Mikael Johansson is a Professor at Kungliga Tekniska Högskolan (KTH), specializing in Control Technology . He teaches and coordinates courses such as Distributed Optimization (FEL3311) and various advanced-level degree projects in computer science, electrical engineering, and systems engineering. His research spans Control Systems , Machine Learning , and Optimization , with a focus on asynchronous algorithms, federated learning, and applications in energy systems and construction. His work includes 15 recent publications on topics like neural networks, distributed optimization, and battery technology. Notable areas of contribution are in asynchronous learning, federated learning with privacy constraints, and quasi-Newton methods for optimization. His research bridges theoretical advancements with practical applications in urban design, healthcare, and autonomous systems.
David Bastviken is a Professor at the Environmental Change Theme (TEMAM), Linköping University , specializing in environmental science and biogeochemical cycles. His research focuses on greenhouse gas emissions, particularly methane and carbon dioxide, from freshwater systems and human activities, with implications for climate policy and pollution management. Research Pillars : Aquatic greenhouse gas dynamics, chlorine cycling in soils, drinking water disinfection by-products, landscape-scale carbon budgets Methodologies : Drone-based sensing, hyperspectral imaging, sensor networks, cross-disciplinary ecosystem experiments Notable findings include the discovery of underestimated methane emissions from lakes and rivers, the role of trees in methane uptake , and natural chlorine production in boreal forests. His work has been funded by ERC , Formas , VINNOVA , and The Swedish Research Council . Recent publications highlight climate sensitivity of methane emissions, day-night emission patterns , and global methane budget modeling. He leads international collaborations across Amazonas , Arctic , and Boreal regions.
Andreas Abel is a Senior Lecturer in the Division of Computing Science at the Department of Computer Science and Engineering, Chalmers University of Technology and the University of Gothenburg. He has previously served as an Assistant Professor at Ludwig-Maximilians-Universität (LMU) Munich and has been a visiting researcher at INRIA in Paris. His primary affiliations are with Chalmers and the University of Gothenburg, where he conducts research and teaches in programming languages and type theory. Chalmers University of Technology, Department of Computer Science and Engineering, Senior Lecturer University of Gothenburg, Division of Computing Science LMU Munich, Assistant Professor (former) INRIA Paris, Visiting Researcher Abel’s research lies at the intersection of type theory, functional programming, and formal verification. He is particularly known for his work on dependent types, normalization by evaluation, and the development of the Agda proof assistant. His interests include constructive logic, logical frameworks, modal and linear typing, program verification, and compiler construction. He leads the Modal Dependent Type Theory project funded by the Swedish Research Council (Vetenskapsrådet) and has contributed to several other major research initiatives in programming language theory. His recent publications reflect a strong focus on foundational aspects of type systems, including cubical type theory, decidability of conversion, and formalization of algebraic completeness. These works appear in top-tier venues such as ICFP, LICS, POPL, and TYPES, showcasing both theoretical depth and practical implementation in Agda. Distinguished Paper Award, ICFP 2019 Editor, Theoretical Pearls column, Journal of Functional Programming Member, IFIP WG 1.3 on Foundations of System Specification Abel actively supervises students and contributes to the research community through program committee memberships for major conferences including LICS, ICFP, and CPP. He is a senior developer of Agda and the maintainer of the BNFC (Backus-Naur Form Compiler) tool. His work bridges theoretical computer science with practical software development for formal methods. He is involved in several research groups and projects, including the Programming Logic Group at Chalmers and the international EUTYPES network. His role as principal investigator and core contributor in multiple funded projects highlights his leadership in the field of programming language foundations.
