Find Academic Supervisors

• Computational Engineering
• Geometric Modeling
• Sensor Technology
• +3 more

Aleksander Pedersen is an Associate Professor at the Department of Computer Science and Computational Engineering , UiT The Arctic University of Norway. His research focuses on Computational Engineering , Geometric Modeling , and Sensor Technology , with applications in Augmented Reality in Healthcare , Additive Manufacturing , and Winter Road Assessment . Fields of Interest Computational Engineering Geometric Modeling Sensor Technology Augmented Reality in Healthcare Additive Manufacturing Simulation-based Education Pedersen's recent work includes 2024 studies on AR projections for medical simulations and optimization in additive manufacturing , while earlier studies (2020–2015) explore spline-based modeling , sensor fusion for winter roads , and subsurface visualization . He collaborates with researchers like Tanita Fossli Brustad, Rune Dalmo, and Børre Bang, and is affiliated with the Simuleringer research group at UiT. His contact email is aleksander.pedersen@uit.no .

• Computer Science
• Software Engineering
• Process Analysis
• +5 more

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 .

• Model-Driven Engineering
• Formal Methods
• Business Process Modeling
• +5 more

Professor Yngve Lamo is a faculty member at Western Norway University of Applied Sciences (HVL) in the Department of Computer Science, Electrical Engineering and Mathematical Sciences. His research spans formal methods, model-driven engineering, and healthcare information systems with a particular focus on business process modeling and mental health technology applications. Institution: Western Norway University of Applied Sciences Department: Computer Science, Electrical Engineering and Mathematical Sciences Location: Bergen KRONSTAD D410 Contact: +47 55 58 75 67 Professor Lamo's research focuses on formal methods in software engineering, particularly model-driven engineering approaches for business process modeling and analysis. His work demonstrates significant contributions to BPMN formalization using graph transformation systems, multi-model consistency management, and healthcare information systems. He has developed tools like the Visual Debugger and BPMN Analyzer 2.0 that provide practical solutions for model analysis and verification. His publication trends reveal a strong focus on applying formal methods to healthcare systems, particularly in mental health technology. Recent work (2022-2024) shows increasing emphasis on privacy-preserving data analysis, adaptive mental health systems, and multi-dimensional health data frameworks. His research bridges theoretical computer science with practical healthcare applications, demonstrating consistent productivity with numerous publications each year across top venues in software engineering and health informatics. Professor Lamo has made significant contributions to model-driven engineering, particularly in the areas of BPMN analysis, multi-model consistency, and healthcare information systems. His work on the Visual Debugger tool and BPMN Analyzer 2.0 represents practical applications of his theoretical research in formal methods. His research program demonstrates strong continuity in model-driven engineering approaches while expanding into healthcare applications. Current projects focus on adaptive technology for mental health care, privacy-preserving data analysis for health systems, and advanced techniques for multi-model consistency management. Professor Lamo's work shows strong interdisciplinary collaboration, particularly between computer science and healthcare domains.

Martyna Katarzyna FojcikView profile

Researcher

• Computer Science Education
• STEM Education
• Digital Learning Technologies
• +3 more

Martyna Katarzyna Fojcik is a researcher at Western Norway University of Applied Sciences, focusing on innovative educational practices in STEM fields. Her work emphasizes digital learning technologies, programming pedagogy, and the integration of soft skills in engineering education. Co-authored studies with Marcin Andrzej Fojcik, Jon Øivind Hoem, and others Published in areas like programming challenges, robotics in teaching, and digital assessment Her research explores didactical methods for teaching computer programming, the impact of digital tools on learning, and strategies for enhancing student engagement in STEM. She has contributed to studies on assessment performance, project-based learning, and sustainable development in education. Recent publications analyze trends in digital education, teacher experiences with programming integration, and the role of technology in reshaping curricula. She collaborates extensively with colleagues like Bjarte Pollen and Olav Sande on educational innovations. While no specific awards or grants are listed, Fojcik's work reflects ongoing efforts to modernize teaching practices and address challenges in interdisciplinary education.

