Giovanni Noselli is an Associate Professor at SISSA - International School for Advanced Studies in Trieste, Italy, specializing in Solid and Structural Mechanics. He leads experimental and theoretical research at the SAMBA Lab , focusing on: Biological motility at micro-scale Structural and material instabilities Fracture mechanics of soft active materials Bio-inspired mechanical systems Additive manufacturing applications Research trends from his publications show interdisciplinary focus combining mechanics, biology, and materials science, with emphasis on: Flutter instability in soft/hard materials Hydrogel and gel-based systems Electro-mechanical actuation Nutation in plant systems Micro-swimming and crawling mechanisms Metamaterial design Scientific awards : Outstanding Ph.D. Thesis (2011, University of Trento) AIMETA Junior Prize in Structural Mechanics (2015) Key grants include: PRO3 Program (2022-2024, €65k) - Swarm intelligence in organism collectives PRIN DISCOVER (2023-2025, €75k) - Bioinspired actuator design GNFM Fellowship (2016, €4.5k) - Soft active material instabilities NOFYSAS Fellowship (2012-2016, €40k) - Biomimetic micro-robots
Annalisa Barla is an Associate Professor at the Department of Computer Science, Bioengineering, Robotics and Systems Engineering (DIBRIS) at the University of Genoa. She holds an interschool affiliation in mathematical, physical, and natural sciences. Her work bridges AI, bioengineering, and interdisciplinary research in design. Teaching focuses on AI fundamentals, medical AI applications, data visualization, and image processing across master's programs in product design, bioengineering, and computer science. Research interests include AI-driven medical diagnostics (Alzheimer's, epilepsy), network science, and interdisciplinary design analysis. Her research applies machine learning to healthcare, neuroscience, and academic collaboration networks. Notable projects include Alzheimer's detection via deep learning and AI-based redesign of university websites.
Angelo Cenedese is an Associate Professor at the Department of Information Engineering (DEI), University of Padova, and leads the SPARCS Lab (Flying Arena and Mobile Robotics Laboratory). He co-leads the NAVLAB (Autonomous Navigation Laboratory) and holds senior roles in IEEE societies, including the Control Systems Society (CSS) and Robotics and Automation Society (RAS). His academic activities span teaching, editorial work as Associate Editor for IEEE Transactions on Industrial Informatics, and leadership in research projects focusing on robotics, control systems, and multi-agent networks. His research interests include robotics , control systems , multi-agent coordination , computer vision , autonomous navigation , and industrial automation . His recent publications emphasize machine learning for industrial vision systems, adaptive control in aerospace robotics, distributed state estimation , and secure UAV navigation under GNSS spoofing. Key trends involve edge computing , collaborative robotics , and AI-driven optimization . Scientific Awards: Award for 'Most Innovative Application' at Quality Control by Artificial Vision Conference (QCAV 2019) His projects include AI in Manufacturing (AIMS5.0), Sustainable Mobility (PNRR-MOST), and 6G Networking (PREDICT-6G), often in collaboration with Italian and international institutions. Teaching roles cover Robotics and Control , Networked Control Systems , and Computer Vision courses at both undergraduate and graduate levels.
Vincenzo Caglioti is a Professor at the Department of Electronics, Information and Bioengineering (DEIB) of Politecnico di Milano. His research focuses on computer vision, robotics, and image processing, with emphasis on motion analysis, sensor fusion, and multi-robot systems. He has contributed extensively to fields such as augmented reality, motion blur recovery, and uncalibrated camera systems. Key research areas include: Development of algorithms for 3D reconstruction from motion-blurred images Design of efficient exploration strategies for mobile robots Integration of sensor data for environmental monitoring and autonomous navigation Analysis of geometric properties in catadioptric systems His work spans theoretical advancements in computer vision alongside practical applications in robotics and surveillance. Over 30 years of publications demonstrate a sustained contribution to advancing perception systems for autonomous systems. No scientific awards explicitly listed in provided texts Labs/Teams: Likely affiliated with DEIB's Robotics and Computer Vision research groups, though specific lab names not explicitly stated in text.
