جست‌وجوی استاد و پژوهشگر

• Vocational Education and Training
• Career Counselling
• Aesthetics
• +۸ مورد دیگر

Jeanine van Halteren serves as Assistant Professor at the Department of Vocational Teacher Education within Oslo Metropolitan University's Faculty of Education and International Studies. Her office is located at Kunnskapsveien 55, Kjeller (Office KD332) with contact details +47 672 35 379 and jeanine.vanhalteren@oslomet.no. She concurrently holds the administrative role of Head of Studies for Area of responsibility 2. Her research program centers on Vocational Education and Training in traditional crafts, investigating cultural heritage preservation, innovation in design-craft-product development, and inclusion dynamics among apprentices. Parallel work explores Aesthetics in career counselling through critical thinking, reflexivity, and creative methodologies. Subject areas span Life Stories/narratives, Art/crafts/culture, Diversity and Inclusion, and Sustainability. She actively contributes to research groups including Design Literacy, Education and Society, KunstForsk (Arts-based research), Learning in diversity perspectives, and Philosophy/Art/Culture. Analysis of her 2019-2023 publications reveals dominant themes: career counselling for marginalized populations using metaphors and aesthetic frameworks, safeguarding traditional crafts through apprentice perspectives, and navigating cultural-technological intersections in vocational training. Her work consistently integrates social justice, narrative analysis, and reflexivity across contexts from youth mobility to disruptive global changes. Dr. van Halteren's research ecosystem includes the Design Literacy group examining craft-innovation synergies, KunstForsk advancing arts-based methodologies, and the Learning in diversity perspective team developing inclusive qualification frameworks. These groups collectively address vocational identity formation amid technological disruption and cultural preservation challenges.

Silvia Lizeth Tapia Tarifaمشاهده پروفایل

دانشیار

• Formal methods
• Distributed systems
• Parallel computing
• +۷ مورد دیگر

Silvia Lizeth Tapia Tarifa is an Associate Professor in the Department of Informatics at the University of Oslo, specializing in formal methods for parallel and distributed systems. She serves as one of the principal investigators for the NFR SJM (Smart Journey Mining) project, which runs until 2026, and actively participates in Digital Twins research with a focus on GDPR-compliant data management. Her academic affiliations include the Reliable Systems research group and the Analytical Systems and Reasoning (ASR) group at the Department of Informatics. Professor Tapia Tarifa's research spans formal methods, concurrency theory, and distributed systems with particular emphasis on self-adaptive systems, semantics of concurrent languages, compositional reasoning about distributed system behavior, and formal modeling of resource usage. Her work bridges theoretical computer science with practical applications in digital twins, GDPR compliance, and resource management in distributed environments. She has made significant contributions to the ABS language framework and active object models for parallel and distributed computing. Her publication record shows a consistent focus on formal verification techniques applied to emerging challenges in distributed computing. Recent work demonstrates increasing attention to digital twins technology, user journey modeling, and privacy-preserving systems. The research trajectory reveals evolution from foundational work on concurrent language semantics toward applied research in self-adaptive systems and GDPR-compliant architectures, while maintaining strong theoretical underpinnings in formal methods. Young Research Talent grant from Research Council of Norway (2017), the only computer science grant in that call Fellow at United Nations University, International Institute for Software Technology (2007) Active participation in formal methods community as general chair, PC chair, and committee member Professor Tapia Tarifa has supervised PhD and master's students while teaching graduate-level courses. She has led significant research initiatives including the Analysis and Complex System Research Program at SIRIUS Center (ended 2023) and the EU MSCA-ITN REMARO project on Reliable AI for Marine Robotics (ended 2024). Her current research portfolio includes multiple active grants focused on digital twins, user journey analysis, and privacy-preserving distributed systems. She collaborates extensively with researchers across Europe through various EU-funded projects including FP7 ENVISAGE, FP7 FET UpScale, and FP7 FET HATS. Her research activities are centered around the ABS language framework and its applications to distributed systems verification. She maintains active collaborations through the SIRIUS Center and participates in the international formal methods community through conference organization and program committees.

