Mechanical Engineering, King Fahd University of Petroleum and Minerals, KSA Work Experience 2016.08 - 2019.08 Mechanical Engineer, SABIC Terminal Services (SABTANK), KSA Selected Publications O. Wali, M.T. Shahab, E. Feron, “A Non-planar Assembly of Modular Tetrahedral-shaped Aerial Robots”, 2023 IEEE International Conference on Robotics and Automation (ICRA). (Accepted). Areas of Expertise and Research Interests Drones

Nawaf Alotaibi

Education 2020.08 - 2022.05 M.S. Student in Mechanical Engineering, KAUST, KSA 2016.08 - 2020.05 B.S. in Mechanical Engineering, Georgia Institute of Technology, USA Professional Profile 2019.06 - 2019.08 Research Intern, RISC Lab, KAUST, KSA Areas of Expertise and Research Interests ​Robotics Autonomous Vehicles Machine learning Vision

Mutaz Aljafari

Education 2021.05 - 2021.08 Visiting Student, The CEMSE Saudi Summer Internship (SSI), King Abdullah University of Science and Technology, KSA Project: "Air-Air Drone Detection Using Modular Radar" 2015.09 - 2021.12 B.S in Aeronautical Engineering, KAUST, KSA Professional Profile 2021.05 - 2021.08 Research Intern, RISC Lab, KAUST, KSA 2020.01 - 2020.12 Aerospace Engineer, R&D, SarSat Arabia, KSA 2018.06 - 2018.07 Research Intern, Automotive Department, Nagoya University, Japan 2018.01 - 2020.12 Founder - Leader, Faculty of Engineering Manufacturing Club, KSA 2017.06 - 2017.08 Assistant

Mohamad T. Shahab

Postdoctoral Research Fellow, Electrical and Computer Engineering
Education 2020, PhD in Electrical and Computer Engineering, University of Waterloo 2015, MSc in Systems Engineering, KFUPM 2007, BSc in Control & Instrumentation Systems Engineering, KFUPM Professional Profile 2020 - Present, Postdoctoral Fellow, RISC Lab, KAUST 2016 - 2020, Research/Teaching Assistant, University of Waterloo 2012 - 2015, Research Engineer, Baker Hughes 2007 - 2011, Research/Teaching Assistant, KFUPM Selected Publications O. Wali, M.T. Shahab, E. Feron, "A Non-planar Assembly of Modular Tetrahedral-shaped Aerial Robots", 2023 IEEE International Conference on Robotics and

Kuat Telegenov

Research Specialist (former), Electrical and Computer Engineering
An experienced Robotics Research Engineer and Laboratory Manager.

Juman AlAbdullatif

Education Profile 2020.08 - 2022.05 M.S. Student in Electrical and Computer Engineering, KAUST, KSA 2016.08 - 2020.05 B.S. in ECE, Rose-Hulman Institute of Technology, USA Areas of Expertise and Research Interests ​Robotics Control HRI

Hassan S. Abdelraouf

Ph.D. Student, Mechanical Engineering
Education 2018.09 - Present Ph.D. Student in Mechanical Engineering, KAUST, KSA 2015.01- 2017.01 M.S. in Aerospace Engineering, Cairo University, Egypt 2010.09 - 2014.05 B.S. in Aerospace Engineering, Cairo University, Egypt Professional Profile 2021.01 - 2021.05 Teaching Assistant, ECE, KAUST, KSA 2020.08 - 2020.12 Teaching Assistant, ECE 376, ECE, KAUST, KSA 2020.01 - 2020.05 Teaching Assistant, ECE 372, ECE, KAUST, KSA Honors and Awards 2019.12 "Best Aerial Team" award in the European Robotics League team competition Areas of Expertise and Research Interests Control Theory Aerospace systems

Fatema Alhani

Education 2020.08 - Present M.S. D. Student in Electrical Engineering, King Abdullah University of Science and Technology, KSA 2016.07 - 2020.05 B.S. in Electrical and Computer Engineering, North Carolina State University, USA

Eric Feron

With 31 years of teaching and research experience, Professor Feron’s work utilizes elementary concepts of control systems, optimization and computer science to address critical issues in modern aerospace engineering and robotics.

