جست‌وجوی استاد و پژوهشگر

Alberto Luigi Cologniمشاهده پروفایل

مدرس

• Mechatronics
• Control Systems
• Industrial Automation
• +۵ مورد دیگر

Alberto Luigi Cologni is a Lecturer at the University of Bergamo and Project Manager at e-Novia spa. He holds an MSc in Computer Engineering (2009) and PhD in Mechatronics (2013) from the University of Bergamo. His research focuses on control systems, industrial automation, and mechatronics with applications in polymer processing, robotics, and remote maintenance systems. Key professional roles include Research Assistant at CAL (2014-2015), leading the Touchplant and HOLMES EU-funded projects, and Researcher Assistant at Intellimech (2010). His work spans actuator control, SCADA systems, and embedded software for industrial automation. Research interests emphasize closed-loop control strategies, vibration damping systems, and data-driven approaches in manufacturing processes. He has contributed to over 20 peer-reviewed publications since 2010, addressing topics like anti-sway crane control, modular automation software, and telepresence maintenance systems. His projects often involve collaboration with industrial partners, exemplified by the Cometha and Remote Maintenance systems initiatives. Current teaching includes the Industrial Automation course at University of Bergamo.

Gianfranco Paternoمشاهده پروفایل

استادیار مهمان

• Medical Physics
• Particle Accelerators
• Radiation Detection
• +۵ مورد دیگر

Gianfranco Paterno is a Visiting Assistant Professor at the University of Ferrara, affiliated with the Department of Physics. His research focuses on medical physics, particle accelerators, radiation detection technologies, and wearable medical devices. He teaches Computational Methods for Medical Physics in the Master's program in Physics (LM-17). His work includes advancements in crystal-based detectors, energy-harvesting wearable systems, and radiation source development for medical and high-energy physics applications. Research Highlights: Development of crystal undulators and scintillator-based calorimeters. Pioneering studies on body heat energy harvesting via wearable devices. Simulations and experimental validation of radiation sources and particle interactions. Recent Publications (2022–2025): Focus on detector technology, medical imaging, and accelerator applications, with contributions to journals like Nuclear Instruments and Methods and Applied Sciences .

• Artificial Intelligence
• Machine Learning
• Neural-Symbolic AI
• +۵ مورد دیگر

Marco Gori is a Full Professor at the Department of Information Engineering and Mathematical Sciences , University of Siena. His research spans Artificial Intelligence , Machine Learning , and Neural-Symbolic AI , with significant contributions to Educational Technology and Knowledge Graphs . He teaches Algorithms and Data Structures for undergraduate Management Engineering and Fundamentals of Machine Learning for graduate Artificial Intelligence and Automation Engineering . His recent work integrates Graph Neural Networks and State-Space Models for tasks like educational quiz generation and interoperable supply chain traceability. His publications highlight trends in Hybrid AI , focusing on interpretable models, cross-language educational tools, and temporal sequence processing. Articles like Grounding Methods for Neural-Symbolic AI and Interpretable-by-design Link Prediction underscore his emphasis on explainability and knowledge integration in AI systems.

