Malin Broberg is a Professor in Psychology and the current Vice-Chancellor (since 2023) and President of the University of Gothenburg. She was previously Dean of the Faculty of Social Sciences at the same institution. Educated at Umeå University, she is a licensed psychologist with a clinical background in child and youth habilitation. Her research focuses on: Welfare systems for families with disabled children Stress coping mechanisms Neurodevelopmental impacts of brain damage in children Augmentative and Alternative Communication (AAC) Parental well-being and resilience Recent publications (2024-2023) highlight her work in neuropsychology, health-promoting learning environments, and AAC interventions for children with profound disabilities. She has collaborated with researchers in Sweden and the USA, and her work appears in journals like Child Neuropsychology and Disability and Rehabilitation-Assistive Technology . Malin Broberg has supervised doctoral and Master’s theses in developmental psychology and disability research. She has also served as General Secretary of the International Association for the Scientific Study of Intellectual and Developmental Disabilities (IASSIDD).
Susan Sayehli is an Associate Professor at the Department of Swedish Language and Multilingualism , Stockholm University. She specializes in psycholinguistics and second language acquisition, with a focus on crosslinguistic influence and morphosyntactic processing. Research Interests: Neurocognitive aspects of language learning Focus intonation development in Swedish children Policy impact on SFL (Spanish/French/German) education ERP and eye-tracking methodologies for language processing Urban-rural educational disparities in language programs Current Projects: TAL – Alignment study on oral proficiency in Swedish schools Att lära sig fokusera – Intonation perception in Stockholm/Skåne children Prior Projects: SWOP2 – Swedish word order processing in L2 learners PSUII – Precursors of sign use in intersubjectivity
Anja Kraus is a Professor in Arts and Culture Education at Stockholm University, Department of Teaching and Learning. She has held academic positions at the University of Education Ludwigsburg (2003-2013), Linnaeus University Växjö (2013-2019), and joined Stockholm University in 2018. Her academic journey began with studies in Philosophy and Educational Sciences at Free University Berlin and Arts Education at the University of the Arts Berlin, Germany. Her research focuses on Pedagogical Anthropology, with special emphasis on tacit knowledge, corporeality, aesthetic education, and multimodal learning. She has developed systematic approaches to understanding tacit knowing in educational contexts, particularly examining how corporeality, aesthetic learning, and inclusivity function in schools. Her work bridges phenomenological, ethnographical, and body-phenomenological approaches with practical educational applications. She has made significant contributions to understanding how materiality, performativity, and imaginaries shape educational practices. Her recent publications reveal strong trends in embodiment studies, with particular attention to kinesthetic learning, spatial pedagogy, and the relationship between aesthetics and sustainability. Her work increasingly explores educational practices within the Anthropocene context, examining how arts education can address environmental concerns through embodied approaches. The recurring theme across her publications is the exploration of how tacit knowledge manifests in educational settings and how this understanding can transform teaching practices. As head convenor of the international scientific network 'Tacit Dimensions of Pedagogy,' she has organized numerous workshops and conferences addressing pedagogical terminologies across languages. Her collaborative projects span Scandinavia, Europe, Asia, and North and South America, demonstrating her commitment to transcultural approaches in educational research. Her teaching spans multiple languages (German, English, Swedish, Spanish) and covers diverse areas including Classroom Education, Cultural and Media Education, Sciences of Bildung, Elementary Education, and Vocational Training. Her pedagogical approach emphasizes practice-oriented competence, inclusive school development, and aesthetic learning environments with a comparative perspective.
