جستجوی استاد راهنمای دانشگاهی

• Power System Analysis
• Distribution System Optimization
• Electrical Load Management
• +۷ مورد دیگر

Gianfranco Chicco is a Full Professor at the Politecnico di Torino , Italy, within the Department of Energy (DENERG). He serves as Scientific Director of the Electrical Power Systems research group and the Turin unit of the ENSIEL Consortium. A Fellow of IEEE (since 2018), he has held editorial leadership roles as Editor-in-Chief of Sustainable Energy, Grids and Networks and Subject Editor of Energy , while chairing major conferences like IEEE ISGT Europe 2017 and UPEC 2020. Education : Laurea (cum laude) in Electrical Engineering (1987), Ph.D. in Electrical Engineering (1992), Doctor Honoris Causa (2017, Polytechnic University of Bucharest; 2018, Technical University 'Gheorghe Asachi' of Iasi). Research Interests : Focus on power transmission and distribution systems , distributed energy resources , and multi-energy smart grids , with applications in artificial intelligence , load management , and power quality . His work addresses technical, economic, and environmental aspects of distributed generation and smart grid sustainability . Publications Trends : Recent articles emphasize photovoltaic power optimization , dynamic grid modeling , and multi-energy system coordination , reflecting expertise in renewable integration , clustering algorithms , and adaptive control . Key subfields include voltage stability , load forecasting , and blockchain for energy trading . Awards : IEEE Fellow (2018-) Best Paper Awards at SEST (2018, 2020) Doctor Honoris Causa (2017, 2018) 'Giancarlo Vallauri' Degree Prize (1988) Advising and Grants : Supervises PhD students in power converters , renewable integration , and high-voltage measurement methodologies . Leads European projects like H2020 MIGRATE and OSMOSE, focusing on grid resilience , clustering-based network planning , and multi-energy sustainability .

• Energy Systems
• Machine Learning
• Reinforcement Learning
• +۱۲ مورد دیگر

Marco Badami is a Full Professor at the Department of Energy (DENERG) , Polytechnic of Turin. He serves as Scientific Director for national and EU-funded research projects in energy systems and has been a Course Lecturer for Energy Systems and Industrial Use of Energy since 2010. He supervises PhD students in Energetics and Electrical Engineering . Research Interests: His work spans energy systems optimization, machine learning applications for industrial energy efficiency, smart grids, cogeneration scheduling, blockchain-based energy data immutability, and predictive maintenance algorithms for photovoltaic plants. Current projects focus on AI-driven energy audits, optimized control systems for industrial microgrids, and digital twin architectures. Collaborations: He works with Trigenia Srl, Stogit SpA, and international institutions on commercial research contracts. His scientific contributions include 15+ publications on topics like LSTM forecasting for solar energy, deep reinforcement learning for multi-energy systems, and decentralized peer-to-peer energy trading platforms.

Federico Silvestroمشاهده پروفایل

استاد

• Power Systems
• Renewable Energy Integration
• Cybersecurity in Energy Networks
• +۷ مورد دیگر

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.

• Econometrics
• Environmental Economics
• Climate Change
• +۶ مورد دیگر

Carlo Fezzi is an Associate Professor at the Department of Economics and Management, University of Trento. His research focuses on econometrics, environmental economics, and climate change impacts, particularly in policy design and integrated modeling. Teaches Applied Econometrics and Econometrics for Behavioral and Applied Economics and Mathematics programs. Leads workshops in the Market Analysis Laboratory (G3-2), emphasizing data-driven market understanding. Fezzi’s research integrates econometric methods with environmental policy, addressing biodiversity, climate adaptation, and energy economics. Recent work explores land use optimization under climate change, electricity demand forecasting, and coral reef valuation. His publications span topics like carbon trading, agro-environmental modeling, and non-market valuation techniques. Fezzi’s 15 most recent articles highlight trends in econometric applications to environmental challenges, including climate policy, energy demand modeling, and biodiversity conservation. His methodologies combine linear/nonlinear models, neural networks, and spatial analysis to address global issues like food security, carbon emissions, and ecosystem resilience.

