Santi Roca Fabrega is a Researcher and Research Engineer at the Division of Astrophysics, Lund University, Sweden. He holds a PhD in Astrophysics (2014) from the University of Barcelona, with prior postdoctoral roles at the Hebrew University of Jerusalem, Universidad Complutense de Madrid, and IAUNAM-Ensenada. His research focuses on numerical simulations of galaxy formation, galactic dynamics, and Milky Way structure. He coordinates major projects like AGORA-CosmoRun and leads WP6 of ARRAKIHS. He has advised five PhD students and contributes to education via graduate courses in Spain. Education: BSc Physics, Universitat de Barcelona (2009) MSc Astrophysics, Universitat de Barcelona (2010) PhD Astrophysics, Universitat de Barcelona (2014) MSc High-School Education, UNED (2017) Research Interests: Galaxy formation and evolution, cosmological simulations, numerical modeling of galactic structures (bars/spiral arms), and kinematic analysis of the Milky Way and Large Magellanic Cloud. Recent Work: Publications (2023-2024) emphasize galactic dynamics, AGORA simulations, and stellar kinematics. Key contributions include analyzing tidal streams in the Dark Energy Survey and interpreting LMC-like disc simulations (KRATOS project). Projects: Leads AGORA-CosmoRun, coordinates Gaia-Cost WP1c, and collaborates with eSSENCE: The e-Science Collaboration.
Andrea Rinaldo is a distinguished academic serving as Professor of Hydrology and Water Resources at both EPFL (Switzerland) and the Università di Padova (Italy), with a secondary appointment as Professor Emeritus at EPFL. His career includes roles as Director of the Laboratory of Ecohydrology (ECHO) and leadership in civil engineering departments across multiple institutions. Education: Ph.D. in Fluid Mechanics from Purdue University (1983), followed by a BS/MS in Civil Engineering from Università di Padova (1978, summa cum laude). His research focuses on ecohydrology, water resources management, geomorphology, and waterborne diseases such as cholera and schistosomiasis. Notable contributions include modeling disease spread through river networks and understanding ecological patterns in dynamic landscapes. Awards include the Dalton Medal (2005), AGU Fellow (2000), and recognition by prestigious academies like the US National Academy of Engineering (2006). He has authored over 300 publications, with recent work emphasizing climate change impacts, spatial epidemiology, and metapopulation dynamics. His research integrates hydrology, ecology, and public health, addressing global challenges like disease outbreaks and environmental sustainability.
Jonas Lundberg is a Senior Lecturer in Computer Science at Linnaeus University since 2000, holding a Ph.D. in Theoretical Physics (Umeå University, 1994) and a second Ph.D. in Computer Science (Linnaeus University, 2012). He teaches foundational and advanced courses in programming, machine learning, and compiler design. His research focuses on data-intensive computing, program analysis, and cross-disciplinary projects like the Nordic Tweet Stream (NTS), analyzing social media data from Nordic countries. He leads the Computer Engineering program and participates in CDIO initiatives. Education: Ph.D. in Theoretical Physics, Umeå University (1994) Ph.D. in Computer Science, Linnaeus University (2012) Research interests include machine learning applications in software engineering, program analysis techniques for large codebases, and digital humanities projects leveraging big data. He co-founded the DISA research center (2016) to address challenges in data collection, analysis, and utilization. Recent work involves developing memory-efficient program analysis frameworks and detecting anti-democratic discourse in social media. Key projects include managing the Master's program in Computer Science and advancing self-adaptive systems engineering. His contributions span 70+ publications in venues like IEEE Transactions, Journal of Systems and Software, and conferences such as SAC and DHN. He is affiliated with research groups like Data Intensive Software Technologies (DISTA) and co-leads the Nordic Tweet Stream initiative. His work bridges computational methods with humanities, emphasizing real-time data analysis and cross-disciplinary collaboration.
