Topics

<> machine learning (26)

Bushra Bin Hemid

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

Echo Ziyi Yang

Ph.D. Student

Ting Li

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

Yanda Meng

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

Anwar Alshaibani

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

Racha Zayni

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

Yimeng Chen

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

Nanbo Li

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

Omar Ahmed

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

Dalal E. Aldossary

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

Zakaria El Kassimi

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

Jonathan Klein

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

Yibin Wang

Keep Moving forward

Andrea Vanessa Rocha

Research Specialist, Statistics
Chengjie zhao

Chengjie Zhao

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

Mohamed Ads

Visiting Student, King Abdullah University of Science and Technology

Hayssam Dahrouj

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

Karen Sanchez

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

Hani A. Al Majed

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

Ahmad Sait

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

Saleh AlJazzar

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

Muhammad Esmat

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

Yasser Jaber

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

Syed Abidullah Fareed

Visiting Student (former), Information Science Lab

Ahsan Mehmood

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

Abdulkarem Badiea Alshaibani

MS Student at the Information Science Lab at the King Abdullah University of Science and Technology (KAUST).
<> computational electromagnetics (17)

Simulation of Metasurfaces Described by Generalized Sheet Transition Conditions Using Integral Equations

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B9 L2 R2325

This seminar outlines the development of computationally efficient integral equation solvers that simulate complex multiscale metasurfaces by modeling their physical geometries as infinitesimally thin sheets governed by generalized sheet transition conditions, thereby avoiding the need for full volumetric discretization.

Efficient and Accurate Numerical Techniques for Sparse Electromagnetic Imaging

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KAUST

In this thesis, efficient solutions are sought out to fundamental problems in Electromagnetic (EM) imaging that determines the shape, location, and material properties of an (unknown) object of interest in an investigation domain from the scattered field measured away from it. The solution of an EM inverse scattering problem inherently poses two main challenges: (i) non-linearity, since the scattered field is a non-linear function of the material properties and (ii) ill-posedness, since the integral operator has a smoothing effect and the number of measurements is finite in dimension and they are contaminated with noise. The non-linearity is tackled incorporating a multitude of techniques (ranging from Born approximation (linear), inexact Newton (linearized) to complete non-linear iterative Landweber schemes) that can account for weak to strong scattering problems. The ill-posedness of the EM inverse scattering problem is circumvented by formulating the above methods into a minimization problem with a sparsity constraint, which assumes that the dimension of the unknown object relative to the investigation domain is much smaller. Numerical experiments, which are carried out using synthetically generated measurements, show that the images recovered by these sparsity-regularized methods are sharper and more accurate than those produced by existing methods. The methods developed in this work have potential application areas ranging from oil/gas reservoir engineering to biological imaging where sparse domains naturally exist.

Prof. Hakan Bagci Elevated to Senior Member of IEEE

1 min read ·
Prof. Hakan Bagci has been elevated to the rank of Senior Member of IEEE. This is considered an important honor since only 8% of nearly 400,000 IEEE members are Senior Members because of their superior professional achievements.

Professor Bagci Elevated to Senior Membership Status of the International Union of Radio Science

1 min read ·
Hakan Bagci, KAUST Associate Professor of electrical engineering, was recently elevated to Senior Membership of the International Union of Radio Science (URSI) for his research achievements in the field of computational electromagnetics, and his long-standing involvement in the URSI, which includes serving on several conference technical program committees and editorial boards of journals.

