Topics

<> machine learning (28)

Bushra Bin Hemid

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

Echo Ziyi Yang

Ph.D. Student

Ting Li

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

Yanda Meng

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

Anwar Alshaibani

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

Racha Zayni

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

Yimeng Chen

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

Nanbo Li

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

Omar Ahmed

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

Dalal E. Aldossary

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

Zakaria El Kassimi

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

Jonathan Klein

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

Yibin Wang

Keep Moving forward

Andrea Vanessa Rocha

Research Specialist, Statistics
Chengjie zhao

Chengjie Zhao

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

Mohamed Ads

Visiting Student, King Abdullah University of Science and Technology

Hayssam Dahrouj

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

Karen Sanchez

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

Hani A. Al Majed

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

Ahmad Sait

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

Saleh AlJazzar

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

Muhammad Esmat

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

Yasser Jaber

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

Syed Abidullah Fareed

Visiting Student (former), Information Science Lab

Ahsan Mehmood

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

Abdulkarem Badiea Alshaibani

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

Wide Bandgap Semiconductor Device Design via Machine Learning

-

B2 L5 R5220

This dissertation presents novel approaches to the design of electrical and optical wide bandgap semiconductor devices, which opens new avenues for future research. It is possible that it might be used in a broad variety of sectors, including illumination, sensing, disinfection, and power devices by using TCAD and machine learning to deliver quick forecasts of the III-nitride semiconductor device.

Jingtao Li

Jingtao Li was a Visiting student from University of Electronic Science and Technology of China​, at the Advanced Semiconductor Laboratory, in King Abdullah University of Science and Technology (KAUST). He is now a full-time Ph.D. student at Arizona State University (ASU). Research Interest Jingtao's research interests included machine learning, graph theory, neural network-based deep learning algorithm, and corresponding hardware architecture design. He is currently focused on reliable deep learning accelerator design, which is suitable for security-critical applications such as autonomous
<> Computer Vision (13)

Reem Alzahrani

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

Ansar Khangeldin

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

Drishya Karki

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

Nanbo Li

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

Omar Ahmed

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

Dalal E. Aldossary

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

Adonai Vera

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

Abdelrahman Eldesokey

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

Najmeddine Dhieb

Karen Sanchez

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

Aznaur Aliev

M.S. Student

Hani A. Al Majed

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

Ahmad Sait

M.S. Student, Computer Science
Ahmad Sait is a Master's student in the Computer Science program at KAUST. Before joining KAUST, Ahmad obtained his Bachelor's degree in Computer Science from King Abdulaziz University, Saudi Arabia. Ahmad is also a KAUST Academy graduate from the AI track, having been under the supervision of Prof. Naeemullah Khan. The Academy provided him with seven opportunities to assist in teaching students enrolled in subsequent cohorts.
<> deep learning (12)

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)
<> artificial intelligence (11)

Bushra Bin Hemid

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

Yanda Meng

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

Omar Ahmed

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

Salem Al-saqaf

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

Najmeddine Dhieb

Mohamed Ads

Visiting Student, King Abdullah University of Science and Technology

Yasmeen Alsaedy

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

Yasser Jaber

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

Syed Abidullah Fareed

Visiting Student (former), Information Science Lab

Ahmed Youssef Ragab Radwan

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

We launch the first artificial intelligence (AI) tool for III-nitride semiconductors!

1 min read ·
Since the research of III-nitride LED and lasers started decades ago, the device design has been largely determined by deliberate device simulation or referring to prior arts. Recently, the activities of artificial intelligence (AI) through machine learning (ML) such as AlphaGo has prompted us to think about integrating this powerful technique into the LED and laser research to make the research process more efficient with the eventual goal of improving device performance.
<> Signal processing (10)

Racha Zayni

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

Reem Arnaout

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

Serine Medjber

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

Mohammed Amine Labbas

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

Chengjie Zhao

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

Almutasem Bellah Enad

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

Ahmad Dkhan

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

Saleh AlJazzar

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

Alaa Alameer Ahmad

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

Abdullatif Al-Rabah

MS Degree, Computer, Electrical and Mathematical Sciences and Engineering at King Abdullah University of Science and Technology (KAUST).
<> numerical analysis (9)

Lajos Lóczi

Lajos Lóczi research focuses on the symbolic aspects of numerical methods for differential equations.