Sławomir Nowaczyk is a Professor at Halmstad University affiliated with the School of Information Technology . His research focuses on Artificial Intelligence , Machine Learning , and Data Mining , particularly for Streaming Big Data and Self-aware Systems . Current research areas: XAI, diagnostics, knowledge representation, and interdisciplinary AI applications Teaching: Artificial Intelligence , Data Mining , and Operating Systems His work emphasizes data-driven fault detection in distributed systems, with applications in Intelligent Vehicles and Healthcare . He develops adaptive interestingness metrics for real-time data analysis and promotes resource-bounded AI for practical environments. Recent publications reflect expertise in hybrid modeling (physics + data-driven), graph neural networks , and cross-modal diagnostic systems . Collaborations span automotive and smart grid industries through projects like VPMS , FuelFEET , and EVE . PhD Supervision : Current: Yuantao Fan, Pablo del Moral, Ece Calikus, Awais Ashfaq, Shiraz Farouq, Alexander Galozy, Kunru Chen, Ghaith Taghiyar, Zahra Taghiyar Past: Rune Prytz (Volvo), Iulian Carpatorea, Hassan Nemati Projects: ReDi2Service, VPMS, InnoMerge, FuelFEET, EIS-IGS Smart Grids, Science without Borders, In4Uptime, ARISE, IMedA, SeMI, HEALTH, BIDAF, EVE
Dr. Zhen Sun is an Associate Professor (Research) in Ocean Sustainability, Governance & Management at the World Maritime University (WMU) in Malmö, Sweden. She holds a PhD from the University of Cambridge, an LLM with Distinction from the University of Edinburgh, an LLM from China University of Political Science and Law, and an LLB from Hainan University. Her research focuses on international maritime law, shipping regulation, gender equality in ocean governance, climate change impacts, and marine environmental protection. Dr. Sun co-leads high-impact initiatives including the Land-to-Ocean Leadership Programme and the Empowering Women for the UN Decade of Ocean Science programme. She teaches in the MSc Ocean Sustainability, Governance & Management specialization and supervises PhD candidates. Previously, Dr. Sun was a Research Fellow at the Centre for International Law at the National University of Singapore, where she managed projects funded by Singapore's Ministry of Foreign Affairs and Maritime and Port Authority. She has published extensively on law of the sea topics and contributes to editorial projects in maritime law.
Göran Sahlén is a Professor at Halmstad University's Academy of Entrepreneurship, Innovation and Sustainability. His research focuses on understanding how human-driven processes (e.g., climate change, land use) interact with natural ecological systems, using dragonflies (Odonata) as model organisms. Key projects include studies on lake acidification impacts in Sweden, climate adaptation in northern species, and biodiversity assessments in Brazilian ecosystems. He leads projects analyzing species community dynamics in Swedish and Brazilian wetlands and collaborates with American researchers on Arctic dragonfly adaptations. He serves on the Swedish Red List committee for limnic invertebrates and contributes to global dragonfly conservation through IUCN initiatives. Recent publications emphasize land-use impacts on biodiversity, dragonfly morphology, and genetic diversity in circumpolar species. His work bridges ecology, conservation, and applied research, with a focus on translating scientific findings into policy and conservation strategies. Major contributions include advancing methodologies for volunteer-based biodiversity monitoring and demonstrating dragonflies' role as indicators of environmental health.
Per-Erik Forssén is a Senior Associate Professor in the Department of Electrical Engineering at Linköping University, where he conducts research at the Computer Vision Laboratory (CVL). His academic journey includes a PhD (2004) and Docent degree (2009) from Linköping University, with a postdoctoral fellowship at the University of British Columbia's Laboratory for Computational Intelligence (2006-2007). His research focuses on visual perception and perceptual learning for robots , with specific expertise in uncertainty representation , vision for action systems , and continuous-time 3D motion modeling . He leads two major projects: Situation Aware Perception for Safe Autonomous Robotic Systems (ELLIIT-funded) and Dorsal Stream Robot Vision (Swedish Research Council-funded). His publications demonstrate strong focus on robotic vision systems and uncertainty quantification , with recent work exploring deep learning applications for autonomous driving, 3D registration, and human pose estimation. Earlier contributions include foundational work on rolling shutter compensation and video stabilization techniques.
