Topics

<> machine learning (14)

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).
<> electrical engineering (7)

Blue LED material extended to Green, Yellow, and now Red

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KAUST

In this seminar, the science of MOCVD, the material science of InGaN, and the new-born InGaN-based red LED performance will be discussed. The three primary colors in light are RGB. Green and blue LEDs have been realized by using InGaN active region. The current red LEDs are based on AlGaAs or InGaP as the active region. If we can realize red LEDs by InGaN, it is possible to integrate RGB LEDs in a wafer. Such RGB integration is a breakthrough to develop the next displays, so-called, micro-LED displays that are the next after the OLED displays, and functional LED lightings.

Pure red LEDs fulfill a primary goal

1 min read ·
First high-intensity, low-voltage red LEDs made from nitride semiconductors.

Red-light LEDs for next-generation displays

1 min read ·
Novel red LEDs are more temperature stable than those made using the conventional semiconductor of choice.

Standing the test of time with a perfect partner

1 min read ·
Identifying the ideal co-catalyst can significantly extend the working lifetime of solar fuel–generating photocatalysts.

KAUST Discovery features "Optoelectronic devices that emit warm and cool white light"

1 min read ·
A single semiconducting material can produce white light by emitting light across the visible spectrum.

Making the shift from blue to red for better LEDs

1 min read ·
Pure red-light micrometer-scale emitting devices made from a nitride semiconductor reaches excellent efficiency.

Full color LEDs cut down to size

1 min read ·
Tiny light-emitting devices that can create all the colors in the rainbow are essential for the next generation of phones and screens.
<> Signal processing (7)
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.
<> artificial intelligence (6)
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)
<> Computer Vision (6)

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.
<> deep learning (6) <> MATLAB (4) <> MOVPE (4)

Marie Sklodowska-Curie Fellowships in Photonics @ CEMSE – call 4 - 2018

1 min read ·
A group of professors working in the area of photonics at KAUST, most of them with CEMSE Division, offer hosting of outgoing Marie Sklodowska-Curie Fellowships in their research groups within the EU H2020 COFUND Postdoctoral Fellowship Programme MULTIPLY.

Jose Maria Silva Corrugedo

Education ​​BSc, Mechatronics Engineering, Instituto Tecnologico y de Estudios Superiores de Monterrey, Chihuahua, Mexico, 2010

Daisuke Iida

Senior Research Scientist, Electrical and Computer Engineering
Daisuke Iida is a Senior Research Scientist at Energy Conversion Devices and Materials (ECO Devices) Laboratory in the Division of Computer, Electrical and Mathematical Sciences & Engineering (CEMSE). He holds a Ph.D. in Materials Science and Engineering from Meijo University in 2011. Afterward, he held postdoctoral and visiting researcher positions at Meijo University and Technical University of Denmark. Then, he worked as an assistant professor at Tokyo University of Science from 2014 to 2017. His research interest is III-nitride semiconductors-based optoelectronic devices, especially the

Carmen Leticia Castrejon Barron

Carmen Leticia Castrejon Barron is a Ph.D. candidate at Energy Conversion Devices and Materials (ECO Devices) Laboratory under the supervision of Professor Kazuhiro Ohkawa at King Abdullah University of Science and Technology (KAUST). Education MSc, Electrical Engineering, KAUST, Saudi Arabia, 2016 ME, Education, Tec Milenio university, Chihuahua, Mexico, 2013 BSc, Electromechanical Engineering, Instituto Tecnologico de Ciudad Jimenez, 2009 Research Interests Carmen's research interests include Light sources, Solar Energy, Plant biology and Desert agriculture.
<> AI (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.
<> IoT (3) <> LED (3)

Blue LED material extended to Green, Yellow, and now Red

-

KAUST

In this seminar, the science of MOCVD, the material science of InGaN, and the new-born InGaN-based red LED performance will be discussed. The three primary colors in light are RGB. Green and blue LEDs have been realized by using InGaN active region. The current red LEDs are based on AlGaAs or InGaP as the active region. If we can realize red LEDs by InGaN, it is possible to integrate RGB LEDs in a wafer. Such RGB integration is a breakthrough to develop the next displays, so-called, micro-LED displays that are the next after the OLED displays, and functional LED lightings.

Blue LED material beyond Blue for Micro-LED Displays

-

KAUST

Energy is an indispensable part of our lives. We are challenging energy-saving novel light emitters and clean-energy generation systems at Energy Conversion Devices and Materials (ECO Devices) Laboratory at KAUST. The former is based on MOCVD technology, material science, and device technology. The latter is the nitride photocatalyst invented by Ohkawa. The development of highly-efficient InGaN-based blue LEDs was the topic of the 2014 Nobel Prize in Physics. InGaN-based green LEDs were realized after improving the quality of higher-In-content InGaN. The three primary colors in light are RGB. The current red LEDs are based on InGaP as the active region. If we realize red LEDs by InGaN, we can fabricate the monolithic RGB LEDs in a wafer. Such RGB integration will be a breakthrough for micro-LED displays that are the next generation after the OLED displays. In this seminar, the science of MOCVD, the growth of high-In-content InGaN, and the state-of-the-art InGaN-based red LEDs will be introduced.

