جست‌وجوی استاد و پژوهشگر

• Mechanical Systems Dynamics
• Modal Analysis
• Nonlinear Dynamics
• +۷ مورد دیگر

Alessandro Fasana is a Full Professor at the Department of Mechanical and Aerospace Engineering (DIMEAS) at Polytechnic University of Turin, where he serves as Deputy Coordinator of the College of Mechanical, Aerospace and Automotive Engineering. His academic career spans multiple decades with continuous involvement in doctoral education as Course Coordinator in Mechanical Engineering from 2018-2024 and consistent participation in doctoral colleges since the 27th cycle (2011/2012). Professor Fasana's research focuses on Mechanical Systems Dynamics, Modal Analysis, Nonlinear Dynamics, Rotating Machinery Diagnosis, Structural Health Monitoring, Viscoelastic Materials, Prognostics and Health Management, and Signal Processing. His work bridges fundamental mechanical principles with practical industrial applications, particularly in vibration analysis, structural dynamics, and condition monitoring systems. His research lines specifically include modal analysis and identification of linear dynamic systems, characterization of viscoelastic materials, dynamics of nonlinear systems, and evaluation of defects and residual life of structures. Analysis of his recent publications reveals a strong emphasis on pyroshock testing for aerospace qualification, structural health monitoring, vibration control, and advanced signal processing techniques. His work spans both theoretical developments and practical applications across aerospace, mechanical engineering, and industrial sectors, with particular attention to vibration analysis, structural dynamics, and condition monitoring systems. The research demonstrates increasing integration of computational methods, machine learning, and experimental validation. Professor Fasana has supervised PhD student Luca Viale, whose thesis focused on Pyroshock Testing for aerospace qualification. His research portfolio includes numerous commercial research projects spanning from 2007 to 2023, primarily focused on vibration testing, characterization of damping materials, and structural analysis for diverse industrial applications including aerospace, dental equipment, and power generation systems. He leads the research group 'Dinamica dei sistemi meccanici e identificazione (DIMEAS)' and has been Principal Investigator on multiple commercial research projects related to vibration analysis, structural dynamics, and material characterization. His work connects mechanical engineering fundamentals with practical industrial solutions across multiple sectors including aerospace, automotive, and energy.

• Experimental Fluid Mechanics
• Turbulent Flow Control
• Machine Learning for Flow Control
• +۵ مورد دیگر

Gioacchino Cafiero is an Associate Professor at the Department of Mechanical and Aerospace Engineering (DIMEAS), Polytechnic University of Turin. His research focuses on data-driven experimental fluid mechanics, particularly applying machine learning techniques like deep reinforcement learning and genetic algorithms to control turbulent flows and optimize fluidic actuators. As a member of the Fluid Dynamics research group, he leads projects such as GREENER (drag reduction via sinusoidal riblets) and WINDED (drone wind investigation), while also directing commercial research on friction stress measurement methodologies. Specializes in turbulent flow control and machine learning applications Teaches PhD courses on Machine Learning for Flow Control Supervises students in aerospace engineering programs Recent publications analyze jet turbulence with explainable AI, heat transfer fluctuations in channel flows, and riblet-induced drag reduction. His work bridges aerospace engineering and fluid dynamics, contributing to SDG goals 9 (Industry Innovation) and 13 (Climate Action). Scientific awards include the Learning to Teach (L2T) Open Badge from Politecnico di Torino.

