Andrea Bottino is an Associate Professor at the Department of Control and Computer Engineering (DAUIN) at the Polytechnic University of Turin. He has been actively involved in the Computer Graphics and Vision Group and leads various VR@POLITO initiatives. Chair of the Master HUMANAIZE program Coordinator of multiple Machine Learning for Vision and Multimedia courses Research Focus : Augmented and Virtual Reality for education and safety Computer Vision with applications to medical imaging and kinship analysis Human-Computer Interaction in immersive environments Multimodal Learning systems XR for Cultural Heritage Publication Trends : Recent works focus on AI applications , XR training systems , and computer vision techniques applied to medical diagnostics and cultural preservation . Leadership Roles : Scientific Director for MEI - Interactive Egyptian Museum Coordinator of PNRR Mission 4 projects Principal Investigator for Holo-BLSD and ALPTECH initiatives Labs and Collaborations : Active in Visionary LAB and VR@POLITO Collaborates with Balletto Teatro di Torino for cultural XR applications Partners with Fondazione Museo Egizio and Robin Studio
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.
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)
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
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).
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.
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.
