Find Academic Supervisors

• Elderly Health
• Well-being in Long-Term Health Problems
• Digital Health Interventions
• +3 more

Cecilia Åberg is a Senior Lecturer in Nursing at the School of Health Sciences, University of Skövde. She serves as program coordinator for the Nursing Program and is actively involved in teaching at both basic and advanced levels. Her research focuses on elderly health and well-being, particularly within the DHEAR research environment and the "Välbefinnande vid långvariga hälsoproblem" research group. Research Interests: Åberg specializes in person-centered care for the elderly, digital health interventions to combat existential loneliness, and reflective dialogue techniques to enhance meaning-making in long-term health problems. Her work integrates technology like the egenKRAFT app to support self-reflection and existential conversations. Recent Article Trends: Her 2024 publications emphasize digital tools for elderly engagement, reducing involuntary loneliness, and technology-assisted care delivery. Earlier works (2022–2015) explore qualitative experiences of digital interventions, existential dialogues, and clinical education methods. Projects: Åberg leads the ongoing DigiKRAFT project (2023–2028), which promotes healthy aging through structured existential conversations. Her doctoral research (2022) focused on reflective STRENGTH-giving dialogues for elderly with long-term health issues.

Annika AnderssonView profile

Associate Professor

• Project Management
• Pedagogical Models
• ERP Systems
• +3 more

Annika Andersson is an Associate Professor in Business Administration at Umeå School of Business, Economics and Statistics (USBE), Umeå University. Her expertise spans Project Management and pedagogical innovation, particularly in ERP systems education. She coordinates ERP-related curricula and serves as a work environment representative. Education: Distinguished University Teacher qualification. Research Focus: Examines organizational challenges in ERP project implementation, interorganizational collaboration barriers, and effective teaching methodologies for integrating ERP systems with business knowledge. Her work emphasizes practical applications of project management theories in real-world contexts. Key Contributions: Published extensively on ERP system integration challenges, pedagogical models for technology education, and project lifecycle management. Recognized as an excellent teacher for innovative instructional approaches. Awards: Distinguished University Teacher Appointed Excellent Teacher Advising & Grants: Leads ERP education coordination but no student advisees listed. No specific grants mentioned in provided texts.

Erik FriskView profile

Professor

• Fault Diagnosis
• Vehicle Control Systems
• Autonomous Vehicles
• +2 more

Erik Frisk is a Professor and Deputy Head of Department at Linköping University's Department of Electrical Engineering (ISY), where he also serves as Head of the Vehicular Systems division. This division operates under the Wallenberg Autonomous Systems Program (WASP) and focuses on control, diagnosis, and supervision of vehicle functions. His research spans fault diagnosis, vehicle control systems, autonomous vehicles, electric vehicle routing, and vehicle dynamics. Key projects include route planning for heavy-duty electric vehicles developed with Scania and Ragn-Sells, and the Fault Diagnosis Toolbox—a Matlab-based platform for analyzing and designing fault diagnosis systems for dynamical systems. Analysis of his 2024-2025 publications reveals a concentrated effort on robust motion planning under uncertainty, predictive control for autonomous vehicles, and naturalistic driving data analysis for heavy vehicle performance. His work consistently bridges theoretical control systems with practical applications in electrified and autonomous transportation. Frisk leads a multidisciplinary research team within the Vehicular Systems division, fostering academic-industrial collaborations that advance vehicle technology through real-world problem solving and innovation.

Lena LåstadView profile

Senior Lecturer

• Job insecurity
• Organizational learning
• Workplace learning
• +5 more

Lena Låstad is a Senior Lecturer at Stockholm University's Department of Education, specializing in organizational pedagogy and workplace learning. She coordinates the Bachelor's and Master's programmes in Personnel, Work and Organization, and serves as a thesis supervisor across academic levels. Her research focuses on job insecurity, flexible labor markets, and their impacts on employee well-being and career development. Research Group: Organization Pedagogics Projects: NOWSTARS (Forte-funded), Gendersafe Teaching: Research methods, organizational pedagogy, internship-based human resource management Her research examines job insecurity from multiple angles, including: Quantitative and qualitative job insecurity climate Career strategies of temporary agency workers Work-home interference patterns Health outcomes and psychotropic drug usage Leadership dynamics under insecure climates Recent publications highlight her work on job insecurity's associations with: Career-related outcomes (2025 meta-analysis) Employee performance metrics (2019 study) Workgroup climate effects (2018-2023 investigations) Psychological well-being (2020-2021 findings) As a program coordinator, she manages curriculum development for both bachelor's and master's level organizational pedagogy programs. Her work environment expertise includes workplace learning and professional development strategies for enhancing employee employability.

