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Giovanni Squillero is a Full Professor in the Department of Control and Computer Engineering (DAUIN) at Politecnico di Torino, Italy. He leads the CAD group (Electronic CAD & Reliability) and serves on Politecnico's Joint Committee for Teaching and Ph.D. Steering Committee (Pure and Applied Mathematics).
پژوهشگر
Eric Eaton is a prominent researcher in Computer Science, specializing in Artificial Intelligence, Reinforcement Learning, and Federated Learning. His work bridges theoretical advancements with practical applications in healthcare, robotics, and educational technology, as evidenced by his collaborations with institutions like the Vector Institute and co-authors such as Marcel Hussing and Amir-massoud Farahmand. Research Focus: Lifelong Learning, Object-Centric Representation, and Algorithmic Fairness Key Contributions: ELLA algorithm, Distributed Continual Learning frameworks, and AI integration in surgical video analysis His recent publications address critical challenges in high update ratio reinforcement learning, federated learning for surgical data, and ethical considerations in algorithmic fairness. These works highlight his interdisciplinary approach, combining AI with healthcare and education. Eaton's leadership in projects like FORLA and Slot-BERT demonstrates innovation in unsupervised learning and temporal coherence. His involvement in the CS2023 curriculum design underscores his commitment to advancing computer science education.
Alfredo Benso is a Full Professor in the Department of Control and Computer Science (DAUIN) at the Polytechnic University of Turin, where he is also a member of the Interdepartmental Center PolitoBIOMed Lab - Biomedical Engineering Lab. He has been continuously involved in the Doctoral College for Computer and Systems Engineering since 2008, guiding PhD education across numerous cycles. His academic roles span teaching and research leadership in bioinformatics, systems biology, and computer engineering. Research interests: Bioinformatics and computational biology Systems biology and gene regulatory networks Artificial intelligence and machine learning in biomedicine Molecular modeling and multiscale simulation Biological database systems and data integration Health informatics and public health modeling His recent publications reflect a strong trend in applying AI and machine learning to biological and medical challenges, including protein function prediction, Alzheimer’s and Multiple Sclerosis modeling, food fraud detection, and viral genome analysis. These works span journals and conferences in bioinformatics, computational biology, and biomedical engineering, demonstrating interdisciplinary innovation. Scientific Awards: BIOINFORMATICS 2014 BEST PAPER AWARD (INSTICC, United Kingdom) Advising and Grants: He supervises PhD students, including Sofia Ostellino, and leads major research initiatives such as the BIGMECH (2023–2025) and FISHUB (2016–2018) projects. He has served as Scientific Director for collaborative agreements with public administrations and as Principal Investigator on EU, national (PRIN), and regional research grants focused on bioinformatics, space systems, and reliable digital technologies. Labs and Teams: He is a key member of the SBG - System Biology Group (DAUIN) and contributes to PolitoBIOMed Lab, fostering collaborative research in biomedical engineering and computational biology.
Lorenzo Vangelista serves as Associate Professor of Telecommunications at the Department of Information Engineering, University of Padua, Italy, a position held since 2006. He teaches core courses including Internet of Things and Smart Cities, Telecommunications, and Project Management. His academic leadership includes chairing the Information Engineering Degree curriculum from 2010 to 2014. His research expertise spans Internet of Things , Smart Cities , 5G systems (with focus on machine-to-machine traffic), DVB systems , and OFDM-based communications . He is a pioneer in LoRa and LPWAN technologies, contributing to standardization bodies such as IEEE 802.11, 3GPP, ETSI, and the LoRa Alliance. His work integrates statistical signal processing , embedded systems design , and protocol development for next-generation wireless networks. With over 80 publications, his recent work explores LoRaWAN enhancements for satellite IoT, vehicular communications, and interstellar optical systems. Key innovations include golden modulation for massive IoT and machine learning applications for network optimization. His research bridges theoretical advances with real-world deployment, as seen in field tests for vehicle-to-roadside communication and underwater acoustic modems. Professor Vangelista has supervised nine PhD students (including a dual PhD with Supèlec, Paris) and numerous MSc theses. He led European projects PACIF and SWAP (a Marie Curie best practice) and regional initiatives. His entrepreneurial endeavors include founding Patavina Technologies (acquired by A2ASmartCity in 2017) and Wireless and More, developing IoT solutions like the LoRa Suite. He maintains strong industry ties with Nokia Bell Labs, RAI, and Wisycom, and collaborates with international research centers including CTTC. His standardization contributions notably include co-authoring foundational DVB-T2 papers and serving as ETSI Rapporteur for LPWAN-CSS.
