جست‌وجوی استاد و پژوهشگر

Stefano Lorenziمشاهده پروفایل

استاد

• Nuclear Engineering
• Thermal Fluid Dynamics
• Molten Salt Reactors
• +۵ مورد دیگر

Prof. Stefano Lorenzi is a Professor in the Department of Nuclear Engineering at the University of Pavia, specializing in advanced nuclear systems. His core research focuses on thermal-fluid dynamics, molten salt reactors (MSRs), small modular reactors (SMRs), and computational methods for reactor safety and economics. He leads projects like TANDEM and ELSMOR, addressing SMR integration into hybrid energy systems and European licensing frameworks. His work includes multiphysics modeling of MSR fission products, stability analysis of natural circulation loops, and neutronics simulations using OpenFOAM and Monte Carlo methods. Key contributions span reactor dynamics, control systems, and validation of open-source nuclear codes. Prof. Lorenzi's recent studies emphasize SMR economics, safety features of in-core bubbling systems, and hybrid data assimilation for reactor analysis. He collaborates with institutions like LENA (Laboratory of Energy Engineering) and contributes to international projects such as SAMOSAFER and the MYRRHA test facility.

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.

• Computer Architecture
• High Performance Computing
• GPU Programming
• +۵ مورد دیگر

Josie Esteban Rodriguez Condia is a Fixed-term Assistant Professor in the Department of Control and Computer Engineering (DAUIN) at Politecnico di Torino. She is a member of the CARS@PoliTO Interdepartmental Center - Center for Automotive Research and Sustainable Mobility and serves as an invited member of both the College of Electronic, Telecommunications, and Physics Engineering and the College of Computer, Film, and Mechatronics Engineering. Her research focuses on computer architecture reliability, particularly in GPU and AI accelerator systems. Key areas include functional testing, general purpose graphics processing units (GPGPUs), hardware accelerators, hardware architecture, and parallel processing. Her work addresses critical challenges in reliability assessment of AI-based automotive systems, self-test libraries for tensor cores, and hardening techniques for neural networks on GPUs. Her recent publications demonstrate a strong trend toward reliability engineering for AI hardware, with particular emphasis on automotive applications and GPU-based neural network implementations. The research spans fault injection methodologies, error modeling, and architectural solutions to enhance system resilience against soft errors and permanent faults. Dr. Rodriguez Condia actively supervises PhD students including Gustavo Vilar De Farias, Giuseppe Esposito, and Robert Alexander Limas Sierra, all working on reliability evaluation and enhancement of neural networks. She is a member of the PNRR Research Group for the National Center for HPC, Big Data and Quantum Computing (2022-2025). She teaches multiple courses including GPU Programming and High Performance Computing for both Computer Engineering and Quantum Engineering programs. Her editorial work includes serving as Guest Editor for APPLIED SCIENCES in 2024.

Leonardo Giannantoniمشاهده پروفایل

پژوهشگر

• Computer architectures
• Computer aided design
• Computer graphics
• +۱۰ مورد دیگر

Leonardo Giannantoni is a PhD Student in Control and Computer Engineering at the Polytechnic University of Turin (2021-2024) and a current Research Engineer at the same institution. His work focuses on bio-inspired and AI-driven algorithms for modeling, simulating, and optimizing complex systems, with applications in synthetic biology , structural biology , and healthcare technology . Education PhD in Control and Computer Engineering (2024, Polytechnic University of Turin) MSc in Computer Engineering (2016, Polytechnic University of Turin) BSc in Computer Engineering (2014, Polytechnic University of Turin) Giannantoni's research spans multiple domains, including reinforcement learning for genetic networks , co-simulation in biofabrication , and virtual reality rehabilitation systems for Parkinson's disease. His work integrates machine learning with biological modeling , leveraging parallel computing and software engineering principles. Recent publications highlight his expertise in AI-driven structural biology , synthetic oscillatory networks , and privacy tools like tracker blockers. His Biology System Description Language (BiSDL) provides a framework for multicellular synthetic biological systems design. Scientific Contributions Member of the Focus Group of Researchers (2023-) Giannantoni has served as a Teaching Assistant for courses on Systems Programming and Algorithms , and contributed to open-source projects like nwn-petrisim (Petri Nets simulator) and microgp4 (evolutionary computing toolkit). His work bridges academic research and practical software development for complex systems.

