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Luca Iocchi is a Full Professor at Sapienza University of Rome, where he teaches in the Master in Artificial Intelligence and Robotics program. He is affiliated with the Department of Computer, Control, and Management Engineering and the Faculty of Engineering of Information, Computer Science and Statistics. Iocchi serves as an Associate Editor for Artificial Intelligence Journal and has been the scientific coordinator of Spoke of PNRR project FAIR (Future AI Research). His educational background includes: Master in Engineering in Computer Science (Laurea in Ingegneria Informatica) cum Laude, Sapienza Università di Roma, 1995 PhD in Engineering in Computer Science (Dottorato in Ingegneria Informatica), Sapienza Università di Roma, 1999 Professor Iocchi's research focuses on cognitive robotics, task planning, multi-robot coordination, robot perception, robot learning, human-robot interaction, and social robotics. His work has significant applications in security, surveillance, and environmental monitoring. He has published over 200 referred papers with an h-index of 46 (Google Scholar). His research bridges theoretical AI with practical robotic systems operating in real-world environments, with a particular emphasis on developing intelligent systems that can interact effectively with humans. His recent publications show a strong trend toward multi-agent reinforcement learning, trust modeling in human-AI teams, UAV coordination, and planning systems. There's a clear focus on making robotic systems more reliable, efficient, and capable of operating in complex real-world scenarios like healthcare facilities and smart cities. His work increasingly integrates formal planning approaches with machine learning techniques. Professor Iocchi has received numerous scientific awards: 1999 Top Paper Award WebNet'99 2006 Best Paper Award RoboCup 2006 2008 Best Robotics Demo Award AAMAS 2008 2014 Best Paper Award For Engineering Contribution RoboCup 2014 2017 RoboCup@Home SSPL 2017 - 3rd place 2018 Canada-Italy Innovation Award 2019 Best Paper Award For Engineering Contribution RoboCup 2019 As an academic advisor, Iocchi has directed the PhD Program in Engineering in Computer Science from 2020 to 2023. He has been Principal Investigator for numerous research projects including SciRoc (European Robotics League), AI4EU (European AI project), BUBBLES, AIPlan4EU, ROSITA, Trust Your Agents, and FAIR. His research has been supported by EU H2020 programs, national grants, and industry collaborations, demonstrating strong connections between academia and practical applications. Professor Iocchi is actively involved with the Cognitive Cooperating Robots Lab (LabRoCoCo) and is a key member of the RoboCup Federation, having served as Vice-President from 2019 to 2024. He has played a significant role in benchmarking domestic service robots through RoboCup@Home and the European Robotics League Service Robots (ERL-SR), which he helped establish. His leadership in organizing international scientific robot competitions has been instrumental in advancing the field of service robotics.

• Cognitive Robotics
• Task Planning
• Multi-Robot Coordination
• +6 more

Chiara MIO is a Full Professor at the Department of Management, Venice School of Management, Ca' Foscari University of Venice. She holds a prominent academic and leadership role, serving as Director of the Sustainability Laboratory and Director of the Master's Degree in Sustainability (MA.So.). She is also a member of the teaching staff in the PhD program in Science and Management of Climate Change at the same university. Her research focuses on sustainability, corporate governance, integrated reporting, social and environmental accountability, management control systems, and performance measurement in both private and public sectors. She has led multiple master's programs and served on university committees related to teaching and sustainability. Prof. MIO is highly engaged internationally, having served as Chair of the ESG Reporting Task Force at Accountancy Europe and currently serving on the IFAC Board and EFRAG Sustainability Reporting TEG. She has also contributed to European Commission expert groups and sustainability policy development. She has received significant recognition, including the Premio Donna di Eccellenza from AIDDA Friuli Venezia Giulia in 2017. Corporate Reporting Sustainability and Climate Change Management Integrated and Social Reporting Management Control Systems Performance Measurement Corporate Governance Her professional experience is extensive, including board memberships in major Italian companies such as Banco BPM, OVS, Aquafil, and Sofidel. She previously served as President of Crédit Agricole FriulAdria and held advisory roles in sustainability for Benetton Group and Atlantia. She has also held public office as an Assessor in Pordenone and contributed to national and regional sustainability policy. She is actively involved in editorial and scientific committees of journals such as Corporate Social Responsibility and Environmental Management , Social and Environmental Accountability Journal , and International Journal of Environmental Protection and Policy , and is affiliated with academic associations including AIDEA, AAA, and SIDREA.