Luigi Berettaمشاهده پروفایل

استاد

• Anesthesiology
• Neuroanesthesia
• Critical Care Medicine
• +۵ مورد دیگر

Luigi Beretta is a Full Professor at Vita-Salute San Raffaele University in Milan, Italy, specializing in Anesthesia and Resuscitation. He serves as Director of the School of Specialization in Anesthesia and Resuscitation, Intensive Care and Pain Therapy, and as Director of the Head-Neck Department at the Istituto Scientifico Universitario San Raffaele. Additionally, he is the Head of the General Anesthesia and Neuroresuscitation Unit at the San Raffaele Hospital in Milan. Dr. Beretta earned his medical degree with highest honors from the University of Milan in 1981-1982, followed by specialization in Anesthesiology and Resuscitation with honors in 1984-1985. His clinical career has been primarily at the San Raffaele Hospital in Milan, where he has progressively taken on leadership roles since 1983. Professor Beretta's research focuses on critical areas of anesthesiology and neurocritical care. His primary interests include acute brain injury management, intracranial hypertension, subarachnoid hemorrhage, neuroanesthesia, neuroprotection, and perioperative care in general surgery. His work has significantly contributed to understanding traumatic brain injury through the CENTER-TBI study and other international collaborations. Analysis of his recent publications reveals a strong focus on traumatic brain injury outcomes, perioperative risk assessment, and neurocritical care. His work spans from fundamental physiological monitoring (like end-tidal CO2 effects) to complex predictive modeling for postoperative complications and long-term outcomes after brain injury. The CENTER-TBI study features prominently in his recent work, indicating his leadership in European neurotrauma research. Dr. Beretta serves on the editorial boards of several prestigious journals including the Journal of Emergencies Trauma & Shock International, International Journal of Critical Illness and Injury Science, The Open Neurosurgery Journal, and Journal of Clinical Monitoring and Computing. He is also a reviewer for Intensive Care Medicine, Minerva Anestesiologica, and Tumori Journal. As an educator, Professor Beretta has taught across multiple disciplines at Vita-Salute San Raffaele University since 1999, including Medicine and Surgery, Nursing, Dental Hygiene, and Physiotherapy programs. He has been instrumental in developing specialized courses in anesthesia, resuscitation, and pain management. His leadership extends to directing the School of Specialization in Anesthesia and Resuscitation and serving as Principal Investigator for numerous multicenter clinical trials, particularly in the field of cerebral protection. Professor Beretta founded the Perioperative Italian Society (P.O.I.S.) and is an active member of several professional organizations including the Italian Society of Anesthesia, Analgesia, Resuscitation and Intensive Care (SIAARTI), the Society of Critical Care, and the European Brain Injury Consortium (EBIC).

Francesco Lecceseمشاهده پروفایل

دانشیار

• Environmental Technical Physics
• Building Physics
• Energy-efficient Buildings
• +۵ مورد دیگر

Francesco Leccese is Associate Professor of Environmental Technical Physics at the University of Pisa’s Department of Energy, Systems, Land and Building Engineering and serves as Vice-Rector (Pro-Rettore) for Construction and Real Estate since 2022. He has been a full-time faculty member since 2006 and leads the Lighting and Acoustics Laboratory. Education PhD in Energetics, University of Pisa, 2002 Laurea (MSc) in Civil Engineering (Buildings), University of Pisa, 1997 Research Interests Professor Leccese’s research spans the entire spectrum of Environmental Technical Physics . His core themes include: Physical-technical performance of opaque and glazed building-envelope components Thermal, visual and acoustic comfort in indoor environments Energy performance of buildings and HVAC systems Human exposure to physical agents at workplaces Environmental pollution from anthropogenic and natural sources Smart monitoring, IoT and data-driven control for energy savings He combines advanced experimental measurement campaigns with modelling and simulation, leading to over 200 scientific publications and a co-owned national patent for an innovative illuminating device for radiodiagnostic stations. Recent Publication Trends Between 2023 and 2025 his work has concentrated on urban overheating mitigation , textile-based solar shading , thermal resilience of building envelopes , and integrated indoor-environmental-quality (IEQ) assessment . These studies often merge on-site infrared thermography, sensor networks and occupant-centred data analysis to optimise both energy demand and human comfort. Scientific Awards & Patents Co-owner, National patent for an illuminating device for radiodiagnostic reporting stations Institutional Service & Grants President, Joint Council of the Master’s programmes in Structural & Building Engineering and Civil Infrastructure & Environmental Engineering (since 2021) Member, Doctoral School of Energy, Systems, Land and Construction Engineering (since 2015) Member, School of Engineering Council (since 2022) Head, Lighting and Acoustics Laboratory, School of Engineering (since 2006) Laboratory & Teams Professor Leccese directs the Lighting and Acoustics Laboratory at the School of Engineering, where interdisciplinary teams of researchers and graduate students conduct experimental and simulation studies on lighting, acoustics and environmental physics.

