Giacomo Chiesa is a Full Professor at the Department of Architecture and Design (DAD) at Politecnico di Torino. He is a member of the Interdepartmental Center Ec-L - Energy Center Lab. His research focuses on Architectural Technology , Bioclimatic Design , Building Performance , and Urban Climate . Research Interests : Building Simulation, Passive Cooling, Smart Buildings, Digital Twin, Climate Change Adaptation Recent publications analyze urban weather datasets for energy simulations, shading control thresholds , and ventilation strategies in educational buildings. His work covers energy renovation roadmaps , thermal comfort , and climate-resilient building systems . Teaching : PhD courses in Human-Centric Methodologies and MSc courses in ICT in Building Design Research Leadership : Scientific Director for projects like Urban Generation and Prelude , EU-funded initiatives
Andrea Appolloni is an Associate Professor at the Department of Management and Law, University of Rome Tor Vergata. His academic career focuses on Management with emphasis on Sustainable Supply Chain Management , Digital Transformation , and Circular Economy . His research explores the intersection of technological innovation and sustainability, particularly through topics like AI in Logistics , Green Procurement , and Policy Optimization . Publications span both theoretical frameworks and empirical studies in China, Italy, and Malaysia, with a strong focus on environmental impact and organizational performance. Recent work includes digital twin applications for human-AI collaboration, blockchain integration in sustainable supply chains, and analyzing barriers to circular economy adoption. His 15 most recent articles (2025-2022) demonstrate a trend toward combining Artificial Intelligence , Operations Management , and Environmental Governance .
Roberto Giorgi is an Associate Professor of Computer Engineering at the Department of Information Engineering, University of Siena, Italy. He has held this position since October 1, 2006, following his tenure as an Assistant Professor since March 15, 1999. His educational background includes a Ph.D. in Computer Engineering from the University of Pisa (1999) with a thesis on coherence protocols for shared-memory multiprocessors, and an Electronic Engineering degree (1995) with a thesis on trace-driven performance evaluation of multiprocessors. Giorgi's primary research focuses on Computer Architecture , particularly on multiprocessor/multicore issues including processor design, coherence protocols, programmability, and energy efficiency. His work spans both theoretical and practical aspects of computer architecture, with emphasis on real-world implementations and educational tools. He has coordinated significant EU-funded projects including AXIOM (2014-2018) on Smart Cyber-Physical Systems and TERAFLUX (2009-2014) on Many-Cores. His recent publications (2022-2025) demonstrate a strong progression toward practical applications of computer architecture research, with particular emphasis on RISC-V architecture, FPGA-based acceleration, dataflow computing models (especially DF-Threads), and graph processing. Many of his papers address educational tools for computer architecture education, real-time object detection on embedded platforms, and novel execution paradigms for edge computing and HPC. IEEE Senior Member ACM Lifetime Member Coordinator of EU-funded AXIOM project (2014-2018) on Smart Cyber-Physical Systems Coordinator of EU-funded TERAFLUX project (2009-2014) on Many-Cores Giorgi has been actively involved in securing research funding and building collaborations, particularly in high-performance computer architecture research with emphasis on scalable architectures and embedded systems. He leads the Computer Architecture Lab (ROOM 223) at the University of Siena, which was established in 2007, and has been instrumental in developing practical implementations of architectural concepts including the AXIOM platform for cyber-physical systems.
Cristiana Bolchini is a Professor at the Department of Electronics, Information and Bioengineering (DEIB) at Politecnico di Milano. She holds a PhD in Automation and Computer Science Engineering (1997) and a Laurea in Electronic Engineering (1993), both from Politecnico di Milano. Her research focuses on dependable systems, fault tolerance, and embedded systems design, with recent work on ICT solutions for smart buildings and energy efficiency. She coordinates projects such as the FP7 SAVE initiative and serves on technical committees for conferences like DATE and DAC. Education: PhD in Automation & Computer Science (1997), Laurea in Electronic Engineering (1993), both from Politecnico di Milano. Research interests span dependability (fault modeling, diagnosis), heterogeneous architectures, and sustainable smart environments. She collaborates with Prof. Giuliana Iannaccone on foresight for sustainable built environments and has led EU-funded projects like the SAVE initiative. Publications include over 150 refereed papers on dependability and context-awareness. She holds editorial roles for journals such as IEEE Transactions on Computer-Aided Design and ACM Transactions on Embedded Computing Systems. Awards include IEEE Senior Member status and two Cisco University Research Program Fund gifts (2012, 2014). Academic roles include Rector’s delegate for Southeast Asia relations and leadership of Technology Foresight workgroups. She teaches courses on computer science fundamentals and dependable systems, emphasizing problem-solving and programming in Python and C.