Sebastian Celis Sierra

Postdoctoral Research Fellow, Electrical and Computer Engineering

Ruitao Sun

Education Ph.D. student, Electrical and Computer Engineering, Division of Computer, Electrical and Mathematical Science and Engineering (CEMSE), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia, 2021-present M.S., Material Engineering, Shanghai Jiao Tong University, Shanghai, China, 2018-2021 B.S., Mechanical Manufacture and Automation, Central South University, Changsha, China, 2014-2018 Research Interests Computational electromagnetics Dissemination Google Scholar ORCID

Rui Chen

Postdoctoral Research Fellow, Computational Electromagnetics
Rui Chen is a Postdoctoral Research Fellow working with Professor Hakan Bagci at the Computational Electromagnetics (CEM) research group at King Abdullah University of Science and Technology (KAUST). Education Ph.D. degree, Electrical and Computer Engineering, Division of Computer, Electrical and Mathematical Science and Engineering (CEMSE), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia, 2015-2021. M.S., Electromagnetic Field and Microwave Technology, Nanjing University of Science and Technology, Nanjing, China, 2010-2015. B.S., Communication Engineering

Ran Zhao

Postdoctoral Research Fellow, Electrical and Computer Engineering
Education Ph.D. in Electromagnetic Field and Microwave Technology, University of Electronic Science and Technology of China, Chengdu, China, 2011-2016 B.S. in Electronic Engineering, Anhui University, Hefei, China, 2007-2011 Professional Appointments Postdoctoral Research Fellow in Electrical and Computer Engineering, Division of Computer, Electrical and Mathematical Science and Engineering (CEMSE), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia, 2019-present Assistant professor in the school of Electronic and Information Engineering, Anhui University, Hefei

Ming Dong

Education Ph.D. student, Electrical and Computer Engineering, Division of Computer, Electrical and Mathematical Science and Engineering (CEMSE), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia, 2019-present M.S., Electrical Engineering, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia, 2017-2018 B.S., Electronic Information Science and Technology, Lanzhou University, Lanzhou, China Research Interests Computational physics (electromagnetics, semiconductor devices, multiphysics modeling) Application of TD-FEM solver and DGTD solver

Meruyert Khamitova

Education M.S. student, Electrical and Computer Engineering, Division of Computer, Electrical and Mathematical Science and Engineering (CEMSE), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia, 2020-present B.S., Electrical and Computer Engineering, Nazarbayev University, Nur-Sultan, Kazakhstan, 2015-2020 Research Interests Computational electromagnetics Dissemination Google Scholar ORCID

Mehmet Burak Ozakin

Postdoctoral Research Fellow, Electrical and Computer Engineering
Education Ph.D., Department of Electronic Engineering, Gebze Technical University, Kocaeli, Turkey, 2017 M.S., Department of Electronic Engineering, Gebze Technical University, Kocaeli, Turkey, 2011 B.S., Department of Electronic Engineering, Gebze Technical University, Kocaeli, Turkey, 2009 Professional Appointments Postdoctoral Research Fellow in Electrical and Computer Engineering, Division of Computer, Electrical and Mathematical Science and Engineering (CEMSE), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia, 2017-present Research Assistant in Department

Lingqi Gao

Education Ph.D. Student, Electrical and Computer Engineering, Division of Computer, Electrical and Mathematical Science and Engineering (CEMSE), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia, 2022-present M.S., Applied Geophysics, College of geoexploration Science and Technology, Jilin University, Changchun, China, 2019-2022 B.S., Applied Geophysics, College of geoexploration Science and Technology, Jilin university, Changchun, China, 2015-2019 Research Interests Computational electromagnetics Inverse problems in electromagnetics Dissemination Google Scholar

Junze Shao

Education Ph.D. Student, Electrical and Computer Engineering, Division of Computer, Electrical and Mathematical Science and Engineering (CEMSE), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia, 2023-present M.S., Electronic Science and Technology , University of Electronic Science and Technology of China ( UESTC ), Chengdu , Sichuan, China , 20 20 -20 23 B.S., Electronic Science and Technology, University of Electronic Science and Technology of China (UESTC), Chengdu, Sichuan, China, 2016-2020 Research Interests Computational electromagnetics Dissemination

