Marco Geraci is a Professor at the Department of Methods and Models for Economy, Territory and Finance at Sapienza University of Rome . He teaches courses such as Statistics for Health Economics and Computational Tools for Finance . His research focuses on Statistical Methods in Health Sciences , including Quantile Inference , Random-Effects Models , Multivariate Statistics , and Missing Data Analysis . He also specializes in Accelerometer Data , Physical Activity , and Pediatric Oncology . His recent publications emphasize Quantile Regression applications in Public Health , Environmental Science , and Health Economics . Methodological contributions include Directional Quantile Classifiers , Functional Quantile Regression , and Laplace Distribution Projections . Themes span Biostatistics , Surgical Safety , and Maternal/Child Health Disparities .
Dr. Antonino Tuttolomondo is a Professor at the University of Palermo within the School of Medicine and Surgery . He holds a position in the field of Internal Medicine , with specific focus areas including Health Promotion , Maternal and Child Health , and Specialist Excellence . His research interests span Internal Medicine , Neurology , Cardiovascular Diseases , and Thrombophilia , with a significant emphasis on applying Artificial Intelligence to medical diagnostics and prognosis. His recent publications cover topics such as stroke subtypes , heart failure , genetic polymorphisms , and nutritional impacts on cardiovascular health . Dr. Tuttolomondo has contributed to advancing understanding in Biomarker identification for acute kidney injury and ischemic stroke Epigenetic mechanisms in chronic diseases AI applications in cardiovascular imaging Therapeutic strategies for Fabry disease and COPD His work integrates clinical practice with cutting-edge research across various disease states. He maintains regular office hours on Fridays at the former Medical Clinic, Piazza delle Cliniche n. 2, second floor. Contact is available via email at bruno.tuttolomondo@unipa.it .
Elisabetta Manconi is an Associate Professor at the Department of Engineering and Architecture, University of Parma, Italy. She holds a European Doctorate in Sound and Vibration Studies from the University of Southampton and a PhD in Industrial Mechanical Engineering from the University of Parma. Specializing in structural vibrations and wave propagation, her work bridges theoretical and experimental dynamic modeling of mechanical systems. Research Interests Elastic and acoustic wave propagation characterization Dynamic performance of composite materials Waveguides and fluid-structure interaction High-frequency vibration modeling Band-gap formation in periodic structures Scientific Contributions : Her recent publications focus on robotics motion control, vibration attenuation in plates, and NURBS-based path planning, reflecting interdisciplinary applications in mechanical systems and industrial automation. Key collaborators include researchers from the University of Southampton, Aalborg University, and UNESP. Honors & Grants : FFABR research grant (ANVUR/MIUR) Marie Curie EST Fellowship (EU) The Royal Society International Joint Project-2009/R4 Academic Leadership : She supervises PhD theses, serves on doctoral committees, and chairs international conference sessions. Her teaching portfolio includes Mechanical Vibrations, Applied Mechanics, and Industrial Automation across Mechanical and Management Engineering programs.
Paolo Falcarin is an Associate Professor at Ca' Foscari University of Venice, affiliated with the Department of Environmental Sciences, Computer Science and Statistics. His research focuses on cybersecurity, software engineering, and AI compliance, with notable contributions to software protection mechanisms, reverse engineering defenses, and cyber-physical systems. He actively participates in editorial roles for journals like Computers & Security and serves on program committees for IEEE/ACM conferences. Key Projects: ASPIRE (EU FP7), SERICS (PNRR), and Flexymob (Currant s.r.l.) Research Interests: Cybersecurity Knowledge Graphs, Runtime Security (Falco), AI Act Compliance, and Software Renewability His work bridges theoretical cybersecurity advancements with practical applications in distributed systems and IoT. Recent publications emphasize anomaly detection in large-scale systems and regulatory compliance frameworks for AI.
