جست‌وجوی استاد و پژوهشگر

Pietro Saggeseمشاهده پروفایل

استادیار

• Cryptofinance
• DeFi (Decentralized Finance)
• Cryptoasset Analytics
• +۵ مورد دیگر

Pietro Saggese is an Assistant Professor at IMT School for Advanced Studies Lucca, Italy, since November 2023. He holds a PhD in Economics and Data Science from IMT Lucca (2021), preceded by a BSc and MSc in Physics from the University of Turin. His research focuses on cryptofinance, cryptoasset analytics, CBDCs, and their socio-economic implications, with particular attention to decentralized finance (DeFi) protocols and their interactions with traditional financial systems. Before joining IMT, Pietro worked as a Scientist at AIT Austrian Institute of Technology (2021–2023), collaborating with the Complexity Science Hub. His work there explored DeFi’s systemic risks, smart contract interdependencies, and cryptoasset monitoring. Notable contributions include analyzing Bitcoin arbitrageurs’ behavior using Mt. Gox data and investigating DeFi governance structures. Research interests span: Cryptocurrency market dynamics and arbitrage strategies DeFi protocols and their regulatory challenges CBDC design and implications for monetary policy Blockchain-based systems’ socio-economic impacts His publications address topics like TVL verification in DeFi, bot detection on Ethereum, and DAO governance mechanisms. He actively contributes to international conferences and policy-oriented groups such as the Crypto-Asset Monitoring Expert Group (CAMEG). Pietro’s work bridges academic research with real-world applications, aiming to inform policymakers and market participants about emerging risks and opportunities in digital finance.

Francesco Picarielloمشاهده پروفایل

پژوهشگر

• Electrical and Electronic Measurements
• Data Acquisition Systems
• Compressive Sampling
• +۷ مورد دیگر

Francesco Picariello is a Researcher at the Department of Engineering (DING) at the University of Sannio, specializing in Electrical and Electronic Measurements (ING-INF/07). His academic profile shows extensive expertise in measurement systems, data acquisition, and signal processing with applications across multiple domains including biomedical engineering, structural health monitoring, and wireless communications. His research interests focus on the design, implementation, and metrological characterization of mobile measurement systems, wireless sensor networks, data acquisition systems based on compressed sensing, signal processing, and image processing. These research activities have been applied to intelligent transportation systems, aerial photogrammetry using UAVs, indoor navigation, motion tracking, power consumption analysis of processors, wideband data acquisition systems, and physiological monitoring applications. Dr. Picariello's work demonstrates significant trends in compressive sampling techniques, with numerous publications on ECG signal processing, RF emitter localization, and structural health monitoring systems. His research shows a clear progression toward IoT integration, wearable medical devices, and security applications for communication channels. His scientific collaborations include institutions such as the University of Naples 'Parthenope', Military University of Technology of Warsaw, National Institute of Standards and Technology (NIST), Keysight Laboratories, CERN Institute, and the University of Tokyo, reflecting the international recognition of his work. As an active researcher with publications spanning from 2016 to 2025, Dr. Picariello has made substantial contributions to measurement science, particularly in the development of novel techniques for data acquisition, signal processing, and system metrological characterization across multiple application domains.

• Wave Energy Conversion
• Control Engineering
• Mechanical Systems
• +۴ مورد دیگر

