Santa Di Cataldo is an Associate Professor at the Department of Control and Computer Engineering (DAUIN) of Politecnico di Torino. His research focuses on computer vision, pattern recognition, digital image processing, and medical image processing, with applications in industrial systems and AI for manufacturing. Scientific Branch: IINF-05/A - Information Processing Systems ERC Sectors: PE6_8 - Computer graphics, computer vision, multi media, computer games ERC Sectors: PE6_11 - Machine learning, statistical data processing His work includes developing AI-driven anomaly detection frameworks, physics-informed neural networks for additive manufacturing optimization, and neuro-symbolic approaches for Industry 4.0 applications. He supervises PhD students in Artificial Intelligence and Computer Engineering programs, collaborating on projects like BIG (Blue Is Green) and PNRR-Complementary Plan. Premio Donna Innovazione (2010) He leads courses such as Machine Learning in Applications and Applied AI and Machine Learning , while contributing to bioinformatics and robotics-related teaching. His research is supported by IAM@PoliTo and EDA groups, utilizing LADISPE laboratory facilities.
Bartolomeo Montrucchio is a Full Professor of Information Processing Systems (ING-INF/05) at the Department of Control and Computer Engineering (DAUIN) of the Polytechnic University of Turin. He is a member of the Interdepartmental Center Photonext - PoliTo Interdepartmental Center on Applied Photonics and serves as deputy director at the Interuniversity Center of Regional Interest for the Training of Secondary School Teachers (CIFIS) since July 2012. Additionally, he has held an adjunct professor position at the University of Illinois at Chicago during July 2008. Professor Montrucchio's research spans several cutting-edge areas with a primary focus on quantum computing, computer vision, and sensor networks. His work encompasses image processing, scientific visualization, parallel and distributed systems, and wireless sensor networks. He actively contributes to European research initiatives including the EQUO (European QUantum ecOsystems) project as Scientific Responsible. His research bridges theoretical computer science with practical applications across multiple industries. His publication record shows a strong trajectory toward quantum technologies, with numerous recent publications focusing on quantum machine learning, quantum algorithms for financial applications, and quantum applications in cybersecurity. His work demonstrates increasing emphasis on practical implementations of quantum computing in real-world scenarios, particularly in industrial settings and telecommunications. Best student paper award at BIOSIGNAL2002, conferred by EURASIP, Italy (2002) Associate Editor of IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2019-present) Professor Montrucchio actively supervises numerous PhD students working on quantum computing applications across various domains including finance, cybersecurity, traffic optimization, and industrial use cases. His teaching portfolio includes courses on Quantum Computing, Parallel and Distributed Computing, and Image Processing and Computer Vision across multiple degree programs including Computer Engineering, Biomedical Engineering, and Quantum Engineering. He leads multiple research projects funded by both competitive calls and commercial contracts, with a significant focus on quantum technologies since 2019. His patent portfolio includes several inventions related to tire manufacturing processes and visual rehabilitation for telemedicine.
Leonardo Badia is an Associate Professor at the University of Padova . He holds a PhD in Information Engineering from the University of Ferrara and has held academic positions at IMT Lucca Institute and the University of Padova since 2016. Research Interests : His work focuses on mathematical optimization for communication networks, including Markov models for protocol analysis, cross-layer optimization of routing/scheduling/resource allocation, Age-of-Information (AoI) , energy harvesting , and game theory applications. He has published over 200 papers in top-tier journals and conferences. Recent Articles highlight his contributions to AoI optimization, adversarial modeling in CPS, strategic cooperation in IoT/metaverse, and energy-efficient network protocols. His work spans telecommunications , game theory , and networking , with subfields like hybrid ARQ , multi-radio resource management , and QoS-aware scheduling . Awards : Best Paper Awards at IEEE MobiWac 2005, IEEE CAMAD 2006, and IEEE Globecom 2007.
Simone Lenti is an Assistant Professor (Ricercatore RTDa) at the Department of Computer, Control, and Management Engineering of Sapienza University of Rome. He is an active member of the A.WA.RE research group , which specializes in visual analytics. Lenti obtained his Ph.D. in 2021 with a dissertation on visual analytics techniques for cybersecurity. His research bridges cybersecurity , visual analytics , and human-computer interaction , focusing on: Developing computational methods for vulnerability analysis (e.g., NLP for CVE relevance, smart contract taxonomies) Designing visual tools for threat detection (e.g., attack graphs, firmware fuzzing) Enhancing interpretability in data-driven systems (e.g., partial dependence analysis, process mining) Lenti's publications (2019–2025) demonstrate a consistent focus on applying visual analytics to cybersecurity challenges , with recent expansions into bioinformatics and education. Key trends include automated vulnerability management, human-centered explainability, and scalable threat modeling. Awards: IEEE VizSec 2018 Best Paper for contributions to cybersecurity visualization. He contributes to academic infrastructure through tools like easyDeclare (declarative process modeling) and BUCEPHALUS (business-centric cybersecurity analysis), emphasizing practical applications of his research.
