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Hadi Tabatabaee is an Assistant Professor at the School of Computer Science, University College Dublin (UCD), leading the Sustainable Orchestration in Computing Continuum (SOC² Lab). His research focuses on sustainable orchestration of services across edge-cloud environments, emphasizing energy efficiency, carbon-aware systems, and AI-driven applications like large language models (LLMs). Key roles include Associate Editor for IEEE Access and Management Committee member of COST Action CA22151 (CYPHER). He holds a PhD in Computer Engineering from the University of Isfahan and has held academic positions at Maynooth University, Shahid Beheshti University, and Trinity College Dublin's CONNECT research program. Education: PhD (Computer Engineering, University of Isfahan), MSc (Computer Engineering), with a research visit at TU Delft (2010-2011). Certifications include Epigeum's Research Leadership and Research Integrity courses. Languages: Persian (fluent), Azerbaijani (spoken). Research Interests: Edge-cloud continuum, dynamic service placement, distributed AI workloads, LLM optimization, and sustainable resource management. Recent work includes zero-trust vehicular networks, parallel algorithms for recommender systems, and geospatial event processing. Awards: None explicitly listed, though his contributions include over 20 journal articles in IEEE/Elsevier/Springer venues. Professional Activities: IEEE Senior Member, TPC member for IEEE conferences, and reviewer for multiple journals. Teaching: Coordinates/teaches Cloud Computing, Computer Networks, and Principles of Computer Organization at UCD.

• Edge Computing
• Cloud Computing
• Artificial Intelligence
• +7 more

Prof. Dr. Franciska de Jong is a Full Professor of e-Research for the Humanities at Utrecht University's Department of Languages, Literature and Communication. She serves as senior advisor to CLARIN ERIC, Europe's language resources infrastructure, following her tenure as its Executive Director (2015-2022). Her career includes roles as Full Professor of Language Technology at the University of Twente (1992-2022) and affiliations with Erasmus University Rotterdam. She has led national and international initiatives including the Dutch 'Driven by Data' program and Horizon Europe's EOSC Focus project. Key roles: CLARIN ERIC Senior Advisor NWO Standing Committee Member (2018-present) Open Science-NL Steering Board (2023-present) Education: PhD Theoretical Linguistics (Utrecht University), MA Dutch Language & Literature. Early career included machine translation work at Philips Research. Research focuses on digital libraries, cultural heritage digitization, text mining, and cross-language retrieval systems. Recent projects emphasize FAIR data principles, open science infrastructure, and sustainability of the European Open Science Cloud. Active in governance bodies like Netherlands eScience Center (2014-2023) and Lorentz Center's Computational Science Advisory Board (2016-2021).

• Digital Humanities
• Language Technology
• Computational Linguistics
• +5 more

Giulia Scaffino is a PreDoc Researcher in the Security and Privacy group at the Technical University of Vienna (TU Wien). Her research focuses on cryptocurrencies, blockchain interoperability, scalability, off-chain protocols, and decentralized finance (DeFi). She holds an MSc in Nuclear and Particle Physics from the University of Pavia, Italy, and is pursuing a PhD at TU Wien. Before her PhD, she worked as a Salesforce developer at Deloitte Digital in Milan. Giulia is involved in projects such as CDL-BOT (2020–2025), Browsec (2018–2024), CoRaF (2022–2025), and SFB SPyCoDe (2023–2026). Her work includes developing frameworks for cross-blockchain smart contracts, optimizing light clients for DeFi, and creating scalable blockchain bridges. She has contributed to publications on topics like IoT data marketplaces and distributed key generation using zk-SNARKs. Her research trends emphasize solving blockchain scalability challenges through innovative protocols and enhancing interoperability between different blockchain systems. Projects like Glimpse and Alba highlight her focus on efficient, secure, and decentralized solutions for modern blockchain ecosystems.

