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Meliani Abd Elghani is a Researcher at EURECOM within the Communication Systems department. His work focuses on Cloud Computing , Security , and Microservices in containerized environments. His research explores trends in: Resiliency for stateful microservices Trust Management in Cloud-Edge Continuum Security Protocols for CECC compliance For collaboration or inquiries, contact him via email: abd-elghani.meliani@eurecom.fr .
دانشیار
Eva Kühn is an Associate Professor at TU Wien's Faculty of Informatics, specializing in Coordination Systems and Space-Based Computing. She leads the Compilers and Languages department and focuses on Blockchain Technology, Distributed Systems, and Swarm Intelligence. Roles & Affiliations: Associate Professor, TU Wien Research Lead in Coordination Middleware Principal Investigator in projects like ITSM-PEER and Formal Verification of DNNs Research Interests: Blockchain-based systems for decentralized applications Swarm intelligence algorithms for P2P networks Space-based computing architectures for distributed systems Coordination patterns for multi-cloud auto-scaling Projects & Grants: "Formal Verification of Deep Neural Networks" (2024-2027, OeAD) "ITSM-PEER" (2014-2015, FFG) "LOPONODE Middleware" (2012-2014, FFG) Students & Supervision: Advised over 30 students in areas like blockchain frameworks, swarm algorithms, and distributed systems. Labs & Teams: Leads the Peer Model research group developing coordination middleware and space-based computing frameworks.
دانشیار
Robert Soulé is an Associate Professor at Yale University, holding dual appointments in Computer Science and Electrical Engineering. He previously served as an Associate Professor at the Università della Svizzera italiana (USI) in Lugano, Switzerland, and retains an Adjunct Professor position there. Soulé earned his B.A. from Brown University and his Ph.D. from New York University, followed by a postdoc at Cornell University. He is a Senior Member of the ACM and IEEE, and his research has been recognized with best paper awards at DEBS 2012, NSDI 2018, and CoNEXT 2020. His research focuses on computer systems, including networking, distributed systems, databases, and programming languages. Notable contributions include work on in-network computing, programmable data planes, and sustainable networking. He teaches advanced courses on databases, networking, and compilers at Yale and has previously taught at USI and Cornell. Soulé advises a team of PhD students and postdocs, with alumni working in industry and academia. His grants include NSF support for sustainable computing initiatives. He leads research efforts in areas like carbon-aware networking, quantum network specifications, and high-performance RPC systems. His work bridges theory and practice, emphasizing system design and verification. Affiliations: Yale University, USI (Adjunct) Education: Ph.D. (NYU), B.A. (Brown) Grants: NSF funding for sustainable computing Lab/Team: Research group focused on systems and networking innovations
Houari Sahraoui is a Full Professor and Vice Dean of Planning and Infrastructure at the Faculty of Arts and Sciences, University of Montreal, where he also previously served as Department Director from 2013 to 2017. He leads the GEODES research group (Groupe de recherche sur les systèmes ouverts et distribués et l'expérimentation dans les logiciels) and has been actively supervising graduate students and conducting research in software engineering since at least 2000. Dr. Sahraoui's research focuses on automated software engineering , with particular emphasis on model transformations learning from examples using evolutionary approaches. His work spans reverse engineering (comprehension) and reengineering (refactoring, migration to component-based software), utilizing static and dynamic analysis techniques. He also investigates visualization of large sets of multidimensional data for software comprehension and maintenance. His research integrates artificial intelligence approaches to enhance various phases of the software development lifecycle. His recent publications demonstrate a strong trend toward integrating large language models and artificial intelligence with traditional software engineering practices. The research spans code review automation, model-driven engineering, microservices identification, and digital twins for applications like vertical farming. Many publications focus on improving automation through techniques like parameter-efficient fine-tuning, knowledge distillation, and social diversity metrics. Dr. Sahraoui was named a Fellow of Automated Software Engineering in 2023, an honor recognizing his significant and sustained contributions to the ASE community, both scientifically and professionally. This prestigious title is awarded by the IEEE/ACM International Conference Steering Committee. Dr. Sahraoui has supervised over 50 Master's and PhD students throughout his career, with recent supervision focusing on AI-assisted software engineering, code review automation, and model-driven approaches. His research has been supported by multiple grants from the Natural Sciences and Engineering Research Council of Canada (NSERC), MITACS, and industry partners, with projects spanning from 2000 to projected completion in 2031. He leads the GEODES research group (Groupe de recherche sur les systèmes ouverts et distribués et l'expérimentation dans les logiciels) which focuses on open and distributed systems and software experimentation. His current projects include 'Improving automation and assistance for software engineering tasks with generative AI' (2025-2031) and work on digital twins for vertical farming.
