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).
Zelmina Lubovac is a Senior Lecturer in BioInformatics at the School of Bioscience, University of Skövde. She serves as both a Course Coordinator for multiple undergraduate and graduate courses in bioinformatics and a Programme Coordinator for Master's level programs. Her academic work focuses on the intersection of computational methods and biological applications, particularly in disease analysis and biomarker discovery. Dr. Lubovac's research spans several key areas in bioinformatics and systems biology: Disease module identification in complex biological networks Multi-omics integration (genomics, proteomics, metabolomics) for biomarker discovery Machine learning applications in RNA-seq and other high-throughput biological data Development of bioinformatics software tools for network analysis miRNA analysis in cancer and neurological disorders Her recent publications (2022-2024) demonstrate a strong focus on applying computational approaches to understand disease mechanisms, particularly in pancreatic cancer and multiple sclerosis. She has developed several widely-used bioinformatics tools including MODalyseR, MODifieR, and TFTenricher that facilitate disease module analysis and gene network interpretation. Her work often involves collaborative research with clinical teams to translate computational findings into potential diagnostic applications. Dr. Lubovac has been involved in significant research projects including: BIO-AID (Biomedical AI-driven data analytics): Oct 2020 - Sep 2024 Systems Biology DMDPipe: Mar 2018 - Feb 2021 She actively contributes to both undergraduate and graduate education at the University of Skövde, coordinating multiple courses and programs in bioinformatics and bioscience, with a clear emphasis on preparing students for careers at the intersection of biology and computational science.
Kerstin Nilsson is a Professor of Public Health Sciences at Kristianstad University , Faculty of Health Sciences, and holds associate professorships in Public Health Epidemiology at Lund University and Work Science at the Swedish University of Agricultural Sciences (SLU). Her research focuses on creating healthy workplaces , sustainable working lives , and person-centered healthcare practices . Key Research Areas: Aging workforce, salutogenesis, nature-assisted rehabilitation, pandemic response in healthcare, and sustainable work environments. Leadership: Developer of the SwAge model for sustainable working life across ages. Scientific Contributions: Over 188 publications, with recent projects analyzing nurses' mental health during the pandemic, workplace relationships in healthcare, and nature-based interventions. Collaborates with international networks like the EU COST Action 'DIGI-net' and the Pufendorf Advanced Study Group. Awards: No explicit awards listed, but recognized through leadership roles and interdisciplinary research. Students: Supervises doctoral candidates like Cicilia Nagel and Sophie Schön Persson, focusing on person-centered care and staff well-being. External Affiliation: Associate Professor at Lund University (2007–present) and SLU (until 2007).
Marcus Nohlberg is an Associate Professor in the Department of Information Technology at the University of Skövde, Sweden. His primary academic affiliation is with the School of Informatics where he serves as a course coordinator for multiple bachelor-level courses in information security. He maintains an active research profile with numerous publications in cybersecurity, particularly focusing on human aspects of security. His research interests center on cybersecurity training methods, social engineering, usable security, and information security management. Nohlberg has developed the Context-Based Micro-Training (CBMT) framework, which has become a significant contribution to security awareness training. His work frequently examines how cognitive factors impact security behaviors and how training can be designed to be more effective and accessible. His publication trends show a consistent focus on human-centered security approaches, with recent work expanding into automotive cybersecurity, digital inclusion for seniors, and relationship security aspects. His research demonstrates a strong interdisciplinary approach, bridging computer science with psychology, education, and organizational behavior. Nohlberg has received recognition through numerous publications in reputable journals and conferences including Information and Computer Security, Computers & Security, and various IFIP WG 11.12 symposiums. His work often appears in Human Aspects of Information Security and Assurance conferences. He has led several research projects including "Development of Decision Support for Users in Risky Online Situations" (2020-2022) and "Information Security Training with Context-Based Microtraining" (2019-2020), demonstrating his commitment to translating research into practical security solutions. His work frequently involves collaboration with Swedish municipalities, auto workshops, and other organizations to address real-world security challenges. Nohlberg maintains active engagement with the public through media appearances and popular science presentations at the University of Skövde, discussing topics like AI risks and opportunities, digital security in relationships, and BankID accessibility issues.