Massimo Mecella serves as Full Professor at Sapienza University of Rome's Faculty of Information Engineering, Computer Science and Statistics, where he leads the Processes, Services and Software Management research group and participates in the CINI National Cyber Security Lab. His academic foundation stems from a PhD in Computer Engineering earned at Sapienza in 2002. His research expertise spans service-oriented computing, business process management, and cyber-physical systems with emphasis on service composition, process mining, and adaptive distributed architectures. Key technical domains include IoT integration, digital twin development, and security frameworks for complex software ecosystems. Recent publications (2024-2025) demonstrate a pronounced shift toward Large Language Model (LLM) integration in business processes and smart manufacturing. Dominant themes include LLM-driven process modeling, multimodal quality control systems, and digital twin implementations for energy management and production optimization. Methodological innovations focus on retrieval-augmented generation (RAG) for service discovery and fuzzy cognitive maturity assessments. His distinguished recognition includes: ICSOC 2013 Most Influential Paper Award (2003-2012 decade) 2017 Best Paper Award As research group leader, Mecella directs projects in smart manufacturing, process mining, and cyber-physical security, with funding typically sourced from EU initiatives and industry partnerships in aerospace, healthcare, and energy sectors. His team maintains active collaborations with aerospace manufacturers through the MICS SPOKE8 project and develops frameworks like SAMBA for human-in-the-loop manufacturing systems. The Processes, Services and Software Management group operates within Sapienza's engineering faculty infrastructure, utilizing specialized labs for CPS/IoT testing and digital twin simulation, with strong ties to the CINI Cyber Security Lab for security validation.
Patrizia Scandurra is an Associate Professor at the Department of Management, Information and Production Engineering, University of Bergamo, Italy. Her academic appointment in Computer Science (01/B1) spans from 2022 to 2033. She previously held roles as a researcher at the University of Bergamo (2009-2017) and postdoctoral fellow at the University of Milan (2006-2008). She earned her PhD in Computer Science (2006) and Bachelor's degree (2002) from the University of Catania. Research Focus : Software architectures and formal methods for modeling, validation, and verification of software-intensive systems. Specializations : Runtime analysis of self-adaptive, autonomous, and uncertain systems including IoT-Edge-Cloud applications, embedded systems, and system-on-chip. Collaborations : STMicroelectronics, Atego, Bialetti, and ENEA. Conference Involvement : Program/organizing committees for ICSE, ASE, ISSRE, ICSA, ECSA, SEAMS@ICSE, ABZ, SA-TTA@SAC, FAACS@ECSA. Research Projects : Model-driven development for robotics, adaptive architectures for pervasive systems, big data in smart cities, and digital twins for medical systems. Notable Contributions : Development of the ASMETA formal method community tools and frameworks for rigorous system design. She has published over 100 peer-reviewed works in international journals and conferences.
پژوهشگر ارشد
Francesco Ragusa is a Research Fellow at the University of Catania, Italy, holding an Industrial Doctorate in Computer Science (2021). He spent part of his PhD at the University of Hertfordshire, UK. His work focuses on First Person (Egocentric) Vision, including Human-Object Interaction, Industrial Applications, and Augmented Reality. He co-founded NEXT VISION s.r.l., an academic spin-off from the University of Catania since 2021. Key projects include the MECCANO dataset for industrial human-object interactions and the EGO-EXO4D initiative analyzing skilled human activity from multi-perspective views. Research interests span Computer Vision, Pattern Recognition, and Machine Learning. He contributed to seminal datasets like MECCANO and ENIGMA-51, advancing understanding of human behavior in industrial settings. His work emphasizes practical applications, such as wearable assistive systems and visual navigation solutions. Ragusa has delivered tutorials at major conferences (e.g., ICIAP, VISIGRAPP) on First Person Vision’s history, challenges, and trends. He actively promotes industrial collaborations and has secured grants including PNRR MUR (Code E63C22001940006) and EU funding under Next Generation EU. His teaching and professional activities include organizing workshops on egocentric vision for AI-driven assistants and industrial safety systems. Current research directions involve multimodal synthetic data utilization, gaze-based interaction analysis, and cross-modal fusion for human-robot collaboration.
