Antonio Sgorbissa is a Full Professor at the Department of Computer Science, Bioengineering, Robotics and Systems Engineering (DIBRIS), University of Genoa. He serves as Coordinator of the PhD program in DIBRIS and holds roles in the School Council of the Polytechnic School and the Department Board. His teaching focuses on advanced topics such as Ambient Intelligence, Real-Time Operating Systems, and Social Robotics in Master's programs. Research interests span robotics, real-time systems, and immersive technologies, with recent work on quadruped robot control via VR, collaborative SLAM algorithms, and the societal impact of educational robotics. He actively contributes to interdisciplinary projects blending philosophy, culture, and technology. No scientific awards explicitly listed. His academic leadership includes coordination of PhD programs and participation in institutional committees. Teaching assignments span Computer Engineering and Robotics Engineering programs at both bachelor's and master's levels.
Antonello Giannitrapani is an Associate Professor at the Department of Information Engineering and Mathematics at the University of Siena, Italy. He is affiliated with the Systems and Control Group and focuses on research in smart grids, multi-agent systems, aerospace applications, and mobile robots. His work emphasizes distributed control, energy storage optimization, and SLAM (Simultaneous Localization and Mapping) for robotics. Giannitrapani holds a PhD and MSc in Information Engineering from the University of Siena (2004 and 2000, respectively). Research interests include: Smart grid optimization for voltage control and energy storage systems Distributed algorithms for multi-agent systems and consensus problems Aerospace control, including spacecraft guidance and rendezvous Mobile robotics with a focus on SLAM, cooperative systems, and haptic interfaces Selected projects include CIDCABIP (2018-2020), addressing data collection and predictive maintenance, and participation in initiatives like the Energy-Aware Factory of the Future (2020-2023). Teaching roles span courses in Data Analysis, Decision Analysis, and Robotics (in Italian). Key contributions include: Optimal energy storage placement in low-voltage grids A distributed asynchronous method of multipliers for nonconvex optimization Variable-horizon guidance for spacecraft docking Development of remote labs for multi-robot experiments His research integrates control theory, optimization, and robotics to address challenges in energy systems, autonomous systems, and distributed intelligence.
Chiara Leardini is a Full Professor of Business Administration at the University of Verona, Italy, leading the Department of Business Administration. She holds roles as Department Director and participates in key committees such as the Academic Senate. Her research focuses on governance mechanisms in nonprofit organizations, accountability to local communities, performance management in hospitals and public utilities, and accounting history. She collaborates with institutions like the Healthy Aging Center and ARC-Net Research Center. Her teaching spans courses in Management Control, Planning & Control, and specialized modules in healthcare and sport management. Research interests include efficiency analysis in public services, stakeholder engagement, and sustainability in healthcare and nonprofit sectors. Projects include studies on healthcare innovation, environmental sustainability, and efficiency in water utilities. Key contributions involve applying quantitative methods (e.g., DEA, TDABC) and qualitative approaches to assess organizational performance and accountability systems. Leardini’s work bridges academic research and practical applications, addressing topics like cost analysis in healthcare, health technology assessment, and community-focused governance models. She actively engages in interdisciplinary collaborations to advance healthcare management and nonprofit accountability practices.
Prof. Gian Luca Foresti is Full Professor of Computer Science at the University of Udine and Director of the Master in Intelligence and Emerging Technologies. His research spans artificial intelligence, computer vision, and cybersecurity with applications in medical imaging, industrial inspection, and aerial surveillance. Research develops novel neural architectures including capsule-enhanced models, physics-informed networks, and bio-inspired systems. Recent innovations address underwater imaging, federated medical AI, anomaly detection, and document analysis for cultural heritage preservation. Publications demonstrate leadership in multi-disciplinary applications, particularly medical imaging (MS segmentation, brain anomaly detection) and industrial automation (defect detection, quality control). Recent work shows emphasis on efficient models for edge deployment and security applications. Directs research initiatives in intelligence technologies, including drone swarm coordination for surveillance tasks and cybersecurity frameworks for containerized environments. Current projects span healthcare diagnostics, environmental monitoring, and heritage preservation.
