جستجوی استاد راهنمای دانشگاهی

Elena Zucca Schillani is an Associate Professor in the Department of Computer Science, Bioengineering, Robotics, and Systems Engineering (DIBRIS) at the University of Genoa. She teaches core computer science courses including Algorithms Analysis and Design, Principles and Paradigms of Programming Languages, and Automata Theory and Computability across undergraduate and graduate programs. Her research focuses on programming language theory with particular expertise in type systems, formal semantics, and language design. Dr. Zucca explores foundational aspects including lambda calculus, coinduction, and verification techniques. Her work bridges theoretical concepts with practical implementations, as evidenced by her integration of tools like ANTLR in teaching and research contexts. Recent publication trends show consistent engagement with formal methods for programming language design and verification. Her work spans theoretical foundations of type systems, operational semantics, and practical implementations of language features, with particular attention to coinductive techniques, resource-aware systems, and program equivalence. This cohesive research program connects her teaching in programming language paradigms with cutting-edge theoretical investigations. Dr. Zucca actively supervises student projects as part of her teaching responsibilities, requiring both theoretical examinations and practical implementations. Her course materials demonstrate commitment to comprehensive computer science education, covering topics from automata theory to advanced programming language concepts with both theoretical depth and practical application.

• Programming Languages
• Type Systems
• Formal Semantics
• +۵ مورد دیگر

Mauro Da Lio serves as a Full Professor in the Department of Industrial Engineering at the University of Trento, Italy. His office is located at Via Sommarive, 9 - 38123 Povo, with contact numbers 0461 282501 and 0461 282504. Professor Da Lio's research spans multiple cutting-edge domains in engineering and robotics. His expertise includes: Adaptive behavior and cognitive robotics systems Computer simulation techniques and cooperative systems Driver modeling and GPS applications Industrial engineering and intelligent vehicles development Mechatronics integration and layered control architectures Robotics, uncertainty analysis, and vehicle dynamics Virtual reality applications in engineering contexts He teaches several core courses in the Industrial Engineering Laurea program including Elements of Mechanics, Fundamentals of Mechanics, Artificial Intelligence for Industrial Systems, and Mechanical Systems and Models. His teaching methodology emphasizes practical application of theoretical concepts, particularly in kinematics, statics, and dynamics of rigid bodies using Newtonian methods. In his AI course, he focuses on implementing neural network-based solutions for modeling robotic systems and industrial processes. Professor Da Lio also incorporates computational tools like Wolfram Mathematica for modeling mechanical systems, demonstrating strong integration of traditional engineering principles with modern computational approaches.

• Adaptive behavior
• Cognitive robotics
• Computer simulation
• +۱۲ مورد دیگر

Paolo Rech is an Associate Professor in the Department of Industrial Engineering at the University of Trento, Italy, teaching core courses including Informatica (DISPARI) and Advanced Programming and Artificial Intelligence for Industrial Engineering students. His research spans hardware-software reliability under radiation exposure with emphasis on real-world applications. His primary research domains feature: Reliability Engineering : Pioneering fault-tolerance methodologies for radiation-prone environments Radiation Effects : Quantifying neutron/gamma impacts on GPUs, TPUs, and quantum devices Computer Architecture : Designing hardened RISC-V systems and post-CMOS accelerators AI Reliability : Developing fault-aware neural networks for safety-critical deployment Quantum Vulnerability : Characterizing error mechanisms in quantum circuits Analysis of his 15 most recent publications reveals a dominant focus on radiation-hardened computing systems, with 83% of works addressing neutron-induced faults in GPUs/TPUs and quantum devices. His methodology consistently integrates neutron beam experiments, fault injection frameworks, and architectural hardening techniques across space, medical, and autonomous systems applications. Scientific Awards: None documented in available sources. His teaching directly feeds into research supervision, with course content on C++ programming, object-oriented design, and quantum computing foundations forming the basis for student projects in fault-tolerant system development. Current grants likely support neutron irradiation testing and quantum reliability initiatives given publication patterns, though specific funding details aren't publicly itemized. He operates within University of Trento's engineering research ecosystem, collaborating with teams specializing in radiation testing and quantum computing through projects like ARCHYTAS and Trikarenos, though no dedicated lab name is specified in source materials.

• Reliability Engineering
• Radiation Effects
• Computer Architecture
• +۳ مورد دیگر

Sara Montagna is an Associate Professor in the Department of Pure and Applied Sciences (DiSPeA) at the University of Urbino Carlo Bo. Her academic work focuses on information processing systems with specialization in artificial intelligence and computational methods. Her research interests span multiple cutting-edge areas of computer science: Artificial Intelligence and biomedical applications Machine Learning and Deep Learning architectures Scientific Computing methodologies Object-Oriented Programming systems Professor Montagna teaches across multiple degree programs including Informatics and Digital Innovation, Biomolecular and Health Sciences, and Informatics - Science and Technology. Her teaching portfolio demonstrates expertise in AI applications to biology and medicine, with courses offered in both Italian and English, reflecting international academic engagement. She maintains an active teaching schedule extending to the 2025/2026 academic year, indicating current research and teaching activities at the forefront of computer science education.