Brian Parrott

Education 2021.08 - Present Ph.D. Student in Mechanical Engineering, King Abdullah University of Science and Technology, KSA 2017.06 - 2019.06 MBA, HKUST, Hong Kong-China ​2010.08 - 2011.12 MS in Chemical and Biological Engineering, KAUST, KSA 2006.09 - 2010.06 BS in Biology, University of Washington, USA Professional Profile 2012.05 - Present Research Scientist, Research and Development Center, Saudi Aramco, KSA Honors and Awards 2014.01 CEO Excellence Award 2013.01 International Glory Medal, International Federation of Inventors' Associations Selected Publications B. Parrott, P. Carrasco

Arman Ibrayeva

Ph.D. Student, Mechanical Engineering
Education 2021.08 - Present Ph.D. Student, KAUST, KSA 2018.08 - 2020.07 M.S. in Mechanics, Kazakh National University, Kazakhstan 2014.08 - 2018.07 B.S. in Mechanics, Kazakh National University, Kazakhstan Professional Profile 2020.03 - 2021.11 Researcher, Institute of Mechanics and Machine Sciences, National Academy of Sciences, Kazakhstan 2019.06 - 2021.11 Engineer, KOLSAJ STROJ, Kazakhstan 2014.05 - 2015.05 Laboratory assistant, Fluid and Gas Mechanics Lab, Kazakh National University, Kazakhstan Selected Publications S. Ibrayev, N. Jamalov, A. Ibrayeva, G. Mukhambetkaliyeva "Optimal

Angelica Coronado Preciado

<> deep learning (11)

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)
<> Signal processing (11)

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).

Nouf Alamri

Education Nouf Alamri is currently pursuing a B.S. in electrical engineering at Boston University and is graduating in May 2020. Research Interests Nouf is interested in applied electromagnetics in general and signal processing. She is also exploring her interest in energy and systems related research.
<> Computer Vision (10)

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 (9)

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)
<> Control Theory (9)

Alessandro Astolfi

Control and Estimation Designs Using Model-Based and Model-Free Approaches for Water Quality Monitoring in Process Systems

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B1 L4 R4214

This dissertation develops and evaluates advanced control and estimation strategies to address complex dynamics and measurement limitations in water-related applications, specifically optimizing fish growth in aquaculture and estimating bacterial concentration in wastewater treatment plants.

Fahad Aljehani

Designing advanced control algorithms and estimation techniques to optimize water quality systems, specifically aquaculture and wastewater treatment, blending control theory with cutting-edge AI and machine learning to enhance performance, sustainability, and cost-efficiency.

Yi-Hsuan Chen

Education 2020.08 - 2022.04 M.S. Student in Mechanical Engineering, KAUST, KSA " Control design and analysis for reduced-gravity atmospheric flights." 2015.09 - 2019.06 B.S. in Aeronautics and Astronautics, National Cheng Kung University, Taiwan Professional Profile 2019.09 - 2020.06 Teaching Assistant, Department of Aeronautics and Astronautics, National Cheng Kung University, Taiwan Honors and Awards ​2019.06 Honorary Member of Phi Tau Phi Scholastic Honor Society 2018.05 Professor Li Ke-Rang Scholarship Selected Publications Lien, Y.-H.; Peng, C.-C.; Chen, Y.-H. "Adaptive Observer-Based

Ryan Maxwell

Mohammad Aljohany

Education 2021 - Present Ph.D. Student in Electrical and Computer Engineering, King Abdullah University of Science and Technology, KSA M.S. in Electrical and Computer Engineering , KAUST, KSA B.S. in Instrumentation and Control Engineering, Yanbu Industrial College, KSA Areas of Expertise and Research Interests Control Theory Intelligent Systems Automation Reinforcement Learning

Mohamad T. Shahab

Postdoctoral Research Fellow, Electrical and Computer Engineering
Education 2020, PhD in Electrical and Computer Engineering, University of Waterloo 2015, MSc in Systems Engineering, KFUPM 2007, BSc in Control & Instrumentation Systems Engineering, KFUPM Professional Profile 2020 - Present, Postdoctoral Fellow, RISC Lab, KAUST 2016 - 2020, Research/Teaching Assistant, University of Waterloo 2012 - 2015, Research Engineer, Baker Hughes 2007 - 2011, Research/Teaching Assistant, KFUPM Selected Publications O. Wali, M.T. Shahab, E. Feron, "A Non-planar Assembly of Modular Tetrahedral-shaped Aerial Robots", 2023 IEEE International Conference on Robotics and

