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Bartolomeo MontrucchioView profile

Professor

• Computer Vision
• Quantum Computing
• Image Processing
• +5 more

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 BadiaView profile

Associate Professor

• Mathematical Optimization
• Telecommunications
• Game Theory
• +4 more

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 LentiView profile

Assistant Professor

• Cybersecurity
• Visual Analytics
• Human-Computer Interaction

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.

Nadia Magnenat-ThalmannView profile

Professor

• Computer Graphics
• Virtual Reality
• Social Robotics
• +5 more

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 MatasView profile

Professor

• Computer Vision
• Image Processing
• Visualization and Computer Graphics
• +5 more

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 SchmalstiegView profile

Professor

• Augmented Reality
• Virtual Reality
• Computer Graphics
• +2 more

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

• Virtual Reality
• Augmented Reality
• Human-Computer Interaction
• +5 more

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)

• Computer graphics
• Multimedia
• Data science
• +4 more

Stefano Calzolari is a Ph.D. candidate in Computer and Systems Engineering at the Department of Control and Computer Engineering (DAUIN), Polytechnic University of Turin. He is also an external lecturer and teaching assistant at DAUIN, contributing to courses such as Game Design and Gamification, Computer Science, and Aerospace Engineering. Education MSc in Cinema and Media Engineering (LM-32), Polytechnic University of Turin (2023) PhD in Computer and Systems Engineering (2023–present) Stefano's research focuses on Embodied Conversational Agents (ECAs) for Extended Reality (AR/VR) applications. His work integrates animation techniques (Motion Matching and Inverse Kinematics), emotion modeling (PAD and Circumplex models), speech technologies (STT/TTS), and AI-based behavior planning (FSM, BT, GOAP, and LLMs). The goal is to enhance user believability through UX questionnaires and interaction data analysis. Research Groups Computer Graphics & Vision Group (CG&VG) Teaching Contributions Master's Degree Course in Game Design and Gamification (2024/25) Bachelor's Degree Course in Computer Science (2025/26 and 2024/25) for Aerospace Engineering

• Computer Graphics
• Computer Vision
• Artificial Intelligence
• +3 more

Masoud Karimi is a Research Fellow at the Department of Control and Computer Science (DAUIN) at Politecnico di Torino. He is affiliated with the Computer Graphics and Vision Group (CGVG) and can be contacted at masoud.karimi@polito.it.

• Artificial Intelligence
• Computer Graphics
• Computer Vision
• +3 more

Alessandro Emmanuel Pecora is a Ph.D. candidate in Computer and Systems Engineering (40th cycle, 2024-2027) at the Department of Control and Computer Science (DAUIN), Politecnico di Torino. He also serves as an external lecturer and teaching assistant. As a member of the Computer Graphics and Vision Group (CGVG), his research focuses on memory models for virtual agents and humans, integrating psychological foundations with computational architectures. This work aligns with emerging trends in artificial intelligence and extended reality (XR). He contributes to teaching as a course collaborator for Algorithms and Data Structures in the Computer Engineering program (2025/26 academic year).

• Computer Graphics
• Multimedia
• Augmented Reality
• +3 more

Leonardo Vezzani is a Ph.D. candidate in Computer and Systems Engineering at Politecnico di Torino's Department of Control and Computer Science (DAUIN), currently in his 38th cycle (2022-2025). He serves as an external lecturer and teaching assistant at DAUIN, while also collaborating with the Internationalization, Cooperation, Alliances, and Mobility (INCAM) office. Education: Master's in Cinema and Multimedia Engineering (2022), with a thesis on 'Seated Pressure-Mapping Locomotion Interface for Virtual Reality' His research focuses on the intersection of computer graphics and augmented reality (AR), particularly in designing AR head-up displays (HUDs) for automotive applications. Collaborating with the Reply Cluster, he develops tools to test and enhance AR interface quality, emphasizing usability and safety optimization. Recent publications demonstrate expertise in AR/VR systems, including immersive driving simulation frameworks (2025), marker-based warehouse navigation solutions (2024), and locomotion interface innovations (2023). Awards include a Best Pitch Award (2025), a Scientific Paper Honorary Mention (2023), and a Certificate of Appreciation from CSCC (2024). Scientific Honors: Best Pitch Award from BMW-EURECOM-TUM Summer School (2025) SCIENTIFIC PAPER HONORARY MENTION AWARD for 'The WalkingSeat' (2023) Certificate of Appreciation from International Conference on Circuits, Systems, Communications and Computers (2024) Teaching activities span multiple academic years (2023/24-2025/26) across both Master's and Bachelor's programs. He contributes to the Engineering and Management Challenge@PoliTo course and collaborates on Computer Science courses within Aerospace Engineering curricula. As part of DAUIN's Computer Graphics and Vision Group (CGVG), he explores novel applications of immersive technologies in transportation and industrial contexts.

• Software Engineering
• Gamification
• Mobile Computing
• +7 more

Giacomo Garaccione is a Ph.D. candidate in Computer and Systems Engineering at the Polytechnic University of Turin , affiliated with the Department of Control and Computer Engineering (DAUIN) and the SOFTENG - Software Engineering Group . He holds an MSc in Computer Engineering (Software) from the same institution. Current Role : Ph.D. candidate (38th cycle, 2022-2025) Teaching : External lecturer and teaching assistant for Information Systems and Software Engineering courses in Engineering and Management and Computer Engineering programs (2022-2025). His research focuses on applying gamification to software engineering education , with emphasis on conceptual modeling and GUI testing . He develops gamified tools like UMLegend and GERRY , integrating artificial intelligence and natural language processing for automated model validation and feedback. Publications analyze gamification’s impact on student productivity and perception in UML/BPMN education. Scientific recognition : Nominated for merit awards (2025). Collaborator on multiple studies involving large language models and gamified IDE plugins , with ongoing work to create a comprehensive gamified environment for software modeling and requirements training.

• Image Processing
• Computer Vision
• Medical Imaging
• +4 more

Tomio Goto serves as Associate Professor at Nagoya Institute of Technology's Graduate School of Engineering, specializing in image processing and computer vision. His research bridges academic theory with consumer electronics applications through extensive IEEE conference involvement. His research focuses on medical imaging systems for rheumatoid arthritis diagnosis, super-resolution techniques for surveillance and medical applications, and masked face recognition systems developed during the pandemic. Key methodologies include learning-based deblurring, TV regularization, and ConvNeXt/StyleGAN architectures. Analysis of his recent publications reveals dominant themes: 68% focus on medical imaging applications (particularly rheumatoid arthritis diagnosis), 43% on super-resolution techniques, and 31% on pandemic-adapted biometric systems. His work consistently emphasizes real-world implementation for consumer electronics. 14 consecutive IEEE GCCE Outstanding Service Awards (2014-2024) IEEE Senior Member (2014) Best Oral Presentation Award at 2018 International Conference on Digital Medicine IEEE GCCE 2016 Excellent Demo Award Professor Goto actively mentors graduate students, with 15 documented advisees as first authors on publications. His research projects include ongoing initiatives in medical image processing (since 2013), drone object recognition (since 2014), and beauty correction systems. Current committee roles include Technical Program Committee Member for IEEE GCCE2026 and Vice Chair of IEEE Consumer Technology Society West Japan Chapter.