Find Academic Supervisors

Robert ÖstlingView profile

Professor

• Applied Microeconomics
• Behavioral Economics
• Political Economy
• +4 more

Robert Östling is a Professor of Economics at the Stockholm School of Economics (SSE), affiliated with the Department of Economics and the Karl-Adam Bonnier Center for Governance within the House of Governance and Public Policy. He holds a PhD from SSE (2008) and previously worked at Stockholm University's Institute for International Economic Studies until 2018. His research focuses on applied microeconomics and behavioral economics, particularly examining how wealth impacts attitudes, behavior, and life outcomes using Swedish lottery data. He teaches econometrics, behavioral economics, and economics for MBA students, and serves as program director for SSE's MSc in Economics. Key roles include board membership of the Swedish Economics Association and the Expert Group on Public Economics (ESO), and membership in the scientific advisory board of the Swedish Consumer Protection Agency. He co-founded the popular economics blog Ekonomistas , recognized as 'Swede of the Year' in 2017. Awards include the Assar Lindbeck Medal (2021) and the Arnberg Prize (2009). His research spans wealth effects on labor supply, health, child development, and political behavior. Notable projects include studying lottery winners' long-term well-being and portfolio decisions. Teaching innovations include using animated GIFs for econometrics instruction. He has contributed to policy debates on economic reforms, consumer protection, and pandemic responses. Outreach activities include public writing and policy advisory roles. His research has been featured in outlets like the New York Times and Swedish media. He remains active in academic networks, including the Network for Evidence-Based Policy.

Malgorzata BlicharskaView profile

Senior Lecturer

• Sustainable Development
• Climate Change Governance
• Ecosystem Services
• +6 more

Malgorzata Blicharska is a Senior Lecturer in Sustainable Development at Uppsala University, affiliated with the Department of Geosciences and the Institute for Research on Conflicts of Interest in Sustainable Social Transformation. Her work spans multiple research domains focused on sustainable natural resource management and policy implementation. Dr. Blicharska's research focuses on sustainable development with expertise in ecosystem services, biodiversity conservation, climate change governance, and the Water-Energy-Food-Ecosystem (WEFE) nexus. She integrates social science perspectives with environmental management, examining policy implementation and stakeholder engagement in conservation initiatives. Her work includes extensive research on urban ponds, recreational fisheries, and nature-based solutions, particularly focusing on ponds and wetlands as key components of sustainable landscape management. Her recent publications reveal a strong emphasis on transdisciplinary approaches to environmental challenges, with growing focus on nature-based solutions, drought vulnerability in forested regions, and governance aspects of implementing the WEFE nexus concept. Her work increasingly addresses justice dimensions in environmental management and stakeholder engagement in policy implementation. LANDPATHS: Swedish Environmental Protection Agency-funded program on multifunctional landscapes (coordinator) PONDERFUL: Horizon 2020 project on pond biodiversity and ecosystem services (WP lead) NEXOGENESIS: Horizon 2020 project on WEFE nexus policy integration (WP lead) Wet-Kit: Swedish Environmental Protection Agency project on wetland optimization PUDDLE-JUMP: Formas-funded project on small artificial waterbodies

Michael FelsbergView profile

Professor

• Artificial Visual Systems
• Computer Vision
• Robot Vision
• +4 more

Michael Felsberg is a Professor and Head of Division at the Department of Electrical Engineering (ISY) at Linköping University, leading the Computer Vision Laboratory (CVL). His research focuses on artificial visual systems (AVS), including 3D computer vision, computational imaging, object tracking, and autonomous systems. He emphasizes HVS-inspired approaches to bridge the gap between human and machine vision capabilities. Notable achievements include over 20,000 citations (h-index 47), leadership roles in the Wallenberg AI, Autonomous Systems and Software Program (WASP), and recognition as Sweden’s top AI researcher by Vinnova. His work spans academic contributions, industry collaborations, and interdisciplinary projects like climate science applications of machine learning. Positions : WASP Executive Committee Member, WASP Area Cluster Leader for Machine Learning, and Vice-Head of Department (Electrical Engineering). Education : Extensive academic background in electrical engineering and computer vision (details not explicitly stated). Research trends in his articles reflect advancements in autonomous systems, multimodal AI, and robust vision models. His teams address challenges like object tracking, generative models for 3D simulation, and culturally diverse AI systems. Awards : Tracking Challenge Winner (OpenCV, 2015) Best Paper Awards (ICPR 2016, VISAPP 2021) Vinnova’s Highest-Ranked Swedish AI Researcher (2018) He advises numerous PhD students and oversees grants in WASP-funded initiatives. CVL collaborates on projects like disaster-response robotics and Berzelius supercomputer utilization for AI.