• Cryptocurrencies
• Blockchain Interoperability
• Blockchain Scalability
• +3 more

Dr. Francis Gacenga, currently at the University of Southern Queensland (UniSQ), serves as a Senior Digital Research Advisor in the Research Infrastructure Admin department. He is affiliated with the Centre for Sustainable Agricultural Systems and Institute for Advanced Engineering and Space Sciences. PhD in Information Systems (USQ, 2013) MBA (University of Nairobi, 2000) Graduate Diploma in MIS (University of Greenwich, 2003) BA(Hons) from Kenyatta University (1997) With over 20 years of experience in IT and academic research, Dr. Gacenga specializes in Research Data Management (RDM), IT Service Management (ITSM), Digital Research Infrastructure, and Design Science. His work focuses on applying FAIR (Findable, Accessible, Interoperable, Reusable) data principles to agricultural and environmental domains. The 15 most recent publications reveal a trajectory from foundational ITSM research (2010-2016) to agricultural data platforms (2019-2024). Key themes include FAIR data implementation, cloud computing integration, reproducible research frameworks, and cross-disciplinary agricultural applications. Senior Member of Australian Computer Society (since 2009) Former Chair of ACS Toowoomba Chapter As Principal Investigator for grants totaling over $500k from GRDC, Soils CRC, and ARDC, he leads digital infrastructure projects. He also supervises Doctoral candidates and contributes to national cybersecurity and data policy committees.

• Research Data Management
• IT Service Management
• Design Science
• +3 more

Andreas Manfred Pointner is an Assistant Professor at FH Hagenberg , specializing in interdisciplinary research at the intersection of computer science, healthcare informatics, and software engineering. He leads research in graph databases, process mining, and attribute grammars with applications in healthcare IT and automated data systems. His affiliations include the Web Intelligence and Innovation Laboratory , AIST Center of Excellence , and Medical Engineering/TIMed Center . He has contributed to projects such as RiskAI (risk management in enterprises), PASS (plan analysis automation), and REPO (radiology e-health platforms). Research Interests: Graph database optimization, interoperability in healthcare systems (HL7 standards), fuzzing techniques for software testing, and process mining for audit event analysis. His work bridges theoretical formal methods with practical applications in clinical workflows and automated data cleansing. Notable Contribution: Developed a graph transformation framework for complex data structures Recipient of the Best Paper Award 2022 for contributions to intelligent systems Collaborative Projects: Focus on AI-driven solutions for enterprise risk management and healthcare interoperability He actively participates in international conferences and has supervised projects involving 3D model analysis, contour extraction, and global disease monitoring systems.

• Computer Science
• Database Systems
• Process Mining
• +4 more

Dr. Barry Hayes is a Senior Lecturer (Associate Professor) in Power Systems Engineering at University College Cork (UCC), Ireland. He leads a research team focusing on grid integration of sustainable energy technologies and future power system operation/planning. Previously held roles include Lecturer at University of Galway (2016-2018) and Marie Sklodowska-Curie Research Fellow at IMDEA Energy (2013-2016). Holds a PhD in Electrical Power Systems Engineering from University of Edinburgh (2013). Research interests include smart grids, distribution network management, demand-side flexibility, non-intrusive load monitoring, and energy communities. Active in IEEE standards development (P2030 smart grid interoperability) and serves as Associate Editor for IEEE Transactions on Energy Markets, Policy and Regulation. Has secured €1.03M SFI grant (2024-2029) for disruptive energy tech research, plus other grants including €506K from Disruptive Technologies Innovation Fund. Supervised PhD students in power systems and energy markets. Collaborates with Irish energy industry and international partners through MaREI Centre. Publications emphasize grid integration challenges, P2P energy trading, and smart meter applications. Notable recognition includes Elsevier's Most-Cited Article award (2022). Engages in public science communication via RTÉ and advises community-owned renewable energy projects.

• Power Systems
• Smart Grids
• Distribution System State Estimation
• +4 more

Zaiwen Feng is a researcher actively contributing to data governance, semantic modeling, and causal inference. His work focuses on knowledge graphs, graph-based methods, and service-oriented architectures through collaborations with institutions like the University of Queensland and universities in China. Research Focus : Graph Differential Dependencies, Entity Resolution, Causal Effect Estimation, and Ontology Alignment Methodologies : Machine Learning, Variational Autoencoders, Prompt Engineering, and Semantic Retrieval Application Areas : Biomedical Data, Property Graph Recommendation, and Process Model Repositories Key trends in his publications include automated semantic modeling , neural approaches for entity resolution , and causal inference with graph structures . He frequently collaborates with researchers like Keqing He, Wolfgang Mayer, and Selasi Kwashie across conferences such as HPCC, BIBM, and WISE.

