Stefano Bonetti is an Associate Professor in the Department of Physics at Stockholm University , leading the Ultrafast Condensed Matter Dynamics Group . His research focuses on manipulating quantum materials using terahertz (THz) and near-infrared laser fields to study spin dynamics and ultrafast phenomena at nanoscale and femtosecond timescales. PhD in Materials Physics (KTH Royal Institute of Technology, Sweden) MSc in Engineering Physics (KTH) BSc in Technical Physics (Politecnico di Milano, Italy) Recent research efforts involve time-resolved X-ray microscopy to visualize spin currents and magnetization dynamics, leveraging facilities like free-electron lasers. His work bridges experimental physics and applied materials science, aiming to enhance energy efficiency in data storage technologies by understanding ultrafast spin-lattice interactions . Key scientific awards and grants: ERC Starting Grant (2017-2021) Wallenberg Academy Fellow (2018-2023) VR's free grant (2019-2023) International Career Grant (COFUND) (2015-2019) He has contributed to developing THz-based techniques for magnetic control and authored foundational work on spin-wave solitons and nonlinear magnetoelastic coupling . His group collaborates internationally, utilizing advanced synchrotron and free-electron laser facilities.
Anders Björn is a Professor at the Department of Mathematics (MAI) at Linköping University (LIU), affiliated with the Analysis and Mathematics Education (ANDI) division. His research focuses on Nonlinear Potential Theory , particularly p-harmonic functions , quasiminimizers , and Newtonian Sobolev spaces in metric spaces. He co-leads the research group in this area and contributes to Analysis on Metric Spaces . He teaches undergraduate and graduate courses, including Real Analysis and Functional Analysis . Organizational Roles: Organizer of the Mathematical Colloquium, Local Representative for Svenska Matematikersamfundet (Swedish Mathematical Society). Editorial Work: Former Technical Editor for Acta Mathematica (2004–2015) and Arkiv för Matematik (1993–2015), both published by Institut Mittag-Leffler. His research explores foundational questions in mathematical analysis, blending pure mathematics with interdisciplinary applications. He emphasizes understanding properties of solutions to differential equations in general settings, akin to constructing an 'identikit' of mathematical phenomena. His work is published in collaboration with the ANDI group, and he actively engages in promoting mathematics through outreach and academic service.
Maja Elmgren is a Senior Lecturer in Physical Chemistry and Educational Developer at Uppsala University's Department of Chemistry and Faculty of Science and Technology. Since 2009, she has directed the Council for Educational Development (TUR), focusing on academic leadership, chemistry education, and scholarly teaching. Her research spans physical chemistry, chemistry/physics education, and higher education development. Research Interests: Leadership in higher education and doctoral assessment Educational expertise in academia Student learning in thermodynamics and kinetics Chemistry education through international cooperation Quantum mechanics conceptualization Thermal phenomena visualization via infrared cameras Article Trends: Recent publications highlight interdisciplinary learning (chemistry-mathematics), assessment reform in doctoral education, student-centered pedagogy, and technological tools in science education. Subfields include mathematical modeling, entropy understanding, and VR-funded projects on science teacher roles. Scientific Awards: Medal for Merit from Uppsala Science and Technology Student Union (2011) Distinguished Teaching Award from Uppsala University (2001) Academic Roles: Director, Council for Educational Development (TUR) since 2009 Author of "Academic Teaching" (2018) and "Universitetspedagogik" (2016) International collaborations with IUPAC and VR-funded projects Specializes in entropy/thermodynamics education and infrared camera applications
Malena Janson is a Lecturer at the Department of Child and Youth Studies , Stockholm University , specializing in children's culture and moving image media. Her work spans teaching, research, and public engagement across multiple disciplines. Swedish Film Institute network member for film educational research Steering group member of BIN Norden (Nordic children's culture network) Co-editor on multiple children's culture anthologies Research Focus : Historical and contemporary children's film/TV aesthetics Child figure functions in moving images Child-animal relationships in media Narrative liminality and phantasmagoria Norm criticism in visual culture Adaptation and transmediality Recent Publications address Swedish children's cinema history, Bergman film analysis, and media's role in shaping democratic citizenship. Articles since 2022 explore posthumanist narratives and eco-activism in children's television. Teaching Materials developed for Swedish Film Institute include guides for films like Heartstone , Your Name , and Matilda , emphasizing aesthetic learning and critical thinking.