Santa Slokenberga, LL.D., serves as an Associate Professor in Medical Law and Senior Lecturer in Administrative Law at Uppsala University's Department of Law within the Faculty of Law. She maintains an active research profile focusing on the intersection of law, medicine, and technology, with particular expertise in biobanking, genetic privacy, and healthcare data governance. Her research interests span several critical areas in contemporary medical law, including the human genome and biobanking, AI applications in healthcare, privacy and personal data protection frameworks, quality of pediatric healthcare, and governance of rare diseases. Slokenberga's work demonstrates a strong focus on European regulatory frameworks and their implementation across different jurisdictions, particularly examining how GDPR interacts with medical research and biobanking practices. Analysis of her recent publications reveals a clear trajectory toward increasingly complex issues at the intersection of law, technology, and healthcare. Her scholarship consistently addresses regulatory challenges in genomic data sharing, European health data spaces, and the ethical implications of emerging technologies in medicine. Notably, she has contributed significantly to understanding how European data protection law applies to medical research contexts. Slokenberga holds leadership positions as a board member of EAHL and the Nordic Permed Law, reflecting her recognized expertise in health policy at both national and international levels. Her collaborative research projects often involve multinational teams, demonstrating her engagement with global health law challenges. Her academic supervision and teaching activities focus on preparing future legal professionals to navigate the complex landscape of medical law, administrative law, and data protection regulations as they apply to healthcare systems and biomedical research.
Miroslaw Staron is a Professor of Interaction Design and Software Engineering at Chalmers University of Technology. He maintains a unique 50/50 work arrangement, spending half his time on field research at Ericsson while holding his academic position. His research bridges academic theory with industrial practice through collaborations with major companies including Volvo Car Corporation and Volvo Information Technology. His research spans several key areas in software engineering: Software metrics and measurement systems in industry Model driven software development and empirical studies Defect prediction in software projects Requirements engineering in model-based development Applications of AI and machine learning in software engineering Automotive software development and security Staron's recent work demonstrates a strategic shift toward integrating AI technologies into software engineering processes, with particular focus on automotive applications. His publications from 2024-2025 reveal expertise in generative AI applications for code review automation, testing methodologies, and requirements engineering, showing how these technologies can transform traditional software development practices while addressing domain-specific challenges in automotive systems. Current research projects include: Kvantdatorer för framtidens mobilitetslösningar (2025-2027) Automatiserad och designoptimerad programvarukonstruktion/kodgenerering (2025-2029) Förvandla fordonsarkitektur med hjälp från AI (2021-2023) Arkitektonisk design och verifiering/validering av system med maskininlärning komponenter (2020-2024) With 78 publications documented in Chalmers' research database, Staron has established himself as a significant contributor to evidence-based software engineering research with strong industrial relevance.
Nikolce Murgovski is an Assistant Professor at Chalmers University of Technology, specializing in Mechatronics . He focuses on electric and hybrid vehicle energy management , autonomous driving systems , and optimization algorithms for powertrain design. His work bridges control theory , battery technology , and transport electrification . Current projects include CHARGE (2023–2026) for charging and trip planning , and EcoPilot (2022–2026) for energy-efficient autopilot development. Collaborates with institutions like Volvo Cars , Swedish Electromobility Centre , and VINNOVA on autonomous vehicle control and thermal energy systems . His recent publications emphasize convex optimization , eco-driving strategies , and collision avoidance in complex environments. He has contributed to tools like CONES for electromobility studies and has led research on hybrid powertrains and predictive energy management .
Andreas Duit is a Professor of Political Science at Stockholm University and also serves as a Guest Professor at the Political Science Unit, Luleå University of Technology. His academic work focuses on comparative environmental politics with special emphasis on the role of the state in addressing environmental challenges. Department of Political Science, Stockholm University Guest Professor, Political Science Unit, Luleå University of Technology Former visiting scholar at the Workshop in Political Theory and Policy Analysis at Indiana University, Bloomington Former visiting scholar at the Department of Political Science, University of Washington Professor Duit's research centers on comparative environmental politics, particularly examining how states address environmental challenges. His work employs quantitative methods and cross-national panel data analysis, with additional engagement in complex system analysis and survey research. His primary research interests include climate policy, environmental governance, sustainability transitions, and the relationship between welfare states and environmental policy. Analysis of Professor Duit's recent publications reveals a strong focus on climate governance mechanisms, environmental state development, and the interplay between political institutions and environmental outcomes. His research spans multiple analytical levels from international climate agreements to domestic policy implementation, with particular attention to how different governance structures affect environmental performance across countries. GREENTRANS: The Great Green Transformation – Politics, Markets and Civil Society in the Anthropocene (funded by Marcus and Marianne Wallenberg Foundation) THERAPY: The Electoral Ramifications of Environmental Policy (funded by FORMAS) GLEAN: A Global Survey of Learning, Participation and Ecosystem Management in Biosphere Reserves GRACE: Governing the Anthropocene – Environmental Policy and Outcomes in a Comparative Perspective Professor Duit has secured significant research funding from major Swedish research organizations including FORMAS, MISTRA, the Swedish Research Council, and the Marcus and Marianne Wallenberg Foundation. His research portfolio demonstrates a consistent focus on understanding the political dimensions of environmental challenges and identifying effective governance approaches for sustainability transitions.