Fabio Carapellese is a Fixed-term Researcher at the Department of Mechanical and Aerospace Engineering (DIMEAS) at Politecnico di Torino. His research focuses on wave energy conversion systems, control engineering, and mechanical systems design. He is affiliated with multiple academic colleges at Politecnico di Torino: College of Chemical and Materials Engineering (as an Invited member) College of Management and Production Engineering (as an Invited member) College of Mechanical, Aerospace and Automotive Engineering (as a Member) Dr. Carapellese's research spans wave energy conversion, control systems, and mechanical engineering with applications in renewable energy. His work emphasizes: Design and optimization of wave energy converters including the SWINGO system Control systems for wave energy conversion with focus on anti-windup mechanisms and state constraints Multi-objective optimization of inertial wave energy converters Modeling of mechanical interactions in wave energy systems Integration of pendulum and gyroscopic effects for enhanced energy extraction His recent publications (2023-2025) demonstrate a consistent focus on advancing wave energy conversion technology through innovative mechanical designs and sophisticated control strategies. The research shows progression from theoretical modeling to experimental validation of wave energy systems, with particular attention to practical implementation challenges. Dr. Carapellese has contributed to several patents related to renewable energy technology, including: "Multifunctional gyropendulum and integrated WEC for wave energy production" (National and international patent) "Electricity generator" (National patent) As an educator, he serves as a Course Collaborator for multiple engineering courses at Politecnico di Torino, including Project Work in Manufacturing Technologies and Machine Mechanics in Materials Engineering, demonstrating his commitment to training the next generation of engineers in sustainable energy technologies.

Giuseppe Iannacconeمشاهده پروفایل

استاد

• Quantum Electronics
• Neuromorphic Computing
• 2D Materials
• +۵ مورد دیگر

Giuseppe Iannaccone is a full Professor at the University of Pisa , Department of Information Engineering. His research focuses on quantum electronics , neuromorphic computing , and 2D materials for advanced applications in analog circuits and high-temperature electronics. Lead researcher in QUEPE Quantum Engineering and QUEFORMAL projects Pioneer in neuromorphic chip design using silicon and 2D materials Active in developing high-temperature integrated circuits for industrial applications His recent work explores twisted transition metal dichalcogenides for spintronics, inkjet-printed 2D electronics on paper substrates, and wireless power transfer systems for medical devices. The Google Scholar articles show consistent contributions to analog neuromorphic engines , quantum transport modeling , and steep-slope transistor architectures . Collaborations include Gianluca Fiori and Benjamin Zambrano in neuromorphic hardware development. He actively promotes student well-being through institutional initiatives like the Ufficio Benessere at University of Pisa and has taught RFID and IoT courses for PhD students. Current research integrates MoS2/graphene heterostructures and van der Waals junctions for next-generation electronics.

• Machine Learning
• Computer Vision
• Federated Learning
• +۳ مورد دیگر

Riccardo Zaccone is a Ph.D. candidate in Computer and Systems Engineering at Politecnico di Torino’s Department of Control and Computer Science (DAUIN), specializing in machine learning and computer vision. He also serves as an external lecturer and teaching assistant, contributing to courses in Machine Learning, Deep Learning, and Algorithms and Data Structures for Computer Science Engineering. Education : Ph.D. in Computer and Systems Engineering (2022–2025), Politecnico di Torino. His research focuses on Federated Learning and Visual Place Recognition, addressing challenges in communication efficiency, distributed training, and cross-domain adaptation. Recent work includes Communication-efficient Federated Learning with Heavy-Ball Momentum (2025) MeshVPR for 3D-based Urban Navigation (2025) Distributed CosPlace Training for Large-Scale Localization (2024) He collaborates with the VANDAL laboratory on multimodal learning applications and has co-authored publications in top-tier venues like ECCV, Frontiers in Robotics and AI, and ICPR.

Gianna Del Corsoمشاهده پروفایل

دانشیار

• Quantum Computing
• Numerical Linear Algebra
• Spectral Analysis
• +۳ مورد دیگر

Gianna Del Corso is an Associate Professor at the Department of Computer Science, University of Pisa. Her research interests span Quantum Computing, Numerical Linear Algebra, and Spectral Analysis. She has advised PhD students in quantum computing topics such as quantum algorithms and machine learning. Her teaching includes courses on Numerical Calculus, Parallel Scientific Computing, and Introduction to Quantum Computing, delivered across multiple academic years at the University of Pisa. She has also contributed to advanced courses in the PhD program in Computer Science. Her research focuses on quantum algorithms for machine learning, quantum walks, eigenvalue computation of structured matrices, and spectral techniques for web analysis. Recent work includes applications of quantum k-means clustering and variance estimation subroutines. Her publications span quantum computing, numerical methods, and scientific citation models. Her articles highlight contributions to PageRank computation, matrix factorization for recommendation systems, and analysis of citation-based research evaluation models. She has actively engaged in international conferences, presenting on topics such as orthogonal iterations for nonlinear eigenvalue problems and quantum hitting time algorithms. Labs/Teams: Research conducted within the Department of Computer Science at the University of Pisa, focusing on quantum computing and numerical methods.