Joakim Lindblad is a Professor at the Department of Information Technology, Uppsala University , and holds affiliated roles as Senior Research Associate at the Mathematical Institute of the Serbian Academy of Sciences and Arts, and Head of Research at Topgolf Sweden AB. With over two decades of expertise in image analysis and machine learning , his work bridges computational methods with biomedical applications. Key affiliations: Uppsala University, Serbian Academy of Sciences, Topgolf Sweden Specializations: Deep Learning, Multimodal Image Registration, Quantitative Microscopy His research focuses on reliable image processing frameworks that integrate intensity and spatial information , particularly for biomedical applications . Recent publications highlight innovations in autofluorescence-based cancer detection , self-supervised one-class learning for sparse instance identification, and rotation-equivariant CNNs for robust analysis of cytology images. Recent article trends demonstrate expertise in multimodal image analysis (2024: 3 papers), oral cancer detection (2025: 2 papers), and multiscale biomedical imaging . His 2025 work on the Uppsala Storytelling Dataset introduces novel frameworks for multimodal dataset creation in AI research. While no scientific awards are explicitly mentioned, his extensive publication record (2000-2025) across top venues like Pattern Recognition , PLOS ONE , and IEEE Transactions indicates significant academic impact. His methodological contributions span stochastic distance transforms , fuzzy set defuzzification , and multimodal image registration techniques. Collaborative work with researchers like Nataša Sladoje and interdisciplinary teams has produced innovations in automated cytology analysis , TEM image enhancement , and AI-driven medical diagnostics . His 2021-2022 projects introduced contrastive learning approaches for multimodal image registration and explainable AI frameworks for infant engagement analysis.
Federica Viola is a Researcher at Linköping University, affiliated with the Department of Health, Medicine and Caring Sciences (HMV) and the Division of Diagnostics and Specialist Medicine (DISP). She is part of the Cardiovascular Magnetic Resonance Group (CMR) and the HEART4FLOW initiative. Her primary research focuses on improving cardiovascular 4D flow MRI data quality, hemodynamic modeling, and applying deep learning techniques for automated analysis in clinical settings. Key affiliations include the Center for Medical Image Science and Visualization (CMIV), which develops advanced imaging tools for healthcare. She collaborates with faculty members such as Professors Tino Ebbers, Petter Dyverfeldt, and Carljohan Carlhäll on projects integrating imaging and computational models to study cardiovascular diseases like hypertension and diabetes. Her research emphasizes personalized medicine, combining 4D flow MRI with mathematical models to assess diastolic function, quantify blood flow dynamics, and evaluate treatment effects. Recent work addresses challenges in reproducibility of cardiac models and automated segmentation using AI. Her contributions span cardiovascular imaging technology, hemodynamic analysis, and interdisciplinary collaborations in the Circulation and Metabolism (CircM) strategic network. She actively publishes in journals like Scientific Reports , Journal of Cardiovascular Magnetic Resonance , and Frontiers in Cardiovascular Medicine .
Mattias Roupé is an Associate Professor, Head of Department, and Research Area Leader at the Department of Construction Management and Engineering at Chalmers University of Technology. His research focuses on digital construction processes, including Building Information Modelling (BIM), Total BIM, Virtual Reality (VR), and digital twins. He holds a Ph.D. in Virtual Reality for decision-making in urban planning and building design. His work combines technical advancements in visualization and computational methods with human-centric aspects like perception and decision-making in design collaboration. Education: Ph.D. in Virtual Reality applications for urban planning and building design. Research interests span model-based construction processes, data-driven design, and immersive technologies for user involvement in healthcare and infrastructure projects. Notable projects include the Total BIM initiative, exploring integrated digital workflows, and the Digital Twin Cities Centre, advancing smart city technologies. His publications emphasize VR integration, BIM adoption challenges, and collaborative design tools. He leads several research grants funded by organizations like SBUF and Formas, focusing on construction innovation. Key contributions include frameworks for BIM-based scheduling, VR in healthcare facility design, and BIM-GIS integration for railway infrastructure. His work bridges technical and human factors to enhance construction efficiency and sustainability.
Tony Lindeberg is a Professor of Computer Science—Computational Vision at KTH Royal Institute of Technology, affiliated with the Division of Computational Science and Technology. He teaches the course Image Analysis and Computer Vision (DD2423). His research focuses on scale-space theory, early vision, and computational modeling of biological and auditory vision systems. Key contributions include theories on receptive fields, time-causal spatio-temporal models, and feature detection algorithms. Research interests span computational neuroscience, medical image analysis, and spatio-temporal recognition. Lindeberg has pioneered work on scale-invariant image features, affine transformations, and Galilean diagonalization for motion analysis. He is the author of the foundational book Scale-Space Theory in Computer Vision (1993). His work bridges computer vision and biological vision systems, with applications in gesture recognition, dynamic texture analysis, and neural networks. He leads the Vision Lab and Computational Brain Science Lab at KTH, emphasizing theoretical rigor and practical algorithms for visual perception tasks.
