جست‌وجوی استاد و پژوهشگر

• Software Engineering
• Distributed Systems
• Simulation Engineering
• +۳ مورد دیگر

Emiliano Paglia is a Professor at the Department of Engineering Management, University of Rome Tor Vergata. He specializes in software engineering, distributed systems, and simulation engineering. His research focuses on cloud-based modeling, service-oriented architectures, and safety-critical simulation processes. He has contributed to frameworks like ArTIC-MS for inter-cloud simulation and rethinking MSaaS methodologies. Paglia teaches courses such as Service-oriented Software Engineering and Internet-based Distributed Simulation. He actively participates in academic events like ANNSIM and CoMetS conferences. Education: Not explicitly listed, but inferred through professional roles and publications. Research Interests: His work combines cloud computing with simulation engineering to address challenges in distributed systems. Recent efforts emphasize safety-critical applications and scalable simulation-as-a-service models. He explores TOSCA standards for inter-cloud interoperability and process reengineering in simulation workflows. Teaching: Service-oriented Software Engineering (2021/22) Internet-based Distributed Simulation (2020/21) Software Systems (2021/22) Software Engineering (2020/21) Grants & Labs: No specific grants or lab affiliations mentioned, but involvement in academic initiatives like the M&S Based Systems Engineering track at ANNSIM 2022 suggests collaborative research efforts.

MARIANNA CAPECCIمشاهده پروفایل

دانشیار

• Neurorehabilitation
• Parkinson's Disease Management
• Telerehabilitation
• +۴ مورد دیگر

Prof. Marianna Capecci is an Associate Professor at the University of Ancona (Università Politecnica delle Marche), affiliated with the Department of Experimental and Clinical Medicine. She specializes in neurorehabilitation, focusing on Parkinson's disease and advanced rehabilitation technologies. Her work integrates clinical practice with innovative approaches like telemedicine, wearable sensors, and machine learning to improve patient outcomes. Her research addresses non-motor symptoms in neurodegenerative diseases, including chemosensory impairments and multidisciplinary care strategies. Key projects include the RAPIDO tele-rehabilitation system and the PREPARE AI-driven stratification initiative for Parkinson's patients. Dr. Capecci also investigates postural abnormalities, robotic gait training, and sensor-based monitoring for movement disorders. Publications span over a decade, emphasizing technological advancements in rehabilitation, including smartwatch emotion recognition, federated learning for outcome prediction, and edge-cloud architectures for healthcare devices. She collaborates with national and international institutions to advance clinical methodologies and address unmet needs in physical medicine education and practice. Dr. Capecci holds office hours for students and maintains clinical ties with the Az. Ospedaliero-Universitaria delle Marche hospital. Her work bridges clinical research and real-world applications, aiming to enhance accessibility and quality of care for neurorehabilitation patients globally.

Marino Miculanمشاهده پروفایل

استاد

• Cybersecurity
• Formal Methods
• Distributed Systems
• +۳ مورد دیگر

Marino Miculan is a Professor of Computer Science at the University of Udine, leading the MADS Lab and Cybersecurity Lab. His research focuses on formal methods, cybersecurity, and distributed systems, with an emphasis on verifying security in concurrent systems. He has authored over 100 publications and contributed to 16 research projects. His research interests include formal verification of security protocols, distributed computing architectures, and the application of category theory to system modeling. He has developed frameworks like Netstaldi for network discovery and tools such as DBCChecker for analyzing container compositions. Miculan’s work bridges theoretical foundations (e.g., adhesive categories, behavioral equivalences) with practical applications in IoT security, multi-factor authentication, and cloud containerization. His labs explore cutting-edge topics like continuous learning for anomaly detection and stateful access control mechanisms.

Andrea Pietropolli Charmetمشاهده پروفایل

دانشیار

• Physical Chemistry
• Computational Chemistry
• Infrared Spectroscopy
• +۵ مورد دیگر

Andrea Pietropolli Charmet is an Associate Professor in the Department of Molecular Sciences and Nanosystems at Ca' Foscari University of Venice . His research focuses on Physical Chemistry , particularly in Computational Chemistry and Infrared Spectroscopy , addressing molecular interactions in atmospheric , industrial , and astrophysical contexts. He supervises the Research Institute for Complexity Safety laboratory and collaborates with international teams on projects funded by MUR , MIUR , and Bando Fondo per la Crescita Sostenibile .