Abdul-Lateef Haji-Ali

Shyam Mohan Subbiah Pillai

Abderrahmene Ben Romdhane

Arved Bartuska

Postdoctoral Research Fellow, Stochastic Numerics Research Group
Georgios Grekas

Georgios Grekas

Postdoctoral Research Fellow, Applied Mathematics and Computational Science
Georgios Grekas research focuses on mathematical modeling (biomechanics, solid mechanics), numerical analysis, scientific and parallel computing, and scientific machine learning.

Zhongjie Ren

Zhongjie Ren was an Intern Student from Huazhong University of Science and Technology (HUST)​​, at the Advanced Semiconductor Laboratory, in King Abdullah University of Science and Technology (KAUST). Research Interests Zhongjie's research interests included Nanomaterials and Numerical analysis.

Xinwei Liu

Xinwei Liu was a visiting student from Huazhong University of Science and Technology (HUST)​​, at the Advanced Semiconductor Laboratory, in King Abdullah University of Science and Technology (KAUST). Research Interests Xinwei's research interests included Nanomaterials and Numerical analysis. Education Profile M.S. Electrical and Computer Engineering, Cockrell School of Engineering, The University of Texas, Austin (2018 - 2020) B.S. Electrical science and technology, Huazhong University of Science and Technology, Wuhan, Hubei, China(2014 - 2018) Professional Memberships Mar 2015-Jun 2016

Renad A. Aljefri

Renad A. Aljefri was a visiting student from Effat University​​, at the Advanced Semiconductor Laboratory, in King Abdullah University of Science and Technology (KAUST). Research Interests Renad's research interests included Biological networks and interactions, Electromagnetics and optoelectronics, Nanomaterials, and Numerical analysis. Selected Publications Photoinduced entropy of InGaN/GaN p-i-n double-heterostructure nanowires Nasir Alfaraj, Somak Mitra, Feng Wu, Idris A. Ajia, Bilal Janjua, Aditya Prabaswara, Renad A. Aljefri, Haiding Sun, Tien Khee Ng, Boon S. Ooi, Iman S. Roqan
<> cybersecurity (8) <> Electromagnetics and optoelectronics (8)

Welcome Che-Hao to join us as a postdoctoral fellow from National Taiwan University!

1 min read ·
Welcome Che-Hao to join us as a postdoctoral fellow from National Taiwan University!

Ronghui has successfully passed the Ph.D. Proposal Exam today! Congratulations!

1 min read ·
Ronghui has successfully passed the Ph.D. Proposal Exam today! Congratulations!

Sergio Valdes Galan

Sergio Valdes Galan was a Visiting student from Tecnológico de Monterrey, Mexico, at the Advanced Semiconductor Laboratory, in King Abdullah University of Science and Technology (KAUST). Research Interests Sergio,s research interests included Electromagnetics, and Optoelectronics​, Solar Energy, and LiFi.

Renad A. Aljefri

Renad A. Aljefri was a visiting student from Effat University​​, at the Advanced Semiconductor Laboratory, in King Abdullah University of Science and Technology (KAUST). Research Interests Renad's research interests included Biological networks and interactions, Electromagnetics and optoelectronics, Nanomaterials, and Numerical analysis. Selected Publications Photoinduced entropy of InGaN/GaN p-i-n double-heterostructure nanowires Nasir Alfaraj, Somak Mitra, Feng Wu, Idris A. Ajia, Bilal Janjua, Aditya Prabaswara, Renad A. Aljefri, Haiding Sun, Tien Khee Ng, Boon S. Ooi, Iman S. Roqan

Kaikai Liu

Kaikai Liu was a Visiting student from Huazhong University of Science and Technology (HUST)​, at the Advanced Semiconductor Laboratory, in King Abdullah University of Science and Technology (KAUST). Research Interests Kaikai's research interests included ​FDTD simulation for optical grating, Electromagnetics, and optoelectronics.