Annika Alexius is a Professor at the Department of Economics at Stockholm University, where she has been working since 2008. Prior to this, she held a research position at Uppsala University and completed her PhD at the Stockholm School of Economics in 1997, having done her internship at the Riksbank during her doctoral studies until 2001. Dr. Alexius earned her PhD from the Stockholm School of Economics in 1997. Her doctoral work included an internship at the Riksbank, Sweden's central bank, which she continued until 2001. She then held a research position at Uppsala University before joining Stockholm University in 2008. Professor Alexius specializes in empirical macroeconomics, monetary policy, and international finance. Her research examines the complex relationships between exchange rates and inflation, the dynamics of stock prices relative to GDP, and the mechanisms of monetary policy transmission. She employs sophisticated econometric techniques, including Bayesian VAR models with time-varying parameters and stochastic volatility, to analyze economic phenomena. Her work often focuses on how financial markets respond to economic shocks and policy interventions, with particular attention to the Swedish economy and its integration into the global financial system. Analysis of Professor Alexius's publication record reveals a consistent focus on the intersection of monetary policy and international finance. Her recent work (2023) examines exchange rate pass-through during periods of high inflation following the Covid-19 pandemic and Ukraine war, using advanced Bayesian VAR techniques. Earlier publications explore long-run relationships between stock prices and GDP (2018), interbank market dynamics during the financial crisis (2014), and the relationship between exchange rates and long-term bonds (2012). A recurring theme throughout her career has been understanding how policy decisions affect economic outcomes in open economies. Professor Alexius has made significant contributions to the field of economics through her rigorous empirical work. While specific awards are not listed on her profile, her publications in reputable journals such as the Review of World Economics, Journal of Applied Finance and Banking, and Journal of International Money and Finance demonstrate recognition of her scholarly contributions. Though specific information about her advising activities is not provided on her profile, Professor Alexius has maintained an active research program spanning over two decades. Her work has addressed evolving economic challenges, from the financial crisis of the late 2000s to the recent inflationary period following the pandemic. Her research has practical implications for central banks and policymakers navigating complex economic environments. While specific laboratory or research team information is not mentioned in the available profile, Professor Alexius appears to collaborate with various researchers across her publication history, including Mikaela Holmberg, Daniel Spång, Helene Birenstam, and Johanna Eklund, among others. Her work bridges theoretical economic models with empirical analysis of real-world data, contributing to both academic discourse and practical policy understanding.
Anders Söderholm serves as the Vice-Chancellor (Rektor) of KTH Royal Institute of Technology, Sweden's leading technical university. His leadership spans academic, research, and strategic domains with a strong focus on positioning KTH as a key player in addressing global challenges through technology and innovation. Recent initiatives highlight his emphasis on AI ethics, quantum technology development, and sustainability research. Söderholm's research interests center on academic leadership, organizational theory, and project management, with particular focus on temporary organizations and the 'projectified society.' His work bridges theoretical frameworks with practical applications in higher education governance and research policy. He has significantly contributed to the Scandinavian school of project management research, exploring how organizations navigate complexity through temporary structures. Analysis of his recent publications reveals a clear trajectory from theoretical explorations of project management toward practical applications in higher education leadership. His scholarship demonstrates increasing engagement with the challenges of university governance in an era of rapid technological change, particularly around AI implementation and international research collaboration. The interdisciplinary nature of his work connects organizational theory with practical leadership challenges in academic settings. Söderholm actively engages in national policy discussions, having contributed to debates about university associations, research funding models, and international collaborations, particularly regarding China. His leadership extends to fostering partnerships with industry and other academic institutions, as evidenced by initiatives with Chalmers University of Technology. As Vice-Chancellor, Söderholm oversees KTH's strategic direction, which includes significant investments in research infrastructure, educational innovation, and international collaboration. His leadership approach emphasizes the university's role in societal development, technological advancement, and democratic values, while navigating the complex landscape of research funding and academic autonomy.