• Sustainability
• Corporate Governance
• Corporate Reporting
• +11 more

Dr. Gianluca Demartini is a leading researcher in Human-in-the-loop AI Systems with significant contributions to Crowdsourcing , Information Retrieval , and Generative AI applications. His work bridges Machine Learning and Human-Computer Interaction , focusing on Bias Management , Fact-Checking , and Ethical AI . Major Affiliations : L3S Research Center, ScienceWISE platform, and collaborations with institutions like University of Queensland and University of Padua Over 15 years, his research has explored Crowdsourcing Quality Control (Mechanical Cheat 2012), Entity Ranking (2008-2013), and Semantic Search . Recent work (2024-2026) focuses on Generative AI Impacts in domains like Media Literacy , Data Curation , and Visual Analytics . Scientific Recognition : Best Paper Award (Top 1.4%) at ICTIR 2023 Best Short Paper Award (Top 0.6%) at ECIR 2020 Honorable Mention (Top 2%) at CSCW 2020 Best Demo Award at ISWC 2011 3rd Best Paper at LA-WEB 2008 His 15 most recent publications (2024-2026) demonstrate expertise in LLM-based Content Moderation , Immersive Data Visualization , and Trustworthy AI Systems . He has pioneered methods for Bias Detection in Wikipedia (2013), Entity Ranking (2008-2013), and Human-AI Collaboration frameworks. His work consistently addresses ethical challenges in AI for Social Good and Responsible Data Science .

• Information Retrieval
• Crowdsourcing
• Human-in-the-loop AI
• +5 more

Nicola Capodieci is an Associate Professor at the Department of Physical, Computer and Mathematical Sciences at the University of Modena and Reggio Emilia, specializing in Information Processing Systems (IINF-05/A). He actively teaches multiple courses including Object-Oriented Programming, Web Technologies, and General Computer Science across Computer Science and Mathematics degree programs. His research interests focus on GPU acceleration for embedded systems, autonomous vehicles, and real-time computing. Dr. Capodieci's work addresses critical challenges in heterogeneous computing platforms, particularly for automotive applications and smart city infrastructure. His research bridges theoretical computer science with practical applications in autonomous driving and urban mobility systems. Analysis of his recent publications reveals a strong focus on optimizing GPU performance for latency-sensitive applications, particularly in autonomous vehicles. His work spans path planning algorithms, memory interference management, and real-time scheduling on heterogeneous platforms. A significant portion of his research addresses practical implementation challenges in embedded systems where computational resources are constrained but timing predictability is critical. Dr. Capodieci's teaching portfolio demonstrates expertise in both foundational programming concepts and advanced topics in web technologies. His courses emphasize practical implementation skills while covering theoretical foundations of object-oriented programming, web development frameworks, and computational thinking.

• GPU Acceleration
• Embedded Systems
• Autonomous Vehicles
• +6 more

Leonardo Becchetti is a Full Professor at the University of Rome Tor Vergata's Department of Economics and Finance, teaching Microeconomics and Topics in Applied Economics for the 2025-2026 academic year. Based in room P2 S55, he maintains an active research profile with email contact becchetti@economia.uniroma2.it. His research centers on Corporate Finance, Corporate Social Responsibility, and Happiness Economics, extending to Sustainable Development and Ecological Transition. He investigates how economic structures influence well-being through relational goods, generativity, and sustainability frameworks, employing game-theoretic and empirical methodologies to analyze climate action, AI impacts, and cooperative behavior. Analysis of his 2024-2025 publications reveals intensifying focus on ecological transition mechanisms, including renewable energy communities, circular economy governance, and sustainable investment models. His work increasingly integrates climate economics with behavioral insights, examining conditional cooperation in environmental actions and AI's disruption of labor markets. No scientific awards or student advising information is publicly documented. He participates in departmental research initiatives including DEF Seminars and ROBO Seminars, contributing to the university's research centers on economic and social impact.