Luca Boniniمشاهده پروفایل

استاد

• Mirror Neurons
• Social Cognition
• Motor Control
• +۵ مورد دیگر

Luca Bonini is a Full Professor of Psychobiology and Physiological Psychology at the University of Parma, Department of Medicine and Surgery. He serves as the Delegate of the Department Director for International Research, Coordinator of the PhD Program in Neuroscience, and Local Representative for Animal Welfare of the University of Parma's primate facility. His laboratory, the Laboratory of Nonhuman Primate Neuroethology, develops cutting-edge techniques for studying primate brains under naturalistic conditions. Bonini earned his Psychology degree with highest honors (110/110 e lode) from the University of Parma in 2003, followed by a PhD in Neuroscience in 2008 under Prof. Leonardo Fogassi and directed by Prof. Giacomo Rizzolatti. His postdoctoral training included positions at the Italian Institute of Technology (IIT) in Genoa from 2010-2016, where he worked at the 'Brain Center for Social and Motor Cognition.' His research focuses on the neural mechanisms of social cognition, particularly the mirror neuron system, and how primates understand and interact with their environment. Bonini's work spans from single neuron recordings in freely moving monkeys to the study of social affordances and emotional processing. He has pioneered the development of wireless neural recording technologies to study primates in natural social contexts, bridging laboratory neuroscience with ethologically relevant behavior. Bonini's recent publications reveal a sophisticated investigation of parieto-frontal circuits involved in action observation and execution, with particular attention to how the brain processes social and pragmatic aspects of object use. His work combines advanced neural recording techniques with behavioral analysis to investigate how primates understand both their own actions and those of others, with significant implications for understanding the neural basis of social cognition. 2018 - National Scientific Qualification for Full Professor of 'General Psychology, Psychobiology and Psychometrics' (PSI02) 2017 - National Scientific Qualification for Full Professor of 'Physiology' (BIO09) 2013 - $1000 Travel award 'Federation of the European Neuroscience Societies' (FENS) 1999-2000 and 2003 - University tuition reimbursement awards for being the top student Bonini has supervised over 60 Psychology students for thesis work and more than 10 PhD students and post-docs. His research is supported by substantial grants including an ERC Consolidator Grant 'EMACTIVE' (2020, €1,999,231), an ERC Proof of Concept Grant 'FUTURE-NHP' (2020, €150,000), and a US Army Research Office grant (2021, $396,772). His laboratory maintains strong international collaborations with institutions across Europe and the United States. The Bonini Lab at the University of Parma represents a vibrant research environment with multiple researchers, postdocs, and PhD students working on various aspects of primate neuroethology, with a commitment to ethical research practices and refinement techniques in non-human primate studies.

Marco Zorziمشاهده پروفایل

استاد

• Cognitive Neuroscience
• Computational Modeling
• Numerical Cognition
• +۳ مورد دیگر

Marco Zorzi is a Full Professor at the University of Padua, affiliated with the Department of Psychology. His research focuses on computational cognitive neuroscience, integrating methodologies like computational modeling, neuropsychology, and neuroimaging. Key areas include numerical cognition, reading/dyslexia, and spatial attention. He directs the Computational Cognitive Neuroscience Lab (CCNL), emphasizing interdisciplinary approaches to study cognitive processes in health and disease. His work combines experimental psychology with advanced computational techniques, such as fMRI, fNIRS, and EEG. Notable projects address number processing deficits in dyscalculia, stroke rehabilitation, and the neural bases of attention. Zorzi’s lab also develops tools like SleePyCo for sleep analysis and investigates AI limitations in visual tasks. Publications span topics from stroke recovery dynamics to generative AI’s challenges in numerical perception. Despite no explicitly listed awards, his contributions highlight innovation in computational models of cognitive disorders and rehabilitation strategies. Grants and collaborations underpin his lab’s activities, though specific funding details are not provided here. Zorzi’s lab collaborates internationally, advancing personalized neurocomputational models for literacy and numerical skills. Future work emphasizes bridging AI capabilities with human cognitive mechanisms, particularly in developmental disorders and neurorehabilitation.

Irene Bozzoniمشاهده پروفایل

استاد

• Molecular Biology
• Non-coding RNA
• Cellular Differentiation
• +۳ مورد دیگر

Irene Bozzoni is a Full Professor of Molecular Biology at Sapienza University of Rome since 1994, an Honorary Fellow of the School of Advanced Studies, and Senior Researcher at the Italian Institute of Technologies since 2018. She specializes in non-coding RNA's role in cellular differentiation and neurodegenerative diseases. Education: Biological Sciences graduate, Specialization in General Pathology, Postdoc at University of Zurich's Molecular Biology Institute. Affiliations: Board Member of Milan's National Museum of Science and Technology, EMBO member, and advisor to EMBL, Armenise-Harvard Foundation, and Treccani Encyclopedia. Research focuses on non-coding RNA mechanisms in disease contexts, with emphasis on neurodegenerative conditions. She coordinates a 30-member lab and leads international projects funded by EU, Telethon, and MIUR. Awards: Multiple national/international honors including Lincei’s Jucci and Tartufari awards, and two ERC grants. Leadership roles include directing Sapienza’s PhD programs and MUR policy committees. Over 160 publications and 8 patents (3 industrialized).

