Amirali Amiri is a PostDoc Researcher at TU Wien's Department of Automation Systems, part of the Faculty of Informatics. His work focuses on systems engineering, IoT integration, and cyber-physical systems. He teaches courses like Fundamentals of Digital Systems and Computer Engineering Project . His research emphasizes supply chain optimization, IoT performance, and IT/OT convergence security. Notable contributions include model-based approaches for IIoT lifecycle management and self-adaptive systems. Recent studies explore MQTT broker deployment architectures, semantic annotation for runtime models, and graph-based safety analysis. His work bridges theoretical frameworks with empirical validation in industrial automation contexts. Amiri has contributed to conferences such as IEEE ICM, ICPS, and ETFA, addressing challenges in cloud-based routing, cybersecurity, and DevOps integration.
Ingo Feinerer serves as an Associate Professor at Vienna University of Technology's Faculty of Informatics, specifically within the Institute of Information Systems Engineering (E192-02). His research bridges theoretical computer science and practical applications in database systems, artificial intelligence, and text mining, with significant contributions to configuration management and formal methods. His educational background includes: PhD Dissertation (2007): A formal treatment of UML class diagrams as an efficient method for configuration management Diploma Thesis (2005): Formal program verification: a comparison of selected tools and their theoretical foundations Feinerer's research focuses on database theory (particularly schema mapping and dependencies), AI-driven configuration systems using integer linear programming, and text mining infrastructure development in R. His work combines theoretical rigor with practical tool development, notably through the textcat and tm packages. The integration of formal methods in software engineering remains a consistent thread throughout his publications. Analysis of his 15 most recent publications reveals strong specialization in database constraints (40%), text mining applications (30%), and software configuration systems (30%), with increasing interdisciplinary work connecting computer science to digital humanities. His notable recognition includes: INiTS Award (2007) for technology commercialization potential Feinerer has supervised doctoral research including F. I. Chertes' work on schema mapping languages and diploma theses on UML semantics and probabilistic databases. He led major research projects HINT (2012-2017) and SEE (2012-2016) focusing on database technologies and information systems. His work demonstrates consistent funding through Austrian national research programs. As a core member of the Databases and Artificial Intelligence research group, he collaborates extensively on R package development for text analysis and contributes to international workshops on theoretical aspects of software engineering.
Mitchell Kirshner is a Researcher at the University of Arizona's Department of Systems & Industrial Engineering, specializing in Model-Based Systems Engineering (MBSE). He holds a Ph.D. from the same institution (2023) and previously worked at General Dynamics Electric Boat and attended Northwestern University for his BS and MS. His research focuses on applying MBSE to optimize space systems, particularly in telescope constellations and cybersecurity, under the guidance of Dr. Eric Pearce. He also explores interdisciplinary areas like human-computer interaction for space situational awareness and biomimetic design. Education: Ph.D., Systems & Industrial Engineering, University of Arizona, 2023 MS and BS, Northwestern University Research Interests: Mitchell’s work bridges systems engineering with aerospace applications, emphasizing semantic interoperability, cybersecurity for space systems, and requirements-based trade studies. He has pioneered methods to integrate digital engineering tools for crewed Mars missions and developed the EnDEVR VR environment for collaborative data analysis. His research also addresses challenges in optical sensor constellations and near-IR spectral analysis of space objects. Articles Trends: His publications span MBSE applications in autonomous systems, cybersecurity, and space systems optimization. Notable themes include space domain awareness through sensor networks, model-based security frameworks, and interdisciplinary methods for complex systems like telescope constellations and Mars mission planning. Advising & Grants: While no formal advisees are listed, Mitchell’s research is supported by grants under Dr. Pearce’s supervision. His work contributes to projects like EnDEVR (VR data engineering) and space situational awareness systems. Labs & Teams: Mitchell collaborates on the EnDEVR project and contributes to space systems engineering teams focused on constellation architectures and cybersecurity resilience.
