Donald Mitchell is a Professor at Uppsala University's Department of Human Geography, specializing in historical-materialist analyses of political-economic determinants of landscapes, urban public spaces, and labor geographies. His research spans migrant labor in California agribusiness, protest dynamics in public spaces, and Marxist geographical theory. Recent publications examine gig economy labor, spatial justice, and historical Swedish workers' movements. He co-edited Food Across Borders (2017) and Revolting New York (2018), with ongoing work on Mean Streets (2020) and United Farm Workers-era research. His scholarship connects labor struggles, capitalist production of nature, and critical urban theory, challenging neoliberal spatial practices while exploring the intersection of social reproduction and algorithmic city infrastructures through migrant service workers.
Dominik Fay is a Researcher at the Division of Decision and Control Systems within Kungliga Tekniska Högskolan (KTH). His work focuses on federated machine learning, data privacy, and their applications in healthcare. He is supported by the Wallenberg AI, Autonomous Systems and Software Program (WASP) through their industrial PhD program in collaboration with Elekta, a healthcare technology company. Education: MSc in Computer Science from KTH (2019) BSc in Applied Computer Science from Heidelberg University (2017) His research primarily addresses privacy challenges in distributed machine learning environments. Key contributions include methods for locally differentially private federated learning, dynamic privacy allocation, and privacy amplification techniques tailored for healthcare applications. His work also explores the intersection of machine learning and medical imaging, particularly in segmentation tasks requiring stringent privacy guarantees. Dominik's publications reflect a strong emphasis on data privacy, federated learning, and healthcare applications. Recent articles focus on correlated noise in federated learning, privacy allocation for composite objectives, and privacy-preserving medical image segmentation. Earlier works extend into smart grid privacy, metabolomics data analysis, and scalable privacy-preserving algorithms. Grants and Collaborations: Supported by WASP Industrial PhD Program Collaboration with Elekta, a leader in healthcare technology He is part of Mikael Johansson's research group, which specializes in decision and control systems, and his work aligns with broader efforts in privacy-preserving AI and machine learning for sensitive healthcare data.
Jonas Sjöberg is a Full Professor of Mechatronics at Chalmers University of Technology, where he leads the Mechatronic research group in the College of Engineering. His research spans multiple aspects of mechatronic systems with a strong focus on automotive applications. Sjöberg holds leadership roles in numerous research projects related to autonomous vehicles, vehicle control systems, and transportation safety. His research interests encompass a broad spectrum of mechatronics applications, with particular emphasis on model-based methods, signal processing, control systems, system identification, and optimization for design and product development of mechatronic systems. Sjöberg's work bridges theoretical control engineering with practical automotive applications, especially in the domains of Automotive Active Safety and Hybrid Electric Vehicles. Analysis of Sjöberg's recent publications reveals a strong research trajectory focused on autonomous vehicle technologies, with particular attention to vehicle dynamics control, intersection safety, road surface condition estimation, and optimization of vehicle maneuvers. His work demonstrates a consistent approach of applying advanced control theory to solve real-world transportation challenges, with increasing emphasis on machine learning techniques integrated with traditional control systems. Sjöberg actively supervises research and education at both undergraduate and graduate levels while leading multiple research projects funded by VINNOVA, the European Commission, and other organizations. His research group collaborates extensively with both academic institutions and industry partners in the automotive sector. His laboratory work focuses on mechatronic systems development, particularly for automotive applications including autonomous bicycles, bus docking systems, and vehicle control algorithms. The research group maintains strong connections with the automotive industry, particularly in Sweden's robust vehicle technology ecosystem.
Maria Hedelin serves as a Senior Lecturer at Karolinska Institutet's Department of Medical Epidemiology and Biostatistics since 2023, specializing in nutrition-dietetics intersections with cancer epidemiology, particularly prostate cancer research through dietary interventions and biomarker analysis. She earned her Doctor of Philosophy (PhD) from Karolinska Institutet's Department of Medical Epidemiology and Biostatistics in 2006, establishing her academic foundation in epidemiological methods and nutritional sciences. Hedelin's research centers on nutritional oncology, investigating how phytoestrogens, dietary fiber, and fatty acids influence cancer development and progression. Her work bridges clinical practice and population health through randomized controlled trials like PRODICA and cohort studies examining dietary patterns in Swedish cancer populations. She develops innovative assessment tools including mobile applications for dietary monitoring, emphasizing methodological rigor in nutritional epidemiology. Analysis of her 15 most recent publications reveals consistent thematic focus on prostate cancer nutrition interventions, with evolving methodological sophistication from cohort studies (2008-2013) to contemporary randomized trials (2021-2025). Her research spans dietary assessment validation, genetic-diet interactions, radiotherapy side effect mitigation, and cross-cancer applications from prostate to breast and colorectal malignancies. No major scientific awards or prizes are documented in publicly available information regarding her career achievements. While specific student advising details remain unpublicized, her doctoral thesis supervision and extensive publication record suggest active mentorship roles. Departmental context indicates involvement in Karolinska's Medical Epidemiology and Biostatistics unit which recently secured 120 million SEK in Swedish research funding (2024), supporting collaborative projects in cancer epidemiology and nutritional interventions. As a core faculty member in one of Europe's leading medical research institutions, Hedelin contributes to Karolinska Institutet's mission through interdisciplinary collaborations spanning oncology, nutrition science, and biostatistics, with growing emphasis on personalized dietary approaches based on genetic profiling in cancer care.