Gunilla Almgren Bäck is a researcher at the Department of Educational Psychology, Faculty of Health and Life Sciences, Linnaeus University. Her work focuses on assistive technology and its role in addressing reading and writing difficulties, particularly in primary and middle-school education. She has conducted extensive studies on speech-to-text tools for students with dyslexia and writing disabilities. Education: Ph.D. in Psychology (2024) from Linnaeus University, specializing in educational psychology and assistive technology. Research Interests: Almgren Bäck's research explores how speech-to-text technology can prevent, bridge, and develop students' text production capabilities. Her work includes longitudinal studies on dyslexic students' experiences and collaborations across Nordic countries to refine assistive technologies. Recent Publications: Her studies, such as Prevent, Bridge, Develop (2024) and Enhancing Middle-School Students' Textual Expression (2025), highlight the integration of assistive technology in educational settings. Her articles emphasize technology's potential to support writing difficulties, dyslexia, and AI-enhanced text production. Projects: She leads the ongoing project When AT meets AI , investigating the synergy between assistive technology and artificial intelligence in text production. Additionally, she collaborates on a 2024–2025 initiative using speech synthesis to aid reading learning in SFI teaching.
Hampus Bejnö is an Associate Professor and postdoctoral researcher at the Department of Special Education , Stockholm University. He also serves as Program Director for the Special Educator Program (specialpedagogprogrammet). Role: Associate Professor, Postdoctoral Researcher, Program Director Focus: Learning and participation of children with autism Key projects: APERS adaptation, TRAS evaluation, PANS qualitative studies Research Themes Improving educational environments for children with ASD Enhancing neuropsychological report readability Assistive technology for neurodiverse populations Awards & Collaborations While no explicit awards are listed, Bejnö contributes to interdisciplinary networks focused on neurodiversity and neuropsychiatric disabilities. His work bridges clinical practice with educational policy and technological innovation.
Martin Salzmann-Erikson is an Associate Professor in Nursing Science at the University of Gävle, specializing in Caring Science. With extensive clinical experience in psychiatric intensive care, he has developed innovative models for staff-patient interactions and advanced courses like "Integrative Nursing in Psychiatric Care" and "Concept Analysis." His work bridges clinical practice, education, and research, focusing on the complexities of human interaction through chaos theory and digital transformation. Current research in the "Digital Shapeshifting" program addresses critical challenges in healthcare digitization, including reducing digital exclusion, ensuring inclusive care environments, and safeguarding nursing quality. Projects span interprofessional communication, digital inclusion for homeless women, and the ethical implications of AI in mental health. His methodological expertise includes netnography, autoethnography, and complexity science. Key article trends highlight intersections of technology and empathy, with recurring themes in psychiatric care, technostress, and digital equity. His 2023–2025 publications emphasize ethical AI integration, footwear symbolism in healthcare teams, and socio-technical approaches to continuous learning. Supervision roles include doctoral projects on intellectual disabilities, cyber nursing, and violence in intensive care. Supervised: Ingela Rudberg (Interprofessional Communication), Oskar Andersson (Staff Participation Promotion), Fredric Sjöberg (Violence Management, KI) Education: Courses on Integrative Nursing & Concept Analysis Affiliations: Strategic Research Area Health-Promoting Work, University of Gävle
Andrea Fossati is a DDLS Fellow and Principal Investigator at Karolinska Institutet, leading the Fossati Lab at SciLifeLab. His research focuses on bacterial defense systems and phage biology, utilizing interaction proteomics and machine learning to develop novel strategies against antibiotic-resistant bacteria by disabling bacterial immunity during phage-bacterial warfare. Dr. Fossati's work centers on discovering bacterial defense mechanisms and phage counter-defense systems through advanced proteomic techniques like DIP-MS and quantitative interaction mapping. His lab integrates systems biology and machine learning to analyze host-pathogen interactions, with emphasis on jumbo phage infection mechanisms and lipid compartment formation. This research directly targets the enhancement of phage therapy efficacy by tilting the evolutionary balance toward phages. His publication trends reveal deep specialization in virology and microbiology, with