Daniele Pedemonte serves as a Research Fellow in the Department of Mathematics (DIMA) at the University of Genoa, with cross-departmental expertise in the Department of Computer Science, Bioengineering, Robotics, and Systems Engineering (DIBRIS). His research centers on Numerical Analysis (Italian classification MATH-05/A), extending into Applied Mathematics and Computational Mathematics with strong interdisciplinary applications in Computer Science , Bioengineering , and Robotics . This work bridges theoretical mathematical frameworks with engineering simulations and system design methodologies. Scientific Awards No honors, fellowships, or medals are documented in the source material. Advising and Grants Information regarding graduate student supervision, research funding, or collaborative grants is not provided in available records. Research Infrastructure No laboratories, research teams, or specialized facilities are explicitly associated with his profile in the current documentation.
Manuela Chessa is an Associate Professor in Computer Science at DIBRIS (Department of Informatics, Bioengineering, Robotics, and Systems Engineering) within the Interschool Section of Mathematical, Physical, and Natural Sciences at the University of Genoa. Her research focuses on natural human-machine interfaces using virtual, augmented, and extended reality (XR) systems, with an emphasis on perceptual and cognitive aspects of immersive interaction. MSc in Bioengineering (2005) and PhD in Bioengineering (2009) from University of Genoa Her work integrates bioinspired models with modern XR technologies to address misperception issues, visual stress, and fatigue in immersive environments. She investigates the use of sensing (Kinect, RealSense, ZED) and visualization devices (HMDs, 3D monitors) to create ecological interaction systems grounded in human perception principles. Current research themes include: XR for rehabilitation and training User Experience (UX) in immersive systems 3D reconstruction techniques Self-avatar representation Change detection in virtual environments Her publications span topics like gamified coding in XR, cognitive aspects of interaction, and bioinspired VR design. She leads the Perception & Interaction Lab @ DIBRIS, supervising 4 PhD students and 1 research associate.
Michele Dassisti is a Full Professor at the Department of Mechanics, Mathematics & Management, Politecnico di Bari, specializing in advanced manufacturing technologies and systems. His research bridges Industry 4.0/5.0 paradigms with sustainability, focusing on digital twins, energy optimization, and human-centric production systems. University: Politecnico di Bari Department: Mechanics, Mathematics & Management Email: michele.dassisti@poliba.it Research Interests: Professor Dassisti’s work spans: Industry 5.0 frameworks integrating human-machine collaboration Sustainable manufacturing via lifecycle assessment and exergy analysis Digital twin methodologies for process optimization Energetic efficiency in plastic injection molding and battery systems Smart factory implementations for SMEs Advanced additive manufacturing technologies Recent Publications: His 2024-2025 work emphasizes Industry 5.0 energy systems, AI-driven manufacturing optimization, digital twin applications in PEM-electrolysis, and sustainability metrics for additive manufacturing. Earlier studies focus on magnetorheological fluids, exergy-based quality control, and flow battery sustainability. Labs & Collaborations: He is associated with LabZERO, an interdisciplinary living laboratory for renewable energy and efficiency initiatives in Apulia region.
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.
Michele Taragna is a Tenured Associate Professor in the Department of Electronics and Telecommunications (DET) at the Polytechnic University of Turin, actively teaching across degree programs: Experimental Modeling for PhD students in Electrical, Electronic and Communications Engineering (2019-2025), Estimation and System Identification for Mechatronic Engineering Master's program (2019-2026), and Automatic Control for Computer Engineering Bachelor's program (2019-2026) as course holder or collaborator. His research centers on Systems and Control Engineering , with primary interests in data-driven control for autonomous vehicles and fleets, direct virtual sensors, and machine learning-enhanced system identification. Key areas include Set Membership methods for robustness under bounded noise, computational complexity reduction in Nonlinear Model Predictive Control (NMPC), sensor fusion for robotics, and applications in automotive suspensions. This work aligns with ERC sectors PE7_1 (Control engineering), PE1_20 (Control theory), and PE6_12 (Scientific computing). Trends in his publications (2024-2004) reveal sustained innovation in applying Set Membership identification to NMPC for autonomous vehicles, achieving real-time feasibility through search domain reduction. Sensor fusion techniques using Kalman filters for mobile manipulators and data-driven filter design for uncertain LTI systems with bounded noise are recurring themes, emphasizing practical implementation and computational efficiency. Scientific awards: None documented in provided materials. Advising and research funding: Supervised PhD student Mattia Boggio (2020-2024) in Electrical, Electronic and Communications Engineering; thesis on Real-time Nonlinear Model Predictive Control with domain reduction. Led the nationally funded PRIN project Controllo ad alte prestazioni a partire dai dati sperimentali (2007-2009) as Scientific Responsible. He is a core member of the Automatica research group within DET, focusing on system identification, control design, and validation for dynamic systems with applications in automotive and robotics domains.