Crystal Chang Dinمشاهده پروفایل

دانشیار

• Formal Methods
• Software Verification
• Didactics
• +۳ مورد دیگر

Crystal Chang Din is an Associate Professor at the Department of Informatics, University of Bergen. Her research focuses on formal methods, software verification, and didactics. She has organized conferences such as the KeY Symposium 2023 and served as PC Chair for FTfJP 2025. Her work includes developing verification tools like KeY-ABS and exploring concurrency semantics in programming languages. She teaches courses including INF113 (Operating Systems) and INF100 (Introduction to Programming). Notable contributions include modular reasoning systems for code reuse and runtime enforcement frameworks. She advises master’s students such as Eirik Halvard Sæther and Ida Sandberg Motzfeldt. Her publications span topics like feature model evolution, deadlock detection, and concurrent programming semantics. She has contributed to international journals like Formal Aspects of Computing and conferences such as NWPT and iFM. Her research emphasizes practical applications in distributed systems and formal verification techniques.

• Nursing Education
• Bioscience Education
• Informal Learning
• +۳ مورد دیگر

Victoria Oppegaard Berre serves as an Assistant Professor in the Department of Nursing and Health Promotion within the Faculty of Health Sciences at Oslo Metropolitan University. She concurrently holds the administrative role of Head of Studies for Area of Responsibility 4, overseeing critical aspects of the nursing education program. Her research centers on informal learning dynamics among nursing students in bioscience contexts, specifically investigating student-driven activities occurring outside formal classroom settings. Dr. Berre examines how digital learning methods are utilized in self-directed educational scenarios, with particular focus on the characteristics and effectiveness of these unstructured learning environments. This work bridges nursing pedagogy and educational technology to enhance clinical bioscience instruction. Her 2024 publication in Nurse Education Today presents an integrative review of self-directed learning in bioscience within nurse education, synthesizing current evidence to identify effective practices and research gaps. The study highlights how student-initiated learning in informal settings complements formal instruction in developing clinical bioscience competencies. Currently leading the research project "Outside the auditorium – characteristics of informal learning situations among nursing students in bioscience," she systematically maps student engagement with digital resources and peer collaboration in autonomous learning contexts. This initiative provides empirical foundations for modernizing nursing curricula through evidence-based educational strategies.

• Programming models
• Formal methods
• Distributed systems
• +۳ مورد دیگر

Einar Broch Johnsen is a Professor at the Department of Informatics, University of Oslo. His research focuses on programming models, formal methods, and distributed systems, with significant contributions to languages like ABS and SMOL. He has led major projects including the Sirius Center (2015-2023) and EU initiatives Envisage and HyVar. His work spans asynchronous systems, cloud computing, and digital twins, emphasizing rigorous verification techniques. Recent publications show a trend toward AI integration, robotics, and knowledge-based systems, blending formal methods with practical applications in autonomous decision-making and semantic validation. Johnsen holds editorial and committee roles for journals including Formal Aspects of Computing and conferences like FASE and iFM. He teaches courses on computability and concurrency models, advancing both theoretical and applied aspects of software engineering.

• Nuclear Energy
• Renewable Energy Systems
• Clean Aviation
• +۵ مورد دیگر

Jonas Kristiansen Nøland is a Full Professor of Energy Conversion at NTNU and holds a concurrent position as Professor II at USN. He is a senior member of IEEE and leads research initiatives such as NTNU's Clean Aviation program and the SysOpt hydropower project. His academic journey includes a PhD in Engineering Physics from Uppsala University (Ångström Laboratory) and participation in NTNU's Outstanding Academic Fellows Programme since 2022. Research interests focus on modern nuclear energy (SMRs/4th gen), clean aviation (e-fuels/battery/hydrogen-electric), hyperloop technology, superconductivity, and grid resilience. He serves as an Associate Editor for IEEE Transactions on Energy Conversion, Industrial Electronics, and Transportation Electrification, and chairs the IEEE Power and Energy Society Norway Chapter. His work often bridges academia and industry, addressing global energy challenges via advanced electrical systems, renewable integration, and disruptive transportation technologies. Key contributions include studies on SMR grid roles, battery-electric aircraft feasibility, and hyperloop technical viability. He advises doctoral candidates on topics like superconducting motors and energy systems optimization.

