Thomas Rausch is an External Researcher and former University Assistant at TU Wien's Distributed Systems Group (Faculty of Informatics). He holds a PhD in Computer Science (2021) and master's degree in Software Engineering from TU Wien (2016). His work focuses on edge computing, cloud engineering, and AI systems, with notable contributions to frameworks like LocalStack and CognitiveXR. Education: M.Sc. in Software Engineering & Internet Computing (2016), Ph.D. in Computer Science (2021 – TU Wien). Research Interests: Edge computing systems, distributed interactive systems, cognitive augmentation, and cloud-edge AI integration. He has pioneered privacy-preserving edge systems and serverless platforms for data-intensive workloads. Publications: Over 20 peer-reviewed articles on edge computing frameworks, privacy-aware systems, and large-scale AI operations. Recent work includes faas-sim (2023) and Mobility-Aware Serverless Adaptions (2022). Awards: SEC 2019 Best Demo Award, 2020 Netidee Grant, Finalist TU Wien Teaching Awards. Grants: Netidee Grant (2020), CPS/IoT Ecosystem collaboration (2019–present). Teams: Founded CognitiveXR (edge-AI platform) and co-founded LocalStack (serverless testing).
Henderik Proper is a Full Professor of Business Informatics at TU Wien's Faculty of Informatics, leading the Research Unit in Business Informatics. He holds roles as Head of Research Unit, Faculty Council Substitute Member, and Curriculum Commission Principal Member. His expertise spans enterprise architecture, digital transformation, and conceptual modeling. Education: Holds a PhD and has held academic positions at TU Wien and previously at the University of Nijmegen. Research focuses on enterprise modeling, AI-driven systems, and governance frameworks. He leads projects like INTEND (2024–2026) and MFP 4.2 (2022–2023), emphasizing digital twin integration and low-code applications. Publications: Over 50 peer-reviewed articles in top venues like Springer and IEEE, focusing on enterprise engineering, process mining, and AI applications. His work bridges theory and practice, addressing challenges in digital transformation and model-driven architectures. Grants: Active in EU-funded projects (INTEND) and national initiatives (MFP 4.2). Advises on doctoral theses and teaches courses like 'Enterprise & Process Engineering' and 'Ontology-Driven Conceptual Modeling'. Labs/Teams: Leads research groups on enterprise architecture and digital systems within TU Wien's Informatics department, collaborating internationally on standards like ArchiMate extensions.
Alireza Furutanpey is a University Assistant (PreDoc Researcher) at TU Wien's Distributed Systems Group within the Institute of Information Systems Engineering, holding a Master's degree with distinction. His academic role combines research in distributed systems with teaching responsibilities for core computer science courses. His educational background includes: Bachelor of Science (BSc) Master of Science (Dipl.-Ing.) with distinction Furutanpey's research centers on Edge Computing and Edge Intelligence, specializing in Distributed Inference, Neural Data Compression, and AI-Systems integration. He pioneers techniques for neural feature compression in satellite/edge environments and develops frameworks for federated learning orchestration under communication constraints. His work bridges theoretical AI with practical system implementation, focusing on resource-constrained scenarios where bandwidth and computational efficiency are critical. Analysis of his 15+ publications reveals dominant trends in neural compression for distributed systems (60%), federated learning optimization (25%), and serverless edge frameworks (15%). Key contributions include solving satellite downlink bottlenecks through feature compression and enabling adaptive inference in heterogeneous edge networks, with methodologies increasingly incorporating generative modeling and robustness against adversarial attacks. Scientific Awards: None documented in available sources. He actively supervises master's theses, guiding students on adversarial machine learning, neural compression, and image retrieval systems. His research is supported through major projects: AloTwin (2023-2025) focusing on edge intelligence, INTEND (2024-2026) on industrial IoT, and TEADAL (2022-2025) on federated learning. He serves as a reviewer for 15+ IEEE/ACM venues including IEEE Transactions on Mobile Computing and ICDCS. Furutanpey operates within TU Wien's Distributed Systems Group, which specializes in edge-cloud continuum research. The team develops tools like faas-sim for serverless edge simulation and explores quantum-classical hybrid architectures, maintaining strong industry collaborations in industrial IoT and satellite communications.