Carl-Johan CarlhällView profile

Professor

• Cardiovascular Medicine
• Medical Imaging Science
• Cardiac Hemodynamics
• +4 more

Carl-Johan Carlhäll serves as Professor and Head of Department of Cardiovascular Medicine at Linköping University's Department of Health, Medicine and Care within the Medical Faculty. His institutional affiliations include the Department of Diagnostics and Specialist Medicine (DISP) and the Cardiovascular Sciences Unit (KAV), where he leads the interdisciplinary Cardiovascular Imaging and Modeling (CIM) research cluster focused on advancing understanding of the cardiovascular system through novel imaging-based methods. Professor Carlhäll's research spans cardiovascular imaging science with particular emphasis on 4D flow MRI techniques, cardiac hemodynamics, and AI applications in medical image analysis. His work bridges engineering methodologies from automotive industries with clinical cardiology to simulate heart function and analyze blood flow dynamics. The research cluster he leads develops and applies new imaging-based methods for assessing cardiac function, hemodynamics, and tissue characterization in both health and disease states. Analysis of his recent publications reveals a strong trend toward integrating artificial intelligence with cardiovascular magnetic resonance imaging, particularly in segmentation of cardiac structures, analysis of blood flow turbulence, and assessment of tissue characteristics. His work increasingly focuses on computational modeling of cardiac function and hemodynamics, with applications in valvular heart disease, atrial fibrillation, and metabolic conditions like type 2 diabetes. Scientific recognition includes: 9.3 million SEK project grant from the Swedish Heart and Lung Foundation (2020) Development of lightning-fast cardiac examination methods using CT scanner images to simulate individual patient heart function Professor Carlhäll's research group has secured significant funding for heart and lung research, developing innovative approaches that translate engineering methods to clinical cardiology. His team collaborates extensively within the Center for Medical Image Science and Visualization (CMIV), leveraging interdisciplinary expertise to advance cardiovascular diagnostics and treatment planning through sophisticated imaging and modeling techniques. The Cardiovascular Imaging and Modeling (CIM) research cluster under his leadership represents a significant interdisciplinary effort at Linköping University, bringing together medical, engineering, and computational expertise to solve complex problems in cardiovascular medicine through advanced imaging technologies and computational modeling approaches.

• Electric Vehicle Engineering
• Battery System Design
• Autonomous Vehicle Optimization
• +5 more

Jelena Andric is an Associate Professor in the Vehicle Engineering and Autonomous Systems department at Chalmers University of Technology, working within the Mechanics and Maritime Sciences school. Her research spans multiple aspects of vehicle engineering with a particular focus on electric and autonomous vehicle technologies. Her research interests primarily center around electric vehicle engineering, battery system design, autonomous vehicle optimization, thermal management systems, computational fluid dynamics, reinforcement learning applications, and hardware-in-the-loop simulation. She has developed expertise in applying advanced computational methods to solve complex vehicle engineering problems, particularly in the areas of battery management and energy optimization. Analysis of her recent publications reveals a strong trend toward optimizing electric vehicle performance, particularly focusing on battery degradation mitigation, thermal management, and energy efficiency. Her work increasingly incorporates artificial intelligence techniques, especially reinforcement learning, to develop sophisticated optimization approaches for electric trucks and autonomous vehicles. The research spans from fundamental fluid dynamics studies to applied engineering solutions for real-world transportation challenges. Dr. Andric has been actively involved in numerous research projects funded by organizations including VINNOVA, the Swedish Energy Agency, CHAIR, and ÅForsk. These projects cover diverse areas such as battery aging prediction, vehicle management strategies for electrified vehicles, electric public transit systems, and virtual engine calibration. Her current research portfolio includes leadership in projects related to simulation-based evaluation of connected vehicles, battery aging prediction for electric autonomous vehicles, AI-cloud-based vehicle management strategies, and transition to electric public transit systems. These projects demonstrate her commitment to addressing critical challenges in sustainable transportation through advanced engineering solutions.