Umberto Desideriمشاهده پروفایل

استاد

• Renewable Energy Systems
• Thermal Engineering
• Hydrogen Technology
• +۱۵ مورد دیگر

Umberto Desideri is a Full Professor of Thermal Machines at the University of Pisa since November 2014, following his tenure as Full Professor at the University of Perugia from 2004 to 2014. He has held leadership roles, including Head of the Department of Engineering at the University of Perugia (2014) and Head of the Department of Energy, Systems, Territory and Construction Engineering at the University of Pisa (2016–2020). He is actively involved in editorial boards, such as the ASME Journal of Fuel Cell Science and Technology (2005–2017), Journal Applied Energy (since 2007, Associate Editor from 2011, Senior Editor since 2022), and Journal Applied Thermal Engineering (since 2013). Additionally, he co-founded two spin-off companies in 2005: Tecnologie per la riduzione delle emissioni engineering srl and Biomasse e nuove tecnologie srl . Desideri obtained his MSc in Mechanical Engineering from the University of Florence in 1988 and his PhD in Energy Engineering from the same university in 1993. His academic career includes roles as Assistant and Associate Professor at the University of Perugia (1992–2004) before becoming a Full Professor there in 2004. His research focuses on renewable energy systems (geothermal, solar, biomass), hydrogen and fuel cell technologies, carbon capture and storage, and energy-efficient buildings. He explores polygeneration systems, sustainable energy storage, and decarbonization strategies for industries like tissue paper production. Recent work emphasizes the integration of renewables with thermal storage and CO2 utilization in circular energy systems. Awards: Fellow of the American Society of Mechanical Engineers (since 1994) Listed in the Top Italian Scientists in Engineering Recognized as a World Top 2% Cited Scientist In advising and grants, he has supervised over 200 Master’s theses and led EU-funded projects such as: H2020 COMPBAT (2020–2024): Computer-aided design for next-gen flow batteries H2020 Regen-by-2 (2020–2027): Multi-energy systems using two-phase fluids LIFE Augia (2020–2023): Sewage oxy-gasification for chemicals production He directed the Fuel Cell Laboratory (2007–2014) and Wind Tunnel (2010–2014) at the University of Perugia. His current work at the University of Pisa’s DESTEC department addresses hydrogen technologies, energy transition, and sustainable systems.

• Fluid Mechanics
• Sediment Transport
• Fluvial Morphodynamics
• +۷ مورد دیگر

Marco Tubino is a Full Professor in the Department of Civil, Environmental and Mechanical Engineering at the University of Trento, where he serves as Department Director since 2012. Previously, he was Dean of the Faculty of Engineering (2005-2012) and has held academic positions since 1990, including Associate Professor at the University of Genoa before joining Trento in 1994. Education: 1977: Diploma di Maturità Classica, Liceo Statale "Andrea D'Oria", Genoa 1982: Laurea in Chemical Engineering (with honors), University of Genoa 1986: PhD in Hydrodynamics, University of Padua Research Focus: Tubino's work centers on fluid mechanics and fluvial morphodynamics , with expertise in sediment transport, tidal hydrodynamics, ecohydraulics, and environmental fluid mechanics. His research integrates field observations, mathematical modeling, and experimental studies to address river bifurcations, meandering dynamics, debris flows, and climate change impacts on alpine systems. Recent work emphasizes AI applications for river prediction and waste management sustainability. Publication Trends: His 2023-2025 publications reveal intensified focus on river bifurcation mechanics, permafrost-affected Arctic streams, and machine learning for meander migration prediction. Key themes include sediment partitioning in deltas, climate change impacts on fluvial systems, and life-cycle assessment of waste-to-energy technologies, reflecting growing interdisciplinary integration with environmental engineering. Scientific Recognition: Wiley-Blackwell Award for best paper in Earth Surface Processes and Landforms (2010) Academic Leadership: Tubino coordinates the Environmental Fluid Mechanics and Morphodynamics Research Group (GIAMT) and has directed Trento's PhD program in Environmental Engineering (2000-2007). He has secured numerous research grants for environmental impact studies, fluvial modeling projects, and international collaborations including dual-degree programs with Karlsruhe University. Research Infrastructure: Leads the GIAMT group specializing in experimental flume studies, numerical modeling of river systems, and field investigations of braided and meandering rivers, with recent expansions into AI-driven morphodynamic prediction and climate change impact assessment.