Maurizio Repetto is a Full Professor at Polytechnic University of Turin's Department of Energy (DENERG), with affiliations in the Power Electronics Innovation Center (PEIC) and the Master's and Continuing Education School. His research focuses on electromagnetic analysis, power systems, and renewable energy integration, particularly in energy communities. Research interests span: Electromagnetic field simulation and analysis Optimization methods for energy systems Renewable energy integration and storage Smart grid technologies Sustainable community energy models Recent publications demonstrate strong focus on photovoltaic energy communities, electric vehicle infrastructure, and data-driven modeling of electromechanical systems, reflecting interdisciplinary work combining electrical engineering with optimization algorithms and policy analysis. Awards: ACES Journal Best Paper Award (2008) Research Leadership: Principal investigator for multiple competitive grants including: AGRITECH Spoke 6 (2022-2025, PNRR) E2DRIVER - EU H2020 (2019-2022) Smart Storage for Energy Communities (2014-2015) Leads the CADEMA research group and mentors PhD students in electrical engineering and photovoltaics. Developed patents in energy harvesting technologies including magnetic transmission systems and motion-based generation.
Luca Pugi is an Associate Professor at the University of Florence's Department of Industrial Engineering, specializing in Mechatronics, Mobility, and Mechanical Systems Modeling. He holds a PhD in Engineering from the University of Bologna and has been recognized as a top 2% scientist in Engineering by Stanford/Elsevier since 2019. His research focuses on railway systems, energy storage, and interdisciplinary engineering applications. Education: Graduated in Mechanical Engineering (1999, University of Florence), PhD in Engineering (2003, University of Bologna). Awards include the Premio Cesare Bianchi, Jf Alcock Memorial Award, and UIC-WCRR Best Oral Presentation. Research Interests: Development of HIL testbeds for WSP systems, energy-efficient railway technologies, battery-operated trains, wireless power transfer, and smart transportation systems. Collaborates internationally with institutions like Wright State University, University of Ljubljana, and UNILASALLE. Publications span over 300 indexed works, with recent focus on innovative valve designs, battery management systems, and underwater geological platforms. Leads the MCube research group (Mechatronics, Mobility, and Modeling), emphasizing interdisciplinary collaboration across DIEF, DINFO, and DICEA departments. Grants and Projects: Active in EU-funded initiatives on railway electrification, sustainable energy, and autonomous systems. Co-founder of two tech spin-offs and holds patents in energy storage and mechatronics.
Antonio Violi is an Associate Professor at the University of Sannio (UNISANNIO) in the Department of Law, Economics, Management and Quantitative Methods (DEMM). His research focuses on stochastic programming applications in industrial optimization, energy systems, and logistics. Key research areas include: Stochastic Optimization Risk Management Energy Procurement Smart Mobility Solutions Industrial Performance Modeling Logistics Network Optimization Recent publications (2024) address advanced models for: Production error prevention Dynamic performance evaluation systems Tourism car-pooling optimization Earlier works cover energy market modeling (2008-2021), logistics e-marketplaces (2018), and agri-food supply chain dynamics (2023).
Markus Zanker is a full professor at the Faculty of Computer Science , Free University of Bozen-Bolzano (Italy), where he previously served as vice dean for studies and director for study programmes. He held associate professorship at Alpen-Adria-Universitaet Klagenfurt, Austria (2011-2016). Research Focus : Knowledge-based decision support systems, personalized information filtering/retrieval, product recommendation, conversational sales advisor systems, and product configurators Current Projects : Causal discovery in recommender systems, medical recommendation systems (insulin dosing, drug combinations), explainable AI for tourism and news recommendation The 15 most recent publications (2016-2025) cover topics including: Deep reinforcement learning for medical applications Causal modeling in tourism and online decision-making Explainable recommendation frameworks Session-based news and video recommendations Evaluation of open-source recommendation libraries His work also explores user interaction patterns through studies on bimodal rating statistics, collaborative explanations, and proactive recommendation engagement.
Cristina Malegori is a Researcher in the Department of Pharmacy at the University of Genoa , specializing in chemometrics and analytical chemistry . She teaches courses such as Data Analysis and Chemometrics for Master's programs in Pharmaceutical Chemistry and Technology. Department: Pharmacy Research Focus: Chemometric methods, NIR spectroscopy, TD-NMR applications Teaching: Data analysis tools for pharmacy students Her research combines data science with spectroscopic techniques to solve analytical challenges in material characterization, environmental studies, and pharmaceutical quality control. Recent work includes chemometric modeling of soil rare-earth elements and cross-linking prediction in rubber materials. Office hours are held at the Chemistry and Pharmaceutical and Food Technologies Section (Viale Cembrano, 4) or online via MS-Teams, with appointments arranged via email.