Fredrik Berntsson is an Associate Professor (Docent) in the Department of Mathematics at Linköping University, Sweden. He is affiliated with the Division of Applied Mathematics (TIMA) within the Faculty of Science and Engineering. His work bridges theoretical mathematics and practical applications in engineering and industrial processes. Research Interests: His primary research focuses on inverse and ill-posed problems, particularly in the context of partial differential equations such as the Helmholtz and heat equations. He investigates mathematical modeling and numerical analysis of physical systems, with applications in inverse heat conduction, image processing, biomechanics, and structural dynamics. His interest extends to the stability and accuracy of computational methods used in simulations. Publication Trends: From 2021 to 2025, his publications show a consistent focus on inverse problems, especially iterative methods like Dirichlet-Robin and Robin-Dirichlet procedures for solving Cauchy problems. He also explores industrial applications, such as thermal tracking in steel production and optimal actuator placement in pedestrian-bridge systems, demonstrating a blend of theoretical rigor and real-world relevance. Teaching: He teaches courses in scientific computing, linear algebra, and programming, contributing to both undergraduate and graduate education in mathematical sciences. Affiliations: Department of Mathematics (MAI), Linköping University Division of Applied Mathematics (TIMA) Faculty of Science and Engineering, Linköping University Scientific Awards: No awards listed in the provided text. Advising and Grants: No specific information on students or doctoral advisees is provided. No direct mention of grants or funded projects is available, though his research areas suggest involvement in computational and applied mathematics funding streams. Labs and Research Groups: Applied Mathematics (TIMA) division at MAI focuses on computational mathematics, optimization, and mathematical statistics, where Berntsson conducts his research. His work on steel production simulation involved collaboration with SSAB, indicating industrial research partnerships.
Erik Elmroth is a Professor at the Department of Computing Science, Umeå University. He leads research in distributed systems, cloud/edge computing, and autonomous resource management, directing a 30+ member research group. His leadership includes transformative roles as department head (2009-2021) and Deputy Director at High Performance Computing Center North (HPC2N). Elmroth serves on executive committees for the SEK 6.2B Wallenberg AI program (WASP) and SEK 390M eSSENCE initiative, and leads multiple Kempe Foundation projects. Research interests center on: Autonomous control of cloud/edge infrastructures Software-defined systems and federated clouds AI-driven resource optimization High-performance computing architectures Robust machine learning for distributed environments His publications emphasize adaptive cloud systems, anomaly detection, and federated learning, with consistent focus on scalability and resilience in edge/cloud deployments. Awards and honors: Member of Royal Swedish Academy of Engineering Sciences (IVA) Nordea Scientific Prize (2011) SIAM Linear Algebra Prize (2000) National HPC Lecturer appointment He has supervised 40+ PhD students and secured major grants including the Swedish Research Council's second-largest award for the Cloud Control project. Elmroth founded the Control Workshops series and co-founded Elastisys AB, a cloud security firm with 50+ employees recognized as Umeå's Spin-off Company of the Year.
