Federico Silvestro is a Full Professor at the University of Genoa , affiliated with the Naval, Electrical, Electronic and Telecommunications Engineering Department . His academic roles include being a Course Coordinator, Department Council Member, and Deputy Director of DITEN. His research focuses on Power systems stability and control Cybersecurity in energy networks Electric propulsion for marine applications Optimal energy storage and microgrid design Integration of renewable energy in maritime contexts Recent publications highlight trends in data-driven power system analysis , DC microgrid modeling , cybersecurity for virtual power plants , and advanced energy management strategies for maritime and port systems. Email: federico.silvestro@unige.it He leads the ENET-RT Lab , focusing on real-time power systems simulation and co-simulation platforms for marine and grid applications.
Luigi Bruno is an Associate Professor of Machine Design at the Department of Mechanical, Energy and Management Engineering (DIMEG), University of Calabria. He has held this position since 2014, following 12 years as an Assistant Professor at the same institution and Visiting Professorships at IIT Gandhinagar (2012), University of Alabama at Birmingham (2013-2017), and Free University of Bozen-Bolzano (2021). 1999 : Master's in Mechanical Engineering, University of Calabria (110/110 cum laude) 2003 : PhD in Mechanical Engineering, University of Pisa His research interests span: Experimental Mechanics : Pioneering speckle interferometry for micro-displacement measurement and residual stress analysis. Materials Science : Elastic characterization of anisotropic materials, biomedical applications of soft substrates, and 3D-printed composites. Biomedical Engineering : Mechanical behavior of biological tissues, ocular biomechanics, and dental implant material testing. Recent research trends focus on: Integrating artificial muscles into rehabilitation devices Advancing full-field optical measurement via microCT/DVC Optimizing 3D printed polymer adhesion for industrial components Exploring neuronal biomechanics on soft surfaces Scientific contributions include: CS2007A00010 patent for dual-focus speckle interferometers Deputy Editor of Optics and Lasers in Engineering (2019-present) Guest Editor for special issues on optical methods in experimental mechanics and nanobiotechnology Academic leadership extends to coordinating Mechanical Engineering committees (2021-present), serving on editorial boards, and organizing international conferences like AIAS National Conference (2018). He has secured multiple MIUR research grants and industry collaborations with Alfagomma, 3DNA, and Ferrovie della Calabria. His laboratory, Mechanics of Materials and Structures , supports both research and teaching activities with advanced optical measurement systems and computational tools for mechanical design.
Domenico Ferrero is a Fixed-term Tenure-track Assistant Professor at the Department of Energy (DENERG), Politecnico di Torino. His primary role involves advancing research in renewable energy systems, particularly focusing on hydrogen technologies, energy storage, and thermochemical cycles. He contributes to the College of Electrical and Energy Engineering, teaching courses such as Hydrogen Laboratory and Sistemi di accumulo dell'energia elettrica . His research emphasizes experimental and modeling studies on hydrogen production via electrolysis, solar-driven thermochemical cycles, and CO₂ utilization. Key projects include H2SHIFT, HyAcademy.EU, and IMAGHyNE, funded by EU initiatives. Ferrero collaborates internationally on material characterization for protonic ceramic electrolysis cells and sealant development. He supervises multiple PhD students in energy systems and leads the M3ES research group. Publications highlight innovations in solar fuels, redox cycles, and hydrogen-battery hybrid systems. His work bridges fundamental science with applied engineering, targeting sustainable energy solutions for remote and urban environments.
Andrea Passerini is a Full Professor in the Department of Information Engineering and Computer Science at the University of Trento, Italy, where he also serves as Coordinator of the PhD programme in Information Engineering and Computer Science (Ministerial Decree 45/2013). His academic footprint spans multiple departments including Mathematics, Sociology, Cellular Biology, and Industrial Engineering, reflecting deep interdisciplinary engagement across computational sciences and life sciences. His research centers on Machine Learning and Data Mining with specialized expertise in Neuro-Symbolic AI , Probabilistic Reasoning , and Statistical Relational Learning . He pioneers methods for graph-based learning, medical AI applications, and explainable systems, with significant contributions to bioinformatics (particularly RNA-protein interactions) and healthcare diagnostics. His work bridges theoretical rigor with practical implementations in critical domains. Analysis of his 2025 publications reveals dominant trends in neuro-symbolic integration for graph data, human-AI collaboration in medical decision-making, and robust recommender systems. His research increasingly focuses on interpretable AI for high-stakes applications like surgical planning and physician support, while advancing foundational techniques in graph neural networks and concept-based modeling. As PhD programme Coordinator, Professor Passerini mentors doctoral candidates across AI and computer science disciplines. His collaborative network extends to medical researchers at CIBIO (Cellular, Computational and Integrative Biology department) and industrial partners, though specific lab structures aren't documented in available materials. Current projects emphasize medical AI validation, temporal network modeling, and LLM integration with structured reasoning frameworks.
