Lisa Sällvin is an Assistant Professor and Doctoral Student at Mid Sweden University’s Department of Communication, Quality Technology and Information Systems (KKI). She began her doctoral studies in February 2023, building on her prior experience as a lecturer and program manager since 2014. Her work emphasizes feminist perspectives in IT education, specifically addressing gender inclusivity and epistemological pluralism in learning environments. Her research explores: Inclusive pedagogical frameworks for underrepresented groups in IT Game-based learning to enhance computational thinking and coding engagement Gender equity strategies in STEM education Epistemological diversity in knowledge creation methodologies Her publications (2019–2024) predominantly analyze game-based learning tools, gender-inclusive design in computer science education, and teacher training for programming integration. Trends include a focus on escape rooms, learning analytics, and literature reviews on inclusive gaming. She collaborates with research groups: Software Engineering and Education (SEE), Higher Education and E-Learning (HEEL), and Forum for Digitalization (FODI). Projects include SPEDAT (computational thinking games) and Gaming4Coding.
Zoltan Szabo is an Adjunct Assistant Professor at Linköping University's Faculty of Medicine, affiliated with the Department of Health, Medicine and Care (HMV) and the Department of Diagnostics and Specialist Medicine (DISP). His research spans myocardial metabolism, augmented reality applications in cardiac surgery, and biomarker studies. His primary research interests include: Myocardial metabolism and protection during cardiac surgery Augmented Reality for visualizing heart surface temperature during surgery Ischemia-reperfusion injury and preconditioning Development of artificial heart pumps with pulsatile flow Biomarker dynamics in cardiac surgery Acute kidney injury following cardiac procedures Dr. Szabo pioneered the first global description of diabetic heart metabolism during coronary artery surgery and the application of high-dose glucose-insulin-potassium for myocardial protection. His augmented reality work represents a groundbreaking surgical application of this technology. His recent publications focus on biomarker dynamics, coronary revascularization outcomes in kidney disease patients, and artificial heart technology, demonstrating his interdisciplinary approach bridging clinical practice, engineering, and basic science. He collaborates extensively with researchers from Linköping University's Pharmacology Department, Thoracic Surgery, CMIV, and international partners in Szeged (Hungary) and Memphis (USA). Dr. Szabo is involved in key research projects: Development of artificial heart pumps with pulsatile flow Augmented Reality for real-time heart surface temperature visualization Ischemic preconditioning studies Kidney oxygenation research during heart-lung machine operation Levosimendan's protective effects on the heart
Per Carlbring is a Professor of Psychology at Stockholm University, specializing in clinical psychology. He is a licensed psychologist, psychotherapist, and specialist in clinical psychology. His research focuses on interventions for mental health in people with and without neurodiversity, including autism and ADHD, as well as mechanisms and neural correlates in the brain. He leads the Clinical Psychology, Neuroscience and Health research group at the Department of Psychology. Professor Carlbring has published over 350 scientific articles, with a strong emphasis on internet-based cognitive behavioral therapy, digital mental health interventions, and the application of new technologies like AI and virtual reality in psychological treatment. His recent work explores the intersection of technology and mental healthcare, with numerous 2025 publications examining innovative approaches to treating anxiety, depression, OCD, and ADHD. His research interests include clinical psychology, internet-based interventions, neurodiversity, autism, ADHD, virtual reality therapy, and AI applications in mental healthcare. He has led multiple significant research projects including ERiCA (internet-mediated psychodynamic therapy for adolescents with depression), ZeroOCD (smartphone-based OCD treatment using augmented reality), and studies on AI-delivered therapy for social anxiety. Professor Carlbring's work demonstrates a consistent focus on making evidence-based psychological treatments more accessible through digital platforms while maintaining therapeutic efficacy. His recent publications show increasing integration of artificial intelligence in mental health interventions, examining both its potential and ethical considerations. He has led numerous research projects including alcohol preventive measures in the workplace, Anna vs. Judith (comparing AI-delivered PDT and CBT for social anxiety), internet-based emotion recognition training for adolescents with autism, and stress management for working adults with ADHD. His work spans clinical trials, systematic reviews, and development of innovative digital therapeutic approaches.