Giulio Rossolini is an Assistant Professor (from June 2024) specializing in adversarial machine learning, computer vision, and deep learning security. Previously, he was a Postdoctoral researcher (Jan 2024) and a PhD student (Oct 2020–Mar 2024). His work focuses on enhancing the robustness of AI systems against adversarial attacks, particularly in autonomous driving and vision applications. Key research areas include adversarial defense mechanisms, dataset generation for robustness evaluation, and safety-critical AI systems. He has contributed to frameworks like CARLA-GeAR and TrainSim for systematic evaluation of deep learning models. Notable achievements include the IEEE TCCPS Early-Career Award 2023. His publications span topics such as real-time adversarial defenses, synthetic dataset development, and ethical AI considerations. Current projects emphasize bridging gaps between theoretical robustness and practical deployment in autonomous systems.
Davide Fiore is an Assistant Professor of Automatic Control at the Department of Mathematics and Applications "R. Caccioppoli", University of Naples Federico II. His research focuses on nonlinear systems and control, switched and hybrid systems, multi-agent systems, and synthetic biology. He received his Bachelor's and Master’s degrees in Automation Engineering from the University of Naples Federico II (2010 and 2013), followed by a Ph.D. in Information Technology and Electrical Engineering in 2017. His academic journey includes visiting research periods at the University of Cambridge (UK) and the University of Bristol (UK), as well as a research internship at IBM Research Ireland. From 2017 to 2019, he held a postdoctoral position at the University of Naples, focusing on stochastic multi-agent systems in synthetic biology. Since 2020, he has been a fixed-term Assistant Professor at his alma mater. His professional roles include serving as an Associate Editor for the EUCA Conference Editorial Board (2019–2022) and the IEEE CSS Conference Editorial Board (2022–present). Education: Bachelor's in Automation Engineering, University of Naples Federico II (2010) Master’s in Automation Engineering, University of Naples Federico II (2013) Ph.D. in Information Technology and Electrical Engineering, University of Naples Federico II (2017) Research Interests: Fiore’s work integrates control engineering principles with biological systems, emphasizing synthetic biology applications. Key areas include: Design of feedback control mechanisms for cell growth and microbial populations Development of whole-cell biosensors through synthetic biology and control theory Analysis of multi-agent systems, including geometric pattern formation in robotics Robust regulation of biological processes via PID and PI control strategies Advising & Grants: While no specific advisees or grants are listed, his postdoctoral and research internship experiences underscore his active role in mentoring and collaborative projects. His editorial roles reflect his contributions to academic discourse in control systems and multi-agent dynamics. Labs/Teams: His research is embedded within the Department of Mathematics and Applications’ control systems group, though specific lab affiliations are not detailed.
Riccardo Costanzi is an Assistant Professor at the University of Pisa's Department of Information Engineering. His work at the Centro di Ricerca Enrico Piaggio focuses on embedded control systems for underwater robotics, including acoustic localization and autonomous navigation. Research develops solutions for underwater sensor networks, AUV coordination, and marine environmental monitoring. Recent projects include sonar simulation tools and visual-acoustic frameworks for structural inspections. Field experiments validate systems like cooperative ASV/AUV positioning and passive acoustic barriers. Collaborations span NATO operational testing and Horizon Europe initiatives.
Giorgio Gandaglia is a Professor and Fixed-Term Researcher (Type A) at Vita-Salute San Raffaele University in Milan, Italy, holding roles since 2020. He serves as a Medical Assistant at the Urology Unit of San Raffaele Hospital since 2018 and manages the Multidisciplinary Consultation for Localized Prostate Cancer. His academic roles include coordinating the Prostate Cancer Group at Young Academic Urologists Working Parties and serving on EAU Prostate Cancer Guidelines and Robotic Urology Sections. Gandaglia holds a Medical Degree and Urology Specialty Diploma (cum laude) from Vita-Salute San Raffaele University, with fellowships in Canada and Belgium. Research & Education: His work focuses on prostate cancer, robotic surgery, and imaging-guided interventions. He leads studies funded by the Ministry of Health and Intuitive Surgical, with over 309 publications (H-index 35 as of 2020). He is an Associate Editor for European Urology Oncology and holds a National Scientific Qualification Level II in Urology. Awards & Contributions: Cosciani Cunico Award 2017 ESUI Vision Award 2019 EAU Best Paper 2019 His research emphasizes predictive models for lymph node metastasis and clinical outcomes of prostate cancer treatments. Teaching & Clinical Leadership: He teaches in the School of Urology Specialty and oversees surgical training programs. Clinically, he specializes in robotic urologic surgery and multidisciplinary prostate cancer management.