Riccardo Scandariatoمشاهده پروفایل

استاد

• Software Security
• Cybersecurity
• Usable Security
• +۶ مورد دیگر

Riccardo Scandariato is a full professor and head of the Institute of Software Security at Hamburg University of Technology (TUHH), Germany. He coordinates the International Master in Information and Communication Systems and has held academic positions at institutions like the University of Virginia, Politecnico di Torino, KU Leuven, and the University of Gothenburg before joining TUHH in 2020. Education: PhD in Computer Science from Politecnico di Torino (2004). Career highlights include leading interdisciplinary research in software security, vulnerability repair, and AI-driven cybersecurity solutions. Research focuses on secure software design, automated vulnerability repair, and empirical methods for cybersecurity. Key interests include microservices, IoT, and cyber-physical systems, with emphasis on developer-centric security practices and usable privacy features. Notable projects include SEC4AI4Sec (EU Horizon Europe) and KiThreat (CREATUM GmbH), addressing AI-augmented systems and GenAI-based software risks. Former projects include CASUS (automotive security assurance cases) and CyReV (automotive cyber resilience). Research team includes senior researchers and PhD students working on topics like secure code generation (Catherine Tony), vulnerability localization (Cuong Bui Quang), and ML-driven threat analysis (Torge Hinrichs). Alumni have contributed to areas like automotive systems, privacy in smart homes, and architectural threat modeling. Grants: EU-funded AssureMOSS (2020–2023), H2020, and VINNOVA-backed CASUS (2017–2021). Committees: PC member of major conferences like ECSA, ARES, and SANER. Steering committee for ARES. Labs/Teams: Leads the Institute of Software Security at TUHH, focusing on interdisciplinary tools for secure application design. Collaborates with industry partners like Volvo and CREATUM GmbH.

• Private Law
• Contract Law
• Civil Liability
• +۴ مورد دیگر

Riccardo Omodei Sale is a Full Professor of Private Law at the University of Verona, Department of Legal Sciences. He holds academic leadership roles, including membership in the PhD School Board and coordination of the European and International Law PhD program. His research focuses on contract law, property rights, inheritance law, and European legal harmonization. He has led over 20 research projects since 2001, addressing topics like digital service regulation, demographic change, and comparative legal frameworks. He has been awarded the Premio Eccellenza Scientifica (2013), Premio Ladislao Mittner (2015), and Huésped de Honor from Universidad Nacional de Córdoba (2015). His teaching spans undergraduate and graduate courses in contract law, private law, and European legal systems across multiple academic programs since 2001. He actively participates in interdisciplinary research centers such as CeDiFam (family succession studies) and IUSTeC (law and technology research). His work bridges national legal systems with European directives, emphasizing practical applications for citizens and businesses.

• Abstract interpretation
• Security
• Static program analysis
• +۶ مورد دیگر

Isabella Mastroeni serves as an Associate Professor in the Department of Computer Science at the University of Verona, where she holds the position of Professore II fascia in Informatics (INFO-01/A). She is actively involved in research and teaching within the university's Science and Engineering Area, with her office located in Ca' Vignal 2, Floor 1, Room 88. Her research focuses on two primary areas: abstract interpretation and security. Within abstract interpretation, she studies programming language semantics and static analysis techniques, including for dynamic programming languages. Her security research spans language-based security with emphasis on non-interference models, malware detection through code similarity analysis, code protection via obfuscation techniques, and analysis of security properties to prevent code injection attacks. She publishes in top international venues including programming language conferences (POPL, ESOP, SAS, PEPM), security journals (TOPS, JCS), and formal computer science publications (FACJ, TCS, MSCS). Professor Mastroeni serves as a member of the SPY (Formal Methods) Laboratory and has led numerous research projects, including recent initiatives such as Learning Safe Behaviours for human-robot cooperation (BEHAVE), Securing sOftware Platforms, and Novel Methodologies and Tools for Next Generation Cyber Ranges (NOMEN). Her current research interests are categorized under ERC sectors PE6_5 (Security, privacy, cryptology), PE6_3 (Software engineering, programming languages), and PE6_4 (Theoretical computer science, formal methods). She holds significant administrative responsibilities including Chair of the Commissione AQ Laurea triennale in Informatica, Quality Assurance Representative for the Computer Science degree program, and membership on multiple governing bodies including the Faculty Board of PhD in Computer Science and the Computer Science Teaching Committee. Professor Mastroeni teaches across multiple programs including Educational Technology Laboratory for Primary Teacher Education, Foundations of Computing, Programming Languages, and Software Analysis for Computer Science bachelor's and master's degrees. Her teaching spans from foundational courses to advanced specialized topics reflecting her research expertise.