Carcaterra Antonio is a Full Professor at Sapienza University of Rome, specializing in control systems, robotics, and structural engineering. His research focuses on advanced control methodologies, nonlinear dynamics, and innovative applications in mechanical engineering. Key research areas include: vibration control, autonomous robotics, metamaterials, structural health monitoring, and energy harvesting systems. Recent projects involve developing novel algorithms for damage detection in infrastructure and optimizing gait patterns for quadruped robots. His work integrates machine learning techniques with traditional engineering principles, exemplified by projects like the SUNMARE marine vehicle and the Auto-sapiens autonomous driving system. He has pioneered methods for wave propagation analysis in nonlocal materials and developed adaptive control strategies for automotive suspensions. Notable contributions include the ADACTA damage detection technique and the VFC variational feedback controller. His research bridges theoretical developments with practical applications in transportation systems, environmental monitoring, and disaster response technologies.
Manuela Farinosi is Associate Professor in Sociology of Cultural and Communicative Processes at DMIF, University of Udine, and Director of NuMe Research Laboratory on New Media. Her research examines the social and cultural implications of digital media, communicative processes, and participatory practices across mediated and non-mediated contexts. Research interests focus on digital sociology, including internet studies, social media platforms, and the sociocultural dimensions of technology adoption. Recent work explores AI perceptions, influencer activism, digital inclusion, and pandemic impacts on social systems. Publications demonstrate consistent focus on technology-society interfaces, with recent articles examining generative AI in education, disability advocacy through social media, and community responses to emergencies. Research employs diverse methodologies including cluster analysis, action research, and cross-cultural studies. Current work addresses ethical AI implementation, digital activism, and participatory communication frameworks in crisis situations.
Associate Professor at the University of Milano Bicocca (since 2020) and Lecturer at the University of Essex (since 2017). Specializes in Robotics, Machine Learning, Computational Neuroscience, and Social Media. Current projects include COURAGE (social media companion for teens) and POTION (computational models of social interaction). Holds a PhD in Robotics from the University of Genoa (2009) and a Laurea in Information Engineering from the University of Palermo (2004). Research focuses on active perception, human-robot interaction, and Bayesian models of cognition. Awards include the Marie Curie COFUND Fellowship and a Best Paper Award. Major contributions include work on reinforcement learning, active inference, and socially aware AI systems. Supervises multiple PhD and graduate students. Grants include funding from Volkswagen Foundation, EU H2020, and the University of Essex.
Marco De Angelis is a Senior Assistant Professor (fixed-term) at the Department of Psychology 'Renzo Canestrari', University of Bologna. His research focuses on digital transition, human factors, occupational safety, and mental health at work. He leads the H-WORK project, a EU-funded initiative promoting mental health in SMEs and public workplaces through multilevel interventions. He is also involved in projects like Digi-B-Well, addressing digital wellbeing and SME digitalization. Education: PhD in Psychology (2019, University of Bologna), Master's in Work and Organizational Psychology (2013), and Bachelor's in Psychology (2011, Sapienza University of Rome). Professional experience includes roles in the Modena Local Health Authority (2013–2014) and the CE.TRANS research group (2014–2015). Research interests emphasize digital interventions for mental health, AI integration in workplaces, safety systems design, and compassionate healthcare organizations. He coordinates the LAV.OR.I.O. Research Lab, exploring work-related stress, organizational innovation, and human factors. Teaching activities span international programs in Work-Organizational Psychology, Chemical Innovation, and International Development. He supervises student theses on digital mental health, AI at work, and Industry 5.0 cognitive workload. Membership includes editorial boards for the International Journal of Environmental Research and Public Health , Human Factors and Ergonomics Society - Europe, and associations like EAWOP, SIOP, and EAOHP. He contributes to over 100 peer-reviewed articles and conference proceedings, focusing on workplace safety, technology acceptance, and mental health policies.
Luca Pareschi is an Associate Professor at the University of Rome Tor Vergata, specializing in Organization Studies. He teaches courses on HR Analytics, Digital Transformation, and Cultural Management in both undergraduate and graduate programs. His research focuses on organizational dynamics in cultural industries, public policy analysis, and innovative applications of topic modeling in humanities research. Key research interests include accessibility regulations in public spaces, heritage craft preservation, EU regional policy communication, and the impact of robotics on workplace organization. He actively contributes to interdisciplinary projects like PERCEIVE (analyzing EU cohesion policies) and MITAO (software for humanities text analysis). Recent publications explore tensions between tradition and innovation in cultural festivals, resistance to accessibility reforms, and the role of discourse in shaping organizational identities. His work bridges sociological theory with practical policy implications, particularly in areas of disability rights and small business compliance. He has served as a researcher on multiple EU-funded initiatives and maintains an active teaching portfolio across multiple academic programs.
