Topics

<> machine learning (29)

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).

Omar Mena Facio

M.S. Student, Computer Science
Omer Mena Facio is a Master student in Computer Science under the supervision of Professor Ivan Viola at the Visual Computing Center (VCC) in King Abdullah University of Science and Technology (KAUST). Education and Early Career Omer Mena Facio

Ngan Nguyen

Ph.D. Student, Computer Science
Ngan Nguyen is a Ph.D. candidate in the Computer Science Program under the supervision of Professor Ivan Viola in the Nanovisualization Research Group at the Visual Computing Center (VCC) at King Abdullah University of Science and Technology (KAUST). Education and Early Career Ngan has a Master's Degree in Computer Science. She worked at Gameloft Company as a Developer. After that, she joined the University of Information Technology, Vietnam National University in Ho Chi Minh City as a Lecturer. Research Interest Ngan is focusing on Computer Graphics, Visualization, and their overlaps into

Eva Bones

Ph.D. Student, Computer Science
Eva Bones is a Ph.D. candidate in the Computer Science Program under the supervision of Professor Ivan Viola in the Nanovisualization Research Group at the Visual Computing Center (VCC) at King Abdullah University of Science and Technology (KAUST). Research Interest Eva is focusing on Computer Graphics and Visualization. Academic Advisors Ivan Viola, Professor, Computer Science.

Da Li

M.S. Student, Computer Science
Da Li is a Master student in Computer Science under the supervision of Professor Ivan Viola at the Visual Computing Center (VCC) in King Abdullah University of Science and Technology (KAUST).

Alexandra Irger

M.S. Student, Computer Science
Alexandra Irger is a Master student in Computer Science under the supervision of Professor Ivan Viola at the Visual Computing Center (VCC) in King Abdullah University of Science and Technology (KAUST). Education and Early Career Before coming to KAUST, Alexandra graduated from TU Wien with a BSc in Media Informatics and Visual Computing in 2023. Research Interest Alexandra is focusing on Scientific Visualization and Computer Graphics.
<> computer graphics (15)

Web-based 3D Visualization

-

B9 L2 H2 H2

In this seminar I will present how to create 3D computer graphics and visualization systems for the web, using WebAssmbly and WebGPU language specifications, which are new, bleeding-edge technologies. Previously, accelerated graphics on the web was based on JavaScript libraries, which is still very popular, but they do not offer detailed memory management and code optimization, necessary for systems requiring high memory load and high computational demands. WebAssembly and WebGPU can be compiled from the C++ or Rust code, which also allows the deployment of the same codebase either for web or for the desktop-based applications.

Modeling in the Time of COVID-19: Statistical and Rule-based Mesoscale Models

1 min read ·
We present a new technique for rapid modeling and construction of scientifically accurate mesoscale biological models. Resulting 3D models are based on few 2D microscopy scans and the latest knowledge about the biological entity represented as a set of geometric relationships. Our new technique is based on statistical and rule-based modeling approaches that are rapid to author, fast to construct, and easy to revise. From a few 2D microscopy scans, we learn statistical properties of various structural aspects, such as the outer membrane shape, spatial properties and distribution characteristics

Meet KAUST prospective student: Feng Liang

1 min read ·
Feng Liang is a computer science and engineering graduate who will join KAUST from the Southern University of Science and Technology (SUSTech), China. Feng will join the University this fall as a M.S. candidate and member of the KAUST Nanovisualization Research Group under the supervision of Professor Ivan Viola.

Dr. Ciril Bohak Joins the Visual Computing Center

1 min read ·
We are proudly announcing that Dr. Ciril Bohak has joined VCC as a Postdoctoral researcher of Computer Science in October, 2020. Ciril Bohak is a Postdoctoral Researcher and Teaching Assistant in the Laboratory for Computer Graphics and Multimedia, Faculty of Computer and Information Science, University of Ljubljana, Slovenia. His main research interests are Computer Graphics, Data Visualization, and Game Technology. His current research includes real-time medical and biological volumetric data visualization on the web, visualization of geodetic data (LiDAR and orthophoto) and high-energy

Dr. Alexandre A. Kouyoumdjian Joins the Nanovisualization Research Group

1 min read ·
We are proudly announcing that Dr. Alexandre A. Kouyoumdjian has joined the Nanovisualization Research Group as a Research Scientist working with Professor Ivan Viola. His main research interests are Visualization & Computer Graphics, Human-Computer Interaction & Virtual Reality, and Microarchitecture. Dr. Alexandre A. Kouyoumdjian has also worked in the industry as an R&D Consultant for a start-up that develops VR applications meant to ease chronic pain and a graphics programmer for a game studio.