Pietro Manzoniمشاهده پروفایل

استاد

• Internet of Things (IoT)
• Mobile Wireless Networks
• LPWAN Technologies
• +۷ مورد دیگر

Pietro Manzoni is a Professor of Computer Engineering at the Polytechnic University of Valencia (UPV), Spain. He holds a Master's from the University of Milan (1989) and a Ph.D. from Politecnico di Milano (1995). His research focuses on IoT, edge computing, and wireless networks, with emphasis on TinyML, LPWAN, and edge-cloud systems. He coordinates the Computer Networks Research Group (GRC) and is active in IEEE committees. Education includes a Master's in Computer Science (Università degli Studi di Milano, 1989) and a Ph.D. in Computer Science (Politecnico di Milano, 1995). He interned at Bellcore Labs (USA, 1992–1993) and ICSI (USA, 1994). Research interests span IoT applications, resource-constrained devices, and distributed systems. His work prioritizes empirical validation through prototypes. Teaching includes courses on Networks and Security, Intelligent IoT Systems, and IoT fundamentals in Spanish programs. Publications emphasize IoT protocols, UAV swarms, and TinyML. No scientific awards listed, but over 130 theses advised. Coordinates GRC projects and contributes to editorial boards and conferences.

Antonio Pietrabissaمشاهده پروفایل

دانشیار

• Networked Systems
• Time-delay Systems
• Non-cooperative Control
• +۴ مورد دیگر

Antonio Pietrabissa is an Associate Professor at the Department of Computer, Control, and Management Engineering “Antonio Ruberti” (DIAG) of the University of Rome Sapienza, where he earned his degree in Electronics Engineering (2000) and PhD in Systems Engineering (2004). He has been teaching Automatic Control and Process Automation since 2010 and holds the National Scientific Qualification as Full Professor in Systems and Control Engineering (09/G1). Research interests include networked systems, robust control, Markov decision processes, and deep reinforcement learning. His work spans telecommunications, biomedical applications, and space systems, with a focus on federated learning and decentralized control. He has authored ~70 journal papers (Scopus h-index 22) and co-invented a patent for model predictive control in motor disability assistance. Awards include the 2021 Cybersecurity Award and ETRI Journal Best Paper. Current projects are NANCY (6G networks) and CADUCEO (AI-driven medical diagnostics). He is also CEO of Sapienza startup Automation Intelligence and Control (AICO), commercializing AI solutions for space, telecom, and biomedical sectors.

• Energy Systems
• Renewable Energy
• District Heating and Cooling
• +۵ مورد دیگر

Giuseppe Franchini is a Full Professor of Energy and Environmental Systems at the Department of Engineering and Applied Sciences at the University of Bergamo. He serves as both the Rector's Delegate for Energy Transition and Director of the Department of Engineering and Applied Sciences. His academic career is centered on energy systems research with significant contributions to renewable energy technologies. He teaches Energy Systems and Renewable Energy Technologies in the Master's Degree Program in Mechanical Engineering, along with other related courses including Smart Energy Systems and Technologies for Energy Sustainability. Professor Franchini's research focuses on complex energy systems with particular emphasis on renewable energy plants and experimental investigations of turbomachinery. His work spans across solar energy systems, district heating and cooling networks, hydrogen energy applications, and smart grid technologies. His research group actively investigates optimization strategies for renewable energy integration in various contexts from urban environments to remote communities. His publication record shows a strong trend toward practical applications of renewable energy systems, with recent work focusing on energy transition challenges in different geographical contexts including Latvia, Milan, and the Arabian Peninsula. His research increasingly incorporates machine learning techniques for energy forecasting and system optimization, while maintaining strong emphasis on techno-economic assessments of emerging energy technologies like green hydrogen production. As Director of the Department of Engineering and Applied Sciences, Professor Franchini oversees multiple research initiatives and educational programs. His leadership role as Rector's Delegate for Energy Transition positions him at the forefront of implementing sustainable energy practices at the university level and influencing regional energy policies.

• Telecommunications
• Wireless Networking
• Energy-Efficient Network Design
• +۳ مورد دیگر

Greta Vallero serves as a Fixed-term Assistant Professor in the Department of Electronics and Telecommunications (DET) at the Polytechnic University of Turin, affiliated with the College of Computer, Film, and Mechatronics Engineering. She actively contributes to multiple degree programs including Communications Engineering, Computer Engineering, and Electronic and Communications Engineering. Her research focuses on telecommunications infrastructure innovation , particularly in wireless network optimization, energy efficiency, and resilience. Key areas include HAPS integration for traffic management, AI-driven environmental impact reduction in network operations, and microgrid applications for maintaining network functionality during power disruptions. Her work bridges theoretical advancements with practical implementations to address modern telecommunications challenges. Recent publications reveal a strong trend toward sustainable network architectures , combining machine learning techniques with power system innovations. Her 2024 works demonstrate significant advancements in LSTM-based environmental impact reduction, HAPS offloading strategies, and microgrid integration for RAN resilience, reflecting a cohesive research direction focused on environmentally conscious network design. Vallero supervises four active PhD students in Electrical, Electronics, and Communications Engineering: Maoquan Ni, Jun Yin, Mohammadreza Jokar, and Aurora Martiny. Her collaborative network includes prominent researchers like Michela Meo, with whom she has co-authored multiple high-impact publications. She teaches core networking courses across multiple engineering programs, including Computer Networks and Communication Networks, while contributing to specialized labs like the Internet Performance and Troubleshooting Lab. Her research group operates within the Department of Electronics and Telecommunications, focusing on next-generation network technologies with emphasis on sustainability metrics and resilience engineering. Current projects integrate telecommunications infrastructure with renewable energy systems and AI-driven optimization frameworks.

