Topics

<> machine learning (17)

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

David Gomez-Cabrero

Associate Professor, Bioscience
Professor Cabrero's research focuses on developing statistics and machine learning tools for understanding biological systems that address health-related applications, advance biomedical research and enhance our understanding of the molecular mechanisms of diseases with the potential to uncover novel therapeutic approaches.

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

Visiting Student at the Information Science Lab at the King Abdullah University of Science and Technology (KAUST).

Efficient Machine Learning across Hardware, Software, and Algorithms

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B2 L5 R5209

Deep neural networks (DNNs) are revolutionizing computing, necessitating an integrated approach across the computing stack to optimize efficiency. In this talk, I will explore the frontier of DNN optimization, spanning algorithms, software, and hardware. We'll start with hardware-aware neural architecture search, demonstrating how tailoring DNN architectures to specific hardware can drastically enhance performance.

Ussama Zahid

Ussama Zahid was an M.S. student in the Accelerated Connected Computing Lab at KAUST. He works at the intersection of deep learning and embedded systems, i.e., “Edge AI”. He specializes in efficient training and inference of quantized deep neural networks (DNNs) and hardware-software co-design of DNN accelerators. Before joining KAUST, he was as a research engineer intern at Xilinx Research Labs, Dublin Ireland, Ireland where he worked on quantized and robust training of Deep Neural Networks (DNNs), resulting in patents and publications. He received his Bachelor's degree in Electrical
<> Signal processing (9)

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).

Peter Schmid

​Professor Schmid's research interests are in theoretical and computational fluid dynamics, with emphasis on hydrodynamic stability theory, flow control, model reduction and system identification. He is also interested in computational techniques for flow optimization and quantitative flow analysis.
<> Computer Vision (8)

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
I am a Postdoctoral Fellow at KAUST, Saudi Arabia, specializing in Generative AI and conducting research on advanced topics in Generative and Large Language Models (LLMs). I bring over 11 years of combined academic and industrial experience in Computer Vision and Deep Learning across Sweden, Egypt, and Saudi Arabia.
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.

Abdurauf Abdurakhmanov

<> cybersecurity (8) <> deep learning (8)

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)
<> reconfigurable computing (8)

Ussama Zahid

Ussama Zahid was an M.S. student in the Accelerated Connected Computing Lab at KAUST. He works at the intersection of deep learning and embedded systems, i.e., “Edge AI”. He specializes in efficient training and inference of quantized deep neural networks (DNNs) and hardware-software co-design of DNN accelerators. Before joining KAUST, he was as a research engineer intern at Xilinx Research Labs, Dublin Ireland, Ireland where he worked on quantized and robust training of Deep Neural Networks (DNNs), resulting in patents and publications. He received his Bachelor's degree in Electrical

Suhaib Fahmy

Associate Professor, Computer Science
Professor Fahmy’s research explores novel ways to integrate accelerated computation and communication to improve computing systems' efficiency, latency, and security.

Rayan Rozi

Rayan Rozi was an MS student in the Accelerated Connected Computing Lab at KAUST. He worked on the design of hardware accelerators. He received his Bachelor's degree in Computer Science from King Abdulaziz University, Saudi Arabia in 2020. He received his Masters in Computer Science from KAUST in 2022.

Mohamed Hassan

Postdoctoral Research Fellow (former), Computer Science
Mohamed W. Hassan was a Postdoctoral Research Fellow in the Accelerated Connected Computing Lab at KAUST from 2022–2025. He worked on reconfigurable computing and computer architecture for high performance computing. He received his PhD in Electrical and Computer Engineering from Virginia Tech in 2021. He received Bachelor’s and Master’s degrees in Computer Engineering from the Arab Academy of Science, Egypt in 2010 and 2013 respectively. Mohamed’s research has explored accelerating scientific applications in heterogenous systems including CPUs, GPUs, and FPGAs. He is especially interested in

Mohamed Bouaziz

Ph.D. Student, Computer Science
Mohamed Bouaziz is a PhD student in the Accelerated Connected Computing Lab at KAUST working on hardware acceleration on reconfigurable spatial dataflow architectures.