Yousif Aldolaijan

Yousif Aldolaijan was a Computer Science Master student under the supervision of Prof. Ivan Viola at the Visual Computing Center (VCC) at King Abdullah University of Science and Technology (KAUST). Education and Early Career Yousif received his bachelor’s degree in Computer Science at the University of Southern California (USC), Los Angeles, USA in 2018. He joined KAUST to continue his studies in Computer Science and received his Master's degree in Computer Science from KAUST in 2020. During the summer of 2018, he joined Google as a Software Engineering Intern for three months. He worked on

Omar Mena Facio

M.S. Student, Computer Science
Omer Mena Facio is a Master student in Computer Science under the supervision of Professor Ivan Viola at the Visual Computing Center (VCC) in King Abdullah University of Science and Technology (KAUST). Education and Early Career Omer Mena Facio

Ngan Nguyen

Ph.D. Student, Computer Science
Ngan Nguyen is a Ph.D. candidate in the Computer Science Program under the supervision of Professor Ivan Viola in the Nanovisualization Research Group at the Visual Computing Center (VCC) at King Abdullah University of Science and Technology (KAUST). Education and Early Career Ngan has a Master's Degree in Computer Science. She worked at Gameloft Company as a Developer. After that, she joined the University of Information Technology, Vietnam National University in Ho Chi Minh City as a Lecturer. Research Interest Ngan is focusing on Computer Graphics, Visualization, and their overlaps into

Feng Liang

Feng Liang is a former member of the Nanovisualization Research Group at KAUST lead by Professor Ivan Viola. Before joining KAUST, Feng obtained a bachelor's degree in computer science and engineering from the Southern University of Science and Technology (SUSTech), China. Research Interests Feng's research interests include artificial intelligence and computer graphics.

Eva Bones

Ph.D. Student, Computer Science
Eva Bones is a Ph.D. candidate in the Computer Science Program under the supervision of Professor Ivan Viola in the Nanovisualization Research Group at the Visual Computing Center (VCC) at King Abdullah University of Science and Technology (KAUST). Research Interest Eva is focusing on Computer Graphics and Visualization. Academic Advisors Ivan Viola, Professor, Computer Science.

Donggang Jia

Ph.D. Student, Computer Science
Donggang Jia is a Ph.D. student in the Computer Science Program under the supervision of Professor Ivan Viola in the Nanovisualization Research Group at the Visual Computing Center (VCC) at King Abdullah University of Science and Technology (KAUST). Education and Early Career Donggang has a Master's Degree in Artificial Intelligence from the University of Southampton, United Kingdom. Before that, he received his Bachelor's degree in Computer Science at the Beijing University of Posts and Telecommunications, China. Research Interest Donggang is focusing on computer graphics and visualization

Dawar Khan

Postdoctoral Research Fellow, Computer Science
Dawar Khan has been working as a Postdoctoral researcher with Professor Ivan Viola in the Nanovisualization Research Group, at Visual Computing Center, KAUST - King Abdullah University of Science and Technology, Saudi Arabia, since April 2022. Previously he worked as assistant professor at Interactive Media Design Lab, Nara Institute of Science and Technology (NAIST), Japan and at the University of Haripur, Pakistan. Education and Early Career He received the BS and MS degrees in computer science from the University of Malakand, Pakistan, in 2011 and 2014, respectively, and the PhD degree in

Da Li

M.S. Student, Computer Science
Da Li is a Master student in Computer Science under the supervision of Professor Ivan Viola at the Visual Computing Center (VCC) in King Abdullah University of Science and Technology (KAUST).

Alexandre A. Kouyoumdjian

Research Scientist, Computer Science
Dr. Alexandre A. Kouyoumdjian has joined the Nanovisualization Research Group as a Research Scientist working with Professor Ivan Viola. His main research interests are Visualization & Computer Graphics, Human-Computer Interaction & Virtual Reality, and Microarchitecture. Dr. Alexandre A. Kouyoumdjian has also worked in the industry as an R&D Consultant for a start-up that develops VR applications meant to ease chronic pain and a graphics programmer for a game studio. Education Profile Ph.D., Computer Science, Université Paris-Saclay,FRANCE, 2018 M.S., Computer Science (Bioinformatics and

Alexandra Irger

M.S. Student, Computer Science
Alexandra Irger is a Master student in Computer Science under the supervision of Professor Ivan Viola at the Visual Computing Center (VCC) in King Abdullah University of Science and Technology (KAUST). Education and Early Career Before coming to KAUST, Alexandra graduated from TU Wien with a BSc in Media Informatics and Visual Computing in 2023. Research Interest Alexandra is focusing on Scientific Visualization and Computer Graphics.
<> artificial intelligence (13)

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.