Chiara De Bastianiمشاهده پروفایل

پژوهشگر

• Germanic Philology
• Historical Linguistics
• Digital Humanities
• +۴ مورد دیگر

Chiara De Bastiani is a fixed-term researcher at the Department of Comparative Linguistic and Cultural Studies of Ca' Foscari University of Venice . Her work focuses on Germanic Philology , Historical Linguistics , and Digital Humanities , with expertise in Corpus Linguistics and Computational Linguistics . She is affiliated with the OntoVE Knowledge Base and has contributed to projects like Wiedererzählen im Norden and European Open Science Cloud (EOSC) . Education : PhD in Languages, Cultures, Modern Societies and Language Sciences (2015-2019), Master's in Language Sciences (2012-2015), Bachelor's in Languages and Language Sciences (2009-2012). Her research explores the history of Germanic languages , wh-phrase evolution , and digital preservation of cultural heritage . She uses computational methods and ontologies to analyze historical texts and promote inclusivity in Digital Humanities . Recent projects include digital editions of texts and word order changes in English history . Her publications (2024-2025) address topics like V3 syntax in German , semantic ontologies , and accessibility in digital education , reflecting interdisciplinary work bridging historical linguistics and digital methodologies . Proficient in English (advanced) and German (advanced), she collaborates internationally and contributes to conferences like AIUCD and DH2024 .

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.

• Continual Learning
• Deep Learning
• Distributed Learning
• +۳ مورد دیگر

Vincenzo Lomonaco is a Researcher at the University of Pisa's Department of Computer Science, specializing in Continual Learning. He leads the Pervasive AI Lab and holds roles such as Co-Founding President of ContinualAI, a non-profit advancing AI research. His work focuses on deep learning, distributed systems, and AI sustainability, with key contributions including the Avalanche library (winner of the W&B Best Library Award) and foundational research in Continual Learning. Education: PhD in AI from the University of Bologna (2019), recognized as one of Italy's top-5 AI dissertations. Postdoctoral research and visiting roles at institutions like Numenta, Purdue University, and ENSTA ParisTech. Research Interests: Continual Learning dynamics, practical applications, and AI sustainability. Active in industrial collaborations (e.g., Meta, Intel), European projects, and initiatives like FAIR (Future Artificial Intelligence Research). Notable Achievements: Organized the 1st Continual Learning workshop at CVPR 2020, authored an open-access Continual Learning course (430+ students), and co-founded ContinualIST, a University of Pisa spin-off.

• Thermodynamics
• Heat Transfer
• Fluid Dynamics
• +۴ مورد دیگر

Marco Cavazzuti is an Associate Professor at the Department of Engineering Sciences and Methods (DISMI) at the University of Modena and Reggio Emilia. His research focuses on thermodynamics, fluid dynamics, and energy systems, with a particular emphasis on computational fluid dynamics (CFD), heat transfer, and renewable energy applications. Cavazzuti teaches courses in Energy Engineering, Thermofluid Dynamics, and Industrial Heat Engineering, integrating theoretical and practical components with computational tools like OpenFOAM and Python. His research interests include multi-scale modeling of respiratory droplet transport for infectious disease risk assessment, plate-fin heat exchanger optimization, and thermal management of electric motors. He has contributed to projects like the IDEAS initiative for multi-source heat pump systems and the analysis of tunnel ventilation systems using 1D finite volume models. Cavazzuti's work spans both academic and industrial collaborations, addressing challenges in energy efficiency, CFD validation, and thermal system design. Key research trends in his publications include CFD-based modeling of complex flows (e.g., micro-channels, swirled jets), epidemiological droplet transport analysis, and optimization of thermal systems for renewable energy integration. He has also explored applications in automotive chassis design and cardiovascular flow dynamics using ultrasound and computational methods.

• Computer Science
• Artificial Intelligence
• Distributed Systems
• +۳ مورد دیگر

Giacomo CABRI is a Full Professor at the University of Modena and Reggio Emilia, affiliated with the Department of Physical, Computer and Mathematical Sciences. His roles include teaching advanced courses such as Distributed Algorithms, Object-Oriented Programming, and Software Development Methodologies across multiple disciplines including Computer Science, Mathematics, and Medicine. His research focuses on distributed systems, autonomous vehicles, smart cities, and digital twins, with a strong emphasis on applying AI and machine learning to real-world challenges. He actively contributes to academic communities through editorial roles and conference organization. Research interests span distributed algorithms, multi-agent systems, smart infrastructure, and socio-technical systems. His work bridges theoretical foundations with practical applications in transportation, manufacturing, and environmental monitoring. Recent publications highlight innovations in autonomous vehicle coordination, digital twin implementations, and context-aware systems. Teaching responsibilities include courses for Computer Science, Mathematics, and interdisciplinary programs such as Medicine and Dentistry. He integrates hands-on labs and project-based learning, emphasizing practical software development and algorithm design. His courses cover topics like object-oriented programming in Java, distributed systems, and big data architectures. Professional activities include organizing workshops on adaptive computing and collective intelligence, and leading projects like the FIRST initiative for virtual factories. His work addresses challenges in interoperability, scalability, and self-adaptation in complex systems. He maintains a personal website and is active in international collaborations through platforms like ORCID (0000-0002-4942-2453).