Jingtao Li

Jingtao Li was a Visiting student from University of Electronic Science and Technology of China​, at the Advanced Semiconductor Laboratory, in King Abdullah University of Science and Technology (KAUST). He is now a full-time Ph.D. student at Arizona State University (ASU). Research Interest Jingtao's research interests included machine learning, graph theory, neural network-based deep learning algorithm, and corresponding hardware architecture design. He is currently focused on reliable deep learning accelerator design, which is suitable for security-critical applications such as autonomous

Hamad Alotaibi

Hamad Alotaibi was a Visting Ph.D. student from King Fahd University of Petroleum and Minerals (KFUPM)​​​​​, at the Advanced Semiconductor Laboratory, in King Abdullah University of Science and Technology (KAUST). Research Interests Hamad's research interests included Spectroscopic and Microscopic imaging systems, Electromagnetics and optoelectronics, Fluid mechanics. Education Profile M.S. Student Electrical Engineering, King Fahd University of Petroleum and Minerals (KFUPM)​​​​​, Saudi Arabia B.S. ​​​Electrical Engineering, King Fahd University of Petroleum and Minerals (KFUPM), Saudi Arabia

Guozheng Zhang

Guozheng Zhang was a Visting student from the Hebei University of Technology​​​​, at the Advanced Semiconductor Laboratory, in King Abdullah University of Science and Technology (KAUST). Research Interests Guozheng's research interests included Electromagnetics and optoelectronics, and Solar Energy.
<> UV LED (8)

Haiding's APL paper is highlighted by Compound Semiconductor!

1 min read ·
Haiding's APL paper is highlighted by Compound Semiconductor!

Xiaobin's paper on UV LED communication is selected as the work of the week this week of Compound Semiconductor!

1 min read ·
Xiaobin's paper on UV LED communication is selected as the work of the week this week of Compound Semiconductor!

Haiding's paper on KOH conditioning of nanowire UV LED got accepted by ACS Photonics!

1 min read ·
Haiding's paper on KOH conditioning of nanowire UV LED got accepted by ACS Photonics!

Compound Semiconductor: KAUST Team Cleans Nanowires For More Efficient UV LEDs

1 min read ·
Compound Semiconductor: KAUST Team Cleans Nanowires For More Efficient UV LEDs

Shahab's paper on using bending strain to improve UV LED efficiency is accepted by JPD!

1 min read ·
Shahab's paper on using bending strain to improve UV LED efficiency is accepted by JPD!

Ronghui's paper on improving UV LED extraction efficiency of TM light gets accepted by Photonics Research!

1 min read ·
Ronghui's paper on improving UV LED extraction efficiency of TM light gets accepted by Photonics Research!

Zhongjie and Yi's paper on the first UV LED without Electron Blocking Layer is accepted by IEEE Photonics Journal!

1 min read ·
Zhongjie and Yi's paper on the first UV LED without Electron Blocking Layer is accepted by IEEE Photonics Journal!

Yi's paper on N-polar AlGaN-based UV LED with Grading Quantum Barriers is accepted by Acta Photonica Sinica!

1 min read ·
Yi's paper on N-polar AlGaN-based UV LED with Grading Quantum Barriers is accepted by Acta Photonica Sinica!
<> electrical engineering (7)

Keeping the heat out

1 min read ·
Insights into the thermal behavior of metal-nitride nanowires could open new avenues in optical electronics.

Semiconductors with an aligned interface

1 min read ·
Efficiency gains come from tuning the properties of semiconducting materials by combining layers of different composition.

Taking control at the junction

1 min read ·
Fine tuning the composition of nitride alloys can further the development of optical and electronic interface devices.

Building crystals on a very hot surface

1 min read ·
An innovative chemical reactor for depositing semiconductors at very high temperatures draws on the strength of Saudi Arabia’s chemical industry.

Controlling the crystal structure of gallium oxide

1 min read ·
Precise control of the atomic structure of gallium oxide layers improves the development of high-power electronic devices.

Flat lenses with a twist!

1 min read ·
Overlaying two film layers patterned with a nanoscale array can manipulate the propagation of light to create a powerful ultrathin lens.

Breaking records like baking bread

1 min read ·
Researchers have made unparalleled ultrawide-bandgap semiconductors through temperature and timing, just like baking bread.
<> internships (7) <> 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).
<> laser (7)

Prof Li presented invited talks at CSU and NUDT in Changsha, China

1 min read ·
Prof Li presented invited talks at CSU and NUDT in Changsha, China.

Prof Xiaohang Li gets highlighed in KAUST News!

1 min read ·
Xiaohang Li is an assistant professor of electrical engineering in the University’s Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division. He received his B.S. degree in applied physics from Huazhong University of Science and Technology (China); his M.S. degree in electrical engineering from Lehigh University (U.S.); and his Ph.D. in electrical engineering from Georgia Tech (U.S.).

