Topics

<> machine learning (20)

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 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

Visiting Student at the Information Science Lab at the King Abdullah University of Science and Technology (KAUST).
<> deep learning (12)

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.

Observer-Relative Flow Visualization and Objective Feature Extraction

-

B1 L4 R4214

This dissertation develops an integrated toolkit of novel visualization and feature extraction methods, grounded in a Riemannian geometry framework, to enable an objective, observer-relative, and physically consistent analysis of complex unsteady flows.

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)
<> Computer Vision (11)

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 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.

KAUST prospective student: Xingdi Zhang

1 min read ·
Xingdi Zhang is a computer science graduate from the University of Electronic Science and Technology of China (UESTC), China. Xingdi will join KAUST in the fall of 2020 as a M.S./Ph.D. candidate and member of the KAUST High-Performance Visualization Group under the supervision of Professor Markus Hadwiger.
<> Scientific Visualization (10)

Balancing Accuracy and Efficiency: Compact Representations for Flow and Multivariate Visualization

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B3 L5 R5220

This thesis addresses the challenge of interactively visualizing massive scientific datasets by introducing novel frameworks that strategically balance accuracy and efficiency for scalable multivariate filtering, objective time-dependent flow analysis, and hybrid, complexity-guided flow reconstruction.

Xingdi Zhang

Ph.D. Student, Computer Science
Xingdi Zhang specializes in scientific visualization and computer graphics.

Reem Alghamdi

Ph.D. Student, Computer Science
Reem Alghamdi is a Ph.D student in VCCVIS group under the supervision of Professor Markus Hadwiger. Education Profile MS in Computer Science, King Abdullah University of Science and Technology, Saudi Arabia. B.Sc. in Computer Science, Princess Nourah bint Abdulrahman University, Saudi Arabia.

Peter Rautek

Research Scientist, Computer Science
Peter Rautek is a Research Scientist in the High-Performance Visualization Group working with Professor Markus Hadwiger at King Abdullah University of Science and Technology (KAUST).

Mohamed Ibrahim

Postdoctoral Research Fellow, Computer Science
Mohamed Ibrahim is a Postdoctoral Research Fellow in High-Performance Visualization Group (VCCVIS) working with Prof. Markus Hadwiger at King Abdullah University of Science and Technology (KAUST). Education and Early Career He earned his Bachelor’s degree in Computer Engineering from the American University in Cairo (AUC) in 2010. Later on, he obtained a Master’s degree in Computer Science from KAUST in 2012. He graduated from KAUST with a Ph.D. in Computer Science in 2019. Research Interest Mohamed Ibrahim's research is concerned with Large-Scale data visualization. He's especially interested

Matej Mlejnek

Research Scientist, Computer Science
Matej Mlejnek is a Research Scientist in the High Performance Visualization Group (HPV) working with Professor Markus Hadwiger at King Abdullah University of Science and Technology (KAUST). Education and Early Career He obtained his bachelor degree in Automation and Control from Slovak University of Technology in Slovakia in1999. After that, he joined Vienna University of Technology in Austria and received both his master (2003) and doctoral (2006) degrees in Computer Science. Research Interest Matej is interested in scientific visualization. Selected Publications Matej Mlejnek has many

Marco Agus

Marco Agus was a Research Engineer in the High Performance Visualization Group (HPV) working with Professor Markus Hadwiger at King Abdullah University of Science and Technology (KAUST). Education and Early Career He obtained his master degree in Electronic Engineering from the University of Cagliari in Italy in 1999. He has a Ph. D. in Mechanical Design from the University of Cagliari. Before joining KAUST, Marco was a researcher at Visualization and Virtual Reality Group in the Center for Advanced Studies, Research and Development in Sardinia (CRS4) in Italy. After that in 2007, he moved to

Hisham Alhussain

Hisham Alhussain is a Computer Science Master Student under the supervision of Professor Markus Hadwiger at the Visual Computing Center (VCC) at King Abdullah University of Science and Technology (KAUST). Education and Early Career Hisham received his bachelor's degree in Computer Science from the University of Massachusetts at Amherst in 2018. He is also a Software Developer at IBM. Research Interest He's currently focusing on Scientific Visualization and Visual Computing. He is proficient in Python, Java, and has professional experience in React/React-Native and mobile and web development