Saleh Javadi is a Senior Lecturer at the Department of Mathematics and Natural Sciences at Blekinge Institute of Technology (BTH) in Karlskrona, Sweden. He is actively engaged in research and teaching within the field of systems engineering. His educational background includes: B.Sc. in Electrical-Control Engineering from Amirkabir University of Technology (2009) M.Sc. in Electrical, Electronic and Systems Engineering from The National University of Malaysia (2013) Ph.D. in Systems Engineering from Blekinge Institute of Technology (BTH) (2021) Saleh Javadi's research focuses on signal processing, machine learning, and computer vision , with applications spanning remote sensing, intelligent transportation systems, and AI-driven industrial optimization. His work bridges theoretical advancements with practical implementations, particularly in SAR imagery analysis, drone-based agricultural monitoring, and traffic surveillance systems. His recent publications demonstrate a strong focus on remote sensing technologies, particularly Synthetic Aperture Radar (SAR) image processing and analysis. There's a clear trend toward applying machine learning techniques to solve complex problems in aerial and satellite imagery, traffic monitoring, and agricultural applications. His research shows interdisciplinary connections between computer vision, signal processing, and practical engineering applications. Saleh Javadi has received significant recognition for his innovative work: Innovator of the Year award (SKAPA – Innovation Prize in Memory of Alfred Nobel) in Blekinge for innovative efforts in optimizing and reducing energy consumption in industries by using artificial intelligence ÅForsk Entrepreneur's prize at the Swedish Innovation Council Day – Swedish Incubators & Science Park's annual conference in May 2019 Dr. Javadi is involved in practical applications of his research through projects such as "Artificiell intelligens AI kan reducera ogräsfrön i utsäde" (ongoing) and "Bekämpa Renkavle med hjälp av drönare och Artificiell Intelligens (AI)" (completed). His work demonstrates a strong commitment to translating academic research into real-world solutions that address industrial and environmental challenges. His research appears to be conducted within a collaborative framework, working with colleagues on drone technology, SAR image analysis, and AI applications across multiple domains including agriculture, maritime monitoring, and transportation systems.
Dirk Repsilber is a Professor of Medical Science at Örebro University, specializing in functional bioinformatics. He leads research on molecular patterns in patients to improve diagnosis and treatment. Born in Lübeck, Germany, he earned his PhD in ecological genetics from the University of Hamburg and held postdoctoral roles at institutions across Sweden and Germany. His work integrates bioinformatics, biostatistics, and clinical collaboration to address complex biological systems. Education: PhD in Ecological Genetics (University of Hamburg, 1999), postdoctoral training at Uppsala University and SLU, followed by roles at German institutions including Lübeck, Potsdam, Rostock, and Örebro. Research Interests: Molecular networks, biosignature development, systems biology approaches to genotype-phenotype mapping, and interdisciplinary collaborations in medicine, statistics, and computer science. Key Projects: BIO IBD (biomarker discovery in inflammatory bowel disease), Cell Painting for toxicity assessment, and systems-level immunomonitoring in pediatric oncology. Active in cross-disciplinary teams like the Center for Life Sciences Nutrition-Gut-Brain Interactions. Teaching & Supervision: Cross-disciplinary courses in bioinformatics, statistical counseling, and supervision of PhD students in diverse fields. Emphasizes problem-based learning and communication skills across disciplines.
