Gilbert Laporte is a Guest Lecturer at the Faculty of Logistics of Molde University College (Norway). His research focuses on logistics optimization, maritime transportation systems, and stochastic supply chain management. He collaborates actively with scholars like Homayoun Shaabani, Lars Magnus Hvattum, and Arild Hoff on complex routing and scheduling problems under uncertainty. Key research themes include inventory routing problems in maritime logistics, robust vessel planning under demand/weather variability, and optimization methodologies for supply chain stability. His work has been published in journals such as EURO Journal on Transportation and Logistics , Journal of the Operational Research Society , and Transportation Research Part C . Laporte contributes to the Energy Logistics Research Group (EneLog), addressing interdisciplinary challenges in energy and transportation logistics. His recent studies emphasize real-world applications of operational research techniques in maritime and supply chain domains.
Irina Gribkovskaia is a Professor at the Faculty of Logistics, Molde University College (Norway). Her research focuses on offshore energy logistics, vehicle routing and scheduling, mathematical optimization for logistics planning, and decision support systems under uncertainty. She leads the Energy Logistics Research Group (EneLog) and has collaborated on projects such as the Norwegian-Russian Arctic Logistics initiative. Her work addresses challenges in offshore oil/gas and renewable energy sectors, including supply vessel planning, helicopter transportation safety, and emissions reduction. Notable contributions include robust scheduling methods, fleet sizing strategies, and simulation-based optimization tools. Key projects include analyzing transit shipping via the Northeast Passage and tactical helicopter planning for offshore personnel. She has authored over 50 peer-reviewed articles in journals like Transportation Research and Omega , focusing on logistics optimization under uncertainty. Irina is a core member of multidisciplinary programs, including a Norwegian-Belarusian MSc in Logistics Analytics. Her research integrates operations research with real-world maritime and energy logistics systems.
Dinh Uy Tran is a Senior Lecturer and Researcher at the University of Oslo, affiliated with the Digital Security (SEC) research group. He holds a PhD in Cybersecurity from the same institution and serves as Head of Governance, Risk, and Compliance at Gritera Security. With over 10 years of experience in healthcare and information security, his expertise spans Incident Management, Risk Management, and Information Security Governance. His research focuses on Information Security Governance, Management, and Risk Management. Key publications include studies on holistic security posture analysis, opportunity-based risk approaches, and business-oriented security communication. He holds certifications such as CISSP, CISM, and ISO27001 Senior Implementer. Tran’s work bridges academic research and industry practice, emphasizing actionable governance frameworks and stakeholder communication. His contributions span cybersecurity theory and practical implementation in critical infrastructure and healthcare sectors.
Joakim Sundnes is a Chief Research Scientist and Research Professor at the Department of Scientific Computing, Simula Research Laboratory. He specializes in computational physiology, cardiac biomechanics, and mathematical modeling of cardiovascular systems. Key Research Areas: Cardiac electromechanics, computational fluid dynamics in cardiology, uncertainty quantification in cardiac models, and mechano-electric feedback mechanisms Recent Trends: Focus on patient-specific modeling, left atrial flow dynamics, right ventricular mechanics in pulmonary hypertension, and personalized treatment simulations Scientific Contributions: Active participant in international conferences and editorial work. Co-author of multiple benchmark studies and educational texts on physiological modeling.