Francesca Ratti is a Fixed-term Researcher at the Università Vita-Salute San Raffaele , affiliated with the Department of General Surgery within the School of Medicine. Her research focuses on hepatocellular carcinoma, surgical oncology, and minimally invasive liver surgery, with a particular emphasis on prognostic modeling and clinical outcomes. Recent publications highlight her work on: Prognostic biomarkers in liver resection AI ethics in hepato-pancreato-biliary surgery Comparative effectiveness of laparoscopic vs. open surgical techniques Robotic surgery feasibility in complex anatomical regions Dynamic risk stratification models for postoperative complications Her clinical research includes collaborations on the ORANGE II PLUS trial and international multicenter studies, applying advanced statistical methods like inverse probability weighting to improve recurrence-free survival prediction. She contributes to surgical education through internship programs while maintaining active involvement in translational research and clinical trial analysis.
Andrea Fronzetti Colladon is a Professor of Business Leadership and Intelligence at Roma Tre University, where he leads the Business and Collective Intelligence Lab. His academic career bridges rigorous research with practical business applications, focusing on how connections drive value and innovation in complex organizational environments. His research interests span Network Science, Natural Language Processing, Machine Learning, Social Network Analysis, Text Mining, Brand Analytics, Change Management, and Executive Coaching . He combines methods from network science and computational linguistics with theoretical frameworks from social sciences to advance understanding of management and human behavior. His work has practical applications in brand analytics, change management, and organizational transformation. Developed the Semantic Brand Score methodology for brand performance analysis Created the OCEAN Change Management Model for organizational transformations Authored influential books including Leading Meaningful Change and Social Network Analysis and Text Mining for Big Data Collaborates with leading institutions including MIT Center for Collective Intelligence, Northeastern University, and Université du Québec à Montréal His recent publications reveal a strong trend toward integrating text mining and network analysis to solve business problems, particularly in brand management, venture capital funding, and organizational change. His work consistently demonstrates how linguistic patterns and network structures can predict business outcomes and inform strategic decisions. Among his notable recognitions is the 2020-2021 Best Paper award from the International Journal of Forecasting . His research has been published in high-impact journals and books with publishers including Edward Elgar, Springer, and Routledge. As an educator and consultant, Fronzetti Colladon develops specialized courses on Social Network Analysis, Text Mining, Change Management, Problem Solving, and Business Analytics. He has worked with major organizations including TIM, Genpact, Enel, SACE, Renault Italia, Saatchi & Saatchi, Sky Italia, and GalaxyAdvisors, translating academic insights into practical business solutions. The Business and Collective Intelligence Lab he leads serves as a hub for interdisciplinary research, bringing together computer scientists, linguists, social scientists, and business experts to decode complexity and empower decision-making through innovative methodologies.
Carlotta Mummolo is an Associate Professor at the Department of Mechanics, Mathematics & Management at Politecnico di Bari. Her research focuses on biomechanics, robotics, and motor control with applications in dynamic walking, balance stability, and aging-related locomotive decline. Current affiliation: Politecnico di Bari (Department of Mechanics, Mathematics & Management) Academic rank: Associate Professor Research areas: Biomechanics, Robotics, Human-Robot Interaction Mummolo's work addresses the characterization of human balance through computational models, soft contact effects in legged systems, and transdisciplinary studies of aging-related locomotion changes. She explores stability criteria for biped robots and develops metrics for motor task difficulty. Her recent research trends include integrating reinforcement learning with muscle control, analyzing gait stability in aging populations, and optimizing contact-dependent balance in robotic systems. Key methodologies involve analytical-stochastic modeling and state-space characterization of dynamic systems. Carlotta Mummolo's publications demonstrate interdisciplinary collaboration between robotics and human biomechanics, with implications for rehabilitation technologies and humanoid robot design.