• Bioinformatics
• Computational Biology
• Graph Algorithms for Biological Networks
• +۷ مورد دیگر

Rosalba Giugno is a Full Professor of Informatics at the University of Verona's Department of Computer Science. She serves as Principal Investigator of the InfOmics Laboratory and is the reference person for the Master in Medical Bioinformatics program. Previously, from 2017 to 2022, she directed the Infolife laboratory, which comprised 35 research groups from various Italian universities. Her research focuses on algorithmic bioinformatics and computational biology, specifically developing graph algorithms for biological networks, integrating and analyzing biomolecular data, and modeling biological systems for personalized medicine. She leads a research group consisting of 5 PhD students and multiple master's thesis students. Her work bridges theoretical computer science with practical biomedical applications, utilizing approaches from machine learning, data science, mathematics, and graph theory. Professor Giugno has authored 130 scientific publications, with 70 appearing in international journals. Her recent work shows a strong trend toward applying advanced computational methods to solve complex problems in personalized medicine, particularly in patient stratification using multi-omics data, drug repurposing, and combination therapy prediction. She has secured funding for numerous national and European research projects, with recent initiatives focusing on multi-drug resistance in rheumatoid arthritis and personalized prostate cancer evaluation. She serves as an editor for the journal Information Systems and participates in scientific committees for international conferences and schools. Her leadership extends to university governance through roles on the Computer Science Teaching Committee and Department Council. Professor Giugno teaches courses in the Master's program in Medical Bioinformatics and the PhD program in Computer Science, including 'Analisi di dati Multi-omics da single-cell' and 'Programming for bioinformatics.' She has consistently taught these courses from 2016 through 2025, demonstrating commitment to training the next generation of bioinformatics specialists. The InfOmics Laboratory under her direction develops computational methods for biomedical data analysis, with applications spanning genomics, patient classification, and therapeutic optimization. The lab maintains strong connections with both academic and industrial partners through collaborative research projects.

Patrizia Scandurraمشاهده پروفایل

استاد

• Software Architecture
• Formal Methods
• Self-adaptive Systems
• +۳ مورد دیگر

Patrizia Scandurra is a Professor at the University of Bergamo, Italy. She has held significant roles including Co-chair of the Doctoral Symposium-track at ECSA 2020, Program Co-Chair for multiple conferences, and is a member of steering and organizing committees for various international software engineering events. Her research focuses on Software Architecture, Formal Methods, Self-adaptive Systems, and Cyber-Physical Systems. She has contributed to frameworks like ASMETA and RAMSES, emphasizing rigorous system design and safety assurance. Her work spans formal specification, model-based testing under uncertainty, and adaptive systems for diverse applications such as automotive systems, medical devices, and smart cities. She has published extensively on topics like self-adaptation under model uncertainty, microservices resilience, and anomaly detection in urban infrastructure. Patrizia’s contributions include conference organization across ECSA, ASE, ICSE, and SEAMS, reflecting her leadership in advancing software architecture theory and practice. Her research bridges formal methods with real-world applications, addressing challenges in autonomous systems and digital twin integration.

Luca Del Zannaمشاهده پروفایل

دانشیار

• Plasma Astrophysics
• Relativistic Magnetohydrodynamics (MHD)
• Neutron Stars
• +۳ مورد دیگر

Luca Del Zanna is an Associate Professor at the Department of Physics and Astronomy , University of Florence. He holds dual affiliations with the University of Florence (UniFi) and the National Institute for Astrophysics (INAF). His research focuses on plasma astrophysics, relativistic magnetohydrodynamics (MHD), and compact objects such as neutron stars and black holes. He leads the Space Plasma and Astrophysics Group at UniFi and co-organizes international workshops like the Arcetri Workshop on Plasma Astrophysics and Vlasovia . Research Interests include relativistic MHD simulations, magnetic reconnection, accretion disk dynamics, and the development of computational tools like the ECHO and XNS codes. His work bridges theoretical and numerical approaches to understand astrophysical phenomena such as gamma-ray bursts, pulsar wind nebulae, and solar/heliospheric processes. Recent Activities : Hosted SoHe4 (2023) and Vlasovia 2024 (2024), co-organized the INFN-TEONGRAV meeting (2022), and commemorated the legacy of Claudio Chiuderi (2022). His research group actively collaborates on projects like the XPE mission and explores multi-scale plasma physics. Publications span over two decades, emphasizing numerical methods, relativistic plasma dynamics, and high-energy astrophysics. He is a key developer of the ECHO code, used for GRMHD simulations of neutron stars and accretion disks.