Aris Anagnostopoulosمشاهده پروفایل

استاد

• Stochastic Analysis of Dynamic Processes
• Modeling and Mining in Social Networks
• Data Mining and Algorithms for the WWW
• +۳ مورد دیگر

Aris Anagnostopoulos is a Professor at the Department of Computer, Control, and Management Engineering (Dipartimento di Ingegneria Informatica, Automatica, e Gestionale) at Sapienza University of Rome since April 2012. His academic journey includes a Marie-Curie fellowship at Sapienza University and a postdoctoral position at Yahoo! Research in Santa Clara, CA. His educational background includes: Ph.D. in Computer Science, Brown University, Providence, RI Sc.M. in Applied Mathematics, Brown University, Providence, RI Sc.M. in Computer Science, Brown University, Providence, RI Diploma in Computer Engineering and Informatics, University of Patras, Patras, Greece Professor Anagnostopoulos's research focuses on the design and analysis of algorithms with applications in data mining and data science. His work spans stochastic analysis of dynamic processes, social network modeling and mining, WWW algorithms, randomized and approximation algorithms, information retrieval, and information security. His research has evolved to address contemporary challenges in federated learning, knowledge graphs, and ethical AI considerations in recommendation systems. His recent publications demonstrate a strong trend toward addressing real-world applications of data science and machine learning, particularly in healthcare, social media analysis, and privacy-preserving techniques. His work shows increasing interdisciplinary collaboration, especially with medical researchers, while maintaining strong theoretical foundations in algorithm design. Among his notable scientific awards are: Google Focused Research Award (1 of 6 PIs), 1M USD Junior Fellow, School for Advanced Studies, Sapienza University of Rome Personal research grant, Swedish Research Foundation, 200K euro, 2011 (declined) Best Poster Award, 4th International Conference on Web Search and Data Mining (WSDM 2011) Marie Curie International Incoming Fellowship, 160K euro, 2010 Paris Kanellakis Fellowship, Brown University Runner Up, Best Paper Award, 14th International World Wide Web Conference 2005 (WWW 2005) Professor Anagnostopoulos serves as the academic responsible for mobility (RAM) for the Data Science master's program and has developed comprehensive teaching materials for data science education. He teaches courses including Social Networks and Online Markets, Algorithmic Methods of Data Mining, Data Mining, and Algorithm Design. His teaching approach emphasizes both theoretical foundations and practical applications, with extensive use of AWS and Python-based tools to prepare students for industry certification.

Alessandro Di Giorgioمشاهده پروفایل

دانشیار

• Smart grids and micro-grids control
• Model Predictive Control for energy systems
• Integration of renewable generation and storage
• +۳ مورد دیگر