Kaikun Niu

Postdoctoral Research Fellow, Electrical and Computer Engineering
Education Ph.D., Electromagnetic field and microwave technology, School of electronics and information engineering, Anhui University, Hefei, China, 2019 B.S., Engineering in electronics and information engineering, School of electronics and Information engineering, Anhui University, Hefei, China, 2014 Professional Appointments Postdoctoral Research Fellow in Electrical and Computer Engineering, Division of Computer, Electrical and Mathematical Science and Engineering (CEMSE), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia, 2019-2020 Visiting Student in

Hakan Bagci

Professor Bagci is a highly accomplished researcher in the field of computational electromagnetics (CEM). His research focuses on the theoretical and applied aspects of CEM.

Doolos Aibek Uulu

Education Ph.D. Student, Electrical and Computer Engineering, Division of Computer, Electrical and Mathematical Science and Engineering (CEMSE), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia, 2017-present M.S., Material Science and Nanotechnology, Bilkent University, Ankara, Turkey, 2015-2017 B.S., Department of Physics, Middle East Technical University (METU), Ankara, Turkey, 2010-2015 Professional Appointments Research Assistant in Material Science and Nanotechnology, Bilkent University, Ankara, Turkey, 2015-2017 Research Interests Computational

Ali Imran Sandhu

Education Ph.D. Student, Electrical and Computer Engineering, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia, 2010-present M.S., Communication Engineering, Chalmers University of Technology Sweden, Sweden, 2008-2010 B.S., Electronics Engineering, Comsats University Islamabad, Pakistan, 2003-2007 Professional Appointments Research Engineer, European Project FLEXWIN, University of Calabria, Italy, September 2011 Lecturer, Electrical Engineering Department, Comsats University Islamabad (CUI), Lahore, Pakistan, October 2007 Research Interests Computational
<> 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 (10)

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)
<> 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)
Thomas Simon Spencer Trigo Trindade

Thomas Trigo Trindade

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.

Sadeed B. Sayed and Ismail E. Uysal ranked in the student paper competition at the ACES Conference

1 min read ·
Ph.D. students Sadeed B. Sayed and Ismail E. Uysal working in the Computational Electromagnetics Group led by Prof. Hakan Bagci ranked 3rd and 5th in the student paper competition at the 30th International Conference

Sadeed Bin Sayed

Sadeed Bin Sayed is a Ph.D. candidate in Electrical engineering at King Abdullah University of Science and Technology (KAUST) under the supervision of Professor Hakan Bagci. He received his B.Tech. degree in electronics and communication engineering from the National Institute of Technology Calicut, Calicut, India, in 2004, and the M.Tech. degree in communications engineering from the Indian Institute of Technology Delhi, New Delhi, India, in 2007. From July 2007 to May 2008, he worked as a Member with Technical Staff Digibee Microsystems, Bangalore, India. In May 2008, he joined as an
<> cybersecurity (8) <> IoT (7)
Salem Alsaqaf

Salem Al-saqaf

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

Serine Medjber

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

Mohammed Amine Labbas

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

Ruochen Zhu

Mohamed Ads

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

Syed Abidullah Fareed

Visiting Student (former), Information Science Lab

Ahsan Mehmood

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

Polina Morozova

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

Md Al Shahriar Shakil

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

Hanqi Li

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

Mohammed Obidallah Alotaibi

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

Yan Wang

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

Jiahao Wei

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

Zinan Xiao

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

Thomas Trigo Trindade

Abdul-Lateef Haji-Ali

Shyam Mohan Subbiah Pillai

Nabila Bounceur

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

Abderrahmene Ben Romdhane

Arved Bartuska

Postdoctoral Research Fellow, Stochastic Numerics Research Group

Amal Alghamdi

<> Python (Programming Language) (6)

Yang Xiao

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

David De Jesus

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

Yimeng Chen

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

Amal Alghamdi

Almutasem Bellah Enad

Almutasem Bellah Enad

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

Mohammed A Shukri

Technical Consultant at KAUST (King Abdullah University of Science and Technology).
<> AI (5) <> Cyber Security (5) <> electromagnetics (5)