• Marketing
• Media Innovation
• Communication
• +۲ مورد دیگر

Mona Solvoll serves as Associate Professor in the Department of Marketing at Kristiania University of Applied Sciences' School of Communication, Leadership and Marketing, where she concurrently holds the position of Associate Dean for the Master's program in Markedsføringsledelse (Marketing Management). Her academic qualifications include: Ph.D. in Organisational Theory from BI Norwegian Business School (2009) Prior studies in Media and Communication at the University of Oslo Research centers on media innovation, digital communication ecosystems, and platform-driven marketing transformation , integrating organisational theory with contemporary digital challenges. Her scholarly work examines how emerging technologies reshape consumer engagement and strategic communication frameworks within evolving market landscapes. As Associate Dean, she provides academic leadership for the Marketing Management program while teaching across undergraduate and graduate curricula. Her administrative responsibilities encompass curriculum development and program oversight that bridges theoretical marketing principles with practical digital industry applications.

Einar Broch Johnsenمشاهده پروفایل

استاد

• Programming Models
• Formal Methods
• Concurrency
• +۳ مورد دیگر

Einar Broch Johnsen is a Professor at the Department of Informatics , University of Oslo . His research focuses on formal methods , distributed systems , and digital twins , with applications in cloud computing , robotics , and healthcare . Leadership: Strategy Director of SIRIUS (2015-2023), Coordinator of EU projects Envisage and HyVar . Community Roles: Board member of Formal Methods Europe , editorial board member of Formal Aspects of Computing , and chair of conferences like FM 2015 and FASE 2022 . His recent work explores symbolic execution , probabilistic logic , and self-adaptive systems , as reflected in his 15 most recent publications . He teaches courses such as IN2031 – Project in Programming and IN5170: Models of Concurrency .

Jacquelyn Allen-Collinsonمشاهده پروفایل

استاد

• The sociology of the senses in sport and exercise
• Phenomenological explorations of sporting embodiment
• Feminist phenomenology and women's sporting experience
• +۳ مورد دیگر

Professor Jacquelyn Allen-Collinson is a prominent academic at the University of Lincoln, serving as Professor in Sociology & Physical Culture within the School of Sport & Exercise Science. She concurrently directs the Health Advancement Research Team (HART), leading interdisciplinary research initiatives focused on embodiment, health, and physical culture. Her research program centers on: The sociology of the senses in sport and exercise Phenomenological explorations of sporting embodiment Feminist phenomenology and women's sporting experience Embodiment in high-altitude mountaineering Weather work and sporting embodiment The lived experience of asthma and sporting/exercise embodiment Professor Allen-Collinson's scholarly output reveals a consistent methodological commitment to sociological phenomenology across diverse physical contexts including competitive swimming, distance running, dance, women's boxing, and high-altitude mountaineering. Her work demonstrates particular expertise in how environmental factors like weather and temperature shape embodied sporting experiences through concepts such as 'weather work' and 'temperature work.' She has made significant contributions to qualitative research methodology, especially regarding reflexivity and bracketing in phenomenological inquiry. As Director of HART, she bridges academic research with practical applications in community health settings, examining identity work among health trainers and barriers to physical activity participation. Her collaborative research network spans multiple institutions and disciplines, reflecting the interdisciplinary nature of her work at the intersection of sociology, phenomenology, and physical culture studies.