Kine Pedersen is an Associate Professor at the Department of Health Management and Health Economics within the Faculty of Medicine at the University of Oslo. Her academic career focuses on health economic analysis, disease simulation modeling, and evaluation of healthcare interventions with particular expertise in cervical cancer prevention, HPV-related disease control, and primary care services. She has established herself as a leading researcher in cost-effectiveness analysis of preventive healthcare strategies within the Norwegian healthcare system. Education: PhD in Health Economics and Health Policy, University of Oslo (2018) M.Phil. in Health Economics, Policy and Management, University of Oslo (2014) BA in Economics, University of Oslo (2012) BA in Health Management and Health Economics, University of Oslo (2011) Dr. Pedersen's research program centers on developing and applying sophisticated mathematical models to evaluate preventive healthcare interventions, with a strong emphasis on cervical cancer screening programs and HPV vaccination strategies. Her work bridges health economics, epidemiology, and clinical practice to inform evidence-based healthcare policy. She has made significant contributions to understanding how to optimize screening protocols for vaccinated versus unvaccinated populations and has extensively studied the cost-effectiveness of various approaches to accelerate cervical cancer elimination in Norway. Her recent publications (2022-2024) reveal an expanding research portfolio that now includes telemedicine applications for chronic disease management and team-based primary care models, while maintaining her core focus on cancer prevention. The consistent thread through her work is the application of rigorous health economic methodologies to evaluate preventive interventions, with particular attention to structural uncertainty in modeling and real-world implementation challenges. Scientific Awards: The Society for Medical Decision Making's Lee B. Lusted Student Prize in Health Services and Policy Research Dr. Pedersen teaches HEVAL5120: Modelling in Economic Evaluation I and HMET4210: Research Design. Her research is supported through collaborations with the Cancer Registry of Norway, Center for Health Decision Science at Harvard T.H. Chan School of Public Health, Norwegian Institute of Public Health, and Department of Biostatistics at Aarhus University. She leads or participates in several significant research projects including ASCERTAIN, Optimal Cervical Cancer Prevention Policies (CC-PREVENT), and EXCEED – Network for economic evaluation in Norway. Her work directly informs Norwegian healthcare policy and contributes to international efforts to eliminate cervical cancer through evidence-based preventive strategies.
Merethe Frøyland is a Professor at the Science Center (Naturfagsenteret) within the Faculty of Mathematics and Natural Sciences (MN-fakultetet) at the University of Oslo (UiO). With a background in geology and a PhD in science education, she specializes in science didactics , geodidactics , and informal learning environments . Her work focuses on integrating other learning arenas (e.g., fieldwork, museums) into science teaching and improving teacher education through continuing professional development programs.
Dr. Yasel Costa serves as Professor of Supply Chain Management at the MIT-Zaragoza International Logistics Program of Zaragoza Logistics Center (ZLC) and Director of both the PhD Program and PhD Summer Academy. His academic affiliations are centered at the University of Zaragoza in Spain, where he leads advanced research initiatives in sustainable logistics. His educational foundation includes an Industrial Engineering degree from Cuba's Universidad Central “Marta Abreu” de Las Villas and a Doctor-Ingenieur degree from Germany's Otto-von-Guericke University. These qualifications underpin his expertise in mathematical decision-making frameworks. Dr. Costa's research focuses on Operations Research applications in supply chains, particularly mathematical programming for combinatorial problems, bio-inspired algorithms , and supply chain optimization . His Sustainable Networks Group integrates environmental concerns into operational decisions, while his Healthcare Operations research optimizes pharmaceutical supply chains. This dual focus creates innovative bridges between theoretical optimization and real-world sustainability challenges. Analysis of his 15 most recent publications (2014-2024) reveals consistent contributions to biofuel supply chain design (7 papers), green logistics (5 papers), and stochastic optimization (9 papers). His work increasingly addresses multi-objective sustainability metrics, with 60% of recent publications incorporating environmental justice or circular economy principles. The strong Colombian agricultural context in 8 publications highlights his regional impact. His significant recognitions include: Best Young Researcher award from Central University “Marta Abreu” (2007) Prestigious DAAD PhD Scholarship in Germany (2009) Honorary Professor title from Colombia's National University (2018) As an active journal referee for European Journal of Operational Research and Expert Systems with Applications, Dr. Costa shapes scholarly discourse while mentoring doctoral candidates through ZLC's PhD programs. His research integrates practical industry applications with rigorous mathematical frameworks, particularly in agricultural waste valorization and emission-sensitive logistics. His work operates within ZLC's Sustainable Networks and Healthcare Operations research groups, which maintain strong industry partnerships for implementing optimization solutions in real supply chain networks across Europe and Latin America.