• Data Governance
• Semantic Modeling
• Knowledge Graphs
• +5 more

Dr. Maria Ribera Sancho is a Professor at the Polytechnic University of Catalonia (BarcelonaTech), holding roles as Dean of the Faculty of Informatics of Barcelona (2004–2010), Vice-Dean (1998–2004), and currently Manager of the Education and Training Department at the Barcelona Supercomputing Center (BSC-CNS). She chairs the EQANIE Accreditation Committee and serves on the ACM-W Europe Executive Committee. Her research focuses on Software Engineering, Conceptual Modeling, Ontologies, Learning Analytics, and IoT applications. Notable contributions include work on automated design using conceptual models, model-driven software development, and semantic-based IoT infrastructure monitoring. She leads projects like LinDaFIX (social welfare data tools) and REMEDiAL (ontology-driven software automation). Key awards include the UPC Quality in Teaching Prize (2005, 2021), Jaume Vicens Vives Distinction (2005), Sapiens Award (2011), and Festibity Award (2011). She advises doctoral and master’s students on topics like IoT semantic monitoring and educational ontology development. Academic director of the inLab FIB Talent Program, she also directs the PRACE Advanced Training Center at BSC. Main projects include TINTIN (SQL integrity tool), e-Catalunya (collaborative government platform), and PILARES (learning analytics for secondary education). Her work bridges academia and industry through competitive projects with companies and institutions.

• Software Engineering
• Conceptual Modeling
• Ontologies
• +4 more

Jacqueline Griffin is an Associate Professor in Mechanical and Industrial Engineering at Northeastern University's College of Engineering, serving as Director of Industrial Engineering and Operations Research. She holds a PhD from Georgia Institute of Technology (2012) with prior degrees from Lehigh University. Her research focuses on healthcare operations optimization, supply chain resilience, and decision-making under uncertainty, with emphasis on multi-objective resource allocation, simulation modeling, and stochastic optimization. She leads NSF-funded projects addressing pharmaceutical supply chain resilience and outpatient clinic design. Notable awards include the ARCS Foundation Fellowship and Omega Best Reviewer Award. Griffin's research integrates operations research methods to improve healthcare systems, including dynamic bed management, disaster preparedness algorithms, and patient flow optimization. She has designed simulation frameworks for hospital layouts and emergency response systems. Her work spans academic-industry collaborations with Brigham and Women’s Hospital, Boston Children’s Hospital, and the National Institutes of Health. Education: PhD Industrial Engineering (Georgia Tech 2012), MS/BS Industrial Engineering (Lehigh 2006/2005) Grants: $1.5M in NSF funding for supply chain resilience and healthcare systems projects Professional Affiliations: INFORMS, IIE, POMS Her teaching includes graduate courses on operations research and supply chain management. Recent innovations include gamified educational tools for supply chain decision-making and EHR-integrated diagnostic safety interventions. She advises interdisciplinary teams on healthcare system modeling and has published over 30 peer-reviewed articles since 2011.

• Healthcare Operations Research
• Supply Chain Resilience
• Discrete Event Simulation
• +4 more