Heather Neyedli, PhD, is an Associate Professor in the School of Health and Human Performance at Dalhousie University. Her research focuses on human-technology interaction in military and sports contexts, motor learning, and decision-making processes. She leads the Cognitive and Motor Performance Lab and coaches the Dalhousie Women’s Rugby Team. Education: Postdoctoral Fellowship: Nuffield Department of Clinical Neurosciences, University of Oxford PhD: Kinesiology and Physical Education, University of Toronto M.A.Sc: Mechanical and Industrial Engineering, University of Toronto BSc (Honours): Kinesiology, Dalhousie University Research Interests: Dr. Neyedli explores how humans interact with AI, automated systems, and technology. Key areas include: Trust in automation (e.g., military systems, sports technology) Cognitive and motor performance adaptation Error correction and skill acquisition Human decision-making under uncertainty Recent Publications: Her work spans VR training efficacy, trust calibration in automation, and team performance in complex missions. Recent studies examine navigation performance with haptic feedback and the impact of automated planning aids on situation awareness. Labs/Teams: Directs the Cognitive and Motor Performance Lab, collaborating on projects involving neurorehabilitation, sports biomechanics, and human-technology interfaces.
Kari Systä is a Professor of Software Engineering at Tampere University's Faculty of Information Technology and Communication Sciences. His career spans academia and industry, including 16 years at Nokia Corporation and current leadership in software engineering research. He teaches courses like Continuous Development and Deployment - DevOps and supervises Master's theses. Research Focus: Data-driven software engineering, web/cloud platforms, IoT architectures, energy systems software, and edge computing. Current Projects: LiquidAI (2023-2025) for IoT-Edge-Cloud ML systems; 6GSoft (2023-2026) for 6G software engineering; Microblock (2021-2023) on blockchain micro-credentials; and DELI (2023-2025) for energy research infrastructure. Research Unit: Leads work at TASE (Tampere Software Engineering Research Group). His expertise bridges software engineering theory and practice, with collaborations across Finnish universities and industry. He advocates for integrating AI/ML into software development workflows and optimizing energy systems through programmable edge-cloud solutions.
Kosmas Tsakmakidis is an Assistant Professor in Condensed Matter Physics at the National and Kapodistrian University of Athens (NKUA), Greece, since March 2018 (tenured from Nov 2021). He has held research fellowships at the University of Surrey (2008-2010), Imperial College London (2011-2013), UC Berkeley (2014-2015), University of Ottawa (2015-2016), and EPFL (2017-2018). His research spans condensed matter photonics, nanophotonics, and topological photonics, with seminal work on rainbow trapping , slow/fast light, metamaterials, plasmonics, and invisibility cloaking. His contributions have redefined wave control paradigms and extended the rainbow trapping effect to topological regimes. Recent publications highlight trends in topological photonics , including tunable index-near-zero modes, unidirectional surface magnetoplasmons, and complex-frequency-driven wave manipulation. His work bridges theoretical insights (e.g., 3D one-way wave equations) with applied breakthroughs (e.g., chiral sensing, THz isolation). Awards : Royal Academy of Engineering/EPSRC Research Fellowship (2008) Institute of Physics Best PhD Thesis Prize (2010) UK Parliament Recognition (2010) University of Surrey Researcher of the Year (2010) Academy of Athens Lycurgus Award (2021) NKUA Award (2023)
Professor Antonio Gil is a faculty member at Swansea University within the Faculty of Science and Engineering , specifically in the Department of Civil Engineering . He graduated magna cum laude from the University of Granada (Spain) in 1999 and earned his PhD in computational analysis of non-linear structural membranes at Swansea University in 2005, winning the UK Society for Computational Mechanics best PhD paper in 2004. Education: Ingeniero de Caminos, Canales y Puertos (University of Granada, 1999); MSc in Computational Mechanics; PhD in Computational Mechanics (Swansea University, 2005) Research Interests span Computational Mechanics , Fluid-Structure Interaction , Finite Strain Modeling , and Soft Robotics , with a focus on physics-informed machine learning and multi-physics simulations. His work addresses challenges in electromechanical systems , cardiac mechanics , and high-strain dynamics . Recent Publications highlight advancements in SPH algorithms , topology optimization , and hyperelastic metamodels , reflecting his leadership in numerical methods and material modeling . These contributions have been recognized by prestigious awards including the Philip Leverhulme Award (2011) and the Olgierd Cecil Zienkiewicz Award (2016) . Scientific Awards: UK Philip Leverhulme Award (2011) Olgierd Cecil Zienkiewicz Award (2016) 1st National Award (Spanish Ministry of Education, 2000) Grants include coordination of the Erasmus Mundus PhD Program and leadership in H2020 Marie Curie ETN projects with budgets exceeding €6M. His supervision covers PhD projects in soft robotics , computational fracture , and MRI scanner design .