Visual Analytics for Macromolecular Science

-
This dissertation presents a suite of scientific visual analytics systems that tightly couple large-scale computational modeling - including both AI-powered inference and traditional molecular simulations - with interactive, scalable visualization.
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)

Meet KAUST prospective student: Feng Liang

1 min read ·
Feng Liang is a computer science and engineering graduate who will join KAUST from the Southern University of Science and Technology (SUSTech), China. Feng will join the University this fall as a M.S. candidate and member of the KAUST Nanovisualization Research Group under the supervision of Professor Ivan Viola.

Feng Liang

Feng Liang is a former member of the Nanovisualization Research Group at KAUST lead by Professor Ivan Viola. Before joining KAUST, Feng obtained a bachelor's degree in computer science and engineering from the Southern University of Science and Technology (SUSTech), China. Research Interests Feng's research interests include artificial intelligence and computer graphics.

Deng Luo

Ph.D. Student, Computer Science
Deng Luo is a Ph.D. Candidate in the Computer Science program under the supervision of Professor Ivan Viola at the Visual Computer Center (VCC) at King Abdullah University of Science and Technology (KAUST) in Saudi Arabia.
<> visualization (13)

Point cloud and volume data reconstruction and visualization

Dr. Ciril Bohak, Postdoctoral Researcher, Faculty of Computer and Information Science, University of Ljubljana, Slovenia

-

B1 L2

Abstract Our ongoing research on the reconstruction of aerial point cloud data includes reconstructing the parts of the data that are not captured by the airplane mounted LiDAR system due to the shadowing effect and lack of reflections. We are developing methods for reconstructing (1) building walls, (2) reconstruction of bridges and underlying terrain; (3) reconstruction of water surfaces of lakes and rivers, and (4) reconstruction of terrain overhangs. In all the cases we are merging the point cloud data with cadaster data or digital terrain model data for filling the gaps in the point cloud

KAUST Cell Visualization Summit 2019

-

B9 H2 R2325

You are invited to attend the KAUST Cell Visualization Summit 2019 organized by the Nanovisualization group from the Visual Computing Center (VCC). The summit will focus on the technological advancement that can lead to an in-silico virtual and visual representation by integrating current knowledge into a unified structural and dynamic model of a living cell. Each keynote speaker will relate to one of the technological aspects (modeling, visualization, and interaction). Keynote speakers Arthur Olson Graham Johnson Anders Ynnerman For more information about the summit, please click here. If you

Visualization Methods for Graphs&Networks

-

B9 L2 H2 H2

Inevitably, the projection of most graph structures on two-dimensional screens will create errors and therefore visually wrong impressions. In the past, two types of methods have been developed to minimize projection errors and distribute them in a visually pleasing way. The first group of methods, force-directed layouts, interpret the links of a graph as physical springs, while stress-based methods minimize an energy function, which aims to map graph distances faithfully.

Nanovisualization Research Group is hiring

1 min read ·
Nanovisualization Research Group is hiring scientific staff on the levels of Research Scientist, Postdoctoral Fellow, and Graduate Student. Follow the links to apply for the respective position: Research Scientist position Postdoctoral Fellow Graduate Student

Professor Ivan Viola Joins the Visual Computing Center

1 min read ·
We are proudly announcing that Professor Ivan Viola has joined VCC as an Associate Professor of Computer Science in November, 2018. He is establishing the Nano-visualization Research Group as a part of the Visual Computing Center. Prof. Viola has a master and Ph.D. from TU Wien in Austria. He has received a series of honors and recognition for his contribution to computing visualization such as the Austrian Computer Graphics Award 2016 for the Best Technical Solution, and the 1st Place Eurographics Dirk Bartz Prize for Visual Computing in Medicine 2013. Prof. Viola was attracted to KAUST for

Prof. Ivan Viola acts as Eurovis 2020 Full Papers Chair

1 min read ·
Prof. Ivan Viola will act as the Eurovis 2020 Full Papers Chair in the upcoming joint conferences Eurographics and Eurovis 2020. For the first time, the two conferences Eurographics and Eurovis (EGEV) will run together, as a single event, to be hosted in Norrköping, Sweden from May 25th-29th, 2020.