• Combinatorics on Words
• String Algorithms
• Data Mining
• +۳ مورد دیگر

Gabriele Fici is an Associate Professor at the Department of Mathematics and Computer Science, University of Palermo (Unipa). His research focuses on combinatorics on words, string algorithms, and algorithmic pattern matching. He teaches courses in text sequence analysis, data mining, and software development. Research Interests : Combinatorial pattern matching, Abelian repetitions, digital convexity, and theoretical foundations of string processing. Key Contributions : Pioneering work on Lyndon words, de Bruijn sequences, and jumbled pattern matching algorithms. Publications : Extensive publications in top-tier conferences like CPM and journals, with a focus on 2013-2025 trends in algorithmic complexity and computational linguistics.

• Nuclear Engineering
• Computational Physics
• Neutronics
• +۶ مورد دیگر

Sandra Dulla is a Full Professor at the Department of Energy (DENERG) of the Polytechnic of Turin . She has been actively involved in teaching at both PhD and Master's levels since at least 2019, with courses on Numerical Methods for Neutron Transport , Nuclear Fission Reactor Physics , Monte Carlo Methods , and Biomedical Applications of Radiation . Her research focuses on advanced nuclear reactor technologies, particularly Generation IV nuclear fission reactors Monte Carlo modeling and variance reduction techniques Neutron transport theory Thermonuclear fusion systems Multiphysics analysis of liquid metal-cooled reactors Recent publications highlight her work in Lead-Cooled Fast Reactors , Energy Grid Optimization , and Thermal-Hydraulic Module Development for reactor codes like FRENETIC. She has received the Best Paper/Presentation Award from the American Nuclear Society Mathematics & Computation Division (2012). Her projects include GREEN-ENERGY (2025-2027) ENDURANCE (2024-2028) GREaT-PIONEeR (2020-2023) Studi di core physics (2023-2026) for commercial research Professor Dulla supervises PhD students such as George Afful , Massimo Quarta , Christian Vita , and Alex Aimetta , with thesis topics spanning Multiphysics Modeling of Fusion Machines and Monte Carlo Decommissioning Applications . She leads the NEMO Research Group within DENERG.

• Naval Engineering
• Marine Propulsion
• Hybrid Propulsion Systems
• +۶ مورد دیگر

Raphael Zaccone serves as an Associate Professor in the Department of Naval, Electrical, Electronic and Telecommunications Engineering at the University of Genoa, where he is an active member of the department board. He teaches core courses including Military Ships (NAVI MILITARI), Naval Propulsion (PROPULSIONE NAVALE), and Naval Plants (IMPIANTI NAVALI) for the Naval Engineering degree program, as well as Ship Plants and System Safety for Maritime Science and Technology students. His research centers on sustainable maritime innovation, with primary focus areas in hybrid propulsion systems, alternative fuels (particularly methanol conversions), ship safety protocols, and autonomous navigation technologies. Key specialties include energy management strategies for reducing environmental impact, structural solutions for yacht refits, and collision avoidance algorithms compliant with international maritime regulations. His work bridges theoretical modeling with practical engineering applications to address critical challenges in modern naval architecture. Recent publications (2023-2025) reveal a pronounced trend toward maritime cybersecurity and AI-driven safety systems, with significant emphasis on LiDAR-based situational awareness, battery storage optimization for naval vessels, and evaluation frameworks for alternative marine fuels. Approximately 40% of his current work addresses autonomous ship navigation challenges, while 30% focuses on decarbonization through methanol propulsion and waste heat recovery systems, demonstrating strategic alignment with global maritime sustainability initiatives.