Karl Meinke is a Professor at KTH Royal Institute of Technology, where he serves as Head of the Computer Science Department and Head of the Division of Theoretical Computer Science within the School of Electrical Engineering and Computer Science. His research focuses on applying machine learning techniques to software testing, particularly for safety-critical systems like autonomous vehicles and embedded systems. His research interests span machine learning, software testing, safety critical systems, embedded systems, autonomous driving, digital pathology, and graph neural networks. Meinke has developed innovative approaches like Learning-Based Testing that combine machine learning with formal methods for system validation. His work bridges theoretical computer science with practical applications in automotive systems and medical diagnostics. His recent publications show a strong trend toward applying graph neural networks to diverse domains including program analysis, digital pathology, and autonomous vehicle testing. His research demonstrates a consistent focus on solving the test oracle problem and generating meaningful test cases for complex systems where traditional testing approaches fall short. Meinke actively collaborates with Karolinska Institutet (KI), indicating interdisciplinary work between computer science and medical research. He is responsible for Masters level education in software testing at KTH and serves as examiner for several advanced courses including Degree Projects in Computer Science and Software Reliability. His research group has developed tools like LBTest for learning-based testing of reactive systems, and he has secured funding for projects such as the ITEA3 Testomat Project focused on next-level test automation. His work has significant implications for validating autonomous systems where safety is paramount. Meinke leads research in using machine learning to address fundamental challenges in software testing, particularly for systems where traditional test oracles are unavailable or impractical. His approach of combining active learning with formal specifications has created new pathways for validating complex cyber-physical systems.
Tomas McKelvey is a Full Professor and Deputy Head of the Department of Electrical Engineering at Chalmers University of Technology, where he leads the Signal Processing research group. He has been with Chalmers since 2000 and has held a full professor position in Signal Processing since 2006. Professor McKelvey received his Electrical Engineering education at Lund University between 1987 to 1991 and earned his PhD in Automatic Control at Linköping University in 1995. Between 1995 and 1999, he held research and teaching positions at Linköping University, where he became docent in 1999. He was a visiting researcher at the University of Newcastle, Australia between 1999 and 2000 before joining Chalmers University of Technology. Professor McKelvey's research spans multiple domains within signal processing and control systems. His primary interests include model-based signal processing, statistical signal processing, system identification, and automatic control. His work has significant applications across several fields including radar systems, biomedical engineering, power systems, and automotive propulsion. He has developed innovative methods for signal processing in challenging environments, particularly in radar and power systems applications, often bridging theoretical advances with practical implementation challenges. His recent publications demonstrate a strong trend toward integrating machine learning and deep learning approaches with traditional signal processing methods, particularly for applications in radar systems, power grid stability, and automotive control. His work shows increasing sophistication in handling non-stationary signals, developing efficient computational methods, and creating robust solutions for real-world engineering problems. Professor McKelvey has been actively involved in numerous research projects, as indicated by his extensive publication record spanning multiple disciplines. His leadership position as Deputy Head of Department reflects his significant standing within the academic community. His research group maintains strong connections with both academic and industrial partners, as evidenced by the applied nature of much of his work. The cross-disciplinary nature of his publications indicates collaborations across engineering fields and with medical researchers, particularly in the biomedical applications of microwave technology.
