جست‌وجوی استاد و پژوهشگر

• Particle Physics
• Astroparticle Physics
• Dark Matter
• +۷ مورد دیگر

Roberto Iuppa is an Associate Professor at the Department of Physics, University of Trento. His research focuses on particle physics, astroparticle physics, and high-energy collider experiments, with significant contributions to the ATLAS experiment at CERN's LHC. He leads studies on Higgs boson physics, dark matter candidates, and quantum chromodynamics phenomena. His work includes developing detectors like the High-Energy Particle Detector (HEPD) for space-based missions such as CSES-02, and analyzing gravitational wave astronomy via multimessenger observations. Academic roles include teaching advanced courses on particle physics, gravitational wave astronomy, and the interdisciplinary history of physics and mathematics. His experimental work emphasizes precision measurements in top quark interactions, vector boson scattering, and searches for beyond-Standard-Model particles such as vector-like leptons and magnetic monopoles. Recent projects involve analyzing 13 TeV proton-proton collision data from the LHC and advancing detector technologies for future high-luminosity runs. Key research areas: Collider physics, detector development, dark matter, and space-based astrophysics Lead responsibilities: ATLAS collaboration physics analysis, HEPD satellite instrumentation Notable contributions: Over 50 peer-reviewed articles in 2024-2025 alone, focusing on precision Higgs measurements and new physics searches His teaching integrates computational methods with physics fundamentals, preparing students for interdisciplinary work in machine learning for data analysis and quantum computing applications in physics simulations.

• Particle Physics
• Astrophysics
• Cosmic Rays
• +۵ مورد دیگر

Riccardo Nicolaidis is a PhD student in Physics and a Tutor at the Department of Civil, Environmental and Mechanical Engineering, University of Trento. He contributes to interdisciplinary teaching in the Department of Information Engineering and Computer Science, focusing on physics fundamentals and their integration with computer science applications such as machine learning for data analysis and computational quantum mechanics. Key Research Areas: Particle Astrophysics, Cosmic Rays, Space-based Detectors (e.g., HEPD-01, Alpha Magnetic Spectrometer), Solar Energetic Particles, and Nuclear Physics. His work includes analyzing cosmic radiation using detectors on satellites like CSES-01 and CSES-02, studying solar cycle effects on cosmic nuclei, and developing compact particle detectors for space missions like NUSES. He collaborates with institutions on projects involving scintillation counters, gamma-ray burst analysis, and low-energy particle observations.

Bartolomeo Montrucchioمشاهده پروفایل

استاد

• Computer Vision
• Quantum Computing
• Image Processing
• +۵ مورد دیگر

Bartolomeo Montrucchio is a Full Professor of Information Processing Systems (ING-INF/05) at the Department of Control and Computer Engineering (DAUIN) of the Polytechnic University of Turin. He is a member of the Interdepartmental Center Photonext - PoliTo Interdepartmental Center on Applied Photonics and serves as deputy director at the Interuniversity Center of Regional Interest for the Training of Secondary School Teachers (CIFIS) since July 2012. Additionally, he has held an adjunct professor position at the University of Illinois at Chicago during July 2008. Professor Montrucchio's research spans several cutting-edge areas with a primary focus on quantum computing, computer vision, and sensor networks. His work encompasses image processing, scientific visualization, parallel and distributed systems, and wireless sensor networks. He actively contributes to European research initiatives including the EQUO (European QUantum ecOsystems) project as Scientific Responsible. His research bridges theoretical computer science with practical applications across multiple industries. His publication record shows a strong trajectory toward quantum technologies, with numerous recent publications focusing on quantum machine learning, quantum algorithms for financial applications, and quantum applications in cybersecurity. His work demonstrates increasing emphasis on practical implementations of quantum computing in real-world scenarios, particularly in industrial settings and telecommunications. Best student paper award at BIOSIGNAL2002, conferred by EURASIP, Italy (2002) Associate Editor of IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2019-present) Professor Montrucchio actively supervises numerous PhD students working on quantum computing applications across various domains including finance, cybersecurity, traffic optimization, and industrial use cases. His teaching portfolio includes courses on Quantum Computing, Parallel and Distributed Computing, and Image Processing and Computer Vision across multiple degree programs including Computer Engineering, Biomedical Engineering, and Quantum Engineering. He leads multiple research projects funded by both competitive calls and commercial contracts, with a significant focus on quantum technologies since 2019. His patent portfolio includes several inventions related to tire manufacturing processes and visual rehabilitation for telemedicine.