• Electrical Engineering
• Renewable Energy Communities
• Smart Grids
• +۱۲ مورد دیگر

Paolo Lazzeroni is a Fixed-term tenure-track Assistant Professor in the Department of Energy (DENERG) at Politecnico di Torino, Italy. His academic work spans teaching and research in electrical engineering with a focus on sustainable energy systems. He is actively involved in multiple degree programs, including Mechanical, Civil, Chemical, Aerospace, and Building Engineering, where he teaches courses such as Electrical Systems for Buildings and Fundamentals of Electrical Engineering. He also serves as the main teacher for the PhD course on Machine Learning in Energy Applications. Lazzeroni is a member of the College of Civil and Building Engineering and an invited member of the Colleges of Chemical and Materials Engineering and Mechanical, Aerospace, and Automotive Engineering. PhD: Electrical, Electronics, and Communications Engineering (ongoing supervision) Master’s: Building Engineering, Electrical Engineering Bachelor’s: Mechanical, Civil, Chemical, Aerospace, Energy Engineering His research centers on electrical engineering and energy systems, with key interests in renewable energy communities, smart grids, demand-side management, electric vehicle integration, home energy management systems, and district heating and cooling networks. He applies optimization, modeling, and machine learning techniques to enhance the efficiency and sustainability of integrated energy systems. His recent work emphasizes the economic and environmental impacts of flexible demand, smart charging for EVs, and control strategies leveraging AI. His latest publications, spanning 2021–2025, appear in journals like Energy and Buildings and Journal of Cleaner Production , and conferences such as IEEE ICAIGE and ELECTRIMACS. These works reflect a strong trend toward integrating renewable energy with intelligent control and optimization in residential and community-scale systems. Paolo Lazzeroni leads the Erasmus+ funded project DHC Academy - Green and Digital Skills for Smart District Heating and Cooling Networks (2025–2028), serving as Scientific Director. This project highlights his role in securing competitive grants and advancing training in sustainable energy technologies. He supervises PhD student Gianmarco Lorenti, whose thesis focuses on modeling and optimization of integrated community energy systems. Lazzeroni is actively involved in collaborative teaching initiatives such as Challenge@PoliTo by Firms with industry partners including Enel Grids, Aral, and Edison Next, bridging academia and industry. His lab and research team operate within DENERG, contributing to smart energy solutions through interdisciplinary collaboration.

• Smart Grids
• Energy Storage Systems
• Battery Technology
• +۵ مورد دیگر

Gregorio Cappuccino is an Associate Professor of Electronics at the Department of Electronics, Computer Science and Systems (DIMES) at the University of Calabria, Italy. He also serves as CEO of CalBatt, a university spin-off focused on high-efficiency energy storage and electric vehicle (EV) charging systems. His academic career spans over 25 years in R&D, with significant contributions to smart grids, battery charging systems, and analog/digital electronic topologies. Ph.D. in Electronics (University of Calabria/Politecnico of Turin, 1994-1998) Laurea in Computer Science Engineering, Magna cum Laude (University of Calabria, 1986-1992) Prof. Cappuccino's research focuses on smart grid energy flow management , EV and stationary battery charging systems , and high-efficiency electronic circuit design . His work bridges theoretical research with industrial applications, particularly in sustainable energy solutions and power electronics innovations. His scientific achievements include the IEEE Real World Engineering Project Award (2011) , Best Presentation Award at Cleantech Summit (2014) , and two University of Calabria awards in 1999. He serves as associate editor for the Journal of Circuits, Systems and Computers and Journal of Low Power Electronics and Applications , and is an IEEE Senior Member. Prof. Cappuccino's laboratory involvement includes the Nanoelectronics and Microsystems Lab (NML) at DIMES, where he contributes to research and educational initiatives. His spin-off company, CalBatt, has gained international recognition, including participation in COP21 and collaborations with Enel, Italy's largest power company.

