جست‌وجوی استاد و پژوهشگر

• Electrical Power Systems
• Distribution Networks
• Energy Modeling
• +۷ مورد دیگر

Andrea Mazza is an Associate Professor at Politecnico di Torino (POLITO), Department of Energy (DENERG), where he serves as a Junior project manager and member of the Interdepartmental Center Ec-L - Energy Center Lab. He is a Senior Member of IEEE with extensive research activities focused on electrical power systems and energy transition. Dr. Mazza received his M.Sc. (Honors) and Ph.D. degrees in electrical engineering from Politecnico di Torino in 2011 and 2015, respectively. His research expertise spans multiple critical areas of modern power systems including: Distribution system optimization, reliability and resilience Integration of distributed energy resources and power-to-X plants Multi-carrier distribution systems (heat, gas, and electricity) Real-time simulation techniques and multi-site co-simulation Decision-making methods applied to electricity systems His research portfolio demonstrates a strong focus on addressing contemporary energy challenges through both theoretical and applied approaches. Recent publications reveal growing emphasis on digital twin applications, multi-energy systems optimization, and climate resilience of power infrastructure, particularly examining the impact of extreme weather events on distribution networks. Dr. Mazza has received multiple prestigious awards including the Best Presentation Award at SEST 2021, Best Paper Award at SEST 2020, and earlier career recognition through the Giancarlo Vallauri Degree Award and Optime Award in 2012. He actively contributes to the scientific community as President of the Italian Chapter of the IEEE Education Society (2024-2025), Scientific Coordinator of the local CIGRE Committee, and serves on editorial boards for multiple high-impact energy journals. Dr. Mazza also supervises PhD students and teaches across various engineering programs at Politecnico di Torino, demonstrating strong commitment to both research advancement and educational excellence in the energy sector.

• Energy Systems
• Cogeneration
• Decarbonisation
• +۷ مورد دیگر

Alberto Poggio is a Tenured Assistant Professor at the Department of Energy (DENERG) at the Polytechnic University of Turin. He serves as University Energy Manager and co-coordinator of the "Energy and Climate Change" unit of the Green Team at the university. His academic roles include membership in the College of Electrical and Energy Engineering and serving as a course instructor for Cogeneration Plants and Computational Heat Transfer Laboratory and Machine Fundamentals in the Energy Engineering program. Dr. Poggio's research focuses on energy and environmental planning, with particular expertise in the decarbonization of urban and industrial energy systems, cogeneration plants, district heating systems, and the energy use of biomass and waste. His work addresses critical challenges in sustainable energy transition, particularly in the context of urban infrastructure and climate change mitigation. His research integrates technical, economic, and environmental perspectives to develop practical solutions for energy systems transformation. His recent publications show a clear trend toward district heating decarbonization, with increasing focus on machine learning applications for energy demand modeling, CO2 emission factor calculations, and the integration of renewable energy sources into existing thermal networks. His research spans both theoretical modeling and practical implementation, with strong connections to regional and European sustainability initiatives. Dr. Poggio has served as scientific director for numerous research projects including PROSPECT2030, ITEM2+AGAPE2, and QUADRANTE, among others. His leadership extends to coordinating the Energy working group in the Network of Universities for Sustainable Development (RUS) from 2016-2023 and serving as Curriculum Coordinator for the National Doctorate in Sustainable Development and Climate Change at IUSS Pavia from 2021-2023. He currently supervises PhD student Chiara Monzani, whose research focuses on the decarbonization of district heating systems. His work bridges academic research with practical applications through numerous consulting contracts with local authorities, energy operators, and industrial companies, particularly in the areas of district heating planning and renewable energy integration.

• Flight Dynamics
• Synthetic Sensors
• Urban Air Mobility
• +۴ مورد دیگر

Angelo Lerro is a Fixed-term tenure-track Assistant Professor at the Department of Mechanical and Aerospace Engineering (DIMEAS) , Politecnico di Torino. He specializes in Flight Dynamics , Synthetic Sensors , and Urban Air Mobility , with expertise in Aerospace Engineering and Control Systems . Research interests include synthetic sensor development, flight mechanics, and control algorithms for urban air mobility vehicles. His work spans machine learning applications in aerospace systems and unconventional aircraft configurations . Recent projects involve neural networks for air data systems and nonlinear control models . Publications focus on Kalman filtering , UAV formation control , and VTOL design . Articles highlight advancements in flight data analysis and aerodynamic modeling . Awards : Proof of Concept Network (2015) by Area Park Trieste, Italy Teaching and supervision include PhD courses like Introduction to Flight Experimentation and mentoring students such as Giorgio Antonio Orlando and Gabriele Tarascio. He serves as a Scientific Manager for commercial research projects and Visiting Researcher at UCLA (2011).