• Applied Artificial Intelligence
• Communication Networks
• Co-simulation Infrastructure
• +۱۳ مورد دیگر

Luca Barbierato is a Fixed-term Assistant Professor at the Department of Control and Computer Engineering (DAUIN), Politecnico di Torino, specializing in applied artificial intelligence, cybersecurity, and co-simulation infrastructures for integrated energy systems. He actively contributes to research in edge computing, IoT, and sustainable energy technologies. Research Focus: AI applications in energy systems, secure IoT infrastructures, and co-simulation frameworks Teaching Roles: Invited PhD teaching component (2025/26), teaching assistant across multiple programs His recent publications address critical areas including OpenTitan-based security controllers, urban building energy modeling, and distributed power system co-simulation. Barbierato's work aligns with SDG Goals 7 (Affordable Energy), 9 (Innovation Infrastructure), and 11 (Sustainable Cities). Notable scientific recognition includes the Learning to Teach (L2T) badge from Politecnico di Torino.

Enrico Tronciمشاهده پروفایل

استاد

• Model Checking
• Cyber-Physical Systems
• Software Engineering
• +۷ مورد دیگر

Enrico Tronci is a Full Professor in the Department of Computer Science at Università degli Studi di Roma La Sapienza , Italy. His research focuses on model checking, formal verification, and synthesis of cyber-physical systems, with applications to mission-critical and safety-critical domains such as space systems, smart grids, and healthcare. He leads the Model Checking Lab (MCLab) and has coordinated numerous national and international research projects funded by organizations including the European Community (EC), European Space Agency (ESA), and Italian Ministry of University and Research (MUR). Research Highlights : Automatic control software synthesis from closed-loop specifications Model checking algorithms for hybrid and stochastic systems Technology transfer in sectors like energy, transportation, and aerospace Teaching : Undergraduate: Software Engineering (Fall 2024) Graduate: Automatic Verification of Intelligent Systems (Fall 2024), Verification and Validation of Intelligent Systems (Spring 2025) Scientific Awards : Recipient of the IBM-Italia 1987 prize for best thesis in Artificial Intelligence Publications Trends : 2024: Scaling up model checking for cyber-physical systems via HPC 2023: Hormonal impact on behavior and fault-tolerant sensor deployments 2021-2022: In silico clinical trials, smart grid management, and scenario enumeration 2020: AI-guided diabetes patient modeling and forensic psychiatry applications Software Tools : QKS (Quantized Kontrol Synthesizer) NashMV (MAD systems verification) CMurphi (Hybrid systems model checker) FHP-Murphi (Probabilistic verification) BSP (Boolean symbolic programming)

• Climate Science
• Meteorology
• Extreme Weather Events
• +۳ مورد دیگر

Leonardo Aragão is a Researcher at the CMCC Foundation (Euro-Mediterranean Center on Climate Change Foundation) in Bologna, Italy, affiliated with the Institute for Earth System Predictions and Earth System Modelling and Data Assimilation Division. His work bridges meteorological research and climate prediction, focusing on high-impact environmental phenomena. Research Focus Dr. Aragão specializes in analyzing cyclonic activity impacts on climate variability and associated environmental disasters including floods, landslides, windstorms, and storm surges. His methodology integrates atmospheric modelling with advanced computational techniques for processing meteorological data across scales. Current research emphasizes machine learning-driven climate downscaling for seasonal forecasting, leveraging expertise in data quality control, visualization, and extreme event detection systems. Professional Profile With extensive involvement in European research projects, he maintains dual expertise in theoretical meteorology and practical data science. His computational proficiency spans multiple programming languages for handling diverse climate datasets, from localized observations to global models. Teaching experience across meteorological disciplines informs his approach to model development and interdisciplinary collaboration within climate science. Scientific Recognition No specific awards or fellowships are documented in the provided materials. Academic Contributions While student mentorship details are unreported, his role includes developing analytical frameworks adopted in climate hazard assessment. Grant funding specifics remain undisclosed in available sources. Research Infrastructure As core personnel in the Earth System Modelling and Data Assimilation Division, he contributes to CMCC's High Performance Computing Center initiatives, focusing on enhancing predictive capabilities for climate extremes through integrated modelling systems.