• Educational Development
• Health Professions Education
• Problem-Based Learning
• +4 more

Gunilla Amnér serves as an Educational Developer, Deputy Director, and Lecturer at the Centre for Teaching and Learning within the Faculty of Medicine at Lund University. Her roles encompass educational development, faculty training, and teaching, with a focus on enhancing pedagogical practices in health professions education. Her research interests include: Educational development in health sciences Problem-based learning (PBL) and team-based learning (TBL) E-learning and digital literacy for health professions Mental health education in occupational therapy Student experiences and curriculum design Integration of technology in clinical education Recent publications (2018) focus on the application of blended learning approaches in occupational therapy and mental health education. Her work demonstrates a commitment to evidence-based pedagogy and the improvement of educational outcomes for health professions students through literature reviews and empirical studies on learning methodologies. No scientific awards are mentioned in the available information. While specific details about advisees are not provided, her role as a lecturer and educational developer suggests mentorship of students and faculty. No research grants are explicitly referenced in the given text, though her organizational role in the 2024 Pedagogical Development Conference indicates institutional funding for academic initiatives. Amnér is an integral member of the Centre for Teaching and Learning, contributing to faculty development programs and educational strategy. Her co-organization of the Lund University Pedagogical Development Conference in November 2024 reflects ongoing leadership in advancing teaching methodologies across the institution.

• Machine Learning Theory
• Statistical Physics
• Neuroscience
• +5 more

Stefano Sarao Mannelli is a tenure-track Assistant Professor in the Department of Computer Science and Engineering at Chalmers University of Technology and University of Gothenburg. He also holds a Visiting Lecturer position at the University of the Witwatersrand. His research group focuses on fundamental aspects of learning in biological and artificial systems, with emphasis on bias generation, optimization dynamics, and comparative neuroscience. Education: Ph.D. in Theoretical Physics, Université Paris-Saclay (2020) M.Sc. in Electronic Engineering, Politecnico di Torino (2017) M.Sc. in Physics of Complex Systems, Politecnico di Torino/SISSA (2016) M2 in Physique Théorique, Paris Diderot/UPMC/ENS Cachan (2016) B.Sc. in Mathematics for Engineering, Politecnico di Torino (2014) Research: Dr. Mannelli develops model-based approaches to reduce complex machine learning problems into analytically tractable frameworks. His core interests include: 1) Bias amplification mechanisms in AI systems, 2) Learning differences between biological and artificial neural networks (continual/transfer/curriculum learning), and 3) Optimization in high-dimensional landscapes. His work bridges statistical physics, neuroscience, and deep learning theory. Publication Trends: Recent articles (2024-2025) predominantly analyze curriculum learning dynamics, bias propagation in optimization, and theoretical comparisons between biological and artificial learning systems. Methodologically, they combine statistical physics frameworks with control theory and high-dimensional analysis. Awards: Academic Grant (CM Lerici Foundation, 2025) Travel Grants (Guarantor of Brains, G-Research 2024) UK–IT Trustworthy AI Exchange Programme (Alan Turing Institute, 2023) SCGB Conference Award (Simons Foundation, 2023) Ph.D. Scholarship (CEA, 2017-2020) Team & Funding: Leads a research group with 2 PhD students and 1 postdoc. Secured significant funding for international workshops including Analytical Connectionism (£42K, 2023; $152K, 2024) and High-Dimensional Methods (135,500 SEK, 2025).

Christiane SchmidtView profile

Academic

• Algorithm Design and Analysis
• Computational Geometry
• Air Traffic Management
• +3 more

Christiane Schmidt is a Senior Associate Professor at Linköping University's Department of Science and Technology (ITN), affiliated with the Communications and Transport Systems (KTS) research group. Her work focuses on algorithm design, air traffic management, railway optimization, and computational geometry. She contributes to both academic research and practical solutions for transportation systems. Education and Research: While specific educational details are not provided, her research emphasizes algorithmic solutions for complex transportation challenges. Her team develops models for air traffic controller workload prediction using machine learning and explores late train-crew rescheduling via heuristic approaches. Research Interests: Key areas include railway traffic optimization, air traffic management systems, and computational geometry applications. Recent projects involve guard route optimization for polygons, multi-agent path planning, and automated aircraft arrival scheduling. Publications: Her 2025 work highlights advancements in tabu-search-based scheduling, machine learning for air traffic analysis, and train path insertion methods. Earlier papers address workforce scheduling and disaster recovery in transportation networks. Labs and Teams: Active within the Communications and Transport Systems group, she collaborates on projects like the Flight Logistics Unit (FL) and contributes to initiatives like B-PREPARED for disaster preparedness.