James Gross is a Professor at the School of Electrical Engineering and Computer Science at KTH Royal Institute of Technology, Stockholm. He leads research in mobile systems and networks, with a focus on 5G/6G, edge computing, and performance evaluation. He is Associate Director of KTH's Digital Futures center and a board member of the Innovative Centre for Embedded Systems. Previously, he directed the ACCESS Linnaeus Centre (2016–2019) and was Assistant Professor at RWTH Aachen University. PhD, TU Berlin (2006) Studies: TU Berlin, UC San Diego His research lies at the intersection of wireless networking, edge computing, and mathematical performance modeling. Key areas include ultra-reliable low-latency communications (URLLC), age-of-information, network calculus, and resource allocation. He applies these to 5G/6G, cyber-physical systems, and industrial IoT. His work combines theoretical modeling with real-world implementation and standardization impact. The recent publications highlight a strong focus on deterministic and reliable communications for future networks. Topics include hierarchical inference at the edge, age-of-information optimization, finite blocklength coding, and integration of TSN with wireless systems. There is a clear trend towards AI/ML for resource management and semantic communications, reflecting the evolution of intelligent edge networks. Best Paper Award, ACM MSWiM 2015 Best Demo Paper Award, IEEE WoWMoM 2015 Best Paper Award, IEEE WoWMoM 2009 Best Paper Award, European Wireless 2009 ITG/KuVS Dissertation Award, 2007 James Gross has supervised PhD students such as Samie Mostafavi and advises numerous master's projects. His research has been funded by national science foundations in Germany and Sweden, the ICT TNG SRA, Linnaeus ACCESS Centre, DFG-funded UMIC Centre, German Ministry of Science, and various industry partners. His work has led to patents and influenced wireless standards. He is involved in initiatives like the TECoSA project on trustworthy edge computing and organizes summer schools on Edge AI and 6G. His lab conducts experimental research on edge computing testbeds (e.g., Ainur, ExPECA) and wireless performance evaluation.
Micael Derelöv is an Associate Professor at Linköping University's Department of Management and Engineering (IEI), specializing in Product Realisation (PROD). His work focuses on optimizing safety, reliability, and efficiency in industrial and aerospace systems. He contributes to sustainable product development through advanced methodologies in design optimization and failure analysis. His research integrates robotics, manufacturing systems, and systems engineering to address challenges in collaborative assembly, aircraft design, and risk management. Dr. Derelöv’s research interests include multi-objective optimization for balancing safety and weight in aircraft systems, industrial safety demonstrators, and reliability-centric design processes. He has developed frameworks for evaluating design concepts and identifying potential failures in early-stage engineering projects. His work also explores the application of genetic algorithms in concept synthesis and the use of qualitative modeling for risk assessment. His publications highlight trends in industrial safety, systems reliability, and aerospace engineering. Recent work includes advancements in safe collaborative robotics on assembly lines and methodologies for industrial safety demonstrators. Earlier contributions address cost optimization in reliability-focused design and bio-mechatronic product development. While no specific scientific awards are listed, his active research and academic role reflect a commitment to advancing engineering practices. He collaborates on student projects, such as a recent initiative designing a pressure-resistant device for space exploration, demonstrating engagement in applied and interdisciplinary research. Micael Derelöv’s affiliation with the Department of Management and Engineering positions him at the intersection of academic research and industrial innovation, particularly within the Product Realisation group. His work emphasizes sustainable, integrated approaches to product development, blending theoretical insights with practical applications in manufacturing and aerospace sectors.