Andrea Fronzetti Colladonمشاهده پروفایل

استاد

• Network Science
• Natural Language Processing
• Machine Learning
• +۸ مورد دیگر

Andrea Fronzetti Colladon is a Professor of Business Leadership and Intelligence at Roma Tre University, where he leads the Business and Collective Intelligence Lab. His academic career bridges rigorous research with practical business applications, focusing on how connections drive value and innovation in complex organizational environments. His research interests span Network Science, Natural Language Processing, Machine Learning, Social Network Analysis, Text Mining, Brand Analytics, Change Management, and Executive Coaching . He combines methods from network science and computational linguistics with theoretical frameworks from social sciences to advance understanding of management and human behavior. His work has practical applications in brand analytics, change management, and organizational transformation. Developed the Semantic Brand Score methodology for brand performance analysis Created the OCEAN Change Management Model for organizational transformations Authored influential books including Leading Meaningful Change and Social Network Analysis and Text Mining for Big Data Collaborates with leading institutions including MIT Center for Collective Intelligence, Northeastern University, and Université du Québec à Montréal His recent publications reveal a strong trend toward integrating text mining and network analysis to solve business problems, particularly in brand management, venture capital funding, and organizational change. His work consistently demonstrates how linguistic patterns and network structures can predict business outcomes and inform strategic decisions. Among his notable recognitions is the 2020-2021 Best Paper award from the International Journal of Forecasting . His research has been published in high-impact journals and books with publishers including Edward Elgar, Springer, and Routledge. As an educator and consultant, Fronzetti Colladon develops specialized courses on Social Network Analysis, Text Mining, Change Management, Problem Solving, and Business Analytics. He has worked with major organizations including TIM, Genpact, Enel, SACE, Renault Italia, Saatchi & Saatchi, Sky Italia, and GalaxyAdvisors, translating academic insights into practical business solutions. The Business and Collective Intelligence Lab he leads serves as a hub for interdisciplinary research, bringing together computer scientists, linguists, social scientists, and business experts to decode complexity and empower decision-making through innovative methodologies.

• Stochastic Models
• Machine Learning
• Artificial Intelligence
• +۴ مورد دیگر

Fabrizio Durante is a Full Professor of Probability and Mathematical Statistics at the University of Salento, Department of Mathematics and Physics "Ennio De Giorgi" in Lecce, Italy. Previously, he served as Full Professor of Mathematical Methods for Economics, Finance, and Actuarial Sciences from December 2016 to October 2024. Durante earned his PhD in Mathematics from the University of Lecce and completed his Habilitation in Mathematics at Johannes Kepler University of Linz in 2010. His academic career includes positions as Assistant Professor (2010-2014) and Associate Professor (2015-2016) of Statistics at the Free University of Bozen-Bolzano. His research focuses on stochastic methods and models for complex systems and machine learning, with significant applications in quantitative risk management across hydrology, environmental sciences, economics, and finance. Durante is particularly renowned for his contributions to copula theory, co-authoring the monograph "Principles of Copula Theory" with Carlo Sempi. Durante currently serves as national coordinator of the Italian MIUR project "Stochastic Modeling of Compound Events" (2023-25) and is affiliated with the ICSC National Research Center in High Performance Computing, Big Data and Quantum Computing. STAHY Best Paper Award 2015 from the International Commission on Statistical Hydrology (jointly with G. Salvadori and C. De Michele) Durante maintains significant editorial responsibilities as associate editor of "Dependence Modeling" and area editor of "Fuzzy Sets & Systems" and the "International Journal of Approximate Reasoning." He is co-chair of the "Dependence Models and Copulas" team of the ERCIM Working Group on Computational and Methodological Statistics. His expertise is regularly sought as an invited plenary speaker at international conferences in stochastic methods and dependence modeling.

• Aerospace Engineering
• Flight Mechanics and Control
• Airworthiness and Certification
• +۶ مورد دیگر

Manuela Battipede is Associate Professor of Flight Mechanics & Control at the Politecnico di Torino , Department of Mechanical and Aerospace Engineering (DIMEAS). Since 2002 she has led research and teaching in aerospace guidance, airworthiness, neural-network-based virtual sensors, and trajectory optimisation, coordinating EU H2020 and Clean Sky projects, industrial airworthiness certification contracts, and supervising PhD students in aerospace engineering. Education & Academic Career Joined Politecnico di Torino as a confirmed Associate Professor (Prof.ssa Associata Confermata). Visiting Researcher, West Virginia University, USA (April–September 2002). Research Interests Her work integrates control theory , flight mechanics , and artificial-intelligence-based sensing to enhance safety and efficiency of air and space vehicles. Key themes include: 4-D trajectory optimisation for climate-neutral aviation. Certifiable virtual air-data systems using neural networks. Flutter suppression and intelligent flight control for fixed-wing and rotary-wing aircraft. Low-thrust orbital mechanics, collision avoidance, and end-of-life disposal for satellites. Lighter-than-air platforms and VTOL hybrid drones for earth-observation and fire-monitoring missions. Scientific Awards & Recognition PoCN – Proof of Concept Network (2015), AREA Science Park, Italy. Regular evaluator for SESAR Joint Undertaking, EU H2020, and European Commission programmes. Doctoral Advising & Funding Since 2011 she has served on the PhD board of the Aerospace Engineering doctorate at Politecnico di Torino, currently supervising: Giorgio Antonio Orlando (39th cycle, 2023–) Gabriele Tarascio (39th cycle, 2023–) She has been Scientific Director of >20 competitively funded projects (EU Clean Sky MIDAS, ESA, MIUR-PRIN, EASA certification contracts, etc.) and commercial consultancy contracts exceeding €3 M. Laboratories & Teams Battipede leads the Modelling, Simulation and Control of Aircraft research group at DIMEAS, managing real-time hardware-in-the-loop test rigs, CubeSat development platforms, and an integrated multi-aircraft simulation laboratory for education and industrial validation.