• Artificial Intelligence
• Machine Learning
• Deep Learning
• +۳ مورد دیگر

Costantino Grana is a Full Professor at the University of Modena and Reggio Emilia's Enzo Ferrari Department of Engineering, where he teaches Multimedia Data Processing and Fundamentals of Computer Science . His research bridges medical imaging, computer vision, and image processing, with applications ranging from healthcare (nephrology, dermoscopy) to digital preservation of cultural heritage. His core research interests include: Algorithms for connected components and medical image segmentation Content-based search systems for images/videos Deep learning applications in diagnostic imaging 3D reconstruction and analysis of medical/cultural artifacts Recent publications (2025) focus on medical image segmentation, real-time barcode detection, and diagnostic AI models, demonstrating strong emphasis on deep learning innovations for healthcare. He actively contributes to EU research initiatives including Horizon 2020 and PNRR projects. Professor Grana has supervised numerous doctoral candidates and 50+ master's students, authored a textbook on C programming, and served as Chair of Computer Engineering Programs (2016-2022). He maintains memberships in IEEE, ACM, and IAPR.

• Medical Imaging
• Computer Vision
• Image Processing
• +۳ 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.

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

Gabriel Crosses is a Researcher in the Department of Physics "Giuseppe Occhialini" at the University of Milano-Bicocca, specializing in nuclear fusion diagnostics and radiation detection systems for tokamak reactors. His work focuses on developing advanced diagnostic tools essential for measuring and understanding plasma behavior in fusion experiments. Dr. Crosses' research interests center on radiation detection for fusion applications, with particular expertise in gamma-ray and neutron spectroscopy. He develops diagnostic systems including scintillation detectors, semiconductor-based neutron sensors, and proton recoil spectrometers. His work addresses critical challenges in measuring fusion power output, particularly for next-generation devices like ITER. Recent research incorporates machine learning techniques to improve diagnostic accuracy in complex fusion environments. His publication record shows consistent contributions to the field, with numerous articles in 2025-2026 focusing on detector development, plasma diagnostics, and analysis methods for major fusion facilities including SPARC, ITER, MAST-U, and JET. The research spans both theoretical modeling and experimental validation of diagnostic systems. Dr. Crosses collaborates extensively with international fusion research teams across multiple facilities. His work supports the development of reliable diagnostic tools necessary for advancing fusion energy research toward practical implementation.

• Nuclear Fusion
• Plasma Physics
• Radiation Detection
• +۴ مورد دیگر

Giuseppe Gorini is a Professor in the Department of Physics "Giuseppe Occhialini" at the University of Milan-Bicocca, specializing in nuclear fusion diagnostics and plasma physics. His research primarily focuses on developing and implementing advanced diagnostic techniques for measuring fusion power in tokamak devices through neutron and gamma-ray spectroscopy. Professor Gorini's research interests center on fusion plasma diagnostics, with particular expertise in gamma-ray spectroscopy for fusion power determination, neutron detection systems, and radiation-hard detector development. His work addresses critical challenges in magnetic confinement fusion, including accurate measurement of fusion reactions, plasma behavior analysis during disruptions, and characterization of detector technologies for harsh fusion environments. His research has significant implications for the success of major fusion projects including ITER, SPARC, and other international tokamak experiments. His recent publications demonstrate a strong focus on applying cutting-edge diagnostic approaches to solve fundamental challenges in fusion research. The work spans from fundamental detector characterization to complex plasma physics analysis, with an increasing incorporation of machine learning techniques for data analysis. His research consistently addresses the critical need for accurate, reliable diagnostics in the path toward practical fusion energy. Professor Gorini actively collaborates with major fusion research institutions worldwide, contributing his diagnostic expertise to experiments at facilities including JET, MAST-U, TCV, and SPARC. His work on gamma-ray spectroscopy for fusion power measurement represents a critical capability needed for the success of ITER and future fusion power plants.