Dr. Mark Green is a Senior Lecturer in the School of Engineering, Computing and Mathematics at Oxford Brookes University. He holds a PhD in Computer Science from the University of Reading, focusing on visualization techniques for formal specifications of communicating systems. His expertise spans metaprogramming, software systems development, and cybersecurity, with over 10 years of teaching experience in higher education. Research interests include Agent-Oriented Programming (via the CAOPLE language), game technologies (including procedural generation and gamification), and semantic systems. He is affiliated with the Artificial Intelligence, Data Analysis and Systems (AIDAS) Institute and the Cloud Computing and Cybersecurity Group (CCC). Notable achievements include the 2017-18 Brookes Union Award for Outstanding Contribution to the Student Experience. Teaching modules include Secure Systems Architecture, Game Technologies and Development, and Software Development with C and C++. He has supervised MSc projects in experimental game development, web UI design, and AI applications. His research outputs include contributions to microservices development (CIDE IDE) and formal methods in system analysis. Awards: Brookes Union Award (2017-18) Professional Affiliations: mBCS member Consultancy: Developed a configurable Fruit Machine simulator for psychological research
Julián Arenas Guerrero is an Assistant Professor at the Faculty of Computer Science, Universidad Politécnica de Madrid (UPM). He is affiliated with the Ontology Engineering Group (OEG) and participates in the ENTENTE project. His research focuses on Knowledge Graphs, Data Integration, and Semantic Web technologies, with contributions to RML-star mappings, virtual knowledge graph architectures, and scalable knowledge graph materialization frameworks like Morph-KGC. Educational background includes a Computer Science Engineering degree from Universidad Complutense de Madrid (2019) and a Master's in Artificial Intelligence from UPM (2020). Prior to academia, he worked as a Data Scientist at GMV Innovating Solutions. Research interests emphasize declarative data mapping, semantic data integration, and RDF-star technologies. His work addresses challenges in heterogeneous data transformation, ontology-driven systems, and federated query processing. Recent contributions include benchmarks for OBDA systems (LUBM4OBDA) and high-level ontology networks for ICT infrastructures. Publications span 2020-2025 with a focus on advancing semantic web methodologies. No scientific awards explicitly mentioned, but active in international research collaborations through OEG.
María Poveda Villalón is an Assistant Professor in the Artificial Intelligence Department at Universidad Politécnica de Madrid (UPM). She holds a PhD in Artificial Intelligence (Cum laude, 2016) and has held research positions at UPM since 2007. Her work focuses on ontology engineering, semantic web technologies, and IoT interoperability. Education: PhD in Artificial Intelligence (2016), UPM Master in Artificial Intelligence (2010), UPM Computer Science Engineering (2009), UPM Research Interests: Ontology evaluation methodologies, ontology reuse frameworks, semantic interoperability in IoT, and standardization efforts (e.g., W3C Web of Things, ETSI SAREF). She co-developed OOPS! and OnToology, tools for ontology diagnosis and collaborative management. Awards: Semantic Web Journal Outstanding Paper Award (2017) ACTUAUPM 2015 Business Innovation Award Collaborations: Includes Mondeca (France), Free University of Berlin, University of Liverpool, and Vicinity Network projects. Active in international initiatives like Linked Open Vocabularies (LOV).
