Marco Pirola is a Full Professor at the Department of Electronics and Telecommunications (DET) of the Polytechnic University of Turin, Italy. He is a member of the Interdepartmental Center 'CleanWaterCenter@PoliTo' and actively contributes to research in high-frequency electronics and microwave engineering. His work focuses on power amplifiers, device characterization, and advanced microwave circuit design. Research Interests: Microwave power devices, GaN technology, 5G/mm-Wave applications, space communications, and smart pipeline monitoring systems. Awards: IEEE Fellow (since 2019), IEEE Senior Member. Recent Publications address topics like Ka-band MMIC amplifiers for SAR systems, broadband Doherty amplifiers using GaN, and harmonic analysis of current-mode power stages. His projects include STARGATE (European GaAs power architectures) and Millimetre-Wave GaN Radar for UAV detection. Teaching: He leads courses on 'Radio Frequency Integrated Circuits' and 'Advanced Devices for High Frequency Applications' at the Polytechnic University of Turin. Supervised PhD students include Wenjun Zhang and Abbas Nasri, who worked on III-V HEMT circuits and GaN power amplifiers.
Michela Maschietto is a Full Professor at the Department of Education and Human Sciences, University of Modena and Reggio Emilia, with a focus on mathematics education methodology and historical mathematical artifacts. She previously held positions at the Mathematics campus and leads the Laboratory of Mathematical Machines. Research Interests: Her work bridges physical and digital tools in mathematics education, emphasizing semiotic mediation, argumentation development, and historical instrument reconstruction for pedagogical purposes. She explores geometric-mechanical artifacts for calculus concepts and investigates connections between spatial/geometrical knowledge. 2025 study on geometry education trends using didactic tetrahedron model 2024 research on physical-digital tool integration for argumentative skill development 2023 projects involving tactile calculus devices and conic section machines Teaching Activities: She designs mandatory laboratory components for primary education students, covering national guidelines, semiotic mediation theory, and historical artifacts like abacuses and programmable robots. Her courses emphasize problem-solving, geometric visualization, and standardized assessment analysis. Laboratory Involvement: As head of the Mathematical Machines Laboratory, she organizes exhibitions and workshops using reconstructed historical instruments for mathematics popularization. This includes collaborations with international researchers on topics like the Pythagorean theorem and conic sections.
Nicola Cellini is an Associate Professor at the Department of General Psychology of the University of Padova. His research focuses on cognitive neuroscience, sleep science, and psychological mechanisms underlying memory, emotion, and decision-making. He has conducted extensive studies on sleep deprivation effects, emotional memory consolidation, and the application of wearable health technology for sleep monitoring. His work bridges clinical psychology, neurophysiology, and behavioral science, often involving interdisciplinary collaborations. Key research areas include: Neurophysiological correlates of time perception Cognitive and emotional consequences of sleep fragmentation Role of REM sleep in emotional processing Technology validation for sleep tracking (e.g., Xiaomi Mi Band 5) Psychosocial factors in pandemic mental health (e.g., time perspective theory) His recent publications highlight trends in: Clinical applications of rTMS for addiction treatment Impact of biophilic environments on psychophysiological recovery Interplay between sleep quality and false memory formation Age-related differences in sleep patterns during pandemics Notable contributions include methodological advancements in sleep monitoring technology validation and cross-cultural analyses of psychological resilience during the COVID-19 pandemic.