Alessandro Di Giorgio is Associate Professor of Automatic Control at the Department of Computer, Control and Management Engineering Antonio Ruberti (DIAG) , Sapienza University of Rome, where he teaches courses on Automation, Network Control and Handling, and Modeling & Simulation. He coordinates the Smart Energy Research Group of the Consorzio per la Ricerca nell’Automatica e nelle Telecomunicazioni and acts as scientific referent of the university start-up Applied Research to Technologies . Education Ph.D. in Systems Engineering, Sapienza University of Rome, 2010 M.Sc. in Physics (110/110 cum laude), Sapienza University of Rome, 2005 Research interests revolve around advanced control architectures for future power systems, with particular emphasis on smart-grid planning and real-time operation , model-predictive control of micro-grids , large-scale integration of renewable generation and storage , stochastic optimisation of electric-vehicle charging infrastructures , and cyber-physical security against malicious attacks . His work combines systems theory with practical implementations validated within several European and national projects. Recent publications (2023-24) demonstrate a clear trend toward data-driven and stochastic model-predictive strategies that coordinate millions of grid-edge resources—electric vehicles, batteries, renewable plants—while guaranteeing economic efficiency, reliability and resilience of distribution networks. Projects & Technology Transfer Scientific responsible in 10 EU-funded research projects on smart grids and electromobility Principal Investigator of Italian academic and Industria 2015 programmes Co-founder & scientific reference, start-up Applied Research to Technologies (technology transfer on EV-charging optimisation) He is member of the Networked Systems Cybersecurity initiative and serves as reviewer and organiser for major IEEE conferences on power systems and control.

Alessandro Giuseppiمشاهده پروفایل

استادیار

• Intelligent Control Systems
• Network Control
• Smart Networks
• +۴ مورد دیگر

Alessandro Giuseppi is an Assistant Professor in Tenure Track at the University of Rome La Sapienza's Department of Computer, Control, and Management Engineering (DIAG). He leads research in intelligent control systems and smart networks at the Network Control Laboratory, while serving as CTO of the startup Automation Intelligence and Control (AICO). As Associate Editor for IEEE Transactions on Automation Science and Engineering and International Journal of Control, Automation, and Systems , he bridges academic research with practical applications. M.Sc. & Ph.D. in Automatic Control from La Sapienza National Scientific Qualification for Associate Professor (2023) Active in EU/National funded projects since 2016 His research spans intelligent systems, network control, and AI integration in automation. Publications emphasize federated learning, deep learning applications, and control theory advancements across domains like autonomous vehicles, healthcare, and industrial automation. Key awards include the Minerva Prize (twice) and Telespazio's T-TeC. Recent publications address: (1) Federated learning with adaptive topologies, (2) Healthcare AI for diabetes management and portal hypertension diagnosis, (3) Industrial AI for manufacturing quality control, and (4) Smart network control in 5G/6G telecommunications. 2023 Premio Minerva - Best Postdoctoral Researcher 2021 Premio Minerva - Best PhD Candidate 2021 Best ETRI Journal Paper 2020 Telespazio Technology Contest Winner As course instructor, he teaches Intelligent and Hybrid Control, Automazione, and Laboratorio di Automatica. His leadership extends to co-founding startup AICO and collaborating with CRAT research consortium on Horizon Europe projects.

Antonio Randazzoمشاهده پروفایل

پژوهشگر

• Volatile organic compounds
• Biogeochemical processes
• Greenhouse gases
• +۵ مورد دیگر

Antonio Randazzo is a Junior Researcher and concurrent Ph.D. student in Earth Sciences at the University of Florence's Department of Earth Sciences since 2019. His work bridges environmental geochemistry and waste management through investigations of volatile organic compounds (VOCs) in volcanic, hydrothermal, and landfill systems. His academic foundation includes: B.Sc in Geological Sciences (2015): Thesis “Laboratory experiments on the production of volatile organic compounds at hydrothermal conditions: A review” M.Sc in Geological Sciences and Technologies (2018): Thesis “Degradation of volatile organic compounds (VOCs) in landfill cover soils. Case Studies: Pinto (Madrid), Zurita (Fuerteventura), La Dehesa (El Hierro)” Randazzo's research examines biogeochemical processes controlling VOC composition in shallow soil gases (≤60 cm depth), with critical implications for air quality, greenhouse gas dynamics, and waste management. His fieldwork spans volcanic regions and international landfill sites, revealing how microbial and chemical mechanisms govern VOC fate in diverse environments. Current projects focus on understanding VOC behavior in gas diffuse seepage areas to develop predictive environmental models. Funded through his Junior Researcher position, his doctoral work “Biogeochemical processes affecting volatile organic compounds (VOCs) in volcanic and hydrothermal systems and municipal solid waste landfills” involves active collaboration with Spanish institutions at multiple field sites. Supervised by Professor Franco Tassi and Doctor Stefania Venturi, he integrates laboratory experiments with real-world environmental monitoring. While no formal awards are documented in available sources, his research demonstrates practical applications for landfill engineering and volcanic hazard assessment. As a developing researcher, he does not currently supervise students but contributes to knowledge transfer through his specialized field investigations and methodological approaches to soil gas analysis.