Dieter W. Fellner is a distinguished Professor of Computer Science at Technical University of Darmstadt, Germany, where he serves as Director of the Fraunhofer Institute of Computer Graphics (IGD). He also holds a concurrent position as Professor of Computer Science and Founding Director of the Institute of Computer Graphics and Knowledge Visualization at Graz University of Technology, Austria. With a career spanning over three decades, Fellner has established himself as a leading figure in computer graphics, digital libraries, and related fields. Education: Diploma in Technical Mathematics, Graz (1981) Doktorate (Ph.D.) in Technical Mathematics, Graz (1984) Habilitation, Graz (1988) Professor Fellner's research spans multiple domains within computer science, with a primary focus on computer graphics and its applications. His work encompasses computational geometry, 3D modeling and rendering, virtual and augmented reality, and digital libraries with emphasis on cultural heritage preservation. He has made significant contributions to algorithms for integrating modeling and rendering processes, efficient visualization techniques, and generative modeling approaches. His research extends to practical applications in internet-based multimedia systems, where he coordinated a strategic initiative funded by the German Research Foundation that supported approximately 50 researchers across 21 groups from 1997 to 2005. An analysis of Professor Fellner's publication record reveals a consistent trajectory of innovation in computer graphics and digital document systems. His early work focused on foundational graphics algorithms and videotex systems, evolving toward more complex 3D document modeling, visualization techniques, and digital library architectures. A notable trend is his interdisciplinary approach, bridging computer graphics with applications in cultural heritage, bioinformatics, and brain-computer interfaces. His research demonstrates a progression from theoretical algorithms to practical implementations addressing real-world challenges in information visualization and knowledge management. Scientific Awards: Fellow of the Eurographics Association (2000) Member of the IST Advisory Group for the European Commission (ISTAG) (2007) Best Technical Paper Award (Günther Enderle Award) at Eurographics'98 Conference Honorary Doctorate from the University of Rostock (2019) Throughout his career, Professor Fellner has supervised numerous students and researchers, though specific names are not documented in the available sources. His leadership extends to significant grant activities, most notably coordinating the German Research Foundation's strategic initiative on distributed processing and mediation of digital documents from 1997 to 2005. This major project provided funding for approximately 50 researchers annually across 21 research groups, demonstrating his capacity to lead large-scale collaborative research efforts. He has also served on editorial boards of leading journals and program committees of international conferences, shaping the direction of research in his fields of expertise. Professor Fellner directs the Fraunhofer Institute of Computer Graphics (IGD) in Darmstadt, a prominent research institution focused on applied computer graphics. He also founded and chairs the Institute of Computer Graphics and Knowledge Visualization at Graz University of Technology. These institutions serve as hubs for interdisciplinary research, bringing together computer scientists, domain experts, and industry partners to advance the state of the art in visualization, digital libraries, and knowledge management systems. The teams under his leadership have produced influential work in 3D document processing, cultural heritage digitization, and advanced visualization techniques.
Christopher Gutteridge is a Senior Software Engineer (Research) at the University of Southampton's School of Electronics and Computer Science. He has been instrumental in developing key research infrastructure, including the EPrints software (versions 2.0 and 3.0) and the University's open data service. His work has significantly contributed to the open access movement and earned him prestigious awards such as the Times Higher Education Award (2012) and the Jason Farradane Award (2018). His research interests span Open Data, Open Access, and Linked Data, with a focus on improving data management practices and accessibility. He has also explored innovative applications of technology, such as QR codes for public transport information and Minecraft-based research communication. Christopher has built critical systems like the all.soton mailing list service, the ECS Intranet, and CAPE—a tool for creating static websites from datasets. His technical expertise and contributions to the information profession have been recognized through awards and his leadership in developing open science tools. Awards: Times Higher Education Award (2012): Outstanding ICT Initiative of the Year Jason Farradane Award (2018) UK's Unix & Open Systems User Group (2005) His projects emphasize collaboration, such as co-developing systems with the Library and the Technical Innovation Team, and his work continues to bridge software engineering with research dissemination.
Fabrizio Montesi is a Professor and Head of Section in the Department of Mathematics and Computer Science at the University of Southern Denmark. He holds a leadership role as President of the Microservices Community since 2019. His research focuses on Choreographic Programming, Programming Languages, Cybersecurity, and Distributed Systems, with notable contributions to frameworks like Jolie and Choral. Montesi has secured significant grants, including EU Horizon Europe funding and Villum Foundation awards. He has supervised PhD students in microservices development and contributed to over 90 research outputs. His work emphasizes formal methods, concurrency, and secure distributed systems design. Research Interests His primary research areas include choreographic programming models, formal verification of distributed systems, and cybersecurity in microservices architectures. He explores theoretical foundations such as session types, process calculi, and linear logic, while developing practical tools like the Choco project for choreography-based IT systems. His work bridges theory and practice through frameworks like Jolie, enabling secure and scalable service-oriented computing. Grants & Projects - CHORDS (EU Horizon Europe) : Choreographies for Distributed Systems (2024–2029)\n- X-IDF : Explainable Internet Data Flows (2022–2026)\n- Choco : Choreographies for connected IT systems (2020–2025). Projects emphasize cybersecurity for SMEs and formal methods for distributed systems. Awards - Best Artefact Award (2023)\n- Villum Synergy Grant (2022)\n- Distinguished Paper Award (2021)\n- Villum Young Investigator (2019)\n- Innovation Prize (2017). Media & Outreach Montesi has engaged with media on topics like AI tools for media houses, cybersecurity for SMEs, and Denmark’s success in EU research grants. His work is cited in Wikipedia and discussed in academic networks.