The NANOVIS team wins the 1st Place in Graph Drawing Contest 2019

1 min read ·
The NANOVIS team has won the 1st Place in Graph Drawing Contest 2019 under the category of "Creative Topic #2 Meal Ingredients" on their graph "Worldmap of Food". The contest took place in the 27th International Symposium on Graph Drawing and Network Visualization (GD'19) that was held from September 17 to 20, 2019 in Průhonice/Prague, Czechia. Check the full poster:

Three papers with contributions from the NANOVIS team will be presented at IEEE VIS

1 min read ·
Three papers with contributions from the NANOVIS team will be presented at IEEE VIS 2019 that will be held from 20 to 25 October 2019 in Vancouver, Canada. Multi-Scale Procedural Animations of Microtubule Dynamics Based on Measured Data ScaleTrotter: Illustrative Visual Travels across Negative Scales Data-aware Continuous Colormap Refinement for 2D Scalar Field Visualization IEEE VIS 2019 is the premier forum for advances in visualization for academia, government, and industry. This week-long event brings together researchers and practitioners with a shared interest in visualization.

Modeling in the Time of COVID-19: Statistical and Rule-based Mesoscale Models

1 min read ·
We present a new technique for rapid modeling and construction of scientifically accurate mesoscale biological models. Resulting 3D models are based on few 2D microscopy scans and the latest knowledge about the biological entity represented as a set of geometric relationships. Our new technique is based on statistical and rule-based modeling approaches that are rapid to author, fast to construct, and easy to revise. From a few 2D microscopy scans, we learn statistical properties of various structural aspects, such as the outer membrane shape, spatial properties and distribution characteristics

Dr. Alexandre A. Kouyoumdjian Joins the Nanovisualization Research Group

1 min read ·
We are proudly announcing that Dr. Alexandre A. Kouyoumdjian has joined the Nanovisualization Research Group as a Research Scientist working with Professor Ivan Viola. His main research interests are Visualization & Computer Graphics, Human-Computer Interaction & Virtual Reality, and Microarchitecture. Dr. Alexandre A. Kouyoumdjian has also worked in the industry as an R&D Consultant for a start-up that develops VR applications meant to ease chronic pain and a graphics programmer for a game studio.

Donggang Jia

Ph.D. Student, Computer Science
Donggang Jia is a Ph.D. student in the Computer Science Program under the supervision of Professor Ivan Viola in the Nanovisualization Research Group at the Visual Computing Center (VCC) at King Abdullah University of Science and Technology (KAUST). Education and Early Career Donggang has a Master's Degree in Artificial Intelligence from the University of Southampton, United Kingdom. Before that, he received his Bachelor's degree in Computer Science at the Beijing University of Posts and Telecommunications, China. Research Interest Donggang is focusing on computer graphics and visualization

Dawar Khan

Postdoctoral Research Fellow, Computer Science
Dawar Khan has been working as a Postdoctoral researcher with Professor Ivan Viola in the Nanovisualization Research Group, at Visual Computing Center, KAUST - King Abdullah University of Science and Technology, Saudi Arabia, since April 2022. Previously he worked as assistant professor at Interactive Media Design Lab, Nara Institute of Science and Technology (NAIST), Japan and at the University of Haripur, Pakistan. Education and Early Career He received the BS and MS degrees in computer science from the University of Malakand, Pakistan, in 2011 and 2014, respectively, and the PhD degree in

Alexandre A. Kouyoumdjian

Research Scientist, Computer Science
Dr. Alexandre A. Kouyoumdjian has joined the Nanovisualization Research Group as a Research Scientist working with Professor Ivan Viola. His main research interests are Visualization & Computer Graphics, Human-Computer Interaction & Virtual Reality, and Microarchitecture. Dr. Alexandre A. Kouyoumdjian has also worked in the industry as an R&D Consultant for a start-up that develops VR applications meant to ease chronic pain and a graphics programmer for a game studio. Education Profile Ph.D., Computer Science, Université Paris-Saclay,FRANCE, 2018 M.S., Computer Science (Bioinformatics and
<> 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)
<> Computer Vision (10)

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.
<> 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).
<> cybersecurity (8) <> nanovisualization (8)

Visual Analytics for Macromolecular Science

-
This dissertation presents a suite of scientific visual analytics systems that tightly couple large-scale computational modeling - including both AI-powered inference and traditional molecular simulations - with interactive, scalable visualization.

KAUST Cell Visualization Summit 2019

-

B9 H2 R2325

You are invited to attend the KAUST Cell Visualization Summit 2019 organized by the Nanovisualization group from the Visual Computing Center (VCC). The summit will focus on the technological advancement that can lead to an in-silico virtual and visual representation by integrating current knowledge into a unified structural and dynamic model of a living cell. Each keynote speaker will relate to one of the technological aspects (modeling, visualization, and interaction). Keynote speakers Arthur Olson Graham Johnson Anders Ynnerman For more information about the summit, please click here. If you

Web-based 3D Visualization

-

B9 L2 H2 H2

In this seminar I will present how to create 3D computer graphics and visualization systems for the web, using WebAssmbly and WebGPU language specifications, which are new, bleeding-edge technologies. Previously, accelerated graphics on the web was based on JavaScript libraries, which is still very popular, but they do not offer detailed memory management and code optimization, necessary for systems requiring high memory load and high computational demands. WebAssembly and WebGPU can be compiled from the C++ or Rust code, which also allows the deployment of the same codebase either for web or for the desktop-based applications.