Fabio Ravagnani is a Lecturer in the Department of Economics and Law at the University of Rome 'La Sapienza'. He teaches courses such as 'History of Economic Analysis' and 'Political Economy' (SAZ AD channel), with materials accessible via Classroom using provided codes. His research focuses on classical economic theory, particularly Sraffa's manuscripts, Walrasian equilibrium models, and the history of economic thought. His academic work critically examines topics like non-self-replacing production systems, price expectations in neo-Walrasian frameworks, and Wicksell's interpretations of capital and interest. He actively contributes to debates on classical value theory and its implications for modern economic analysis. No scientific awards or grants are explicitly mentioned. His advising activities are not detailed in the provided texts.
Sandra Dulla is a Full Professor at the Department of Energy (DENERG) of the Polytechnic of Turin . She has been actively involved in teaching at both PhD and Master's levels since at least 2019, with courses on Numerical Methods for Neutron Transport , Nuclear Fission Reactor Physics , Monte Carlo Methods , and Biomedical Applications of Radiation . Her research focuses on advanced nuclear reactor technologies, particularly Generation IV nuclear fission reactors Monte Carlo modeling and variance reduction techniques Neutron transport theory Thermonuclear fusion systems Multiphysics analysis of liquid metal-cooled reactors Recent publications highlight her work in Lead-Cooled Fast Reactors , Energy Grid Optimization , and Thermal-Hydraulic Module Development for reactor codes like FRENETIC. She has received the Best Paper/Presentation Award from the American Nuclear Society Mathematics & Computation Division (2012). Her projects include GREEN-ENERGY (2025-2027) ENDURANCE (2024-2028) GREaT-PIONEeR (2020-2023) Studi di core physics (2023-2026) for commercial research Professor Dulla supervises PhD students such as George Afful , Massimo Quarta , Christian Vita , and Alex Aimetta , with thesis topics spanning Multiphysics Modeling of Fusion Machines and Monte Carlo Decommissioning Applications . She leads the NEMO Research Group within DENERG.
Vincenzo Deufemia is a Full Professor at the Department of Computer Science of the University of Salerno . His work focuses on cybersecurity, IoT security, data analytics, machine learning, and end-user development in smart environments. He has been actively involved in interdisciplinary research spanning database systems, human-computer interaction, and ethical AI applications. Key research interests include: Automation rule security and coherence Unsupervised learning for IoT interference detection End-user customization of smart systems Functional dependency discovery in data streams Social media analysis for geopolitical perception studies Recent work has explored leveraging generative AI for ethical phishing defense mechanisms and developing tools like EFESTO-5W for non-expert security rule specification. His contributions also include visualization frameworks for dependency analysis and spatial integrity constraints verification. No formal awards are explicitly listed in the provided material, though his extensive publication record indicates significant contributions. His research has practical applications in both academic and industrial contexts, particularly in improving end-user security awareness and system usability in smart environments.
Prof. Andrea D'Ambrogio is an Associate Professor of Software and Systems Engineering at the Department of Enterprise Engineering, University of Roma 'Tor Vergata' (Italy). He previously held roles such as Assistant Professor of Computer Science and Research Associate at the same university, and contributed to projects in Europe and internationally. His research focuses on software/systems performance, model-driven engineering, business process management, and distributed simulation. He has led over 20 international conferences and initiated workshops like CoMetS and Mod4Sim. He currently serves as President of the Society for Modeling & Simulation International (SCS), and is a member of IEEE, ACM, and INCOSE. Research Contributions: Prof. D'Ambrogio has authored over 150 publications in journals and conferences. His work emphasizes simulation engineering processes, MSaaS (Modeling & Simulation as a Service), and the integration of IoT with business processes. Recent studies address distributed simulation interoperability, pandemic impact analysis on healthcare systems, and low-code simulation frameworks. Leadership & Editorial Roles: He has served as General Chair for major events like SpringSim'19 and SummerSim'18. He is an Associate Editor of the SIMULATION journal and editorial board member of IAENG International Journal of Computer Science. His leadership in SCS advances global standards in modeling and simulation practices. Teaching: Teaches courses such as Service-Oriented Software Engineering, Software Systems, and Internet-Based Distributed Simulation. His academic contributions span both theoretical advancements and practical applications in enterprise systems engineering.