Fatema Alhani

Education 2020.08 - Present M.S. D. Student in Electrical Engineering, King Abdullah University of Science and Technology, KSA 2016.07 - 2020.05 B.S. in Electrical and Computer Engineering, North Carolina State University, USA

Ania Adil

Postdoctoral Research Fellow, Electrical and Computer Engineering
Ania Adil is a Postdoctoral fellow at the KAUST Robotics, Intelligent Systems, and Control Lab (KAUST RISC Lab) at King Abdullah University of Science and Technology (KAUST) under the supervision of Professor Eric Feron.
<> 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).
<> 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.
<> numerical analysis (6) <> Reinforcement Learning (6)

Control and Estimation Designs Using Model-Based and Model-Free Approaches for Water Quality Monitoring in Process Systems

-

B1 L4 R4214

This dissertation develops and evaluates advanced control and estimation strategies to address complex dynamics and measurement limitations in water-related applications, specifically optimizing fish growth in aquaculture and estimating bacterial concentration in wastewater treatment plants.

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

Fahad Aljehani

Designing advanced control algorithms and estimation techniques to optimize water quality systems, specifically aquaculture and wastewater treatment, blending control theory with cutting-edge AI and machine learning to enhance performance, sustainability, and cost-efficiency.

Mohammad Aljohany

Education 2021 - Present Ph.D. Student in Electrical and Computer Engineering, King Abdullah University of Science and Technology, KSA M.S. in Electrical and Computer Engineering , KAUST, KSA B.S. in Instrumentation and Control Engineering, Yanbu Industrial College, KSA Areas of Expertise and Research Interests Control Theory Intelligent Systems Automation Reinforcement Learning
<> uncertainty quantification (6) <> AI (5) <> Cyber Security (5) <> drones (5)

KAUST RISC lab hosts Center of Excellence for Aeronautics and Astronautics(KACST)

1 min read ·
KAUST Robotics, Intelligent Systems, and Control (RISC) Lab hosts a 3-day visit by personnel from the Center of Excellence for Aeronautics and Astronautics at King Abdulaziz City of Science and Technology ( https://ceaa.kacst.edu.sa/). During their visit, a team of ten, led by Dr. Hesham Shageer of KACST attended talks by RISC Profs. Eric Feron and Shinkyu Park on diverse aspects of robotics. The KACST team also visited FalconViz ( http://www.falconviz.com/) and Firnas ( https://www.firnas.aero/home.php)Two KAUST startups relying on drone technology to perform a variety of tasks, such as

Obadah Wali

Education Profile 2021.06 - Present Ph.D. Student in Mechanical Engineering, KAUST, KSA 2019.09 - 2021.05 M.S. in Mechanical Engineering, KAUST, KSA 2011.09 - 2016.05 B.S. in Mechanical Engineering, King Fahd University of Petroleum and Minerals, KSA Work Experience 2016.08 - 2019.08 Mechanical Engineer, SABIC Terminal Services (SABTANK), KSA Selected Publications O. Wali, M.T. Shahab, E. Feron, “A Non-planar Assembly of Modular Tetrahedral-shaped Aerial Robots”, 2023 IEEE International Conference on Robotics and Automation (ICRA). (Accepted). Areas of Expertise and Research Interests Drones

Mutaz Aljafari

Education 2021.05 - 2021.08 Visiting Student, The CEMSE Saudi Summer Internship (SSI), King Abdullah University of Science and Technology, KSA Project: "Air-Air Drone Detection Using Modular Radar" 2015.09 - 2021.12 B.S in Aeronautical Engineering, KAUST, KSA Professional Profile 2021.05 - 2021.08 Research Intern, RISC Lab, KAUST, KSA 2020.01 - 2020.12 Aerospace Engineer, R&D, SarSat Arabia, KSA 2018.06 - 2018.07 Research Intern, Automotive Department, Nagoya University, Japan 2018.01 - 2020.12 Founder - Leader, Faculty of Engineering Manufacturing Club, KSA 2017.06 - 2017.08 Assistant

Kuat Telegenov

Research Specialist (former), Electrical and Computer Engineering
An experienced Robotics Research Engineer and Laboratory Manager.