Multiphysics Simulation of Semiconductor-based Terahertz Devices

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B9 H1

Semiconductor-based terahertz (THz) devices such as photoconductive antennas (PCAs) and photomixers (PMs) are widely studied as promising candidates of THz source generation and signal detection. Recent experimental research has shown that using nanostructures in the design of these devices dramatically enhances their optical-to-THz conversion efficiency, possibly allowing their use in widespread industrial applications. However, the nanostructures also increase the complexity of design and fabrication.

Sadeed Bin Sayed

Sadeed Bin Sayed is a Ph.D. candidate in Electrical engineering at King Abdullah University of Science and Technology (KAUST) under the supervision of Professor Hakan Bagci. He received his B.Tech. degree in electronics and communication engineering from the National Institute of Technology Calicut, Calicut, India, in 2004, and the M.Tech. degree in communications engineering from the Indian Institute of Technology Delhi, New Delhi, India, in 2007. From July 2007 to May 2008, he worked as a Member with Technical Staff Digibee Microsystems, Bangalore, India. In May 2008, he joined as an

Noha AlHarthi

Noha Al-Harthi received her PhD in Computer Science and was a member of KAUST's Extreme Computing Research Center and CEML. Her doctoral dissertation was conducted under the supervision of Professor David Keyes and Professor Hakan Bagci in the field of high-performance computing for wave propagation. Education Ph.D., Computer Science, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia, 2012-2019. M.S, Computer Science, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia, 2011-2012. B.S., Information System, Effat University, Jeddah

Liang Chen

Education Ph.D., Microelectronics and Solid-State Electronics, Shanghai Institute of Microsystem and Information Technology (SIMIT), Chinese Academy of Sciences (CAS), Shanghai, China, 2012 M.S., Microelectronics and Solid-State Electronics, Shanghai Institute of Microsystem and Information Technology (SIMIT), Chinese Academy of Sciences (CAS), Shanghai, China, 2009 B.S., Applied Physics, Southeast University, Nanjing, China, 2007 Professional Appointments Postdoctoral Research Fellow in Electrical and Computer Engineering, Division of Computer, Electrical and Mathematical Science and

Hakan Bagci

Professor Bagci is a highly accomplished researcher in the field of computational electromagnetics (CEM). His research focuses on the theoretical and applied aspects of CEM.
<> 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
<> Nonlinear Optics (5)
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

Aram Mkrtchyan

Postdoctoral Research Fellow, Electrical and Computer Engineering

Partha Mondal

Postdoctoral Research Fellow, Electrical and Computer Engineering
Education Ph.D. in nonlinear optics , Indian Institute of Technology Kharagpur, Kharagpur, West Bengal, India, 2019 M.S., Physics, Vidyasagar University, Medinipur, West Bengal, India, 2012 B.S., Physics, The University of Burdwan, Burdwan, West Bengal, India, 2010 Professional Appointments Postdoctoral Research Fellow in Electrical and Computer Engineering, Division of Computer, Electrical and Mathematical Science and Engineering (CEMSE), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia, 2022-present Postdoc Researcher, Integrated Nonlinear Photonics, Centre

Kaikun Niu

Postdoctoral Research Fellow, Electrical and Computer Engineering
Education Ph.D., Electromagnetic field and microwave technology, School of electronics and information engineering, Anhui University, Hefei, China, 2019 B.S., Engineering in electronics and information engineering, School of electronics and Information engineering, Anhui University, Hefei, China, 2014 Professional Appointments Postdoctoral Research Fellow in Electrical and Computer Engineering, Division of Computer, Electrical and Mathematical Science and Engineering (CEMSE), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia, 2019-2020 Visiting Student in
<> 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
<> 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
<> inverse scattering (4)