Aldo Geuna is a Full Professor at the Department of Cultures, Politics and Society at the University of Torino and a Fellow of the Collegio Carlo Alberto. He previously served as Full Professor at the Department of Economics and Statistics Cognetti de Martiis (2008-2020) and has held academic positions at SPRU, University of Sussex (1998-2008), where he advanced from Lecturer to Senior Lecturer. His international experience includes Senior Research Fellowships at RSCAS-European University Institute and research positions at BETA-Strasbourg and MERIT-Maastricht. His educational background includes a PhD in Economics from Maastricht University (1993-1998), following Master's degrees in Technology Policy and Innovation Management from MERIT (1992-1993), Economics from University of Torino (1991-1992), and Management Engineering from Politecnico di Milano (1984-1991). Geuna's research focuses on: Economics of Science Economics of Innovation Science and Technology Policy Political Economy of Science and Technology ICT and Internet Economics Economic Growth and Development Economics His work centers on the socio-economic analysis of university research behavior and its links to innovation and economic growth. His recent publications reveal a strong emphasis on university-industry collaboration, research assessment methodologies, academic mobility, and the economic impact of technological advancements across multiple disciplines. Key recognitions include: Included in the list of Top Italian Scientists of VIA-Academy CIFAR Fellow Member of Editorial Boards for Research Policy, Journal of Technology Transfer, Italian Economic Journal, and others Geuna has coordinated numerous research projects funded by the European Commission, UK Research Councils, and Italian Ministry, including the current HPC/AI Transformative Impact on Science project. He has supervised PhD students and served on defense committees at institutions worldwide, while also advising governmental bodies and non-profit organizations across multiple countries including the OECD, National Academies (US), and EU.
Fausto Francesco Lizzio is a Fixed-term Researcher at the Department of Mechanical and Aerospace Engineering (DIMEAS) within the College of Mechanical, Aerospace and Automotive Engineering at the Polytechnic University of Turin . His work focuses on consensus protocols , distributed control , and unmanned aerial systems (UAVs) . Research Interests: Multi-agent systems, time-delay networks, robotics, and aerospace engineering. Teaching Roles: Course instructor for advanced flight dynamics and collaborator in courses on spacecraft control, flight mechanics, and aerospace simulation. His recent research explores stability-switching properties in multi-agent systems, decentralized target estimation for UAV swarms, and digital twin applications for prognostic health management. These studies intersect aerospace engineering, control theory, and networked robotics. Scientific Contributions: He has been recognized with an open badge for participating in research funding calls through the Rimini School 2025. His publications span journals like IEEE Control Systems Letters , Drones , and conference proceedings for SICE and EASN events.
Carlo Casali is an Associate Professor in the Department of Medical-Surgical Sciences and Biotechnologies at Sapienza University of Rome's Faculty of Medicine and Pharmacy. His career spans over three decades in neurology with specialized expertise in neurogenetics, mitochondrial disorders, and hereditary ataxias. He directs the Neurogenetics Outpatient Clinic and coordinates the Neurological Diseases Course at the Latina campus. His research focuses on molecular mechanisms of neurodegenerative disorders, particularly mitochondrial cardiomyopathies, Friedreich's ataxia, and hereditary spastic paraplegias. Casali pioneered the characterization of mitochondrial DNA mutations (A4300G, G8363A) and developed the hematopoietic stem cell transplant protocol for MNGIE. His current work integrates AI-driven gait analysis with exoskeleton rehabilitation for cerebellar ataxia. Casali's publication portfolio includes 118 papers (h-index 20, 1140 citations), with recent work emphasizing biomarker discovery and digital phenotyping. His research is supported by Telethon Foundation grants and national projects including the SPG4 epidemiology study. He actively collaborates with Columbia University's Neurology Department, maintaining a 30-year research partnership. As an educator, he coordinates multiple degree programs including Physiotherapy at Latina and teaches Neurology across medical and healthcare curricula. His clinical work bridges molecular diagnostics with patient-centered rehabilitation, focusing on improving functional outcomes in rare neurological disorders.