• Learning Engineering
• Technology-Enhanced Learning
• Question-Based Learning
• +12 more

Olof Bälter is a Professor in Computer Science at KTH Royal Institute of Technology, affiliated with the Division of Media Technology and Interaction Design within the School of Electrical Engineering and Computer Science. He is the founder of the Technology-Enhanced Learning research group and holds a focus on learning engineering and human-computer interaction. His research interests center on technology-enhanced learning , question-based learning , learning analytics , AI in education , and inclusive pedagogy . A consistent theme in his work is improving efficiency in education and daily life through digital tools. He developed the Pure Question-Based Learning (Pure QBL) methodology, a digital Socratic approach that enhances student engagement and learning outcomes. His work extends to wellness in education through initiatives like walking seminars, and he investigates digital interventions for mental health, such as online Cognitive Behavioral Therapy (CBT) courses. His recent publications highlight trends in AI-generated educational content , learning efficiency , digital pedagogy , and inclusive course design , with applications in computer science education, language instruction, and global development. His research often employs experimental and data-driven methods, including randomized controlled trials and learning analytics. Teacher of the Year at the Surveying program KTH's Pedagogical Prize Higher Education Hero STINT Excellence in Teaching Scholarship (2008 and 2013) Olof Bälter has supervised numerous courses in programming, computer science, media technology, and learning engineering. He has collaborated with institutions such as Stanford University, Williams College, Region Stockholm, Stockholm University, and organizations like Promobilia and Begripsam. His projects aim to scale effective learning methods globally and make education more accessible and efficient. He leads research on the effectiveness of Pure QBL for students with ADHD and is involved in developing digital tools for health literacy and professional development in Ethiopia and Rwanda. His work bridges theory and practice, aiming to transform educational delivery through innovation and evidence-based design.

• Computational Materials Science
• Condensed Matter Physics
• Nanomaterials
• +6 more

Paul Erhart is a Professor in Condensed Matter and Materials Theory at the Department of Physics, Chalmers University. He received his PhD from Technische Universität Darmstadt in 2006, followed by postdoctoral and staff positions at Lawrence Livermore National Laboratory from 2007, before joining Chalmers in 2011. His research bridges computational physics, materials science, and machine learning to tackle fundamental problems in materials design and characterization. Dr. Erhart's research focuses on computational materials science with particular emphasis on condensed matter physics, nanomaterials, and quantum materials. His work spans from developing computational methods like machine-learned potentials (GPUMD, neuroevolution potentials) to studying fundamental phenomena in perovskites, 2D materials, thermal transport, and plasmonics. He has pioneered approaches connecting simulation with experimental techniques through correlation functions and has made significant contributions to understanding phase transitions, defect physics, and electronic structure in complex materials systems. Analysis of his recent publications reveals a strong trend toward integrating machine learning with traditional computational physics methods. His work increasingly focuses on developing and applying neuroevolution potentials to study thermal properties, phase transitions, and optical phenomena in materials. There's also a clear emphasis on connecting computational results with experimental observations, particularly in neutron scattering, Raman spectroscopy, and plasmonic sensing applications. His research spans fundamental materials physics to applied areas like hydrogen sensing and sustainable materials development. Dr. Erhart has contributed to numerous software packages essential to the computational materials science community, including WulffPack for Wulff constructions, Dynasor for extracting dynamical structure factors, calorine for neuroevolution potential models, and ICET for alloy cluster expansions. His collaborative work spans multiple institutions and disciplines, reflecting the interdisciplinary nature of modern materials research. His contributions to understanding perovskite materials, thermal transport phenomena, and plasmonic systems have established him as a leading researcher in computational materials science.

• Artificial Intelligence in Education
• Science Education
• Self-Regulated Learning
• +5 more

Yael Feldman Maggor is a Postdoctoral Fellow at KTH Royal Institute of Technology, affiliated with the Media Technology & Interaction Design Division and the Digital Futures research center. Her work bridges educational technologies, artificial intelligence, and science education, with a focus on enhancing pedagogy through innovative tools. Research Themes: Generative AI in education, self-regulated learning, learning analytics, chemistry education, and ethical considerations in AI integration. Key Projects: Contributions to the International Journal of Science Education, development of AI-driven evaluation frameworks, and pandemic-era online teaching analysis. Methodologies: Expertise in quantitative and qualitative research, educational data mining, and design of interactive learning platforms. Recent publications emphasize cross-cultural trust in AI, generative AI applications in chemistry education, and explainable AI for teacher professional development. She co-authored studies on nanotechnology courses for educators and self-regulation strategies in online learning environments.