dominant themes in bacterial immunity, phage-bacteria interactions, and proteomic methodology development. Over 80% of recent work involves jumbo phages and defense system characterization, while computational frameworks like PCprophet demonstrate cross-disciplinary integration of machine learning. Scientific awards: DDLS Fellow Dr. Fossati actively mentors the next generation of scientists, currently supervising two PhD students and collaborating with three postdoctoral researchers. His DDLS fellowship provides substantial research funding enabling cutting-edge instrumentation for proteomic analysis and high-throughput screening of phage-bacterial interactions, with recent grants focusing on quantitative interaction mapping and defense system discovery. The Fossati Lab operates within SciLifeLab's national infrastructure, maintaining close collaborations with leading proteomics and virology groups across Europe. The team specializes in next-generation interaction proteomics, developing novel methodologies for complex deconvolution while maintaining strong computational biology capabilities for data analysis and machine learning applications in host-pathogen systems.
Ali Hamidi is a researcher affiliated with Linnaeus University's Department of Informatics under the Faculty of Technology. His work focuses on computational thinking (CT) education, systems thinking integration, and STEM pedagogical innovation. He leads the Computational Thinking and Coding Skills in Schools (CoCoS) research group and contributes to the Linnaeus University Systems Community (LNU-STC). Current projects include the EU-funded IGNITE initiative to reform Albanian/Kosovo education systems and the TACTIDE project empowering teachers with digital tools. Hamidi's research emphasizes bridging CT with systems thinking frameworks, robotic learning for children, and maker technologies for inclusive education. He co-edited proceedings for Linnaeus Student Conferences on IT (2019-2021) and holds a Licentiate in Education Sciences (2023). His 2025 Human Systems Management paper advances CT education through systems theory, while 2024 work critiques CT pedagogical foundations. Publications span robotics in early programming education (2022), digital competence for preschool teachers (2022), and textile-based STEM engagement (2019). Collaborations with Milrad, Zerega, and Mirijamdotter highlight interdisciplinary approaches. Current research groups address CT integration across formal/informal learning contexts.
Mona Holmqvist is a Professor of Educational Sciences specializing in school and the teaching profession at Lund University's Department of Educational Sciences within the Faculty of Humanities and Theology. She serves as Director of Doctoral Studies in Educational Sciences and has held professorships since 2017, returning to Lund University in 2023 after positions at HKr, GU, and MAU. Her academic journey began with teacher certification for grades 4-6, subject teaching credentials for 7-9, and secondary teaching in pedagogy/psychology, culminating in her 1995 PhD in pedagogy from Lund University focused on teaching students with autism. Her research spans learning theories, particularly variation theory development, and practice-based educational research from early childhood to higher education. Holmqvist has special expertise in subject didactics and special didactics for individuals with ADHD and autism. She has served as principal investigator for ten externally funded research projects and coordinated three research schools, including the National Research School for Pedagogical Work (2001-2010) and SET—Research School in Special Education for Teacher Educators (2018-2022). Her recent publications demonstrate a strong focus on inclusive education, special didactics, and early mathematics development, with particular attention to students with autism and ADHD. Current projects include a VR-funded study on number sense in 5-6 year-olds and an Erasmus project for higher education course development in Bhutan. Professional leadership roles include Vice Chair of the Academic Merit Review Board in Higher Education Pedagogy at Lund University, membership on the Swedish Research Council's Committee for Educational Sciences, and editorial board positions for three academic journals. Director of Doctoral Studies in Educational Sciences at Lund University Principal Investigator for 10+ externally funded research projects Supervisor for 14 doctoral students and 9 licentiates Member of Swedish Research Council's Educational Science Committee Editorial board member for 3 academic journals Her work consistently bridges theoretical frameworks with practical classroom applications, particularly in inclusive educational settings and teacher professional development. Current research emphasizes content-inclusive teaching approaches that provide equitable learning opportunities for diverse student populations.
