Dr. Mahmood Al-Zubaidi - Conference Chair

Postdoctoral Researcher, Division of Information & Computing Technology, College of Science and Engineering, Hamad Bin Khalifa University (HBKU), Qatar

• PhD from Hamad Bin Khalifa University (HBKU), Qatar, in 2023; MSc in Internet Engineering from the National Advanced IPv6 Center, Universiti Sains Malaysia, in 2018.
• Specializes in artificial intelligence, deep learning, machine learning, medical image analysis, image segmentation, generative AI, and Internet of Things (IoT) technologies.
• His research has a strong focus on AI-assisted medical imaging, particularly fetal ultrasound analysis, including segmentation, fetal biometry, gestational age and weight estimation, and automated detection of fetal abnormalities.
• Has contributed to peer-reviewed research published in journals and venues including iScience, Diagnostics, Data in Brief, IEEE Access, Computers in Biology and Medicine, and the Journal of Pathology Informatics.
• His recent work explores end-to-end AI ecosystems for fetal ultrasound analysis, vision-language models for medical image interpretation, automated clinical reporting, and AI-supported prenatal diagnostics.
• Currently contributes to HBKU research projects involving AI for healthcare as well as large language models and immersive technologies, including LLM-augmented experiences for cultural heritage.
• Research interests span medical AI, computer vision, deep learning, generative and multimodal AI, image segmentation, IoT, and the development of practical AI systems for healthcare and other real-world applications.

Dr. Jens Schneider - Conference Chair

Associate Professor in Data Science, Division of Information & Computing Technology, College of Science and Engineering, Hamad Bin Khalifa University, Qatar

• Holds a PhD in Computer Science from the Technical University of Munich (2009) and a diploma/MSc in Computer Science from RWTH Aachen University (2004).

• Specializes in visual computing, including interactive and GPU-based visualization, GPU-friendly data compression, hierarchical and parallel algorithms, and computer vision.

• Former Staff Scientist at the Visual Computing Center, King Abdullah University of Science and Technology (KAUST), where he previously served as Postdoctoral Research Fellow and Research Scientist.

• His teams won the IEEE Visualization Contest in two consecutive years (2005 and 2006).

• Co-author of several award-winning papers in visual computing and related areas.

• Member of professional societies including IEEE, ACM, and the scientific research honor society Sigma Xi.

• Active researcher with dozens of publications spanning topics such as efficient geometry compression, spatial data structures for GPUs, and AI-based medical image analysis.

Dr. Marco Agus - Program Chair

Associate Professor, Division of Information & Computing Technology, College of Science and Engineering, Hamad Bin Khalifa University (HBKU), Qatar

• Holds an MSc in Electronic Engineering and a PhD in Mechanical Design from the University of Cagliari, Italy.

• Specializes in visual computing, including haptics and visual rendering for medical applications, real-time exploration of massive 3D models, and machine-learning methods for scientific and biomedical data.

• Previously served as a Research Engineer at the Visual Computing Center, King Abdullah University of Science and Technology (KAUST), Saudi Arabia.

• Worked for many years as a Research Scientist and Expert Researcher in the Visual Computing groups at CRS4 (Center for Advanced Studies, Research and Development in Sardinia), Italy.

• Has taught tutorials and courses at major venues such as ACM SIGGRAPH, IEEE CVPR, and Eurographics.

• Regularly serves as program committee member, reviewer, chair, and associate editor for leading conferences and journals in visual computing and computer graphics.

Dr. Giovanni Pintore - Program Chair

Senior/Principal Researcher, Visual Computing Group, CRS4, Cagliari, Italy

• Senior researcher and engineer in the Visual and Data-intensive Computing / Visual Computing group at CRS4.

• Holds a Laurea/MSc degree in Electronic Engineering and a PhD in Information and Communication Technologies.

• Leads and contributes to research projects on AI-based indoor scene understanding, 3D reconstruction, and digital twins from panoramic and spherical images.

• Has authored more than 50 scientific publications in computer graphics, computer vision, and visual computing, including work on depth estimation, indoor layout recovery, and large-scale 3D model processing.

• Research interests include deep learning for 360° imaging, automatic 3D reconstruction of indoor environments, multiresolution 3D representations, and interactive visualization systems for smart cities, security, and space applications.

Dr. Pere-Pau Vazquez - Program Chair

Associate Professor, Computer Science Department, Universitat Politècnica de Catalunya (UPC), Spain

• Associate professor in the ViRVIG (Visualisation, Virtual Reality and Graphics) research group at UPC’s Facultat d’Informàtica de Barcelona.

• Holds a PhD in Software and a degree in Computer Science from Universitat Politècnica de Catalunya.

• Researches visual computing, including information visualization, scientific and medical visualization, volume rendering, and molecular visualization.

• Has authored numerous publications on topics such as viewpoint selection, ambient occlusion, illustrative rendering, and visualization techniques for large-scale and medical datasets.

• Teaches courses in information visualization, fast realistic rendering, scientific visualization, and medical data visualization at undergraduate and master’s levels.

Dr. Adel Bibi - Program Chair

Senior Researcher in Machine Learning and Computer Vision, Department of Engineering Science, University of Oxford, UK

• Senior Researcher in the Torr Vision Group at Oxford, focusing on machine learning, computer vision, and AI safety.

• Research Member of Common Room at Kellogg College and former Junior Research Fellow there.

• Leads a research group on trustworthy and secure AI, with emphasis on robustness, certification, adversarial attacks/defenses, and continual learning for large models.

• Previously postdoctoral researcher and now long-term collaborator with the Torr Vision Group.