Dr James Stuart Taylor is a Lecturer in Archaeology and Digital Methods at the University of York's Department of Archaeology. He directs the MA in Field Archaeology and contributes to Digital Archaeology and Digital Heritage MSc programs. His research focuses on Neolithic Archaeology, particularly in Greece, the Eastern Mediterranean, and Anatolia, alongside digital methodologies like GIS applications and archaeological data management. He co-directs the Toumba Serron Research Project in Greece and previously served as Co-Field Director of the Çatalhöyük Research Project in Turkey. Taylor actively engages in digital archaeology initiatives, including The Matrix (FAIR data standards) and the Aide Memoire Project exploring drawing practices. He is a co-founder of the CAA SIG on 3D Spatial Analysis. Education and Professional Background: Taylor has over 25 years of archaeological experience, including roles in UK commercial archaeology (Birmingham Archaeology, Pre-Construct Archaeology) and freelance work across Europe, the Middle East, and North Africa. His PhD (2016) examined GIS applications in spatiotemporal analysis at Çatalhöyük. Research Interests: His work bridges prehistoric material culture studies with digital innovation, emphasizing FAIR data principles, stratigraphic analysis, and the impact of digital tools on archaeological practice. He investigates Neolithic social organization through settlement patterns and material engagement theory. Key Projects: The Çatalhöyük Research Project (2012–2019) and current Toumba Serron excavations demonstrate his focus on long-term settlement analysis and interdisciplinary collaboration. The Matrix project addresses digital data archiving challenges, while Aide Memoire explores analog-digital method intersections. Professional Roles: In addition to teaching and research, Taylor serves as Departmental Ethics Representative and International Coordinator at York. He organizes international conferences sessions and collaborates with institutions like Historic England and National Cheng Kung University. Lab and Team Affiliations: Collaborations include the Hypermedia Research Group (South Wales), Çatalhöyük international team, and Aide Memoire consortium partners. His work contributes to global archaeological data standards and open science practices.
Dr. Sam Smith is a Reader in Anthropology at the School of Law and Social Sciences, Oxford Brookes University. His research focuses on the Terminal Pleistocene and Early Holocene archaeology of South West Asia, with particular emphasis on the emergence of sedentary, food-producing societies and chipped stone tool analysis. University: Oxford Brookes University School: School of Law and Social Sciences Academic Rank: Professor (mapped from 'Reader') Sam specializes in typological, technological, and use wear analysis of stone tool assemblages, with fieldwork experience in the UK, Middle East, and Sub-Saharan Africa. He collaborates with geographers, hydrologists, and meteorologists to explore human-climate interactions in semi-arid regions. His projects include the Barqa Epipalaeolithic initiative and sedaDNA, Environmental Changes and Demography in Oman , funded by the Society of Antiquities of London (£14,907). Recent publications highlight his interdisciplinary work spanning Climate Science , Archaeology , and Ontology , with a focus on the Southern Levant Neolithic, atmospheric dynamics, and occupational data standards. He has supervised research students Sophie Edwards and Jon Gorrie. Sam's work integrates human origins , palaeoenvironmental reconstruction , and multidisciplinary methodologies , reflecting his leadership in the Human Origins and Palaeo Environments (HOPE) group and contributions to understanding early human societies in Jordan's Wadi Faynan.
Professor Alexander Fay is a faculty member at Ruhr University Bochum, leading the Automation Engineering department within the Faculty of Electrical Engineering and Information Technology. His roles include Head of Department and a prominent researcher in automation technology, Industry 4.0, and cyber-physical systems. Educated at TU Braunschweig, he has extensive industry experience from ABB and academic leadership at HSU/UniBw Hamburg. His research focuses on automation systems, energy optimization, and autonomous robotics, with notable contributions in digital twin frameworks, agent-based control, and industrial data management. He has been honored with awards such as the MIT Review's 'Top 100 Young Innovators' and the Golden Badge of Honour from NAMUR. His work integrates interdisciplinary approaches, emphasizing practical applications in manufacturing, energy systems, and aerospace maintenance. Key collaborations include projects on modular electrolysis plants and U-space drone traffic management. His academic output spans over 70 publications in top-tier journals and conferences, reflecting expertise in automation theory and industry-relevant solutions.