Prof. Ivan Viola acts as Eurovis 2020 Full Papers Chair

1 min read ·
Prof. Ivan Viola will act as the Eurovis 2020 Full Papers Chair in the upcoming joint conferences Eurographics and Eurovis 2020. For the first time, the two conferences Eurographics and Eurovis (EGEV) will run together, as a single event, to be hosted in Norrköping, Sweden from May 25th-29th, 2020.

Visiting Slovenian student relishes time at KAUST

1 min read ·
KAUST visiting student Aljaz Bogataj, who spent three months in the NANOVIS research group, shared his impressions of work and life at KAUST.

Ivan Viola

Professor, Computer Science
Professor Viola’s expertise lies in scientific visualization and visual computing. His research focuses on multiscale visualization and modeling of complex biological systems, ranging from cellular organisms to atomistic-level details.

Deng Luo

Ph.D. Student, Computer Science
Deng Luo is a Ph.D. Candidate in the Computer Science program under the supervision of Professor Ivan Viola at the Visual Computer Center (VCC) at King Abdullah University of Science and Technology (KAUST) in Saudi Arabia.

Aidana Nurakhmetova

Visiting Student, Nanovisualization
Aidana Nurakhmetova was a visiting student under the supervision of Prof. Ivan Viola in the Nanovisualization Research Group (NANOVis) at the Visual Computing Center (VCC) at King Abdullah University of Science and Technology (KAUST). Aidana is studying in her last year of Bachelor's Degree in Computer Science at Nazarbayev University, Kazakhstan. She's currently focusing on the Visualization of Complex Biological Structures in the Nano-scale.
<> visual computing (8)

KAUST Cell Visualization Summit 2019

-

B9 H2 R2325

You are invited to attend the KAUST Cell Visualization Summit 2019 organized by the Nanovisualization group from the Visual Computing Center (VCC). The summit will focus on the technological advancement that can lead to an in-silico virtual and visual representation by integrating current knowledge into a unified structural and dynamic model of a living cell. Each keynote speaker will relate to one of the technological aspects (modeling, visualization, and interaction). Keynote speakers Arthur Olson Graham Johnson Anders Ynnerman For more information about the summit, please click here. If you

Nanovisualization Research Group is hiring

1 min read ·
Nanovisualization Research Group is hiring scientific staff on the levels of Research Scientist, Postdoctoral Fellow, and Graduate Student. Follow the links to apply for the respective position: Research Scientist position Postdoctoral Fellow Graduate Student

Professor Ivan Viola Joins the Visual Computing Center

1 min read ·
We are proudly announcing that Professor Ivan Viola has joined VCC as an Associate Professor of Computer Science in November, 2018. He is establishing the Nano-visualization Research Group as a part of the Visual Computing Center. Prof. Viola has a master and Ph.D. from TU Wien in Austria. He has received a series of honors and recognition for his contribution to computing visualization such as the Austrian Computer Graphics Award 2016 for the Best Technical Solution, and the 1st Place Eurographics Dirk Bartz Prize for Visual Computing in Medicine 2013. Prof. Viola was attracted to KAUST for

Prof. Ivan Viola acts as Eurovis 2020 Full Papers Chair

1 min read ·
Prof. Ivan Viola will act as the Eurovis 2020 Full Papers Chair in the upcoming joint conferences Eurographics and Eurovis 2020. For the first time, the two conferences Eurographics and Eurovis (EGEV) will run together, as a single event, to be hosted in Norrköping, Sweden from May 25th-29th, 2020.

Making the invisible, visible

1 min read ·
As bioscience and medicine progress, we are now able to live with diseases, which were once a death sentence. And we are rapidly discovering new interactions at the microscopic level that give us insight into the engines of life. However, as research gets more complicated, the layperson gets left further and further behind. Even those who trust the work of scientists can feel overwhelmed when attempting to read the latest research.

Peering under the hood of SARS-CoV-Two

1 min read ·
Microscope and protein data are incorporated into an easy-to-use-and-update tool that can model an organism’s 3D appearance.

First 3D Visualizations of SARS-CoV-2 Cryo-EM Tomography Data

1 min read ·
Together with our partners from Tsinghua University and Nanographics, our group has succeeded in depicting the first 3D visualizations of Cryo-EM microscopy tomography directly from the data. We are advancing the technology to allow for clear, noise-free visualization of this challenging data modality. Once we succeed with that our next challenge is to integrate such 3D visualization into the structural modeling process. Stay tuned!