UESTC students visit CEMSE Laboratories during a one week Winter Camp at KAUST

1 min read ·
Twenty-two undergraduate students from the University of Electronic Science and Technology of China (UESTC), Chengdu, are currently visiting the CEMSE Division as part of one week Winter Camp at KAUST.

KAUST's Professor Xiaohang Li wins the Manasevit Young Investigator Award 2018

1 min read ·
KAUST's Professor Xiaohang Li, Lead of the Advanced Semiconductor Research Group and assistant professor of electrical engineering at CEMSE Division, won the biennial 2018 Harold M. Manasevit Young Investigator Award for his significant and innovative contributions in the MOCVD growth of state-of-the-art deep UV lasers, B-III-N alloys, III-oxides, and blue and green emitters.

Haiding's paper on semiconductor UV laser is accepted by ACS Photonics

1 min read ·
Haiding's paper on semiconductor UV laser is accepted by ACS Photonics!

Ronghui’s paper about the on-chip hyperuniform lasers is accepted by Laser & Photonics Reviews!

1 min read ·
Ronghui’s paper about the on-chip hyperuniform lasers enable controllable transitions in disordered systems is accepted by Laser & Photonics Reviews! Please contact Prof Li for more info.

KAUST Ph.D. student receives SPIE 2020 Optics and Photonics Education Scholarship

1 min read ·
Ronghui Lin, a Ph.D. student under the supervision of Professor Xiaohang Li, has been awarded an SPIE 2020 Optics and Photonics Education Scholarship for his “potential long-range contribution to optics, photonics, or other related fields.”
<> nanomaterials (7)
Mario Soto

Mario Soto Martinez

Ph.D. Student, Bioengineering

Fei Xiang

Welcome Che-Hao to join us as a postdoctoral fellow from National Taiwan University!

1 min read ·
Welcome Che-Hao to join us as a postdoctoral fellow from National Taiwan University!

Zhongjie Ren

Zhongjie Ren was an Intern Student from Huazhong University of Science and Technology (HUST)​​, at the Advanced Semiconductor Laboratory, in King Abdullah University of Science and Technology (KAUST). Research Interests Zhongjie's research interests included Nanomaterials and Numerical analysis.

Xinwei Liu

Xinwei Liu was a visiting student from Huazhong University of Science and Technology (HUST)​​, at the Advanced Semiconductor Laboratory, in King Abdullah University of Science and Technology (KAUST). Research Interests Xinwei's research interests included Nanomaterials and Numerical analysis. Education Profile M.S. Electrical and Computer Engineering, Cockrell School of Engineering, The University of Texas, Austin (2018 - 2020) B.S. Electrical science and technology, Huazhong University of Science and Technology, Wuhan, Hubei, China(2014 - 2018) Professional Memberships Mar 2015-Jun 2016

Renad A. Aljefri

Renad A. Aljefri was a visiting student from Effat University​​, at the Advanced Semiconductor Laboratory, in King Abdullah University of Science and Technology (KAUST). Research Interests Renad's research interests included Biological networks and interactions, Electromagnetics and optoelectronics, Nanomaterials, and Numerical analysis. Selected Publications Photoinduced entropy of InGaN/GaN p-i-n double-heterostructure nanowires Nasir Alfaraj, Somak Mitra, Feng Wu, Idris A. Ajia, Bilal Janjua, Aditya Prabaswara, Renad A. Aljefri, Haiding Sun, Tien Khee Ng, Boon S. Ooi, Iman S. Roqan

Jingtao Li

Jingtao Li was a Visiting student from University of Electronic Science and Technology of China​, at the Advanced Semiconductor Laboratory, in King Abdullah University of Science and Technology (KAUST). He is now a full-time Ph.D. student at Arizona State University (ASU). Research Interest Jingtao's research interests included machine learning, graph theory, neural network-based deep learning algorithm, and corresponding hardware architecture design. He is currently focused on reliable deep learning accelerator design, which is suitable for security-critical applications such as autonomous
<> 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.
<> advanced semiconductors (6)

Ultra-Wide Bandgap Semiconductors for Future of Moore’s Law

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This colloquium will discuss the latest material, device and high density IC research based on ultra-wide bandgap semiconductors for the future of Moore’s Law at the Advanced Semiconductor Laboratory (ASL) at King Abdullah University of Science and Technology (KAUST).