Olle Häggström is a Professor of Mathematical Statistics at Chalmers University of Technology, specifically in the Department of Applied Mathematics and Statistics. His academic career spans several decades with a significant shift in research focus over time. Häggström's research interests have evolved from traditional probability theory to encompass broader future-oriented topics. Initially focused on mathematical statistics and probability theory, including percolation theory and stochastic processes, he has increasingly turned his attention to futurology, existential risk, and AI safety in recent years. His work demonstrates a unique interdisciplinary approach, bridging rigorous mathematical analysis with philosophical considerations about humanity's technological trajectory. The trends in Häggström's publications reveal a clear evolution from purely mathematical research toward interdisciplinary studies examining the societal implications of emerging technologies. His recent work focuses heavily on AI safety, existential risk assessment, and long-term futures thinking, while still maintaining connections to his mathematical foundations. This shift is evident in publications ranging from technical mathematical papers to broader philosophical discussions about technology's impact on civilization. Häggström has received research funding from notable sources including the FTX Foundation Future Fund for his project "Topics in the theory of xrisk and longtermism" (2022-2025), indicating recognition of the importance of his work in the existential risk community. His book "Here Be Dragons: Science, Technology and the Future of Humanity" (2016) represents a significant synthesis of his thinking on these topics. While specific details about his advising activities are not provided in the source material, his research projects suggest engagement with interdisciplinary teams working at the intersection of mathematics, computer science, and future studies. His work appears to influence both academic and policy discussions regarding technological risk and long-term planning.
Cecilia Boström serves as a Senior Lecturer (Universitetslektor) and Docent at Uppsala University's Department of Electrical Engineering within the Faculty of Science and Technology. She holds dual roles as both an academic faculty member and Prefect (Head) of the Department of Electrical Engineering at the Ångström Laboratory. Her institutional email is cecilia.bostrom@angstrom.uu.se and she can be reached at phone number 018-471 58 55. Dr. Boström's research primarily focuses on electrical systems for renewable energy applications, with particular emphasis on wave power technology. Her work spans renewable energy integration, power grid stability, marine energy systems, and electrical engineering solutions for sustainable energy. She has extensively studied wave energy converters, power electronics for renewable integration, grid-forming control systems, and the application of marine energy for desalination and freshwater production. Her research aims to ensure that a significant portion of the world's future energy supply comes from renewable sources while maintaining reliable power systems. Analysis of her recent publications reveals a strong trend toward grid integration of renewable energy sources, particularly wave power systems. Her work demonstrates increasing focus on power electronics control strategies, grid-forming capabilities for island electrification, and service stacking with energy storage systems to address grid congestion. There's also a clear trajectory toward practical applications of wave energy for specific use cases like freshwater production on islands and vehicle-to-grid integration. Dr. Boström has been consistently active in wave energy research since the early 2000s, with numerous publications related to the Lysekil wave energy research site in Sweden. Her work spans theoretical modeling, experimental validation, and practical implementation of wave energy conversion systems. She appears to be actively involved in advising students and collaborating on research projects, as evidenced by her numerous co-authored publications across various topics in electrical engineering and renewable energy. Her work frequently intersects with energy storage applications, power quality assessment, and innovative control strategies for renewable integration. Dr. Boström is part of Uppsala University's wave energy research group, which has been conducting experiments at the Lysekil research site since the mid-2000s. This group has developed direct-drive linear generator technology for wave energy conversion and has been instrumental in advancing marine renewable energy research in Sweden.