Haneen Mohammed

Haneen Mohammed was a Master student in Computer Science Program under the supervision of Professor Markus Hadwiger at Visual Computing Center (VCC) at King Abdullah university of Science and Technology (KAUST). Currently, she’s preparing her doctoral in Computer Science at Columbia University in the City of New York, United States. Education and Career Haneen earned her bachelor degree in Electrical and Computer Engineering from Effat University in Jeddah in 2015. She joined KAUST and received her master degree in Computer Science in 2017. Research Interest ​Her research interests are mainly

Amani Ageeli

Ph.D. Student, Computer Science
Amani Ageeli's research focuses on bridging scientific research with clear visual communication, contributing to tools and methods that make complex data more accessible and impactful within Saudi Arabia’s growing technology and research landscape.
<> computer graphics (9)

Balancing Accuracy and Efficiency: Compact Representations for Flow and Multivariate Visualization

-

B3 L5 R5220

This thesis addresses the challenge of interactively visualizing massive scientific datasets by introducing novel frameworks that strategically balance accuracy and efficiency for scalable multivariate filtering, objective time-dependent flow analysis, and hybrid, complexity-guided flow reconstruction.

Alumni Focus: Ronell Sicat

1 min read ·
As the volume and complexity of data captured around the world continues to grow exponentially, new ways of exploring and visualizing this data are required. Today, society has moved beyond the traditional desktop computer with tools such as augmented and virtual reality (AR/VR) at the forefront of immersive data visualization and analysis.

Xingdi Zhang

Ph.D. Student, Computer Science
Xingdi Zhang specializes in scientific visualization and computer graphics.

Ronell Sicat

Visualization Scientist, Core labs and Research Infrastructure
Ronell Sicat is a scientist with more than 10 years of experience in scientific research and software development. His main interests are scalable visualization and analysis of large-scale data (e.g., images, volumes, meshes), and immersive analytics that leverage augmented/virtual reality. He is passionate about helping domain scientists solve their problems using my wide-ranging experience in programming, image processing, segmentation, quantitative analysis, and computer graphics.

Peter Rautek

Research Scientist, Computer Science
Peter Rautek is a Research Scientist in the High-Performance Visualization Group working with Professor Markus Hadwiger at King Abdullah University of Science and Technology (KAUST).

Ondrej Strnad

Research Scientist, Computer Science
Ondrej Strnad is a Research Scientist currently working with Professor Markus Hadwiger in the High-Performance Visualization Group at KAUST. His research focuses on large-scale, out-of-core oil reservoir visualization. Ondrej joined KAUST in November 2019, initially becoming a member of Ivan Viola's Nanovisualization Research Group, where he worked on procedural modeling, generation, and visualization of highly populated, dense biological scenes.

Mohamed Ibrahim

Postdoctoral Research Fellow, Computer Science
Mohamed Ibrahim is a Postdoctoral Research Fellow in High-Performance Visualization Group (VCCVIS) working with Prof. Markus Hadwiger at King Abdullah University of Science and Technology (KAUST). Education and Early Career He earned his Bachelor’s degree in Computer Engineering from the American University in Cairo (AUC) in 2010. Later on, he obtained a Master’s degree in Computer Science from KAUST in 2012. He graduated from KAUST with a Ph.D. in Computer Science in 2019. Research Interest Mohamed Ibrahim's research is concerned with Large-Scale data visualization. He's especially interested

Juris Grigs

Ph.D. Student, Computer Science
Juris Grigs is a Computer Science Ph.D. student in the KAUST High-Performance Visualization Group (VCCVis) under the supervision of Professor Markus Hadwiger at King Abdullah University of Science and Technology (KAUST). Education and Early Career Juris obtained his bachelor's degree in ​Physics from the University of Latvia in 2017. He joined KAUST as an Electrical Engineering student with the Integrated Microwaves Packaging Antennas & Circuit Technology (IMPACT) Research Group. Now,he is a Ph.D. student in the VCCVis Research Group. Research Interests Juris's research interests include ​data

Amani Ageeli

Ph.D. Student, Computer Science
Amani Ageeli's research focuses on bridging scientific research with clear visual communication, contributing to tools and methods that make complex data more accessible and impactful within Saudi Arabia’s growing technology and research landscape.
<> visualization (9)

Interactive High-Quality Visualization of Large-Scale Particle Data

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B2 L5 R5209

Large-scale particle data sets, such as those computed in molecular dynamics (MD) simulations, are crucial to investigating important processes in physics and thermodynamics. The simulated atoms are usually visualized as hard spheres with Phong shading, where individual particles and their local density can be perceived well in close-up views. However, for large-scale simulations with 10 million particles or more, the visualization of large fields-of-view usually suffers from strong aliasing artifacts, because the mismatch between data size and output resolution leads to severe under-sampling of the geometry.