• Corporate Finance
• Corporate Social Responsibility
• Happiness Economics
• +3 more

Marco Ghislieri is an Assistant Professor at the Department of Electronics and Telecommunications (DET) of Politecnico di Torino, Italy. He is a member of the Interdepartmental Center PolitoBIOMed Lab and teaches in the Biomedical Engineering program, including courses like Neuroengineering and Design of Programmable Biomedical Devices . His research spans Artificial Intelligence, Biomedical Signal Processing, Neuroscience, and Rehabilitation Engineering . PhD in Bioengineering and Medical-Surgical Sciences (2017-2021) at Politecnico di Torino Thesis: Muscle Synergy Assessment during Cyclic and Non-Cyclic Movements His research focuses on muscle synergy analysis in Parkinson’s Disease (PD) patients post- Deep Brain Stimulation (DBS) , AI-driven gait analysis for fall prevention, and wearable sensor applications for stress-cognitive decline monitoring. He leads the S-CoDe and OMNIA-PARK projects, and contributes to PRIN as a team member. Recent publications highlight advancements in machine learning for intraoperative DBS targeting , statistical gait analysis , and neurorehabilitation tools . He serves as Associate Editor for Scientific Reports and Applied Bionics and Biomechanics , and Guest Editor for Frontiers in Neural Circuits . Awards include the Carlo J. De Luca Award (2022) , GNB Doctoral Award (2022) , and the Best Poster Award at M. Grattarola Summer School (2022) . He supervises Fabrizio Sciscenti (PhD candidate) and collaborates on neuroengineering and biomedical device design courses. His work addresses Goal 3 (Good Health) and Goal 4 (Quality Education) of the UN SDGs.

• Artificial intelligence
• Biomedical signal processing
• Human movement analysis
• +12 more

Sergio Cavalieri is currently Rector of the University of Bergamo and a Full Professor of Operations Management within the Department of Management, Information and Production Engineering. His academic career focuses on innovation in management processes across industrial and service companies, with emphasis on digital transformation and sustainable business models. His research interests span Operations Management, Industrial Systems, and Servitization, with particular expertise in Product-Service Systems, Maintenance Management, and Digital Manufacturing. Cavalieri has pioneered work in Industrial Agile Working, 5G applications in manufacturing, and sustainability-oriented business models, especially within the steel sector. His research bridges theoretical frameworks with practical applications, addressing real-world challenges in manufacturing transformation. His publication record demonstrates consistent output in high-impact journals, with a clear trend toward integrating digital technologies with sustainable business practices. Recent work focuses on leveraging NLP for maintenance optimization, developing maturity models for agile working environments, and creating assessment tools for sustainable servitization in heavy industries. Cavalieri holds significant leadership roles including President of the U4I Foundation (University for Innovation), past President of AIDI (Association of Professors of Industrial Mechanical Plants), and Coordinator of the innovation table for the manufacturing industry of the 2021-2027 National Research Plan. He also directs the MeGMI Master's Program (Master in Industrial Asset and Maintenance Management). As an academic leader, Cavalieri serves on international scientific associations including IFAC-TC 5.1 on Advanced Manufacturing Technology and IFIP WG 5.7 on Advances in Production Management Systems. His work bridges academic research with industrial application through numerous collaborative projects focusing on digital transformation in manufacturing. His research activities are organized around several key initiatives including the MeGMI Master's Program and collaborations with industrial partners focused on implementing digital technologies in production environments. Cavalieri's work emphasizes the human-technology integration necessary for successful Industry 4.0 adoption.

• Operations Management
• Industrial Systems
• Servitization
• +5 more

Cristian Secchi is a Full Professor in the Department of Engineering Sciences and Methods at the University of Modena and Reggio Emilia. His research focuses on robotics, control systems, and human-robot collaboration with an emphasis on safety, automation, and industrial applications. He teaches courses such as Industrial and Collaborative Robotics and Control of Robotic Systems. Research Interests: Design and implementation of control architectures for collaborative robots. Development of safe human-robot interaction frameworks compliant with ISO/TS 15066 standards. Integration of AI (e.g., large language models) into robotic motion planning. Autonomous systems for urban environments and surgical robotics. Publications highlight advancements in: Energy-efficient trajectory planning. Adaptive control strategies for uncertain environments. Multimodal human-robot communication. Diagnosis of mechanical systems via signal analysis. He leads the ARSControl research group and actively contributes to evolving production systems through smart modular technologies. His work bridges theoretical control frameworks with practical industrial and medical applications.