• Flipped Learning
• Digital Learning Resources
• History

Associate Professor Joar Sande is affiliated with the Department of Computer Science, Electrical Engineering and Mathematical Sciences at Western Norway University of Applied Sciences (HVL). He teaches courses in linear systems, control systems, business economics, and other engineering subjects while focusing on student-active learning methods. His research emphasizes flipped learning and the development of digital learning resources , blending pedagogical innovation with historical topics. Recent publications highlight local history, AI integration, and climate/national identity themes in Norway. While no formal awards are listed, his work bridges technology and humanities, reflecting interdisciplinary interests in education enhancement and historical communication.

• Antibiotics
• Population Biology
• Biochemistry
• +7 more

Pia Abel zur Wiesch is an Associate Professor and Early Career Chair at The Pennsylvania State University, with additional affiliations as a Visiting Researcher at UiT The Arctic University of Norway and a Young Associate Investigator at NCMM (Nordic EMBL partnership). Her work bridges computational pharmacology, antibiotic resistance, and infectious disease dynamics. University: The Pennsylvania State University Department: Computational Pharmacology Additional Affiliations: UiT The Arctic University of Norway, NCMM Her research focuses on: Antibiotic resistance evolution Pharmacodynamic and pharmacokinetic modeling Tuberculosis treatment optimization Population biology of pathogens Mechanistic modeling of drug-target interactions Public health implications of antibiotic use Recent publications highlight her work in optimizing antibiotic dosing strategies, analyzing tuberculosis outcomes, and developing computational tools like vCOMBAT for modeling bacterial drug resistance. Her studies integrate biochemical kinetics and mathematical modeling to address clinical challenges. Scientific contributions include: Advancing understanding of antibiotic heteroresistance Elucidating fitness costs of resistance mutations Investigating treatment adherence in tuberculosis Developing models for bacterial elimination kinetics Quantifying immune interactions in infection dynamics She has mentored researchers such as Fabrizio Clarelli, Pierre Ankomah, and Howard Weiss, and her work is supported by collaborations across institutions in Europe and the U.S.

• Ocean Engineering
• Offshore Structures
• Ice-Structure Interaction
• +5 more

Torodd Skjerve Nord serves as an Associate Professor in the Department of Ocean Operations and Civil Engineering at the Norwegian University of Science and Technology (NTNU), with his office located in Ålesund. His academic work focuses on the critical intersection of ocean engineering, structural dynamics, and Arctic conditions, particularly studying ice-structure interactions and offshore renewable energy systems in challenging marine environments. Dr. Nord's research interests span several specialized areas in marine and Arctic engineering: Ice-structure interaction mechanics and dynamics with focus on lighthouse structures Offshore wind energy systems, particularly floating wind turbine installation techniques Structural dynamics and vibration analysis of marine infrastructure including ferry docks and bridges Advanced modal parameter identification techniques for ice-structure interactions Marine operations in Arctic and sub-Arctic environments Finite element modeling and structural health monitoring of marine infrastructure His publication record shows a consistent research trajectory focused on understanding engineering challenges in cold marine environments. Recent work has strategically expanded to address renewable energy applications, particularly floating offshore wind technology, while maintaining his expertise in ice mechanics. His methodological approaches often combine experimental testing, sophisticated signal processing, and computational modeling for structural analysis. Notable case studies include the Norströmsgrund lighthouse, which appears as a recurring subject in his ice-structure interaction research. Dr. Nord has been actively involved in doctoral supervision, as evidenced by his role as advisor for Sunghun Hong's 2024 doctoral thesis on offshore installation of floating wind turbines. His collaborative work spans multiple institutions and involves researchers from various disciplines within marine and Arctic engineering. His research has significant practical applications for marine infrastructure design, Arctic offshore operations, and renewable energy development in challenging environments.