• Numerical Analysis
• Inverse Problems
• Image Processing
• +۳ مورد دیگر

Germana Landi is an Associate Professor at the Department of Mathematics, University of Bologna. Her research focuses on numerical methods for solving ill-posed inverse problems, with applications in image processing, magnetic resonance data inversion, and geological modeling. She holds a Mathematics degree (1997) and a PhD in Computational Mathematics (2001, University of Padua). Her academic career includes roles as a researcher (2008–2021) and Professor II fascia (since 2021). Education: BSc in Mathematics, University of Bologna (1997) PhD in Computational Mathematics, University of Padua (2001) Research Interests: Numerical methods for minimization and regularization of inverse problems Image reconstruction/enhancement in medical and geological contexts Applications in MRI, landslides analysis, and FFC-NMR spectroscopy Her work emphasizes algorithm development, such as MUPen2DTool and ModelFreeFFC, addressing challenges in data inversion and noise reduction. Advising & Grants: Supervised numerous master’s theses in Mathematics. Participated in national research programs and contributed to interdisciplinary projects in geology and biomedical engineering. Labs/Tools: Developed software tools for 2D NMR data inversion and MRI artifact removal, reflecting her commitment to bridging computational methods with real-world applications.

• Analytical Chemistry
• Environmental Science
• Proteomics
• +۳ مورد دیگر

Emilio MARENGO is a Professor at the Department of Science and Technological Innovation, Università degli Studi del Piemonte Orientale 'Amedeo Avogadro'. His research focuses on analytical chemistry, environmental science, and proteomics, with a strong emphasis on chemometric methodologies and their applications in food safety, environmental monitoring, and biomedical analysis. Key research interests include: Development of advanced analytical techniques (e.g., UHPLC-HRMS, LC-MS/MS) Contaminant detection in environmental and biological matrices Food authenticity verification using spectroscopic methods Proteomic profiling for disease biomarker discovery He leads projects funded by the European Commission, Italian Ministry of Health, and Ministry of Universities and Research, including initiatives on PFAS pollution control, sustainable aquaculture systems, and chemometric traceability of agro-food products. Recent publications highlight innovations in perfluorinated substance analysis, veterinary drug residue detection, and biogas optimization from organic waste. Collaborations span environmental engineering, food technology, and virology, reflecting interdisciplinary strengths in addressing global challenges like pollution control and food safety. No scientific awards are explicitly listed, though his extensive publication record indicates impactful contributions.

Fabrizio Rossiمشاهده پروفایل

استاد

• Integer Programming
• Combinatorial Optimization
• Network Optimization
• +۸ مورد دیگر

Fabrizio Rossi is a Full Professor of Operations Research at the University of L'Aquila, Department of Information Engineering, Computer Science and Mathematics. He has been a member of the Board of Administration at the university since 2019 and previously from 2010 to 2012. His academic career spans over two decades, including roles as Associate Professor (2005–2019) and Assistant Professor (1997–2002). Education: Ph.D. in Operations Research, University of Rome 'La Sapienza' (1996) Laurea Degree in Electrical Engineering, University of Rome 'La Sapienza' (1992) Visiting Student in IEOR at Columbia University, New York (1996) Operations Research School, Scuola di Matematica Interuniversitaria (1996) Research Interests: Fabrizio Rossi specializes in large-scale optimization methodologies, including Integer Programming and Combinatorial Optimization. His work addresses complex applications in telecommunications network design, manufacturing process optimization, logistics systems, and healthcare. Recent innovations include algorithms for DNA sequence optimization and tumor classification using machine learning. He focuses on practical solutions through advanced techniques like lift-and-project operators and robust optimization frameworks, with significant contributions to scheduling and resource allocation in call centers and satellite missions. Scientific Awards: Informs Computing Society Prize (2014) (collaborative with Jim Ostrowski, Jeff Linderoth, Stefano Smriglio) Finalist, Euro Excellence in Practice Award (2006) for research on terrestrial broadcasting migration Advising and Grants: As a project leader, he coordinated major initiatives such as: PRIN 2010–2012 : Integer Programming methods for radio transmission networks 2008–2009 : Analog-to-digital broadcasting migration optimization IST SAILOR Project (2002–2005) : Satellite UMTS emulation systems He also contributed to European Space Agency's MAS Project (2004–2006) and collaborated with Italian regulatory bodies on telecommunication projects. His research portfolio includes over 50 projects since 1993, emphasizing real-world applications in manufacturing, logistics, and healthcare systems. Labs/Teams: His research is conducted within the Department's optimization groups and industry partnerships. Collaborations include ESA satellite scheduling, RAIWay frequency assignment, and healthcare institutions for treatment planning systems.