• Industrial Economics
• Managerial Economics
• Competition Policy
• +۶ مورد دیگر

Andrea Mantovani is a Full Professor at Toulouse Business School (TBS Education) and holds an Associate Professor position at the University of Bologna (currently on unpaid leave). He is an Associate Member of the Toulouse School of Economics. His academic journey includes a PhD in Quantitative Economics from CORE, Université Catholique de Louvain, and a PhD in Economics from the University of Bologna. Mantovani's research focuses on industrial economics, digital platforms, competition policy, game theory, and environmental economics. He has published in top journals like Management Science and the Journal of the European Economic Association. Education highlights include his M.A. in Economics (University Catholique de Louvain) and a Laurea in Political Science with Economics from the University of Bologna. He has held visiting appointments at institutions such as the EU Science Hub and the Kellogg School of Management. His research interests span platform regulation, innovation economics, and environmental policies. Recent work examines price parity clauses, digital health, and cloud computing economics. He has received multiple awards, including the 2024 Best Teacher award and the 2018 Distinguished Teaching Award. His grants include the ANR AAPG (2021) and multiple NET Institute grants. Mantovani advises on projects like the TEPREME initiative on telemedicine and health innovation. He leads the MSc in Purchasing & Supply Chain Management at TBS and has coordinated international academic programs. His professional activities include consulting on regulatory frameworks and economic analysis for legal firms.

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.

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.

• Theoretical Computer Science
• Distributed Systems
• Reversible Computation
• +۱ مورد دیگر

Claudio Antares Mezzina is an Associate Professor in the Department of Pure and Applied Sciences at the University of Urbino Carlo Bo, specializing in theoretical computer science with research focus areas in reversible computation, distributed systems, and formal methods. Research Focus: His work centers on developing formal models for concurrent and distributed systems, particularly exploring reversible computational frameworks, Petri net applications in biochemical systems, and operational semantics for process algebras. Teaching: Mezzina teaches advanced courses including Distributed Applications and Cloud Computing, Software Engineering and Architecture, and Distributed Systems, with materials often available in both Italian and English.

• Electromagnetic Fields
• Bioelectromagnetics
• Electromagnetic Compatibility
• +۱۲ مورد دیگر

Luciano Tarricone is a Full Professor of Electromagnetic Fields in the Department of Innovation Engineering at the University of Salento, Italy. He teaches core courses such as Electromagnetic Fields for the Bachelor's in Information Engineering and Applied Electromagnetics for the Master's in Communication Engineering and Electronic Technologies. His office is located at the Ecotekne Center, Pal. O, Lecce-Monteroni. He has been actively involved in academic and research activities at the university since 2001. His research focuses on the interaction between electromagnetic fields and biological systems, numerical dosimetry using parallel FDTD methods, innovative radiopropagation modeling, optimization of radio base station networks, CAD of antennas and microwave circuits, and supercomputing applications in electromagnetics. He coordinates the Electromagnetic Fields research group and has led multiple industrial and fundamental research projects. His expertise spans both theoretical and applied aspects of electromagnetics, with strong interdisciplinary connections to biomedical engineering and telecommunications. The recent publications and teaching materials reflect a consistent focus on bioelectromagnetics, EM safety, wireless technologies (including RFID and IoT), radar systems, and computational methods. His work integrates theoretical modeling, numerical simulation, and practical applications in health, telecommunications, and environmental monitoring. Full Professor of Electromagnetic Fields (ING-INF/02) Chair of Electromagnetic Fields Coordinator, Electromagnetic Fields Research Group Member of various academic committees at department and faculty levels Luciano Tarricone has not received any explicitly mentioned scientific awards in the provided text. However, his leadership in research projects and extensive teaching responsibilities indicate significant academic recognition. He advises students through project-based learning in his Applied Electromagnetics course, where students develop and present practical projects. Although specific grant details are not listed, he has coordinated several basic and industrial research projects. His research group is active in multiple domains, particularly bioEM interaction, human-antenna dosimetry, and computational electromagnetics, with potential collaborations in biomedical and telecommunications sectors.