• 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.

Michele Ferlautoمشاهده پروفایل

دانشیار

• Aerospace propulsion
• Aero-thermal design
• Computational fluid dynamics
• +۴ مورد دیگر

Michele Ferlauto serves as an Associate Professor in the Department of Mechanical and Aerospace Engineering (DIMEAS) at the Polytechnic University of Turin. His academic career spans over a decade, during which he has consistently contributed to doctoral education in Aerospace Engineering from the 27th cycle (2011/2012) through the current 40th cycle (2024/2025). He holds teaching responsibilities for Advanced Aerospace Propulsion, Computational Fluid Dynamics of Propulsion Systems, and Fluid Dynamics of Turbomachinery courses at the master's level, along with contributions to the Space Environment, Access and Operations course in Engineering and Management. Professor Ferlauto's research focuses on aerospace propulsion systems with particular emphasis on fluid dynamics phenomena. His primary research interests include aerospace propulsion, aero-thermal design, computational fluid dynamics, nonlinear inverse problems, and turbomachinery design. His work spans both theoretical and experimental aspects of propulsion systems, with extensive publications in high-impact aerospace journals. His research lines encompass Active Flow Control of propulsive systems and Thrust Vectoring, Compressor instabilities simulation and control, Rotating stall in compressors, gas turbine engine testing, control and simulation, Optimal Aerothermal design of Turbomachinery components, and Solution of inverse problems using Adjoint methods. Analysis of his recent publications reveals a strong concentration on fluidic thrust vectoring techniques, particularly through differential throttling in aerospike nozzles. His work demonstrates a sophisticated integration of computational fluid dynamics with experimental validation, showing increasing incorporation of artificial intelligence techniques for flow control and system diagnostics. The research trajectory indicates a progression from fundamental fluid dynamics studies toward more applied aerospace propulsion systems with practical implementation considerations. Professor Ferlauto actively supervises doctoral students including Jehangir Hassan, Chengxin Liu, and Emanuele Resta, whose research focuses on fluidic thrust vectoring, non-invasive state recognition technology, and advanced propulsion systems. He has led significant research projects including AEROJET (2007-2011), a numerical and experimental environment for simulating conventional and innovative propulsion systems, and commercial consulting projects related to aerodynamics and heat exchange. His research group, the Aerospace Propulsion Group at DIMEAS, maintains strong connections with industry partners and contributes to sustainable propulsion technologies aligned with UN Sustainable Development Goals 7 (Affordable and clean energy), 11 (Sustainable cities and communities), and 13 (Climate action).

Michael Lodiمشاهده پروفایل

استادیار

• Computer Science Education
• Computational Thinking
• K-12 Education
• +۵ مورد دیگر

Michael Lodi is a Junior Assistant Professor (fixed-term) in the Department of Computer Science and Engineering at the University of Bologna since February 2023, specializing in Informatics (INFO-01/A). Previously, he served as a Research Fellow and Adjunct Professor of Computer Science Education at the same department from November 2019 to 2022. His academic credentials include a Ph.D. in Computer Science and Engineering (2020, University of Bologna, grade: excellent), a Master's degree in Computer Science (Theoretical CS, cum laude, 2014), and a Bachelor's degree in Computer Science (cum laude, 2010), all from the University of Bologna. He also holds a High School teaching license in Computer Science (2015, grade: 99/100). Dr. Lodi's research centers on integrating Computer Science and Computational Thinking into K-12 education, with intense focus on teacher training and professional development. He pioneered studies on "Computer Science Growth Mindset" and expands his work to cryptography education, High Performance Computing (HPC), and quantum computing pedagogy. His research bridges theoretical computer science with practical classroom applications, emphasizing scalable teacher development models. His notable recognitions include: Two-year post-doc research grant for CS Education (2019-2021) Italian Ministry of Education PhD grant (2016-2019) 3rd place at University of Bologna's Three Minute Thesis competition (2018) AICA-Rotary International 'ETHICS' prize for master's thesis (2015) AILA Price 3+2 for bachelor's thesis in Logic (2011) High School Italian Excellence monetary award (2007) Dr. Lodi maintains active research collaborations including membership in INRIA Focus team (Sophia Antipolis, 2017-present) and a visiting researcher position at University of Canterbury's Computer Science Education Research Group (2018-2019). His work integrates international perspectives with Italian educational frameworks to advance computational thinking curricula.