Hirasawa Mitsuaki is an Assistant Professor (2023-2026) and Fixed-term researcher at the University of Milan-Bicocca's Department of Physics "Giuseppe Occhialini". His research focuses on theoretical particle physics and quantum gravity, with specialization in non-perturbative methods for quantum field theories. Research interests span several interconnected domains: Lattice gauge theories : Investigating CP restoration in Yang-Mills theories at finite temperature using imaginary θ simulations Matrix models : Studying emergent spacetime dynamics in Lorentzian type IIB matrix models Computational methods : Developing complex Langevin techniques to overcome sign problems in quantum systems Quantum gravity : Exploring spacetime emergence mechanisms in high-energy physics frameworks Recent publications (2019-2025) demonstrate consistent focus on non-perturbative aspects of quantum field theories and quantum gravity. Primary research threads include: 1) Numerical investigation of CP-violating phases in gauge theories, 2) Spacetime emergence in matrix models using novel regularization techniques, and 3) Development of advanced complex Langevin methods for lattice simulations. The work frequently combines theoretical formalism with large-scale computational approaches. No scientific awards, prizes, or fellowships are mentioned in available sources. Available records show no information regarding student advising, research grants, laboratory affiliations, or team collaborations.
Mikko Kanerva is a Professor in the Department of Materials Science and Environmental Engineering at Tampere University, Faculty of Engineering and Natural Sciences. His research focuses on computational materials science, biocomposites, and advanced composites, emphasizing sustainable and programmable materials. He leads the Plastics and Elastomer Technology research group, collaborating with academic and industrial partners globally. His work integrates synthesis, experimental characterization, and numerical modeling to address challenges in composite material durability and multi-scale mechanical behavior. He holds positions in several academic-industrial societies, including the Finnish Plastics Industries Federation (board member), International Council of the Aeronautical Sciences (PC), and SAMPE Finland (chair). His research spans composite interfaces, material degradation under environmental conditions, and bio-based materials innovation. Key trends in his publications include: 1) advanced composite characterization techniques (e.g., microbond tests, SEM analysis), 2) environmental sustainability in material design, and 3) aerospace applications of composite materials. His work bridges fundamental science and industrial applications, with a focus on multi-disciplinary approaches combining experiments and simulations. Current research emphasizes scalable composite materials for mechanical strength, bio-compatibility, and programmatic compostability. He advises on material selection for military and civilian aircraft structures, and collaborates on developing natural-source sandwich cores and bio-derived polymers.
Professor Ian Masters is a Professor of Mechanical Engineering at Swansea University, affiliated with the School of Aerospace, Civil, Electrical and Mechanical Engineering within the Faculty of Science and Engineering. His primary research focuses on marine and tidal energy systems, including tidal turbine blade dynamics, CFD modeling of wave machines, and environmental impact analysis of marine energy sites. He co-founded the Low Carbon Research Institute Marine Consortium (LCRI Marine) in 2006, driving research into renewable energy from oceanic and riverine systems. He previously served as Financial Director of Swanturbines Ltd, a marine renewable energy company. His research interests span tidal and wave energy converters, fluid-structure interaction, and offshore engineering. Notable contributions include the development of the Remote River Energy System, a low-maintenance turbine design for remote areas, and pioneering work on flexible polymer-based materials for energy harvesting. He collaborates extensively with industry and governmental bodies, such as the Marine Energy Task Group for Wales, to advance marine energy standards and industrial relevance. Recent publications emphasize advanced modeling techniques (e.g., phase field formulations for fracture mechanics) and field studies on tidal farm interactions with coastal environments. His work bridges computational innovation with real-world applications, addressing challenges like turbine array performance, material fatigue, and energy-grid integration. He supervises PhD students exploring topics such as fatigue-resistant elastomers, structural health monitoring, and tidal turbine simulation. Professor Masters is based at the Energy Security Research Institute on Swansea’s Bay Campus and actively contributes to interdisciplinary initiatives, including the Morgan Advanced Studies Institute. His research aims to optimize renewable energy systems while minimizing environmental impacts, reflecting Swansea’s commitment to net-zero carbon futures.