Luis Antunes Veiga is an Associate Professor and Senior Researcher at INESC-ID Lisbon, affiliated with the Distributed Systems Group and the Computing Systems and Communication Networks Laboratory. His research focuses on Cloud Computing, Edge Computing, Distributed Systems, and Big Data processing. He teaches courses such as 'Cloud Computing and Virtualization' and 'Operating Systems, Virtualization and Cloud Computing.' His work emphasizes scalable systems, network-aware workflows, and resource-efficient data processing. Research Interests: His primary areas include distributed systems architectures, edge computing frameworks, graph processing algorithms, and software-defined systems. He explores topics like latency-aware network design, resource auction mechanisms for edge environments, and interoperable service workflows. His contributions span theoretical frameworks and practical implementations, such as the RATEE system for edge resource trading and the VeilGraph incremental graph processing framework. Publications: His recent work addresses challenges in distributed systems, such as elastic scaling of stream processing, efficient graph processing in Spark, and latency optimization in internet-scale workflows. These publications reflect a trend toward integrating software-defined approaches with edge and cloud infrastructures. Notable Awards: Best Young Researcher INESC-ID, Excellence in Teaching (IST 2012), and a Best-Paper Award at ACM/IFIP/Usenix Middleware 2007. Labs & Teams: Active in the Computing Systems and Communication Networks Laboratory, leading projects on edge computing and distributed systems.

• Cloud Computing
• Distributed Systems
• Data Processing
• +4 more

Sean Qian is a Professor at Carnegie Mellon University (CMU), jointly appointed in the Department of Civil and Environmental Engineering, Heinz College of Information Systems and Public Policy, and the Department of Electrical and Computer Engineering. He directs the Mobility Data Analytics Center (MAC) and co-founded TraffiQure Technologies to commercialize AI-driven infrastructure solutions. His research focuses on dynamic network modeling, intelligent transportation systems, climate resilience, and infrastructure interdependency. Supported by NSF, U.S. DOT, and industry partners, his work integrates AI, big data, and policy analysis to address urban mobility challenges. Education: PhD in Civil Engineering (UC Davis, 2011), MS in Statistics (Stanford, 2012), and dual MS/BS in Civil Engineering (Tsinghua University, 2006/2004). Research emphasizes smart cities, EV integration, cybersecurity for infrastructure, and equity in mobility policies. He serves on editorial boards for Transportation Research journals and TRB committees. Awards include the NSF CAREER Award (2018) and Greenshields Prize (2017). Grants and collaborations include projects with Fujitsu, IBM, and state agencies, addressing curbside management, climate adaptation, and rural mobility. His lab develops tools like the Rural Access Mobility Platform and social digital twin technologies for infrastructure resilience.

• Transportation Engineering
• Intelligent Transportation Systems
• Infrastructure Resilience
• +7 more

Thanasis Papaioannou is a Senior Researcher at the STEcon lab at Athens University of Economics and Business (AUEB), where he has been since 2006. He concurrently teaches Python Programming and Android Programming at the University of Thessaly and Data Management in IoT at the Technological Educational Institute of Thessaly. His research focuses on smart grid demand-side management, IoT data management, gamification for energy conservation, and privacy mechanisms in distributed systems. Education: He holds a B.Sc. (1998), M.Sc. (2000) in Computer Science from the University of Crete, and a Ph.D. (2006) in Informatics from AUEB. He has held postdoctoral roles at EPFL (2008-2013) and positions at CERTH (2013-2016). Research Interests: His work spans IoT-enabled gamification for energy efficiency, decentralized management frameworks, and blockchain applications for trustworthy systems. Notable contributions include frameworks like ONTOCHAIN and CHArGED, addressing challenges in energy conservation and distributed trust. Publications: Over 65 papers in high-impact venues including IEEE Transactions on Smart Grid and ACM e-Energy. Recent work emphasizes blockchain-semantic convergence, decentralized IoT governance, and energy market coordination under uncertainty. Professional Impact: Project manager in 17 national/EU projects, with over 1200 citations. Advises on energy systems and decentralized technologies, emphasizing user-centric design and behavioral interventions.

• Smart Grid
• IoT Data Management
• Cloud Resource Management
• +3 more

Professor Phil Trinder is a Professor of Computing Science at the University of Glasgow's School of Computing Science. He leads the Glasgow Parallelism Group (GPG) and is a member of the Glasgow Systems Section (GLASS) and the Scottish Programming Languages Seminar (SPLS). His research focuses on parallel and distributed programming models, functional programming, and applications in computational algebra. Trinder holds a DPhil from Oxford University and has over 100 publications. He has led 12 major research projects as Principal Investigator and coordinated EU projects. Collaborations include Ericsson, Maplesoft, Microsoft, and Motorola. His work emphasizes scalable distributed systems, actor-based platforms, and reliable computation. Notable contributions include the SymGridPar framework for computational algebra and research on Erlang scalability. He also explores IoT architectures and tierless programming languages. Key projects include improving Erlang's network scalability and developing frameworks for exact combinatorial search (YewPar). He has supervised numerous researchers and contributed to high-performance systems like HPC-GAP.