• Wireless Communication Systems
• Distributed Machine Learning
• Edge Computing
• +۵ مورد دیگر

Falko Dressler is a full professor and Chair for Telecommunication Networks at the School of Electrical Engineering and Computer Science, Technische Universität Berlin (TU Berlin). He holds a M.Sc. and Ph.D. from the University of Erlangen's Department of Computer Science (1998 and 2003). His roles include associate editor-in-chief for IEEE Trans. on Network Science and Engineering and IEEE Trans. on Mobile Computing , as well as chairing conferences like IEEE INFOCOM and ACM MobiSys. He was an IEEE and ACM Distinguished Lecturer, and authored influential textbooks such as Self-Organization in Sensor and Actor Networks and Vehicular Networking . Education: M.Sc. (1998), Ph.D. (2003) in Computer Science, University of Erlangen Professional Activities: Editorial roles across 8+ journals, conference leadership (e.g., IEEE GLOBECOM), academic fellowships (IEEE, ACM, AAIA) Research Interests: Focus on resilient wireless communication systems integrating distributed machine learning and edge computing. Key domains include IoT, cyber-physical systems, and bio-nano networks. His work bridges theoretical advances with practical applications in vehicular networks, 5G/6G systems, and tactile Internet. Publications: Over 300+ peer-reviewed papers spanning topics like multiband channel analysis, federated learning at edge networks, and O-RAN architecture. Recent work emphasizes 6G innovations, metaverse convergence, and explainable AI for network security. Awards: IEEE Fellow (2014), ACM Fellow (2019), AAIA Fellow (2022), German National Academy of Science member (acatech) Grants/Teams: Leads TKN (Telecommunication Networks) lab, co-organizing IEEE INFOCOM 2026. Supervised over 50 PhD students, many in vehicular/edge computing domains. Labs/Teams: Directs TU Berlin's Telecommunication Networks (TKN) group, collaborating internationally on projects like ReNeSys 2025 and IEEE MedComNet. Active in standardization efforts for Open RAN and vehicular VLC.

• Organizational Studies
• Cultural Management
• Digital Humanities
• +۳ مورد دیگر

Luca Pareschi is an Associate Professor at the University of Rome Tor Vergata, specializing in Organization Studies. He teaches courses on HR Analytics, Digital Transformation, and Cultural Management in both undergraduate and graduate programs. His research focuses on organizational dynamics in cultural industries, public policy analysis, and innovative applications of topic modeling in humanities research. Key research interests include accessibility regulations in public spaces, heritage craft preservation, EU regional policy communication, and the impact of robotics on workplace organization. He actively contributes to interdisciplinary projects like PERCEIVE (analyzing EU cohesion policies) and MITAO (software for humanities text analysis). Recent publications explore tensions between tradition and innovation in cultural festivals, resistance to accessibility reforms, and the role of discourse in shaping organizational identities. His work bridges sociological theory with practical policy implications, particularly in areas of disability rights and small business compliance. He has served as a researcher on multiple EU-funded initiatives and maintains an active teaching portfolio across multiple academic programs.

• High Performance Computing
• Sparse Matrix Computations
• Parallel Computing
• +۳ مورد دیگر

Michele Martone is a Researcher at the High Performance Systems Division of the Leibniz Supercomputing Centre (LRZ) in Garching, Germany. His work focuses on High Performance Computing (HPC) , sparse matrix computations , and code restructuring techniques , with a strong emphasis on OpenMP/MPI parallelization and semantic patching using the Coccinelle tool. Research Interests : HPC, automated code restructuring, sparse matrix optimization, semantic patching, and free/open source software (FLOSS) development. Key Tools : Author of the librsb library for sparse matrix operations, SparseRSB for Octave, PyRSB for Python integration, and the FIM image viewer. Publications : His recent work includes semantic patching for HPC refactorings, Coccinelle-based tooling, and performance optimization of sparse linear algebra libraries. Teaching : Delivers trainings and talks on Coccinelle, OpenMP/MPI, and FLOSS at events like HIPS25 , FOSDEM , and deRSE conferences. Advocacy : Strongly promotes free software, transparency in science, and public access to code developed with taxpayer funding.

• Real-Time Systems
• Embedded Systems
• Artificial Intelligence
• +۴ مورد دیگر

Giorgio C. Buttazzo is a Full Professor specializing in real-time systems, embedded computing, and AI integration. His research focuses on scheduling algorithms, cyber-physical systems, and security mechanisms for time-critical applications. He has contributed significantly to the IEEE community, including the 2023 IEEE TCCPS Early-Career Award. Research Interests: Real-Time Scheduling and Resource Management Embedded Systems and Energy Efficiency AI Security and Adversarial Robustness Cyber-Physical Systems and Robotics Key Publications (2023-2024) explore topics like memory integrity for unsafe languages, adversarial attack defenses, and dataset generation for autonomous systems. His work bridges theoretical foundations with practical implementations in FPGA-based hardware and heterogeneous platforms. Awards: Recipient of the IEEE TCCPS Early-Career Award 2023 for contributions to cyber-physical systems research. Advising/Grants: Extensive collaboration on EU-funded projects and industry partnerships, though specific grants/students are not explicitly listed in the provided data.