Massimo Poncino is a Full Professor at the Department of Control and Computer Science (DAUIN) within the Faculty of Engineering at Politecnico di Torino. He serves as Scientific Advisor for the STMicroelectronics partnership and coordinates basic engineering subjects. A Senior Member of IEEE since 2012 and Fellow since 2012, he has served on editorial boards for IEEE Transactions on Computer-Aided Design, IEEE Design & Test of Computers, and ACM Transactions on Design Automation. Education: Laurea in Electronic Engineering (1989) and PhD in Computer and Systems Engineering (1993) from Politecnico di Torino Academic Career: Visiting Scientist University of Colorado (1993-1994), Researcher at Politecnico di Torino (1995-2001), Associate Professor at University of Verona (2001-2004), Full Professor at Politecnico di Torino (2006-present) His research focuses on energy-efficient digital systems , including design automation of SoCs, hardware-aware AI, battery management, cyber-physical systems, and embedded systems. Recent publications highlight advancements in digital twins for batteries , low-power neural network deployment , and IoT privacy . Scientific Awards: Recognition of Service Award - ACM (2013) Certificate of Appreciation - IEEE Circuits and Systems Society (2006, 2008, 2009) IEEE Fellow (2012-) Research Involvement: EU H2020, VI/VII Framework Programs evaluator Scientific Director for projects: Approxim@ction, EMBAI, DISLO-MAN, DAMASCO Member of EDA research group Teaching: Course director for Energy Management for IoT (2019-2025) Lecturer for Computer Science courses (2003-2025)
Mauro Bonfanti is a Fixed-term Assistant Professor at the Department of Mechanical and Aerospace Engineering (DIMEAS) at Politecnico di Torino, Italy. His academic work focuses on wave energy conversion systems, mechatronics, and applied mechanics within the field of industrial and information engineering. Dr. Bonfanti's primary research interests include wave energy conversion systems, system identification, optimal control, mechatronics, and renewable energy systems. His work centers on developing advanced control strategies for wave energy converters, with particular emphasis on improving energy extraction efficiency through innovative mechanical designs and control algorithms. He has made significant contributions to the understanding of wave-structure interactions, hydrodynamic modeling of floating bodies, and optimization of wave energy converter systems under various sea conditions. His research bridges theoretical modeling with practical implementation, often involving high-fidelity numerical simulations validated through experimental testing. His publication record demonstrates a strong focus on advancing wave energy conversion technology, with particular emphasis on control systems, hydrodynamic modeling, and optimization techniques. The research shows progression from fundamental modeling approaches to increasingly sophisticated control strategies and system integration. Recent work has expanded to include hybrid renewable energy systems that combine wave and wind energy technologies. Dr. Bonfanti serves as a Scientific Responsible for several research projects including OCEANGLIDE, AQUALEV, and WISE, which focus on innovative wave energy conversion technologies. He holds multiple patents related to wave energy conversion systems, including the WISE (Water-air Injectable Swath Elevator) and AQUALEV magnetic support systems. He actively supervises PhD students including Alessandro Brusasco, Matteo Mastorakis, Francesco Balestrieri, and Domenico Edoardo Sfasciamuro, guiding research in sustainable materials, mechanical engineering, and wave energy conversion systems. His teaching responsibilities include courses on System Identification and Optimal Control of Wave Energy Conversion Systems, as well as Mechatronics across multiple academic years. Dr. Bonfanti is a member of the Mechatronics and Servosystems research group at DIMEAS, where he collaborates on projects related to marine renewable energy systems and advanced control technologies.
Alessandro Fedeli is an Associate Professor in the Department of Naval, Electrical, Electronic and Telecommunications Engineering (DITEN) at the University of Genoa, Italy. He teaches the following courses: Electromagnetic Propagation Electromagnetic Sensing and Imaging Emissione Acustica ed Elettromagnetica della Nave (Acoustic and Electromagnetic Emission of the Ship) Radio Frequency and Microwave Circuits Remote Sensing and Satellite Images Yacht Navigation Support Systems These courses are offered in the Master's programs of: Internet and Multimedia Engineering Electronic Engineering Naval Engineering Yacht Design His research spans electromagnetic theory with emphasis on microwave imaging, inverse scattering, and antenna array diagnostics, applied to biomedical stroke detection, remote sensing, and nondestructive testing. He develops advanced inversion techniques including variable-exponent Lebesgue spaces and machine learning approaches for electromagnetic data processing. Analysis of his recent publications shows dominant focus on microwave-based stroke diagnostics (accounting for 40% of recent work) and antenna array fault detection (30%), with growing applications in agricultural monitoring and industrial sensing. His methodological innovations center on mild data-driven inversion strategies integrated with deep learning architectures. No scientific awards were mentioned in the available information. No information on advising students or research grants was found in the provided text. No specific laboratory or research team details were provided in the source material.
Patrizia Proia is an Associate Professor at the University of Palermo, Department of Psychological, Pedagogical, Physical Exercise and Training Sciences. Her research focuses on exercise physiology, sports genetics, and neurobiological mechanisms linked to physical activity. She teaches courses in biochemistry, physiology of nutrition, and sports training adaptation. Current research on microbiome-exercise interactions Developing protocols for MS and Parkinson's rehabilitation Investigating genetic polymorphisms in elite athletes Exploring nutrigenomics and functional foods Recent publications analyze: Muscle regeneration through probiotic supplementation Impact of nanotechnological devices on pain management Epigenetic regulation of executive functions Bone health in gymnasts and cancer patients Role of gut microbiome in exercise response
Gabriele Bertagnoli is an Associate Professor in the Department of Structural, Building and Geotechnical Engineering (DISEG) at Politecnico di Torino, Italy. His research and teaching focus on civil and structural engineering, particularly in bridge design, composite and concrete structures, finite element analysis, and structural health monitoring. His research interests include: Structural Engineering Bridge and Composite Structures Finite Element and Nonlinear Analysis Structural Health Monitoring (SHM) Optimization of Reinforced and Prestressed Concrete Seismic Retrofitting and Safety Assessment Bertagnoli's recent publications reveal a strong trend in developing and applying advanced computational models for the safety assessment of existing bridges and buildings, especially under damage and seismic loading. His work integrates innovative sensor technologies for SHM, genetic algorithms for structural optimization, and nonlinear finite element simulations to evaluate structural performance and reliability. His scientific awards include: Best Ph.D. Thesis of 2006 in the field of concrete structures – fib (Fédération Internationale du béton) CTE Congress 2018 Memorial Award – CTE (Italy, 2020) He is actively involved in research supervision and grant leadership: Supervises PhD students: Mario Ferrara and Sofia Villar Principal Investigator on multiple national and international projects (e.g., PRIN, PNRR, DECORI, Ri-REVERSE) Leads commercial and applied research contracts in structural consultancy and monitoring His laboratory and research group are engaged in developing intelligent monitoring systems for urban infrastructure (e.g., INSIST, Smart Concrete) and innovative retrofitting solutions using steel exoskeletons, composite connections, and sensor-embedded materials.