Efficient and Accurate Numerical Techniques for Sparse Electromagnetic Imaging

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KAUST

In this thesis, efficient solutions are sought out to fundamental problems in Electromagnetic (EM) imaging that determines the shape, location, and material properties of an (unknown) object of interest in an investigation domain from the scattered field measured away from it. The solution of an EM inverse scattering problem inherently poses two main challenges: (i) non-linearity, since the scattered field is a non-linear function of the material properties and (ii) ill-posedness, since the integral operator has a smoothing effect and the number of measurements is finite in dimension and they are contaminated with noise. The non-linearity is tackled incorporating a multitude of techniques (ranging from Born approximation (linear), inexact Newton (linearized) to complete non-linear iterative Landweber schemes) that can account for weak to strong scattering problems. The ill-posedness of the EM inverse scattering problem is circumvented by formulating the above methods into a minimization problem with a sparsity constraint, which assumes that the dimension of the unknown object relative to the investigation domain is much smaller. Numerical experiments, which are carried out using synthetically generated measurements, show that the images recovered by these sparsity-regularized methods are sharper and more accurate than those produced by existing methods. The methods developed in this work have potential application areas ranging from oil/gas reservoir engineering to biological imaging where sparse domains naturally exist.

Sadeed Bin Sayed

Sadeed Bin Sayed is a Ph.D. candidate in Electrical engineering at King Abdullah University of Science and Technology (KAUST) under the supervision of Professor Hakan Bagci. He received his B.Tech. degree in electronics and communication engineering from the National Institute of Technology Calicut, Calicut, India, in 2004, and the M.Tech. degree in communications engineering from the Indian Institute of Technology Delhi, New Delhi, India, in 2007. From July 2007 to May 2008, he worked as a Member with Technical Staff Digibee Microsystems, Bangalore, India. In May 2008, he joined as an

Lingqi Gao

Education Ph.D. Student, Electrical and Computer Engineering, Division of Computer, Electrical and Mathematical Science and Engineering (CEMSE), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia, 2022-present M.S., Applied Geophysics, College of geoexploration Science and Technology, Jilin University, Changchun, China, 2019-2022 B.S., Applied Geophysics, College of geoexploration Science and Technology, Jilin university, Changchun, China, 2015-2019 Research Interests Computational electromagnetics Inverse problems in electromagnetics Dissemination Google Scholar

Ali Imran Sandhu

Education Ph.D. Student, Electrical and Computer Engineering, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia, 2010-present M.S., Communication Engineering, Chalmers University of Technology Sweden, Sweden, 2008-2010 B.S., Electronics Engineering, Comsats University Islamabad, Pakistan, 2003-2007 Professional Appointments Research Engineer, European Project FLEXWIN, University of Calabria, Italy, September 2011 Lecturer, Electrical Engineering Department, Comsats University Islamabad (CUI), Lahore, Pakistan, October 2007 Research Interests Computational
<> Large Language Models (4) <> computational physics (3)

Multiphysics Simulation of Semiconductor-based Terahertz Devices

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B9 H1

Semiconductor-based terahertz (THz) devices such as photoconductive antennas (PCAs) and photomixers (PMs) are widely studied as promising candidates of THz source generation and signal detection. Recent experimental research has shown that using nanostructures in the design of these devices dramatically enhances their optical-to-THz conversion efficiency, possibly allowing their use in widespread industrial applications. However, the nanostructures also increase the complexity of design and fabrication.