Prof. Dr. Patrick Dondl is a Professor of Applied Mathematics at the Albert Ludwig University of Freiburg , leading the Department of Applied Mathematics. He specializes in Calculus of Variations , Partial Differential Equations , and Scientific Computing , with a focus on interdisciplinary applications in biomaterials and biomechanics. His research includes projects funded by the Cluster of Excellence livMatS, such as the non-local meta-material of the pomelo peel for bio-inspired long-fiber reinforcement. He supervises doctoral student Simone Hermann and collaborates on studies analyzing plant mechanics (e.g., cactus branch abscission, Carex pendula structural adaptations). Prof. Dondl’s work bridges theoretical mathematics with practical applications, including homogenization limits of elastic networks and computational models of plant morphology. His office is located at Room 217, Hermann-Herder-Straße 10, Freiburg, and he holds regular office hours on Mondays 14:15–15:45.
Sergio Moreschini is a Postdoctoral Researcher in Computing Sciences, focusing on Artificial Intelligence, Edge Computing, and MLOps. His research explores the integration of AI techniques in microservices, cloud-edge continuum systems, and distributed home automation frameworks. He has contributed to foundational studies such as a Systematic Mapping Study on AI in Microservices Life-Cycle and developed frameworks like Flexconnect for mobile computational offloading. Education: He holds a Bachelor of Science in Technology (2012) and a Higher-Degree in Computing from Università Degli Studi Roma Tre (2016). His work aligns with UN Sustainable Development Goal 4 (Quality Education) through contributions to educational tools and methodologies. Research Interests : Moreschini investigates AI lifecycle management, edge-cloud system orchestration, vulnerability analysis in open-source components, and generative AI applications in software architecture. Key areas include fault-tolerant distributed systems, cognitive cloud continuum frameworks, and MLOps tool ecosystems. Recent Trends in Publications : Recent work emphasizes MLOps adoption challenges, self-organizing edge computing for visual SLAM, and best practices in resource provisioning for cognitive systems. He has explored trade-offs between continuous training and transfer learning in edge environments, and evaluated vulnerability severity metrics in open-source software. Awards : Won the Best Paper Award in 2022 for contributions to industrial edge service scheduling. Data Contributions : Co-created datasets like RARE (cloud-native memory anomalies) and CIVIT (integral microscopy recordings). His collaborative projects include the 6GSoft initiative for edge-cloud continuum systems and the OSSARA tool for open-source component risk assessment. Active in international conferences like IoT and SEAA, he bridges academic research with industrial applications in edge computing and AI infrastructure.
Anna Reggio is an Associate Professor in the Department of Structural, Building and Geotechnical Engineering (DISEG) at the Polytechnic University of Turin. She is a member of the Interdepartmental Center SISCON, dedicated to the Safety of Infrastructures and Constructions. Her academic work spans both research and teaching across civil engineering and architecture disciplines. She actively contributes to doctoral education as a member of the teaching college for the Civil and Environmental Engineering PhD program. Research Interests: Civil and structural engineering Engineering mechanics Seismic risk and reliability Structural dynamics Vibration control and monitoring Computational engineering Mechanics of Solids and Structures Her research focuses on enhancing the seismic resilience of structures and infrastructure, with applications in bridges, façades, and critical facilities such as hospitals. She employs advanced computational methods and experimental techniques to analyze structural performance under dynamic loads. Recent Publication Trends: Her latest publications (2023–2024) reflect a strong focus on earthquake engineering, structural dynamics, and optimization. Topics include non-destructive testing of bridges, nonlinear dynamic behavior of glass façades, shape optimization of beams, and seismic resilience of medical equipment. These works demonstrate her expertise in both theoretical and applied structural engineering, particularly in the context of safety and sustainability. Grants and External Roles: She held a research contract at the University of Rome "La Sapienza" (2012–2013), indicating external research collaboration beyond her home institution. Teaching Activities: Course leader/instructor for "Construction Workshop F" and "Building Construction Studio B" in the Architecture program (2019–2026) Course collaborator for "Dynamics of Structures" and "Building Science" in Civil Engineering Member of the College of Architecture and Design Patents: Seismic safety belts for industrial warehouses (hanging system) – National Patent (co-inventor) Labs and Research Centers: She is affiliated with the SISCON Interdepartmental Center, which supports interdisciplinary research on infrastructure safety, including structural monitoring, risk assessment, and disaster resilience.