Thomas Hollt

Postdoctoral Research Fellow, High Performance Visualization Group
Thomas Hollt was a Postdoctoral Research Fellow at the Visual Computing Center (VCC) at King Abdullah University of Science and Technology (KAUST). Currently, he’s an Assistant Professor at Computational Biology Center in Leiden University Medical Center, The Netherlands. Education and Early Career Thomas joined KAUST as a Ph.D. student in Computer Science under the supervision of Professor Markus Hadwiger. After he graduated in 2013, he worked as a Postdoctoral Research Fellow in Visual Computing Center. Later on, he joined the Earth Fluid Modeling and Prediction Group at KAUST as a Research

Ronell Sicat

Visualization Scientist, Core labs and Research Infrastructure
Ronell Sicat is a scientist with more than 10 years of experience in scientific research and software development. His main interests are scalable visualization and analysis of large-scale data (e.g., images, volumes, meshes), and immersive analytics that leverage augmented/virtual reality. He is passionate about helping domain scientists solve their problems using my wide-ranging experience in programming, image processing, segmentation, quantitative analysis, and computer graphics.

Mohamed Ibrahim

Postdoctoral Research Fellow, Computer Science
Mohamed Ibrahim is a Postdoctoral Research Fellow in High-Performance Visualization Group (VCCVIS) working with Prof. Markus Hadwiger at King Abdullah University of Science and Technology (KAUST). Education and Early Career He earned his Bachelor’s degree in Computer Engineering from the American University in Cairo (AUC) in 2010. Later on, he obtained a Master’s degree in Computer Science from KAUST in 2012. He graduated from KAUST with a Ph.D. in Computer Science in 2019. Research Interest Mohamed Ibrahim's research is concerned with Large-Scale data visualization. He's especially interested

Matej Mlejnek

Research Scientist, Computer Science
Matej Mlejnek is a Research Scientist in the High Performance Visualization Group (HPV) working with Professor Markus Hadwiger at King Abdullah University of Science and Technology (KAUST). Education and Early Career He obtained his bachelor degree in Automation and Control from Slovak University of Technology in Slovakia in1999. After that, he joined Vienna University of Technology in Austria and received both his master (2003) and doctoral (2006) degrees in Computer Science. Research Interest Matej is interested in scientific visualization. Selected Publications Matej Mlejnek has many

Markus Hadwiger

Professor, Computer Science
Markus Hadwiger is a Professor of Computer Science at the King Abdullah University of Science and Technology (KAUST). A founding member of the University, he conducts fundamental and applied research in scientific visualization and visual computing.

Marco Agus

Marco Agus was a Research Engineer in the High Performance Visualization Group (HPV) working with Professor Markus Hadwiger at King Abdullah University of Science and Technology (KAUST). Education and Early Career He obtained his master degree in Electronic Engineering from the University of Cagliari in Italy in 1999. He has a Ph. D. in Mechanical Design from the University of Cagliari. Before joining KAUST, Marco was a researcher at Visualization and Virtual Reality Group in the Center for Advanced Studies, Research and Development in Sardinia (CRS4) in Italy. After that in 2007, he moved to

Amani Ageeli

Ph.D. Student, Computer Science
Amani Ageeli's research focuses on bridging scientific research with clear visual communication, contributing to tools and methods that make complex data more accessible and impactful within Saudi Arabia’s growing technology and research landscape.