Giorgio C. Buttazzo is a Full Professor specializing in real-time systems, embedded computing, and AI integration. His research focuses on scheduling algorithms, cyber-physical systems, and security mechanisms for time-critical applications. He has contributed significantly to the IEEE community, including the 2023 IEEE TCCPS Early-Career Award. Research Interests: Real-Time Scheduling and Resource Management Embedded Systems and Energy Efficiency AI Security and Adversarial Robustness Cyber-Physical Systems and Robotics Key Publications (2023-2024) explore topics like memory integrity for unsafe languages, adversarial attack defenses, and dataset generation for autonomous systems. His work bridges theoretical foundations with practical implementations in FPGA-based hardware and heterogeneous platforms. Awards: Recipient of the IEEE TCCPS Early-Career Award 2023 for contributions to cyber-physical systems research. Advising/Grants: Extensive collaboration on EU-funded projects and industry partnerships, though specific grants/students are not explicitly listed in the provided data.
Lorenzo Vannozzi is an Assistant Professor at The BioRobotics Institute of Scuola Superiore Sant’Anna, specializing in biomaterials for tissue engineering and piezoelectric materials for regenerative medicine. He earned his Ph.D. in Biorobotics in 2017 from the University of Pisa after completing his Master's thesis cum laude in Biomedical Engineering. Research Interests: Design of muscle cell-based actuators for biohybrid robotics Development of piezoelectric hydrogels for cartilage regeneration Smart responsive ultra-thin films for localized therapies 3D bioprinting of regenerative materials Recent Publication Trends: His work focuses on biodegradable piezoelectric materials (2025), ultrasound-stimulated cartilage repair (2024-2025), arthroscopic hydrogel delivery systems (2024), and biohybrid actuator integration (2023-2025). These publications demonstrate cross-disciplinary innovation in biomedical robotics, regenerative medicine, and smart material design. Collaborative Projects: He collaborates with Prof. Leonardo Ricotti's "Regenerative Technologies" group and has contributed to novel steerable catheters actuated by muscle cells (BioMeld project, 2023), ultrasound-responsive nanomaterials (2018), and self-assembling polymeric structures (2013-2015).
Luigi Glielmo is a Professor of Automatic Control at the University of Sannio in Benevento, Italy. He holds a Master's and PhD in Electronic Engineering and Automatic Control from the University of Naples Federico II. Previously, he taught at the University of Palermo before returning to Naples. His academic leadership roles include Head of the Department of Engineering at University of Sannio (2001–2007), Rector’s Delegate for Technology Transfer (2009–2019), and Coordinator of PhD programs in Information Engineering and Information Technologies for Engineering. Research interests focus on automatic control engineering, including model predictive control, renewable energy systems, smart grids, robotics, biomedical applications (e.g., deep brain stimulation modeling), satellite autonomy, and Boolean control networks. He founded the GRACE research group and has authored over 190 papers, two books, and holds two patents. He is a Senior Member of IEEE, serves on the editorial board of IEEE Control Systems Letters, and chairs the IEEE Control Systems Society Technical Committee on Automotive Controls. Leadership roles include General Co-Chair of the 2019 European Control Conference and ordinary member of IFAC’s Conference Board. His work bridges theoretical advancements with practical applications in energy systems, robotics, and industrial automation.