استادیار
Marios Kogias is an Assistant Professor in the Department of Computing at Imperial College London, conducting research at the intersection of operating systems, networking, and distributed systems with a focus on tail-tolerance, fault-tolerance, and confidentiality using emerging datacenter hardware. He holds a PhD in Computer Science from EPFL (2020) supervised by Ed Bugnion, where his thesis won the Dennis M. Ritchie Award and received an Honourable Mention for the Eurosys Roger Needham PhD Award. His undergraduate degree in Electrical and Computer Engineering is from NTUA. His research spans operating systems, networking, distributed systems, cloud computing, and confidential computing, with significant contributions to microsecond-scale computing, serverless architectures, and eBPF applications. Current work emphasizes tail-latency optimization in datacenter environments and confidential computing security. Recent publications reveal strong trends in microsecond-scale systems, confidential computing, and serverless workflows, demonstrating expertise in leveraging hardware innovations for performance and security guarantees across distributed environments. His scientific awards include: Dennis M. Ritchie Award (2021) Honourable Mention for the Eurosys Roger Needham PhD Award (2021) IBM Fellowship Microsoft Swiss JRC Fellowship Distinguished Artifact Award (ASPLOS 2021) Best Student Paper Award (Eurosys 2020) Dr. Kogias actively mentors PhD students including Konstantinos Prasopoulos (co-advised with Ed Bugnion), Scofield Liu, Farzad Mohammadi, and Adel Sefiane. He teaches Networked Systems, Computer Networks and Distributed Systems, and Object-Oriented Design at Imperial, supported by fellowships from IBM and Microsoft during his doctoral research. His collaborative work spans EPFL, Microsoft Research Cambridge, and Imperial College London, focusing on systems architecture for next-generation datacenter applications.
Prof Jiong Jin is a Full Professor and Academic Director (Research Training) at Swinburne University of Technology's School of Science, Computing and Engineering Technologies. He holds a B.Eng (First Class Honours, Nanyang Technological University) and a Ph.D. (University of Melbourne). His research focuses on networked systems, IoT, edge computing, and robotics automation, with applications in smart manufacturing, transportation, and cities. Research Interests: Control and optimization of networked/embedded systems Edge/fog computing architectures Cyber-physical systems and IoT applications Autonomous robotic systems Real-time distributed algorithms Recent Publications: Recent work includes groundbreaking contributions in edge-IoT frameworks (Farm-LightSeek), cloud-fog automation paradigms, and adversarial machine learning defenses. His research bridges theory and practice through collaborations with industry partners like KDDI Research and IMCRC. Awards & Recognition: 2020 School Research Excellence Award 2019 Faculty Mid-Career Researcher Award Commendation Top 2% global cited scientists (Stanford, 2019) AI 2000 Most Influential Scholars (2021/2022) Grants & Collaborations: Australian Research Council (ARC) Linkage Projects CSIRO Data61 collaborations Industry partnerships with YSTC Energy, IMCRC, and iMOVE Australia Lab & Teams: Leads a multidisciplinary team advancing industrial IoT and smart systems through projects like the Factory-in-a-Box platform and virtual manufacturing solutions. His lab emphasizes practical industry applications of theoretical advancements.
Prof. Dr. Thomas Michael Bohnert is a faculty member at ZHAW School of Engineering, specializing in distributed systems and cloud computing. He has led multiple projects including: Bringing FIWARE to the NEXT step (completed), Enterprise Cloud Robotics Platform (completed), Apache Cloudstack for NFV (completed), Solidna cloud storage (completed), T-NOVA NFV services (completed), and Mobile Cloud Network (completed). Research Focus: Cloud robotics Network Functions Virtualization (NFV) Software-Defined Networking (SDN) Mobile cloud networking Resilient cloud systems Energy-efficient cloud platforms Publications Trends: His work spans 2012-2024 with consistent focus on cloud-native application design, NFV orchestration, SDN implementation, and mobile cloud integration. Key themes include self-managing systems, distributed computing frameworks, and infrastructure optimization. Collaborations: Frequently collaborates with Andrew Edmonds, Giovanni Toffetti Carughi, Piyush Harsh, and Sandro Brunner across EU projects and industry partnerships.
