جست‌وجوی استاد و پژوهشگر

• Computer Graphics
• Virtual Reality
• Augmented Reality
• +۶ مورد دیگر

Francesco Strada is a Fixed-term Assistant Professor at the Department of Control and Computer Engineering (DAUIN) at Politecnico di Torino. He serves as a Course Lecturer for Virtual Reality and Technical Art for Cinema and Video Games, and as a Course Collaborator for multiple courses across Computer Engineering, Film and Media Engineering, and Architecture programs. He is an active member of the College of Computer, Film and Mechatronics Engineering and the College of Architecture and Design teaching committees. Dr. Strada's research focuses on Computer Graphics, Virtual Reality, Augmented Reality, and Human-Computer Interaction with particular emphasis on Embodied Conversational Agents, emotion recognition, and serious games applications. His work bridges technical computer science with psychological and human factors considerations to create more believable and effective virtual experiences. His research spans applications in education, healthcare, automotive interfaces, cultural heritage, and emergency response training. His recent publications demonstrate a strong trend toward emotionally intelligent virtual agents, VR/AR applications in specialized domains, and technical innovations in latency management and digital human representation. His work often combines psychological principles with technical implementations to enhance user experience and system effectiveness. Dr. Strada actively supervises PhD students including Alessandro Emmanuel Pecora, Stefano Calzolari, and Leonardo Vezzani, whose research focuses on Emotionally Aware Embodied Conversational Agents (E2CA) and Car AR-HUD design. He leads significant research projects including Holo-BLSD (2024-2025), a Mixed Reality tool for first aid emergency response training, and '50 shadows of AI' (2025), focusing on personalized education in corporate settings. He is a member of the CGVG - Computer Graphics and Vision Group at DAUIN, where his team develops cutting-edge applications in AR/VR, Human-Computer Interaction, User Experience, Computer Vision, Machine Learning, and Artificial Intelligence. His research has practical applications in education, training, healthcare, automotive interfaces, and cultural heritage preservation.

Beppe Liottaمشاهده پروفایل

استاد

• Network Analysis
• Graph Drawing
• Data Visualization
• +۵ مورد دیگر

Beppe Liotta is a Full Professor at the Department of Engineering, University of Perugia. He serves as Rector Delegate for ICT and Digital Agenda. His research spans network discovery, graph drawing, algorithm engineering, and computational geometry . Laurea in Electrical Engineering (1990), Ph.D. in Computer Engineering (1995), both from University of Rome 'La Sapienza' Post-doc at Brown University (1995-1996) Current teaching: Information Visualization and Database Management Systems Liotta has authored over 170 papers and led projects like VisFAN (financial crime detection), VHyXY (large graph visualization), COWA (web traffic analysis), and WhatsOnWeb (web clustering). His work focuses on hybrid visualizations and network robustness . Recent articles highlight his expertise in biological networks , financial activity networks , and one-to-many matched graph visualizations . He has contributed to journals like IEEE Transactions on Visualization and Computer Graphics and conferences including PacificVis and Graph Drawing . Liotta actively participates in scientific service, including editorial roles for the Journal of Graph Algorithms and Applications and program committees for IEEE PVIS 2019.

• Organizational Behavior
• Work Design
• Gig Economy
• +۳ مورد دیگر

Fabiola Bertolotti is a Full Professor at the Department of Engineering Sciences and Methods, University of Modena and Reggio Emilia. Her research focuses on organizational behavior, work design in digital platforms, gig economy dynamics, and multiple team membership (MTM). She teaches courses such as 'Organizational Systems and Behavior' for Management Engineering students, emphasizing strategic design, group dynamics, and leadership theories. Her work integrates empirical studies with interdisciplinary frameworks to address contemporary workplace challenges like algorithmic work environments and hybrid collaboration. Key research interests include the impact of technology on work-life balance, algorithmic governance in online labor markets, and identity formation in inter-organizational partnerships. She has published extensively on topics like crowdwork platforms, MTM's influence on career trajectories, and boundary spanning in innovation projects. Her studies often employ mixed-methods approaches, combining field observations with surveys and interviews. Bertolotti's contributions bridge organizational theory, management practices, and technological advancements, offering insights into future of work dynamics. Her recent publications explore algorithmic embeddedness in gig work, dynamic stereotyping in academic-practitioner exchanges, and the trade-offs between creativity and work-life balance in collaborative spaces. While no specific awards are listed, her prolific output reflects significant scholarly impact. Teaching responsibilities include guiding students through foundational concepts in organizational theory and strategic design, with a focus on real-world case analysis and participatory learning.