• Robotics
• Control Systems
• Human-Robot Interaction
• +3 more

Marcella Menegale is an Associate Professor in the Department of Comparative Linguistic and Cultural Studies at Ca' Foscari University of Venice. She is affiliated with the Research Institute for Digital and Cultural Heritage. Her teaching responsibilities include courses on instructional design for language education, theories of language education, and multilingualism, across various degree programs such as Master’s in Languages and Civilizations, and Language Sciences. Her research focuses on multilingual education frameworks (CLIL, intercomprehension), learner autonomy, digital tools in language learning, and well-being in educational contexts. She has contributed to EU-funded projects like DigLit (combating social inequalities via digital tools) and EVAL-IC (evaluating intercomprehension skills). She has also served as an expert evaluator for the European Commission’s Horizon 2020 and ANVUR’s research evaluations. Key research areas include CLIL methodology, learner autonomy development, and the integration of technology in language pedagogy. She collaborates with international teams on projects like Transition from Secondary School CLIL to University EMI (funded by the British Council). Her work bridges theory and practice, addressing challenges in second-language teaching and digital-age curricula.

• Language Education
• Multilingualism
• Learner Autonomy
• +7 more

Claudio Sassanelli is Assistant Professor of Industrial Mechanical Plants (ING-IND/17) at the Polytechnic University of Bari, Italy, within the Department of Mechanics, Mathematics & Management. His recent scholarly output focuses on the intersection of circular economy, digital transformation and sustainable manufacturing. Research interests revolve around: Circular Economy performance measurement and rebound-effect mitigation Industry 4.0/5.0 technologies (digital twins, IoT, CPS) for servitized manufacturing Green finance instruments supporting eco-innovation in SMEs Technology-enhanced educational frameworks for sustainability upskilling Across 2023-2025 his publications exhibit a clear trend: systematic literature reviews are used to identify gaps, followed by the proposal of maturity models, readiness frameworks and competency maps that guide companies and policy makers toward data-driven, human-centric and environmentally sound industrial systems. Scientific awards & recognitions: none mentioned in the supplied material. Advising & Grants: no supervised students or funded projects are listed in the source. Labs & Teams: no dedicated laboratory or research group description is provided.

• Circular Economy
• Industry 4.0 / 5.0
• Digital Servitization
• +5 more

Andrea Cristofaro is an Associate Professor at the Department of Computer, Control and Management Engineering, Sapienza University of Rome. He holds an M.Sc. in Mathematics (2005) from Sapienza University of Rome and a Ph.D. in Information Science and Complex Systems (2010) from the University of Camerino. His academic trajectory includes postdoctoral positions at INRIA Rhône-Alpes (France) and the Norwegian University of Science and Technology, followed by faculty appointments at the University of Camerino and University of Oslo before joining Sapienza in 2019. His research spans: Robotic systems : Fault-tolerant control, multi-agent coordination, and hybrid dynamics Distributed parameter systems : Stability analysis, observer design, and optimal control of PDEs Hybrid systems : Control synthesis for systems with state-driven jumps and switching logic Recent publications (2024-2025) predominantly explore fault-tolerant control architectures for multi-robot systems, decentralized task allocation, adaptive observer designs for biological and thermal systems, and optimal control of reaction-diffusion equations. This reflects a consistent focus on robustness in complex dynamical systems with applications ranging from industrial robotics to biomedical engineering. He serves as Associate Editor for Automatica and IEEE Transactions on Control Systems Technology , and is a member of the IEEE CSS Conference Editorial Board.

• Robotic Systems
• Multi-Agent Systems
• Hybrid Systems
• +4 more

Vincenzo Della Mea is an Associate Professor of Information Processing Systems at the University of Udine's Department of Mathematical, Computer and Physical Sciences. His research focuses on medical informatics, digital pathology, biomedical ontologies, and AI applications in healthcare. He holds abilitation to full professorship and is a member of the WHO Italian Collaborating Centre for International Classifications (WHO-FIC), ICHI Task Force, and ESDIP's Executive Board. He leads the EU MSCA Doctoral Network BosomShield (2022-2026) and previously managed the AIDPATH Marie Curie project. As an editor for journals like Digital Health and Journal of Pathology Informatics , he bridges academia and practice. Beyond academia, he is a poet with awards, including the Nelle terre dei Pallavicino Prize for his 2004 collection Algoritmi , and organizes interdisciplinary events merging science and literature. Education & Roles : Holds a professorship in Computer Science and teaches courses on web technologies, medical informatics, and AI across multiple degree programs. Previously served as Vice-President of SIBIM (Italian Biomedical Informatics Society). Research Interests : Specializes in digital pathology, medical AI, telemedicine, and standardization of health classifications like ICD-11 and ICF. His work emphasizes ontology harmonization and machine learning for clinical decision support. Recent Contributions : Published on WHO classification harmonization, AI-driven pathology tools, and energy-sector LLM applications. Active in editorial roles and international collaborations, including the HEROHE Challenge for breast cancer analysis. Awards & Recognition : 2023 – Poetry collection Clone 2.0 (neurally generated) 2005 – Nelle terre dei Pallavicino Award Grants & Projects : Led EU-funded projects (AIDPATH, BosomShield) and contributed to initiatives like the ICD-11 Mortality Coding System. Collaborates with institutions like AcegasApsAmga on AI for utilities. Labs & Initiatives : Involved in digital pathology workflow optimization and educational platforms for medical coding and AI ethics.