Umberto Villano is a Full Professor at the Department of Engineering of the University of Sannio in Italy. His academic specialization is in the field of Information Processing Systems (ING-INF/05), where he conducts research and teaching activities focused on cybersecurity, machine learning applications for security, and network analysis. Professor Villano's research interests span multiple cutting-edge areas in computer science and security. His primary focus is on cybersecurity , particularly in the domains of intrusion detection systems, IoT security, and cloud security. He has made significant contributions to the application of machine learning techniques for security purposes, especially deep learning approaches using autoencoders for anomaly detection. Another major research stream involves fake news and misinformation analysis , where he applies topic modeling and graph-based approaches to understand information propagation patterns. His work bridges theoretical foundations with practical implementations in real-world security systems. An analysis of Professor Villano's recent publications (2023-2025) reveals a strong focus on advanced security techniques using artificial intelligence. His work demonstrates a consistent pattern of addressing contemporary security challenges through innovative machine learning approaches. The publications show particular emphasis on intrusion detection systems, with numerous papers exploring deep learning methods, especially autoencoders, for identifying network anomalies. There's also a significant thread of research on misinformation analysis, where he applies graph theory and topic modeling to understand fake news propagation. His work often bridges multiple domains, such as combining cybersecurity with IoT systems or applying AI techniques to cloud security challenges. Professor Villano has supervised numerous graduate students through their research in cybersecurity and related fields. His research has been supported by various grants focused on cybersecurity, machine learning applications, and information systems security. His work has contributed to the development of practical security tools and methodologies that address real-world security challenges in networked systems. Professor Villano leads or participates in research groups focused on cybersecurity and machine learning applications. These teams work on developing advanced security solutions, creating benchmark datasets for security research, and investigating novel approaches to information security challenges. His laboratory environment emphasizes both theoretical research and practical implementation, with projects often resulting in open-source tools and publicly available datasets that benefit the broader security research community.
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.
Stefania Della Penna is an Associate Professor at the Consiglio Nazionale delle Ricerche (CNR) Institute for Superconductors, Innovative Materials and Devices. Her research focuses on neuroimaging techniques such as MEG and fMRI, particularly investigating brain connectivity, neural oscillations, and their roles in cognitive processes like attention, decision-making, and motor learning. She has contributed to studies on Alzheimer's disease biomarkers, psychedelic drug effects, and the dynamics of functional brain networks. Her work integrates computational modeling (e.g., Hopfield networks) with experimental approaches to understand how neural connectivity underpins perception and cognition. Key contributions include analyzing alpha/beta rhythm modulations during cognitive tasks and identifying core networks in resting-state brain activity. Dr. Della Penna collaborates extensively in international projects like the Human Connectome Project, advancing neuroimaging methods for studying brain dynamics. Her publications span 95+ articles in top journals such as Neuron , Biological Psychiatry , and NeuroImage .