Mads Dam is a Professor in Teleinformatics at the School of Computer Science and Communication at Kungliga Tekniska Högskolan (KTH), where he heads the Department of Theoretical Computer Science. His research focuses on computer security, formal methods, and program logics, with particular emphasis on the formal modeling and verification of low-level hardware and software execution platforms for security and application isolation. His educational background includes: PhD in Computer Science from the University of Edinburgh (1990) MSc in Computer Engineering from Aalborg University, Denmark BSc in Information Technology from Aalborg University, Denmark Mads Dam's research interests center on computer security, formal methods, and program logics. His current work focuses on the formal modeling and verification of low-level hardware and software execution platforms such as hypervisors and OS kernels and their underlying hardware. He has made significant contributions to information flow security, verification of microarchitectural systems, and network programming language security. His research bridges theoretical foundations with practical security applications. His recent publications show a strong trend toward verifying low-level systems, with a focus on information flow security for processors, network programming languages (particularly P4), and microarchitectural vulnerabilities. His work combines formal methods with practical security concerns, developing verification techniques that address real-world security challenges in hardware and software systems. The research spans theoretical foundations in temporal and epistemic logics to practical applications in network security and processor verification. His scientific awards and recognition include: Two framework grants from the Swedish Foundation for Strategic Research A junior individual grant from the Swedish Foundation for Strategic Research Project grants and a five-year research fellowship from the Swedish Research Council (VR) Project grants from Ericsson, Microsoft Research, US Air Force, and Vinnova (the Swedish Innovation Agency) Mads Dam has been a principal investigator on numerous research projects and has supervised many graduate students. He has been a partner in several European projects including HATS, S3MS, VerifiCard, LOMAPS, and UaESMC. His research has been supported by substantial grants from major funding bodies, reflecting the significance and impact of his work in computer security and formal methods. He is a founding member of several research centers at KTH, including Access, the CASTOR software research center, and the CDIS center for cyber defense and information security. These centers bring together researchers from multiple disciplines to address complex challenges in cybersecurity and software engineering.
Christian Smith is an Associate Professor and Lecturer at the Department of Robotics, Perception and Learning at Kungliga Tekniska Högskolan (KTH Royal Institute of Technology). His research focuses on robotics and applications in human-centered environments like home environments, small workshops, and healthcare facilities, including the development of new robotic systems for research. Teaching Roles: Course Coordinator/Teacher/Examiner for courses such as Introduction to Robotics (DD2410), Research Project in Robotics (DD2411), and Java Programming for Python Programmers (DD1380) Research Themes: Human-Robot Interaction, Behavior Trees, Exoskeletons, Intent Recognition, and Multimodal Perception Awards: No specific scientific awards mentioned in the provided text His KTH profile highlights work on adaptive robotics systems and formalized control strategies. The research portfolio spans from theoretical studies on behavior tree programming to applied work in assistive technologies and teleoperation systems.
Lucas Gottzén is a Professor at the Department of Child and Youth Studies, Stockholm University. His research focuses on masculinity, youth studies, affect theory, and extremism, with a particular interest in how these intersect with violence and gender dynamics. He has contributed to understanding radicalization pathways in online spaces, the role of masculinity in intimate partner violence, and the cultural politics of fatherhood in Swedish society. Research interests include ecofascist visual communication, vulnerability and identity politics in digital subcultures, and the sociological analysis of pornography debates. His work often bridges theory and practice, addressing issues of gender equality and violence prevention through innovative methodological approaches. Key publications examine themes such as the 'red pill' phenomenon, affective dimensions of masculinity, and the paradoxes of Sweden's gender-equality reputation alongside high rates of sexual violence. He has collaborated on evaluations of violence prevention programs and authored critical analyses of media representations of fatherhood and youth.
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.
Marcia Håkansson Lindqvist is a researcher at Mid Sweden University's Department of Education (UTV), with expertise in digitalization in education, teacher shortage, and school leadership. She contributes to projects like European Education Policy Network and HIMUV (Sustainability in Mid Sweden University Everyday Life) , focusing on organizational development and lifelong learning. Her research spans Technology-enhanced learning environments Professional development frameworks Artificial intelligence applications in education Comparative studies on teacher shortages in Nordic countries She has published extensively in journals like Journal of Educational Administration and British Journal of Educational Technology . Recent work explores AI integration in school leadership, hybrid work-integrated learning models, and cross-sector collaboration for special needs education. She collaborates with researchers across Scandinavia and contributes to edited volumes on leadership identity and digital competence.
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.