Terje Lauvaas AndersenView profile

Associate Professor

• Circular Economy
• Supply Chain Management
• Digital Technology Integration
• +3 more

Terje Lauvaas Andersen is an Associate Professor in Supply Chain Management at the Logistics Department , Molde University College . With a PhD in Logistics (2022) and a Master's in Computer Science (University of Bergen), his expertise bridges digital technology and sustainability. He teaches courses including Digital Business Management, Project Planning and Control, ERP systems, and IoT applications in supply chains. PhD in Logistics (2022), Molde University College Master's in Computer Science (University of Bergen) 30+ years of ICT management experience in industry and academia His research focuses on digital technology's role in circular economy transitions , particularly in e-waste handling and WEEE directive compliance. Key themes include information systems integration, master data management, and blockchain applications for green supply chains. Current projects examine how manufacturers can enable circularity through digital solutions. Recent publications highlight trends in reverse supply chain information flow (2023), cross-national WEEE directive variations (2022), and Edge&DL models for product circularity (2021). His work connects digital transformation with environmental sustainability through case studies and comparative analyses. Terje has conducted research stays at the RISE Institute, University of Brescia (2022, 2024), exploring digital-circular economy interdependencies. He contributes to the Digitization for Sustainability and Sustainable Communities research groups, with industry experience including 15 years as IT Manager at Glamox and 8 years at Molde University College.

• Measurement Science
• Industrial Instrumentation
• Electromagnetism
• +4 more

Associate Professor Emil Cimpan is affiliated with the Department of Computer Science, Electrical Engineering and Mathematical Sciences at Western Norway University of Applied Sciences (HVL). His research spans multiple engineering domains with a focus on applying electrical measurement principles to solve problems in industrial and biomedical contexts. Dr. Cimpan's research expertise includes: Measurement Science and Industrial Instrumentation based on electrical principles and electromagnetism Mathematical modeling, Automation, and Control System Engineering Electronics and Power Systems engineering Nanotoxicity testing methodologies using electrochemical techniques His recent publications demonstrate a clear research trajectory toward developing novel instrumentation methods for both industrial applications and biomedical safety assessment of nanomaterials. The work bridges traditional electrical engineering with cutting-edge applications in nanotechnology and biomedicine. Dr. Cimpan teaches several advanced engineering courses including: Advanced Control System Engineering Power System Modeling, Analysis, and Stability Cyber-physical systems and IoT (Fall 2024) Control Systems Engineering 1 & 2 He leads the HVL Sensor networks and measurement science research group and collaborates with the University of Bergen (UiB) on Biomaterials - nanosafety research, demonstrating strong interdisciplinary engagement across institutions.

• Property law
• Land use planning
• Argumentation theory
• +3 more

Professor Sjur Kristoffer Dyrkolbotn is affiliated with the Department of Civil Engineering and Environmental Sciences at Western Norway University of Applied Sciences . His academic work bridges property law , land use planning , and formal logic , with a focus on causality and argumentation in legal and computational contexts. Teaches courses like Clarification of property boundaries (LEI123) and Law of land consolidation (LEI301) Supervises master's theses in real property and planning Research Interests : Combines legal analysis with artificial intelligence methodologies, particularly using modal logic to model argumentation frameworks. Key areas include expropriation compensation , land acquisition , and causal reasoning in legal decision-making. Publication Trends : Recent works (2015-2017) focus on legal logic , compensation mechanisms , and modal reasoning applied to property law and land administration systems.

• Virtual Reality
• Eye-Tracking
• Healthcare Technology
• +4 more

Professor Ilona Heldal at Western Norway University of Applied Sciences' College of Engineering leads research at the intersection of virtual reality, eye-tracking, and healthcare technology. Her work spans educational applications (fire evacuation training), neurodiverse child development (EMPOWER platform, ADHD detection), and rehabilitation technology design. Current research synthesizes VR training systems for emergency responders with cognitive assessment frameworks for neurodevelopmental disorders Key trends show increasing focus on multi-modal data fusion (eye-tracking + serious games) and adaptive learning systems for special education Her recent publications demonstrate strong emphasis on practical implementation and interdisciplinary validation of digital health solutions, particularly for vision screening and executive function assessment.