• Disordered Systems
• Field Theory
• Critical Phenomena
• +۸ مورد دیگر

Andrea De Martino is an Associate Professor at the Department of Applied Science and Technology (DISAT) , Polytechnic University of Turin , and a member of the SmartData@PoliTO Big Data and Data Science Laboratory. He works at the physics-biology interface , focusing on disordered systems, statistical mechanics, theoretical biology, and interdisciplinary applications. Scientific Branch: PHYS-02/A - Theoretical Physics of Fundamental Interactions, Models, Mathematical Methods ERC Skills: PE1_21 (Mathematics in Sciences), PE2_18 (Statistical Mechanics), PE3_16 (Physics of Biological Systems), PE3_15 (Statistical Physics and Complex Systems) Research Interests include disordered systems, critical phenomena, equilibrium/non-equilibrium statistical mechanics, theoretical biology (information processing, population dynamics, ecosystems), and interdisciplinary applications at the physics-biology interface. His work explores collective behavior, heterogeneity-fitness relationships, and metabolic strategies under environmental variability. Articles Trends reflect expertise in statistical mechanics applied to biological systems, with focus areas spanning RNA networks , microbial metabolism , phenotypic heterogeneity , gene regulation , and multi-cellular coordination . Recent publications address out-of-equilibrium dynamics in ceRNA systems, metabolic diversity analysis, and growth rate optimization in fluctuating environments. Research Projects include SIMBAD (2023-2027) - a Marie Skłodowska-Curie Action on statistical inference for multiscale biological data. He participates in EU-funded research under Horizon Europe , focusing on MSCA Excellent Science initiatives. Teaching encompasses Physics I/II and Electromagnetism modules for Computer, Aerospace, and Automotive Engineering programs. He serves on doctoral colleges for Physics PhD programs at both Polytechnic University of Turin (2014-2025) and Sapienza University of Rome (2014-2016). Laboratories include the Statistical Physics and Interdisciplinary Applications (DISAT) research group and affiliation with the Condensed Matter Physics and Complex Systems Institute (DISAT) at Polytechnic University of Turin.

• Machine Learning
• Medical Image Analysis
• Bioinformatics
• +۳ مورد دیگر

Riccardo Rizzo is a researcher at the National Research Council of Italy ( CNR ), affiliated with the School of Medicine and Surgery at the University of Palermo. His work bridges mathematics, computer science, and biomedical applications. Research Interests Deep learning for medical imaging (MRI, X-ray, histopathology) Graph neural networks in bioinformatics and protein analysis Explainable AI for healthcare diagnostics Clustering algorithms in marine biology and metagenomics Scientific Contributions His recent publications highlight trends in interpretable machine learning for histopathological image classification, bacterial taxonomy, and ecological pattern recognition. Key methodologies include transformers, metric learning, and graph-based approaches. Contact Email: riccardo.rizzo@cnr.it Office: National Research Council of Italy, via Ugo La Malfa 153, Palermo

Gianluca Bonifaziمشاهده پروفایل

پژوهشگر

• Network Analysis
• Social Media Dynamics
• Cybersecurity
• +۳ مورد دیگر

Gianluca Bonifazi serves as a Researcher in the Department of Information Engineering at Marche Polytechnic University's College of Engineering. His academic profile shows active engagement in cutting-edge research with publications spanning network science, social media analysis, and artificial intelligence applications. His research interests focus on network analysis methodologies , particularly examining social media dynamics on platforms like Threads and TikTok, developing frameworks for cybersecurity in IoT ecosystems, and creating novel approaches for explainable AI. Bonifazi's work bridges theoretical network science with practical applications in social media analysis and security systems. Analysis of his recent publications reveals a strong emphasis on multilayer network frameworks applied across diverse domains - from characterizing user behavior in social platforms to interpreting neural network representations. His work demonstrates consistent innovation in adapting network theory to contemporary digital challenges, with particular attention to user influence dynamics, platform security, and AI transparency. Bonifazi maintains an active research trajectory with publications appearing through 2025, indicating ongoing scholarly contributions. His work shows interdisciplinary reach across computer science, data analytics, and social network theory.

Luca Spalazziمشاهده پروفایل

دانشیار

• Computer Science
• Cybersecurity
• Blockchain Technology
• +۵ مورد دیگر

Luca Spalazzi is an Associate Professor at the Department of Information Engineering , Università Politecnica delle Marche , Italy. His research spans multiple domains including cybersecurity , blockchain technology , machine learning , and telerehabilitation systems for Parkinson's disease. He applies formal methods to software verification and security analysis, with a focus on real-time systems and distributed architectures . Key research areas: Cybersecurity, Blockchain, Machine Learning, IoT, Formal Verification Recent work: Blockchain-based sustainable supply chains, Zero-Knowledge Proofs, Smartphone health monitoring His publications (2013-2025) demonstrate expertise in malware detection , smart contract verification , and AI-driven health solutions . Articles include BRAIN 2024 workshop organization and RAPIDO system for Parkinson's telerehabilitation.