Paul Townend is an Associate Professor at Umeå University , Sweden, with a Docent qualification. He leads the Green Distributed Computing group and serves as Research Leader for the Autonomous Distributed Systems (ADSLab) lab. Scientific Coordinator for Horizon Europe COGNIT Co-Manager & Scientific Advisor for WASP WARA-Ops Member of WASP Graduate School Management Team His research focuses on energy-efficient and sustainable distributed systems , with a current emphasis on Edge-Cloud integration . Additional areas include fault tolerance, provenance, data center optimization, and simulation . He has supervised 5 PhD students and 2 postdocs , with expertise in IoT, machine learning for cloud management, and microservices . Best Paper Awards at SOSE 2013 and ISORC 2012 Principal Investigator for grants totaling over $5.8M , including projects like Adaptive Monitoring of Streaming Data and Energy-Aware Cloud-Edge Management
Michael McLachlan is a Professor at the Department of Environmental Science, Stockholm University, with over 30 years of expertise in environmental contaminant dynamics. His research focuses on understanding the relationship between chemical emissions and human/wildlife exposure through processes like phase partitioning, intercompartmental transport, and bioaccumulation. Develops novel analytical methods for environmental monitoring Conducts laboratory and field studies on contaminant behavior Leads mathematical modeling of chemical fate Pioneering work on chemical persistence assessment Recent publications demonstrate his leadership in improving OECD testing protocols, establishing environmental persistence metrics, and elucidating surfactant bioaccumulation mechanisms. His work provides critical insights for regulatory frameworks like the Stockholm Convention. Teaching responsibilities include program leadership for the Miljö- och hälsoskydd masters program and courses on contaminant degradation. Active projects focus on optimizing persistence testing and enhancing environmental relevance in biotransformation assessments.
Jonas Spenger is a Researcher at the Division of Theoretical Computer Science within the School of Electrical Engineering and Computer Science (EECS) at KTH Royal Institute of Technology . Education : BSc and MSc in Computer Science from Humboldt-Universität zu Berlin . Experience : Previously worked at RISE Research Institutes of Sweden and as a research assistant at HU Berlin , Charité Berlin , and Zuse Institute Berlin . His research interests span distributed systems , programming languages , cryptography , and serverless computing . He leads the Portals project, focusing on stateful serverless systems and secure computation. His recent work includes studies on Byzantine Fault Tolerant (BFT) consensus, verifiable BFT, and the application of blockchain in tamper-proof protocols. Jonas’s publications (2020–2024) address topics such as stateful serverless computing , dataflow systems , and secure multi-party computation (MPC) . He also organizes a Zoom MPC Study Group , documenting discussions on protocols like BGW, GMW Compiler, and Beaver Triples. Contact him via jspenger@kth.se or explore his work on GitHub and LinkedIn .
Suraj Singh is a Postdoctoral Researcher at Stockholm University 's Department of Meteorology , focusing on ocean-atmosphere interactions in polar regions. His work examines the role of North Atlantic and Arctic Ocean dynamics in global climate systems. Research Focus: Gulf Stream and North Atlantic Current systems, deep water formation processes, and Atlantic water inflow to the Arctic Affiliation: Meteorologiska institutionen (MISU), Stockholm University Email: suraj.singh@misu.su.se
Praveen Kumar Donta is an Associate Professor (Docent) and Senior Lecturer at the Department of Computer and Systems Sciences, Stockholm University, Sweden. His research focuses on distributed computing continuum systems, learning-driven approaches for IoT and edge computing, and intelligent data protocols. He leads the Distributed Immersive Participation research group which investigates how humans and things can be more connected and exchange information in real and virtual societies. Education: Ph.D. in Computer Science & Engineering from Indian Institute of Technology (Indian School of Mines), Dhanbad (2021) Visiting Ph.D. Fellow at Mobile&Cloud Lab, University of Tartu, Estonia (2019-2020) Master in Technology from JNTUA, Ananthapur (2014) Bachelor in Technology from JNTUA, Ananthapur (2012) Dr. Donta's research centers on distributed computing continuum systems that integrate cloud, edge, and IoT devices to deliver scalable and low-latency computing resources. His work explores learning techniques in IoT, AI/ML for computing systems, cognition and causality in computing systems, and cyber-physical continuum applications. He investigates how human body analogies can inform the design of more resilient and efficient distributed systems, as well as developing frameworks for