Ming Dong

Education Ph.D. student, Electrical and Computer Engineering, Division of Computer, Electrical and Mathematical Science and Engineering (CEMSE), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia, 2019-present M.S., Electrical Engineering, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia, 2017-2018 B.S., Electronic Information Science and Technology, Lanzhou University, Lanzhou, China Research Interests Computational physics (electromagnetics, semiconductor devices, multiphysics modeling) Application of TD-FEM solver and DGTD solver

Liang Chen

Education Ph.D., Microelectronics and Solid-State Electronics, Shanghai Institute of Microsystem and Information Technology (SIMIT), Chinese Academy of Sciences (CAS), Shanghai, China, 2012 M.S., Microelectronics and Solid-State Electronics, Shanghai Institute of Microsystem and Information Technology (SIMIT), Chinese Academy of Sciences (CAS), Shanghai, China, 2009 B.S., Applied Physics, Southeast University, Nanjing, China, 2007 Professional Appointments Postdoctoral Research Fellow in Electrical and Computer Engineering, Division of Computer, Electrical and Mathematical Science and
<> data analysis (3) <> embedded systems (3) <> Generative AI and LLMs (3) <> haps (3)

Bang Huang

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

Xiaowei Pang

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

Hussein Al-Shatri

I chose KAUST because of its reputation for excellence in research and its recent emphasis on applied research. With my extensive background in both academic research and industrial development, I am excited to contribute my experience and ambition. My goal is to foster new ideas and develop innovative prototypes in the field of wireless communications, which will undoubtedly enhance people's lives.
<> integral equations (3)

Sadeed B. Sayed and Ismail E. Uysal ranked in the student paper competition at the ACES Conference

1 min read ·
Ph.D. students Sadeed B. Sayed and Ismail E. Uysal working in the Computational Electromagnetics Group led by Prof. Hakan Bagci ranked 3rd and 5th in the student paper competition at the 30th International Conference

Sadeed Bin Sayed

Sadeed Bin Sayed is a Ph.D. candidate in Electrical engineering at King Abdullah University of Science and Technology (KAUST) under the supervision of Professor Hakan Bagci. He received his B.Tech. degree in electronics and communication engineering from the National Institute of Technology Calicut, Calicut, India, in 2004, and the M.Tech. degree in communications engineering from the Indian Institute of Technology Delhi, New Delhi, India, in 2007. From July 2007 to May 2008, he worked as a Member with Technical Staff Digibee Microsystems, Bangalore, India. In May 2008, he joined as an

Ran Zhao

Postdoctoral Research Fellow, Electrical and Computer Engineering
Education Ph.D. in Electromagnetic Field and Microwave Technology, University of Electronic Science and Technology of China, Chengdu, China, 2011-2016 B.S. in Electronic Engineering, Anhui University, Hefei, China, 2007-2011 Professional Appointments Postdoctoral Research Fellow in Electrical and Computer Engineering, Division of Computer, Electrical and Mathematical Science and Engineering (CEMSE), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia, 2019-present Assistant professor in the school of Electronic and Information Engineering, Anhui University, Hefei
<> LiDAR (3) <> LLM (3) <> MATLAB (3) <> numerical methods (3) <> optics (3) <> optimization (3) <> PDEs (3) <> remote sensing (3) <> wireless communication (3) <> Wireless Communications (3) <> 6G (2) <> Advanced Perception (2) <> AI4Science (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) <> electrical engineering (2) <> Electroencephalograms (2) <> electronic transport (2)

Multiphysics Simulation of Semiconductor-based Terahertz Devices

-

B9 H1

Semiconductor-based terahertz (THz) devices such as photoconductive antennas (PCAs) and photomixers (PMs) are widely studied as promising candidates of THz source generation and signal detection. Recent experimental research has shown that using nanostructures in the design of these devices dramatically enhances their optical-to-THz conversion efficiency, possibly allowing their use in widespread industrial applications. However, the nanostructures also increase the complexity of design and fabrication.