Emanuele Crisostomi is Associate Professor of Electrical Systems at the University of Pisa's Department of Energy, Systems, Territory and Constructions Engineering. He holds PhD and graduate degrees in Automation Engineering from the University of Pisa, with research visits to University of Cambridge, University of Leicester, and Hamilton Institute. His research bridges control theory, energy systems, and smart mobility. His research integrates: Smart grid control and renewable energy integration Electric vehicle charging infrastructure and routing algorithms Urban traffic modeling and optimization Nonlinear system dynamics and Lyapunov stabilization Machine learning applications in energy systems Crisostomi's publications demonstrate consistent innovation in electric vehicle-grid integration, with recent focus on predictive charging control, highway EV circulation patterns, and hydropower monitoring. His work shows increasing application of deep reinforcement learning for multi-regional power systems and hybrid network models for infrastructure monitoring. He leads research on IoT-enabled energy efficiency in buildings and contributes to epidemic modeling through network science. Current projects examine battery sizing optimization, charging station scheduling under uncertainty, and synergetic building management systems integrating environmental monitoring with energy conservation.
Angelo Corallo is an Associate Professor at the Department of Experimental Medicine, University of Salento, specializing in technologies and methodologies for collaborative processes in industrial systems. His research spans Digital Business Ecosystems , Cybersecurity , and Collaborative Product Design , focusing on the interplay between technology and organizational dynamics. He leads interdisciplinary research divisions in Open Networked Business Management , Learning and Innovation , and Collaborative Product Design . Research Interests : Corallo's work integrates Information and Communication Technologies (ICT) with Business Management, particularly in Digital Twins for healthcare and manufacturing Knowledge Modeling and Ontology Engineering Industry 4.0 and Smart Manufacturing Agri-Food Sustainability through digitalization Scientific Contributions : His recent articles explore trends in Cybersecurity for Industrial IoT Metaverse Applications in business models Traceability Systems in food supply chains Collagen-Based Biomaterials from aquaponics
Luca Schenato is a Full Professor in the Department of Information Engineering at the University of Padova. His research focuses on distributed control systems, federated learning, multi-agent optimization, and wireless communication protocols. He has extensive experience in developing algorithms for cyber-physical systems, with applications in robotics, smart grids, and sensor networks. Education and Appointments section lists his academic journey but lacks explicit details. He has held positions related to control systems and information engineering throughout his career. Research interests include: Design of resilient wireless control systems Federated learning architectures for edge computing Distributed optimization under communication constraints Robotics and multi-agent coordination Smart energy management systems His recent publications (2021–2025) demonstrate a strong focus on: Over-the-air federated learning innovations High-speed wireless control systems (e.g., 1 kHz Wi-Fi control) Resilient distributed optimization algorithms Human-centric building automation He has contributed to numerous projects related to networked control systems and has organized conferences like ECC13. His work emphasizes bridging theoretical control principles with practical industrial applications.
Enrico Fabrizio is an Assistant Professor at the Department of Agricultural, Forest, and Food Sciences (University of Turin). His research focuses on building energy performance, indoor environmental quality, and sustainable design. Key areas include PCM-based thermal energy storage, multi-energy system optimization, and low-temperature heating systems. He has contributed to advancing methodologies for nearly Zero Energy Buildings (nZEBs) and energy-efficient livestock housing. Research domains include HVAC systems, energy-efficient building design, and dynamic simulation tools for energy performance assessment. His work integrates renewable energy technologies, such as solar thermal and photovoltaic systems, with district heating networks and smart grid applications. He has developed frameworks for personalized environmental control systems (PECS) and energy certification protocols for agricultural buildings like pig houses. His recent publications emphasize decarbonization strategies for heat pumps, cryocooler prototypes, and zero-power building paradigms. Collaborations span academic and industry partners, addressing challenges in energy poverty, climate control in greenhouses, and retrofitting historic buildings to nZEB standards.