privacy enforcement, equilibrium in computing continuum systems, and energy-efficient user interactions with smart environments. His research has significant applications in smart city management, satellite services, and intelligent transportation systems. Dr. Donta's publication record demonstrates a strong focus on the intersection of distributed systems, machine learning, and privacy-preserving technologies. His recent work shows an increasing emphasis on human-inspired approaches to distributed computing, with particular attention to making these systems more interpretable, efficient, and adaptable. His research spans theoretical foundations of computing continuum systems to practical implementations in areas like satellite services, smart environments, and anomaly detection. Scientific Awards and Recognition: IEEE Senior Member ACM Professional Member Dr. Donta serves as an editorial board member for several prestigious journals including IEEE Internet of Things Journal, Computing (Springer), Transactions on Emerging Telecommunications Technologies (Wiley), Measurement, and Computer Communications (Elsevier). He actively mentors the next generation of researchers, currently supervising PhD student Alfreds Lapkovskis and co-supervising Shubham Vaishnav. His research is supported by projects such as the Heterogeneous Computing Continuum for a Sustainable Smart City Management (HCSCM), which aims to develop scalable, secure solutions for urban environments by integrating IoT, edge, and cloud computing. As part of the Distributed Immersive Participation research group, Dr. Donta collaborates with researchers across disciplines to explore how technological advances enable humans and things to be more connected. The group focuses on application areas such as culture, transport, intelligent vehicles and e-health, developing solutions that enhance participation in both real and virtual societies.
Håkan Grahn is a Professor of Computer Engineering at the Department of Computer Science, School of Computing, Blekinge Institute of Technology (BTH) in Sweden. He has been a faculty member since 1996, becoming a full professor in 2007. His academic leadership includes serving as Head of Department (1999-2002) and Dean of Research (2011-2013) at BTH. He leads multiple significant research projects including GPAI (General Purpose AI Computing) and Green Clouds, with funding from ELLIIT, the Knowledge Foundation, and Vinnova. His educational background includes: M.Sc. in Computer Science and Engineering (1990) from Lund University Ph.D. in Computer Engineering (1995) from Lund University Håkan's research spans several interconnected domains in computer science and engineering, with a strong emphasis on practical applications. His work in computer architecture focuses on optimizing system performance through innovative cache coherence protocols and memory management techniques. In the realm of parallel computing , he investigates multicore systems, GPU computing, and thread-level speculation to enhance computational efficiency. His research in AI and machine learning addresses energy efficiency, data stream mining, and practical applications in areas like district heating systems and airborne networks. The integration of image processing with machine learning forms another significant strand of his work, particularly in historical document analysis and medical imaging applications. These research areas converge in his leadership of major initiatives like BigData@BTH and GPAI, where he bridges theoretical advances with real-world implementation challenges. Analysis of Håkan's recent publications reveals a clear trajectory toward increasingly applied research with strong industry connections. While maintaining foundational work in computer architecture, his output increasingly focuses on practical AI applications, energy efficiency in computing, and domain-specific implementations in sectors like telecommunications, energy systems, and defense. The interdisciplinary nature of his work is evident in collaborations spanning computer science, engineering, and domain-specific applications, with a growing emphasis on sustainability and resource optimization in computing systems. Håkan has successfully supervised numerous doctoral students, with ten graduates and six current Ph.D. candidates. His research has been supported by substantial funding from: The Knowledge Foundation (BigData@BTH, HINTS, Green Clouds) ELLIIT (GPAI project) Vinnova (FANET-MCA, Directed COM & EW) Industry partners including Ericsson, Saab, Telenor, and Fortnox He is actively involved in multiple research groups including DISL (Distributed and Intelligent Systems Lab), CCS-Lab (Communication and Computer Systems Research Lab), and previously PAARTS (Parallel Architectures and Applications for Real-Time Systems). His leadership extends to organizing academic events like the Nordic workshop on Multi-Core Computing and the Swedish Artificial Intelligence Society workshop.