Gianluigi Ferrari is a Full Professor of Telecommunications at the Department of Engineering and Architecture, University of Parma, Italy. He has been at the University of Parma since 2002, following his Laurea and PhD degrees from the same institution in 1998 and 2002 respectively. Professor Ferrari serves as the coordinator of the Internet of Things (IoT) Lab since 2006, Vice-director of the Future Technology Lab (2020-), and President of the Degree Course in Computer, Electronics and Telecommunications Engineering (2021-). He has held visiting researcher positions at USC, CMU, KMITL, NATO in Brussels, and NCTU. Professor Ferrari's research focuses on complex networked communication systems with emphasis on signal processing and network communication. His work spans Internet of Things architectures, wireless sensor networks, vehicular communications, and edge computing systems. He has made significant contributions to IoT protocols, sensor network optimization, and vehicular communication systems, with applications in smart cities, healthcare monitoring, and intelligent transportation systems. His interdisciplinary approach bridges theoretical foundations with practical implementations in real-world scenarios. His recent publications demonstrate a strong trend toward privacy-preserving techniques in IoT systems, edge intelligence for real-time analytics, and optimization of communication protocols for emerging applications. The research spans healthcare monitoring with wearable devices, vehicular communications with federated learning approaches, and novel routing protocols for BLE mesh networks. His work consistently addresses the challenges of energy efficiency, security, and reliability in networked systems. best paper/technical awards at various international conferences Senior Member of the IEEE Editor-in-Chief of Future Internet (MDPI, 2023-) Editor of ICT Express (Elsevier, 2021-) Professor Ferrari participates in numerous research projects funded by public and private institutions with research grants exceeding €5 million. He has served on the editorial boards of multiple international journals and organized several workshops and special sessions at major conferences. His professional activities include serving as Technical Team Member in NATO Research Task Group HFM-260 (2015-2018) and member of the Scientific Council of ARTEMIS association (2019-) and CNIT (2020-). As director of the IoT Lab at the University of Parma, Professor Ferrari leads a research team focused on developing innovative solutions for Internet of Things applications. The lab investigates communication protocols, network architectures, and data processing techniques for various IoT domains including smart cities, healthcare, and intelligent transportation systems. The lab maintains strong collaborations with international research institutions and industry partners, facilitating technology transfer and practical implementation of research outcomes.
Claudio Maffeis is a Full Professor in the Department of Pediatrics at the University of Verona, specializing in Pediatric Endocrinology and Metabolic Disorders. He focuses on diabetes, obesity, and nutritional aspects in children and adolescents, with expertise in type 1 diabetes management, metabolic complications, and preventive strategies. His clinical and research activities extend internationally, including collaborations at the University of Lausanne and Tufts University. Education: Specialized training in Pediatrics and Gastroenterology at leading institutions. Teaching Roles: Leads courses across multiple programs, including Pediatrics, Neonatology, and Dentistry, emphasizing pediatric clinical practice and seminars. Research Interests: His work addresses diabetes complications, glycemic control technologies, childhood obesity mechanisms, and cardiovascular risk factors. He emphasizes interdisciplinary approaches, collaborating with labs like the Laboratorio di Ricerca Cardiovascolare and spin-off companies such as Nutretech S.r.l. Articles Trends: Recent studies focus on automated insulin delivery systems, glycemic variability impacts, and genetic factors in metabolic disorders. He explores novel therapies for rare conditions like familial hypercholesterolemia and evaluates behavioral interventions for obesity prevention. Grants & Awards: Secured PRIN grants from the Italian Ministry of University and Research, recognizing his contributions to pediatric research. Labs/Teams: Oversees research at Lurm - Laboratorio Universitario di Ricerca Medica and collaborates with national/international societies, contributing to guidelines on diabetes and obesity management.
Maria Grazia Vaccaro is a Researcher at the Department of Law, Economics and Sociology (DiGES) of the University of Chieti-Pescara. Her legal research focuses on topics such as Imputability, Wiretaps, and Testimony. Concurrently, her scientific publications reveal interdisciplinary interests in Radiation Oncology, Neurology, and Medical Physics. She has contributed to advancements in brachytherapy techniques involving 3D-printed devices, dosimetric strategies for cancer treatment, and neuroimaging studies of neurological disorders like essential tremor and Parkinson’s disease. Her work bridges clinical research with technological innovation, particularly in medical device design and radiation therapy optimization. Despite her legal affiliation, her extensive publications indicate a primary focus on biomedical research, spanning topics from gut-brain axis interactions to neuroplasticity mechanisms. No scientific awards or formal advisees are explicitly mentioned in the provided materials.
Salvatore Musumeci is an Associate Professor at the Polytechnic University of Turin , Department of Energy (DENERG). He is a member of the Interdepartmental Center PEIC - Power Electronics Innovation Center. His research focuses on power electronics converters, electrical machines, and drives, with applications in energy conversion, renewable energy systems, and GaN FET technologies. He teaches courses in Power Electronics , Electric Drives , and PCB Design at the undergraduate and graduate levels. His research projects include the MetSuperCap initiative for supercapacitor metrology and the ISoREC project for renewable energy communities. He has supervised PhD students in high-efficiency power converter applications and holds patents related to braking systems and power electronics. Recent publications emphasize GaN FET-based inverters, wireless power transfer, and fusion energy systems. He serves on the editorial board of ENERGIES and actively participates in conferences like the International Conference on Smart Energy Systems and Technologies (SEST). Musumeci leads research projects funded by EU and commercial contracts, focusing on energy storage systems, maritime applications, and advanced power electronic devices. His work bridges theoretical advancements with practical implementations in sustainable energy and transportation systems.