Sergio Rapuano is a Full Professor in the Department of Engineering at the University of Sannio, Italy, specializing in Instrumentation and Measurement. With approximately 270 publications including journal papers, conference proceedings, book chapters, and IEEE standards, he coordinates nationally and internationally funded research projects focused on measurement systems and signal processing. His research spans analog-to-digital conversion characterization, biomedical measurement systems, distributed measurement networks, and telecommunications instrumentation. Recent work shows a pronounced shift toward compressed sensing applications for cable diagnostics, spectrum monitoring, and biomedical signal processing, reflecting his focus on efficient data acquisition in constrained environments. He also contributes significantly to distance learning methodologies in electrical measurement education. Prof. Rapuano actively shapes the field through IEEE Technical Committee 10 (Waveform Generation, Measurement, and Analysis), where he drives standardization efforts and conference organization for the Instrumentation and Measurement Society. His leadership in waveform measurement standards and traceability frameworks demonstrates his commitment to advancing measurement science globally.
Mario Cesarelli is a Full Professor at the Department of Engineering (DING) of the Università del Sannio. He is actively involved in educational activities, including teaching Bioengineering Applied to Sport Sciences in the Sports and Health Sciences degree program. His office hours are on Tuesdays from 11:00 to 12:00 at Bosco Lucarelli Palace. Dr. Cesarelli's research focuses on Biomedical Engineering , Machine Learning , and Medical Imaging . His work spans applications in Alzheimer's disease diagnosis , diabetic retinopathy detection , lung cancer localization , and rehabilitation robotics . He has developed innovative e-textile-based wearable systems for remote health monitoring and methods for analyzing gait spatiotemporal parameters using optoelectronic systems and wearable sensors. The recent trends in his publications emphasize the use of explainable artificial intelligence (AI) in medical imaging, including convolutional neural networks for disease diagnosis, and machine learning for biomechanical risk classification. His 2024 papers highlight advancements in Alzheimer's disease detection, ocular disease diagnosis, and posture classification during weightlifting tasks. Dr. Cesarelli collaborates with institutions such as the Santobono-Pausilipon Hospital and contributes to third-mission activities like technology transfer and social impact projects. His work integrates clinical applications (e.g., home ventilation safety, rehabilitation pathways) with engineering innovations (e.g., biopotential amplifiers, microCT scanners).
Nitzan Cohen is a Professor of Product Design and Dean of the Faculty of Design and Art at the Free University of Bozen-Bolzano. He founded the Design Friction Lab (DFL), a multidisciplinary research initiative focused on sustainable innovation at the intersection of science, industry, and speculative design. His work emphasizes critical design approaches to address environmental challenges through projects like DIYR (Do-It-Yourself Revolution), bioreactors for microbial materials, and biodegradable electronics. Research interests include crafted electronics, open-source production, circular design, nano-electronics, and regenerative design. The DFL collaborates with scientists, artisans, and corporations to translate experimental concepts into real-world applications, prioritizing aesthetics and ethics in sustainable solutions. Recent articles highlight advancements in biodegradable sensors, laser-induced paper-based electronics, and microbial cellulose fabrication. Awards include recognition in international design collections, though specific prizes are not listed. Cohen teaches in the Bachelor of Design program and has advised on projects ranging from smart textiles to fermentation-based biomaterials. Labs/Teams: The Design Friction Lab (DFL) serves as a hub for interdisciplinary innovation, blending design, engineering, and biology to prototype future-oriented solutions. Current projects explore distributed manufacturing, nano-technologies, and circular production systems.