Andrea Pontiggiaمشاهده پروفایل

استاد

• Organizational Design
• International Management
• Human Resources Management
• +۵ مورد دیگر

Andrea Pontiggia is a Full Professor at the Department of Management within Ca' Foscari University of Venice, affiliated with the Venice School of Management. His roles include membership in the Editorial Committee of Edizioni Ca' Foscari and the Commission for Knowledge Valorization with economic-managerial expertise. He holds a SSD in Business Organization [ECON-08/A] and teaches courses on organizational design, international human resource management, and China-focused business strategies. His research focuses on organizational analysis, international management in emerging markets, human resources, and strategic intellectual property rights. Key areas include organizational design, cross-cultural business models, and innovation through internationalization. Recent work explores machine learning applications in performance measurement and global business strategies in competitive markets like China. Publications span 47 works including articles on globalization strategies, organizational efficiency models, and cross-cultural management challenges. Major grants include projects on China market access funded by Veneto Region and Chamber of Commerce. Teaching responsibilities include 'Company Organization,' 'International Human Resource Management,' and specialized programs for China business strategies. He supervises research in international management and innovation, collaborating with institutions like FrancoAngeli and McGraw-Hill Education. Labs/Teams: Active in research groups analyzing China market dynamics, crypto-asset trends, and international business models. Languages: Fluent in Italian, English, French with basic German proficiency.

• Mechanical Engineering
• Automotive Engineering
• Mechatronics
• +۹ مورد دیگر

Andrea Tonoli is a Full Professor at the Department of Mechanical and Aerospace Engineering (DIMEAS) at Polytechnic University of Turin. He serves as Scientific Advisor for partnerships with DAYCO, ITALDESIGN GIUGIARO, and STELLANTIS, and leads Spoke 2 'Sustainable Road Vehicle' at the National Center for Sustainable Mobility (MOST). He coordinates the DIMEAS-LIM research group and participates in CARS and PEIC interdepartmental centers. His teaching includes courses on Car Body Design, Motor Vehicle Design, and Mechatronic Systems Simulation. His research focuses on electric/hybrid powertrain optimization, mechanical design of electric traction machines, energy management in autonomous vehicles, longitudinal/lateral dynamics, virtual sensors for vehicle state estimation, electro-hydraulic/electromechanical shock absorbers, and magnetic bearings. Key subfields include rotordynamic analysis, harmonic finite element modeling for turbines, maglev stability, mechatronic systems for autonomous vehicles, and sustainable transportation. Recent publications emphasize electrodynamic maglev damping, compact assistive knee prostheses, electromagnetic shock absorber testing, and multi-objective optimization of regenerative suspensions. His work spans automotive, aerospace, and biomedical domains with applications to energy recovery, vibration control, and sustainable mobility. He supervises PhD students in mechatronics and automotive engineering, and leads numerous funded research projects including SPHERE (PNRR), MINERVA (PNRR), SmartCorners (EU), and industry collaborations with Hyperloop Transportation Technologies, Dayco Europe, and Racing Force Spa.

• Wireless Systems and Networks
• Internet of Things (IoT)
• Digital Twin
• +۹ مورد دیگر

Luciano Bononi is a Full Professor and Deputy Head of the Department of Computer Science and Engineering at the University of Bologna. He holds a PhD in Computer Science (2002) and has been active in academia since 2001, progressing through roles like Researcher, Senior Researcher, Associate Professor (2011), and Full Professor (2020). His research focuses on Wireless Systems, IoT, Digital Twins, Smart Cities, and Mobile Applications , with over 160 peer-reviewed publications and major contributions to EU projects like Arrowhead and IoE. Education: MS (Laurea) in Computer Science, University of Bologna (1997, Summa cum Laude) PhD in Computer Science, University of Bologna (2002) Research Interests: Bononi's work spans Wireless Protocols, IoT Platforms, Digital Twin Integration with AI, Smart Mobility/ Energy Systems, and Edge Computing . He leads the WiLMA Lab and the ALMA-AI CoInnovation Lab , focusing on real-world IoT deployments and smart city solutions. Key Contributions: Coordinated EU projects like Arrowhead (2013-2017) and national initiatives like PNRR-Mobility-Spoke 7 Recipient of 4 Best Paper Awards and top rankings in global scientist databases Editorial roles at 7 journals including Wiley's Wireless Communications and Elsevier's Ad Hoc Networks Organized over 15 international conferences as Chair and participated in 200+ TPC roles Labs & Teams: Directs the WiLMA Lab (Wireless Systems and Mobile Apps) and the ALMA-AI CoInnovation Lab , emphasizing interdisciplinary collaboration between academia and industry.

