Carole Goble is a Professor at the School of Computer Science , University of Manchester , UK. Her work bridges semantic technologies , distributed systems , and social computing to address information management challenges in life sciences and beyond. Director of the myGrid e-Science consortium (http://www.mygrid.org.uk) Developed transformative tools: Taverna , myExperiment , BioCatalogue , SEEK , and MethodBox Partner in UK's Open Middleware Infrastructure Institute and Software Sustainability Institute Active in EU scientific programs for Systems Biology , Biodiversity , Astro-Physics , Astronomy , and Digital Library preservation Research Focus : Carole's research integrates semantic technologies and social computing to create scalable data integration solutions. Her projects emphasize automated workflow systems (e.g., Taverna), collaborative platforms (myExperiment, SEEK), and service curation (BioCatalogue, MethodBox), primarily serving interdisciplinary sciences. Scientific Awards : Recognized with prestigious accolades: 2008: Inaugural Microsoft Jim Gray Award for e-Science contributions 2010: Elected Fellow of the Royal Academy of Engineering
Domenico Scotece is a Fixed-Term Researcher (Junior) in the Department of Computer Science and Engineering (DISI) at the University of Bologna, specializing in Information Processing Systems. He holds a PhD in Computer Science and Engineering (2020) and a Master's degree in Computer Engineering (2014), both from the University of Bologna. Teaches Fundamentals of Computer Science and T-AB Laboratory (2022/2023 to present) Co-supervises Bachelor's and Master's theses on mobile and distributed systems Active in IEEE conferences as reviewer and Technical Program Chair His research focuses on Edge/Fog Computing, 5G/6G infrastructure design, IoT, and software-defined networking. He has contributed to over 20 publications with more than 150 citations (H-index: 7) in journals like IEEE Access and Journal of Network and Systems Management. Additional activities include chairing the IEEE Student Branch of Bologna (since 2018) and serving as a regular reviewer for 10+ international journals.
Massimo Torquati is an Associate Professor in the Computer Science Department at the University of Pisa. He holds Italian National Scientific Qualifications (ASN) for Full Professor (2023) and Associate Professor (2018) roles in Computer Science and Engineering. His research focuses on high-level tools for parallel programming, autonomic computing, and high-performance data stream processing. He is a member of key organizations like the CINI HPC-KTT National Laboratory, the European HiPEAC Network, and the Parallel Programming Models Group at Pisa. Research Interests: Parallel programming models, distributed systems, concurrency control, and software frameworks like CAPIO and WindFlow. Recent work includes advancements in distributed-memory FastFlow, adaptive streaming, and middleware for scientific workflows. Awards include the ASN qualifications, reflecting his academic standing. He actively contributes to conferences like Euro-Par and workshops on HPC infrastructure. His work emphasizes practical implementations of parallel patterns and scalable computing solutions.
Rebecca Montanari is a Full Professor at the University of Bologna's Department of Computer Science - Science and Engineering since 2020, and currently serves as Vice-Rector for Digital Transformation. Her research focuses on information security, middleware for mobile/pervasive systems, blockchain applications in supply chains (agri-food, manufacturing, fashion), and security systems for Industry 4.0. She holds a PhD in Electronic and Computer Engineering (2001) from the University of Bologna. Key contributions include leadership in projects like SACHER (Smart Architecture for Cultural Heritage), CHIMERA, and IPPODAMO, emphasizing blockchain integration, IoT security, and federated learning. She coordinates initiatives such as IDEHA (data processing in Cultural Heritage) and SmartChain (interoperable industrial supply chain systems). Montanari also serves on editorial boards for journals like Security and Communication Networks and Electronics , and actively reviews for top-tier conferences in her field. Her work bridges academia and industry through collaborations on edge computing, cyber-physical systems, and privacy-aware technologies. Current efforts emphasize trustworthy federated learning frameworks and decentralized identity solutions for IoT ecosystems.
Luca Foschini is a Full Professor at the University of Bologna, affiliated with the Department of Computer Science - Science and Engineering within the Engineering College. He serves as Director of the Interdepartmental Center for Industrial Research on ICT. His research focuses on Distributed Systems, Mobile Computing, Middleware for Multimedia and IoT, Cloud Computing, and Edge Computing. Foschini holds a Ph.D. in Computer Engineering from the University of Bologna (2007) and has collaborated with institutions like the University of Illinois at Urbana-Champaign and the Paradise Lab at uOttawa. His key research contributions include the development of middleware platforms like MUM and SOMA, as well as initiatives such as the ParticipAct crowdsensing project. He has led projects funded by MIUR and CNR, addressing topics like scalable middleware for mobile networks and energy-efficient cloud systems. Foschini has been actively involved in organizing conferences like ISCC and IWCMC, serving in roles such as Technical Co-Chair and Keynote Speaker. Teaching includes courses on Distributed Systems, Computer Networks, and Foundations of Informatics, alongside roles as Assistant Professor and Teaching Assistant since 2004. His work emphasizes practical applications, including urban traffic management systems and healthcare data integration via blockchain federations. Notable collaborations span academic and industrial partners, including the Competence Center NGNI at Fraunhofer FOKUS and the Mobile Sensing Group at Dartmouth College. He leads research in smart cities, edge computing, and IoT, with a focus on real-world implementations like the ParticipAct living lab.