• Energy Systems
• Renewable Energy
• Thermal Engineering
• +۵ مورد دیگر

Flavio Caresana is an Associate Professor at the Department of Industrial Engineering and Mathematical Sciences (DIISM) within the Faculty of Engineering at Università Politecnica delle Marche (UNIVPM) in Ancona, Italy. His academic work focuses on energy systems with particular emphasis on sustainable technologies and environmental applications. Professor Caresana's research spans multiple areas of energy engineering, with primary focus on heat pump systems , hydrogen storage technologies , renewable energy integration , and energy recovery systems . His work combines theoretical modeling with experimental validation, particularly in the areas of thermal engineering and sustainable energy systems. He has developed methodologies for multi-objective optimization of energy systems, techno-economic analysis of emerging technologies, and dynamic control strategies for energy storage solutions. His recent publications demonstrate a strong trend toward addressing climate change mitigation through technological innovation. Key research themes include the integration of renewable energy sources into building systems, carbon-neutral urban planning, and the development of efficient energy storage solutions. Professor Caresana's work often bridges theoretical engineering principles with practical applications in the energy sector. Professor Caresana maintains an active research profile with numerous publications in international journals and conference proceedings. His work contributes significantly to the fields of thermal engineering, sustainable energy systems, and environmental technology.

• Operations Research
• Stochastic Programming
• Energy Systems
• +۵ مورد دیگر

Patrizia Beraldi is an Associate Professor of Operations Research at the Department of Mechanical, Energy and Management Engineering (DIMEG), University of Calabria. She has been with the university since 2001, holding roles from Research Fellow to her current position. With over 80 publications, her work focuses on stochastic programming, probabilistic constraints, and their applications in energy systems, healthcare, finance, and logistics. Education: PhD in System Engineering and Computer Science (2000), University of Calabria Degree in Management Engineering (cum laude, 1995), University of Calabria Her research spans solution methods for network flow problems, stochastic programming with recourse, and probabilistic constraint modeling in diverse fields like energy procurement, drone routing, and financial optimization. Recent publications emphasize stochastic bilevel models for energy tariffs and ML-enhanced optimization frameworks. Scientific Awards: Best paper award, 2015 IMA Journal of Management Mathematics Best presentation award, ICEER Conference 2017 Best poster award, ICORES 2018 She supervises numerous master's and PhD students and leads the Financial Engineering and Risk Management Laboratory at DIMEG. Her editorial roles include Associate Editor for TOP , Algorithms , and IMA Journal of Management Mathematics .

Paolo Di Giamberardinoمشاهده پروفایل

دانشیار

• Automatica
• Biomedical Systems
• Epidemic Modeling
• +۹ مورد دیگر

Paolo Di Giamberardino is an Associate Professor in Control Engineering (09/G1, ex ING-INF/04) at the Department of Computer Science and Systems Engineering 'Antonio Ruberti', Sapienza University of Rome. He holds a Master's degree in Electronic Engineering and a PhD in Systems Engineering from the same institution. Currently teaching Digital Control Systems (Master's in Control Engineering) and Fundamentals of Automatic Control (Bachelor's in Information Engineering), his academic career spans over 25 years with significant contributions to university governance as a member of Departmental and Faculty Councils. Education: Master's in Electronic Engineering, PhD in Systems Engineering (Sapienza University of Rome) Research Interests focus on systems analysis and control, with applications to biomedical systems (HIV/AIDS dynamics, portal hypertension diagnosis), epidemic modeling (arboviruses, measles, multi-group populations), optimal control for resource allocation, photonic control systems, and MEMS-based biomedical devices. His work bridges theoretical control methodologies with practical implementations in healthcare, robotics, and energy management. Recent Publications highlight innovative applications in photonic logic gates, advanced epidemic containment strategies, and machine learning integration for medical diagnostics. A unifying theme is the use of control theory to address complex biological and medical challenges. Scientific Awards : 2018 Best Short Paper/Poster Award at ICINCO Academic Contributions include leadership in national research projects (PRIN 2005, 2008), participation in international conferences (WSEAS CSCC, ICINCO), editorial roles (IEEE ICRA Associate Editor, International Journal on Computer Methods in Biomechanics), and extensive supervision of undergraduate and graduate theses. His career demonstrates a commitment to both theoretical advancements and real-world applications in systems and control engineering.