• Pain Management
• Orthopedic Surgery
• Postoperative Care
• +۲ مورد دیگر

Janne Kristin Hofstad serves as Assistant Professor at NTNU's Department of Public Health and Nursing (Faculty of Medicine and Health Sciences), concurrently completing her PhD in 2024. Her clinical research is anchored at St. Olavs Hospital, focusing on orthopedic surgery outcomes. Research interests center on postoperative pain dynamics in fast-track arthroplasty, with specific expertise in opioid consumption patterns, local anesthesia efficacy, and patient-reported recovery metrics. Her methodology prioritizes prospective cohort designs and randomized trials within hip/knee replacement pathways. Publication trends (2015-2025) demonstrate evolving scale from small RCTs (n=96 in 2022) to large registries (n=7330 in 2025), consistently comparing hip versus knee outcomes while integrating digital follow-up tools. No scientific awards are documented in the source material. Though student mentorship isn't explicitly recorded, her collaborative work involves orthopedic, anesthesia, and nursing teams at St. Olavs Hospital. Research appears institutionally funded through NTNU-St. Olavs clinical partnerships rather than discrete grants. She contributes to St. Olavs' Fast-Track Orthopedic Program, particularly in preoperative preparation simulation and post-discharge monitoring systems.

Vegard Heimly Brunمشاهده پروفایل

دانشیار

• Endocrine Surgery
• Thyroid Surgery
• Parathyroid Disorders
• +۵ مورد دیگر

Vegard Heimly Brun serves as an Associate Professor at UiT The Arctic University of Norway, actively engaged with the Breast and endocrine surgery research group. He concurrently participates in the Gastrosurgery and Neurobiology research groups while contributing to the LevDOSE project focused on optimizing thyroid hormone replacement therapy. His research spans two distinct domains: contemporary endocrine surgery and foundational neuroscience. In surgical research, he pioneers advanced imaging techniques for parathyroid localization, develops patient-specific levothyroxine dosing algorithms, and investigates decision-making protocols for thyroidectomies. His neuroscience work explores growth hormone's modulation of hippocampal spatial memory, dendritic spine plasticity, and fear conditioning mechanisms. This dual expertise bridges clinical innovation with fundamental neurobiological inquiry. Publication analysis (2015-2025) reveals an evolutionary trajectory from neuroscience-focused investigations (2015-2019) toward clinically applied endocrine surgery research (2021-2025). Recent work emphasizes surgical innovation in thyroid/parathyroid disorders through pharmacokinetic modeling and multimodal imaging, while earlier contributions established critical links between hippocampal growth hormone signaling and memory processes. This progression demonstrates translational research spanning basic science to surgical practice. No scientific awards were documented in the source materials. While no student advising relationships or specific grant funding details were disclosed, his collaborative publications across medical and neuroscience disciplines indicate extensive interdisciplinary engagement. The LevDOSE project represents a significant clinical research initiative in personalized endocrine therapy. Dr. Brun operates within UiT's multidisciplinary research ecosystem through three primary groups: the Breast and endocrine surgery research group (focusing on surgical oncology and endocrine disorders), the Gastrosurgery group (addressing gastrointestinal malignancies), and the Neurobiology group (investigating fundamental memory mechanisms). His laboratory work integrates clinical surgical practice with basic neuroscience methodologies, particularly in hippocampal function and hormone-brain interactions.

Lars Ailo Bongoمشاهده پروفایل

استاد

• Operating Systems
• Concurrent Programming
• Data-intensive Computing
• +۵ مورد دیگر

