Prof. Peter F. Choong holds the Sir Hugh Devine Chair of Surgery and serves as Head of the Department of Surgery at the University of Melbourne, based at St. Vincent's Hospital Melbourne. He concurrently directs Orthopaedics at St. Vincent's Hospital Melbourne and chairs the Bone and Soft Tissue Sarcoma Service at Peter MacCallum Cancer Centre. His research program integrates clinical orthopaedics with engineering innovation, focusing on joint replacement biomechanics, sarcoma management across age groups, and advanced prosthetic control systems. Key interests include optimizing surgical outcomes through precision alignment techniques, geriatric oncology protocols, and closed-loop myoelectric interfaces that enhance functional mobility. Recent publications (2019-2020) reveal strong interdisciplinary convergence between surgical practice and engineering disciplines. Dominant themes include outcome analysis of knee/hip arthroplasty, sarcoma treatment efficacy in elderly populations, and adaptive algorithms for human-prosthesis interfaces. This work bridges orthopaedic surgery, rehabilitation engineering, and materials science to address complex mobility challenges.
Petter Andre Jølstad is a PhD Research Fellow at the Department of Physical Performance within the Norwegian School of Sport Sciences. He works concurrently as a Sports Scientist for the Alpine National Team , focusing on software development, load monitoring, and performance analysis. Education: Bachelor’s in Sports Biology, Master’s in Biomechanics and Sports Technology (both from Norwegian School of Sport Sciences) His research spans sports technology , biomechanics , and sensor validation , with applications in alpine skiing , ski jumping , and winter sports . Recent publications address aerial maneuver stability, GNSS sensor accuracy, and kinematic analysis in performance sports. He teaches Python and MATLAB programming , physics , and biomechanics . His work emphasizes technology validation and data-driven performance optimization in high-performance sports contexts.
Associate Professor Patrick Stünkel is affiliated with the Western Norway University of Applied Sciences (HVL) within the Department of Computer Science, Electrical Engineering and Mathematical Sciences. He has taught courses such as ING301: Computer Science and Advanced Programming for Engineers (Spring 2026). His research focuses on Computer Science , particularly in Software Engineering , Formal Methods , and Multi-Modeling . Key Research Areas Control Flow Analysis for BPMN Models Runtime Verification of Timed Petri Nets Behavioral Consistency in Multi-Modeling Process Data Science in Digital Pathology Comprehensive Systems for Multi-Model Consistency Publications Trends 2024 works emphasize BPMN validation , visual debugging tools , and timed Petri net verification . 2023-2022 research explores pathology workflow optimization and multi-model consistency frameworks . Earlier works (2017-2020) address graph rewriting , model repair , and database refactoring tools .
Kirsten Marie Hartvigsen serves as Associate Professor in Religious and Ethics Didactics at the Department of Teacher Education and School Research, Faculty of Educational Sciences, University of Oslo, a position she has held since 2019 after serving as Senior Lecturer from 2016-2019. She concurrently acts as Editor of Acta Didactica Norden since 2021. Her academic trajectory includes postdoctoral appointments at Aarhus University (2013-2014) and the University of Oslo (2010-2013), complemented by secondary school teaching experience at institutions including Ringstabekk School and Stav Secondary School. Her educational foundation comprises: PhD in New Testament (2009, University of Oslo) Cand.philol. in Christian Studies (2001, MF University of Applied Sciences) Practical-pedagogical education (2000, University of Oslo) Cand.mag. in German, history, Christian studies, Koine Greek and Jewish-Hellenistic culture (1996, University of Oslo/MF University College) Hartvigsen's research program integrates biblical scholarship with religious education through interdisciplinary frameworks. She investigates religious text interpretation across historical and educational contexts using literary theory, linguistics, and cognitive approaches to literature. Her work examines audience reception of biblical narratives, cognitive modeling in character understanding, and pedagogical transmission of religious knowledge in Norwegian schools. Recent projects analyze life skills conceptualization in religious education and apply blending theory to children's interpretation of parables, demonstrating consistent methodological innovation at the intersection of textual analysis and educational practice. Her publication record reveals sustained exploration of cognitive methodologies applied to biblical reception history and contemporary religious education. Articles span empirical classroom studies in Norwegian RE, theoretical analyses of New Testament narratives, and contributions to edited volumes on religious conversion and early Christian rituals. Dominant themes include textual interpretation's role in identity formation, cognitive dimensions of religious learning, and cross-cultural transmission of biblical content within educational settings. Hartvigsen actively supervises master's students in religious and ethical didactics while contributing to major research initiatives including the EDUCATE project (evaluation of subject renewal) and ETOS (bilingual education evaluation). She participates in the research groups Biblical cultures and their reception and Studies of Instruction across Subjects and Competences (SISCO) , collaborating with international networks examining cognitive linguistics in New Testament studies and religious conversion in antiquity. Her professional engagement includes associate membership in the International Seminar of Religious Education and Values (ISREV), membership in the Norwegian Religious Education Research Forum (NoReFo), the Society of New Testament Studies (SNTS), and the Society of Biblical Literature. Research stays at Aarhus University, University of Chicago, and Christian-Albrechts-Universität zu Kiel demonstrate her commitment to international scholarly exchange.