Francesco Di Renzoمشاهده پروفایل

دانشیار

• Theoretical Physics
• Quantum Field Theory
• Lattice Gauge Theory
• +۶ مورد دیگر

Francesco Di Renzo is Associate Professor of Theoretical Physics at the University of Parma's Department of Mathematical, Physical and Computer Sciences. Appointed faculty in 2001 and promoted to associate professor in 2016, he holds concurrent research appointments with INFN and coordinates the €4M EuroPLEx H2020 network. His academic background includes: Laurea (Master's equivalent) in Physics with honors, University of Parma PhD in Physics, University of Parma Di Renzo's research centers on lattice formulations of quantum field theories with emphasis on fundamental interactions. He pioneers computational approaches to critical phenomena using Lee-Yang zero analysis and thimble regularization to address sign problems in QCD. His work integrates high-performance computing architectures with emerging AI techniques for non-perturbative physics simulations. Analysis of his 2022-2025 publications reveals three dominant trends: (1) Application of multipoint Padé approximants to locate QCD critical points through Lee-Yang edge singularities, (2) Development of Numerical Stochastic Perturbation Theory (NSPT) for O(N) sigma models at large N, and (3) Cross-disciplinary fusion of machine learning with lattice field theory for phase transition analysis. He currently supervises three PhD students and has served on the Doctoral Studies Committee since 2000. His grant leadership includes EuroPLEx (H2020 scientific coordinator), STRONGnet (FP7 Parma unit lead), and multiple PRIN projects where he coordinated research units. As an INFN-appointed researcher, he directs the QCDLAT initiative. Di Renzo actively contributes to international infrastructure through the International Lattice Data Grid (where he serves as Italian representative and former chairman) and the INFN SUMA supercomputing project. He previously led the AuroScience initiative and currently shapes UNIPR's high-performance computing strategy as committee member.

Fabio Lavagettoمشاهده پروفایل

استاد

• Telecommunications
• Internet of Things (IoT)
• Signal Processing
• +۵ مورد دیگر

Fabio Lavagetto is a full professor at the Department of Naval, Electrical, Electronic and Telecommunications Engineering (DITEN) at the University of Genoa, Italy. His research focuses on telecommunications, signal processing, and biomedical engineering, with particular emphasis on IoT applications for structural health monitoring and medical diagnostics. His recent work explores edge AI-driven signal compression, Wi-Fi-based privacy-preserving monitoring, and microwave imaging for pediatric stroke diagnostics. Publications highlight interdisciplinary approaches combining telecommunications, machine learning, and wearable sensor technology. Key Research Themes: Structural health monitoring with compressive sensing Microwave tomography for biomedical imaging Wi-Fi fingerprinting for context-aware systems Drone-based traffic and object monitoring Wearable IoT devices for rehabilitation

Michele Martelliمشاهده پروفایل

دانشیار

• Marine Engineering
• Naval Architecture
• Ship Propulsion Systems
• +۳ مورد دیگر

Michele Martelli is an Associate Professor at the University of Genoa's Department of Naval, Electrical, Electronic and Telecommunications Engineering (DITEN). He specializes in marine propulsion systems, autonomous vessel navigation, and maritime safety technologies. Academic Rank: Associate Professor Department: DITEN Primary Research Areas: Ship Propulsion, Autonomous Navigation, Collision Avoidance His recent publications focus on integrating LiDAR and AIS data for situational awareness, optimizing thrust allocation in autonomous ferries, and developing COLREG-compliant collision avoidance algorithms. Key trends include multiphysics modeling for electric propulsion, cybersecurity threats to MASS, and environmental impact assessments for dynamic positioning systems. As director of courses like Ship Propulsion Plants and Maritime Systems Design, he bridges theoretical research with practical applications in naval engineering and yacht design curricula. While specific scientific awards aren't explicitly mentioned in the dataset, his work on marine automation and propulsion control systems demonstrates significant technical contributions.

• Electrical Engineering
• Power Systems
• Renewable Energy
• +۳ مورد دیگر

Mansueto Rossi is an Associate Professor at the University of Genoa within the Department of Naval, Electrical, Electronics and Telecommunications Engineering - DITEN . His academic affiliation centers on electrical engineering and power systems research. Research interests include: Power system stability and lightning protection Decentralized energy storage systems Real-time co-simulation modeling Smart building energy management with electric vehicle integration Glocal energy transition strategies Recent publications demonstrate expertise in power system simulations using PSCAD-EMTDC, frequency control architectures, and global energy transition frameworks. He teaches Elettrotecnica (Electrical Engineering) courses for both Mechanical Engineering and Engineering Technology for Strategy and Security programs.