Professor Nadia Magnenat-Thalmann serves as Director of the Institute for Media Innovation at Nanyang Technological University (NTU), Singapore, and founded MIRALab at the University of Geneva. Her career spans interdisciplinary research in computer graphics, virtual humans, and social robotics, with over 600 publications and 300+ keynote addresses including appearances at the World Economic Forum. Her educational background includes bachelor's and master's degrees in psychology, biology, chemistry, and computer science, followed by a PhD in quantum physics from the University of Geneva. Her research integrates computer graphics with art, fashion, and biomechanics, producing applications like the 3D virtual patient and the emotionally responsive social robot Nadine. Professor Magnenat-Thalmann has received prestigious recognition including honorary doctorates from Leibniz University of Hannover and the University of Ottawa, and the Humboldt Research Award. Honorary Doctorate from Leibniz University of Hannover Honorary Doctorate from University of Ottawa Humboldt Research Award She has supervised numerous PhD students, participated in over 50 European research projects, and serves as Editor-in-Chief of The Visual Computer and co-Editor-in-Chief of Computer Animation and Virtual Worlds . As a life member of the Swiss Academy of Engineering Sciences, she leads groundbreaking work at MIRALab and NTU's Institute for Media Innovation, where her teams pioneer human-robot interaction and virtual rehabilitation systems.
Jiri Matas is a Professor at the Center for Machine Perception, Faculty of Electrical Engineering, Czech Technical University in Prague. He holds a PhD from the University of Surrey (UK, 1995) and has published over 200 peer-reviewed papers, accumulating ~34,000 Google Scholar citations (h-index 65) and ~13,000 Web of Science citations (h-index 43). Education: PhD in Computer Science (University of Surrey, 1995) His research spans computer vision, image processing, and artificial intelligence, focusing on visual tracking, object recognition, image matching and retrieval, sequential pattern recognition, and RANSAC-type optimization methods. His work has been recognized with multiple best paper awards at premier conferences like BMVC, ACCV, and ICDAR. Academic Leadership: He has co-chaired major conferences (ECCV 2004/2016, CVPR 2007), served on the editorial board of the International Journal of Computer Vision (IJCV), and acted as Associate Editor-in-Chief for IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI). Additionally, he contributed to the European Research Council (ERC) computer science panel. Scientific Awards: Best paper prize at British Machine Vision Conference 2002 Best paper prize at British Machine Vision Conference 2005 Best paper prize at Asian Conference on Computer Vision 2007 Best paper prize at International Conference on Document Analysis and Recognition 2015
Dieter Schmalstieg is a full professor and head of the Institute of Computer Graphics and Vision at Graz University of Technology, Austria. His research focuses on augmented reality, virtual reality, computer graphics, visualization, and human-computer interaction. He earned Dipl.-Ing. (1993), Dr. techn. (1997), and Habilitation (2001) degrees from Vienna University of Technology. Over 400 peer-reviewed publications with 20,000+ citations Twenty+ best paper awards and nominations His research areas include: Augmented and Virtual Reality Computer Graphics Interactive Visualization Organizational roles: Associate Editor-in-Chief, IEEE Transactions on Visualization and Computer Graphics Associate Editor, Frontiers in Robotics and AI Member, IEEE International Symposium on Mixed and Augmented Reality steering committee Chair, EUROGRAPHICS Working Group on Virtual Environments (1999–2010) Key affiliations: K-Plus Competence Center for Virtual Reality and Visualization (Vienna) Know-Center (Graz) Founder, Christian Doppler Laboratory for Handheld Augmented Reality (2008) Scientific honors: START Career Award (2002) IEEE Technical Achievement Award (2012) IEEE ISMAR Career Impact Award (2020) Fellow of IEEE Member, Austrian Academy of Sciences Member, Academia Europaea
Edoardo Battegazzore is a Research Fellow at the Department of Control and Computer Engineering (DAUIN) at Politecnico di Torino , where he also serves as an external lecturer and teaching assistant. His work spans virtual and augmented reality applications in medical training, cognitive psychology, and public safety, supported by funded projects such as Holo-BLSD (2024-2025). Education: Completed his PhD (XXXV Cycle) with a thesis titled "Virtual and Augmented Reality Applications for Public Health and Safety" (2024), advised by Andrea Bottino and Fabrizio Lamberti Research interests focus on: Virtual Reality (VR) and Augmented Reality (AR) for medical training and cognitive testing Human-Computer Interaction in collaborative AR environments Simulation Modeling for seismic and pedestrian evacuation dynamics Gamification in education and behavioral studies Recent publications highlight trends in VR/AR applications for prosthetics, airway management, and public health, alongside behavioral studies on cooperation and competition. His work also covers usability evaluations of AR/VR devices for industrial and emergency training. Current affiliations include: CGVG - Computer Graphics and Vision Group (DAUIN) Collaborator on funded projects like Holo-BLSD (2024-2025)