Massimo Mecellaمشاهده پروفایل

استاد

• Service-Oriented Computing
• Business Process Management
• Process Mining
• +۱۲ مورد دیگر

Massimo Mecella serves as Full Professor at Sapienza University of Rome's Faculty of Information Engineering, Computer Science and Statistics, where he leads the Processes, Services and Software Management research group and participates in the CINI National Cyber Security Lab. His academic foundation stems from a PhD in Computer Engineering earned at Sapienza in 2002. His research expertise spans service-oriented computing, business process management, and cyber-physical systems with emphasis on service composition, process mining, and adaptive distributed architectures. Key technical domains include IoT integration, digital twin development, and security frameworks for complex software ecosystems. Recent publications (2024-2025) demonstrate a pronounced shift toward Large Language Model (LLM) integration in business processes and smart manufacturing. Dominant themes include LLM-driven process modeling, multimodal quality control systems, and digital twin implementations for energy management and production optimization. Methodological innovations focus on retrieval-augmented generation (RAG) for service discovery and fuzzy cognitive maturity assessments. His distinguished recognition includes: ICSOC 2013 Most Influential Paper Award (2003-2012 decade) 2017 Best Paper Award As research group leader, Mecella directs projects in smart manufacturing, process mining, and cyber-physical security, with funding typically sourced from EU initiatives and industry partnerships in aerospace, healthcare, and energy sectors. His team maintains active collaborations with aerospace manufacturers through the MICS SPOKE8 project and develops frameworks like SAMBA for human-in-the-loop manufacturing systems. The Processes, Services and Software Management group operates within Sapienza's engineering faculty infrastructure, utilizing specialized labs for CPS/IoT testing and digital twin simulation, with strong ties to the CINI Cyber Security Lab for security validation.

• Software Engineering
• Formal Methods
• Software Architectures
• +۷ مورد دیگر

Patrizia Scandurra is an Associate Professor at the Department of Management, Information and Production Engineering, University of Bergamo, Italy. Her academic appointment in Computer Science (01/B1) spans from 2022 to 2033. She previously held roles as a researcher at the University of Bergamo (2009-2017) and postdoctoral fellow at the University of Milan (2006-2008). She earned her PhD in Computer Science (2006) and Bachelor's degree (2002) from the University of Catania. Research Focus : Software architectures and formal methods for modeling, validation, and verification of software-intensive systems. Specializations : Runtime analysis of self-adaptive, autonomous, and uncertain systems including IoT-Edge-Cloud applications, embedded systems, and system-on-chip. Collaborations : STMicroelectronics, Atego, Bialetti, and ENEA. Conference Involvement : Program/organizing committees for ICSE, ASE, ISSRE, ICSA, ECSA, SEAMS@ICSE, ABZ, SA-TTA@SAC, FAACS@ECSA. Research Projects : Model-driven development for robotics, adaptive architectures for pervasive systems, big data in smart cities, and digital twins for medical systems. Notable Contributions : Development of the ASMETA formal method community tools and frameworks for rigorous system design. She has published over 100 peer-reviewed works in international journals and conferences.

• Artificial Intelligence
• Neuromorphic Computing
• Brain-inspired Computing
• +۱۳ مورد دیگر