Amal Aboulhassan

Amal Aboulhassan was a Ph.D. student in Computer Science under the supervision of Professor Markus Hadwiger at the Visual Computing Center (VCC) in King Abdullah University of Science and Technology (KAUST). She is the founder of MaterialSolved startup located in Alexandria, Egypt. Education and Career Amad received her Master degree in Computer Graphics from Alexandria University, Egypt in 2005. She joined KAUST and earned her Ph.D. in Computer Science in 2017. She was a part of High Performance Visualization Research Group under the supervision of Professor Markus Hadwiger. Before joining
<> artificial intelligence (8)

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)
<> cybersecurity (8) <> Signal processing (8)

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).
<> 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).
<> Cyber Security (5) <> integrated photonics (5)

Naiqin Bu

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
<> 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
<> AI (4) <> Photonics and optoelectronics (4)
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.
<> Python (4) <> real-time rendering (4)

Balancing Accuracy and Efficiency: Compact Representations for Flow and Multivariate Visualization

-

B3 L5 R5220

This thesis addresses the challenge of interactively visualizing massive scientific datasets by introducing novel frameworks that strategically balance accuracy and efficiency for scalable multivariate filtering, objective time-dependent flow analysis, and hybrid, complexity-guided flow reconstruction.

Reem Alghamdi

Ph.D. Student, Computer Science
Reem Alghamdi is a Ph.D student in VCCVIS group under the supervision of Professor Markus Hadwiger. Education Profile MS in Computer Science, King Abdullah University of Science and Technology, Saudi Arabia. B.Sc. in Computer Science, Princess Nourah bint Abdulrahman University, Saudi Arabia.

Amani Ageeli

Ph.D. Student, Computer Science
Amani Ageeli's research focuses on bridging scientific research with clear visual communication, contributing to tools and methods that make complex data more accessible and impactful within Saudi Arabia’s growing technology and research landscape.

Alberto Jaspe-Villanueva

Research Scientist, Computer Science
Alberto Jaspe-Villanueva is a Research Scientist working with Professor Markus Hadwiger at the Visual Computing Center (VCC) in King Abdullah University of Science and Technology (KAUST). Education and Early Career Alberto started developing Computer Graphics software in 2003 as an undergraduate researcher at the VideaLAB group of the University of A Coruña (Spain), where he worked for eight years on terrain rendering, virtual reality, and natural interaction. He completed his Bachelor of Computer Science in 2012, and it's Master on High-Performance Computing in 2013, at the same University
<> bioscience (3) <> data analysis (3) <> embedded systems (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) <> MATLAB (3) <> Nonlinear Optics (3) <> optimization (3) <> Reinforcement Learning (3) <> scientific computing (3) <> visual computing (3) <> Advanced Perception (2) <> AI4Science (2) <> applied mathematics (2) <> augmented reality (2) <> Automous Vehicles (2) <> biomedical devices (2) <> communication (2) <> Computational Neuroscience (2) <> computer networks (2) <> Deep generative models (2) <> Digital signal processing (2) <> Dynamical Systems (2) <> Electroencephalograms (2) <> FPGA (2) <> Generative AI and LLMs (2) <> healthcare (2) <> HPC (2) <> Large Language Models (2) <> LLM (2) <> Localization (2) <> machine learning for wireless communication (2) <> multimodal sensing (2) <> nanomaterials (2) <> Network Design (2) <> Non-Terrestrial Networks (2) <> optical computing (2) <> photonic integrated circuits (2) <> Programming language (2) <> quantum communication (2) <> remote sensing (2) <> statistics (2) <> ultrafast fiber lasers (2) <> virtual reality (2) <> wireless communication (2) <> Wireless Communications (2) <> 2D materials (1) <> 3D graphics (1) <> 3D Shape Creation (1) <> 3D Shape Manipulation (1) <> 5G and beyond (1) <> 5G networks (1) <> 6G (1) <> 6G On-chip reconfigurable intelligent surface (1) <> 6G On-chip reconfigurable transmitarray and phased array (1) <> 6g wireless systems (1) <> Action Recognition (1) <> Action understanding (1) <> adaptive control (1) <> Adaptive Optics (1) <> Aerial Robotics (1) <> aerospace design (1) <> Affective AI (1) <> AI for healthcare (1) <> aliasing artifact (1) <> ambit fields (1) <> Applied AI (1) <> Arabic NLP (1) <> artificial intelligence for wireless communication (1) <> Astrophysics Visualization (1) <> automotive security (1) <> Bayesian computational statistics (1) <> beamforming (1) <> bifurcation theory (1) <> biomechanics (1) <> biomedical sensing (1) <> Biomedical Signal Processing (1) <> biosensing (1) <> biotechnology (1) <> BLE communication (1) <> blockchain (1) <> broadband photonics-aided terahertz communication and sensing (1) <> calculus of variations (1)