Find Academic Supervisors

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.

Anna DanielssonView profile

Professor

• Science Education
• Gender Studies
• Identity in Education
• +3 more

Anna Danielsson is a Professor of Science Education at Stockholm University's Department of Teaching and Learning, where she also serves as head of the science education section. Her academic career spans prestigious institutions including Uppsala University, King's College London, and the University of Cambridge, with her current research focusing on equity and inclusion in science education contexts. Professor Danielsson earned her PhD in physics education research from Uppsala University in 2009. Her educational journey includes a two-year postdoctoral fellowship at the University of Cambridge's Faculty of Education, followed by positions as senior lecturer at Uppsala University and Reader in Science Education at King's College London during 2016/17. She was promoted to Professor in Curriculum Studies at Uppsala University in January 2018 before joining Stockholm University. Her research program centers on critical examinations of gender, identity, and power dynamics in science and technology education. As leader of the Science Education Equity research group, she investigates inclusion-exclusion patterns and participation barriers for minoritized learners in science, with particular emphasis on physical sciences. Her work employs innovative narrative and discourse methodologies to explore how students construct identities within science learning contexts. Analysis of her recent publications reveals a sustained focus on identity construction in physics education, particularly examining how underrepresented students navigate disciplinary spaces. Her scholarship bridges theoretical frameworks from post-structuralism, cultural studies, and critical discourse analysis with empirical research in both formal and informal learning environments. A notable trend is her increasing attention to mathematics education and cross-disciplinary identity formation, as evidenced by her 2025 work on mathematics capital. Principal Investigator for 'In(ex)clusion in higher education mathematics and physics: Identity enactment in educational trajectories and scientific practices' Lead researcher on 'The unlikely scientists: Exploring what has enabled students from under-represented groups to continue to higher education science studies' (Swedish Research Council, 2019-2023) Collaborator on multiple Swedish Research Council-funded projects examining identity, gender, and equity in STEM pathways Professor Danielsson directs the Science Education Equity research group, which creates interdisciplinary spaces for examining how marginalized learners engage with science education. The group's work combines theoretical innovation with practical implications for creating more inclusive science classrooms and curricula, particularly focusing on how physical sciences can become more accessible to diverse student populations.

Malin BrobergView profile

Professor

• Developmental Psychology
• Disability Studies
• Family Welfare Systems
• +6 more

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).

Karin SjödinView profile

Academic

• Environmental Education
• Outdoor Education
• Physical Education Curriculum
• +3 more

Karin Sjödin is a University Lecturer in Physical Education at Örebro University's Department of Health Sciences, School of Health Sciences. She is also a doctoral student at the Graduate School of Physical Education for Teacher Educators and serves as Program Manager for the Physical Education Teacher Education Program. Her research focuses on human-nature relationships, particularly in educational contexts, including outdoor life in teacher training and environmental moral learning. Research affiliations include the ESERGO - Environmental and Sustainability Education Research Group and the ReShape - Social Science Sports Research Group. She teaches courses in sports didactics, outdoor activities, and orienteering. Current research projects explore holistic assessment in school physical education and moral relations in nature encounters. Completed projects include studies on nature encounters and environmental moral learning. Publications span peer-reviewed journals, book chapters, and academic summaries, emphasizing friluftsliv (Scandinavian outdoor life) in education and nature-based pedagogy. Her work bridges environmental didactics, ethics, and physical education practices.

• Control Theory
• Distributed Control
• Networked Systems
• +12 more

Emma Tegling is a Senior Lecturer (Associate Professor) at the Department of Automatic Control, Faculty of Engineering (LTH), Lund University, Sweden. She joined the department in January 2021 and holds a prestigious WASP (Wallenberg AI, Autonomous Systems and Software Program) professorship. Her research focuses on the analysis and control of large-scale networked systems, with applications in distributed electric power networks and socio-epidemiological networks. She is actively involved in multiple research projects, supervises several PhD students, and contributes to major academic events in control theory. Education: Ph.D. in Electrical Engineering, KTH Royal Institute of Technology (2019) M.Sc. in Engineering Physics, KTH Royal Institute of Technology (2013) B.Sc. in Engineering Physics, KTH Royal Institute of Technology (2011) Emma Tegling's research centers on the fundamental limitations of distributed control, particularly in large-scale and non-normal network systems. Her work addresses critical challenges in vehicular formations, power grids, and social networks. She develops scalable control designs, consensus protocols, and optimal control strategies for complex networked environments. Her recent publications highlight breakthroughs in string stability, transient performance, and distributed optimization. The trend in her articles shows a strong focus on mathematical control theory, network dynamics, and real-world applications in socio-technical systems. Scientific Awards: WASP professorship (Wallenberg AI, Autonomous Systems and Software Program) Emma Tegling leads and co-leads several significant research grants, including WASP NEST: Learning in Networks and Dynamics of Complex Socio-Technological Network Systems. She actively supervises PhD students such as Jonas Hansson and David Ohlin, whose work has led to novel consensus protocols and optimal control formulations. Her academic leadership extends to organizing the European Control Conference and co-organizing interdisciplinary workshops on power and democracy in modern societies. She is also involved in public engagement and academic service through supervision and project coordination. Emma Tegling is a key member of the Department of Automatic Control at Lund University, contributing to research teams focused on networked systems, control theory, and AI integration. She collaborates extensively within ELLIIT (the Linköping-Lund initiative on IT and mobile communication) and participates in cross-disciplinary labs working on AI, digitalization, and natural/artificial cognition. Her work is aligned with UN Sustainable Development Goals related to sustainable energy and resilient infrastructure.