Jelena Zdravkovic is a Professor and Head of the Department of Computer and Systems Sciences (DSV) at Stockholm University. She leads the PRECIS research group which focuses on Process, Requirements, Enterprise, Capability, and Information Systems modelling. Her work spans theoretical and practical aspects of enterprise and IT solutions with a particular emphasis on digital transformation. Professor Zdravkovic's research interests center around Digital Business Ecosystems , Digital Twins , and Data-driven Requirements Engineering . Her work in Enterprise Modeling explores capability-oriented and consumer-oriented approaches to requirements engineering. She investigates how digital transformation and big data can be leveraged to improve requirements elicitation processes, and how organizations can model and manage complex digital business ecosystems. Her research has significant implications for how businesses can adapt to rapidly changing technological environments while maintaining resilience and competitiveness. Her recent publications reveal a clear trajectory toward integrating artificial intelligence with digital modeling techniques, particularly in the context of smart buildings and business ecosystems. There's a consistent focus on how data-driven approaches can transform traditional requirements engineering practices, making them more responsive to the velocity and variety of digital data sources. Her work bridges theoretical modeling with practical applications across various industries including healthcare, energy, and transportation. Professor Zdravkovic has been actively involved in mentoring PhD students, including supervising research on the Management Framework of Resilient Digital Business Ecosystems. She has participated in numerous national and international projects focused on interoperability and model-driven engineering, securing research funding for innovative work at the intersection of business and technology. She leads the PRECIS research group which deals with theories, methods and tools for analysis and design of organizational and IT solutions in congruence. The group's research covers three key topics – Enterprise Modelling, Business Process Management, and Conceptual Modelling. Their work brings together academic rigor with practical applications to solve real-world business challenges through innovative information systems approaches.
Franziska Klügl is a Professor in Computer Science at Örebro University's Faculty of Business, Science and Engineering, affiliated with the Center for Applied Autonomous Sensor Systems (AASS). She currently leads the KKS-funded TeamRob project on Human-Robot Teamwork and serves as Deputy Dean of the faculty since January 2023, chairing the academic appointment committee. Previously, she headed the Computer Science department (2020-2022) and served on the faculty board (2019-2022). Her research focuses on: Multi-agent systems : Development of languages, processes, and tools for agent-based simulation Interdisciplinary applications : Transportation, economics, epidemics, production, and mining simulations Simulation engineering : Integrating AI, machine learning, and formal methods to create accessible modeling tools for domain experts She created SeSAm , a visual programming tool for agent-based simulation that enables rapid prototyping of complex models. Analysis of her recent publications reveals three dominant themes: Human-robot collaboration frameworks and intention recognition systems Economic impacts of automation on labor markets and engineering services Advanced simulation methodologies using affordance theory and reinforcement learning She teaches software engineering, multi-agent systems, and agent-based modeling across multiple programs, including the WASP AI&ML PhD course. She leads research groups at the Machine Perception and Interaction Lab and oversees the TeamRob human-robot teamwork project.
Jens Carlsson is a Professor at Uppsala University, affiliated with the Department of Cell and Molecular Biology and the Science for Life Laboratory (SciLifeLab) . His research focuses on computational biochemistry , particularly G protein-coupled receptors (GPCRs) , using physics-based modeling to advance structure-based drug design . Academic rank: Full Professor (since 2022) Key methodologies: Molecular dynamics simulations, docking, free energy calculations Research themes: GPCR ligand interactions, virtual chemical space screening, allosteric modulators Recent work (2025) highlights AI-driven discovery of brain disease therapeutics and DNA repair inhibitors , while 2024 projects explore AlphaFold applications in TAAR1 agonist design . His group has received Swedish Research Council grants (3.6M SEK, 6M SEK) and industry collaborations . Scientific awards include the Göran Gustafsson Prize (2016), Excellence Prize in Molecular Design (2022), and Ingvar Carlsson Award (2012). Key students include PhD candidates Mariama Jaiteh and Pierre Matricon , with postdocs like Nicolas Panel and Duy Duc Vo .
Henrik Nilsson is a Senior Lecturer at the Department of Education at Linnaeus University, Sweden. His work focuses on multicultural education contexts, school leadership, and organizational challenges in socially diverse educational settings. He holds a PhD in Education and actively collaborates with municipalities and the Swedish National Agency for Education on policy implementation. Research Groups: Center for Cultural Sociology, Center for Educational Leadership Key Projects: Seed project on addressing racism in teacher education programs His research investigates how schools navigate ethnic and social diversity, focusing on leadership practices, school improvement processes, and intercultural competence development in teacher training. He has published extensively on topics like immigrant incorporation,pedagogy in multicultural schools, and educational governance structures.