Ivan Viola

Professor, Computer Science
Professor Viola’s expertise lies in scientific visualization and visual computing. His research focuses on multiscale visualization and modeling of complex biological systems, ranging from cellular organisms to atomistic-level details.
<> 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.
<> numerical analysis (6) <> Scientific Visualization (6)

Thoughts on how to Effectively Explore Visual Representations in Mixed Reality

-

B9 L2 R2322 H1

In this talk I will report on various research projects that I carried out with my students to better understand the interaction landscape and will report on lessons we learned. I will focus mostly on AR-based setups with application examples from physical flow visualization, molecular visualization, visualization of particle collisions, biomolecular dynamics in cells, and oceanography. I will show interaction techniques that rely on purely gestural interaction, phones or tablets as input and control devices, and hybrid setups that combine traditional workstations with AR views. I will discuss navigation, data selection, and visualization system control as different interaction tasks. With this overview I aim to provide an understanding of typical challenges in immersive visualization environments and how to address some of these challenges.

Omar Mena Facio

M.S. Student, Computer Science
Omer Mena Facio is a Master student in Computer Science under the supervision of Professor Ivan Viola at the Visual Computing Center (VCC) in King Abdullah University of Science and Technology (KAUST). Education and Early Career Omer Mena Facio

Ngan Nguyen

Ph.D. Student, Computer Science
Ngan Nguyen is a Ph.D. candidate in the Computer Science Program under the supervision of Professor Ivan Viola in the Nanovisualization Research Group at the Visual Computing Center (VCC) at King Abdullah University of Science and Technology (KAUST). Education and Early Career Ngan has a Master's Degree in Computer Science. She worked at Gameloft Company as a Developer. After that, she joined the University of Information Technology, Vietnam National University in Ho Chi Minh City as a Lecturer. Research Interest Ngan is focusing on Computer Graphics, Visualization, and their overlaps into

Eva Bones

Ph.D. Student, Computer Science
Eva Bones is a Ph.D. candidate in the Computer Science Program under the supervision of Professor Ivan Viola in the Nanovisualization Research Group at the Visual Computing Center (VCC) at King Abdullah University of Science and Technology (KAUST). Research Interest Eva is focusing on Computer Graphics and Visualization. Academic Advisors Ivan Viola, Professor, Computer Science.

Da Li

M.S. Student, Computer Science
Da Li is a Master student in Computer Science under the supervision of Professor Ivan Viola at the Visual Computing Center (VCC) in King Abdullah University of Science and Technology (KAUST).

Alexandra Irger

M.S. Student, Computer Science
Alexandra Irger is a Master student in Computer Science under the supervision of Professor Ivan Viola at the Visual Computing Center (VCC) in King Abdullah University of Science and Technology (KAUST). Education and Early Career Before coming to KAUST, Alexandra graduated from TU Wien with a BSc in Media Informatics and Visual Computing in 2023. Research Interest Alexandra is focusing on Scientific Visualization and Computer Graphics.
<> uncertainty quantification (6) <> AI (5) <> Cyber Security (5) <> ISAC (5)
kaust-cemse-ece-ccsl-changhao-he

Changhao He

kaust-cemse-ece-ccsl-yousef-awad

Yousef Awad

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

Bumin Kagan Yildirim

Bang Huang

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

Xiaowei Pang

Postdoctoral Research Fellow, Electrical and Computer Engineering
Xiaowei Pang is currently a Postdoctoral Research Fellow at the Computer Electrical and Mathematical Sciences and Engineering Division (CEMSE), King Abdullah University of Science and Technology (KAUST), working with Professor Mohamed-Slim Alouini in the Communication Theory Lab (CTL). Education and Early Career Xiaowei Pang received her B.S. degree in Telecommunication Engineering from Northwestern Polytechnical University, Xi'an, China, in 2018, and her Ph.D. degree in Information and Communication Engineering from Dalian University of Technology, Dalian, China, in 2024. From 2021 to 2022
<> Python (5) <> data visualisation (4)

Task-driven Automated Data Visualization

Dr. Yunhai Wang, Professor, Computer Science, Shandong University, China

-

B9 L2 H2 R2325

Abstract By providing visual representations of data, visualization can help people to carry out many data analysis tasks more effectively. Given a data set, however, there are often too many possible visualization techniques, with each technique having many parameters to be tuned. This arises the question is if it is possible to automatically design a visualization that is best suited to pursue a given task on given input data. With my group, I developed a number of techniques to achieve this goal for different data sets such as time-series data, high-dimensional data, text as well as graphs