Daniel Casiniمشاهده پروفایل

استادیار

• Real-Time Systems
• Embedded Systems
• Scheduling Algorithms
• +۳ مورد دیگر

Dr. Daniel Casini is an Assistant Professor at the Department of Information Engineering and Computer Science, Sant'Anna School of Advanced Studies. His academic journey includes a PhD (2016–2019) and postdoctoral research (2019–2021) in Real-Time Systems. He specializes in real-time scheduling algorithms, edge computing, and embedded system predictability. His work focuses on optimizing latency, resource allocation, and security in cyber-physical systems. Education: PhD in Computer Science, Sant'Anna School of Advanced Studies (2016–2019) Postdoctoral Researcher in Real-Time Systems (2019–2021) Research Interests: Real-Time Scheduling (Partitioned/EDF/Gang Scheduling) Edge Computing and Predictable Virtualization Middleware Optimization (DDS/ROS 2) Hardware-Software Co-Design for Cyber-Physical Systems Security-Temporal Trade-offs in Critical Systems Key Contributions: Developed MATERIAL framework for edge real-time applications on QNX RTOS Pioneered analysis of QNX IPC predictability and Linux kernel noise Designed latency-optimized thread chains for DDS middleware Awards: IEEE TCCPS Early-Career Award 2023 Labs/Teams: Active contributor to the SPHERE project, developing heterogeneous multi-SoC architectures for next-gen cyber-physical systems.

• Language-based Security
• Compilers
• Formal Verification
• +۴ مورد دیگر

Letterio Galletta is an Assistant Professor of Computer Science at IMT School for Advanced Studies Lucca, within the SySMA research unit. Previously, he held a postdoctoral researcher position at the University of Pisa's Department of Computer Science and earned his Ph.D. in Computer Science from the University of Pisa in 2014. His research focuses on language-based security, leveraging programming languages, compilers, and formal verification to address security challenges in adaptive software, IoT, firewalls, and blockchain technologies. Key research areas include secure compilation, access control policy analysis, smart contract formal models, and static analysis techniques. His work bridges theoretical foundations with practical applications, such as securing satellite communication systems (IRIS2) and enhancing firewall policy enforcement. Publications highlight contributions to blockchain transaction parallelism, IoT security metrics, and formal methods for SELinux configurations. He actively contributes to tools like FWS (Firewall Synthesizer) and VeriOSS for bug bounty protocols. His research emphasizes interdisciplinary approaches, combining cybersecurity with distributed systems and embedded computing.

• Computer Science
• Software Verification
• Static Analysis
• +۴ مورد دیگر

Pietro Ferrara is an Associate Professor in the Department of Environmental Sciences, Informatics and Statistics at Ca' Foscari University of Venice. His research focuses on applying abstract interpretation-based static analysis to address security vulnerabilities in software systems, particularly in blockchain smart contracts, IoT devices, and distributed systems. He is a member of the Software and System Verification group and has contributed to frameworks like LiSA for multilanguage static analysis. Teaching responsibilities include courses such as Software Architectures, Object-Oriented Programming, and Introduction to Coding and Data Management across undergraduate and graduate programs. His work emphasizes formal verification techniques, cybersecurity, and privacy enforcement in modern software systems. Recent research explores static analysis for detecting concurrency issues in Hyperledger Fabric, vulnerabilities in Go-based smart contracts, and GDPR-compliant privacy analysis. Ferrara collaborates with industry on practical applications of formal methods, including security policy extraction for ROS2 and industrial blockchain software determinism. His research has been published in top venues such as ACM SAC and IEEE Access, with a strong focus on bridging theoretical program analysis with real-world software systems. He maintains an active presence in open-source tools and educational materials for static analysis techniques.

• Energy Systems
• Hydrogen Energy
• Decarbonization
• +۳ مورد دیگر

Alessandro Balbo is a PhD Student in Energetics (39th cycle, 2023-2026) and Research Fellow at the Department of Energy (DENERG), Politecnico di Torino. His primary affiliation is with the MAHTEP Research Group within DENERG. His research focuses on energy systems with particular emphasis on hydrogen energy, decarbonization strategies, and the integration of sustainable development goals into energy policy. He utilizes open-source energy system optimization models to analyze the role of hydrogen in achieving national decarbonization targets, especially in the Italian context. Recent publications demonstrate a trend towards interdisciplinary research combining energy policy, technological innovation in power transmission (such as superconducting pipelines for hydrogen and electricity), and sustainable development. His work often involves modeling and policy analysis to enable coherence between energy policies and the Sustainable Development Goals. He is actively involved in the MAHTEP Research Group, contributing to projects that explore advanced energy technologies and their systemic implications.