• Holds a PhD and MSc in Electrical Engineering (machine learning / computer vision track) from KAUST, and a BSc in Electrical Engineering from Kuwait University.

• Recipient of several major awards, including an Amazon Research Award (2022), Google Gemma-related academic award, and a UK AI Safety / Security grant, alongside multiple best paper and outstanding reviewer awards at top ML and CV conferences.

• Has published extensively in leading venues such as NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, and TPAMI, with several oral and spotlight papers.

Dr. Dena Al-Thani - Treasurer

Associate Professor, Director of Interdisciplinary Programs, and Co-Founder of the A-Sense Center of Excellence, College of Science and Engineering, Hamad Bin Khalifa University (HBKU), Qatar

• PhD in Computer Science from Queen Mary University of London, specializing in Human–Computer Interaction and inclusive design.

• Leads research at the intersection of accessibility, inclusive design, eHealth, and human–AI interaction, with a strong focus on supporting marginalized and neurodivergent communities.

• Co-founded the Autism Sensing Center of Excellence (A-Sense), advancing AI and sensing technologies to support autistic individuals and their families.

• Actively publishes in high-impact journals and international conferences on topics such as digital wellbeing, explainable AI, assistive technologies, and inclusive digital systems.

• Frequently invited as an expert speaker and panelist on inclusion, accessibility, and ethical AI, contributing to national and international initiatives on digital inclusion and disability.

Dr. Alberto Jaspe-Villanueva - Tutorials Chair

Research Scientist, High-Performance Visualization Group, Visual Computing Center, King Abdullah University of Science and Technology (KAUST), Saudi Arabia

• Computer science researcher and engineer specializing in computer graphics, visual computing, and real-time rendering of massive 3D models.

• Research focuses on large-scale model exploration, real-time visualization, digital heritage, and immersive environments from panoramic and 3D data.

• Has authored numerous publications on topics such as indoor reconstruction, sparse voxel data structures, panoramic view graphs, and interactive exploration of cultural heritage models.

• Previously Expert Researcher in the Visual Computing Group at CRS4 (Italy) and Marie Curie Early Stage Researcher working on real-time massive model exploration.

• Developed early research career at the VideaLAB group, University of A Coruña (Spain), where he worked on terrain rendering, virtual reality, and natural interaction, completing his BSc in Computer Science and MSc in High-Performance Computing before earning a PhD in Computer Science.

Dr. Mariam Bahameish - Tutorials Chair

Lecturer, College of Science and Engineering, Hamad Bin Khalifa University (HBKU), Qatar

• PhD in Computer Science from Queen Mary University of London; MSc in Computing from Imperial College London; BSc in Computer Engineering from Qatar University.

• Researches at the intersection of human–computer interaction, cognitive science, and artificial intelligence, with a focus on digital health and wellbeing.

• Works on projects involving physiological sensing (e.g., heart rate variability biofeedback), immersive and virtual reality systems, and accessible, user-centred technologies.

• Co-authors publications on topics such as biofeedback for working memory, social media and explainable AI, and gamified digital learning in Arabic mathematics education.

Dr. Marwa Qaraqe - Tutorials Chair

Associate Professor, Division of Information & Computing Technology, College of Science and Engineering, Hamad Bin Khalifa University (HBKU), Qatar

• PhD and MSc in Electrical Engineering from Texas A&M University (USA); BSc in Electrical Engineering (summa cum laude) from Texas A&M University at Qatar.

• Co-founder of the Autism Sensing Center of Excellence (A-Sense), advancing AI-enabled sensing and assessment for autistic children.

• Researches lightweight security for wireless networks, machine learning for wireless communications, AI-enabled technologies for personalized learning and intervention in autism, and predictive analytics.

• Has authored more than 180 research outputs, with work spanning wireless communications, physical-layer security, federated learning, and AI for healthcare and education.

• Lead or co-lead investigator on multi-million-dollar competitive research grants and recipient of awards such as the IEEE GLOBECOM Best Paper Award and the Richard E. Wing Award for Excellence in Research.

Dr. Noora Fetais - Industrial Use Cases Chair

Associate Professor, Department of Computer Science and Engineering, College of Engineering, Qatar University, Qatar

• Expert in emerging technologies with a focus on cybersecurity, blockchain, and visualization.

• Founding President (and previously Founding Secretary-General) of the Arab Association for Cyber Security.

• Former Director of the KINDI Center for Computing Research and the first woman to chair the Faculty Senate at Qatar University.

• Represents Qatar University at international bodies such as the ITU (UN) and Qatar Internet Exchange Point (Qatar IXP).

• Holds a PhD in Informatics from the University of Sussex (UK) and an Executive Master’s in Leadership from Georgetown University (US).

• Leads and collaborates on large, multi-institutional research projects in cybersecurity and emerging technologies, and is an active mentor and advocate for women in cyber security regionally and internationally.

Dr. Abdullatif Albaseer - Demo Chair

Laboratory Manager and Researcher, College of Science and Engineering, Hamad Bin Khalifa University (HBKU), Qatar

• Holds a PhD in Computer Science and Engineering from HBKU, with a dissertation on federated learning over wireless edge networks, and an MSc in Computer Networks from King Fahd University of Petroleum and Minerals.

• Research focuses on deep reinforcement learning, federated learning at the wireless edge, smart grid cybersecurity, and proactive network defense.

• Has published widely on energy-efficient and fair federated edge learning, privacy-preserving federated learning, and deep learning–based cybersecurity for smart grid and communication networks.

• Active collaborator within the Information & Computing Technology division at HBKU, contributing to multi-disciplinary projects on AI, wireless communications, and secure edge intelligence.

Dr. Mohamad Hassan Fadi Hijab - Web3D Chair