Volker Stolz is a Professor at the Department of Informatics, University of Bergen, within the Faculty of Mathematics and Natural Sciences. He teaches Mobile Application Development (DAT153), Model-driven Software Engineering (DAT355), Model Checking (PCS955), and Refactoring (DAT159). He serves as program director for INF/INF-F/INF-H programs and exchange coordinator for DATA & INF, with his office located at Kronstad (D403). His research focuses on Software Engineering, particularly Programming Languages and Software Testing, where he develops productivity tools to create safer, faster code with fewer crashes in applications. His work spans Runtime Verification, Formal Methods, and Internet of Things (IoT), emphasizing model-driven approaches for reliable software systems in mobile and web environments. Recent publications (2024-2025) demonstrate deep engagement with Runtime Verification for timed systems, advanced software testing techniques like clone elimination, and emerging applications in IoT data acquisition. His work bridges theoretical computer science with practical engineering challenges, particularly in time-series analysis and formal verification of concurrent systems. Stolz leads significant research initiatives including: Ongoing: MSCA DN "TUAI - Towards an Understanding of Artificial Intelligence" Completed: EU H2020 project "COEMS - Continuous Observation of Embedded Multicore Systems" Completed: AURORA bilateral project "SecuTrace" (NO/FR, 2020-2022) Completed: DIKU/CAPES bilateral project "Modern Refactoring" (NO/BR, 2017-2021) He serves as General Chair for ECOOP'25, a premier conference in object-oriented programming. He actively contributes to the Smart Software System (S3) research group and IoT research lab at the University of Bergen, driving innovation in software verification and reliable system development through collaborative projects and industry partnerships.
Stella Tsotsi serves as Associate Professor and Head of Studies for Area of Responsibility 8 in the Department of Nursing and Health Promotion at Oslo Metropolitan University's Faculty of Health Sciences. A clinical neuropsychologist, her research investigates developmental pathways to child and adolescent psychopathology through the interplay of child self-regulation capacities, parental mental health factors, and biological markers including genetic and epigenetic mechanisms. Her primary research focuses on the co-occurrence of aggression and internalizing difficulties in youth, examining how early life stress, parenting practices, and transgenerational mental health transmission shape socio-emotional development. She specializes in designing early interventions for cognitively disadvantaged children and employs advanced methodologies from large multidisciplinary cohort studies to investigate executive functions, emotion regulation, and temperament as vulnerability factors. Analysis of her 15 most recent publications (2023-2025) reveals consistent emphasis on longitudinal developmental trajectories, with predominant themes including epigenetic mechanisms in stress response, cross-cultural parenting dynamics, and the interplay between biological predispositions and environmental factors. Her work frequently utilizes multi-cohort designs across international collaborations to examine prenatal programming of mental health outcomes. No scientific awards are documented in the available institutional records. Dr. Tsotsi mentors students within her research domain as part of her academic responsibilities, though specific advisee names are not published in institutional materials. Her involvement in large-scale cohort studies across multiple countries indicates participation in significant grant-funded research initiatives, though specific grants aren't detailed in the provided information. She maintains an extensive international research network spanning Montreal, Ottawa, Amsterdam, Rotterdam, Saarbrücken, Manchester, and Singapore, collaborating on projects that investigate how parental mental health and parenting behaviors influence children's emotional competence and psychopathology susceptibility through developmental and epigenetic frameworks.