Andreas Prinz is a Professor of Systems Engineering at the University of Agder since 2003. He previously served as Vice-Dean for Research (2016-2023) and Scientific Head of eHealth Centre (2017-2019). His academic journey includes guest professorship at Technical University of Cottbus (2000-2001), habilitation at Humboldt University (2001), and PhD in Computer Science (1990). Education: 2001: Habilitation, Humboldt University Berlin 1990: PhD in Computer Science, Humboldt University 1988: M.Sc. in Mathematics, Humboldt University Research Interests: Prinz leads the Systems Engineering and Modeling group. His work spans three major areas: Meta-Modeling and DSLs: Through the SMILE project , he develops domain-specific languages for formal system definitions, including the LanguageLab environment. Educational Technology: Focuses on pedagogical use of technology rather than invention, including the Success MOOC and Success Wiki platforms. Health Technology: Develops personalized eCoaching systems for health promotion, including the Center for eHealth initiatives and ProHealth eCoach applications. Publication Trends: His recent work (2022-2024) shows a strong focus on: Integrating machine learning and ontologies for personalized health recommendations Advancing model-driven engineering and DSL development through meta-modeling Exploring social simulation and emergency response systems with real-time data processing Developing secure microservice architectures for health applications Creating game-based learning environments for healthcare education Investigating social dynamics through computational models of marginalization Advising and Leadership: Prinz has supervised numerous PhD, Master's, and Bachelor's theses through the SMILE and LanguageLab projects. He led the ICT department (2007-2015) and served as Vice-Dean for Research (2016-2023). Labs and Teams: He is associated with: SMILE (Systems, Modeling and Language Engineering) Center for eHealth Academic e-Sports and Game Didactics Social Simulation
V.Prof.Dr. Nevzudin Buzađija is an Associate Professor at the Software Engineering Department , Faculty of Philosophy, University of Zenica, Bosnia and Herzegovina. He holds leadership roles as Head of the Software Engineering Department and Vice Dean for Teaching and Student Affairs at the Polytechnic Faculty. Research focuses on Software Engineering , Blended Learning , Blockchain Applications , and Educational Technology Courses taught include Computer Architectures , Databases , and Informatics Methodology across multiple departments Pioneer in applying fuzzy logic and blockchain to educational systems Recent Publications highlight advancements in: DevOps Methodology for modern software development Microservices with RabbitMQ message brokers Smart Contract optimization and blockchain for digital certificates Scratch Programming in K-12 education Artificial Intelligence for multimedia content analysis His work bridges academic research and educational practice , with significant contributions to curriculum design and ICT integration in transitional economies.
Jaime Galán-Jiménez is a Researcher focusing on Internet of Things (IoT) , Software-Defined Networking (SDN) , Fog Computing , and UAV Networks . His work addresses energy efficiency , latency optimization , and network reliability in rural and remote environments , leveraging microservices , machine learning , and hybrid network architectures . Research Interests: Optimizing SDN/Fog/Edge Computing for IoT applications. Deploying UAV swarms to enhance connectivity in rural areas. Reducing energy consumption and latency through algorithmic innovations. Using machine learning and heuristic methods for network configuration. Recent Article Trends: His 2025–2024 work emphasizes microservice placement in fog environments, TCP optimization via transport assistants, and carbon-aware routing in wired networks. Key subfields include UAV communication , network reliability , and hybrid IP/SDN architectures . Collaborations: He frequently partners with Juan Luis Herrera , Javier Berrocal , Jose Gómez-delaHiz , and Santiago García-Gil , contributing to journals like Computing , IEEE Internet Things Journal , and conferences such as NOMS , ISCC , and GLOBECOM .
پژوهشگر
Sven Warris is a researcher at BIOS Applied Bioinformatics within Wageningen University & Research. His work spans bioinformatics, genomics, and microbiome studies, with a focus on developing computational tools for genomic and metagenomic data analysis. PhD in Bioinformatics (2013-2019), Wageningen University Research Interests: Bioinformatics tool development for high-throughput data Gut microbiome analysis in insects Symbiotic virus colonization in parasitoids Metagenomic approaches to disease-suppressive soils Scientific Contributions: Developed Pacasus for palindromic sequence correction Contributed to chromosomal assembly of parasitic wasp genomes Studied gut bacteria impact on arbovirus transmission Advancing functional amplicon sequencing methodologies Projects: Microservices to connect genetic maps to (pan)genomes (2019) Low-cost high-performance biocomputing (PhD project, 2013-2019)
Full Professor at the Department of Telecommunications, Faculty of Electrical Engineering and Computing, University of Zagreb. Active in research areas spanning Internet of Things , Distributed Ledger Technology , and Smart City Systems . Key projects include IoT-edge-cloud continuum optimization, precision agriculture implementations, and DLT security frameworks. Research Focus includes semantic interoperability for IoT platforms, adaptive edge computing architectures, and blockchain applications in energy systems. Publications emphasize QoS-aware IoT services, nitrogen deficiency detection in crops, and mobile crowd-sensing ecosystems. Technical Contributions cover container orchestration tools for edge environments, federated learning optimization, and indoor location-aware device control. Current work examines security protocols for MQTT in precision agriculture and publish/subscribe middleware for cloud-based IoT. Collaborative Initiatives involve the symbIoTe project for semantic interoperability, CUPUS middleware development, and AlvisP2P search engine optimization. Development of context-aware services for smart campus environments using Home Assistant platform and Node-RED.