• Tourism Studies
• Event Management
• Indigenous Tourism
• +4 more

Robert Pettersson serves as an Associate Professor and Researcher at Mid Sweden University, affiliated with the Department of Economics, Geography, Law and Tourism (EJT) and the European Tourism Research Institute (ETOUR) in Östersund. His academic career spans over two decades with significant contributions to tourism studies, particularly in indigenous tourism, event management, and outdoor recreation. Pettersson's work bridges theoretical research with practical policy applications, focusing on sustainable development in northern contexts. His research centers on indigenous cultural tourism , where he has pioneered studies on Sami festivals and heritage in northern Sweden; event management , with expertise in hallmark events, social impact assessment, and evaluation frameworks; and outdoor recreation , examining environmental sustainability and social integration through sports and nature-based activities. Pettersson employs innovative spatial analysis techniques including GPS tracking to study tourist mobility and behavior, contributing methodological advancements to the field. His work consistently addresses the tension between cultural preservation and tourism development. Analysis of Pettersson's publication trajectory reveals an evolution from foundational research on Sami tourism (early 2000s) to contemporary studies on event portfolios, non-use value, and immigrant integration through outdoor activities. Recent work emphasizes holistic evaluation tools addressing social, environmental, and economic dimensions of events. This progression demonstrates his responsiveness to emerging challenges in sustainable tourism while maintaining focus on marginalized communities and northern regional development. No specific scientific awards are documented in the provided information. However, Pettersson's leadership in major research projects and extensive publication record in high-impact journals like Journal of Policy Research in Tourism, Leisure and Events and Scandinavian Journal of Hospitality and Tourism underscores his scholarly impact. His co-authored review on event evaluation (2015) remains a seminal reference in the field. Pettersson actively contributes to applied research through projects including Mistra Sport and Outdoors and Östersund CCI (Place development through cultural and creative industries). He has produced practical guides on event evaluation covering social effects (2024), environmental impacts (2023), and tourism economics (2023), translating academic insights into tools for event organizers and policymakers. His collaborative work with organizations like the Nordic Symposium in Hospitality and Tourism demonstrates commitment to knowledge exchange. As a core member of ETOUR, Pettersson participates in a multidisciplinary research environment focused on tourism's role in northern societies. The institute facilitates collaboration between tourism, geography, economics, and law scholars to address complex regional challenges including sustainable resource management and community well-being. Pettersson's ongoing projects continue to explore how events and outdoor activities can drive inclusive regional development.

• Artificial Intelligence
• Natural Language Processing
• Machine Learning
• +4 more

Zenun Kastrati is an Associate Professor at the Department of Informatics, Linnaeus University. His research focuses on Artificial Intelligence, Natural Language Processing, Machine Learning, Semantic Web, Sentiment Analysis, and Learning Technologies. He contributes to the Data-driven Business Innovation (DBI) and Interaction Design Research Groups, leading projects like Forest 4.0, RAPID, and IGNITE. His recent work involves Explainable AI, medical imaging, and multilingual NLP. Ph.D. in Computer Science (NTNU, 2018) Master's in Computer Science (EU TEMPUS Programme) Previous Lecturer/Researcher at University of Prishtina His research spans AI applications in medical diagnostics , NLP , sentiment analysis , and semantic technologies . Key projects include Forest 4.0 (environment monitoring) and RAPID (online education in Pakistan). Publications highlight his expertise in deep learning , transformer models , and context-aware systems . Recent publications demonstrate trends in Explainable AI (XAI) for healthcare, medical imaging techniques, and multilingual NLP frameworks. Other work explores social media analytics , student feedback analysis , and pedagogical document classification . Zenun's teaching includes Fundamentals of Programming , Object-Oriented Programming , Web Applications , Data Analytics , and Adaptive Web courses at BSc and MSc levels.