High-Mobility Back-End-of-Line Compatible Indium Oxide Thin-Film Transistors for Monolithic 3D Integration

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B2 L5 R5209

This dissertation develops strategies for fabricating high-performance, low-temperature processed indium oxide thin-film transistors for monolithic 3D integration, achieving record mobility and stability through optimized annealing, passivation, and channel engineering techniques.

A new interface for efficient electronics

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Two forms of gallium oxide come together in a "phase heterojunction" to create a sensitive ultraviolet detector.

Becoming a powerhouse of semiconductor expertise

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KAUST Compound Semiconductor Weekend brought together a diverse group of experts to discuss the most important research areas of semiconductor technology and the substantial compound semiconductor work done in Saudi Arabia and India.

Na Xiao

Na Xiao's research focuses on developing high-mobility back-end-of-line (BEOL) compatible indium oxide (In2O3) thin-film transistors (TFTs) for monolithic 3D integration (M3DI).

Glen Isaac Maciel García

Ph.D. Student, Applied Physics
<> LED (6)

Prof Li presented invited talks at CSU and NUDT in Changsha, China

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Prof Li presented invited talks at CSU and NUDT in Changsha, China.

Prof Xiaohang Li gets highlighed in KAUST News!

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Xiaohang Li is an assistant professor of electrical engineering in the University’s Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division. He received his B.S. degree in applied physics from Huazhong University of Science and Technology (China); his M.S. degree in electrical engineering from Lehigh University (U.S.); and his Ph.D. in electrical engineering from Georgia Tech (U.S.).

Xiaobin's (PL) paper based on UVB LED communication got accepted by Optics Express!

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UVB LED

Xiaobin's (PL) paper based on UVB LED communication got accepted by Optics Express!

KAUST's Professor Xiaohang Li wins the Manasevit Young Investigator Award 2018

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KAUST's Professor Xiaohang Li, Lead of the Advanced Semiconductor Research Group and assistant professor of electrical engineering at CEMSE Division, won the biennial 2018 Harold M. Manasevit Young Investigator Award for his significant and innovative contributions in the MOCVD growth of state-of-the-art deep UV lasers, B-III-N alloys, III-oxides, and blue and green emitters.

KAUST Ph.D. student receives SPIE 2020 Optics and Photonics Education Scholarship

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Ronghui Lin, a Ph.D. student under the supervision of Professor Xiaohang Li, has been awarded an SPIE 2020 Optics and Photonics Education Scholarship for his “potential long-range contribution to optics, photonics, or other related fields.”

Hsin-Hung Yao

Postdoctoral Research Fellow, Advanced Semiconductor Laboratory
Hsin-Hung Yao was a Postdoctoral Fellow working under the supervision of Prof. Xiaohang Li at the Advanced Semiconductor Laboratory at King Abdullah University of Science and Technology (KAUST). Research Interests Dr. Yao’s research interests are the application of nitride-based semiconductor materials. They include novel devices design, device structure growth (Epitaxy by MOCVD system), fabrication and characteristic measurement of a device. Recently, his interests include super-wide materials (Al-rich material, and so on) growth by MOCVD system on various substrates (Sapphire, SiC, and Si)
<> MOCVD (6)

Kuang-Hui and Hamad filed a U.S. patent application on their ground-breaking MOCVD technologies!

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Kuang-Hui and Hamad filed a U.S. patent application on their ground-breaking MOCVD technologies!

Kuang-Hui and Hamad filed the second U.S. patent application on their ground-breaking MOCVD technologies!

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Kuang-Hui and Hamad filed the second U.S. patent application on their ground-breaking MOCVD technologies!

Kuang-Hui delivered two contributed talks on extremely high-temperature MOCVD reactors at OMVPE Conference in Santa Fe, USA!

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Kuang-Hui delivered two contributed talks on extremely high-temperature MOCVD reactors at OMVPE Conference in Santa Fe, USA!

Kuang-Hui's paper on extremely high temperature MOCVD gets accepted by Journal of Crystal Growth!

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Kuang-Hui's paper on extremely high-temperature MOCVD gets accepted by the Journal of Crystal Growth!

Haiding's paper on MOCVD growth of three phrases gets accepted by Crystal Growth & Design!

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Haiding's paper on MOCVD growth of three phrases gets accepted by Crystal Growth & Design!