• Per- and polyfluoroalkyl substances (PFAS)
• Contaminant Fate Modelling
• Pollutant Dynamics
• +6 more

Professor Ian Cousins is a leading researcher in the Department of Environmental Science at Stockholm University, specializing in the study of persistent organic pollutants, particularly per- and polyfluoroalkyl substances (PFAS). With over 200 peer-reviewed publications and recognition as a Highly Cited Researcher in 2018 and 2020, his work has significantly influenced environmental policy and scientific understanding of chemical pollution. BSc (Hons) in Chemistry, University of York (1989) Master's in Environmental Management, University of Surrey (1991) PhD in Environmental Science, Lancaster University (1998) Prof. Cousins' research focuses on the sources, transport, fate, and exposure pathways of contaminants in the environment, with particular emphasis on PFAS. His work combines experimental and modeling approaches to investigate how these persistent chemicals move through ecosystems, with recent studies examining sea spray aerosol transport of PFAS and their global distribution. His research has contributed to understanding PFAS as a planetary boundary issue, demonstrating that environmental contamination by these substances has exceeded safe operating limits. Prof. Cousins' extensive publication record shows a clear trend toward addressing the complex challenges of PFAS pollution, including their environmental behavior, risk assessment methodologies, regulatory frameworks, and the application of the essential-use concept for phasing out non-essential PFAS applications. His work spans fundamental environmental chemistry to policy-relevant research that has directly influenced European environmental decision-making. Highly Cited Researcher (2018, 2020) Listed among 30 EU politicians and professionals with greatest impact on European environmental policy (2023) Associate Editor of Environmental Science and Technology (2020-present) Associate Editor of Environmental Au (2021-present) Prof. Cousins actively supervises master's students focusing on organic pollutants and has coordinated major research projects including PERFORCE3, a Europe-wide doctoral training program on PFAS, and ZeroPM, targeting PFAS and persistent, mobile substances. His research has been supported by multiple European Union Horizon 2020 grants, reflecting the significance and impact of his work on global environmental challenges. He leads a research group that works closely with analytical chemists to better understand the behavior of PFAS and other contaminants, contributing to the development of evidence-based approaches for managing chemical pollution and protecting environmental and human health.

• Power Grid Planning
• Electricity Market Modeling
• Renewable Energy Integration
• +4 more

Anh Tuan Le is an Associate Professor at the Department of Electrical Engineering, Chalmers University of Technology. He holds a PhD in Power Systems from Chalmers (2004) and a Master's in Energy Economics from the Asian Institute of Technology (1997). Specializes in power grid planning, electricity market modeling, and renewable energy integration Active in electric vehicle-grid interaction and battery storage systems Develops voltage stability solutions and decentralized control strategies His recent research focuses on: Flexibility markets for congestion management Machine learning applications in load forecasting Real-time security margin control using AI Key projects include: DigiRES (2024-2027): Digital integration of multi-energy flexibility POTENT-X (2024-2027): Port energy transition hubs FLEXIGRID (2019-2023): Distribution grid flexibility solutions

Harald RohracherView profile

Professor

• Sociotechnical transitions
• Climate change
• Sustainable development
• +9 more

Harald Rohracher is a Professor at the Department of Theme (TEMA) , Linköping University , affiliated with the Theme Technology and Social Change (THEME) . His research focuses on sociotechnical transitions for climate-neutral cities , examining energy systems, digitalization, and governance strategies. Grants: Formas, Horizon Europe, Vinnova Labs: STRIPE (Sociotechnical Research on Infrastructures, Politics, and Environment), Biogas Solutions Research Center Students: Adam Svensson, Stella Huang, Gavin Nilsson Lewis, Giorgi Kankia Rohracher investigates how households , social movements , and policy frameworks interact in transformative processes. His recent work explores smart grid politics , decentralized energy systems , and urban food digitalization , emphasizing power dynamics and governance experiments. He leads projects on transdisciplinary education for climate governance, positive energy districts , and collective experimentation across Sweden and Spain. His scientific grants highlight institutional support for sustainability research, while his research teams bridge academic, governmental, and civil society actors.