Peter Maurer is a Senior Lecturer in Media and Communication Research at Karlstad University's Department of Geography, Media and Communication. He holds a doctorate from Freie Universität Berlin (2011) and a master's in political science from Johannes Gutenberg-Universität Mainz. His research focuses on populist communication, political journalists' perceptions of media, automated frame analysis, and digital media dynamics. Maurer currently teaches in the Digital Media and Analysis (DMA) program, convening courses like Media Audiences in the Digital Age and Digital Methods . He leads the Journalistic Role Performance project (2021-2024) as Co-Principal Investigator and is Sweden's representative in the COST Action OPINION network. Notable grants include an Ander Foundation award (2025-2029) for studying disinformation detection via computational methods. His work bridges media studies with political science, emphasizing digital platforms' role in contemporary communication. Publications highlight crisis communication (e.g., pandemic reporting), transnational comparisons of media systems, and the intersection of populism with social media. His research often employs computational methods to analyze large-scale data, such as automated frame detection in journalists' tweets. Labs/Teams: NODE research group at Karlstad University, COST OPINION Tools working group Grants: SEK 7.5M Ander Foundation grant, Faculty of Arts and Social Sciences funding (2024)
Emilie Friberg is an Associate Professor and Senior Researcher at Karolinska Institutet's Department of Clinical Neuroscience, where she leads the interdisciplinary research group focused on sickness absence, health, and living conditions. Her work spans multiple domains including multiple sclerosis, traffic injuries, mental health among students, and rehabilitation coordination. Dr. Friberg's research employs both quantitative and qualitative methodologies, utilizing nationwide registers, questionnaires, and interviews to investigate: Risk factors for and consequences of sick leave related to specific diagnoses Interactions between various stakeholders in illness and sick leave processes Systematic literature reviews in insurance medicine and related fields Her work bridges insurance medicine, public health, psychology, sociology, and health economics, addressing critical questions about work capacity, rehabilitation, and societal participation for individuals with chronic conditions. Current projects include studying sickness absence patterns in multiple sclerosis, long-term consequences of traffic injuries, the role of rehabilitation coordinators (REKO project), and mental health challenges among university students. Dr. Friberg's extensive publication record demonstrates consistent focus on sickness absence trajectories, work disability, and rehabilitation across multiple conditions. Her recent work shows increasing emphasis on register-based longitudinal studies examining the interplay between medical conditions, treatment approaches, and labor market outcomes, with particular attention to gender differences and socioeconomic factors. Her research is supported by diverse funding sources including Biogen, BMS/Celgene, Forte (Swedish Research Council for Health, Working Life and Welfare), the Swedish Social Insurance Agency, Neurofonden, and the Swedish Research Council. She supervises multiple PhD students and collaborates extensively with researchers across disciplines and institutions, including Folksam Traffic Research and Stockholm County. Dr. Friberg's research group operates as an interdisciplinary hub bringing together medical doctors, psychologists, sociologists, economists, and other professionals to address complex questions at the intersection of health and work capacity. The group frequently employs mixed-methods approaches and has established strong connections with healthcare providers, insurance agencies, and policy makers to ensure research relevance and impact.
Amanda Ulfdotter Samuelsson is a doctoral student at the University of Gothenburg , specifically within the Section for Organization, Health and Addiction . Her work focuses on safety leadership behaviors in high-risk industries like construction, emphasizing behavior-based safety interventions and organizational health dynamics . Position: Doctoral Student Primary Affiliation: University of Gothenburg Department: Section for Organization, Health and Addiction Research Interests: Samuelsson's research explores critical intersections between organizational psychology and industrial safety. She specializes in: Leadership behavior modeling Behavioral safety training effectiveness Employee safety compliance mechanisms Organizational culture transformation Intervention design in construction settings Behavioral risk assessment Publication Trends: Recent works demonstrate consistent focus on construction industry safety , with empirical studies in 2024 and 2023 documenting: Longitudinal leadership behavior analysis Randomized safety training trials Practical implementation frameworks Collaborative industry solutions
Linn Axelsson is a Senior Lecturer (Docent) at the Department of Human Geography, Stockholm University, where she conducts research on migration, borders, and labor geography. Her work focuses on understanding the complex relationships between migration governance, border practices, and the experiences of migrants across various economic sectors and national contexts. Dr. Axelsson's research interests span several interconnected areas of human geography. She investigates eco-social transformation , examining how environmental and social changes intersect in contemporary societies. Her work on border studies and migration explores the evolving nature of borders beyond traditional territorial boundaries, analyzing how borders are performed and experienced in everyday life. In labour geography and precarious work , she examines the conditions of migrant workers across various sectors including agriculture, IT, and restaurant industries. Her research on digital geography and place-making investigates how digital technologies reshape spatial practices and experiences. Her recent publications demonstrate a consistent focus on the temporal and spatial dimensions of migration governance. Axelsson's work reveals how borders operate not just as physical barriers but as complex processes that unfold over time and across space. She has made significant contributions to understanding migration intermediaries, showing how state and non-state actors co-produce regulatory spaces for labor migration. Her research on Thai berry pickers in Sweden has illuminated the precarious working conditions in this sector while also revealing the motivations behind repeated migration. Similarly, her studies of Chinese restaurant workers and IT professionals in Sweden have uncovered the temporal dimensions of migrant experiences, particularly the concept of 'waiting' as a fundamental aspect of migration. Dr. Axelsson has led and participated in multiple research projects including 'Agents of migration,' 'Digital Nature,' 'Border topologies,' 'Language and Life-Course,' and 'Wild berry shifting.' These projects have been funded through various academic grants, though specific funding sources aren't detailed in the available information. While student supervision isn't explicitly mentioned in the provided text, her active research program suggests involvement in mentoring graduate students. Her work on border topologies has been particularly influential, introducing conceptual frameworks that help understand how time and space work together to shape migrant experiences. Axelsson's research bridges theoretical innovation with empirical depth, often drawing on extensive fieldwork and interviews with migrants across different sectors and national contexts.