• Computational Biology
• Bioinformatics
• Data Compression
• +۷ مورد دیگر

Raffaele Giancarlo is a Full Professor in the Department of Mathematics and Computer Science at the University of Palermo. His office hours are held on Mondays and Thursdays from 2:30 PM to 5:30 PM in Room 106 of the DMI (Dipartimento di Matematica e Informatica) or via TEAMS. He can be reached at raffaele.giancarlo@unipa.it. Research Focus: Computational Biology, Bioinformatics, Data Compression, and Algorithm Design. Key Contributions: Development of agile platforms for genomic data analysis, optimization of Bloom filters, and innovative text indexing techniques.

• Bayesian Statistics
• Statistical Modeling
• Functional Data Analysis
• +۴ مورد دیگر

Raffaele Argiento is a Full Professor of Statistics at the Department of Economics, University of Bergamo since September 2021. His academic career focuses on advanced statistical methodologies with applications across various domains including environmental science, public health, and data analysis. His research is prominently featured in high-impact statistical journals and conference proceedings. Argiento's research interests center around Bayesian statistical methods, particularly in functional data analysis, nonparametric Bayesian modeling, and clustering techniques. His work demonstrates expertise in developing innovative statistical approaches for complex data structures, including spatio-temporal data, categorical variables, and high-dimensional datasets. His research has significant applications in environmental monitoring (particularly air pollution analysis), public health (obesity rate modeling), and seismic monitoring through crowdsourced data. His methodological contributions include advancements in mixture models, partition models, and computational algorithms for statistical inference. His recent publication record shows a strong trend toward developing computationally efficient Bayesian methods for real-world applications. The research spans from theoretical developments in nonparametric Bayesian statistics to practical implementations for environmental monitoring, health data analysis, and functional data processing. His work demonstrates a consistent focus on bridging theoretical statistical advancements with practical applications across multiple scientific domains. Professor Argiento teaches several advanced statistical courses at the University of Bergamo, including Applied Statistical Modelling , Probability and Statistics , and Statistical Models for both undergraduate and graduate programs in Economics and Data Analysis. His teaching reflects his research expertise, emphasizing modern statistical methodologies and computational approaches.

Werner Nuttمشاهده پروفایل

استاد

• Data Management
• Knowledge Representation
• Intelligent Information Extraction
• +۳ مورد دیگر

Werner Nutt is a Professor at the Free University of Bozen-Bolzano , Italy, affiliated with the Faculty of Computer Science since 2005. He previously held academic positions as a Reader at Heriot-Watt University (2000-2005), Visiting Professor at Hebrew University of Jerusalem, and Research Scientist at DFKI (1992-2000). Current Role: Professor, Free University of Bozen-Bolzano Past Roles: Reader (Heriot-Watt), Visiting Professor (Hebrew University), Research Scientist (DFKI) Research Interests focus on Data Management , Knowledge Representation , and Intelligent Information Extraction , with emphasis on modeling Construction Processes and ensuring Data Quality . His work bridges Semantic Web technologies with Business Process Management , notably through the COCkPiT project (2017-present) for construction process optimization. Key Contributions include foundational work on Query Completeness in databases, SPARQL Reasoning , and Semantic Diagnostics . He has published extensively in venues like ISWC , BPM , and CIKM , with an h-index of 35 on Google Scholar. His 154+ publications span topics from Probabilistic XML to Construction Process Modeling .