Professor John Markus Bjørndalen is affiliated with the Department of Informatics at UiT The Arctic University of Norway . He is a member of the Cyber Physical Systems (CPS) research group and actively contributes to the Distributed Arctic Observatory project. His work focuses on sustainable distributed systems for Arctic research. Research interests include: Cyber-Physical Systems (CPS) Internet of Things (IoT) for resource-constrained environments Machine learning applications in Arctic ecosystem monitoring Concurrency models like CSP Weather-aware energy optimization Distributed version control scalability Projects involve: Distributed Arctic Observatory (DAO) for sustainable research Improved resource control of fisheries using deep learning
Mirjam Lukasse is a Professor at the University of South-Eastern Norway (USN) in the Department of Nursing and Health Sciences, Faculty of Health and Social Sciences. She holds a concurrent professorship at OsloMet since 2020 and previously served as a postdoctoral researcher and lecturer in midwifery and public health. Her academic career spans over three decades, combining clinical midwifery experience in Norway, Pakistan, and the UK with extensive research in maternal health, violence against women, and clinical research methods. Education: PhD, University of Tromsø, Norway (2011) MSc in Advanced Clinical Practice in Midwifery, University of Surrey, UK (1998) Clinical training in Midwifery (UK/Netherlands) and Nursing (Netherlands) Research Focus: Lukasse’s work addresses critical midwifery issues such as childbirth progress, domestic violence interventions, and culturally sensitive antenatal care. She employs mixed-methods research, including systematic reviews and RCTs, to assess interventions targeting vulnerable populations. Key themes include: Domestic violence screening in antenatal care Psychosocial factors influencing birth outcomes Midwifery workforce well-being and practice environments Public health approaches to gestational diabetes and pain management Professional Contributions: As an Associate Editor of the Journal of Sexual & Reproductive Health Care , she has shaped scholarly discourse. Her leadership roles include: Project leader for NFR-funded initiatives on violence prevention and gestational diabetes Supervisor of over 30 PhD and master’s students Coordinator of EU-funded Bidens study across 6 European countries Awards: Recognized for research excellence with awards including OsloMet’s top researcher prize (2018) and multiple grants totaling over NOK 20 million. Advisory Work: Lukasse advises on midwifery education and clinical practice, including national guidelines for perinatal care and interdisciplinary collaboration in child maltreatment prevention. She has pioneered interventions like digital support tools for birth trauma survivors and culturally adapted antenatal programs. Labs/Teams: Active in global networks such as WHELM (Wellbeing in Healthservice Midwives) and leads the USN’s PhD program in Person-Centered Care.