Simo Vehmas is Professor of Special Education at Stockholm University's Department of Special Education. He is currently on research leave for the academic year 2024-2025 at the Paris Institute for Advanced Study, with plans to resume departmental activities from July 2025. His academic work spans theoretical and empirical approaches to disability studies, with particular focus on profound intellectual and multiple disabilities. Professor Vehmas's research interests center on theoretical and ethical issues related to disability, examining the ontological formation as well as the moral and political significance of disability. His work bridges philosophical inquiry with practical educational concerns, particularly regarding persons with profound intellectual and multiple disabilities. Recent publications demonstrate his commitment to exploring the intersection of language, identity, and rights within disability contexts. His scholarship engages deeply with questions of personhood, moral status, and the social construction of disability, while also addressing practical implications for education and policy. Analysis of Vehmas's recent publications reveals a consistent thematic trajectory exploring the philosophical foundations of disability while increasingly incorporating empirical research methods. His work spans multiple disciplines including philosophy, ethics, linguistics, education, and social policy, with particular attention to Swedish disability contexts. The publications demonstrate growing engagement with interdisciplinary approaches to disability studies, moving from purely theoretical frameworks toward more applied research on music therapy, educational interventions, and everyday experiences of people with profound intellectual disabilities. Vehmas has made significant contributions through book publications including 'Narrowed Lives: Meaning, Moral Value, and Profound Intellectual Disability' (2021), 'Vaikeasti kehitysvammaisten arki ja ihmisyys' (2022), and co-editing the 'Routledge Handbook of Disability Studies: Second Edition' (2020). His scholarly output reflects deep engagement with both international disability scholarship and specifically Nordic approaches to disability. While specific grant information is not provided in the available materials, Professor Vehmas's research leave at the Paris Institute for Advanced Study indicates active engagement with international research networks. His collaborative work with researchers like Riitta Mietola suggests participation in research teams focused on profound intellectual disabilities. His publications suggest ongoing work in developing pedagogical interventions and theoretical frameworks for understanding disability experiences.
Dr. Frank Thomas Grub is Professor of German and Head of the Department of Modern Languages at Uppsala University. Educated at Universität des Saarlandes (Dr. phil. 2003) and promoted to Associate Professor at Gothenburg University (2012) before joining Uppsala as Professor (2018), he has been recognized as Excellent Teacher (2021). As founder of the Landeskunde Nord network since 2012 and editor of the Peter Lang book series since 2013, his career bridges academic research, educational innovation, and international collaboration. His research focuses on contemporary German-language literature , GDR cultural studies , and transcultural didactics . Key projects explore autobiographical writing, post-Wall literary representations, and the intersection of travel literature with cultural memory. Recent publications (2024-2025) examine media narratives of reunification and cultural stereotypes in language pedagogy. Prof. Grub contributes to German as a foreign language curriculum development Intercultural competence frameworks Editorial leadership in Northern European Germanistics His 2023-2025 works analyze graphic novels in education, migration discourse in literature, and media transitions during the Cold War.
Mattias Brunström serves as Assistant Professor of Cardiology and Associate Professor of Epidemiology at Umeå University's Faculty of Medicine within the Department of Public Health and Clinical Medicine, Section of Cardiology. He is concurrently a resident physician at Norrlands University Hospital and holds leadership roles as chairman of Sweden's national hypertension working group and scientific secretary of the Swedish Society for Hypertension, Stroke and Vascular Medicine, with active participation in the European and International Societies of Hypertension. His academic foundation includes a 2018 PhD thesis examining blood pressure-lowering treatment effects across different blood pressure levels through systematic reviews and meta-analyses of randomized clinical trials. This doctoral work established his expertise in evidence-based cardiovascular therapeutics and epidemiological methodology. Dr. Brunström's research program centers on cardiovascular disease risk factors, with specialized focus on hypertension pathophysiology and aortic diseases. His group investigates how adolescent blood pressure levels predict future cardiovascular events, examining interactions with obesity, physical fitness, and diabetes to improve risk stratification. They also analyze differential effects of antihypertensive drug classes on cardiovascular outcomes and study risk factors for aortic dissection/rupture to optimize preventive surgical interventions. This work addresses critical gaps in managing the world's leading cause of death, where uncontrolled hypertension contributes to 10 million annual fatalities despite effective treatments. Analysis of his 2024-2025 publications reveals dominant themes in hypertension guideline development, treatment threshold controversies, and cardiovascular risk assessment. His work frequently challenges conventional approaches (e.g., questioning excessive treatment of 'elevated' blood pressure in elderly patients) while advancing evidence for lifestyle interventions and beta-blocker utility. Methodologically, his research leverages large cohort studies (including 1.4 million enlistee data), systematic reviews, and international collaborations through societies like ESH and ISH to translate epidemiological findings into clinical practice. Dr. Brunström leads multiple funded research initiatives including 'Remission of type 2 diabetes through eHealth' (2022-2028) and 'VIPviza' (2013-2027), directing a multidisciplinary team that bridges clinical cardiology, epidemiology, and public health. His advisory role extends to national guideline committees and international hypertension societies where he shapes clinical practice through evidence synthesis and position papers. Based at Norrlands University Hospital's Cardiology Section, his research group operates within Umeå University's strong cardiovascular research ecosystem, maintaining active collaborations with the Swedish National Diabetes Register and international consortia. Their work emphasizes real-world applicability, examining topics like bedtime dosing of antihypertensives and self-report diagnostic tools to overcome barriers in hypertension control where only 25% of affected individuals achieve target blood pressure levels.