Per Frankelius is an Associate Professor and Senior Lecturer in Business Administration at Linköping University's Department of Economic and Industrial Development (IEI). His work centers on understanding and stimulating innovative processes, primarily in agriculture, with marketing as a key component. He serves as process manager for Agtech Sweden (formerly Agtech 2030), a major innovation initiative funded by Vinnova with a budget of nearly 200 million SEK. Frankelius's research focuses on the intersection of innovation, marketing, and business analysis. He defines innovation as 'original concepts that gain acceptance in society,' arguing that marketing and external factors are natural parts of the innovation process. His current work emphasizes agricultural innovations, climate calculations, and the role of agriculture in addressing global challenges like food security and climate change. He has developed visual models of company development over time and studies 'X-factors'—external elements not central to mainstream economic models. His publications reveal a strong trend toward practical applications of innovation theory in agriculture and sustainability. The research spans climate policy, technological standardization, resource integration in green services, and international agricultural technology transfer. Frankelius frequently connects innovation to broader societal challenges, particularly food security and the role of agriculture in peace and stability. His work bridges theoretical business administration with practical agricultural applications, often challenging conventional paradigms like the IPCC's climate calculations for agriculture. Silver Medal, Agritechnica Innovation Award (as part of Agtech 2030 team) Frankelius actively participates in societal debates, writing for publications like The Lancet and Aftonbladet. He advocates for investment in agricultural innovation to prevent food shortages that could lead to conflict. His work with Agtech Sweden involves collaboration with numerous industry partners, government agencies, and international organizations. The initiative has secured significant funding from Vinnova and has established a national knowledge hub for agricultural digitalization with a 20 million SEK budget. As co-leader of the innovation environment Agtech Sweden, Frankelius works with partners to establish an innovation ecosystem focused on sensors, digital technology, AI, and the Internet of Things for tomorrow's agriculture. The initiative includes projects like solar co-farming, precision agriculture, and international delegation trips to share knowledge and develop new technologies.
Kaisa Lund is a Senior Lecturer in Marketing at the School of Business and Economics , Linnaeus University. Her teaching focuses on sensory marketing, digital marketing, scientific methods, and bachelor theses supervision. Research Interests: Consumer information processing Judgment and decision making Branding Sensory marketing Retail atmospheric strategies Food and health marketing Scientific Awards: Finalist, Journal of the Academy of Marketing Science Best Paper Award (2019) Award for Best Paper in 'Food and Health' Track at the AMA Winter Conference (2018) Industry Collaborations: Extensive experience with Beiersdorf AG (Nivea producer) and ICA (Sweden's leading food retailer). Has presented to executives at IKEA, Beiersdorf AG, ICA, and the Swedish Marketing Confederation. Media Coverage: Research (notably in the Journal of the Academy of Marketing Science) has been featured in over 100 outlets including New York Times , Washington Post , Newsweek , and Fox .
Richard Brenner is a Professor and Head of Department at the Department of Physics and Astronomy , Uppsala University. He is a key member of the ATLAS detector team at the CERN Large Hadron Collider (LHC) , focusing on instrumentation development and real-time data processing for dark matter detection. His work bridges semiconductor detector signals with machine learning systems , emphasizing radiation resistance in high-energy environments. Role: Head of Department of Physics and Astronomy Affiliation: Uppsala University and CERN Research Focus: Dark Matter, Higgs Boson, Particle Physics His recent 15 publications (2025) span topics like dark matter searches , Higgs boson production , vector boson fusion , and machine learning applications in data analysis. Keywords include High Energy Physics , Experimental Physics , and Quantum Interactions , with subfields such as Collider Physics , Detector Engineering , and Theoretical Modeling
Elina Eriksson is an Associate Professor at the Department of Media Technology and Interaction Design (MID) within the School of Electrical Engineering and Computer Science at KTH Royal Institute of Technology. She holds additional affiliations with Green Leap, Digital Futures, and the KTH Climate Action Center. Dr. Eriksson co-leads the Sustainable Futures Lab research group and serves as programme responsible for the new Sustainable Digitalisation master's programme launching in autumn 2024. Dr. Eriksson earned her PhD from KTH with the thesis 'Situated Reflexive Change - User-centred Design in(to) Practice' in 2013, while also working at Uppsala University during her doctoral studies. Her academic journey demonstrates a consistent focus on the intersection of technology and sustainability. Her research centers on sustainability and human-computer interaction (S-HCI), specifically exploring how computing can facilitate the transition to a more sustainable world. She investigates change processes and practices across multiple domains, with particular emphasis on energy transitions, academic travel emissions, sustainable behavior change, and futures thinking for sustainability. Dr. Eriksson approaches these challenges through both theoretical frameworks and practical interventions. Analysis of Dr. Eriksson's publication record reveals a strong trajectory in sustainable computing, with increasing focus on climate action and systemic change in recent years. Her work bridges technical computing research with social science perspectives, emphasizing practical applications for sustainability challenges across academic, organizational, and everyday contexts. Dr. Eriksson currently manages the project 'Beyond the event horizon: tools to explore local energy transformations' and contributes to 'Decreased CO2-emissions in flight-intensive organisations' and 'HabitWise - Creating Sustainable Everyday Habits.' She teaches courses including 'ICT and Sustainability,' 'Leading Complex Change Processes,' and 'Sustainable ICT in Practice,' while examining various degree projects across computing disciplines. As co-leader of the Sustainable Futures Lab, Dr. Eriksson fosters interdisciplinary research that examines how digital technologies can support sustainable practices and transitions. The lab serves as a hub for innovative approaches to sustainability challenges through human-centered computing research.