Daily Rodríguez-Padrón is a Research Fellow at Ca' Foscari University of Venice, affiliated with the Department of Molecular Sciences and Nanosystems and the Research Institute for Green and Blue Growth. She holds a BSc from the University of Havana (2013) and a PhD from the University of Córdoba, Spain (2020). Her research focuses on sustainable catalytic processes, nanomaterials, and biomass valorization. Key areas include the development of bio-based catalysts, green chemistry methodologies, and applications of chitin and other natural resources in catalysis. She has contributed to over 70 peer-reviewed articles, emphasizing eco-friendly synthesis and energy-related materials. Her work spans collaborations with institutions like KelAda Pharmachem Ltd (Ireland) and participation in EU-funded projects such as GreenX4Drug (Marie Skłodowska-Curie RISE). Rodríguez-Padrón’s research integrates mechanochemistry, continuous-flow systems, and waste-derived materials to advance sustainable industrial processes.
Professor Weimin Huang is a full Professor in the Faculty of Engineering and Applied Science at Memorial University of Newfoundland, where he has served since 2010 and became a full professor in 2019. He held the position of Department Deputy Head from 2020 to 2023. Education: BSc in Radio Physics (Radio Wave Propagation and Antennas), Wuhan University, 1995 MSc in Radio Physics (Radio Wave Propagation and Antennas), Wuhan University, 1997 PhD in Space Physics, Wuhan University, 2001 MEng in Electrical and Computer Engineering, Memorial University of Newfoundland, 2004 Postdoctoral Fellowship in Electrical and Computer Engineering, Memorial University of Newfoundland, 2007 Research Focus: Huang specializes in radar-based ocean remote sensing , with core expertise in high-frequency ground wave radar (HF radar) , GNSS Reflectometry , and synthetic aperture radar (SAR) . His work targets ocean surface parameter mapping including wind speed, oil spills, ship detection, and sea ice monitoring through advanced digital image processing and applied electromagnetics . Recent innovations integrate deep learning (CNNs, physics-informed models) with radar data for enhanced environmental monitoring. Publication Trends: His 2025 publications reveal a strong shift toward AI-driven solutions in remote sensing, with 5 high-impact papers in IEEE TGRS and Remote Sensing focusing on wind speed estimation (using GNSS-R and wavelet-CNN hybrids), oil spill mapping via SAR, ship detection with HF radar, and climate change analysis. These works demonstrate cross-disciplinary integration of machine learning with geophysical remote sensing. Scientific Awards: No awards were documented in the source material. Advising & Collaboration: With 358 co-authors including Bahram Salehi and Biyang Wen, Huang maintains a robust global research network. While specific student supervision isn't listed, his leadership role and publication volume indicate active graduate mentoring. The text mentions no grant details. Research Infrastructure: His work operates within Memorial University's engineering faculty, leveraging radar facilities for ocean sensing. Collaborations span institutions including Wuhan University and SUNY, suggesting participation in international radar remote sensing consortia focused on maritime applications.