Thomas Daum is a Senior Lecturer at the School of Global Studies , University of Gothenburg. His research focuses on sustainable agricultural transformation and natural resource management in Africa and Asia, with emphasis on innovations and governance. Key areas include agricultural mechanization, digital agriculture, pesticide use, livestock development, and sustainability transitions in African agricultural innovation systems. University: University of Gothenburg School: School of Global Studies Academic Rank: Senior Lecturer His work explores the intersection of technology, governance, and sustainability, particularly through digital methods for data collection (e.g., time-use and nutrition in rural households) and their implications for gender dynamics. He also investigates mechanization adoption, digital extension services, and climate-smart agriculture. Scientific Trends : Recent publications examine agricultural innovation systems, digitalization in Africa, mechanization challenges, and biodiversity-smart farming. Articles span journals like Agricultural Systems , Development Policy Review , and Agronomy for Sustainable Development , with keywords reflecting themes of sustainability, digital agriculture, and governance. Publications : 15 most recent works (2023-2025) address mechanization adoption, digital tools for tractor hire, pesticide governance, and ICT applications in agriculture. Sub-fields include sustainable practices, innovation systems, gender dynamics, and policy challenges across African contexts.
Pierre Nyquist is an Associate Professor and docent in the Department of Mathematical Sciences at Chalmers University of Technology and Gothenburg University. His research is sponsored by the Swedish Research Council, the Swedish e-science Research Center (SeRC), and the Wallenberg Artificial Intelligence, Autonomous Systems and Software Program (WASP). He is also an elected member of the Young Academy of Sweden for the period 2024-2029 and has served as a scientific ambassador for EURANDOM since November 2021. Dr. Nyquist's research interests lie at the intersection of probability theory, mathematical statistics, and applied mathematics. His main expertise is in probability theory, with a focus on large deviations theory and stochastic numerical methods. He has a general interest in all aspects of probability theory and much of what is categorized as applied mathematics, particularly questions related to partial differential equations, optimization, and stochastic optimal control. Recently, he has become increasingly interested in the mathematical foundations of complex data analysis and modeling, and the interplay with ideas from physics. His current research interests include large deviations, gradient flows and their generalizations, stochastic numerical methods, statistical learning theory, stochastic processes, and random dynamical systems. Pierre Nyquist has received research funding from several prestigious sources including the Swedish Research Council, the Swedish e-science Research Center (SeRC), and the Wallenberg Artificial Intelligence, Autonomous Systems and Software Program (WASP). His publications demonstrate a consistent focus on theoretical aspects of probability with applications to computational methods and data analysis, showing increasing integration with machine learning techniques in recent years. elected member of the Young Academy of Sweden (2024-2029) scientific ambassador for EURANDOM (since November 2021) Dr. Nyquist is actively involved in mentoring the next generation of researchers. He currently supervises several PhD students including Cinja Arndt (starting Aug. 2025), Niki Wilhemlson (started Aug. 2024), and Viktor Nilsson (started Aug. 2020). He has previously supervised successful PhD students such as Federica Milinanni (Aug. 2020-May 2025) and Carl Ringqvist (Aug 2015-June 2021). He regularly teaches graduate-level courses including "Modern methods of statistical learning" and has supervised numerous MSc theses on topics ranging from deep learning for time-series radar signals to neural network embedding in insurance pricing. His research group is active in both theoretical developments and practical applications, with current projects spanning from mathematical foundations of probability to applications in machine learning and data science. Dr. Nyquist maintains strong international collaborations, as evidenced by his frequent travel for conferences and research visits to institutions such as Brown University and TU Delft.
Emily Baird is a Professor at the Department of Zoology, Stockholm University , leading interdisciplinary research at the intersection of sensory ecology , neuroethology , and comparative morphology . Her work focuses on how insects like dung beetles and bumblebees process visual information to guide behavior in diverse environments. Key Collaborations : Dlife Project with University of Southern Denmark and University of Kiel (Human Frontiers Science Project) INVISMO Project with Lund University (Swedish Research Council) Research Themes : 3D micro-CT analysis of insect eyes Neural mechanisms for straight-line orientation Flight control in cluttered environments Mechanical principles of dung beetle ball rolling Techniques : Behavioral experiments, X-ray microtomography, computational modeling, ray-tracing simulations.