• Medical Informatics
• Digital Pathology
• Biomedical Ontologies
• +3 more

Paolo Buono is Associate Professor at the Department of Computer Science, University of Bari Aldo Moro, Italy. He holds a PhD in Computer Science with specialization in Visual Data Analysis. His research focuses on Information Visualization, Visual Analytics, Human-Computer Interaction, and Mobile Applications. Co-founder and CEO of LARE (2010), a university spinoff providing real-time surgical support through audio-video telestration Member (since 2002) and computer science coordinator at METEA Research Center for environmental protection Visiting scientist at AVIZ (France), University of Maryland (USA), and Fraunhofer IPSI (Germany) His work spans multiple application domains including: Cultural Heritage through interactive exploration systems Healthcare with smart therapeutic devices Environmental Monitoring via CET system IoT-based Smart Interactive Experiences He has contributed to: Dynamic hypergraph visualization techniques End-User Development frameworks (EUDroid) Usability evaluation methodologies Mobile health applications As project leader, he has coordinated: EU-funded VisMaster Coordination Action (2008-2010) Italian Ministry-funded LOGIN project (2014-2015) Apulia Region environmental projects His professional engagements include: Co-chair roles at INTERACT, AVI, IS-EUD conferences Program committee participation in VIS series and HCI conferences Member of ACM, IEEE, and SIGCHI Italy

• Information Visualization
• Visual Analytics
• Human-Computer Interaction
• +8 more

Maria Letizia Marchegiani is an Assistant Professor at the University of Parma , affiliated with the Department of Engineering and Architecture . Previously, she held academic positions at Aalborg University (2019) and Oxford Robotics Institute (2014-2018). Education: PhD in Computer Science and Engineering from Sapienza - University of Rome , MSc/BEng in Computer Engineering Her research interests span signal processing , machine learning , and their applications to robotics , autonomous systems , intelligent transportation , and intelligent healthcare . She explores intersections between auditory perception , cognitive modeling , and energy-efficient wearable systems . Recent publications demonstrate expertise in acoustic event localization , ML-SDWSN architectures , thermal camera integration for vehicles, and privacy-preserving wearable systems . Her work addresses challenges in network reliability , urban soundscapes , and human-robot collaboration .

• Signal Processing
• Machine Learning
• Robotics
• +9 more

Carlo Alberto Avizzano serves as Associate Professor in Robotics and Automation at the University of Pisa's School of Engineering, Department of Information Engineering. He coordinates the Department of Excellence in Robotics & Artificial Intelligence (MUR) and leads the Intelligent Automation System Research Group. Research spans robotics, human-robot interaction, computer vision, and control systems Specializes in creating intelligent automation systems with cognitive capabilities Integrates AI, machine learning, and mechatronics for robust autonomous systems His research focuses on developing robots that learn from human examples, adapt to changing environments, and interact through advanced perception systems. Current work emphasizes wearable robotics, UAVs, and industrial automation solutions with applications in medical rehabilitation, firefighting, and manufacturing. He employs distributed computing architectures integrating sensors, real-time control, and knowledge transfer algorithms. Publications reveal strong emphasis on practical implementations: 15 recent works cover exoskeleton design (2024), UAV firefighting systems (2024), industrial bin-picking datasets (2024), and haptic interfaces (2012-2023). Key trends show progression from virtual reality systems (2006-2008) toward modern AI-integrated robotics with industrial and medical applications. Teaching responsibilities include PhD courses in Sensors for Construction, Python Programming for HealthScience, and Digital Perception; plus undergraduate Mechatronics and Computer Vision labs. He serves on PhD boards for Emerging Digital Technologies and Health Science Technology. Extensive patent portfolio including haptic interfaces (2012), sailing simulators (2006), and UAV systems (2024) Research directly translated to commercial products and spin-off companies

• Robotics and Automation
• Human-Robot Interaction
• Computer Vision
• +6 more