Luisa Mannina is a Full Professor of Food Chemistry at Sapienza University of Rome, Department of Chemistry and Technology of Drugs, Faculty of Pharmacy and Medicine. She leads the Food Chemistry Laboratory (FOODCHEMLAB) and serves as Director of the Metabolomics Unit focusing on Foods, Nutraceuticals and Biological Fluids Research. Her academic career spans over 25 years with progressive appointments from Assistant Professor to her current Full Professor position since January 2019. Full Professor of Food Chemistry (2019-present) Associate Professor of Food Chemistry (2009-2019) Director of multiple Master's programs in Nutraceuticals and Cosmeceutics Coordinator of PhD program in Molecular design and characterization for health promotion Member of numerous institutional committees at Sapienza University Professor Mannina's research centers on Nuclear Magnetic Resonance (NMR) methodologies for food analysis and metabolomics. She has developed innovative analytical protocols for determining metabolic profiles of food matrices and biological fluids, enabling authentication of geographical origin, variety, and cultivation methods for diverse food products. Her work spans olive oils, fruits, industrial hemp, and various agricultural products, with particular emphasis on NMR-based metabolomics for food authentication and quality assessment. She has established herself as a leading expert in industrial hemp analysis, publishing extensively on cannabis inflorescences, seed oils, and related products. Analysis of her recent publications reveals a strong focus on sustainable food systems, with particular attention to agri-food waste valorization, novel food development from unconventional sources like medicinal mushrooms, and advanced analytical techniques for food authentication. Her work increasingly integrates NMR with other analytical methods to address complex food science challenges, including food fraud detection, nutritional enhancement through processing techniques, and chemopreventive properties of plant-based products. The research demonstrates consistent evolution from fundamental food characterization toward applied solutions addressing contemporary food system challenges. Her scientific recognition includes: GIDRM/GIRM 2018 Gold Medal ANVUR Research Funding (2017) Associate Editor of Journal of Integrated Omics Member of Scientific Committee of La Rivista Italiana delle Sostanze Grasse Professor Mannina has successfully supervised numerous PhD students and directed multiple Master's programs. Her research is supported by substantial funding from regional, national, and European sources, including projects on industrial hemp valorization (€150,000), innovative bio-packaging (€50,000), and metabolomic studies of Mediterranean diet adherence (€14,500). She maintains active collaborations with European research institutions and industry partners through various research contracts. Her Food Chemistry Laboratory (FOODCHEMLAB) is equipped with state-of-the-art analytical instrumentation including NMR, HPLC-PDA, GC-MS, and other advanced equipment for comprehensive food analysis. The laboratory serves as a hub for metabolomic research, food authentication studies, and valorization of agricultural by-products, contributing significantly to Sapienza University's research profile in food science and technology.
Federico Nutarelli is an Assistant Professor of Economics at the IMT School for Advanced Studies Lucca, Italy. His research focuses on the intersection of machine learning and economic analysis, particularly in international trade, health economics, and industrial organization. He holds a Ph.D. in Economics from IMT Lucca, and previously conducted postdoctoral research at Bocconi University. In 2024, he was a Visiting Scholar at MIT Sloan School of Management. Key research interests include causal machine learning methods to analyze heterogeneous firm responses to economic shocks, pharmaceutical market pricing strategies, and structural demand models. His work bridges methodological rigor with applied relevance, contributing to health economics, trade dynamics, and innovation policy. Recent publications (2020–2025) explore topics such as matrix completion for world trade analysis, machine learning applications in economic complexity, and modeling innovation ecosystems. His work often employs advanced statistical techniques like Shapley values and reinforced Bernoulli processes. No scientific awards were explicitly mentioned in the provided texts. Federico collaborates with institutions like Bocconi University and MIT Sloan, reflecting his interdisciplinary network in economics and data science.
Prof. Michele Germani is a Full Professor at the Polytechnic University of Marche, Department of Industrial Engineering and Mathematical Sciences. His research focuses on ergonomics, sustainability, and human-centered design, with particular emphasis on industrial automation, wearable technologies, and circular economy principles. He leads projects on ergonomic risk assessment, environmental impact modeling, and smart manufacturing systems. Academic Background: Holds a position in the Faculty of Engineering, contributing to both teaching and research. His work integrates machine learning, sensor-based systems, and virtual reality to address challenges in manufacturing, healthcare, and sustainable design. Research Interests: Prof. Germani explores topics such as design for disassembly, eco-design tools, and the application of advanced technologies (e.g., exoskeletons, cobots) to enhance workplace safety and efficiency. His studies often bridge engineering and environmental science, aiming to reduce carbon footprints through innovative design methodologies. Key Projects: Development of decision support systems for fall risk detection, sensor-based ergonomic evaluation tools, and frameworks for circular economy implementation. He also investigates the impact of Industry 4.0 technologies on workforce dynamics and operator training via mixed reality simulations. Grants & Collaborations: Engaged in interdisciplinary collaborations focusing on sustainable manufacturing, healthcare technology, and smart systems. His research has led to tools like Durabot for durability analysis and Greenbuild for green building design. Labs & Teams: Oversees labs developing eco-design strategies, human-robot collaboration systems, and ergonomic assessment protocols, with a focus on real-world industrial applications.