• Parallel Programming
• Distributed Systems
• Functional Programming
• +3 more

Tamas Kerekes is an Associate Professor at AAU Energy, part of the Faculty of Engineering and Science at Aalborg University. His work focuses on power electronics, photovoltaic systems, and grid integration. He has extensive teaching experience in MSc courses such as Control of Electrical Drives and Converters, Grid Interactive PV Inverters, and PhD/Industrial courses including Photovoltaic Power Systems and Power Electronics for Renewable Energy Sources. Education: He holds a PhD in Electrical Engineering (Analysis and Modeling of Transformerless Photovoltaic Inverter Systems) from Aalborg University (2005–2008). Research Interests: His expertise spans photovoltaic systems, energy storage, and power electronics for renewable integration. He leads and participates in projects like TilePlus (solar roof tiles), ECoGrif (grid-friendly power converters), and MMC Advanced Control with AI-based Grid Stability Assessment. His work emphasizes condition monitoring, decentralized algorithms, and cost-effective energy management strategies. Projects & Grants: He has been involved in 15+ projects funded by Innovation Fund Denmark, European Commission, and ERASMUS+. Notable contributions include the development of solar tile solutions, hybrid energy storage systems, and grid-friendly converter technologies. Labs/Teams: Leads the TilePlus project team for solar energy collection and collaborates on advanced control systems for microgrids and power converters. His research group focuses on experimental validation and real-world implementation of renewable energy solutions.

• Power Electronics
• Photovoltaic Systems
• Energy Storage Systems
• +5 more

Michalis Mountantonakis is a Postdoctoral Researcher at FORTH and Laboratory Teaching Staff in the Department of Computer Science at the University of Crete, Greece. He holds a PhD (2020), MSc (2016), and BSc (2014) in Computer Science from the University of Crete, all with top grades. His research focuses on Large-Scale Semantic Data Integration, Linked Open Data, and Semantic Web technologies, with over 45 publications in top venues like ACM VLDB, ISWC, and ECML. He has been awarded the prestigious SWSA Distinguished Dissertation Award (2020) and the Maria Michael Manasaki Fellowship (2020). His work includes tools like LODsyndesis and LODChain, addressing challenges in knowledge graph connectivity and validation of AI-generated content. Education: PhD in Computer Science (2016-2020), University of Crete (Excellent GPA 9.74/10) MSc in Computer Science (2014-2016), University of Crete (Excellent GPA 9.87/10) BSc in Computer Science (2010-2014), University of Crete (2nd in class with GPA 8.42/10) Research Interests: His work bridges semantic web technologies with modern AI challenges, emphasizing large-scale data integration, knowledge graph applications, and validation frameworks. He has contributed to cultural heritage informatics, machine learning-augmented semantic systems, and cross-lingual NLP solutions. Recent trends include leveraging LLMs for query generation and semantic enrichment while ensuring factual accuracy through knowledge graph-driven validation. Key Achievements: Developed LODsyndesis, a global-scale semantic integration service Pioneered real-time validation of ChatGPT responses using RDF knowledge graphs Won Best Paper Award (ISWC 2022) for entity enrichment techniques Recipient of Stelios Orphanoudakis Undergraduate Fellowship (2013-2014) Participated in Roche Continents 2019 (top 100 European science students) Grants & Labs: His research has been supported by GSRT/HFRI. He collaborates with FORTH-ICS and leads projects in EU-funded initiatives like iMarine and BlueBridge. Current work focuses on governance models for ontologies, interoperable thesaurus creation (e.g., FoodEx2), and semantic analytics for cultural heritage datasets.

• Large-Scale Semantic Data Integration
• Linked Open Data
• Semantic Web
• +4 more