Tommy Löfstedt is an Associate Professor at Umeå University , affiliated with the Department of Computing Science and the Department of Mathematics and Mathematical Statistics. His research focuses on machine learning , computer vision , and medical image analysis , with applications in life sciences, radiation therapy, and biomedical imaging. He leads multiple research projects, including AI-driven delineation in radiation therapy, quantitative MRI for radiotherapy, and machine learning for plant nutrient uptake. Current research emphasizes structured regularization methods to improve model interpretability and robustness. Key applications include medical image segmentation , Alzheimer's classification , and uncertainty estimation in MRI . Recent publications highlight his work on morphological regularization , adversarial attack mitigation , and multi-task learning in medical imaging contexts. His projects span 2022–2026 with funding for pediatric oncology automation and gynecological cancer staging. Affiliated with both computing and mathematical departments, he bridges algorithm development with applied mathematical frameworks in medical and life science domains.
Panagiotis Papapetrou is a Professor of Data Science and Deputy Head of Department at the Department of Computer and Systems Science , Stockholm University (since 2017). He also serves as Head of the Data Science Research Group and holds an Adjunct Professor position at Aalto University (Finland). As a Board Member of the Swedish Association for Artificial Intelligence (SAIS) , he contributes to shaping AI research directions in Sweden. Research Pillars: Algorithmic data mining, interpretable machine learning, time series classification, and health informatics Key Projects: AI for societal fairness, digital twins for smart buildings, EXTREMUM for explainable medical AI, and e-learning personalization Teaching Legacy: Developed courses in Data Mining (HT2013-2022), Machine Learning (VT2022-2024), and Health Informatics (VT2018-2021) His work focuses on interpretable AI for healthcare applications, particularly through counterfactual explanations for time series classification and forecasting. This includes developing methods like Glacier for constrained counterfactuals and Ijuice for k-justified explanations. His research also explores multimodal clustering of sepsis patient records and federated learning approaches for ICU mortality prediction. Recent scientific contributions include: CounterFair (2024): Group fairness analysis via counterfactual burden metrics M-ClustEHR (2024): Multimodal clustering for electronic health records COMET (2024): Constraint-based glucose forecasting explanations Temporal pattern mining (2024-2025): Enhanced forecasting models through decomposition Z-Time (2024): Interpretable multivariate time series classification His editorial leadership includes: Action Editor at Machine Learning Journal (since 2024) Action Editor at Data Mining and Knowledge Discovery (since 2018) Guest Editorial Board for ECML/PKDD Journal Track (2014-2019)
Konrad Burchardi is Professor of Economics at the Institute for International Economic Studies (IIES) at Stockholm University. His academic work focuses on understanding economic development processes and the social foundations of economic behavior, with significant contributions to development economics and migration studies. Professor Burchardi obtained his PhD in Economics from the London School of Economics (LSE), with prior studies conducted in Munich, Aix-en-Provence, and at LSE. His educational background reflects a strong international foundation in economic theory and development perspectives. His research primarily centers on productivity growth at early stages of economic development and the social underpinnings of economic interactions. Key contributions include field experiments on sharecropping contracts in developing countries, demonstrating how output-sharing rules affect agricultural productivity, and research showing how migration ancestry influences foreign direct investment patterns. His work spans agricultural economics, migration studies, experimental economics, and economic networks, often employing rigorous field and natural experimental designs to establish causal relationships. Analysis of Professor Burchardi's publication record reveals consistent contributions to top economics journals with a focus on development and labor economics. His work shows an evolution from examining micro-level economic behaviors in developing countries to broader questions about migration networks and their economic impacts. His recent publications indicate increasing attention to historical economic data and financial inclusion, with work scheduled through 2025.