Davide Borelli is an Associate Professor in the Department of Mechanical, Energy, Management and Transport Engineering (DIME) at the University of Genoa, specializing in Environmental Technical Physics (SSD IIND-07/B). He serves on the Board of Directors of the Italian Center of Excellence for Logistics, Transport, and Infrastructure (CIELI), contributing to national infrastructure initiatives. His research spans Building Physics and Acoustics, with core expertise in ship propeller noise characterization, sound absorption materials, and building energy efficiency. Methodologically, he combines experimental acoustics with computational techniques including Lattice Boltzmann simulations for fluid-structure interactions. Recent publications (2024-2025) reveal a dual focus: marine acoustics (ship noise measurement in ports, cavitation tunnel analysis) and sustainable building systems (insulation optimization, perforated plate acoustics). This work directly addresses noise pollution control and energy conservation in infrastructure. Dr. Borelli teaches thermodynamics, building physics, and plant design across Industrial Technologies and Building Engineering programs. His active research collaborations through CIELI and co-authored publications indicate ongoing institutional support, though specific grants and student supervision details remain unpublicized.
Michele Dassisti is a Full Professor at the Department of Mechanics, Mathematics & Management, Politecnico di Bari, specializing in advanced manufacturing technologies and systems. His research bridges Industry 4.0/5.0 paradigms with sustainability, focusing on digital twins, energy optimization, and human-centric production systems. University: Politecnico di Bari Department: Mechanics, Mathematics & Management Email: michele.dassisti@poliba.it Research Interests: Professor Dassisti’s work spans: Industry 5.0 frameworks integrating human-machine collaboration Sustainable manufacturing via lifecycle assessment and exergy analysis Digital twin methodologies for process optimization Energetic efficiency in plastic injection molding and battery systems Smart factory implementations for SMEs Advanced additive manufacturing technologies Recent Publications: His 2024-2025 work emphasizes Industry 5.0 energy systems, AI-driven manufacturing optimization, digital twin applications in PEM-electrolysis, and sustainability metrics for additive manufacturing. Earlier studies focus on magnetorheological fluids, exergy-based quality control, and flow battery sustainability. Labs & Collaborations: He is associated with LabZERO, an interdisciplinary living laboratory for renewable energy and efficiency initiatives in Apulia region.
Santa Di Cataldo is an Associate Professor at the Department of Control and Computer Engineering (DAUIN) of Politecnico di Torino. His research focuses on computer vision, pattern recognition, digital image processing, and medical image processing, with applications in industrial systems and AI for manufacturing. Scientific Branch: IINF-05/A - Information Processing Systems ERC Sectors: PE6_8 - Computer graphics, computer vision, multi media, computer games ERC Sectors: PE6_11 - Machine learning, statistical data processing His work includes developing AI-driven anomaly detection frameworks, physics-informed neural networks for additive manufacturing optimization, and neuro-symbolic approaches for Industry 4.0 applications. He supervises PhD students in Artificial Intelligence and Computer Engineering programs, collaborating on projects like BIG (Blue Is Green) and PNRR-Complementary Plan. Premio Donna Innovazione (2010) He leads courses such as Machine Learning in Applications and Applied AI and Machine Learning , while contributing to bioinformatics and robotics-related teaching. His research is supported by IAM@PoliTo and EDA groups, utilizing LADISPE laboratory facilities.
Bartolomeo Montrucchio is a Full Professor of Information Processing Systems (ING-INF/05) at the Department of Control and Computer Engineering (DAUIN) of the Polytechnic University of Turin. He is a member of the Interdepartmental Center Photonext - PoliTo Interdepartmental Center on Applied Photonics and serves as deputy director at the Interuniversity Center of Regional Interest for the Training of Secondary School Teachers (CIFIS) since July 2012. Additionally, he has held an adjunct professor position at the University of Illinois at Chicago during July 2008. Professor Montrucchio's research spans several cutting-edge areas with a primary focus on quantum computing, computer vision, and sensor networks. His work encompasses image processing, scientific visualization, parallel and distributed systems, and wireless sensor networks. He actively contributes to European research initiatives including the EQUO (European QUantum ecOsystems) project as Scientific Responsible. His research bridges theoretical computer science with practical applications across multiple industries. His publication record shows a strong trajectory toward quantum technologies, with numerous recent publications focusing on quantum machine learning, quantum algorithms for financial applications, and quantum applications in cybersecurity. His work demonstrates increasing emphasis on practical implementations of quantum computing in real-world scenarios, particularly in industrial settings and telecommunications. Best student paper award at BIOSIGNAL2002, conferred by EURASIP, Italy (2002) Associate Editor of IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2019-present) Professor Montrucchio actively supervises numerous PhD students working on quantum computing applications across various domains including finance, cybersecurity, traffic optimization, and industrial use cases. His teaching portfolio includes courses on Quantum Computing, Parallel and Distributed Computing, and Image Processing and Computer Vision across multiple degree programs including Computer Engineering, Biomedical Engineering, and Quantum Engineering. He leads multiple research projects funded by both competitive calls and commercial contracts, with a significant focus on quantum technologies since 2019. His patent portfolio includes several inventions related to tire manufacturing processes and visual rehabilitation for telemedicine.