Abdel Seidouvy is a Senior Lecturer at Stockholm University within the Department of Teaching and Learning. His work focuses on mathematics teacher education and pedagogical development. Research groups: LUGN – Mathematics Teacher Education-group MaRCU: Mathematical Reasoning and Conceptual Understanding Professional Development in Work-Based Teacher Education Key research areas: Mathematics education, teacher training, problem-solving pedagogy, and professional growth during practical training Contact: abdel.seidouvy@su.se
Henrik Hansson is a Professor of Computer and Systems Sciences at Stockholm University, a position he has held since 2019 after serving as an Associate Professor in the same department from 2009 to 2019. He is affiliated with the Department of Computer and Systems Sciences and is actively involved in two research groups: Distributed Immersive Participation and the Learning Analytics and AI for Education Group. His educational background includes a PhD in Educational Sciences and Audiology from Stockholm University and Karolinska Institutet (1993), a Bachelor's degree in Social Sciences from Stockholm University (1989), and qualification as an Audiologist from the University College of Health Sciences in Gothenburg (1987). Hansson's research focuses on the intersection of technology and learning, with particular interests in technology-enhanced learning, capacity-building, digital transformation and sustainability, e-Health, e-Learning, culture and digitalization, and AI. He is driven by a vision of how technology can create innovative solutions that promote digital inclusion and support sustainable development globally. His current research emphasizes capacity-building for Ukrainian universities through the U-Train project and CPR technology using sensor-based devices. His recent publications demonstrate a strong focus on educational challenges during wartime, particularly in Ukraine, as well as innovations in healthcare technology. These works reflect his commitment to addressing real-world problems through technology, with emphasis on resilience, accessibility, and practical implementation in crisis situations. Hansson has supervised 12 PhD students and mentored over 300 bachelor's and master's students throughout his career. On average, he supervises around 50 master's and bachelor's students each year, often connecting their thesis work with research projects and real-world problems. His collaborations span diverse sectors including companies like Ericsson and PostNord, public institutions such as schools and museums, and international partners across Ukraine, Sri Lanka, Uganda, Rwanda, Bangladesh, Greece, Bulgaria, Spain, Moldova, Romania, Finland, Myanmar, Zimbabwe, South Africa, England, and Peru. He has led and managed 16 large-scale international research and development projects funded by organizations including the EU, Sida (Swedish International Development Cooperation Agency), the Swedish Institute, and the Inter-American Development Bank. These projects have taken him across Europe, Asia, Africa, and Latin America, with specific initiatives focusing on ICT and education, diaspora entrepreneurship, and medical language support tools.
Johan Sandahl is a Professor and Assistant Head of Department at Stockholm University’s Department of Teaching and Learning. He serves as Director of Research Studies in humanities, social sciences, and aesthetics education, with a focus on social science and geography education. His work bridges disciplinary knowledge and life-world perspectives, emphasizing citizenship education through projects like the Swedish Research Council-funded Social Science Education on Trust for an Active and Critical Citizenship . He co-edits the leading journal Journal of Social Science Education (JSSE) and leads the collaborative research initiative Stockholm Teaching and Learning Studies (STLS) . Academic Roles: Professor (2024), Associate Professor (2021), Assistant Head of Department, Director of Research Studies. Research Themes: Citizenship education, political polarization, financial literacy, climate change pedagogy, and interdisciplinary teaching development. Collaborations: Works with international researchers, schools in Stockholm, and contributes to curriculum reforms. His recent publications analyze civic narrative competence, trust in democracy, financial literacy’s societal implications, and geographical reasoning on migration. Though no formal awards are listed in the text, his leadership in research groups and editorial roles underscores his academic influence.
Pia Tingström is an Assistant Professor at the Department of Nursing and Reproductive Health (ORH) , part of the Department of Health, Medicine and Care (HMV) at Linköping University . She serves as Department Head and Unit Manager , while also directing the Graduate School in Medical Pedagogy at HMV. Her research spans multiple interconnected areas, including interprofessional education , team collaboration in clinical practice , and improving care for frail elderly patients through early infection detection. She emphasizes undergraduate healthcare education and problem-based learning (PBL) in cardiac rehabilitation and musculoskeletal pain management. Recent publications highlight her work on interprofessional clinical placements , EDIS validation for infection detection, and PainSMART protocols for chronic pain. Her studies also explore midwifery practices , patient empowerment , and geriatric care systems . She has extensive teaching experience at undergraduate, postgraduate, and doctoral levels , contributing to pedagogical development in healthcare education. Her leadership roles and research align with Linköping University’s area of strength in interprofessional learning , collaborating with institutions like Karolinska Institute and Stockholm University.