• Sports Psychology
• Sports Injury Rehabilitation
• Adolescent Athletics
• +2 more

Urban Johnson is a Professor at Halmstad University's School of Health and Welfare, specializing in sports psychology with a focus on sustainable participation in sports, health, and physical activity. His research examines psychological aspects of sports injury (pre- and post-injury) and healthy athletic engagement, particularly through pandemic-era studies of Swedish upper secondary sport students. Johnson's research interests center on: Psychological mechanisms in sports injury rehabilitation and prevention Adolescent athlete mental health and dropout dynamics Pandemic impacts on sport education systems Gender-specific responses to athletic challenges Longitudinal behavioral patterns in youth sports His work integrates qualitative analysis of student-athlete experiences with clinical psychology frameworks. His publication trends reveal intense focus on pandemic-related disruptions (2020-2025), with 12 of 15 recent articles examining COVID-19's impact on student-athletes, teachers, and sports systems. Key thematic clusters include: Sport injury psychology (ACL re-ruptures, prevention) Adolescent mental health during crises Fun/motivation dynamics in youth sports Cross-contextual leadership challenges Johnson actively supervises students at basic, advanced, and doctoral levels while teaching methodology courses. His collaborative projects include the Karolinska Football Injury Cohort Study and consensus statements on sport injury psychology. Current work emphasizes cocreation of injury prevention programs and psychological support services for elite handball.

Peter FredrikssonView profile

Professor

• Labor Economics
• Economics of Education
• Policy Evaluation
• +3 more

Peter Fredriksson is a Professor at the Department of Economics, Uppsala University. He serves on the Nobel Committee for the Prize in Economic Sciences (Chair 2019-2021) and is affiliated with institutions like the Rockwool Foundation, IZA, CESifo, UCLS, and IFAU. His work spans labor economics, education economics, and policy evaluation. Research Focus : Labor economics, education economics, and policy evaluation Affiliations : Uppsala University, Rockwool Foundation, IZA, CESifo, UCLS, IFAU Research Interests center on labor economics, particularly unemployment insurance, class size effects, peer influences, and policy impacts. His work connects wage dynamics, educational outcomes, and public program evaluations. He explores non-cognitive skills' rising importance and gender pay disparities. Recent Publications (2025-2013) address topics like job mobility, layoff policies, child development, and global poverty. Key journals include Quarterly Journal of Economics , American Economic Review , and Journal of Human Resources . Scientific Awards & Roles : Member of the Royal Swedish Academy of Science Chair of the Nobel Committee for Economic Sciences (2019-2021) Research Fellow at IZA and CESifo Affiliated with Uppsala Center for Labor Studies and IFAU Associate Editor at Scandinavian Journal of Economics Collaborations include the Rockwool Foundation's program committees and extensive work with Björn Öckert, Per-Anders Edin, and Hessel Oosterbeek.

• Fluid Mechanics
• Non-Newtonian Fluids
• Multiphase Flow
• +4 more

Outi Tammisola is a Professor at KTH Royal Institute of Technology, specializing in Fluid Mechanics within the Department of Mechanics. Her research focuses on non-Newtonian fluids, viscoelasticity, multiphase flows, and microfluidics. She is actively involved in teaching and course coordination for mechanics and fluid dynamics courses, including Mechanics I, Mechanics II, and Wave Motion and Hydrodynamic Stability. Her work bridges numerical methods, experimental validation, and industrial applications, with a strong emphasis on understanding complex fluid behaviors in both theoretical and applied contexts. Dr. Tammisola’s research interests span topics such as elastoviscoplastic fluids, particle migration in microchannels, and interfacial phenomena in viscoelastic systems. Her recent publications address challenges in multiphase flow dynamics, including droplet coalescence, bubble migration, and the rheology of non-Newtonian fluids. She contributes to advancements in numerical methods, such as phase-field modeling and immersed boundary techniques, to simulate complex fluid-structure interactions. Her articles highlight trends in understanding fluid behavior under extreme conditions, such as high aspect ratio microchannels and porous media. Collaborations with experimentalists and computational scientists ensure her work remains both innovative and grounded in real-world applications. While no scientific awards are explicitly mentioned, her extensive publication record reflects significant contributions to the field of fluid mechanics. Outi Tammisola is also engaged in academic leadership, overseeing degree projects and contributing to the development of educational programs at KTH. Her research group likely explores cutting-edge topics in microfluidics and viscoelastic turbulence, though specific lab or team affiliations are not detailed in the provided texts.