Ragnhild Kobro Runde is an Associate Professor in Computing Education at the Department of Informatics, University of Oslo. Her work focuses on software engineering methodologies, formal methods in system design, and computing education at both secondary and undergraduate levels. She is affiliated with the Computing Education research group. Her research explores topics such as UML sequence diagram semantics, formal specification techniques (Event-B/STAIRS), and the transition from block-based programming (Scratch) to text-based languages (Python) in schools. She also investigates how ICT exposure impacts mathematics self-belief and academic performance in PISA assessments. Runde has contributed to over 30 peer-reviewed publications since 2005, appearing in journals like Formal Aspects of Computing and Software and Systems Modeling. Her work frequently addresses challenges in software design, security risk analysis, and service-oriented architecture modeling using UML extensions. Key contributions include developing pattern languages for web application security risk analysis, analyzing nondeterminism in sequence diagrams, and creating methodologies for dynamic service composition using UML 2.x. She has collaborated with international researchers on computing education initiatives and formal methods applications.
André Brodtkorb is a Professor and Head of the Department of Information Technology at Oslo Metropolitan University. His research spans applied mathematics, numerical analysis, and computational science, focusing on physics simulations and GPU computing. He advocates for open and reproducible research and is actively involved in education and societal engagement through the Academy of Young Researchers (2024-2028). Research Interests: His work integrates applied mathematics and computer science to develop high-performance simulations for environmental phenomena, including ocean currents, volcanic ash dispersion, and coastal flooding. He specializes in GPU-accelerated parallel computing, finite-volume methods, and Python-based scientific programming. Publication Trends: Recent articles highlight advancements in GPU computing efficiency, ocean modeling, and inverse ash transport modeling for volcanic plume forecasting. His research bridges computational methods with real-world environmental challenges. Scientific Awards: Member of the Academy of Young Researchers (2024-2028) Contact Information: Office: Pilestredet 35, 0166 Oslo Phone: +47 456 19 070 (Mobile), +47 672 35 924 (Office) Email: andre.brodtkorb@oslomet.no
Petr Golovach is a Research Professor at the Department of Informatics, University of Bergen. His research focuses on Discrete Mathematics and Theoretical Computer Science, particularly graph theory, algorithms, parameterized complexity, and clustering. He has held academic positions at Syktyvkar State University (1991–2007), Durham University (2009–2011), and currently teaches advanced courses like Advanced Algorithms Techniques and Enumeration Algorithms at the University of Bergen. His research interests include graph algorithms, parameterized complexity, matroid theory, and algorithmic enumeration. He has organized notable events like the Dagstuhl Seminar 2018 and serves on program committees for STACS, IPEC, and SWAT. Notable contributions include work on hybrid clustering algorithms, graph cuts under matroid constraints, and parameterized tractability of path and cycle problems. He has supervised PhD students like Nidhi Purohit and master’s students including Øyving Stette Haarberg and Andreas Steinvik. His publications span over 200 peer-reviewed papers in top venues such as Journal of the ACM and conferences like SODA and ICALP. His research bridges extremal combinatorics with algorithm design, emphasizing practical and theoretical advancements in graph-based problems.
Morten Omholt Alver is an Adjunct Associate Professor at the Department of Engineering Cybernetics, Norwegian University of Science and Technology (NTNU). His primary affiliation is with the Ocean Biocybernetics research group, where he focuses on mathematical model development, ocean modeling, and data assimilation. He holds both his MSc and PhD from the same department at NTNU. His key qualifications include expertise in individual-based energetic models, population models, instrumentation/automation in marine aquaculture, and programming/software development. He has extensive experience with oceanographic model systems (SINMOD, ROMS) and meteorological models (WRF), contributing to module development within SINMOD. His work in cage aquaculture involves modeling fish behavior, growth, feed distribution, and dissolved oxygen levels. Competencies span aquaculture systems, mathematical modeling techniques, and oceanographic research. While no specific grants or awards are listed, his research emphasizes interdisciplinary applications of cybernetics in marine environments.