Vittorio Fra is a Fixed-term Assistant Professor at the Interuniversity Department of Regional and Urban Studies and Planning (DIST) at Politecnico di Torino, where he conducts research in artificial intelligence, neuromorphic computing, edge computing, and robotics. He is a member of the PIC4SeR Interdepartmental Center for Service Robotics and contributes to interdisciplinary research bridging engineering, nanotechnology, and smart urban systems. His research interests center on AI and neuromorphic computing for industrial and IoT applications , with strong emphasis on brain-inspired computing, memristive devices, and nanoscale technologies. His work spans from low-level hardware characterization to high-level algorithm design, integrating machine learning, bio-inspired computing, and scientific simulation. He actively explores neuromorphic solutions for real-world edge applications such as human activity recognition, smart traffic control, and assistive technologies like Braille readers. The trend across his recent publications (2022–2025) reveals a consistent focus on deploying spiking neural networks and neuromorphic architectures on commercial edge devices, optimizing neural execution, developing benchmarking tools (e.g., NeuroBench, WiN-GUI), and validating neuromorphic solutions on practical problems like Sudoku and the knapsack problem. His work bridges theoretical AI with applied engineering, targeting sustainability and innovation in infrastructure and urban communities. Scientific Awards: No scientific awards explicitly mentioned in the text. Advising and Grants: Vittorio Fra supervises Filippo Aisa , a PhD candidate in Electrical, Electronic, and Communications Engineering. He leads a commercially funded research project titled Supporto allo sviluppo di un smart digital water distributor monitoring system (2025–2026) , serving as the Scientific Responsible. His teaching roles include PhD instruction, course collaboration, and invited membership in academic councils across engineering and planning programs. Labs and Research Teams: He is a member of the PoliTO Interdepartmental Centre for Service Robotics (PIC4SeR) , a multidisciplinary research center focused on robotics for societal applications. His collaborations span multiple institutions and projects, involving teams working on neuromorphic ecosystems (e.g., Lava-Loihi), wireless sensor networks, and brain-inspired computing frameworks.

• Human-Computer Interaction
• Usability Engineering
• User Experience
• +۷ مورد دیگر

Rosa Lanzilotti is a Full Professor in the Department of Computer Science at the University of Bari Aldo Moro, Italy, where she has established herself as a leading researcher in Human-Computer Interaction (HCI) and Usability Engineering. As a core member of the IVU (Interaction Visualization Usability and UX) Laboratory, she coordinates research on Usability Engineering and UX practices, and Human-Centered Artificial Intelligence. With over 90 publications in top-tier journals and conferences, her work bridges academic research with practical applications in industry and public institutions. Dr. Lanzilotti earned her PhD in Computer Science from the University of Bari in May 2006. Her doctoral research developed the ELSE (e-Learning Systematic Evaluation) methodology, which combines inspection and usability testing to achieve more reliable results for evaluating e-learning systems. She also pioneered Pattern-Based inspection techniques that guide evaluators through detailed evaluation patterns. Her research spans multiple domains including educational technology, cultural heritage, healthcare, and smart environments. She has designed and evaluated numerous educational games for mobile devices and large multi-touch displays, resulting in a patent (n. 1401512, 2013) for a multimedia framework supporting site visits. Her work in End-User Development (EUD) explores how non-technical users can customize systems in healthcare and cultural heritage contexts through participatory design with domain experts. Recent publications (2019-2024) show increasing focus on integrating AI with human-centered design, privacy considerations in UX, and cybersecurity applications of HCI principles, particularly for public administration systems. As an active member of the Italian Working Group on Usability (GLU), she works to improve public administration websites and advocate for explicit usability requirements in ICT procurement. Her conference service includes Technical Program Co-Chair for INTERACT 2021 and various leadership roles in AVI, IEEE SMC, and womENcourage conferences. She teaches courses including 'Interacting with Intelligent Systems' (Master's level), 'Human-Computer Interaction for AI' (PhD level), and various undergraduate courses on Human-Machine Interaction at the University of Bari.

• Computer Networks
• Edge Computing
• Internet of Things (IoT)
• +۵ مورد دیگر

Paolo Bellavista is a Full Professor of Distributed and Mobile Systems at the Department of Computer Science - Science and Engineering, Alma Mater Studiorum – University of Bologna. His research focuses on edge computing, federated learning, IoT, digital twins, and blockchain applications. With over 140 journal articles and 200+ conference papers, his work appears in top venues such as ACM Computing Surveys and IEEE Transactions. He serves as Editor-in-Chief of the MDPI Computers Journal and holds editorial roles in IEEE Communications Surveys&Tutorials and ACM Computing Surveys. His contributions span network optimization, cybersecurity, and smart cities, with notable achievements in citation metrics (h-index 46 on Google Scholar). Research interests include distributed systems, vehicular networks, AI-driven security, and QoS-aware edge infrastructures. He has organized major conferences like IEEE Mobile Cloud and ACM ICDCN. Current projects explore federated learning unlearning, digital twin entanglement, and blockchain-based data spaces. His work bridges theoretical foundations with real-world deployments in smart manufacturing and healthcare. Editorial Roles : MDPI Computers (Editor-in-Chief), IEEE Communications Surveys&Tutorials (Associate Editor), ACM Computing Surveys (Editor) Conference Leadership : Technical Program Chair for IEEE Mobile Cloud 2015, General Co-Chair for SCNS 2018 Key Contributions : Over 140 journal papers, 15 special issues as guest editor, and 200+ conference publications His lab develops middleware for edge-cloud continuum applications and collaborates internationally on projects like InAbled Cities. Office hours are held weekly at the University of Bologna’s DISI department.