• Econometrics
• Panel Data Econometrics
• Structural Breaks
• +3 more

Joakim Westerlund is a Professor in the Department of Economics at Lund University's School of Economics and Management. With over 134 research outputs and 33 academic activities, his work focuses on econometrics, particularly panel data analysis, structural breaks, and estimation theory. He has contributed to the development of econometric methods for the New Keynesian Phillips Curve and common correlated effects models. Active Wallenberg Academy Fellowship (2019-2028) Supervised 11 doctoral theses and bachelor/master projects Peer-review panel member and journal editor His research aligns with UN Sustainable Development Goals in Economics and Econometrics, with significant contributions to panel unit root testing, interactive effects models, and Stata-based econometric methods. Westerlund received the prestigious Journal of Applied Econometrics Distinguished Author award in 2018. Current PhD supervisees include Christina Maschmann (2023-2028), Tilman Bretschneider (2023-2028), Pelle Almgren (2022-2027), and Shayan Meskinimood (2021-2026).

• Array Antennas
• Millimeter-Wave Communication
• Antenna Integration with Electronics
• +4 more

Marianna Ivashina is a Professor and Head of the Antenna Systems Research Group at Chalmers University of Technology's Department of Electrical Engineering . Her work focuses on array antennas , antenna integration with electronics , optimal beamforming , and over-the-air measurement methods . The group has achieved international recognition for innovations in ultra-wideband (UWB) feeds , Gap waveguide antennas , and Doherty-power-amplifier-integrated antennas for 5G/6G and radio telescope applications. Key projects include the SSF Sweden-Taiwan collaboration , EU Horizon 2020 MyWave , and VINNOVA ENERGETIC initiatives. Her recent publications emphasize millimeter-wave (mmWave) communication and reconfigurable intelligent surfaces (RIS) , with applications in 5G/6G networks , satellite communication (SatCom) , and advanced antenna testing chambers . She explores beamforming optimization , self-interference mitigation , and hybrid OTA environments to enhance wireless system performance. The group's work bridges theoretical advancements with practical implementations, including RFSoC testbeds and high-efficiency antenna arrays . Marianna leads major research programs funded by Ericsson , VINNOVA , and EUREKA EURIPIDES2 , addressing challenges in beamforming , antenna-IC integration , and automated design for 5G/6G . These projects highlight her role in advancing millimeter-wave communication and sensor integration technologies.

Johan ErikssonView profile

Associate Professor

• Digital Art History
• Visual Communication
• Renaissance Art
• +7 more

Johan Eriksson is an Associate Professor and Senior Lecturer at Uppsala University's Department of Art History, serving as Head of Department and Program Manager for the Master's Program in Digital Art Studies. His work integrates traditional art historical scholarship with cutting-edge digital methodologies, focusing on cultural heritage reconstruction and virtual museum development. His research spans digital art history , visual communication , and Renaissance studies , with specialized expertise in Italian and Japanese art traditions. Eriksson pioneers digital pedagogy through projects like The Digital Seminar 2.0 , examining how virtual reconstructions of historical sites (e.g., Royal Palace Stockholm) transform art historical methodology and public engagement with cultural heritage. His scholarship reveals strong interdisciplinary connections between art history, computer science, and urban studies. Eriksson's publication trends demonstrate consistent focus on virtual museum development as both research tool and preservation strategy, with growing emphasis on cross-cultural exchange (particularly Sweden-Japan collaborations) and sustainable heritage tourism. His work bridges technical innovation with deep art historical analysis, notably in reconstructing historical display contexts and examining visual rhetoric in Renaissance courts. No scientific awards are documented in the provided materials. As Program Manager for the Master's Program in Digital Art Studies and Chair of JSPS SAC, Eriksson actively mentors graduate students while securing research funding for major projects including The Virtual Museum and Visual Communication in Early Modern Japan . His grant portfolio reflects strong institutional support for digital humanities initiatives at Uppsala University. Through leadership of JSPS SAC and project teams like Renaissance Rooms , Eriksson coordinates international research networks focused on digital reconstruction methodologies. His current initiatives emphasize collaborative development of virtual environments that integrate art historical research with immersive technologies for both scholarly and public applications.