Red-light LEDs for next-generation displays

1 min read ·
Novel red LEDs are more temperature stable than those made using the conventional semiconductor of choice.
<> LiDAR (3)

Xiaoyi Song

Xiaoyi Song received his Bachelor's degree in Electronic Science and Technology from the University of Electronic Science and Technology of China (UESTC) in 2022 and is currently pursuing a Master's degree at UESTC. Before joining KAUST, he engaged in research on magneto-optical integration and integrated photonics for three years. His research experience encompasses the deposition, design, and characterization of magneto-optical materials and photonic devices, including phase shifters and nonreciprocal components such as optical circulators. He has published a research paper in Photonics

Hongyan Yu

Postdoctoral Research Fellow, Electrical and Computer Engineering
Dr. Hongyan Yu is a Postdoctoral Fellow at the Integrated Photonics Laboratory (IPL) under the supervision of Prof. Yating Wan at King Abdullah University of Science and Technology (KAUST). Before joining KAUST, he received his B. S. degree in Material Physics from Harbin University of Science and Technology, in 2015, and M. Sc. degree in Optical Engineering from Beijing University of Technology, in 2019. He earned his Ph.D degree in Optical Engineering from Zhejiang University - Westlake University joint program, in 2023. Prior to joining IPL, Dr. Yu was a postdoctoral scholar at Hangzhou

Saud Alabdulal

Saud received his bachelor's degree in 2023 in Physics from King Fahad University of Petroleum and minerals (KFUPM). He is currently working towards a master’s degree under the supervision of Prof. Yating Wan at King Abdullah University of Science and Technology (KAUST). Research interests Saud’s research interests are in applications of integrated photonics for optical computing and LiDAR Education profile B.Sc.: King Fahad University of Petroleum and minerals (KFUPM) 2018-2023.
<> optimization (3) <> photovoltaics (3)

High Efficiency Photovoltaic Cells and their Applications to Green Hydrogen Production

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B4 L5 R5209

This lecture will review research trends of III-V compound semiconductor ultra-high efficiency photovoltaic (PV) cells based on multiple junctions and quantum well/dot approaches. It will also introduce field trials of highly efficient green hydrogen production through the direct connection of electrolyzers and concentrator PV modules with the above-mentioned compound semiconductor solar cells built-in.

Meet KAUST new student: Jin Yu

1 min read ·
Jin Yu is a physics graduate who joined KAUST in July 2021 from Nankai University (NKU), China. Before joining KAUST, Jin worked as an intern at Wake Forest University (WFU), North Carolina, U.S. After completing his studies at WFU, Jin served as a volunteer high school teacher at China Volunteer Association for almost a year.

Jin Yu

Jin Yu is a M.S./Ph.D. student in the electrical and computer engineering program and member of the Energy Conversion Devices and Materials (ECO Devices) Laboratory under the supervision of Professor Kazuhiro Ohkawa. Research Interests Jin Yu's research interests include photovoltaic and thermoelectric appliances.
<> Reinforcement Learning (3) <> AI4Science (2) <> communications (2) <> energy (2) <> Generative AI and LLMs (2) <> healthcare (2) <> ISAC (2) <> Large Language Models (2) <> LEDs (2) <> Localization (2) <> material science (2) <> materials science (2) <> Network Design (2) <> Non-Terrestrial Networks (2) <> optoelectronics (2) <> Photocatalysis phenomena (2) <> photocatalytic energy conversion (2)

Microstructural Analysis and Engineering of III-Nitride-Based Heterostructures for Optoelectronic Devices

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B1 L3 R3119

This dissertation presents a variety of methodological approaches to characterize, from a microstructural point of view, different properties of novel III-nitride-based heterostructures and devices. The results of the various characterizations contributed to developing novel LEDs and photocatalysts. The analyses and results presented in this dissertation strongly relied on the analytical capabilities offered by transmission electron microscopy, which proved to be a convenient and versatile tool for the characterization of many aspects related to the fabrication of III-nitride-based optoelectronic devices.

Martín Velázquez Rizo

Martín Velázquez Rizo obtained his Master's degree in Electrical Engineering under the supervision of Prof. Hossein Fariborzi at King Abdullah University of Science and Technology (KAUST). Martin has a B. Sc. degree in Physics from the Universidad Nacional Autónoma de México. During his undergraduate studies, he did research in Mexico as well as abroad. At the age of 23, he graduated from College (with honorable mention). One year later he came to KAUST to enroll in the M.S./Ph.D. program in Electrical Engineering. He is deeply interested in the physics behind the electronic devices that
<> Programming language (2) <> Python (2) <> quantum communication (2) <> semiconductors (2) <> solar energy (2) <> thermoelectric appliances (2) <> Wireless communication (2) <> Wireless Communications (2) <> 3D printing (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) <> ambit fields (1) <> applied mathematics (1) <> Arabic NLP (1) <> artificial photosynthesis (1) <> beamforming (1) <> bioimaging (1) <> biomechanics (1) <> Biomedical Signal Processing (1) <> biophotonics (1) <> bioscience (1) <> biotechnology (1) <> BLE communication (1) <> calculus of variations (1) <> Cellular Networks (1) <> Chaos Shift Keying (1) <> cloud- and fog-radio access networks (1) <> coding techniques for Terahertz (1) <> cognitive radio systems (1) <> communication (1) <> communication engineering (1) <> communication networks (1) <> communication systems (1) <> Compressed Sensing Approach (1) <> computational bioscience (1) <> computational methods (1) <> computational statistics (1) <> computer networks (1) <> Continual Learning (1) <> Cooperative networks (1) <> cross-layer optimization (1) <> Cultural Understanding (1) <> Cyber Security (1) <> cybersecurity (1) <> data analysis (1) <> Data Analyst (1) <> Data detection and decoding (1) <> Deep generative models (1) <> development (1) <> Diffusion Models (1) <> Digital Communications (1) <> Digital signal processing (1) <> discrete time series (1) <> Displays (1) <> Dynamical Systems (1) <> Electron Transport (1) <> embedded systems (1) <> Embedded systems. (1)