Maria OlsonView profile

Professor

• Educational Policy
• Educational Theory
• Educational Philosophy
• +4 more

Maria Olson is a Professor of Subject Didactics at the Department of Subject Didactics, Stockholm University, with an active research profile focused on educational policy, theory, and philosophy with particular emphasis on citizenship and democracy education in school contexts. Her work spans national and supranational (EU) educational frameworks and connects theoretical perspectives with practical teaching applications. She earned her doctoral degree from Linköping University in 2008 with the thesis 'From nation builder to global market nomad: on citizenship in Swedish educational policy during the 1990s,' which examined evolving civic ideals in Swedish educational policy from the post-World War II period through the millennium. Her research primarily investigates the relationship between education, democracy, and citizenship, with special focus on civics subjects in schools, particularly social studies and religious studies. A significant contribution of her recent scholarship explores both agency dimensions (students' capacity for action in society) and existential dimensions (students' being and identity formation in societal contexts), drawing on philosophical frameworks including Hannah Arendt's educational thought. Analysis of her recent publications reveals a strong thematic focus on citizenship education and democracy learning in school contexts. Her work consistently bridges theoretical frameworks with practical teaching approaches, emphasizing evidence-based methods for fostering democratic values and civic engagement. A notable trend is her exploration of existential dimensions in subject teaching alongside traditional agency-focused approaches, suggesting a more holistic understanding of citizenship education. Her research also addresses contemporary challenges in multicultural classrooms and strategies for handling non-democratic values while strengthening students' independence and democratic participation. Maria Olson is actively involved in multiple research groups at Stockholm University, including DEMSOD (Democracy and citizenship in the teaching of civics subjects), the Network for Critical Cultural Heritage Studies, Religious Didactics and Religious Pedagogy, Social Studies Didactics, and Subject Didactics with Post-Theory. She currently leads research on existential aspects in subject teaching, specifically examining religious studies and psychology as school subjects with clear connections to identity and worldview questions that students experience as personally relevant. Her scholarly contributions have practical implications for teacher education and classroom practice, particularly in developing approaches to fulfilling schools' democracy mandates while respecting students' integrity and individual development.

• Leadership and Organizational Culture
• Total Quality Management
• Innovation
• +7 more

Kristen Snyder is a Professor at Mid Sweden University, affiliated with the Department of Communication, Quality Management and Information Systems (KKI). She serves as Program Coordinator for the Master's in Quality Management and Leadership and focuses on four core research areas: Leadership and Culture (LC), Total Quality Management Systems (QM), Innovation (I), and Quality Services (QS). PhD in Organizational Development (1997, University of South Florida) Specializes in bridging theory-practice gaps in organizational transformation Developed theories on leadership and change based on chaos/complexity theory Conducts cross-sector research in education, healthcare, and manufacturing Her research explores systemic quality development through projects like SIMPLY LEAN (value-based leadership models) and SQMA Measurement Index (collaboration with Chalmers University). She employs methodologies such as storytelling and appreciative inquiry to create sustainable leadership frameworks. Kristen's recent publications focus on educational transformation (2025), arts-based organizational interventions (2025), and preschool quality assurance (2024). Her work consistently emphasizes cross-cultural collaboration and digital innovation in quality management. At Mid Sweden University, she teaches doctoral courses in Scientific Philosophy, Ethics, and Research Writing, while supervising Master's theses in quality management. Her collaborations span public health initiatives and private sector innovation projects across Sweden and international contexts.