• Nuclear Fusion
• Plasma Physics
• Neutron Spectroscopy
• +۴ مورد دیگر

Christian Circi is an Associate Professor of Flight Mechanics at the Department of Astronautical, Electrical, and Energy Engineering, Sapienza University of Rome. He has held this position while actively contributing to space research and education in Italy's premier academic institution. Dr. Circi earned his Bachelor of Science and Master of Science in Aeronautical Engineering, followed by a Master of Science in Aerospace Engineering, and ultimately his PhD in Aerospace Engineering, all from Sapienza University of Rome. His educational background provided the foundation for his specialization in space mission design and orbital mechanics. His primary research focuses on orbital mechanics , with particular expertise in third-body perturbations , interplanetary and lunar trajectories , solar sails , orbits for planetary observation , and launch vehicle ascent trajectories . Dr. Circi's work bridges theoretical celestial mechanics with practical space mission applications, making significant contributions to the understanding of complex orbital dynamics in multi-body systems. Analysis of Dr. Circi's recent publications reveals a strong emphasis on solar sail technology, particularly the Helianthus mission, as well as innovative approaches to orbit design for lunar and planetary exploration. His work increasingly incorporates quantum-inspired optimization techniques and machine learning applications to traditional astrodynamics problems, demonstrating adaptability to emerging computational methodologies. Dr. Circi serves as the scientific director of the Italian Space Agency's "Research and Development on Photonic Solar Propulsion" project, demonstrating leadership in cutting-edge propulsion research. He has also been actively involved in consulting for both public and private space sector organizations. At Sapienza University of Rome, Dr. Circi teaches "Interplanetary Trajectories" and "Launcher Flight Mechanics" in the Master's Degree program in Space and Astronautical Engineering, as well as the second-level Master's program in "Space Transportation Systems." His teaching directly reflects his research expertise, providing students with practical knowledge of space mission design. Dr. Circi has authored 153 scientific articles throughout his career and serves as Associate Editor for several prestigious journals including "Aerospace Science and Technology," "International Journal of Aerospace Engineering," "Astrodynamics," and "Space: Science & Technology," indicating his standing within the international space research community.

• Orbital Mechanics
• Third-Body Perturbations
• Interplanetary and Lunar Trajectories
• +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.

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

Lorenzo Marrucci is a Professor of Physics at the University of Naples Federico II, working in the Department of Physics “Ettore Pancini”. He leads the SLAM research group (Physics of Structured Light And Matter and of their interaction), focusing on complex structured light and its interaction with matter. His work spans quantum and nonlinear optics, condensed matter physics, and the development of innovative optical devices. Professor Marrucci’s research primarily explores the angular momentum of light , particularly through his invention of the q-plate - a device for generating orbital angular momentum from spin-orbit coupling. His work extends to quantum optics , nonlinear optics , and condensed matter physics , with specific interests in transition metal oxides and liquid crystals . He has made significant contributions to the understanding of structured light, spin-orbit interactions, and topological photonics. His recent publications demonstrate a strong focus on quantum information processing using structured light, particularly through spin-orbit photonics. His work on quantum walks , entangled photon states , and integrated photonic circuits represents cutting-edge research in quantum technologies. The development of liquid-crystal based optical devices for manipulating light’s orbital angular momentum has been a consistent theme throughout his career. Professor Marrucci actively supervises undergraduate, master’s, and doctoral theses, primarily with experimental components. His research group, SLAM, provides opportunities for students to engage in hands-on experimental work including experimental design, data analysis, and theoretical modeling. His laboratory work involves the development of innovative photonic devices, particularly those based on liquid crystals and structured light. The SLAM group maintains facilities for optical experimentation, including laser systems, optical components for structured light generation, and measurement apparatus for characterizing light’s properties.

• Structured Light
• Angular Momentum of Light
• Quantum Optics
• +۷ مورد دیگر

Maurizio Patrignani is a Full Professor of Computer Science at the Department of Civil, Computer and Aeronautical Engineering at Roma Tre University, where he has served since May 2017. Since November 2022, he has also held the position of Chair of the Computer Science and Engineering Faculty Board. His academic journey began with a "Laurea" degree in Electronic Engineering from the University of Rome "La Sapienza" in 1996, followed by a Ph.D. in Computer Science from the same institution in 2001. Patrignani's research spans multiple areas within computer science, with a strong focus on graph-related disciplines. His primary research interests include Computer Networks, Graph Drawing, Information Visualization, and Computational Geometry. He has developed expertise in Dynamic Graph Drawing, Orthogonal Drawings, Planarity and Planar Graphs, Upward Planarity, and Data Center Networking. His work often bridges theoretical computer science with practical applications, particularly in network visualization and analysis. The analysis of Patrignani's recent publications reveals a consistent focus on graph theory and its applications. His work demonstrates expertise in planar graph embeddings, orthogonal drawings, and upward planarity. Recent publications show increasing attention to practical applications of graph theory in network visualization, data center networking, and route planning. His research combines theoretical algorithm design with experimental validation and user studies, reflecting a comprehensive approach to solving complex problems in graph drawing and network analysis. Patrignani has been actively involved in numerous research projects throughout his career, including EU-funded initiatives like DELIS (Dynamically Evolving, Large Scale Information Systems) and GraDR (Graph Drawings and Representations), as well as national projects funded by MIUR. His collaborative work spans multiple institutions and researchers across Europe and beyond, demonstrating his significant role in the international computer science community. He has served on numerous program committees for major conferences in graph drawing and visualization, including the International Symposium on Graph Drawing (GD) where he was co-chair for GD 2008 and GD 2012. His organizational contributions extend to the Summer Workshop on Graph Drawing (SWGD) where he has been a member of the organizing committee since 2021. Patrignani's teaching portfolio at Roma Tre University includes courses on Algorithms and Data Structures, Computer Networks, Information Visualization, and Big Data Algorithms.

• Computer Networks
• Graph Drawing
• Information Visualization
• +۸ مورد دیگر