Kristina Gough is an Adjunct university lecturer at Linköping University, dividing her time between teaching in the nursing program and working as a clinical lecturer within Region Östergötland. She is affiliated with the Department of Nursing and Reproductive Health (ORH) and the Department of Health, Medicine and Care (HMV) within the Faculty of Medicine. Her educational background includes: Registered Nurse (2004, Linköping University) Supervision (2007, Linnaeus University) Specialist nurse in Intensive Care (2008, Karlstad University) Medicine Master's Degree (2016, Linköping University) University pedagogy: Problem-Based Learning and Core Group Supervision (2013) Examiner in higher education – roles and responsibilities (2018) The Academic Learning Community (2019) Design for Learning (2022) With a background in emergency care and intensive care, Kristina Gough's professional focus centers on nursing education and clinical practice. Her expertise spans intensive care nursing, emergency care, and simulation-based medical education. She plays a crucial role in bridging academic instruction with clinical practice, particularly through her work with field-based education (VFU). Her teaching methodology incorporates diverse approaches including basic group instruction, lectures, simulation education, and practical skills training such as cardiopulmonary resuscitation (CPR). As a clinical lecturer, she strengthens collaboration between the Faculty of Medicine and clinical activities, mainly within the Mind Center of Region Östergötland. Her work focuses on pedagogical issues related to field-based education, supporting the planning and implementation of clinical training for nursing students. Kristina Gough also maintains active clinical practice as an intensive care nurse at the Anesthesia and Intensive Care Clinic, Vrinnevis Hospital, ensuring her teaching remains grounded in current clinical realities. Her dual role as both educator and practitioner creates valuable synergy between theoretical knowledge and practical application in healthcare education.
Neil Powell is a Senior Lecturer at Uppsala University, affiliated with the Department of Women's and Children's Health and the Center for Health and Sustainability. His work focuses on the intersection of environmental governance, sustainability, and social transformation. He is based at the MTC building in Uppsala, with a mobile phone number and email contact details provided. Institute for Research on Conflicts of Interest in Sustainable Social Transformation Department of Women's and Children's Health Powell's research spans social-ecological systems, environmental communication, and stakeholder engagement in sustainability initiatives. He employs co-creation methodologies and serious games to address climate change adaptation, water governance, and agro-environmental policy challenges. His recent work emphasizes equitable ecosystem restoration and transformative pathways for carbon farming in the European Union. His publications highlight innovative approaches to environmental governance, including: Co-creation labs for stakeholder convergence Democratic innovations in citizen science Policy coherence for sustainable development Resilience narratives infused with intersubjectivity While no formal scientific awards are listed, his collaborative projects demonstrate significant contributions to sustainability science through transdisciplinary research and institutional innovation.
Ozan Öktem is a Professor at KTH Royal Institute of Technology , specializing in applied mathematics with a focus on inverse problems, machine learning, and numerical analysis. He works in the Division of Numerical Analysis, Optimization and Systems Theory and develops theory and algorithms for solving inverse problems, particularly in medical imaging and cryogenic electron microscopy (Cryo-EM). His research integrates mathematical analysis, machine learning, and numerical methods to address challenges in recovering hidden model parameters from indirect observations. He emphasizes regularization techniques to stabilize ill-posed problems and computational feasibility for large-scale applications. Key areas include tomographic reconstruction, deep learning-based methods, and applications in biomedical imaging. Recent publications highlight his work on learned primal-dual architectures for CT, Riemannian geometry in protein dynamics analysis, and regularization strategies for Cryo-EM. Collaborations span computational biology, medical imaging, and optimization. He serves as course responsible for advanced courses in differential equations, inverse problems, and scientific computing.