Dr. hab. Rafał Kotwis is a Professor at the University of Arts in Poznań (UAP), employed continuously since 2006. He heads the 1st Studio of Sculpture and Environment within the Faculty of Sculpture and lectures in Computer Techniques in Sculpture since 2015. Concurrently, he serves as a Lecturer at Collegium da Vinci in Poznań from 2022. His administrative tenure includes Dean of the Faculty of Sculpture (2020–2023), UAP Senator (2020–2024), and Faculty Coordinator for PhD Studies (2018–2019), confirming active faculty status without former or retired designation. Educational Background: 2000–2005: Faculty of Painting, Graphic Arts and Sculpture, University of Arts in Poznań (UAP) 2002–2005: Philosophy, Adam Mickiewicz University (interrupted) 2012: Doctoral degree obtained, Assistant Professor appointment 2020: Post-doctoral degree obtained, Professor appointment Kotwis’s research centers on the critical examination of digital technology’s impact on sculptural practice and human experience. Early works analyzed aestheticization of everyday life as cultural dysfunction, while current focus explores artistic immersion and dehumanization through electronics appropriation, where technology replaces or filters reality. His methodology combines resin, steel, electronics, and 3D printing to investigate tensions between virtual and physical realms. Projects like the Made by Kotwis series merge aesthetics with functionality, examining how digital tools redefine artistic predicates and mass cultural seduction. His publications (2022–2024) reveal consistent thematic progression: from material analysis of 3D printing (e.g., Temptation of Zbrush series) to philosophical inquiries about AI’s relationship with art. Works address digital figuration limits, virtual-physical reality translation, and contemporary art definitions, all contextualized within his hands-on studio practice. This output bridges artistic creation with academic discourse, emphasizing technology’s role in reshaping sculptural form and cultural perception without explicit grant documentation. No scientific awards, prizes, or medals are referenced in the provided materials. Kotwis’s academic leadership includes direct oversight of PhD studies coordination and university governance. His roles demonstrate institutional commitment to scientific quality and educational advancement: Advising & Academic Service: Faculty Coordinator of PhD Studies (2018, 2019) Science and Art Festival coordination (2012, 2015, 2019) Administrative Leadership: Dean of Faculty of Sculpture (2020–2023) Vice-Dean of Faculty of Sculpture (2016–2020) Faculty Coordinator for Quality of Scientific Activity (2023–present) UAP Senator (2020–2024) Scientific Council membership (2020–2024) Committee Involvement: Medals and Decorations Committee (2016–2022) University Council for Science and Quality of Education (2016–2020) PKA team (2014–2019) Art high school promotion trips (2016–2018) His primary creative base is the Sculpture and Environment Studio at UAP, where resin, steel, and electronic components are integrated with 3D printing to produce immersive objects. The PKA team (2014–2019) at the Faculty of Sculpture functioned as a collaborative unit for academic development, though specifics of its mandate are unelaborated. Current studio practice focuses on ABS resin artworks exploring electronic dehumanization, as seen in 2024’s Temptation of Zbrush III series, operating as a hub for digital-physical artistic synthesis.
Isabelle Chrisment is a prominent computer science academic and research leader, currently serving as Director of the Inria Research Center at the University of Lorraine and Inria Branch at the University of Strasbourg since July 1, 2025. Her career spans significant roles at Inria, including leadership positions in the MADYNES and RESIST project teams. Inria Center Director (University of Lorraine & Strasbourg) Professor at TELECOM Nancy (2006-present) Deputy Director (2009-2014) Scientific Director of MADYNES (2014-2017) Her research focuses on network security and resilient system design , particularly in the Cloud-Networks-IoT continuum . She specializes in creating secure communication systems and supervising dynamic networks. Her academic contributions include 30+ years of research projects across Inria's nine research centers, with particular emphasis on network lifecycle management and exploratory research actions . She continues to shape France's AI research landscape as Deputy Scientific Director for Inria's "Networks, Systems and Services, Distributed Computing" research area.