Maurizio Valleمشاهده پروفایل

استاد

• Electronic Engineering
• Embedded Systems
• Machine Learning
• +۴ مورد دیگر

Maurizio Valle serves as Full Professor and PhD Program Coordinator at the Department of Naval, Electrical, Electronic and Telecommunications Engineering (DITEN) of the University of Genoa. His teaching portfolio includes graduate-level courses such as Digital Systems and Electronic Devices for the Master's program in Electronic Engineering, with active instruction scheduled through the 2025-2026 academic year. His research program centers on embedded machine learning systems for tactile sensing applications, with particular emphasis on FPGA implementations of neural networks for real-time sensor data processing. Key focus areas include neuromorphic engineering approaches to tactile texture classification, PVDF sensor analysis for slippage detection, and hardware-efficient implementations of convolutional networks for hand-gesture recognition in prosthetic systems. This work bridges electronic engineering, robotics, and biomedical applications through the development of electronic skin technologies and sensor fusion methodologies. Analysis of his 15 most recent publications (2024-2025) reveals a concentrated research trajectory in real-time embedded solutions for tactile perception systems. Dominant themes include hardware acceleration of neural networks on FPGA/microcontroller platforms, biomimetic sensor design inspired by cutaneous mechanoreceptors, and practical implementations for the Hannes prosthetic hand. The publications demonstrate methodological rigor in sensor characterization while prioritizing computational efficiency for resource-constrained embedded deployment. As PhD Program Coordinator at DITEN, Professor Valle oversees doctoral research in electronic engineering disciplines, mentoring students in specialized areas including embedded AI systems and tactile sensor development. His academic leadership extends to curriculum development for graduate engineering programs at the University of Genoa. His laboratory work focuses on integrated electronic skin systems for prosthetic applications, featuring custom sensor arrays, embedded processing units, and neuromorphic computing architectures. Current projects involve multimodal sensory feedback systems for upper-limb prostheses and real-time object recognition frameworks using wearable sensor gloves, indicating active collaboration with biomedical engineering and robotics research groups.

Francesco Zanichelliمشاهده پروفایل

دانشیار

• Distributed Systems
• Service-Oriented Peer-to-Peer Middleware
• Cloud Systems for IoT
• +۱۰ مورد دیگر

Francesco Zanichelli is an Associate Professor at the Department of Engineering and Architecture, University of Parma, where he teaches Information Systems for Master's in Computer Engineering and Operating Systems for Bachelor's in Computer, Electronics, and Telecommunications Engineering. He also teaches Industrial Software Development Technologies in Information Systems Engineering. PhD in Information Technology (University of Parma, thesis: Programming Autonomous Robots) Industrial Robotics experience (IBM Fellow) Mobile Robotics research (University of Florida) His research spans: Intelligent robotic systems: software architectures, sensor-based interaction, real-time scheduling algorithms Distributed systems: peer-to-peer middleware, cloud-IoT integration, predictive maintenance Location-based services: blockchain-secured privacy, network-aware distribution Performance evaluation via simulation, PlanetLab testbed, and prototyping He leads the DSG distributed systems research group and participates in national/international projects (FP7, NATO, CNIT). He co-founded spin-offs for vehicle multimedia systems (Etheria Srl) and digital payment solutions (Simplycity Srl).

Davoli Lucaمشاهده پروفایل

استادیار

• Internet of Things
• Telecommunications
• Machine Learning
• +۶ مورد دیگر

Luca Davoli is a Fixed-term Assistant Professor at the University of Parma , Department of Engineering and Architecture. His research focuses on the integration of Internet of Things (IoT) technologies with Machine Learning and Smart City applications.

• Hydraulic Engineering
• Flood Risk Management
• Hydrology
• +۳ مورد دیگر

Susanna Dazzi is a Fixed-term Researcher at the Department of Engineering and Architecture, University of Parma, Italy. Her work focuses on hydraulic engineering, flood risk management, and computational modeling, leveraging advanced techniques like physics-informed neural networks and GPU acceleration for real-time flood prediction. Key Research Areas: Flood hazard estimation, levee breach dynamics, dam-break scenarios, 2D hydraulic modeling, and sediment transport analysis. Teaching: Delivers courses on Hydraulic Infrastructures and Hydraulic Protection of the Territory for Master's Degree programs in Civil Engineering. Publications: Develops data-driven models (e.g., FloodSformer) for real-time flood forecasting and investigates hydrodynamic interactions with infrastructure. Contact: Email: susanna.dazzi@unipr.it ; Office: Science Area Park, 181/A, 43124 Parma, Italy.