Claudio Ettore Casetti is a Full Professor in the Department of Control and Computer Engineering (DAUIN) at the Polytechnic University of Turin. He is a member of the FULL Interdepartmental Center - Future Urban Legacy Lab and serves as Scientific Advisor for partnership agreements with FiberCop and TIM. His research spans mobile and vehicular networks, telecommunications, and next-generation mobile systems. Full Professor, DAUIN, Polytechnic University of Turin Member, FULL Interdepartmental Center Scientific Advisor, FiberCop & TIM Partnerships Research Lead, NETGROUP & TNG His research interests include mobile ad hoc networks, vehicular ad hoc networks, mobile telecommunication systems, 5G/6G networking, edge-cloud continuum, and AI/ML applications in connected vehicles. He actively contributes to sustainable urban mobility and smart city technologies, aligning with SDG Goals 9 and 11. The most recent publications reflect a strong trend toward intelligent vehicular systems, leveraging AI, edge computing, and advanced networking for autonomous driving, crowd monitoring, and 6G integration. His work combines theoretical innovation with real-world deployment in urban living labs and industrial collaborations. AI/ML for Connected and Autonomous Vehicles 6G Programmable Networking Edge Intelligence and Cloud Continuum Vehicular Telemetry and Testing Privacy-Preserving Urban Sensing Resource Management in UAV Networks Claudio Casetti supervises multiple PhD students including Giuseppe Perrone, Diego Gasco, and Riccardo Rusca. He leads numerous research grants funded by the EU (Horizon 2020, Horizon Europe, PNRR), national programs (PRIN), and industry partners such as FiberCop, TIM, Intel, and Stellantis. These projects focus on digital mobility transformation, resilient CCAM, vehicular edge computing, and future telecommunications. He is actively involved in research groups NETGROUP - Computer Networks Group (DAUIN) and TNG (DET) , and contributes to the FULL (DAD) center. His leadership in initiatives like ToMove, HD-MOTION, and PREDICT-6G underscores his role in shaping future urban mobility and networked intelligent systems.
Giada Giorgi is an Assistant Professor at the Department of Information Engineering , University of Padova , Italy. Her academic profile combines Electronic Measurement research with innovative LabVIEW-based educational tools for Measurement Systems for Automation and Industrially Focused Instruments . Research Focus: Quantile-based analysis of self-similar network traffic, IEEE1451 standard implementation, and advanced measurement uncertainty modeling. Teaching Contributions: Developed virtual laboratory environments for student training in electronic measurement techniques and instrumentation. Technical Expertise: Specializes in wavelet transform applications for traffic analysis and synchronization system robustness. Academic Affiliations: Active researcher in the measurement group at the University of Padova. Her work bridges theoretical analysis with practical implementations in measurement systems, particularly addressing challenges in network traffic diagnostics and real-time monitoring . Email: giada.giorgi@dei.unipd.it | giada@dei.unipd.it
Marco Camurri is an Associate Professor at the Department of Industrial Engineering, University of Trento. His research focuses on robotics, sensor fusion, and autonomous systems with applications in legged locomotion, SLAM, and dynamic environments. He teaches courses in robotics and mechatronics. DARPA Subterranean Challenge Winner (Team CERBERUS, 2022) His work spans robotics perception, control systems, and terrain adaptation. Key projects include haptic localization, visual-inertial navigation, and GNSS-integrated SLAM. Recent publications emphasize legged robot state estimation and collaborative agricultural robotics. Marco contributes to mechatronics education through courses like Robotic Perception and Action and Electronics and Robotics , collaborating with colleagues such as Mariolino De Cecco and Alessandro Luchetti.
Arianna Menciassi is a Full Professor of Biomedical Robotics at Scuola Superiore Sant'Anna (SSSA) in Pisa, Italy, and leads the Surgical Robotics & Allied Technologies Area at the BioRobotics Institute. She serves as Vice-Rector of SSSA and Coordinator of the PhD in Biorobotics program. Her research focuses on surgical robotics, microrobotics for biomedical applications, and biomechatronic artificial organs. Notable contributions include advancements in robotic-assisted focused ultrasound therapy, smart prosthetic designs, and magnetic-based drug delivery systems. Education: Bachelor's in Physics, University of Pisa (1995) PhD from Scuola Superiore Sant'Anna (1999) Research Interests: Combining robotics with targeted therapies, wireless solutions (ultrasound/magnetic), and soft robotics for medical devices. Key innovations include adaptive prosthetic sockets, biohybrid artificial organs, and robotic platforms for endovascular interventions. Her work emphasizes clinical translation and global health applications, such as the low-cost placenta simulator developed in collaboration with Ethiopian institutions. Awards: Well-tech Award (2010s) for endoscopic capsule research Gonfalone D'Argento (2010s) as top 10 young talent in Tuscany KUKA Innovation Award (2020s) for robotic focused ultrasound advancements Advancing Technologies: Her lab develops autonomous navigation systems for endovascular procedures, AI-aided robotic platforms for ultrasound-guided surgeries, and proprioceptive catheters for safer interventions. Ongoing projects include the FUtuRo initiative integrating robotics, simulation, and augmented reality for focused ultrasound surgery. Editorial & Leadership Roles: Editor of APL Bioengineering, IEEE Transactions on Medical Robotics and Bionics, and Soft Robotics. Co-Chair of the IEEE Technical Committee on Surgical Robotics, and member of the iSMIT Steering Committee.