Chiara Colombaroni is a Researcher (Ricercatore a Tempo Determinato di Tipo A) at the Department of Civil, Building and Environmental Engineering at Sapienza University of Rome, within the Faculty of Civil and Industrial Engineering. She holds a PhD in Infrastructures and Transportation from Sapienza (2011) and Master’s and Bachelor’s degrees in Transportation Systems Engineering (2006 and 2003). Colombaroni specializes in transportation engineering, with a focus on traffic modeling, logistics optimization, and intelligent transportation systems (ITS). She has led and contributed to numerous national and international projects, including research on container operations, road safety, and smart mobility solutions through initiatives like ITS Italia 2020. Her work integrates advanced methodologies like machine learning, big data analysis, and simulation-optimization techniques to address urban mobility challenges. She teaches courses such as Programming for Transport Systems and Freight Transport and Logistics at Sapienza, and supervises doctoral research in transportation systems. Her research outputs span over 17 indexed publications, with an H-index of 8 and impactful contributions to journals like Transportation Research Part C and IET Intelligent Transport Systems. Education: PhD in Infrastructures and Transportation, Sapienza University (2011) MSc in Transportation Systems Engineering, Sapienza University (2006) BSc in Transportation Engineering, Sapienza University (2003) Research Focus: Urban traffic simulation and optimization Intelligent transportation systems (ITS) Logistics and supply chain optimization Big data applications in transportation Electric vehicle integration and sustainable mobility Recent Trends in Articles: Her recent work emphasizes leveraging machine learning for traffic pattern analysis, optimizing urban logistics with electric vehicles, and integrating IoT for waste management. Projects like the ‘Two-Echelon Electric Vehicle Routing Problem’ and ‘Industry 4.0 in Waste Management’ highlight her focus on sustainable and tech-driven solutions. She also explores post-COVID mobility trends and smart city infrastructure design. Grants & Projects: Coordinated the Qatar Strategic Transport Model Update project (2017–present) Contributed to the EU-funded MULTITUDE project on traffic simulation validation (2010–2013) Participated in the ‘PASSIAMO’ project for smart mobility in Lazio (POR FESR 2014–2020) Labs/Teams: Member of the Sapienza Transport and Logistics Research Center (CTL) Collaborated with institutions like CNIT, ENEA, and international partners (e.g., University of South California)
Paolo Marocco is a Fixed-term Assistant Professor at the Department of Energy (DENERG) of Politecnico di Torino, Italy. His work focuses on hydrogen-based mobility solutions, renewable energy systems, and techno-economic/environmental sustainability analysis. He serves on teaching committees for Electrical and Energy Engineering, Mechanical Engineering, and Aerospace Engineering programs. Academic Role: Assistant Professor (Fixed-term) Department: Department of Energy (DENERG) Teaching: Hydrogen Laboratory, Electrical Energy Storage Systems, Applied Thermodynamics Research spans four key areas: Hydrogen Infrastructure : Green hydrogen production for ammonia synthesis, aircraft propulsion, and rail transport decarbonization. Projects include SOFFHICE (SOFC hybridization in maritime engines) and PNRR initiatives for industrial decarbonization. Energy Storage Systems : Hydrogen-battery hybrid storage, virtual thermal inertia storage, and optimal dispatch models for wind-electrolysis systems. Industrial Decarbonization : Semiconductor manufacturing, steel industry high-temperature heat substitution, and biogas carbon recovery. Policy Integration : Bridging technical research with European green policy targets through Italian energy modeling. He supervises 7 PhD students across Energetics, Mechanical Engineering, and Energy/Nuclear Engineering programs. Current projects include SOFFHICE (2023-2026) and PNRR-funded industrial furnace decarbonization (2023). Recent publications analyze hydrogen train feasibility, aviation fuel cells, and storage system optimization.
Luca Settineri is a Full Professor in the Department of Management and Production Engineering (DIGEP) at the Polytechnic University of Turin. He serves as Vicerector for Planning at the university since 2018 and acts as Advisor to the Rector for the University's building and infrastructure development plan. He is also a Member of the Interdepartmental Center J-Tech@PoliTO and Scientific Advisor of the European Association EFFRA and European Partnership EIT Manufacturing. His research focuses on Additive manufacturing (AM), Joining, Machining, Manufacturing technology, Sustainable manufacturing, and Cutting tools materials and coatings. Professor Settineri has published extensively on sustainable manufacturing approaches, with recent work emphasizing the integration of AI in manufacturing processes to enhance inclusivity and efficiency. His research output shows a clear progression toward human-centered manufacturing systems that accommodate cognitive diversity while maintaining production efficiency. His publications from 2023-2025 demonstrate a strong focus on AI-assisted assembly systems, sustainable additive manufacturing processes (particularly WAAM), and the environmental-economic tradeoffs in manufacturing technologies. The interdisciplinary nature of his work bridges mechanical engineering, sustainability science, and human factors engineering. His scientific recognitions include: Fellow of AITEM (Italian Association of Manufacturing Technologies), 2018-2022 Vice-President of AITEM, 2017-2018 Steering Committee member of AITEM, 2013-2018 Fellow of CIRP (International Academy for Production Engineering), 2012-present Effective member of CIRP, 2006-2012 Professor Settineri has supervised PhD students including Salvatore Mafrici and Marta Ceroni, whose research focuses on sustainable manufacturing approaches. He has secured numerous research grants, including FACILE (2024-2026) on agile and sustainable hybrid manufacturing, GREENER (2023-2025) on reducing environmental impact of metal forming processes, and 3A-ITALY Spoke 5 (2023-2025) on circular and sustainable Made-in-Italy initiatives. His leadership extends to the Interdepartmental Center J-Tech@PoliTO where he contributes to advancing manufacturing technology research at the university.