Haiding Sun

Postdoctoral Research Fellow, Advanced Semiconductor Laboratory
Haiding Sun was a Postdoctoral Research Fellow working with Professor Xiaohang Li at the Advanced Semiconductor Laboratory at King Abdullah University of Science and Technology (KAUST). Education and Early Career Dr. Sun received his Ph.D. in Electrical Engineering from Boston University, Massachusetts, in the United States in 2015. His Ph.D. dissertation title was “Development of Aluminum Gallium Nitride-Based Emitters In The Form of Graded-Index Separate Confinement Heterostructure (GRINSCH)." Research Interests Dr. Sun ’s research works cover various aspects of semiconductor device designs
<> semiconductors (6)

Nasir's APL gets published! The first demonstration of a link between the energy exchanged during the light-solid reaction and the thermodynamic entropy of nanowire structures

1 min read ·
In this paper,1 we investigated the photoinduced entropy of InGaN/GaN p-i-n nanowires using temperature-dependent (6–290 K) photoluminescence. We also analyzed the photocarrier dynamics in the InGaN active regions using time-resolved photoluminescence. An increasing trend in the amount of photoinduced entropy of the system above 250 K was observed, while we observed an oscillatory trend in the generated entropy of the system below 250 K that stabilizes between 200 and 250 K. Strong exciton localization in indium-rich clusters, carrier trapping by surface defect states, and thermodynamic entropy effects were examined and related to the photocarrier dynamics. We conjectured that the amount of photoinduced entropy of the system increases as more non-radiative channels become activated and more shallowly localized carriers settle into deeply localized states; thereby, additional degrees of uncertainty related to the energy of states involved in thermionic transitions are attained.

Building crystals on a very hot surface

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An innovative chemical reactor for depositing semiconductors at very high temperatures draws on the strength of Saudi Arabia’s chemical industry.

Controlling the crystal structure of gallium oxide

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Precise control of the atomic structure of gallium oxide layers improves the development of high-power electronic devices.

Meet KAUST prospective student: Jose Manuel Taboada Vasquez

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Jose Manuel Taboada Vasquez is a B.Sc. graduate in nanoscience and nanotechnology from the National Autonomous University of Mexico (UNAM), Mexico. He will join KAUST in the fall of 2020 as a M.S./Ph.D. candidate, and member of the Advanced Semiconductor Laboratory under the supervision of Professor Xiaohang Li.

Meet KAUST prospective student: Zhiyuan Liu

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Zhiyuan Liu, 22, is an electrical engineering graduate from the University of Electronic Science and Technology of China, China. Zhiyuan will join KAUST in the fall of 2020 as a M.S./Ph.D. candidate and member of the Advanced Semiconductor Laboratory under the supervision of Professor Xiaohang Li.

Meet KAUST prospective student: Dhanu Chettri

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Dhanu Chettri holds a master’s degree in electronic and communication engineering from Manipur University, India. Before joining KAUST, he worked as a senior project fellow at Council of Scientific and Industrial Research-Central Electronics Engineering Research Institute (CSIR-CEERI). Dhanu will join KAUST this fall as a Ph.D. candidate and member of the Advanced Semiconductor Laboratory under the supervision of Professor Xiaohang Li.
<> Ultrawide bandgap materials (6) <> uncertainty quantification (6) <> AI (5) <> Cyber Security (5) <> ISAC (5)
kaust-cemse-ece-ccsl-changhao-he

Changhao He

kaust-cemse-ece-ccsl-yousef-awad

Yousef Awad

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

Bumin Kagan Yildirim

Bang Huang

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

Xiaowei Pang

Postdoctoral Research Fellow, Electrical and Computer Engineering
Xiaowei Pang is currently a Postdoctoral Research Fellow at the Computer Electrical and Mathematical Sciences and Engineering Division (CEMSE), King Abdullah University of Science and Technology (KAUST), working with Professor Mohamed-Slim Alouini in the Communication Theory Lab (CTL). Education and Early Career Xiaowei Pang received her B.S. degree in Telecommunication Engineering from Northwestern Polytechnical University, Xi'an, China, in 2018, and her Ph.D. degree in Information and Communication Engineering from Dalian University of Technology, Dalian, China, in 2024. From 2021 to 2022
<> Python (5) <> Reinforcement Learning (5)