Robert A McDougal is an Assistant Professor in the Department of Biostatistics at Yale School of Medicine. He serves as Co-Training Director for the Health Informatics MS program and maintains affiliations with the Computational Biology and Bioinformatics graduate program, Yale Center for Medical Informatics, and Center for Biomedical Data Science. PhD in Mathematics (2011), Ohio State University MS in Computational Biology and Bioinformatics (2015), Yale University Postdoctoral Training (2012-2016) at Yale in Computer Science, Neurobiology, and Medical Informatics His research focuses on computational neuroscience and biomedical data science , developing methods for: Aggregating experimental data Building standardized models of neuronal activity Simulating intracellular and network dynamics Applying AI to literature analysis and lesion localization Advancing NEURON simulator capabilities Developing NeuroML standards Recent publications demonstrate expertise in generative AI applications for neurological diagnosis, reaction-diffusion modeling , and multi-scale brain simulation . He currently leads NIH-funded research on brain dynamics modeling and collaborates on Alzheimer's disease studies.
Sébastien MONNET is a Professor at the University of Savoie Mont Blanc since 2016, affiliated with Polytech Annecy-Chambéry and the LISTIC laboratory (deputy director). Previously, he was an Associate Professor at Sorbonne University (2007–2016) and held roles at Inria. His HDR (2015) focuses on data replication in large-scale distributed systems. Education: PhD and HDR in Computer Science Research Interests: Focuses on distributed systems, fault tolerance, data replication protocols, cloud computing, and simulation methodologies. Recent work includes federated learning energy estimation, semantic integration in smart systems, and optimization of distributed architectures. Key Projects: ANR RainbowFS (2016–2020): Geo-replicated database optimization AAP USMB DEDICATED (2019–2020): Distributed AI and smart home systems ARMADA (2013–2015): Chile-France collaboration on cloud reliability Advising & Grants: Supervised 12+ PhD/Master students Co-PI in CNRS-Araucaria (2015–2017) and Maimonide (2014–2015) projects Labs/Teams: Deputy director of LISTIC, leading the ReGaRD theme (Resilient and Adaptive Distributed Systems).
Lars Espen Andersen is an Associate Professor at the Department of Strategy at BI Norwegian Business School and an Associate Professor II at the Department of Informatics, University of Oslo. He co-leads BI's Center for Digitalization and conducts research in digital innovation, technology strategy, and digital business transformation. His academic background includes a Doctor of Business Administration from Harvard Business School and a Master of Science in Economics from BI. Position: Associate Professor, Department of Strategy, BI Norwegian Business School Secondary Appointment: Associate Professor II, Department of Informatics, University of Oslo Research Center: Co-leader, Center for Digitalization at BI Past Roles: European Research Leader at The Concours Group, Research Affiliate at Computer Sciences Corporation Research Services Visiting Positions: Bentley University, MIT Center for Information Systems Research His research interests center on digital innovation and strategy, with a focus on how organizations adapt to technological change. Key areas include digitalization, enterprise search, the semantic web, disruptive innovation, and the strategic use of data. He explores how technology reshapes business models, organizational structures, and leadership practices, particularly in the context of digital transformation. His recent publications examine data-driven organizations, the challenges of digitalization in Norwegian enterprises, and the implications of technological singularity. These works reflect a strong trend toward understanding the strategic and managerial dimensions of emerging technologies, especially big data, AI, and digital ecosystems. Andersen is an active public intellectual, contributing opinion pieces in outlets like Aftenposten and Dagens Næringsliv on topics ranging from digital leadership to education and innovation policy. He maintains a personal website (espen.com) and blogs in both Norwegian and English. While no formal advising or awards are listed, his extensive publication record and leadership in digitalization research underscore his impact in the academic and professional communities. He has also contributed to teaching through case development in technology-rich environments.