Alessio Malizia is a Professor at the Faculty of Logistics, Molde University College (HiMolde), and concurrently holds a Professorship in User Experience Design at the University of Hertfordshire. His academic career spans roles at institutions like the University Carlos III of Madrid, Brunel University London, and Sapienza University of Rome. He is an ACM Distinguished Speaker and has research interests in Human-Centred Systems, Ubiquitous Interactive Systems, and hybrid physical-digital environments. His work integrates interdisciplinary collaboration and end-user development methodologies. Malizia’s research focuses on advancing technologies that blend digital and physical worlds, with contributions to wavelet transforms, signal processing, and image denoising. He has authored influential books and chapters, including works on time-frequency representations and sonar image processing. His industry experience includes roles at IBM and Silicon Graphics, alongside visiting research at Xerox PARC, where he explored neural networks and collaborative technologies. Key grants include projects with the European Space Agency (ESA) on sonar image fusion and ocean laboratory systems. His teaching spans Java programming, digital service design, and advanced signal processing techniques. Malizia has advised five doctoral students and currently mentors two, producing notable alumni like Prof. Corina Naforniță and Sorin Moga. His administrative roles include serving as Deputy Dean at Politehnica University Timișoara and Department Director at the University of Hertfordshire. Awards: ACM Distinguished Speaker Grants: ESA-funded projects on sonar imaging (2014–2016), IMFUSING (2014–2017) Labs/Teams: Active in interdisciplinary teams focusing on hybrid systems and end-user development
Ketil Stølen is a Professor at the University of Oslo's Department of Informatics and an Adjunct Professor in Computer Science. His roles include Chief Scientist at SINTEF Digital and leadership in numerous research projects focusing on cybersecurity, risk analysis, and formal methods. He holds a PhD from the University of Manchester (1990) and a Cand Scient from the University of Oslo (1986). His research interests span software engineering, formal methods, and model-driven security analysis. He has led major projects such as the Gemini Centre on IoT, the CORAS risk analysis framework, and the CORAS tool development. Stølen has authored several books including Cyber-Risk Management (Springer, 2015) and Technology Science (Springer, 2023). His work emphasizes rigorous approaches to security testing, risk assessment, and system design. He has supervised multiple PhD graduates and taught courses on formal methods and cybersecurity at the University of Oslo and other institutions. His contributions include pioneering methods like the CORAS approach for security risk analysis and the STAIRS framework for UML sequence diagrams. He is an elected member of the Norwegian Academy of Technological Sciences. Notable projects include the AGRA risk assessment initiative and the EMERGENCY decision support system for crisis management. His research bridges theoretical formalisms with practical applications in critical infrastructure and emergency response systems.
Åsmund Aqissiaq Arild Kløvstad is a Research Fellow at the University of Oslo's Department of Reliable Systems within the Faculty of Mathematics and Natural Sciences. His work focuses on formal methods, software engineering, and systems reliability. He is involved in the project BedreFlyt: A Digital Twin for Resource Planning in Healthcare , demonstrating expertise in healthcare informatics and resource optimization. Kløvstad’s research intersects theoretical computer science with practical applications in concurrency, formal verification, and algorithmic correctness. While specific educational background details are not provided, his publications indicate advanced expertise in programming languages, symbolic execution, and formal semantics. No awards or student advisement roles are explicitly listed, though his contributions to peer-reviewed journals highlight active research engagement.
Lise Rye is a Professor of Contemporary European History at NTNU's Department of Historical and Classical Studies, Faculty of Humanities. She concurrently held an Adjunct Professorship at the University of Agder (2021-2023). Her research focuses on European integration, EU-EFTA dynamics, Norway's EU relations, and democratic legitimacy in Europe. She leads NTNU's European Studies programs and coordinates initiatives like the Jean Monnet module on differentiated integration. Education: Ph.D. in History from NTNU (2004), with expertise in EU institutional history and Nordic-EU relations. Research Interests: European integration history, EEA agreement analysis, Euroscepticism, democracy and rule of law in EU governance . She explores how integration processes impact national and supranational democracy, with a focus on Norway's unique position outside EU membership. Recent work emphasizes Norway's autonomy within the EEA framework and EU legitimacy challenges. Her book A Short Introduction to EU History (2022) contextualizes EU evolution for Norwegian audiences. Grants and Projects: RECONNECT (EU-funded study on democracy/rule of law mismatches, 2018-22), EFTA-EC archival research (1973-1994), and the Jean Monnet module on differentiated integration (2018-21). Outreach: Co-hosts the Det europeiske kvarter podcast, analyzing EU history and politics. Serves on boards including the Holberg Prize and the Centre Universitaire de Norvège à Paris.