Carolina Introini is affiliated with the Nuclear Reactors Group (NRGroup) at Politecnico di Milano as a Researcher. Her R&D activities span from 2017 to the present, focusing on nuclear fuel modelling and simulation, fuel performance codes, and Generation IV reactors. She holds a PhD in Nuclear Engineering (2022) and an MSc in a related field (2018). Her PhD thesis explored 'Advancements in modelling the thermal-mechanical behaviour of MOX-fuelled pins and application to liquid-metal fast reactor conditions,' while her MSc thesis addressed preliminary design aspects of molten salt fast reactor systems. Her work emphasizes code validation and benchmarking for advanced reactor technologies. Collaborations include projects with Davide Pizzocri and Andrea Di Ronco. No specific grants, awards, or advised students are listed in the provided text.
استادیار
Anna Vizziello serves as Assistant Professor at the Department of Industrial and Information Engineering, University of Pavia, specializing in intra-body networks, 5G radio technologies, and cognitive radio systems. Selected as an EU Commission expert since 2013, she actively referees research proposals and contributes to global telecommunications standards through IEEE committees. Her educational foundation includes a Laurea in Electronic Engineering and Ph.D. in Electronics and Computer Science, both from the University of Pavia. International research experience spans Northeastern University (2023, 2016, 2011), Georgia Tech's Broadband Wireless Lab (2009-2010), and UPC Barcelona (2009-2010), building on earlier work at EUCENTRE on emergency communications. Dr. Vizziello's research program bridges theoretical innovation with practical implementation. Her intra-body communication testbed—requiring only two PCs, a cable, and electrodes—enables accessible experimentation in neural interfaces and implantable devices. In 5G/mmWave systems, she pioneered Kalman-based hybrid precoding techniques that optimize spectral efficiency while reducing hardware complexity. Current investigations integrate neuromorphic computing with wireless networks to achieve unprecedented energy efficiency in biomedical telemetry. Recent publications reveal converging trends across biomedical wireless systems (galvanic coupling for EMG transmission), AI-enhanced communications (spiking neural networks for data compression), and environment-aware networking (weather-impacted LoRaWAN forecasting). These works demonstrate her signature approach: solving real-world constraints through cross-disciplinary innovation. Her recognition includes: N2Women Rising Star in Networking (2018) ACM NanoCom Best Paper Award (2021) Top-Cited Internet Technology Letters Paper (2019-2020) Outstanding Research Visitor at Northeastern University (2015-2016) As N2Women Award Co-chair (2021) and TPC member for 40+ conferences (IEEE ICC, GLOBECOM), she actively shapes the field. Her IEEE senior membership spans WIE and Green Communications committees, while tutorial invitations (IEEE MELECON, LATINCOM, CCNC) highlight her thought leadership in intra-body networks. Though specific grants aren't detailed, her extensive conference leadership and award record indicate substantial research funding. Collaborative frameworks include Northeastern University's GENESYS Laboratory and Georgia Tech's Broadband Wireless Networking Lab, where she develops open-source testbeds shared via IEEE and Code Ocean. Future work targets neural communication interfaces and beyond-6G satellite-terrestrial integration.
دانشیار
Antonio Froio is an Associate Professor at the Department of Energy (DENERG) at Politecnico di Torino. His academic career focuses on Industrial and Information Engineering (Area 0009), particularly in Nuclear Power Plants (IIND-07/D). He is an active member of the American Nuclear Society (2021-), Nuclear and Reason Committee (2021-), and Italian Nuclear Association (2020-). Research Interests: Antonio's work centers on breeding blankets , controlled thermonuclear fusion , and thermal-hydraulic analysis . He applies computational engineering (ERC PE8_4) to advance affordable and clean energy (SDG 7). His research includes Design of tritium extraction systems CFD co-simulation for nuclear plants Multiphysics modeling of fusion reactors Uncertainty quantification in nuclear data Recent Publications: His academic output spans thermal-hydraulic assessments, limiter system designs, and computational tools for fusion reactors. Notable contributions include work on EU DEMO systems, PbLi loops, and transient accident simulations. Scientific Awards: Effective member - American Nuclear Society (2021-) Effective member - Nuclear and Reason Committee (2021-) Effective member - Italian Nuclear Association (2020-) Teaching and Supervision: Antonio teaches Computational heat and mass transfer , Monte Carlo methods , and Nuclear fusion reactor engineering courses. He supervises PhD students in the NEMO Research Group including Mauro Spro', Antonio Zurzolo, Marco Caravello, Fabrizio Lisanti, and Alex Aimetta.
Massimiliano Di Penta is an Ordinary Professor in the Department of Engineering (DING) at the University of Sannio . His research focuses on Software Engineering , Code Obfuscation , Software Security , and Empirical Software Engineering , with a strong emphasis on Open-Source Systems and Machine Learning in Software Development .