Eugenio Zimeo is a Full Professor at the Department of Engineering, University of Sannio, Benevento, where he teaches Networked Systems Programming and Distributed Software Architectures and Systems . He holds a PhD in Computer Science and Electronic Engineering from the University of Naples and has been a central figure in distributed systems research and education. Department of Engineering, University of Sannio (Current) Member, CerICT (Regional ICT Center) Coordinator, CINI Laboratory on Smart Cities and Communities (University of Sannio node) National Coordinator, CINI Focus Group on eGovernment and eInclusion Director, Local Research Unit, University of Sannio (TEMOTEC, PRIN projects) General Chair, I-CiTies 2016 Conference His research interests span software architectures, middleware, cloud and grid computing, autonomic systems, smart cities, IoT, microservices, and service-oriented computing . He has contributed to frameworks for mobile agents, microservices synchronization, and resilient smart city platforms. Zimeo has authored approximately 100 scientific publications, including journal articles and conference papers, with recent work focusing on microservices, distributed tracing, and smart city resilience . His publications show a strong trend toward modern distributed systems, leveraging cloud, fog, and IoT paradigms for urban applications and software engineering innovation. He has received several best paper awards in recognition of his scholarly contributions. Co-organizer, Boosting Services and Information in Adaptive Networked Enterprises (2008) General Chair, I-CiTies 2016 Scientific Responsible, TEMOTEC, OpenGoals, MyOpenGov, PRIN GAUSS and IDEAS projects Reviewer, IEEE Transactions on Software Engineering, ACM Transactions on Software Engineering and Methodology, and other leading journals Zimeo has supervised approximately 200 master's theses and served as tutor or co-tutor for 10 doctoral students . He has led significant research grants, including PRIN GAUSS (2017–present), IDEAS (2014–2017), TEMOTEC (2014–2016), and European project Qualipso (2010–2011), focusing on software quality and open-source platforms. He coordinates the University of Sannio’s node in the CINI National Laboratory on Smart Cities and Communities and leads the associated eGovernment and eInclusion focus group. His research unit develops platforms like PROMENADE for real-time IoT traffic monitoring in smart cities, integrating microservices and DevOps practices.
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.
Federico Bergenti is an Associate Professor in Computer Science at the University of Parma, affiliated with the Department of Industrial Systems and Technologies Engineering (DISTI) and the Department of Mathematics, Physics, and Computer Science. He serves as Chair of the AI Lab since 2015 and is actively involved in teaching Artificial Intelligence, Software Engineering, and related courses across multiple degree programs. His educational background includes a Laurea degree (M.Sc.) in Electronic Engineering from the University of Parma (1998) and a Ph.D. in Information Technologies from the same institution (2002). Prior to his academic career, he worked at CSELT S.p.A. (1998-1999) and CNIT (2000-2006). Bergenti's research primarily focuses on Artificial Intelligence and Software Engineering, with special emphasis on multi-agent systems. His work spans agent communication languages, architectures for agent-based middleware, reusability in agent systems, and more recently, agent programming languages based on constraint logic programming. He is among the founders of the JADE initiative and remains active in the Agent-Oriented Software Engineering research community. Analysis of his recent publications reveals a consistent research trajectory centered on agent-oriented programming (particularly JADEScript), indoor positioning systems, neural-symbolic integration, and mathematical modeling of multi-agent dynamics using kinetic theory approaches. His work demonstrates strong interdisciplinary connections between computer science, mathematics, and engineering applications. Professionally, Bergenti has coordinated various scientific initiatives, served on the Senior Program Committee of the AAMAS international conference since 2006, hosted the IEEE WETICE conference in Parma in 2014, and served as Program Chair for WETICE 2016. He has participated in numerous European Commission-funded research projects under the 5th and 6th Framework Programmes. He leads the AI Lab at the University of Parma, where his team develops practical applications of agent-based systems, including indoor localization technologies, health assistance systems, and social network modeling. His research combines theoretical foundations with real-world implementations, particularly through the JADE multi-agent framework.
Fulvio Valenza is an Assistant Professor (Fixed-Term Tenure-Track, RTD-B) at the Department of Control and Computer Engineering (DAUIN) , Polytechnic University of Turin . He is a member of the NETGROUP - Computer Networks Group and teaches courses such as Security of next-generation networks and Data Protection, Privacy, and Anonymity across multiple degree programs including Cybersecurity Engineering and Computer and Systems Engineering. Research Interests: Cybersecurity, Network Security, Security Automation, Distributed Systems, Quantum Cryptography Projects: MIRANDA (EU-funded cybersecurity research), Commercial contracts for "ESCAPE" seminar organization Research Trends in his publications focus on security automation in virtualized/cloud environments, formal verification of network policies, and optimization of security configurations for industrial and automotive systems. His work bridges theoretical methods (e.g., formal verification) with practical deployments (e.g., Kubernetes security, VNF placement). Teaching spans both the Polytechnic University of Turin and the University of Eastern Piedmont (2020-2022), covering topics in network security, cloud technologies, and cybersecurity.
Luca Barbierato is a Fixed-term Assistant Professor at the Department of Control and Computer Engineering (DAUIN), Politecnico di Torino, specializing in applied artificial intelligence, cybersecurity, and co-simulation infrastructures for integrated energy systems. He actively contributes to research in edge computing, IoT, and sustainable energy technologies. Research Focus: AI applications in energy systems, secure IoT infrastructures, and co-simulation frameworks Teaching Roles: Invited PhD teaching component (2025/26), teaching assistant across multiple programs His recent publications address critical areas including OpenTitan-based security controllers, urban building energy modeling, and distributed power system co-simulation. Barbierato's work aligns with SDG Goals 7 (Affordable Energy), 9 (Innovation Infrastructure), and 11 (Sustainable Cities). Notable scientific recognition includes the Learning to Teach (L2T) badge from Politecnico di Torino.