Liang Chen

Education Ph.D., Microelectronics and Solid-State Electronics, Shanghai Institute of Microsystem and Information Technology (SIMIT), Chinese Academy of Sciences (CAS), Shanghai, China, 2012 M.S., Microelectronics and Solid-State Electronics, Shanghai Institute of Microsystem and Information Technology (SIMIT), Chinese Academy of Sciences (CAS), Shanghai, China, 2009 B.S., Applied Physics, Southeast University, Nanjing, China, 2007 Professional Appointments Postdoctoral Research Fellow in Electrical and Computer Engineering, Division of Computer, Electrical and Mathematical Science and
<> FPGA (2) <> Free-space optical communications (2) <> healthcare (2) <> High Performance Computing (2) <> HPC (2) <> Localization (2) <> machine learning for wireless communication (2) <> Multi-Modal Large Language Models (2) <> multimodal AI (2) <> multimodal sensing (2) <> nanomaterials (2) <> nanostructures (2)

Multiphysics Simulation of Semiconductor-based Terahertz Devices

-

B9 H1

Semiconductor-based terahertz (THz) devices such as photoconductive antennas (PCAs) and photomixers (PMs) are widely studied as promising candidates of THz source generation and signal detection. Recent experimental research has shown that using nanostructures in the design of these devices dramatically enhances their optical-to-THz conversion efficiency, possibly allowing their use in widespread industrial applications. However, the nanostructures also increase the complexity of design and fabrication.

Liang Chen

Education Ph.D., Microelectronics and Solid-State Electronics, Shanghai Institute of Microsystem and Information Technology (SIMIT), Chinese Academy of Sciences (CAS), Shanghai, China, 2012 M.S., Microelectronics and Solid-State Electronics, Shanghai Institute of Microsystem and Information Technology (SIMIT), Chinese Academy of Sciences (CAS), Shanghai, China, 2009 B.S., Applied Physics, Southeast University, Nanjing, China, 2007 Professional Appointments Postdoctoral Research Fellow in Electrical and Computer Engineering, Division of Computer, Electrical and Mathematical Science and
<> Network Design (2) <> nlp (2) <> Non-Terrestrial Networks (2) <> optical computing (2) <> photoconductive antennas (2)

Multiphysics Simulation of Semiconductor-based Terahertz Devices

-

B9 H1

Semiconductor-based terahertz (THz) devices such as photoconductive antennas (PCAs) and photomixers (PMs) are widely studied as promising candidates of THz source generation and signal detection. Recent experimental research has shown that using nanostructures in the design of these devices dramatically enhances their optical-to-THz conversion efficiency, possibly allowing their use in widespread industrial applications. However, the nanostructures also increase the complexity of design and fabrication.

Liang Chen

Education Ph.D., Microelectronics and Solid-State Electronics, Shanghai Institute of Microsystem and Information Technology (SIMIT), Chinese Academy of Sciences (CAS), Shanghai, China, 2012 M.S., Microelectronics and Solid-State Electronics, Shanghai Institute of Microsystem and Information Technology (SIMIT), Chinese Academy of Sciences (CAS), Shanghai, China, 2009 B.S., Applied Physics, Southeast University, Nanjing, China, 2007 Professional Appointments Postdoctoral Research Fellow in Electrical and Computer Engineering, Division of Computer, Electrical and Mathematical Science and
<> photonic integrated circuits (2) <> precision agriculture (2) <> Programming language (2) <> quantum communication (2) <> statistics (2) <> stochastic processes (2) <> ultrafast fiber lasers (2) <> Video Understanding (2) <> wave propagation (2) <> 2D materials (1) <> 3D reconstruction (1) <> 5G and beyond (1) <> 5G networks (1) <> 6G On-chip reconfigurable intelligent surface (1) <> 6G On-chip reconfigurable transmitarray and phased array (1) <> 6g wireless systems (1) <> Action Recognition (1) <> Action understanding (1) <> adaptive control (1) <> Adaptive modeling (1) <> Adaptive Optics (1) <> Aerial Robotics (1) <> aerospace design (1) <> Affective AI (1) <> Agents (1) <> agricultural productivity (1) <> agricultural robotics (1) <> agriculture (1) <> AI for healthcare (1) <> AI-based Localization (1) <> AI4Materials (1)