Professor Anne-Kathrin Peters is an Associate Professor in Technology Education at KTH Royal Institute of Technology's School of Industrial Engineering and Management (ITM), affiliated with the Department of Learning. She serves as Co-PI for the Digital Futures project addressing cognitive disabilities in education and co-leads the TREES research cluster. Her research focuses on sustainability in education, equity, and the intersection of social/environmental sustainability. Key roles include coordinating KTH's education for sustainable development initiatives and advising Norway's Excited Centre on IT education. She supervises two PhD students and teaches courses like 'Teaching and Learning in Higher Education.' Research Interests: Education for sustainable development Social and environmental sustainability intersections Norms/identities in computing education Emotions and care ethics in teaching Inclusive digitalization for cognitive disabilities Projects: Digitalisation and Educational Transformation project (Digital Futures) Anthropocene natural science education initiative Collegial networks on equality/sustainability in education at KTH Teaching: Leads core courses for educators, including pedagogical frameworks, gender theory, and challenge-driven education.
Krister Hertting serves as a Senior Lecturer at Halmstad University's School of Health and Welfare, Sweden, with research spanning health education, sport pedagogy, and immigrant integration. His work examines how physical activity and educational systems foster well-being among vulnerable populations including refugees, LGBTQ+ individuals, and student-athletes. Hertting's research focuses on pandemic impacts on sport-education ecosystems, integration pathways through higher education and sports clubs, and health interventions for marginalized groups. His methodologies prioritize qualitative and longitudinal approaches to capture lived experiences, particularly among immigrant women, LGBTQ+ refugees, and adolescents navigating obesity. Key themes include resilience during crises, inclusive pedagogy in physical education, and community-based health promotion. Recent publications (2019-2025) reveal consistent thematic clustering around sport-education-health intersections, with pandemic studies dominating 2020-2025 output. His work demonstrates strong regional focus on Swedish contexts while addressing universal challenges in migrant integration, adolescent development, and crisis adaptation. Notable patterns include increasing collaboration with civil society organizations on health interventions and growing emphasis on LGBTQ+ health equity. Hertting leads the HILF research project investigating immigrant women's pathways into Swedish society. His grant portfolio centers on Swedish public health initiatives and sport-based integration programs, often partnering with municipal organizations and sports federations to implement community interventions. Current funding supports longitudinal studies on post-pandemic educational recovery and refugee health integration. He actively collaborates with civil society organizations on health-related integration projects, particularly through sports clubs and workplace interventions. His work with the Swedish sports sector focuses on developing inclusive coaching practices and organizational change strategies for migrant inclusion.