Thoughts on how to Effectively Explore Visual Representations in Mixed Reality

-

B9 L2 R2322 H1

In this talk I will report on various research projects that I carried out with my students to better understand the interaction landscape and will report on lessons we learned. I will focus mostly on AR-based setups with application examples from physical flow visualization, molecular visualization, visualization of particle collisions, biomolecular dynamics in cells, and oceanography. I will show interaction techniques that rely on purely gestural interaction, phones or tablets as input and control devices, and hybrid setups that combine traditional workstations with AR views. I will discuss navigation, data selection, and visualization system control as different interaction tasks. With this overview I aim to provide an understanding of typical challenges in immersive visualization environments and how to address some of these challenges.

Dr. Ciril Bohak Joins the Visual Computing Center

1 min read ·
We are proudly announcing that Dr. Ciril Bohak has joined VCC as a Postdoctoral researcher of Computer Science in October, 2020. Ciril Bohak is a Postdoctoral Researcher and Teaching Assistant in the Laboratory for Computer Graphics and Multimedia, Faculty of Computer and Information Science, University of Ljubljana, Slovenia. His main research interests are Computer Graphics, Data Visualization, and Game Technology. His current research includes real-time medical and biological volumetric data visualization on the web, visualization of geodetic data (LiDAR and orthophoto) and high-energy

Ciril Bohak

Research Scientist, Computer Science
Ciril Bohak was a Research Scientist in the NANOVIS Group, working with Professor Ivan Viola at King Abdullah University of Science and Technology (KAUST). He was a member of the Nanovisualization Research Group and works on development of novel rendering and visualization methods for visualizing data at the nano scale. Education and Early Career Ciril obtained his B.Sc., M.Sc. and Ph.D. in Computer Science from University of Ljubljana. He started his career as researcher in Laboratory for Computer Graphics and Multimedia researching in fields Music Information Retrieval, Computer Graphics and
<> embedded systems (4) <> integrated photonics (4)
KAUST-CEMSE-ECE-IPL-Nikita-Kondratyev

Nikita Kondratyev

Mikhail Mishevskii

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

Aleksandr Movsisian

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

Aram Mkrtchyan

Postdoctoral Research Fellow, Electrical and Computer Engineering
<> bioinformatics (3)

Visual Analytics for Macromolecular Science

-
This dissertation presents a suite of scientific visual analytics systems that tightly couple large-scale computational modeling - including both AI-powered inference and traditional molecular simulations - with interactive, scalable visualization.

Modeling in the Time of COVID-19: Statistical and Rule-based Mesoscale Models

1 min read ·
We present a new technique for rapid modeling and construction of scientifically accurate mesoscale biological models. Resulting 3D models are based on few 2D microscopy scans and the latest knowledge about the biological entity represented as a set of geometric relationships. Our new technique is based on statistical and rule-based modeling approaches that are rapid to author, fast to construct, and easy to revise. From a few 2D microscopy scans, we learn statistical properties of various structural aspects, such as the outer membrane shape, spatial properties and distribution characteristics

Deng Luo

Ph.D. Student, Computer Science
Deng Luo is a Ph.D. Candidate in the Computer Science program under the supervision of Professor Ivan Viola at the Visual Computer Center (VCC) at King Abdullah University of Science and Technology (KAUST) in Saudi Arabia.
<> data analysis (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.
<> Large Language Models (3) <> LiDAR (3) <> LLM (3) <> MATLAB (3) <> Nonlinear Optics (3) <> optimization (3) <> PDEs (3) <> Reinforcement Learning (3) <> remote sensing (3) <> virtual reality (3)

Thoughts on how to Effectively Explore Visual Representations in Mixed Reality

-

B9 L2 R2322 H1

In this talk I will report on various research projects that I carried out with my students to better understand the interaction landscape and will report on lessons we learned. I will focus mostly on AR-based setups with application examples from physical flow visualization, molecular visualization, visualization of particle collisions, biomolecular dynamics in cells, and oceanography. I will show interaction techniques that rely on purely gestural interaction, phones or tablets as input and control devices, and hybrid setups that combine traditional workstations with AR views. I will discuss navigation, data selection, and visualization system control as different interaction tasks. With this overview I aim to provide an understanding of typical challenges in immersive visualization environments and how to address some of these challenges.

Dr. Alexandre A. Kouyoumdjian Joins the Nanovisualization Research Group

1 min read ·
We are proudly announcing that Dr. Alexandre A. Kouyoumdjian has joined the Nanovisualization Research Group as a Research Scientist working with Professor Ivan Viola. His main research interests are Visualization & Computer Graphics, Human-Computer Interaction & Virtual Reality, and Microarchitecture. Dr. Alexandre A. Kouyoumdjian has also worked in the industry as an R&D Consultant for a start-up that develops VR applications meant to ease chronic pain and a graphics programmer for a game studio.