Lars Ailo Bongo is a Professor at the Department of Computer Science, UiT The Arctic University of Norway. His research interests span operating systems, concurrent programming, data-intensive computing, and applications of machine learning in healthcare and bioinformatics. He has been actively involved in teaching courses such as Operating Systems, Concurrent Programming, and Algorithms, emphasizing open-access educational materials. Notably, three of his master’s students received awards for their theses: Nina Angelvik (2018), Bjørn Fjukstad (2014), and Martin Ernstsen (2013). He also advises students like Johan Ravn, whose master’s project led to a startup. Bongo’s work includes developing scalable bioinformatics pipelines (e.g., NeLS infrastructure), optimizing genomics workflows, and advancing tools for medical image analysis. He pioneered open-access course repositories on GitHub and contributed to visualization frameworks like GeneNet VR. His research bridges computer science with healthcare, focusing on tumor infiltration lymphocyte analysis, AI-driven diagnostics, and ethical AI applications in mental health. He has held roles as a postdoc at Princeton and TA at the University of Tromsø. His scientific contributions span over 50 peer-reviewed articles, covering topics from parallel computing to synthetic health data interoperability. He emphasizes reproducibility and transparency in data management, exemplified by projects like Occode for historical data transcription and MORTAL language for cross-paradigm computing. In education, Bongo advocates for accessible teaching materials and has designed courses like INF-2202 Concurrent Programming, which utilize modern tools (e.g., Go language) and GitHub repositories. His teaching philosophy integrates practical coding with theoretical foundations, fostering student innovation and open-source collaboration.

Mateus De Oliveira Oliveiraمشاهده پروفایل

دانشیار

• Theoretical Computer Science
• Automated Theorem Proving
• Parameterized Complexity
• +۳ مورد دیگر

Mateus De Oliveira Oliveira is an Associate Professor in the Department of Informatics at the University of Bergen. His research focuses on theoretical computer science, automated theorem proving, parameterized complexity, formal verification, graph theory, and computational logic. His work spans algorithm design for constraint satisfaction problems, automated reasoning systems, and formal verification techniques. Notable contributions include advancements in width-based automated theorem proving, Petri net synthesis, and parameterized complexity analysis for graph algorithms. He leads the Autoproving project funded by the Research Council of Norway, exploring automated theorem proving through parameterized complexity theory. Recent publications highlight developments in symbolic functional decomposition, state canonization for theorem proving, and optimal dynamic programming algorithms. His research bridges foundational theory with practical applications in automated systems and formal methods.

• 6G Networks
• IoT Networks
• Satellite Communications
• +۵ مورد دیگر

Tu Dac Ho is an Associate Professor at the Department of Information Security and Communication Technology (NTNU) since 2023 and concurrently serves as an Associate Professor at the Department of Electrical Engineering, Arctic University of Norway (UiT) since 2019. He holds an MSc (2005) and PhD (2011) from Waseda University, Tokyo, specializing in wireless communications. His research focuses on 6G networks, autonomous vehicle communications, satellite-air-ground integrated networks (SAGIN), and ethical AI-driven healthcare systems. He has led or participated in multiple projects funded by Norway’s Research Council and the EU Horizon program. His competencies include AI-enabled Radio Access Networks (AI-RAN), B5G/6G systems, and maritime radio communications. He actively reviews for IEEE, Elsevier, and other publishers, and serves on editorial boards, including Modern Subsea Engineering and Technology . Key contributions include over 60 peer-reviewed publications, conference presentations (e.g., IEEE GLOBECOM), and innovations in edge computing for healthcare. His work bridges theoretical wireless communication advancements with practical applications in healthcare and autonomous systems.

• E-learning
• Instructional Design
• Computer-Supported Cooperative Work
• +۳ مورد دیگر

Knut Arne Strand is an Associate Professor at the Department of Computer Science, Norwegian University of Science and Technology. He focuses on e-learning design, instructional methodologies, and collaborative educational systems, with a career spanning two decades of research and teaching in digital learning environments. MS in Informatics (1994), University of Trondheim PhD in Information Technology (2012), Norwegian University of Science and Technology His research explores concurrent design in educational contexts, distributed collaboration frameworks, and problem-based learning innovations. Recent work examines refugee education through NGO-led entrepreneurship programs and automated coding style feedback for programming courses. Publications reveal consistent focus on instructional design and educational technology across 15 years, with recurring themes in collaborative learning , curriculum development , and digital learning infrastructure . Strand frequently collaborates with Norwegian educational institutions and international partners.