Aurélien Tissotمشاهده پروفایل

پژوهشگر

• Nuclear Engineering
• Fuel Performance Modelling
• GenIV Reactors
• +۴ مورد دیگر

Aurélien Tissot is a Researcher affiliated with the Nuclear Reactors Group (NRGroup) at Politecnico di Milano. His primary role involves advanced R&D in nuclear engineering, particularly focusing on fuel performance modeling and GenIV reactor technologies. He has been continuously involved with NRGroup since 2016, contributing to projects on lead-cooled fast reactors, reduced-order modeling, and inert gas behavior in nuclear fuels. Education: MSc in Engineering (Mechanical Systems), Université de Technologie de Troyes, France (2013) PhD in Nuclear Engineering, Politecnico di Milano (2015) Research Highlights: Tissot’s work spans nuclear fuel behavior analysis, transient modeling of nuclear systems, and computational methods for reactor design. His PhD thesis addressed inert gas dynamics in UO₂ fuel, while his MSc thesis explored fuel pin performance codes. Recent efforts include MSR/LFR (Molten Salt/Lead Fast Reactors) and control-oriented modeling of GenIV systems. Labs & Teams: Active member of NRGroup, specializing in next-generation reactor technologies and fuel performance simulation. Collaborates with institutions like POLIMI and NRGroup alumni networks.

Antonio Cammiمشاهده پروفایل

استاد

• Nuclear Engineering
• Thermal Fluid Dynamics
• Fusion Energy Systems
• +۴ مورد دیگر

Prof. Antonio Cammi is a distinguished academic focusing on advanced nuclear technologies and thermal-fluid systems. His research integrates computational modeling, experimental validation, and innovative engineering solutions for fusion energy systems, molten salt reactors, and high-performance thermal management. Key areas include gyrotron design for plasma heating, remote maintenance systems for fusion facilities, and reactor safety through multiphysics analysis. He actively contributes to international projects like JUNO (neutrino detection), IFMIF-DONES (fusion materials testing), and EU-DEMO (demonstration fusion reactor). His work bridges fundamental physics with applied engineering, addressing challenges in reactor core dynamics, fuel cycle optimization, and computational efficiency. Notable methodologies include reduced order modeling (ROM), data assimilation techniques, and hybrid simulation approaches. Cammi collaborates with institutions like ENEA (Italian National Agency for New Technologies), ITER, and the University of Pavia (TRIGA reactor). Research interests span fusion plasma physics, advanced reactor materials, neutron radiation effects, and sustainable nuclear energy economics. His team develops novel tools for reactor safety assessment, including digital twins and real-time monitoring systems. Current projects emphasize high-flux testing infrastructure, passive safety systems, and modular reactor designs for next-generation energy systems.

Alberto Tosolinمشاهده پروفایل

پژوهشگر

• Nuclear Engineering
• Thermal-Mechanical Modelling
• Fuel Performance Simulation
• +۴ مورد دیگر

Alberto Tosolin is a Researcher affiliated with Politecnico di Milano (NRGroup). His research focuses on nuclear fuel performance, molten salt reactors (MSR), and thermal-mechanical modeling of Generation IV reactors. He has conducted extensive R&D work on fuel behavior, code validation, and multi-physics modeling of advanced reactor systems. Education: MSc in Nuclear Engineering (2013/2014/2016/2018) – Theses include studies on fuel-coolant interactions in LFRs and fuel pin performance codes. PhD in Nuclear Engineering (2018/2022) – Thesis titles include work on inert gas behavior in UO₂ fuel and advancements in MOX-fuel pin modeling for liquid-metal fast reactors. R&D Contributions: His work at NRGroup (2016–present) spans MSR dynamics, neutronics modeling, and Reduced Order Models for reactor control. He has also contributed to fuel performance code validation and benchmarking for Generation IV systems.