Jonas WestinView profile

Associate Professor

• Mathematical Modeling
• Transportation Economics
• Regional Science
• +3 more

Jonas Westin is an Associate Professor at the Department of Mathematics and Mathematical Statistics and a Research Fellow at the Centre for Regional Science (CERUM) at Umeå University. His research focuses on applying mathematical methods and models to address social science challenges, particularly in transportation, regional development, and environmental policy. He teaches courses in mathematical modeling and project courses for civil engineering students, and is recognized as a university teacher. His research interests include transportation economics, input-output analysis, and operations research, with a focus on optimizing freight networks, evaluating infrastructure policies, and modeling regional accessibility. He has contributed to projects analyzing sustainable aviation, maritime safety, and cross-border infrastructure planning in Northern Europe. Westin collaborates with institutions like Trafikverket (Swedish Transport Administration) and the Nordic countries’ transport networks. His work bridges theoretical mathematical modeling with practical policy analysis, emphasizing the implications of transport policies on regional competitiveness and environmental sustainability. Notable projects include the Botnia-Atlantica corridor analysis and studies on fossil-free regional aviation. Affiliations: Associate Professor, Department of Mathematics and Mathematical Statistics Research Fellow, CERUM (Centre for Regional Science) Key Research Themes: Transportation Network Optimization Regional Economic Impact Analysis Environmental Policy Modeling His recent publications highlight innovative approaches to freight modeling, maritime safety metrics, and cross-border infrastructure coordination. Westin’s interdisciplinary work reflects a commitment to addressing complex societal challenges through rigorous quantitative methods.

Peter DaleniusView profile

Lecturer

• Artificial Intelligence
• Computer Science Education
• Engineering Pedagogy
• +2 more

Peter Dalenius is a Lecturer at Linköping University (LiU), affiliated with the Department of Computer and Information Science (IDA) and the Artificial Intelligence and Integrated Computer Systems (AIICS) division. He is also part of the Didacticum center, focusing on pedagogical innovation in university education. His work bridges computer science and educational methodologies, emphasizing problem-solving approaches in engineering education. Education Background: Specific academic qualifications are not detailed in the provided text, though his role indicates advanced academic preparation in computer science and education. Research Interests: Dalenius explores how educational frameworks and problem-solving strategies enhance engineering students' learning experiences, particularly in technology-driven fields. His 2009 publication highlights student conceptions of engineering practices through collaborative problem-solving scenarios. Labs/Teams: Associated with the AIICS division and Didacticum, contributing to interdisciplinary projects in AI, computer systems, and pedagogical excellence.

Dominik DrexlerView profile

Research Fellow

• Artificial Intelligence
• Machine Learning
• Classical Planning
• +3 more

Dominik Drexler is a Research Fellow at Linköping University's Department of Computer and Information Science (IDA), part of the Artificial Intelligence and Integrated Computer Systems (AIICS) division. He completed his PhD at IDA in 2025, focusing on integrating learning and artificial intelligence planning to develop intelligent agents that exploit subgoal structures. His work bridges System 1 (learning-based) and System 2 (reasoning-based) approaches in AI, emphasizing hierarchical planning and policy reuse. He is a recipient of the 2024 Lawson Scholarship for excellence in international collaboration and the 2023 Optimal Planning Track Award at the International Planning Competition. **Education**: Bachelor's and Master's in Computer Science (specializing in AI) from the University of Freiburg, Germany. PhD in Computer Science at Linköping University (2025). **Research Focus**: Combining learning and classical planning to create agents that learn hierarchical policies and subgoal structures. Development of expressive policy languages and sketch-based methods for decomposing planning problems. Applications in autonomous systems and generalizable planning algorithms. **Contributions**: Open-source tools like DLPlan , Vanir , and Odin for state feature extraction and optimal planning. Active in international collaborations through the Wallenberg Autonomous Systems Program (WASP). **Teaching & Supervision**: Transitioning to expanded teaching and student supervision roles while continuing research. **Affiliations**: Member of the AIICS division and the Faculty of Science and Engineering at LiU.

Renee WeverView profile

Professor

• Sustainable Design
• Packaging Design
• Circular Economy
• +4 more

Renee Wever is a Professor of Industrial Design Engineering at Linköping University, Sweden, within the Department of Management and Engineering (IEI). Her research focuses on user-centered design for sustainability and circularity, alongside practices of design. She leads the Design research area, emphasizing packaging sustainability and systemic approaches to environmental challenges. Academically, she holds a PhD from Delft University of Technology (2009) and an MSc in Industrial Design Engineering (2003). She teaches in the PhD program in design, the international master’s program in design (MDES), and courses on design and product development. Her editorial roles include the Journal of Design Research and Packaging Technology and Science . Her work spans interdisciplinary collaboration, exploring topics like consumer behavior in packaging-free systems, design team dynamics, and circular design education. Notable contributions include frameworks for sustainable interventions and strategies for repurposing in circular economies. Renee actively engages in global academic networks, co-creating educational platforms and promoting innovation through storytelling and creative problem-solving. Her research often bridges theory and practice, addressing real-world challenges like food waste reduction and sustainable packaging solutions.