Gurjot SinghView profile

Research Fellow

• Cybersecurity
• Aviation Network Security
• Secure Communications
• +3 more

Gurjot Singh is a Research Fellow at the Department of Computer and Information Science (IDA) at Linköping University, Sweden. His research focuses on cybersecurity in aviation systems, next-generation communication networks, and industrial IoT security. He collaborates with prominent researchers like Andrei Gurtov and Suleman Khan, contributing to projects such as SEC-AIRSPACE and Post Quantum Secure Handover Mechanisms. His work spans vulnerability assessments, secure protocol design, and post-quantum cryptography applications. Education details are not explicitly stated, but his research aligns with advanced cybersecurity and network engineering domains. Key research interests include aviation cyber risk assessment, secure data link communications, and privacy-preserving authentication mechanisms for IoT and industrial environments. Publications emphasize cybersecurity challenges in aviation, industrial networks, and IoT, with recent work addressing quantum-resistant protocols and drone remote identification security. Collaborations include contributions to conferences like NordSec and AIAA DATC. He is affiliated with the cybersecurity lab at LiU, supporting educational programs like Digital4Business, which integrates AI and cybersecurity expertise. His role in the Database and Information Techniques (ADIT) division highlights involvement in interdisciplinary research groups.

Jalal NouriView profile

Professor

• Technology-Enhanced Learning
• Learning Analytics
• Artificial Intelligence for Education
• +4 more

Jalal Nouri is a Professor at the Department of Computer and Systems Sciences (DSV) , Stockholm University . He coordinates the Learning Analytics and AI for Education Group , focusing on data-driven methods to enhance education and AI applications in educational contexts. Research Interests: Learning Analytics, Artificial Intelligence for Education, Programming Education (Computational Thinking), Mixed Reality Environments for Learning, 21st Century Skills Contact: Email jalal@dsv.su.se | Phone 08-674 78 11

• Robotics
• Human-Robot Interaction
• Machine Learning
• +7 more

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.

Monowar BhuyanView profile

Associate Professor

• Machine Learning
• Anomaly Detection
• Systems and AI Security
• +6 more

Monowar Bhuyan is an Associate Professor in the Department of Computing Science at Umeå University, Sweden, leading the Cyber Analytics and Learning Group within ADSLab. He holds a Ph.D. in Computer Science from Tezpur University and has held academic positions at Assam Kaziranga University and Umeå University. His research focuses on machine learning, anomaly detection, edge AI, and distributed systems security. He has secured over 35 MSEK in grants from WASP, STINT, and EU Horizon programs. Education Ph.D. in Computer Science and Engineering, Tezpur University (2014) M.Tech. in Information Technology, Tezpur University (2009) B.E. in Computer Science and Engineering, IETE (2007) Research Interests Distributed/Federated/Responsible Machine Learning Cybersecurity and Anomaly Detection in Edge Clouds AI for DDoS Defense and Cyber Resilience Edge AI and Serverless Computing Recent Contributions His recent work addresses secure federated learning, DDoS attack detection in cloud-edge systems, and responsible AI. Key publications include novel frameworks for VSI-DDoS detection and federated learning optimizations. Awards & Grants Best Paper Awards at ICONIP 2023 and ACM ICACCI 2012 WASP NEST Grant (AIR2 Project, 5 MSEK) EU Horizon Europe Grant (SovereignEdge.Cognit, 8.27 MSEK) Lab & Collaborations He leads the Cyber Analytics and Learning Group (ADSlab), collaborating with institutions like KTH, Linköping University, and Nara Institute of Science and Technology (NAIST). The lab focuses on AI-driven security solutions for distributed systems.