• Aerospace Engineering
• Turbomachinery
• Fluid Dynamics
• +۳ مورد دیگر

Matteo Dellacasagrande serves as a Researcher at the Department of Mechanical, Energy, Management and Transport Engineering (DIME) within the Polytechnic School of the University of Genoa. His academic appointments include membership on the Joint Teacher-Student Commission and teaching responsibilities for advanced courses in aircraft propulsion systems. His research focuses on fluid dynamics in turbomachinery , particularly low-pressure turbine optimization, separated flow modeling, and aircraft engine design. Key methodologies include computational fluid dynamics, experimental validation using large databases, and statistical modeling techniques like Bayesian Lasso for flow prediction. His work bridges theoretical fluid mechanics with practical aerospace engineering applications. Recent publications demonstrate consistent focus on turbine blade aerodynamics (2024-2025), with significant contributions to loss mechanism analysis in low-pressure turbines and novel approaches to modeling separation bubbles. His research integrates experimental data with advanced statistical methods to improve prediction accuracy in complex flow scenarios. Teaching activities: AIRCRAFT ENGINES (Master's Degree in Mechanical Engineering - Energy and Aeronautics) AIRCRAFT PROPULSION (Master's Degree in Mechanical Engineering - Energy and Aeronautics) DESIGN OF MACHINES AND ENERGY SYSTEMS Professional engagement: Member of the Joint Teacher-Student Commission at the Polytechnic School, with office hours by appointment via institutional email.

• Structural Mechanics
• Dynamical Systems
• Space Engineering
• +۳ مورد دیگر

Matteo Tomasi is a PhD student and research fellowship holder at the University of Trento , Department of Industrial Engineering. His work focuses on structural mechanics, dynamical systems, and space engineering, particularly through the development of computational tools like TrussMe-Fem for symbolic-numerical analysis and modeling of spacecraft mechanisms. His research involves the validation of release mechanisms for space missions such as LISA Pathfinder , addressing challenges in geodesic motion injection, friction effects, and metallic adhesion. Publications span applied mechanics, finite element methods, and precision engineering for aerospace systems. Recent publications highlight trends in space mechanism dynamical modeling, structural simulation, and friction analysis, with applications to missions like LISA (Laser Interferometer Space Antenna). His work bridges theoretical computation with experimental validation for in-flight spacecraft performance prediction.

• Computer Vision
• Human-Computer Interaction
• IoT
• +۶ مورد دیگر

Roberto Vezzani is an Associate Professor at the University of Modena and Reggio Emilia's Enzo Ferrari Department of Engineering, specializing in information processing systems (ING-INF/05). Previously Director of the Artificial Intelligence Research and Innovation Center (2018-2021), he holds a PhD in Information Engineering from the same institution. As senior member of AimageLab, he coordinates research on human-computer interaction using multi-sensor systems. His research spans: Computer vision for IoT and video surveillance Motion detection and action classification 3D vision with depth/thermal/event cameras Sensor fusion and automatic video annotation He leads competitive projects funded by Toyota, Ferrari, and EU programs, focusing on industrial applications of computer vision. Recent publications (2024-2025) demonstrate strong focus on 3D pose estimation, robot perception, and efficient embedded vision systems, with applications in automotive, robotics, and UAVs. Awards include: Best Paper - ICPR 2020 (IAPR) Best Paper - VISAPP 2020 Best Paper - THEMIS'2008 Industrial collaborations feature multi-year projects with Ferrari (RedVision lab), Toyota Europe, and Tetra Pak. Teaching includes courses on Computer Architecture, IoT systems, and industrial AI.