• landscape ecology
• invasive species
• species distributions
• +4 more

Julien Martin Marie Vollering is a Postdoctoral Fellow in the Department of Civil Engineering and Environmental Sciences at Western Norway University of Applied Sciences (HVL). His current research focuses on carbon stock measurements in Norwegian peatlands and peat depth mapping methods through the Repeat project. His educational background includes a Ph.D. from the University of Oslo Natural History Museum investigating alien conifer species spread (using Sitka spruce in Norway as a case study), with prior studies at Leiden University (Netherlands) and University of California, Berkeley (USA). Dr. Vollering's research spans landscape ecology , invasive species dynamics , and spatial modeling , utilizing advanced techniques in GIS, statistical computing (R), and species distribution modeling. His work integrates field measurements with computational approaches for ecosystem analysis. His recent publications demonstrate a strong trend toward methodological innovation in ecological modeling, particularly in improving spatial prediction accuracy for ecosystem types and species distributions. Key contributions include developing R packages for model selection and addressing bias in background point selection. His current work with the Repeat project represents applied research connecting peatland carbon storage with climate change mitigation strategies, extending his expertise in spatial ecology to critical environmental monitoring.

• Instrumentation
• Analog Electronics
• Digital Electronics
• +2 more

Mathias Christian Mathiesen is an Assistant Professor at the Department of Computer Science, Electrical Engineering, and Mathematical Sciences at Western Norway University of Applied Sciences (HVL). His field of work includes instrumentation, analog and digital electronics, electric circuit analyses, and LabVIEW programming. He teaches courses such as ING104, MAS128, ELE141 (Electrical and Electronic Fundamentals), ELE304 (PLC programming), MAS314 (Industrial System Programming), and ING2312 (by contract to Norwegian Defence University College). His research interests focus on applied electronics and industrial programming systems.

• Human-Centered AI
• Data Science
• Digital Transformation
• +5 more

Ilias Pappas is a Full Professor at the Department of Computer Science, Faculty of Information Technology and Electrical Engineering, Norwegian University of Science and Technology (NTNU), and also holds a professorship at the Department of Information Systems, University of Agder (UiA). His research spans data science, digital transformation, human-centered AI, user experience, digital marketing, and e-services, with a methodological focus on fuzzy-set Qualitative Comparative Analysis (fsQCA). His work emphasizes practical applications in public services, organizational innovation, and responsible AI deployment. Recent projects explore human-AI collaboration in welfare systems, algorithmic fairness, and employee-driven digital innovation, reflecting his commitment to bridging academic research with real-world impact in both public and private sectors. Pappas has published over 150 articles in top-tier journals including European Journal of Information Systems and Information & Management. Current research trends reveal a strong emphasis on citizen-centric AI design, transparency in public services, and configurational approaches to digital maturity models, often leveraging mixed-methods and fsQCA frameworks. Scientific recognition includes: ERCIM Fellow Marie Skłodowska-Curie Fellow He serves as Associate Editor for International Journal of Information Management and Journal of Business Research, while advising PhD candidates like Leif Erik Opland (2024) and Tumaini Kabudi (2023). Funded by Horizon Europe and the Research Council of Norway, his projects focus on human-centered AI, data analytics, and collaborative innovation platforms. As Chair of IFIP Working Group 6.11: Communication Aspects of the E-World, he leads international research on digital ecosystems, complementing his editorial roles and conference track chair positions at ECIS and AMCIS.

• Project Management
• Material Appearance Measurement
• 3D Imaging
• +5 more

Aditya Suneel Sole is an Associate Professor in the Department of Computer Science at the Norwegian University of Science and Technology (NTNU) , Faculty of Information Technology and Electrical Engineering. He serves as a Research Coordinator Project Manager Associate Director of CIE Division 1 Conference Chair Deputy Scientific Coordinator for the MSCA Doctoral Network Aditya holds a Master of Science in Digital Colour Imaging and a PhD in Computer Science . His research focuses on Material Appearance Measurement , 3D Imaging , and Color Science , particularly in Spectral and Geometric Analysis 3D Printing Reflectance Modeling Surface Property Reconstruction Gonio-spectrophotometry Research Grant Coordination His recent publications (2022-2025) emphasize 3D Object Quality Metrics White Core Thickness in Color Reproduction BRDF Estimation Accelerated Aging of Printed Materials Multi-layer Halftoning Entropy Evaluation in Mesh Simplification with applications in Cultural Heritage, Advanced Manufacturing, and Remote Sensing. He teaches IDATG1004/IDATA1004/IDATT1004 - Team-Based Collaboration and actively participates in outreach activities, including presentations at MANER Network Colour Leeds London Imaging Meeting Euspen Conferences