Edoardo Patti is an Associate Professor in the Department of Control and Computer Engineering (DAUIN) at Politecnico di Torino, Italy. He is actively involved in research and teaching, focusing on artificial intelligence, machine learning, IoT, smart grids, energy communities, co-simulation, and digital twin technologies. He is a member of the EDA (Electronic Design Automation) research group and the Interdepartmental Center IAM@PoliTo for Integrated Additive Manufacturing. His research interests span Artificial Intelligence, Machine Learning, Internet of Things, Smart Grids, Energy Communities, Co-simulation, Distributed Software Infrastructure, Digital Twin, Physics-Informed Neural Networks, and Reinforcement Learning . His work is closely aligned with Sustainable Development Goals such as Affordable and Clean Energy (Goal 7), Sustainable Cities (Goal 11), and Climate Action (Goal 13). The latest publications reveal a strong trend in AI-driven modeling for energy systems, including digital twins for wave energy converters, urban electric mobility simulation, real-time battery health estimation, and co-simulation platforms for integrated energy systems. His work combines machine learning with physical models and large-scale distributed systems to address sustainability challenges. He supervises several PhD students, including Maria Adelaide Loffa, Matia Torlini, Rafael Natalio Fontana Crespo, Pietro Rando Mazzarino, Claudia De Vizia, and Marco Massano. He has led numerous research projects funded by EU (H2020), PNRR, regional initiatives, and corporate contracts, particularly in additive manufacturing, smart grids, and IoT platforms. He is involved in multiple research groups and centers: EDA - Electronic Design Automation (DAUIN) Interdepartmental Center IAM@PoliTo - Integrated Additive Manufacturing
Giuseppe Quaranta is an Associate Professor in the Department of Structural and Geotechnical Engineering at Sapienza University of Rome, Faculty of Civil and Industrial Engineering. He is actively engaged in teaching Construction Techniques and Construction Process Management, and maintains regular office hours for students. His research focuses on structural monitoring, dynamic identification, seismic protection systems, and AI applications in civil engineering. Department: Department of Structural and Geotechnical Engineering Faculty: Faculty of Civil and Industrial Engineering Institution: Sapienza University of Rome Email: giuseppe.quaranta@uniroma1.it Dr. Quaranta's research interests span structural monitoring and control, sensing systems, dynamic identification, diagnostics of civil structures, passive vibration control devices, structural concrete, and the analysis and design of reinforced concrete and composite steel-concrete structures. His work integrates computational modeling, experimental validation, and data-driven approaches, particularly using artificial intelligence and machine learning for structural health monitoring and seismic assessment. He investigates energy harvesting using piezoelectric materials for powering wireless sensors in smart infrastructure. The recent publications of Dr. Quaranta demonstrate a strong trend toward energy-based seismic engineering, machine learning for structural performance prediction, nonlinear dynamics of isolation systems, and advanced modal identification techniques. His work combines theoretical modeling, numerical simulation, and experimental testing, with applications to bridges, buildings, and historical structures like the Leaning Tower of Pisa and the Colosseum. Dr. Quaranta is involved in the research project titled "Smart technologies and decision support tools for the assessment of deteriorating reinforced concrete infrastructures in seismic areas at territorial scale," which aligns with his expertise in corrosion hazard mapping, seismic resilience, and smart monitoring systems. While student advising is implied through research collaboration, specific names of advisees are not listed in the provided materials. Smart technologies and decision support tools for the assessment of deteriorating reinforced concrete infrastructures in seismic areas at territorial scale His research team conducts experimental and computational studies on structural systems, including dynamic monitoring of iconic structures such as the Leaning Tower of Pisa and the Colosseum. The lab focuses on developing and applying advanced signal processing techniques, nonlinear system identification methods, and AI-driven tools for structural health monitoring and seismic risk assessment.