Mahmoud Elshenawy

Ph.D. Student, Computer Science
Mahmoud Elshenawy is an MS/PhD student in the Accelerated Connected Computing Lab at KAUST. He works on mapping complex computations to hardware primitives in FPGA architectures. He received his Bachelor of Science in Computer Engineering from the American University of Cairo, Egypt in 2023. He completed his MS in Computer Science at KAUST in 2024.

Krishnan Iyer

Ph.D. Student, Computer Science
Krishnan Iyer is a PhD student in the Accelerated Connected Computing Lab at KAUST. He works on reconfigurable computing systems and abstractions for managing hardware reconfiguration in FPGAs. He received his Bachelor of Technology degree in Electrical Engineering from Amrita Vishwa Vidyapeetham University, India in 2020 and worked as an Embedded Systems Engineer at Peer Robotics. He completed his MS in Computer Science at KAUST in 2024.

Hao Liu

Ph.D. Student, Computer Science
Hao Liu is a PhD student in the Accelerated Connected Computing Lab at KAUST. He works on machine learning at the edge including split inference and exploiting near-edge accelerators. He received his Bachelor’s degree in Electronic and Information Engineering and his Master’s degree in Cybersecurity and Technology from Beihang University, Beijing, China in 2019 and 2021, respectively.
<> artificial intelligence (7)
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)

Abdurauf Abdurakhmanov

<> IoT (6) <> Cyber Security (4) <> ISAC (4)
kaust-cemse-ccsl-yousef-awad

Yousef Awad

kaust-cemse-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
<> MATLAB (4) <> AI (3) <> embedded systems (3) <> FPGA (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.
<> integrated photonics (3)

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
<> optimization (3) <> Photonics and optoelectronics (3) <> Reinforcement Learning (3) <> Advanced Perception (2) <> AI4Science (2) <> applied mathematics (2) <> Automous Vehicles (2) <> bioscience (2) <> communication (2) <> computer networking and systems (2) <> Dynamical Systems (2) <> Generative AI and LLMs (2) <> healthcare (2) <> high performance computing (2) <> Large Language Models (2) <> LiDAR (2) <> LLM (2) <> Localization (2) <> multimodal sensing (2) <> nanomaterials (2) <> Network Design (2) <> Non-Terrestrial Networks (2) <> Nonlinear Optics (2) <> optical computing (2) <> Programming language (2) <> Python (2) <> quantum communication (2) <> remote sensing (2) <> software (2) <> ultrafast fiber lasers (2) <> Wireless communication (2) <> Wireless Communications (2) <> 5G and beyond (1) <> 5G networks (1) <> 6G (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 Optics (1) <> Aerial Robotics (1) <> Affective AI (1) <> AI for healthcare (1) <> algorithms (1) <> ambit fields (1) <> Arabic NLP (1) <> artificial intelligence for wireless communication (1) <> automotive security (1) <> beamforming (1) <> bifurcation theory (1) <> biomechanics (1) <> biomedical devices (1) <> Biomedical Signal Processing (1) <> biosensing (1) <> biotechnology (1) <> BLE communication (1) <> blockchain (1) <> calculus of variations (1) <> Cellular Networks (1) <> Chaos Shift Keying (1) <> cloud- and fog-radio access networks (1) <> coding techniques for Terahertz (1) <> collective (1) <> communication engineering (1) <> communication networks (1) <> communication systems (1) <> Compressed Sensing Approach (1) <> computational bioscience (1) <> computational methods (1) <> computational statistics (1) <> Computer architecture (1) <> computer networks (1) <> Continual Learning (1) <> Cooperative networks (1) <> cross-layer optimization (1) <> Cultural Understanding (1) <> cyber threats (1) <> data analysis (1) <> Data Analyst (1) <> Data detection and decoding (1) <> Deep generative models (1) <> development (1)