Francesco Costantino is an Associate Professor at Sapienza University of Rome, affiliated with the Department of Computer, Management, and Control Engineering. He holds a PhD in Industrial Production Engineering (2005) and has been qualified as a Full Professor since 2018. Education: PhD in Industrial Production Engineering (2005), Master's in Quality Engineering and Management (2002), BS in Mechanical Engineering (2001), all from Sapienza University. His research focuses on digital innovation in production systems , lean and Six Sigma methodologies , supply chain management , and expert systems . Recent work explores applications in space manufacturing, cybersecurity, and virtual reality training. 2025 publications highlight large language models for accident analysis, smart manufacturing maturity , and human-machine reliability . 2024 contributions include models for hybrid agricultural vehicles , adaptive automation , and cyber-socio-technical systems .
Alessandro De Luca is a Full Professor at Sapienza University of Rome, Department of Information Engineering, Electronics and Telecommunications (DIAG). He has held editorial leadership roles at IEEE Transactions on Robotics as Editor-in-Chief (2004–2008) and has been a key figure in robotics research, particularly in dynamic modeling, control systems, and physical human-robot interaction. His career spans over three decades, including leadership in the IEEE Robotics and Automation Society and contributions to international conferences. Education: PhD in Systems Engineering (1987) Academic roles: Full Professor since 2000, Associate Professor (1992–1993), Researcher (1988) Leadership: Vice-President of IEEE RAS (2012–2013), Chair of ERC Panels, and co-founder of I-RIM (Italian Robotics Institute). Research interests focus on robotics, with specific expertise in dynamic modeling, motion planning, soft robotics, kinematic redundancy, and nonlinear control. His work addresses challenges such as collision detection, feedback linearization, and haptic interfaces for augmented reality. Recent publications emphasize soft robot control under uncertainties, time-optimal trajectory planning, and mixed-reality human-robot collaboration. Scientific awards include IEEE Fellow (2007), IEEE Life Fellow (2023), the 2019 George Saridis Leadership Award, and multiple best paper recognitions. He has contributed to foundational texts like the Springer Handbook of Robotics and has coordinated national and EU projects such as SYMPLEXITY and SAPHARI.
Giuseppe Antonio Di Luna is an Associate Professor at the Dipartimento di Ingegneria Informatica, Automatica e Gestionale (DIAG), Sapienza University of Rome . His research spans critical areas of Distributed Computing, Distributed Systems , and Computer Security , with a focus on Dynamic Networks, Mobile Agents, Anonymous Communication , and NLP techniques applied to binary analysis . Current research themes include anonymity in distributed environments Security challenges in confidential computing Algorithm design for mobile robots and dynamic networks Applying NLP to enhance binary analysis security His recent publications across top venues like DSN, EuroS&P, and JPDC reflect these interdisciplinary interests, with notable work on: Black hole detection in dynamic rings Robustness of binary similarity systems Confidential virtual machine evaluation tools Self-stabilizing computation in anonymous networks He has received prestigious awards including the Axa Fellowship (2020-2022) , ASPLOS 2019 Distinguished Paper Award , and DIMVA 2019 Best Paper Runner-Up . His collaborative efforts include organizing the EuroSys 2023 conference in Rome.
Jlenia Toppi is an Associate Professor at the Department of Computer, Control and Management Engineering, Sapienza University of Rome. With a background in Biomedical Engineering (B.Sc. and M.Sc. summa cum laude from University of Rome, Ph.D. from University of Bologna), she leads research at the Neuroelectrical Imaging and BCI Laboratory, IRCCS Fondazione Santa Lucia, focusing on EEG signal processing, brain connectivity modeling, and graph theory applications in cognitive and clinical neuroscience. Education: B.Sc. Clinical Engineering (2006), M.Sc. Biomedical Engineering (2009), Ph.D. Biomedical Engineering (2013) Awards: IEEE EMBC Student Paper Finalist (2012), Young Bioingegneria Award (2012), IEEE EMBS Best Poster (2011) Her research develops advanced EEG methodologies for brain mapping and dynamic connectivity estimation , applied to disorders of consciousness, stroke rehabilitation, and social neuroscience. She pioneered hyperscanning EEG for interpersonal brain-to-brain analysis and contributed to BCI systems like RECOM and The Promotoer. Recent publications highlight her work on hybrid BCI rehabilitation , muscle synergy extraction , and multi-modal assessment of therapeutic interventions . She serves as editor for Computation and Mathematical Methods in Medicine and collaborates with international projects including Horizon 2020.