Amin Jalali is an Associate Professor of Computer and Systems Sciences at Stockholm University, specializing in business process modeling, analysis, and management. He is affiliated with the Department of Computer and Systems Sciences within the Faculty of Social Sciences, where he serves as a board member and manages three graduate courses: Business Process Design and Intelligence, Business Process and Case Management, and Data Warehousing. Institution: Stockholm University Department: Department of Computer and Systems Sciences (DSV) Research Groups: Natural Language Processing Research Group and PRECIS (Process, Requirements, Enterprise, Capability, Information Systems modelling) His research focuses on business process analysis through model-based and data-driven techniques, with particular emphasis on process simulation, process mining, event knowledge graphs, and object-centric process mining. He has led numerous research projects across healthcare, education, and finance domains. His work includes significant contributions to the development of NLP methods involving large language models, with focus on privacy, explainability, and domain adaptation. Jalali's research output shows a strong trend toward practical applications of process mining techniques, particularly in healthcare contexts like drug-drug interaction analysis and elderly care. More recently, his work has expanded into blockchain applications for fraud detection, motor imagery signal classification, and advanced object-centric process mining approaches. His publications span both theoretical contributions to business process management frameworks and practical implementations in real-world settings. He has extensive industry experience in designing and implementing Business Intelligence and Big Data Analytics solutions, which informs his academic work and teaching approach. His research has been published consistently from 2012 through 2024, demonstrating sustained scholarly productivity in his field. Dr. Jalali has contributed significantly to the development of tools and libraries for process mining, including the dfgcompare library for process variant analysis and implementations for object-centric process mining. His work bridges academic research with practical applications, particularly evident in healthcare projects like the DDIs-Graph system for identifying drug-drug interactions.
Lars Oestreicher is a Senior Lecturer at the Department of Information Technology at Uppsala University. He holds a Dr. Tech. degree and has been recognized as an Excellent teacher. His work focuses on Human-Computer Interaction with particular emphasis on accessibility and inclusive design. His research interests include disability research, non-excluding design, universal design, usability, user interface programming, and the relationship between AI and art. Notably, he led the MUMIn project (Maximal Expression - Minimal Interaction) at Årsta special needs school in Uppsala, which created conditions for children to actively play music through the use of IT. This project exemplifies his commitment to using technology to empower individuals with special needs. Oestreicher teaches Interface Programming 1 and 2, as well as the course Non-Exclusive Design which focuses on disabilities. His recent publications show a strong trend toward AI ethics, cultural competence in digital systems, cognitive aspects of human-computer interaction, and assistive technologies. His work often bridges the gap between technical systems and human needs, particularly for vulnerable populations. His scholarly output demonstrates consistent quality and relevance over several decades. His most impactful recent works address critical questions about AI ethics in human contexts, cultural competence in image analysis, and the future of assistive technologies. Oestreicher's research methodology consistently emphasizes user participation and co-learning, reflecting his commitment to designing technology that genuinely serves user needs rather than imposing technological solutions on users. What is the problem to which AI chatbots are the solution? (2024) explores AI ethics through philosophical frameworks From Visual Forms to Metaphors (2022) targets cultural competence in image analysis Cognitive Chunks as Neural Activity (2019) investigates the relationship between thought and neural activity Future assistive devices (2019) examines implications of emerging assistive technologies Oestreicher maintains an active presence in the academic community with publications spanning several decades. His work shows consistent focus on human-centered computing with particular attention to inclusive design principles. He also maintains a blog on Medium under the handle @Moomindad where he discusses various topics that interest him and has garnered attention across multiple platforms including news outlets, blog posts, patents, and Wikipedia pages.
Parag Khanna is a Doctoral Student at the Division of Robotics, Perception and Learning , KTH Royal Institute of Technology. His work focuses on Human-Robot Interaction (HRI) , particularly in developing adaptive techniques for robot-human handovers. University: KTH Royal Institute of Technology Department: Robotics, Perception and Learning Khanna's research explores physical and social aspects of HRI . He studies human-human handovers to improve robotic grip release strategies and object weight adaptation. His work also delves into non-touch modalities like EEG and gaze tracking for intention detection. His recent publications highlight advancements in data-driven control , failure explanations , and multimodal datasets for HRI. Notable works include the REFLEX Dataset and studies on adaptive grip release in human-robot collaborations. Key Research Areas: Human-Robot Handovers Machine Learning for Robotics EEG and Gaze-Based Intention Detection Failure Communication in Social HRI Khanna is affiliated with the Digital Futures - Advanced Adaptive Intelligent Systems project, aiming to empower elderly and disabled individuals through autonomous robotics.