• Cardiology
• Interventional Cardiology
• Cardiovascular Diseases
• +۳ مورد دیگر

Giulio Stefanini serves as Associate Professor of Cardiology at Humanitas University and Clinical and Interventional Cardiologist at IRCCS Humanitas Research Hospital and Humanitas S.Pio X Hospital in Milan. He leads clinical research for the Cardio Center at Humanitas Research Hospital, directing studies on complex cardiovascular interventions and outcomes. His educational background includes: Medical degree from Sapienza University of Rome PhD in Experimental Medicine MSc in Health Economics, Outcomes and Management in Cardiovascular Sciences from London School of Economics Professor Stefanini's research spans interventional cardiology with emphasis on coronary artery disease, transcatheter valve procedures, and antiplatelet therapy optimization. He integrates advanced imaging techniques like cardiac MRI and intravascular ultrasound with health economics analysis to improve procedural outcomes and patient management. His work frequently addresses high-bleeding-risk scenarios and complex vascular access challenges. Recent publications demonstrate concentrated focus on TAVR innovations, drug-coated balloon applications, AI-driven risk prediction, and in-silico procedural simulation. Key trends include personalized antiplatelet duration, mitral valve interventions, and registry-based evidence for complex coronary lesions. His scientific recognition includes: Fellow of the European Society of Cardiology (FESC) William Harvey Award from Italian Society of Cardiology Health Young Physician Leaders (YPL) programme nomination Multiple research grants from ESC and EAPCI Professor Stefanini has secured competitive funding including the Swiss National Science Foundation's SPUM grant and EAPCI research support. His leadership in the Cardio Center coordinates multicenter registries like HOSTILE and ULTRA-BIFURCAT. Current projects emphasize procedural standardization, minimalistic interventional approaches, and cardiovascular safety of emerging therapies. He directs the Cardio Center's clinical research activities, overseeing trials in complex PCI, structural heart disease, and cardiovascular outcomes research.

• Forensic Statistics
• Medical Statistics
• Machine Learning
• +۲ مورد دیگر

Giulia Cereda serves as Associate Professor in the Department of Statistics, Computer Science, and Applications 'G. Parenti' (DiSIA) at the University of Florence since 2025. Her academic journey includes prior roles as Fixed-term Researcher (RTD-b, 2022-2024), Research Fellow (2021-2022), and Swiss National Science Foundation Postdoc Mobility Fellow (2019-2021) at Leiden University and University of Florence. She holds a Joint PhD in Statistics from Leiden University and University of Lausanne (2011-2016), complemented by Master's and Bachelor's degrees in Mathematics from the University of Milan. Her research spans forensic statistics with focus on rare type match problems in DNA evidence evaluation, medical statistics applied to SARS-CoV-2 pandemic modeling, and machine learning implementations for biogeographical ancestry prediction. Recent publications demonstrate methodological innovations in Bayesian approaches for forensic evidence, compartmental modeling of epidemic dynamics, and supervised learning applications in population genetics. Analysis of her 14 most recent publications (2020-2025) reveals dual research thrusts: (1) forensic statistics addressing DNA mixture interpretation and rare haplotype matching through Bayesian frameworks, and (2) epidemiological modeling of smoking dynamics and SARS-CoV-2 transmission using compartmental models with uncertainty quantification. Her work bridges theoretical statistics with practical public health and forensic applications, frequently employing machine learning for complex prediction tasks. Supported by the Swiss National Science Foundation for postdoctoral research (2019-2021), she has contributed to pandemic response through Tuscan regional modeling and school-based screening strategies. Current office hours are Thursdays 3:00-4:00 PM by appointment, with ongoing research in forensic identification systems and epidemic forecasting methodologies.