Abdulrahman Alshammari

Education Profile 2021.08 - Present M.S. Student in Mechanical Engineering, King Abdullah University of Science and Technology, KSA 2013.08 - 2018.05 B.S. in Mechanical Engineering, Alfaisal University, KSA Areas of Expertise and Research Interests ​Robotics and Control Multi-robot Systems Drones Autopilot
<> intelligent systems (5)

Nawaf Alotaibi

Education 2020.08 - 2022.05 M.S. Student in Mechanical Engineering, KAUST, KSA 2016.08 - 2020.05 B.S. in Mechanical Engineering, Georgia Institute of Technology, USA Professional Profile 2019.06 - 2019.08 Research Intern, RISC Lab, KAUST, KSA Areas of Expertise and Research Interests ​Robotics Autonomous Vehicles Machine learning Vision

Mohammad Aljohany

Education 2021 - Present Ph.D. Student in Electrical and Computer Engineering, King Abdullah University of Science and Technology, KSA M.S. in Electrical and Computer Engineering , KAUST, KSA B.S. in Instrumentation and Control Engineering, Yanbu Industrial College, KSA Areas of Expertise and Research Interests Control Theory Intelligent Systems Automation Reinforcement Learning

Hassan S. Abdelraouf

Ph.D. Student, Mechanical Engineering
Education 2018.09 - Present Ph.D. Student in Mechanical Engineering, KAUST, KSA 2015.01- 2017.01 M.S. in Aerospace Engineering, Cairo University, Egypt 2010.09 - 2014.05 B.S. in Aerospace Engineering, Cairo University, Egypt Professional Profile 2021.01 - 2021.05 Teaching Assistant, ECE, KAUST, KSA 2020.08 - 2020.12 Teaching Assistant, ECE 376, ECE, KAUST, KSA 2020.01 - 2020.05 Teaching Assistant, ECE 372, ECE, KAUST, KSA Honors and Awards 2019.12 "Best Aerial Team" award in the European Robotics League team competition Areas of Expertise and Research Interests Control Theory Aerospace systems

Brian Parrott

Education 2021.08 - Present Ph.D. Student in Mechanical Engineering, King Abdullah University of Science and Technology, KSA 2017.06 - 2019.06 MBA, HKUST, Hong Kong-China ​2010.08 - 2011.12 MS in Chemical and Biological Engineering, KAUST, KSA 2006.09 - 2010.06 BS in Biology, University of Washington, USA Professional Profile 2012.05 - Present Research Scientist, Research and Development Center, Saudi Aramco, KSA Honors and Awards 2014.01 CEO Excellence Award 2013.01 International Glory Medal, International Federation of Inventors' Associations Selected Publications B. Parrott, P. Carrasco

Angelica Coronado Preciado

<> 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
<> Python (5) <> control systems (4)

Michał Drewniak

Michał is pursuing a collaborative Ph.D. carried out jointly by the King Abdullah University of Science and Technology (KAUST) and AGH University of Krakow (AGH). At KAUST, he is a Ph.D. student in Electrical and Computer Engineering working in the Secure Next Generation Resilient Systems Lab (SENTRY) under the supervision of Professor Charalambos Konstantinou, while at AGH University he conducts his doctoral studies under the supervision of Professor Marcin Baszyński. Michał obtained both his Bachelor of Engineering and Master of Engineering degrees in Electrical Engineering from AGH

Nawaf Alotaibi

Education 2020.08 - 2022.05 M.S. Student in Mechanical Engineering, KAUST, KSA 2016.08 - 2020.05 B.S. in Mechanical Engineering, Georgia Institute of Technology, USA Professional Profile 2019.06 - 2019.08 Research Intern, RISC Lab, KAUST, KSA Areas of Expertise and Research Interests ​Robotics Autonomous Vehicles Machine learning Vision

Fatema Alhani

Education 2020.08 - Present M.S. D. Student in Electrical Engineering, King Abdullah University of Science and Technology, KSA 2016.07 - 2020.05 B.S. in Electrical and Computer Engineering, North Carolina State University, USA

Eric Feron

With 31 years of teaching and research experience, Professor Feron’s work utilizes elementary concepts of control systems, optimization and computer science to address critical issues in modern aerospace engineering and robotics.
<> embedded systems (4)

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
Syed Abidullah Fareed

Syed Abidullah Fareed

Visiting Student (former), Information Science Lab

Salman Sarfaraz Ghori

Education 2021.10 - Present Ph.D. Student in Electrical and Computer Engg, King Abdullah University of Science and Technology, KSA 2018.09 - 2020.10 M.S in Aerospace Engg, Sapienza University of Rome, Italy ​2009.05 - 2013.05 B.Tech in Electronics and Communication Engg, Jawaharlal Nehru Technological University HYD, India Professional Profile 2018.01 - 2018.09 Senior Engineer, ZF India Technology Center, India 2017.02 - 2018.01 Embedded Software Engineer, Global Edge, India 2014.09 - 2017.01 System Engineer, Tata Consultancy Services, India Areas of Expertise and Research Interests Space
<> 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
<> MATLAB (4) <> optimal control (4)