Davide Cassi serves as Associate Professor of Physics of Matter at the University of Parma's Department of Mathematical, Physical and Computer Sciences since 2001, following his appointment as Researcher in Theoretical Physics (1995-2001). With over 30 years of academic service, he teaches Condensed Matter Physics, Soft Matter Physics, and Physics Applied to Gastronomy across undergraduate and graduate programs in Physics and Gastronomic Science. His educational background includes: Ph.D. in Physics, University of Parma (1988-1992) Master’s degree in Materials Science and Technology, University of Parma (1986-1988) Degree in Physics, University of Parma (1982-1986) Cassi's research integrates statistical mechanics with real-world applications through two primary lenses: complex network theory for ecological and social systems, and soft matter physics applied to culinary processes. His work on biodiversity loss prediction in agricultural networks and food preservation technologies demonstrates exceptional interdisciplinary reach. Recent publications reveal a strategic pivot toward AI-driven biodiversity conservation and network robustness modeling. Analysis of his 15 most recent publications (2023-2025) shows dominant themes in network vulnerability analysis (68% of works) and food-physics applications (27%), with emerging focus on machine learning integration for ecological modeling. His research bridges theoretical physics with practical solutions in food safety and ecosystem management. Key recognitions include: Grand Prix de la Science de l'Alimentation from Académie Internationale de la Gastronomie (2012-2013) Dual National Scientific Qualifications for Full Professorship (2022) in Theoretical Physics of Fundamental Interactions and Matter Cassi's academic contributions extend beyond publications to two international patents in food preservation technology and editorial leadership since 2007 for World Scientific's Series on Advances in Statistical Mechanics . His research program demonstrates consistent translation of theoretical physics into practical applications across gastronomy and ecology, with growing emphasis on AI-enhanced network analysis for sustainability challenges.
Enzo Mastinu is an electronic engineer specialized in embedded systems for biomedical applications, holding an Associate Professor qualification in Bioengineering. He earned his bachelor's and master's degrees in electronic engineering from the University of Cagliari and a PhD in biomedical signals and systems from Chalmers University of Technology, Sweden. His research focuses on advanced prosthetics and neuroprostheses for upper limb amputations, incorporating embedded systems design, control algorithms, sensory feedback, signal processing, AI, and osseointegration. Key projects include the HAND and HAND2 initiatives, funded by the EU and the Italian Ministry of Research, aiming to develop semi-autonomous prosthetic hands. He has published 25 journal articles (75% in Q1) and 21 conference papers, contributing to a PCT patent. Mastinu is a Senior Member of IEEE EMBS and RAS, reviews for ~90 journals/conferences, and edits Transactions on Medical Robotics and Bionics (IEEE) and Scientific Data (Nature). He has supervised ~40 students across PhD, master's, internships, and postdocs, and teaches courses in biomedical engineering and STEM education. His scientific awards include the Marie Skłodowska-Curie Fellowship (2021), National Qualification as Associate Professor (2024), and a Young Researcher Grant (2025). Research emphasizes clinical implementation of prosthetics with neural feedback and intuitive control, as highlighted in high-impact journals like the New England Journal of Medicine.
Professor Caterina Ida Zeppieri is an Associate Professor at the Institute for Numerical and Applied Mathematics , University of Münster, Germany. Her research focuses on homogenization theory, calculus of variations, and applications in material science. She leads the Analysis and Modelling Research Group , which explores variational methods and their computational implications. Research Interests: Her work centers on stochastic and deterministic homogenization of free-discontinuity problems, Γ-convergence, and the analysis of heterogeneous materials. She investigates mathematical models for fracture mechanics, phase transitions, and plasticity, often employing advanced techniques from calculus of variations and partial differential equations. Recent Contributions: Recent articles address topics such as strong approximation of SBV functions (2025), stochastic homogenization in perforated domains (2024), and gradient damage models (2022). These studies emphasize rigorous mathematical analysis with applications to real-world material behavior. Grants & Collaborations: Zeppieri’s research is supported by grants from the German Research Foundation (DFG), including projects within the Cluster of Excellence 2044 (e.g., C1: Evolution and Asymptotics). She collaborates with institutions globally, advancing interdisciplinary approaches to material modeling. Teaching: She teaches advanced courses like Applied Functional Analysis and Calculus of Variations , and mentors students through seminars and thesis supervision. Her group hosts regular colloquia and workshops, fostering academic exchange in applied mathematics.