Ingrid Chieh Yu is an Associate Professor in the Department of Informatics at the University of Oslo, where she also serves as Head of Research and Vice Head of Department (2021-2024) and Deputy Centre Director of SIRIUS. Her academic home is within the Data and Knowledge Management (DKM) research group, with additional affiliations to the Concurrent Security and Robustness for Networked Systems (ConSeRNS) initiative. Professor Yu's research spans multiple domains in computer science, with early work focused on formal methods, software product lines, and concurrent systems. In recent years, her research has expanded significantly into explainable AI, counterfactual explanations, and machine learning interpretability. She has made substantial contributions to feature model evolution, software configuration, and model checking techniques. Her work demonstrates a consistent thread of applying formal methods to practical software engineering challenges, with a notable pivot toward AI explainability in the past five years. Her publication record shows a clear evolution from foundational work in software engineering and formal methods (2006-2015) to increasingly AI-focused research (2016-present). The most recent publications (2020-2025) predominantly address explainable AI, counterfactual explanations, and robust recourse methods, reflecting her adaptation to emerging challenges in machine learning. She maintains strong collaborative relationships with researchers including Einar Broch Johnsen, Crystal Chang Din, and Peyman Rasouli. Professor Yu teaches core computer science courses including INF2220 Algorithms and Data Structures, INF3230 Formal Modeling and Analysis of Communicating Systems, and INF5130 Selected Topics in Rewriting Logic. Her teaching reflects her research expertise, bridging theoretical foundations with practical applications. She leads significant research projects including HyVar: Scalable Hybrid Variability for Distributed Evolving Software Systems and Leveraging Energy-Aware Programming (LEAP), demonstrating her capacity to secure and manage substantial research initiatives. Her work with the SIRIUS center indicates strong industry connections and applied research focus.
Nina Elisabeth Larsgård is a Doctoral Research Fellow at the Section for Meteorology and Oceanography, Faculty of Mathematics and Natural Sciences, University of Oslo, where she conducts research at the intersection of cloud physics, observational meteorology, and data infrastructure. Her academic credentials include a Master of Science in Meteorology from the University of Oslo (2008), with thesis research on "Characteristics of cirrus clouds over ALOMAR and their dependence on atmospheric conditions," and a Bachelor of Science in Physics, Astronomy, and Meteorology (2006), specializing in Meteorology. Larsgård's research program centers on cloud microphysics—particularly cirrus cloud dynamics—and the application of in-situ instrumentation and remote sensing technologies for atmospheric monitoring. She maintains specialized expertise in metadata standardization, data quality assurance protocols, and end-to-end data management systems, developed through extensive operational experience. Prior to her doctoral studies, she served 14 years as a Scientific Advisor at the Norwegian Meteorological Institute (2008-2022), managing weather station networks and international data collaborations within the Division for Observation Quality and Data Processing. Concurrently, she worked part-time as a State Meteorologist (2013-2017), integrating forecasting practice with data stewardship. She actively contributes to the Meteorology research group at the University of Oslo, focusing on observational methodologies and data integrity frameworks essential for climate modeling and weather prediction systems.
Wassim R. Rustom serves as a Marie Skłodowska-Curie Global Fellow at the Department of Literature, Area Studies and European Languages, University of Oslo, with concurrent visiting appointments at Bard College's Literature Program (October 2023–May 2024) and the University of Pennsylvania's Department of English (June 2024–September 2025). His academic foundation includes a PhD in English Literature from the University of Bergen, where his dissertation "Towards a Literary Poetics of Use: Romantic, Aesthetic, Modernist" established his interdisciplinary approach across literary periods. Rustom's research critically examines temporal structures of labor in modernist texts, analyzing how British and American writers use experimental chronology to interrogate socio-historical transformations in work practices. His scholarship bridges Romantic philosophy, aesthetic theory, and modernist innovation to explore the writer's occupational identity within evolving labor economies. His 2023 publications reveal consistent thematic threads: temporal cognition in Wordsworth's poetry and cross-period investigations of literary "use," demonstrating methodological rigor in connecting poetics to socio-labor frameworks. His scientific recognition features: Marie Skłodowska-Curie Global Fellowship (Grant 101105988) He currently directs the "TimeWorks | Modernist Occupations" project funded by the Marie Curie Actions grant, investigating time-consciousness in literary imagination. No student supervision details are publicly documented. The project operates without dedicated laboratory infrastructure but leverages institutional resources at partner universities.