Salim Ksous

Control and Estimation Designs Using Model-Based and Model-Free Approaches for Water Quality Monitoring in Process Systems

-

B1 L4 R4214

This dissertation develops and evaluates advanced control and estimation strategies to address complex dynamics and measurement limitations in water-related applications, specifically optimizing fish growth in aquaculture and estimating bacterial concentration in wastewater treatment plants.

Fahad Aljehani

Designing advanced control algorithms and estimation techniques to optimize water quality systems, specifically aquaculture and wastewater treatment, blending control theory with cutting-edge AI and machine learning to enhance performance, sustainability, and cost-efficiency.

Salman Sarfaraz Ghori

Education 2021.10 - Present Ph.D. Student in Electrical and Computer Engg, King Abdullah University of Science and Technology, KSA 2018.09 - 2020.10 M.S in Aerospace Engg, Sapienza University of Rome, Italy ​2009.05 - 2013.05 B.Tech in Electronics and Communication Engg, Jawaharlal Nehru Technological University HYD, India Professional Profile 2018.01 - 2018.09 Senior Engineer, ZF India Technology Center, India 2017.02 - 2018.01 Embedded Software Engineer, Global Edge, India 2014.09 - 2017.01 System Engineer, Tata Consultancy Services, India Areas of Expertise and Research Interests Space
<> optimization (4) <> Robotics and Control (4)

Hassan Hizeh

Hassan is an MS/PhD electrical engineering student. He is currently based in the CEMSE division at KAUST, working under the supervision of Prof. Tareq Al-Naffouri.

Songqiying Yang

Nadia AlMutlak

Education 2021.08 - 2022.12 M.S. Student in Mechanical Engineering, KAUST, KSA 2017.08 - 2021.05 B.S. in Mechanical Engineering, Columbia University, USA Professional Profile 2021.04 - 2021.08 Innovation Management Consultant, Accenture, KSA 2020.05 - 2020.08 Research Intern, HARP labs at the Robotics Institute, Carnegie Mellon University, USA 2019.05 - 2019.08 Research Intern, HARP labs at the Robotics Institute, Carnegie Mellon University, USA Areas of Expertise and Research Interests Robotics and Control Human Robotic Interaction Robotic Design

Abdulrahman Alshammari

Education Profile 2021.08 - Present M.S. Student in Mechanical Engineering, King Abdullah University of Science and Technology, KSA 2013.08 - 2018.05 B.S. in Mechanical Engineering, Alfaisal University, KSA Areas of Expertise and Research Interests ​Robotics and Control Multi-robot Systems Drones Autopilot
<> automation (3) <> data analysis (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.
<> Large Language Models (3) <> LiDAR (3) <> LLM (3) <> Nonlinear Optics (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.
<> UAV (3) <> wireless communication (3) <> Wireless Communications (3) <> 6G (2) <> adaptive control (2) <> Advanced Perception (2) <> Aerial Robotics (2) <> agricultural 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 (2) <> Deep generative models (2) <> Digital signal processing (2) <> Dynamical Systems (2) <> Electroencephalograms (2) <> FPGA (2) <> Free-space optical communications (2) <> Generative AI and LLMs (2) <> healthcare (2) <> HPC (2) <> Localization (2) <> machine learning algorithm (2) <> machine learning for wireless communication (2) <> Multi-agent systems (2) <> multimodal sensing (2) <> nanomaterials (2) <> Network Design (2) <> Non-Terrestrial Networks (2) <> numerical methods (2) <> optical computing (2) <> photonic integrated circuits (2) <> precision agriculture (2) <> Programming language (2) <> quantum communication (2) <> RobotoKAUST (2) <> sensors (2) <> SRSI (2) <> statistics (2) <> stochastic processes (2) <> ultrafast fiber lasers (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 Optics (1) <> additive manufacturing (1) <> Aerospace (1) <> aerospace design (1) <> aerospace software system (1) <> Affective AI (1) <> Agent Management (1) <> agricultural productivity (1)