Alexandre A. Kouyoumdjian

Research Scientist, Computer Science
Dr. Alexandre A. Kouyoumdjian has joined the Nanovisualization Research Group as a Research Scientist working with Professor Ivan Viola. His main research interests are Visualization & Computer Graphics, Human-Computer Interaction & Virtual Reality, and Microarchitecture. Dr. Alexandre A. Kouyoumdjian has also worked in the industry as an R&D Consultant for a start-up that develops VR applications meant to ease chronic pain and a graphics programmer for a game studio. Education Profile Ph.D., Computer Science, Université Paris-Saclay,FRANCE, 2018 M.S., Computer Science (Bioinformatics and
<> 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) <> Computer science (2) <> COVID-19 (2) <> Deep generative models (2) <> Digital signal processing (2) <> distributed systems (2)

Mukhtiar Ahmad

Postdoctoral Research Fellow, Electrical and Computer Engineering
Mukhtiar Ahmad is currently a Postdoctoral Researcher at King Abdullah University of Science and Technology (KAUST), Saudi Arabia. His research interests encompass Non-Terrestrial Networks (NTN), terrestrial cellular networks, distributed systems, and edge computing, with a primary focus on enabling Ultra-Reliable Low-Latency Communication (URLLC) applications. Education and Early Career Mukhtiar Ahmad received the M.Sc. and M.Phil. degrees in Electronics from Quaid-i-Azam University, Islamabad, Pakistan, and the Ph.D. degree in Electrical Engineering from the Lahore University of Management

Yousif Aldolaijan

Yousif Aldolaijan was a Computer Science Master student under the supervision of Prof. Ivan Viola at the Visual Computing Center (VCC) at King Abdullah University of Science and Technology (KAUST). Education and Early Career Yousif received his bachelor’s degree in Computer Science at the University of Southern California (USC), Los Angeles, USA in 2018. He joined KAUST to continue his studies in Computer Science and received his Master's degree in Computer Science from KAUST in 2020. During the summer of 2018, he joined Google as a Software Engineering Intern for three months. He worked on
<> Dynamical Systems (2) <> Electroencephalograms (2) <> FPGA (2) <> Free-space optical communications (2) <> Generative AI and LLMs (2) <> healthcare (2) <> HPC (2) <> Localization (2) <> machine learning for wireless communication (2) <> modeling (2) <> multi-scale 3D visualization (2) <> multimodal sensing (2) <> nanomaterials (2) <> Network Design (2) <> Non-Terrestrial Networks (2) <> numerical methods (2) <> optical computing (2) <> photonic integrated circuits (2) <> point cloud (2)

Point cloud and volume data reconstruction and visualization

Dr. Ciril Bohak, Postdoctoral Researcher, Faculty of Computer and Information Science, University of Ljubljana, Slovenia

-

B1 L2

Abstract Our ongoing research on the reconstruction of aerial point cloud data includes reconstructing the parts of the data that are not captured by the airplane mounted LiDAR system due to the shadowing effect and lack of reflections. We are developing methods for reconstructing (1) building walls, (2) reconstruction of bridges and underlying terrain; (3) reconstruction of water surfaces of lakes and rivers, and (4) reconstruction of terrain overhangs. In all the cases we are merging the point cloud data with cadaster data or digital terrain model data for filling the gaps in the point cloud

Ciril Bohak

Research Scientist, Computer Science
Ciril Bohak was a Research Scientist in the NANOVIS Group, working with Professor Ivan Viola at King Abdullah University of Science and Technology (KAUST). He was a member of the Nanovisualization Research Group and works on development of novel rendering and visualization methods for visualizing data at the nano scale. Education and Early Career Ciril obtained his B.Sc., M.Sc. and Ph.D. in Computer Science from University of Ljubljana. He started his career as researcher in Laboratory for Computer Graphics and Multimedia researching in fields Music Information Retrieval, Computer Graphics and
<> precision agriculture (2) <> Programming language (2) <> quantum communication (2) <> statistics (2) <> stochastic processes (2) <> ultrafast fiber lasers (2) <> 2D materials (1) <> 3D graphics (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 Optics (1) <> Aerial Robotics (1) <> aerospace design (1) <> Affective AI (1) <> agricultural productivity (1) <> agricultural robotics (1) <> agriculture (1) <> AI for healthcare (1) <> AI-based Localization (1) <> ambit fields (1) <> Applied AI (1) <> Arabic NLP (1) <> artificial intelligence for wireless communication (1)