Vasilios Mamalis is a Professor at the Department of Informatics and Computer Engineering, University of West Attica, and a member of the Collaborating Scientific Staff at the Hellenic Open University's Informatics program. His academic career spans decades with significant contributions to parallel and distributed computing, wireless sensor networks, and cloud technologies. Education: Diploma in Computer Engineering and Informatics, University of Patras (1993) PhD in Computer Engineering and Informatics, University of Patras (1998) Research Interests focus on parallel algorithms, distributed systems, wireless sensor networks, cloud computing, and information retrieval. His work addresses energy efficiency in ad-hoc networks, optimization techniques, and educational technology applications. Publication Trends show extensive work on WSN clustering, cloud task scheduling, parallel simplex methods, and fog computing applications in education and urban systems. He combines metaheuristics with infrastructure optimization in large-scale networks. Scientific Contributions include editorial roles in the Journal of Balkan Libraries Union and program committee memberships in international conferences. He actively reviews for journals and conferences in computing. Teaching Expertise covers operating systems, parallel computing, distributed systems, and cloud technologies at both undergraduate and postgraduate levels. His Research Leadership involves EU/Greek-funded projects on communication protocols, parallel content-based retrieval, and wireless sensor networks.
Valderi Reis Quietinho Leithardt is an Assistant Professor at the Department of Information Science and Technology, Iscte – University Institute of Lisbon , Portugal, where he holds a full-time position with exclusive dedication. He is an integrated researcher at ISTAR-Iscte (Research Center in Information Sciences, Technologies and Architecture) and a Senior Member of the IEEE . His academic affiliations also include collaborations with the University of Coimbra, University of Salamanca, and Fondazione Bruno Kessler. Education: Post-Doctorate , University of Salamanca, Spain (2019–2021) Post-Doctorate , University of Coimbra, Portugal (2017–2019) PhD in Computer Science , Federal University of Rio Grande do Sul, Brazil (2011–2015) Master’s in Computer Science , Pontifical Catholic University of Rio Grande do Sul, Brazil (2006–2008) Bachelor’s in Data Processing Technology , Higher Education Center of Foz do Iguaçu, Brazil (1999–2002) Research Interests: Valderi's research focuses on Distributed Systems, Data Privacy, Internet of Things (IoT), Cloud Computing, and Intelligent Systems . He explores algorithmic solutions for secure and efficient data management in heterogeneous environments, with applications in smart cities, precision agriculture, healthcare, and energy systems. His work integrates machine learning, blockchain, and federated learning to enhance privacy, security, and system performance. Publication Trends: His recent publications (2024–2025) emphasize time series forecasting, anomaly detection, JVM optimization, and privacy-preserving AI . A strong trend is observed in applying machine learning to power grid fault prediction, blockchain-based healthcare data privacy, and data quality in federated learning. His work bridges theoretical computer science with real-world applications in infrastructure, sustainability, and digital security. Scientific Contributions: Senior IEEE Member Active contributor to open science and reproducibility Involved in interdisciplinary research networks: Embedded and Distributed Systems Laboratory, COPELABS, CTS, CANDEIIA Member of professional societies: IEEE (since 2011), Brazilian Computer Society (since 2003) Academic Service and Leadership: He has held leadership roles in academic programs, including Director and Coordinator of the Master's in Computer Science and Management at Iscte (2025–2027). He actively organizes and participates in scientific events such as IEEE CIoT, DiTTEt, SBSeg, and MobiSPC, serving on organizing and scientific committees. He has coordinated workshops like WTTFC 2024 and 2025, promoting technological trends in future computing. Labs and Research Groups: He is a collaborator in several research networks, including: Embedded and Distributed Systems Laboratory (since 2016) Expert Systems and Applications Laboratory (since 2019) COPELABS – Human-Centered Computing and Cognition (since 2020) Fondazione Bruno Kessler (2021–2025) Center for Technology and Systems (CTS) (since 2023) Advanced Center for Development of Intelligent Systems and Artificial Intelligence (CANDEIIA) (since 2024)
Merlijn Sebrechts is a postdoctoral researcher and policy officer at Ghent University's Faculty of Engineering and Architecture, Department of Information Technology (EA05). His work focuses on cloud-native technologies, edge computing, and secure system design. Research areas include Kubernetes, WebAssembly, and confidential computing He teaches computer science courses in the Information Engineering Technology program Expertise spans trusted execution environments, software supply chain security, and cloud orchestration His recent publications analyze edge computing security, lightweight virtualization, and intent-based resource management. Key contributions include decentralized orchestration frameworks and benchmarks for cloud performance. Merlijn maintains strong ties to open-source ecosystems through involvement with Kubernetes, Docker, and the Ubuntu community.