• Innovation Management
• Product Development
• Engineering Design
• +۴ مورد دیگر

Francesca Montagna is an Associate Professor at the Department of Management and Production Engineering (DIGEP) , Politecnico di Torino . She serves as Director of the University Strategies Study Center and holds leadership roles in the Politecnico University Centre for Social Affairs. Her research focuses on Innovation Management , Product Development , and Decision-Making Processes in engineering design. Scientific disciplinary sector: IIND-04/A - Manufacturing Technologies and Systems ERC sectors: Industrial design, Management, Decision-Making, Technological Change SDG Goal 9: Industry, Innovation, and Infrastructure Her recent work explores data-driven design , digital transformation , and operations management in manufacturing. She has supervised 8 PhD students, including Graziana Blandino and Teresa Monti , and contributed to projects like NO-STRESS Manufacturing and AIGEDA . Awards include Elsevier's Top 5 Most Highly Cited Papers in Design Studies (2014-2016) . Francesca collaborates with entities such as EIT-Manufacturing and Legacoop Piemonte , and actively participates in international conferences like the International Conference on Engineering Design (ICED) . She is a reviewer for journals including Journal of Engineering Design and Research in Engineering Design .

• Computer Science
• Software Engineering
• Service-Oriented Architecture
• +۷ مورد دیگر

Stefano Cirillo is a Researcher at the University of Salerno , affiliated with the Department of Computer Science . His work spans software engineering, cybersecurity, and service-oriented systems. Email: scirillo@unisa.it Office Location: Fisciano Campus, Building F2, Room 041 (L8 Laboratory) Reception Hours: Tuesday & Thursday, 2:30 PM - 4:00 PM Research Interests include model-driven engineering , agile software development , and cloud-native architectures . He explores service-oriented platforms for educational tools and quality assessment in distributed environments. Key publication trends highlight cybersecurity integration , software modularity , and automated testing for microservices. Projects emphasize collaborative development and ontology-based resource management .

Alessandro Russoمشاهده پروفایل

پژوهشگر

• Semantic Technologies
• Assistive Robotics
• Ontology Engineering
• +۳ مورد دیگر

Alessandro Russo is a researcher at the Institute of Cognitive Science and Technologies (ISTC) of the National Research Council (CNR) in Italy, where he contributes to the Semantic Technology Laboratory (STLab). Since 2015, he has been engaged in EU-funded projects like MARIO (Managing active and healthy aging with caring service robots), SMART VORTEX, and WORKPAD, focusing on knowledge-driven cognitive robot architectures, ontology engineering, and process-aware systems. He earned a PhD in Engineering in Computer Science from Sapienza Università di Roma (2010–2015), where he explored data-centric methodologies for Business Process Management. His research spans semantic technologies, assistive robotics, and healthcare informatics, with a strong emphasis on ontology-based knowledge management for geriatric assessment and reminiscence therapy. Alessandro has authored influential works in these domains, including foundational articles on social robot architectures and ontology design patterns for cognitive agents. His work often intersects with applications in emergency management, clinical workflows, and financial systems. Recent projects highlight his expertise in neurosymbolic AI, multimodal data integration, and software quality modeling. While no formal awards are listed, his involvement in high-impact EU initiatives underscores his role in advancing semantic and robotic technologies for societal benefit. He collaborates with interdisciplinary teams and contributes to tools like the Text2AMR2FRED pipeline for knowledge graph generation.

Giorgia Lodiمشاهده پروفایل

پژوهشگر

• Semantic Web Technologies
• Linked Open Data
• Ontology Design Patterns
• +۴ مورد دیگر

Giorgia Lodi is a Researcher at the Semantic Technology Laboratory (STLab) of the Institute of Cognitive Science and Technologies (ISTC) under the National Research Council (CNR) in Italy. She also serves as a consultant at AgID (Agenzia per l'Italia Digitale). Her work integrates Semantic Web technologies, Linked Open Data, and distributed systems to advance smart governance and community development. Research Interests: Semantic Web Technologies Ontology Design Patterns Smart Cities and Communities Linked Open Data Big Data Applications Key Contributions: Recent publications focus on knowledge graphs for water-health domains (2023-2025), semantic modeling in cultural heritage (2017-2024), and ontology design patterns for IoT and public data (2016-2017). Earlier work includes privacy solutions for cloud computing (2012-2013) and failure prediction in distributed systems (2012). Laboratory: Affiliated with STLab at CNR-ISTC, where she contributes to semantic technology research and development.