Stefania Tamea is an Associate Professor at the Department of Environmental, Land and Infrastructure Engineering (DIATI) at the Polytechnic University of Turin. She is also a member of the Interdepartmental Center PIC4SeR - PoliTO Interdepartmental Center for Service Robotics. Her academic work centers on hydrological modeling, water resources, irrigation, and water footprint assessment, with a focus on climate change impacts. PhD in Water Engineering from Polytechnic University of Turin (2007) Scientific disciplinary sector: CEAR-01/B - Hydraulic and Maritime Construction and Hydrology (Area 0008 - Civil Engineering and Architecture) Her research interests include hydrological modeling, irrigation systems, water footprint, virtual water, remote sensing of water availability (especially in mountain and glacial regions), and climate change adaptation. She leads and participates in multiple research projects related to sustainable water management, drought risk modeling, and satellite-based monitoring of irrigation. Her work aligns with key Sustainable Development Goals, including SDG 6 (Clean Water), SDG 11 (Sustainable Cities), SDG 12 (Responsible Consumption), and SDG 13 (Climate Action). Her recent publications reflect a strong trend in integrating satellite data and statistical models to assess water availability, crop needs, and climate risks, particularly in agricultural and alpine environments. She focuses on both local and national scales, with significant contributions to understanding Italy’s water-food nexus and virtual water trade. Enrico Marchi lecture award (2015) WRR Editor's Choice Award (2015) She supervises several PhD students, including Martina Viscido, Emanuele Mombrini, Amirarsalan Shahmohammadi, and Elisabetta Corte, on topics ranging from drought risk modeling to proglacial hydrology. She is the scientific responsible for multiple funded research projects such as CliRA, MountResilience, and CONCERTO. She also contributes to departmental agreements and commercial research, including water and carbon footprint assessments for ski resorts and irrigation governance frameworks. Stefania Tamea is actively involved in the Glacier Lab (DIATI), a multidisciplinary research group focusing on mountain hydrology and environmental change. Her work combines field monitoring, remote sensing, and modeling to assess water resources under changing climatic conditions.
Claudio Casetti is a Full Professor at the Department of Control and Computer Engineering, Politecnico di Torino, Italy. His academic career spans over 250 peer-reviewed publications in vehicular networks, Intelligent Transportation Systems (ITS), 5G/6G networks, and IoT systems, with an H-index of 42. He serves as Editor-in-Chief of IEEE Vehicular Technology Magazine since July 2024 and was previously Senior Editor (2020-2024) and Associate Editor (2013-2020). A Senior Member of IEEE and Distinguished Lecturer by the IEEE Vehicular Technology Society (2024), he leads research units in projects like 5G-CARMEN, Hexa-X, and CONNECT. Department of Control and Computer Engineering, Politecnico di Torino Editor-in-Chief, IEEE Vehicular Technology Magazine (2024-present) Senior Member, IEEE Distinguished Lecturer, IEEE Vehicular Technology Society (2024) His research focuses on vehicular networks, 5G/6G systems, IoT for smart cities, and edge computing. Recent work includes digital twins for V2X communication, AI-driven network scheduling, and low-cost C-ITS solutions. He has pioneered cooperative perception systems and latency-sensitive task management in cloud-edge environments. He has received recognition as an IEEE Senior Member and Distinguished Lecturer. His editorial leadership includes roles at IEEE Vehicular Technology Magazine, and he has organized tutorials and conferences like IEEE WiMob and CCNC. Casetti has led projects such as the Turin Urban Digital Mobility working group (2018-2022), CNIT research units, and international collaborations with institutions like TU Berlin and Hasso-Plattner-Institut. His conference involvement spans chairing and program committee roles, including Technical Program Co-Chair for IEEE WiMob 2024 and General Chair for IEEE CCNC 2022.
Marco Locatelli is a Full Professor in the Department of Computer Engineering at the University of Parma, Italy. His research focuses on Global Optimization , Operations Research , and Computational Mathematics , with applications in Robotics and Optimization Algorithms . Education: Ph.D. in Computational Mathematics and Operations Research (University of Milano/Napoli, 1997); Laurea in Computer Science (University of Milano, 1992). Positions: Post-Doc (University of Trier, Firenze); Assistant/Associate Professor (University of Torino); Full Professor (University of Parma since 2010). His research spans Global Optimization over intervals, multistart algorithms, concave optimization, packing problems, and convex underestimators. Recent work includes Multi-Agent Pathfinding and Speed Planning with energy/time optimization, leveraging Machine Learning and Dynamic Programming . He has received distinguished accolades, including the Europt Fellow (2018), Best Paper in the Journal of Global Optimization (2016), and co-authored a SIAM-published book on Global Optimization (2013). He serves on editorial boards of top-tier journals like Computational Optimization and Applications and Operations Research Letters . Scientific Awards: Al Zimmermann's Programming Contest Winner (Circle Packing) AIRO Award for Daniele Depetrini's Master Thesis (2007) Chairman's Recognition of Outstanding Paper (2009 IEEE Congress) Europt Fellow (2018) His teaching includes Operations Research and Algorithms for Decision Support across multiple Italian universities (Torino, Parma, Firenze). He has contributed to Research Projects like MoSPRAS, MOST, and COSO, addressing real-world optimization challenges in healthcare, robotics, and transportation.