Ansar Khangeldin

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

Echo Ziyi Yang

Ph.D. Student

Kaiqiang Lin

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

Mohammed Alwagait

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

Aznaur Aliev

M.S. Student
<> conference (4) <> integrated photonics (4)
KAUST-CEMSE-ECE-IPL-Nikita-Kondratyev

Nikita Kondratyev

Mikhail Mishevskii

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

Aleksandr Movsisian

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

Aram Mkrtchyan

Postdoctoral Research Fellow, Electrical and Computer Engineering
<> Large Language Models (4) <> nanowires (4)

Nasir's APL gets published! The first demonstration of a link between the energy exchanged during the light-solid reaction and the thermodynamic entropy of nanowire structures

1 min read ·
In this paper,1 we investigated the photoinduced entropy of InGaN/GaN p-i-n nanowires using temperature-dependent (6–290 K) photoluminescence. We also analyzed the photocarrier dynamics in the InGaN active regions using time-resolved photoluminescence. An increasing trend in the amount of photoinduced entropy of the system above 250 K was observed, while we observed an oscillatory trend in the generated entropy of the system below 250 K that stabilizes between 200 and 250 K. Strong exciton localization in indium-rich clusters, carrier trapping by surface defect states, and thermodynamic entropy effects were examined and related to the photocarrier dynamics. We conjectured that the amount of photoinduced entropy of the system increases as more non-radiative channels become activated and more shallowly localized carriers settle into deeply localized states; thereby, additional degrees of uncertainty related to the energy of states involved in thermionic transitions are attained.

Haiding's paper on KOH conditioning of nanowire UV LED got accepted by ACS Photonics!

1 min read ·
Haiding's paper on KOH conditioning of nanowire UV LED got accepted by ACS Photonics!

Compound Semiconductor: KAUST Team Cleans Nanowires For More Efficient UV LEDs

1 min read ·
Compound Semiconductor: KAUST Team Cleans Nanowires For More Efficient UV LEDs

Davide's paper about enhanced electro-optic performance of surface-treated AlGaN nanowires is accepted by Optical Materials Express!

1 min read ·
Davide's paper about enhanced electro-optic performance of surface-treated AlGaN nanowires is accepted by Optical Materials Express!
<> UV Lasers (4) <> data analysis (3) <> deep uv laser (3) <> device fabrication (3) <> electronics (3) <> embedded systems (3) <> Generative AI and LLMs (3) <> grants (3) <> haps (3)

Bang Huang

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

Xiaowei Pang

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

Hussein Al-Shatri

I chose KAUST because of its reputation for excellence in research and its recent emphasis on applied research. With my extensive background in both academic research and industrial development, I am excited to contribute my experience and ambition. My goal is to foster new ideas and develop innovative prototypes in the field of wireless communications, which will undoubtedly enhance people's lives.
<> LiDAR (3) <> LLM (3) <> MATLAB (3) <> MOCVD growth (3) <> Nonlinear Optics (3) <> optimization (3) <> optoelectronics (3) <> PDEs (3) <> photonics (3) <> remote sensing (3) <> sensors (3) <> solar cells (3) <> wireless communication (3) <> Wireless Communications (3) <> 6G (2) <> Advanced Perception (2) <> AI4Science (2) <> AlN epitaxy (2) <> applied mathematics (2) <> Automous Vehicles (2) <> biomedical devices (2) <> bioscience (2) <> communication (2) <> Computational Neuroscience (2) <> Deep generative models (2) <> Digital signal processing (2) <> Dynamical Systems (2) <> Electroencephalograms (2) <> Fluid Mechanics (2) <> FPGA (2) <> Free-space optical communications (2) <> Gallium oxide (2) <> GaN-based electronics (2) <> healthcare (2) <> HPC (2) <> III-nitride semiconductors (2) <> Laser Diodes (2) <> Localization (2) <> machine learning for wireless communication (2) <> Materials (2) <> microfluidics (2) <> Multi-Modal Large Language Models (2) <> multimodal AI (2) <> multimodal sensing (2) <> nano-engineering (2) <> nanoelectronics (2) <> nanofabrication (2) <> Network Design (2) <> Nitride Semiconductors (2) <> nlp (2) <> Non-Terrestrial Networks (2) <> numerical methods (2) <> optical communication (2) <> optical computing (2) <> PhD student (2) <> photonic integrated circuits (2) <> power electronics (2) <> precision agriculture (2) <> Programming language (2) <> quantum communication (2) <> robotics (2)