Andrea Dettiمشاهده پروفایل

استاد

• Computer Networks
• Information-Centric Networking (ICN)
• Cloud Computing
• +۳ مورد دیگر

Andrea Detti is a Professor at the Department of Electronic Engineering, University of Rome Tor Vergata. His research focuses on computer networks, particularly Information-Centric Networking (ICN), Cloud Computing, and Software Defined Networks (SDN). He has coordinated major EU projects like Fed4IoT and BONVOYAGE, addressing IoT and Intelligent Transport Systems. He serves as Associate Editor for IEEE Transaction on Network and Service Management and has guest-edited special issues on ICN. His teaching includes courses on Internet Technologies, Mobile Wireless Networks, and Cloud Computing, emphasizing hands-on labs with Linux, Cisco routers, and OpenStack. Key projects include leadership roles in EU initiatives such as ICN2020, GreenICN (energy-efficient ICN), and OFELIA (ICN over SDN). He coordinates industrial projects with Telecom Italia and SSI/Finmeccanica on publish-subscribe paradigms in MANET and DTN. His research spans ICN scalability, adaptive video streaming, and satellite communication optimizations. Publications (80+) cover ICN architecture, SDN integration, and network performance modeling. He actively participates in conferences and standardization efforts, contributing to the evolution of future Internet architectures.

Andrea D'Ambrogioمشاهده پروفایل

دانشیار

• Software and Systems Engineering
• Systems and Software Performance Engineering
• Model-Driven Systems Engineering
• +۳ مورد دیگر

Prof. Andrea D'Ambrogio is an Associate Professor of Software and Systems Engineering at the Department of Enterprise Engineering, University of Roma 'Tor Vergata' (Italy). He previously held roles such as Assistant Professor of Computer Science and Research Associate at the same university, and contributed to projects in Europe and internationally. His research focuses on software/systems performance, model-driven engineering, business process management, and distributed simulation. He has led over 20 international conferences and initiated workshops like CoMetS and Mod4Sim. He currently serves as President of the Society for Modeling & Simulation International (SCS), and is a member of IEEE, ACM, and INCOSE. Research Contributions: Prof. D'Ambrogio has authored over 150 publications in journals and conferences. His work emphasizes simulation engineering processes, MSaaS (Modeling & Simulation as a Service), and the integration of IoT with business processes. Recent studies address distributed simulation interoperability, pandemic impact analysis on healthcare systems, and low-code simulation frameworks. Leadership & Editorial Roles: He has served as General Chair for major events like SpringSim'19 and SummerSim'18. He is an Associate Editor of the SIMULATION journal and editorial board member of IAENG International Journal of Computer Science. His leadership in SCS advances global standards in modeling and simulation practices. Teaching: Teaches courses such as Service-Oriented Software Engineering, Software Systems, and Internet-Based Distributed Simulation. His academic contributions span both theoretical advancements and practical applications in enterprise systems engineering.

Alessandro Marcellettiمشاهده پروفایل

استادیار

• Blockchain Technology
• Business Process Management
• Distributed Systems
• +۵ مورد دیگر

Alessandro Marcelletti is an Assistant Professor with a focus on blockchain technology and its applications in business processes, distributed systems, and software engineering. His research explores the integration of blockchain into choreography-based systems, smart contracts, and identity management frameworks. He contributes to advancements in decentralized coordination mechanisms, data extraction methodologies for smart contracts, and cybersecurity awareness through gamification. Key research areas include blockchain-based execution of BPMN choreographies, model-driven frameworks for self-sovereign identity systems (ChorSSI), and digital twin approaches for smart contracts. His work emphasizes balancing confidentiality and transparency in process-aware systems while ensuring auditability and trustworthiness. Alessandro’s publications span blockchain applications in IoT, MLOps pipelines, and REST interaction coordination, reflecting his interdisciplinary approach. He has developed tools like FabNet for automated Hyperledger Fabric deployment and SEC-GAME for cybersecurity education. No awards or grants are explicitly mentioned, and his academic affiliations remain unspecified in the provided texts.