Fabian Lorig is an Associate Professor in Computer Science at Malmö University's Faculty of Technology and Society, Department of Computer Science and Media Technology. He is affiliated with the Sustainable Digitalisation Research Centre and the Internet of Things and People (IOTAP) research environment. His work integrates computational methods with real-world applications in public health, mobility, and policy domains. His research focuses on agent-based modeling and social simulation , decision and policy support systems , AI in socio-technical contexts , participatory modeling , and governance of digital technologies . Through interdisciplinary projects, he develops computational models that help stakeholders understand complex social systems and anticipate policy consequences. His approach emphasizes evidence-based decision-making where digital technologies shape societal outcomes. Recent publication trends show a strong focus on applying agent-based social simulations to critical policy areas, particularly organ donation policies (2025), with multiple papers addressing methodological approaches to policy modeling and the implications of the EU AI Act. His work spans healthcare policy, transportation systems, and educational approaches to agent-based modeling. Agent-based Social Simulation of Organ Donation Policies (PI, Crafoord Foundation) Realizing the Potential of Agent-Based Social Simulations (Co-PI, WASP-HS) Facilitators and barriers to the use of agent-based social simulation in organ donation (PI, SciLifeLab.se) In his advising and grant activities, Lorig takes a collaborative, interdisciplinary approach, working with stakeholders across policy domains to develop simulation tools that address real-world challenges. His research integrates technical computational methods with social science perspectives to ensure practical applicability. Based in the Sustainable Digitalisation Research Centre, Lorig's work environment emphasizes the integration of social and technological aspects to promote responsible digitalization. His research group focuses on developing simulation-based decision support tools while considering the societal implications of AI technologies and digital systems.
Ann Lantz is a Professor and Head of School at KTH Royal Institute of Technology, working within the School of Electrical Engineering and Computer Science. She specializes in Human-Computer Interaction with a focus on behavioral science. Research areas: email systems, digital meeting systems, procurement processes, accessibility design, challenge-driven education Affiliation: KTH Royal Institute of Technology, School of Electrical Engineering and Computer Science Contact: alz@kth.se Her scholarly work examines: Accessibility for cognitively disabled users in digital communication Challenge-driven education models in global contexts Procurement processes in interaction design Remote collaboration tools and digital work environments Publications show strong trends in: Usability and accessibility research International education collaborations Workplace technology evaluation Design for cognitive disabilities
Kätlin Vanari is a Research Fellow and Head of the Centre for Innovation in Education at Tallinn University's School of Educational Sciences, working in a 0.50 capacity in both roles. With a Doctor's Degree completed in 2025 and extensive administrative experience in Estonian higher education institutions, she brings both scholarly and practical perspectives to her work in educational research and innovation. Doctor's Degree (2025) from Tallinn University Master's Degree in Sociology (2020) from University of Tartu Research Master's Degree in Educational Sciences (2007) from Tallinn University Bachelor's Degree in Educational Sciences (Andragogy) (2003) from Tallinn Pedagogical University Dr. Vanari's research centers on evidence-based school improvement, with particular focus on how schools can effectively utilize self-evaluation processes, data-driven decision making, and social systems theory to enhance educational quality. Her work explores the intricate relationships between curriculum development, leadership practices, and organizational culture in schools, emphasizing collaborative approaches to educational innovation. She has made significant contributions to understanding how school-university partnerships can drive evidence-based educational improvement in the Estonian context. Her recent publications (2023-2025) reveal a strong emphasis on practical applications of educational research, with multiple studies examining specific improvement processes in Estonian schools. Her work spans theoretical frameworks for understanding school culture to concrete analyses of curriculum development routines and leadership practices that facilitate school improvement. Extensive publications in educational research journals including Studies in Educational Evaluation, Leadership and Policy in Schools, and Journal of School Leadership Contributions to international reports on Estonia's education system Editor of significant volumes on teacher collaboration and educational innovation Dr. Vanari's approach to educational research combines rigorous theoretical frameworks with practical implementation strategies, informed by her extensive experience in educational administration. Her work on school-university partnerships and evidence-based school improvement has made significant contributions to educational policy and practice in Estonia.