Mario Romero is a Senior Associate Professor and Head of Unit at the Department of Science and Technology (ITN) within Linköping University. His research focuses on immersive visualization, media and information technology, and advanced manufacturing processes. He leads initiatives in digital twinning for production lines, leveraging 3D Gaussian splatting and vision models. Currently holds the position of Head of Unit, overseeing academic and research activities within his department. No scientific awards or grants are explicitly mentioned in the provided text. Mario Romero has no listed advisees or students in the given data. His work is affiliated with the Department of Science and Technology (ITN) at Linköping University, though specific lab or team affiliations are not detailed here.
Antonios Pantazis is an Associate Professor and Docent at Linköping University, affiliated with the Department of Biomedical and Clinical Sciences (BKV) within the Faculty of Medicine and Health Sciences. He leads the Pantazis Laboratory of Cellular Excitability (PaLaCE), focusing on ion channel biophysics and their role in health and disease. His work integrates electrophysiological, optical, and computational methods to study ion channel structure-function relationships, particularly in cardiac and neuronal systems. Research interests include voltage-gated ion channels, cellular excitability, and the molecular mechanisms underlying arrhythmias and neurological disorders. Key contributions involve understanding mutations in genes like SCN5A and KCNA2, which are linked to epilepsy and cardiac arrhythmias. He has been awarded the Swedish Fernström Prize (2021) for his work on ion channels. Publications span topics such as ion channel regulation, molecular transitions in voltage-dependent processes, and drug targets for arrhythmia suppression. His laboratory also explores cutting-edge techniques like voltage-clamp fluorometry and optical methods to visualize protein dynamics. Collaborations include institutions like the Wallenberg Centre for Molecular Medicine (WCMM) at Linköping University, emphasizing translational research in medical technology and bioengineering.
Kalle Åström is a Professor at Lund University's Centre for Mathematical Sciences within the Faculty of Engineering. He coordinates Lund University's Natural and Artificial Cognition profile area and the AI Lund network. His affiliations include ELLIIT (Linköping-Lund IT initiative), eSSENCE (e-Science Collaboration), Stroke Imaging Research group, and Computer Vision and Machine Learning research groups. His research spans computer vision, machine learning, and mathematical modeling with applications in medical imaging, autonomous systems, and cognitive vision. Key interests include geometry of multiple views, structure from motion using heterogeneous sensors, medical image analysis, and handwriting recognition. His work contributes to UN Sustainable Development Goals through AI applications in healthcare and engineering. Recent publications (2025) demonstrate strong trends in medical AI (Alzheimer's diagnostics, breast cancer classification) and autonomous systems (safety testing, sensor fusion). His work bridges theoretical mathematics with practical applications across healthcare and robotics domains. Best Nordic Ph.D. Thesis in Pattern Recognition (1995-1996) Innovation Cup 1991 for Autonomous Guided Vehicles EU IST Grand Prize 2003 (Decuma startup) Åström supervises graduate students and leads multiple active research projects including machine learning for Parkinson's disease analysis, audiovisual drone detection (Vinnova-funded), and Alzheimer's disease modeling. He co-founded startups Decuma (1999), Cognimatics (2003), Spiideo (2012), and Neuromathics (2015), and serves on boards of the Royal Swedish Physiographic Society and Swedish AI Society (SAIS). His research integrates mathematical rigor with real-world AI applications through extensive industry-academia collaborations.