Eugenio Brusa is Full Professor of Mechanical and Aerospace Engineering at the Polytechnic University of Turin (Politecnico di Torino), where he also serves as Director of the Doctoral School (2018-2024) and Scientific Advisor for the strategic partnership with Danieli & C. Officine Meccaniche. Since obtaining his PhD in 1997, he has held academic roles in both Turin and the University of Udine, progressing from researcher to Associate Professor (2002) and then Full Professor (2013). Education PhD, Polytechnic University of Turin (1997) Degree in Aeronautical Engineering (Laurea), Polytechnic University of Turin (year not specified) Research Interests Professor Brusa’s expertise lies at the intersection of mechanical design , mechatronics , and systems engineering . His work encompasses: Structural mechatronics and smart materials, including MEMS-scale systems Rotor dynamics and bearing systems for aerospace, steel, and automotive applications Life-cycle assessment (LCA) and circular design methodologies Model-Based Systems Engineering (MBSE) for sustainable industrial products Digital-twin-driven design and predictive maintenance Recent Publications at a Glance Over the past five years Professor Brusa has co-authored more than 20 peer-reviewed articles and conference papers. The research trajectory shows a clear emphasis on sustainable aviation (fuel-cell aircraft thermal management), energy harvesting (piezoelectric and vibration-based systems), digital twins for ice-prediction and rotor monitoring, and circular-economy-oriented design through LCA integration. These works collectively advance greener industrial products and smarter mechatronic systems. Scientific Awards & Distinctions Premio Nazionale “A. Capocaccia” (1999) – awarded by AIAS (Italian Association for Stress Analysis) Member/Associate Editor, journals Energies (2020-2024) and Proceedings of the IMechE Part C (2020-2022) Scientific-committee roles in INCOSE Italy, ASME Italy Section (President 2014-2015), UNITE! European Alliance, ESCP Business School, and several IEEE/ECCOMAS conferences Doctoral Advising & Research Funding Currently supervising seven PhD candidates in Mechanical Engineering and Materials for Sustainability. Since 2018, as Director of the Doctoral School, he oversaw more than 200 doctoral students across disciplines. Active research contracts include: EU and regional projects on predictive maintenance (PRIME 2021-2022) Industrial contracts with Danieli & C. (2025-2028) on scrap-metal crushing & shearing machinery Ongoing partnerships on oil-film bearings for rolling mills, fatigue-life assessment of hydraulic-turbine shafts, and additive-manufacturing quality control Laboratories & Teams Founder or co-founder of four research laboratories: Mechatronics Laboratory (1993) Testing and Characterization of Rotating Systems Laboratory (1997) Industrial Systems Engineering & Design (ISED) Laboratory (2020) – current leader Ubiquitous and Pervasive Technologies Laboratory, University of Udine (2005)
Massimo Ruo Roch serves as an Associate Professor in the Department of Electronics and Telecommunications (DET) at the Polytechnic University of Turin, Italy. His academic appointment falls under the scientific disciplinary sector IINF-01/A - Electronics within Area 0009 - Industrial and Information Engineering. His research spans multiple cutting-edge domains including Artificial Intelligence, Internet of Things, Energy Efficiency, Smart Cities, Logic in Memory, and Nanomagnetics . His work aligns with several European Research Council sectors including Micro- and nano-systems engineering, Artificial intelligence, Computer architecture, and Distributed systems. Ruo Roch leads the VLSILAB research group and has developed significant expertise in smart embedded systems for lighting and IoT applications, as well as agritech with autonomous robot systems for grape harvesting. His publication record demonstrates consistent contributions to low-power computing, magnetic logic circuits, and error correction techniques dating back to the late 1990s. Among his notable recognitions are the National Innovation Award (2013) and the prestigious Prize of Prizes (2014) conferred by the President of the Italian Republic through the National Foundation for Technological Innovation COTEC. He actively supervises doctoral candidates including Fabrizio Mo (working on Molecular Sensors at the Nanoscale) and Andrea Mongardi (researching Bio-inspired sEMG-based embedded systems). His research portfolio includes multiple commercial contracts and patents related to test systems, data-driven architectures, and intelligent lighting devices.