Michele Gattullo serves as an Assistant Professor within the Department of Mechanics, Mathematics & Management at the Polytechnic University of Bari, Italy, specializing in design methods for industrial engineering (ING-IND/15). His research bridges cutting-edge extended reality technologies with practical industrial applications, focusing on human-centered solutions for manufacturing, maintenance, and workplace design. Dr. Gattullo's research portfolio centers on Augmented Reality, Virtual Reality, and Biophilic Design, with significant contributions to Human-Computer Interaction in industrial contexts. He investigates how nature-inspired elements in virtual workspaces enhance employee well-being and productivity, while simultaneously developing practical AR tools for assembly guidance, technical documentation, and maintenance support. His work uniquely integrates ergonomics, cognitive psychology, and industrial engineering to optimize human-technology interaction in complex production environments. Analysis of his 15 most recent publications reveals two dominant research trajectories: biophilic design frameworks for virtual/metaverse workspaces (2023-2025) and industrial AR authoring methodologies. The biophilic stream establishes evidence-based guidelines for digital nature integration, while the AR stream delivers validated tools like ADAM and minimal AR approaches that streamline technical documentation creation. Both trajectories emphasize user experience validation through rigorous industrial studies, demonstrating strong interdisciplinary impact across computer science, industrial engineering, and environmental psychology. Scientific Awards: No awards or honors were documented in the available sources. Advising and Grants: The provided materials contain no information regarding graduate student supervision, research grants, or funding sources. His academic profile emphasizes publication output over mentoring activities or project financing details. Laboratories and Teams: While Dr. Gattullo's research involves advanced XR technologies, the source text does not specify laboratory facilities, research groups, or collaborative teams associated with his work at Politecnico di Bari.
Bernardo Tellini is a Full Professor of Electrical and Electronic Measurements at the Department of Energy, Systems, Land, and Construction Engineering (DESTEC) at the University of Pisa, where he also serves as Vice-Rector for Doctoral Research. He has held this institutional role since 2020, overseeing doctoral program planning, accreditation, and admission procedures. Previously, he chaired the doctoral program in Energy, Electrical, and Thermal Engineering from 2012 to 2016 and served on the Leonardo da Vinci Doctoral School in Engineering from 2008 to 2016. Education: PhD in Electrical Engineering, University of Pisa (1999) Degree in Electrical Engineering, University of Pisa (1993) Postdoctoral research at Karlsruhe Research Center for Technology and Environment Industry experience at ABB Tellini's research focuses on electrical and magnetic measurement methodologies for high-power pulsed applications, characterization of electrical and magnetic properties of materials, aging processes in battery cells, and electromagnetic emissions from power circuits. His work spans from fundamental measurement theory to practical industrial applications, particularly in railway technologies where he represents the University on the Steering Committee of the District for Railway Technologies, High-Speed, and Network Safety in Tuscany. He has served as president of the European Pulsed Power Laboratories agreement and chaired major IEEE conferences including I2MTC 2015 and MELECON 2020. His recent publications reveal a strong emphasis on RFID-based localization systems , nanoparticle-enhanced optical sensors , and advanced battery characterization techniques . The research trajectory shows increasing integration of measurement science with emerging technologies like plasmonic sensing, microwire-based transducers, and smart systems for industrial monitoring. His team has developed innovative approaches for battery health monitoring under vibration stress, temperature sensing using magnetic materials, and precise localization methods using phase-based RFID systems. Professional Service: President of Italian Section of IEEE (2019-2021) Scientific director of Pisa research unit in Association of Electrical and Electronic Measurements (GMEE) Member of Certification Committee of Italcertifer SpA (since 2019) Representative on District for Railway Technologies Steering Committee (since 2013) Tellini has authored approximately 200 publications in international journals and conference proceedings. His leadership extends to academic governance through roles on the DESTEC Department Human Resources Committee and various university committees overseeing scientific qualifications and doctoral programs. His research bridges theoretical measurement principles with practical engineering solutions for energy systems, transportation infrastructure, and industrial monitoring applications.
Andrea Perna is an Assistant Professor at the IMT School for Advanced Studies in Lucca, Italy, with a background in theoretical biology and biophysics. Previously, he held a Senior Lecturer position at the University of Roehampton, UK, and conducted research across Europe and Australia. His work focuses on collective animal behavior, pattern formation in biological systems, and ecology, combining experimental, computational, and mathematical approaches. Education: Degree in Biological Sciences from Scuola Normale Superiore and University of Pisa (Italy), followed by a PhD in Psychophysics (neurobiology) from Scuola Normale Superiore, Pisa. Research Interests: Collective behavior in fish schooling, termite nest architecture, biophysical principles of animal group cohesion, and the interplay between individual behavior and ecosystem properties. Notable projects include modeling trail networks in ants and exploring how environmental factors influence nest construction in termites. Labs/Teams: Leads the Networks Unit at IMT School, collaborating with institutions like the Hawk Conservancy Trust and international researchers in ecology, mathematics, and physics. Active in mentoring PhD and post-doctoral researchers in complex systems and ecological modeling. Grants/Funding: Secured funding for post-doctoral positions studying termite nest evo-devo and collaborative projects on raptor flight mechanics.