Anna GautierView profile

Assistant Professor

• Multi-Agent Systems
• Robotics
• Artificial Intelligence
• +3 more

Anna Gautier is an Assistant Professor in the Department of Computer Science at Chalmers University of Technology, affiliated with the Division of Data Science and AI. Previously, she was a Digital Futures Postdoctoral Fellow at KTH Royal Institute of Technology (2023–2025), focusing on mechanism design for multi-robot systems. Her research emphasizes planning under uncertainty, multi-agent systems, and human-robot interaction. She holds a PhD from the University of Oxford (2023), an MSc from the London School of Economics, and dual undergraduate degrees from Washington University in St. Louis. Education Background: PhD in Computer Science, University of Oxford (2023) MSc in Applied Mathematics, London School of Economics BA in Mathematics and BS in Computer Science, Washington University in St. Louis Research Interests: Dr. Gautier explores planning algorithms for multi-agent systems, particularly in uncertain environments. She designs mechanisms to coordinate robots and humans, leveraging game theory and formal methods. Her work addresses challenges like resource allocation, risk-aware decision-making, and trust in autonomous systems. Recent projects include contingency planning for autonomous vehicles and auction-based resource distribution. Professional Activities: She co-chairs the ECAI 2025 Demonstration Track and teaches the course Safe Robot Planning and Control at KTH. Her projects include collaborations with WASP-Nest (PerCorSo) and TECoSA on trustworthy autonomy. She actively publishes in top venues like AAMAS and AAAI. Labs and Teams: Affiliated with Chalmers' Data Science and AI division, she leads research in multi-agent systems and human-AI collaboration.

• Control Systems
• Electric Vehicles
• Hybrid Electric Vehicles
• +4 more

Nikolce Murgovski is an Assistant Professor at Chalmers University of Technology, specializing in Mechatronics . He focuses on electric and hybrid vehicle energy management , autonomous driving systems , and optimization algorithms for powertrain design. His work bridges control theory , battery technology , and transport electrification . Current projects include CHARGE (2023–2026) for charging and trip planning , and EcoPilot (2022–2026) for energy-efficient autopilot development. Collaborates with institutions like Volvo Cars , Swedish Electromobility Centre , and VINNOVA on autonomous vehicle control and thermal energy systems . His recent publications emphasize convex optimization , eco-driving strategies , and collision avoidance in complex environments. He has contributed to tools like CONES for electromobility studies and has led research on hybrid powertrains and predictive energy management .

• AI
• Digitalisation
• Higher education
• +9 more

Jimmy Jaldemark is a Professor at the Department of Education, Mid Sweden University, Sundsvall, Sweden. He serves as Research Leader of HEEL (Higher Education and E-Learning) and Head of Subject for the Discipline of Education. His roles include membership in the Faculty Board of Humanities and representation in the university-wide Education Council. He co-founded GRADE, a national graduate school in digital education, and leads the EARLI Centre for Excellence in AI in Learning and Instruction (AILI). His research focuses on AI, digitalization, lifelong learning, and networked learning. He co-edited *Networked Professional Learning* (2019) and guest-edited special issues in the *British Journal of Educational Technology*. He is an editor for that journal and serves on editorial boards for *Educational Research Review*, *Postdigital Science and Education*, and others. He supervises doctoral students and teaches in Behavioral Science and Education programs. Current projects include HEaD (Higher Education and Digitization) and BLAD (Need-based Learning through Adapted Participation). He collaborates internationally, notably in the AILI network exploring AI's educational impacts. His work spans educational development, organizational learning, and policy frameworks for lifelong learning in the digital era.

Rodrigo Fernandez GonzaloView profile

Associate Professor

• Physiology
• Skeletal Muscle Physiology
• Space Physiology
• +6 more

Rodrigo Fernandez Gonzalo is a Docent (Associate Professor) in Physiology and Principal Researcher at the Division of Clinical Physiology, Department of Laboratory Medicine, Karolinska Institutet. He leads the Space and Environmental Physiology research group focusing on skeletal muscle adaptation under various conditions including microgravity, aging, disease, and exercise. His research interests span skeletal muscle physiology, space physiology, and environmental physiology, with particular expertise in how skeletal muscle interacts with other physiological systems. His work employs diverse methodologies including human clinical studies, animal models, and cellular models to investigate functional, metabolic, morphological, molecular, and neural adaptations. Analysis of his recent publications reveals a strong focus on space physiology applications, particularly how microgravity affects skeletal muscle and immune systems, along with translational applications for clinical populations like those with cerebral palsy. His research integrates molecular analysis, imaging techniques, and physical performance outcomes to develop countermeasures for spaceflight effects. 4.5 MSEK funding from the Swedish National Space Agency (2020) Member of European Space Agency's Life Science Working Group (2022-2026) Member of Space Researchers Sweden (2021-) Dr. Fernandez Gonzalo serves as course responsible for Anatomy and Physiology in the nursing program (since 2018) and Advanced Human Physiology Research in the Master's programme in Translational Physiology and Pharmacology (since 2023). He also teaches Human Spaceflight at KTH and participates in the Erasmus Mundus Joint Master in Physiology and Medicine of Humans in Space and Extreme Environments. His laboratory utilizes facilities at Karolinska University Hospital and ANA Futura for human, animal, and cellular studies investigating space exposome effects.