Rajandrea Sethi is a Full Professor at the Department of Environment, Land and Infrastructure Engineering (DIATI) at the Polytechnic University of Turin, where he serves as Coordinator of the Interdepartmental Center CWC - CleanWaterCenter@PoliTo. His academic career spans multiple international institutions including University of Lyon, University of Vienna, and Helmholtz Zentrum München. Professor Sethi's research focuses on groundwater engineering, contaminant remediation, and environmental nanotechnologies. His work addresses critical environmental challenges including aquifer contamination, water pollution control, and innovative remediation techniques. He has made significant contributions to the understanding of particle transport in porous media and the application of nanotechnologies for environmental remediation. His recent publications reveal a strong trend toward microplastic pollution research, groundwater electro-bioremediation, and the application of advanced nanomaterials for environmental cleanup. His work bridges fundamental research with practical applications for contaminated site remediation. Professor Sethi actively supervises PhD students and teaches courses including Remediation of Contaminated Sites, Groundwater Engineering, and Nanotechnologies for Environmental Remediation. He has secured numerous research grants from national and international funding bodies including PRIN, PNRR, and EU Horizon 2020 programs. His laboratory work through DeltaNova and WATER QUALITY centers focuses on practical applications of his research, with particular emphasis on translating laboratory findings to field applications. His leadership in the CleanWaterCenter@PoliTo demonstrates his commitment to addressing global water challenges through interdisciplinary collaboration.
Paul Major is a Full Professor in the Department of Mechanical and Aerospace Engineering at the Polytechnic University of Turin, where he has established himself as a leading researcher in aerospace systems. He serves as a member of the PhotoNext Interdepartmental Center for Applied Photonics and the University Internship Commission, demonstrating his commitment to interdisciplinary research and student development across multiple domains of engineering. Professor Major's research focuses on digital twin technology, prognostics and diagnostics of aerospace systems, and embedded sensor systems. His work bridges theoretical modeling with practical applications, particularly in the areas of augmented reality for aircraft monitoring, optical fiber sensors for structural health monitoring, and machine learning applications for predictive maintenance of electromechanical systems. His research has significant implications for improving aircraft safety, efficiency, and sustainability, with applications extending to lunar exploration technologies and space habitat design. His recent publications reveal a strong trend toward integrating advanced computational methods with physical systems, particularly in the domains of lunar exploration technology, additive manufacturing for aerospace applications, and sustainable aviation solutions. The interdisciplinary nature of his work spans aerospace engineering, computer science, materials science, and control systems, reflecting the increasingly interconnected nature of modern engineering research. His team has made significant contributions to optical sensor integration, AR visualization for maintenance, and prognostic frameworks for electromechanical systems. Professor Major actively mentors doctoral students, with current advisees including Matteo Bertone, Pierluigi Vergari, Armando Vittorio Atzori, and several others working on cutting-edge aerospace projects including lunar drones, aircraft anti-icing systems, and electromechanical actuator diagnostics. He has secured numerous research grants from both competitive funding bodies and commercial contracts, including projects like ASTRA (Advanced Space Tethers for Remote-sensing Applications), SmartCore, and FreME (Freno Multidisco Ad Attuazione Elettromeccanica Smart). He leads the ASTRA research group focused on Additive manufacturing for Systems and sTRuctures in Aerospace and is actively involved with the student team ICARUS. His work has practical applications in both terrestrial and space environments, with recent projects addressing lunar exploration technologies, sustainable aviation solutions, and advanced monitoring systems for aerospace applications.