Fabrizio Silvestriمشاهده پروفایل

استاد

• Artificial Intelligence
• Machine Learning
• Web Search
• +۷ مورد دیگر

Fabrizio Silvestri is a Full Professor at Sapienza University of Rome's Department of Computer, Automatic and Management Engineering (DIAG), where he coordinates the Ph.D. program in Data Science. He leads the RSTLess research group focusing on Robust, Safe, and Transparent Deep Learning. Research interests: Artificial Intelligence, Machine Learning, Web Search, Natural Language Processing, Information Retrieval, Graph Neural Networks Research Trends from recent publications reveal: Advancements in sequential recommendation systems using topological and sheaf-based neural networks Focus on sustainable AI through eco-aware graph neural networks Counterfactual explanations for graph models and machine unlearning Security applications in dense retrieval and data poisoning defense Time series analysis for 5G network monitoring Integration of attention mechanisms and positional encoding in Transformers Scientific Achievements : ECIR 2018 Test of Time Award 3 Best Paper Awards (ECIR 2007, IEEE WI 2004, WSDM 2011 Runner-Up) Yahoo! Patent Milestone Award Recipient of Yahoo! Labs Excellence Program (LEAP) and Faculty Research Engagement Program (FREP) Finalist for ERCIM Cor Baayen Award (2005) Academic Leadership : Holds 9 industrial patents from Yahoo! and Facebook AI. Directed Facebook AI research groups combating malicious content. Ph.D. in Computer Science from University of Pisa with thesis on High-Performance Issues in Web Search Engines . Supervises thesis projects through the RSTLess group website .

• Astroparticle Physics
• Instrumentation
• Cherenkov Telescopes
• +۳ مورد دیگر

Simone Incardona serves as a Research Fellow in the Department of Physics and Chemistry 'Emilio Segrè' at the University of Palermo, where he contributes to advanced instrumentation for gamma-ray astronomy and interdisciplinary machine learning applications. His institutional affiliation centers on the Cherenkov Telescope Array (CTA) project, specifically the development of the Schwarzschild-Couder Telescope (SCT) prototype. His research spans astroparticle physics instrumentation with emphasis on silicon photomultiplier (SiPM) technology and front-end electronics for Cherenkov light detection. Key focus areas include ASIC design for telescope cameras, optical system commissioning, and neural network architectures for time series analysis. This dual expertise in hardware development and computational methods supports cutting-edge observations in high-energy astrophysics. Analysis of his 2021-2023 publications reveals concentrated work on the pSCT prototype, addressing SiPM array assembly, SMART ASIC characterization, and Crab Nebula detection. The research trajectory demonstrates progression from component-level testing (2021) to integrated system validation (2023), with consistent contributions to CTA's medium-sized telescope instrumentation. No scientific awards were documented in available sources. Student advising activities and research grant details remain unspecified in current records, though his role involves supervising technical aspects of telescope instrumentation projects. He operates within the University of Palermo's CTA collaboration team, focusing on the pSCT's camera development and optical subsystems. This group interfaces with international partners in the global Cherenkov Telescope Array Observatory, contributing to hardware validation and observational campaigns.

• Astrophysics
• Materials Science
• Space Instrumentation
• +۳ مورد دیگر

Salvatore Ferruggia Bonura is a Researcher (PHYS-03/A) at the Emilio Segre Department of Physics and Chemistry, University of Palermo. He works within the Polytechnic School and focuses on materials and instrumentation for space missions. His research centers on developing and characterizing components for high-energy astrophysics, including Silicon nitride/aluminum optical blocking filters Bismuth absorbers for X-ray microcalorimeters Thermal and mechanical analysis of Athena mission filters Radio frequency shielding in space detectors Publications from 2018-2024 demonstrate expertise in X-ray astronomy instrumentation, structural modeling, and material testing for space environments. Contact: salvatore.ferruggiabonura@unipa.it . Office hours available Fridays 11:00-12:00.