Hilda Deborah is a Senior Researcher at the Department of Computer Science (IDI Gjøvik), Norwegian University of Science and Technology (NTNU). Her research focuses on spectral imaging, mathematical morphology, and soft metrology for image processing, with current interests in texture perception, digital humanities, and public dissemination of imaging research through interaction design. Education: She holds a double PhD in Computer Science from NTNU (2016) and a PhD in Signal and Image Processing from Université de Poitiers (2016). Professional History: Marie Curie Postdoctoral Fellow (2018-2020) under the FRIPRO Mobility program, funded by the Research Council of Norway. She is currently part of NTNU's Outstanding Academic Fellow Programme 4.0 (2022-2026). Research Interests: Her work spans spectral imaging applications in cultural heritage, including pigment analysis, hyperspectral dataset development, and museum visitor experience studies using imaging data. She also explores interdisciplinary methods for digital humanities and public engagement. Awards: Marie Curie Postdoctoral Fellowship, FRIPRO Mobility Grant (2018-2022), and participation in the FRIPRO Toppforsk project (2019-2024). Grants: FRIPRO Mobility (2018-2022) and Toppforsk (2019-2024) grants from Norway's Research Council. Projects include metrological texture analysis and collaborations on Dead Sea Scrolls research. Labs/Teams: Member of the Colourlab at NTNU, focusing on imaging science and cultural heritage applications. Leads initiatives like the Hyperspectral Pigment Dataset and interactive visualization tools for cultural heritage data.
Einar Malvin Rønquist is a Professor and Head of the Department of Mathematical Sciences at NTNU since August 2013. He holds a MSc from NTNU (1980) and a PhD from MIT (1988). His research focuses on numerical solutions of partial differential equations, spectral element methods, reduced basis methods, and computational fluid dynamics. He has been a leader in several research initiatives, including the Computational Science and Visualization program at NTNU (2003–2011). Rønquist is a member of prestigious academies: NTVA (since 2005) and DNKVS (since 2010). He has supervised 8 PhD students and 25 MSc students. His work spans computational science, with notable contributions to parametric modeling, parallel computing, and fluid dynamics simulation. His administrative roles include Vice President of R&D at Nektonics, Inc. (1991–1999) and Deputy Head of NTNU’s Department of Mathematical Sciences (Fall 2012). His publications highlight advancements in numerical methods for PDEs, including spectral element techniques, reduced basis approaches, and high-order approximations for complex geometries.
Eric Bartley Jul is a Professor in the Department of Informatics at the University of Oslo, specializing in Programming Technology within the Faculty of Mathematics and Natural Sciences. His research spans multiple domains of computer science with a focus on practical applications in medical imaging, distributed systems, and mobile computing. Professor Jul's research interests encompass a broad spectrum of computer science disciplines. His expertise lies particularly in Object-Oriented Programming, Distributed Computing, and Design Patterns, with expanding work in Cloud Computing and Security. His recent publications demonstrate a significant shift toward applying computer vision and deep learning techniques to medical diagnostics and healthcare applications, particularly in microcirculation analysis and reproductive medicine. This interdisciplinary approach bridges traditional computer science with cutting-edge medical research. His recent publication record shows a strong trend toward medical applications of computer vision and mobile sensor technologies. The 2024 papers reveal sophisticated applications of AI in reproductive medicine (sperm detection) and transportation monitoring (flight detection), while the 2022 publications establish his foundational work in medical imaging systems like CapillaryNet for blood flow analysis. This trajectory demonstrates a consistent focus on applying programming technology to solve complex real-world problems, particularly at the intersection of computing and healthcare. Professor Jul leads research within the Programming Technology group at the University of Oslo and is involved in several significant projects including A Modern Approach to Teaching Classes at the University Level in Theoretical Computer Science , Leveraging Energy-Aware Programming (LEAP) , and Reliable models of computation for concurrent and distributed problems . His work demonstrates strong collaborative efforts with researchers across multiple institutions, particularly with Paulo Ferreira and other colleagues at the University of Oslo.
Professor Shujun Zhang is a faculty member at the Department of Computer Science, Electrical Engineering and Mathematical Sciences, Western Norway University of Applied Sciences (HVL). He specializes in power electronics, electric drives, and microgrid systems with applications in maritime engineering, renewable energy, and battery technology. His work bridges academia and industry through collaborative projects and technical consultancy. Power Electronics Electric Drives Microgrid for Maritime Systems Renewable Energy Integration Digital Real-Time Control Systems His research focuses on developing state-of-the-art power conversion systems, including modular multilevel converters and hybrid propulsion systems. He leads projects with industry partners like Siemens Bergen and Norwegian Electric Systems AS, emphasizing hardware-in-the-loop testing and embedded programming. Recent publications highlight applications of power electronics in electric ferry charging systems, DC/AC converter design, and stability analysis of hybrid microgrids. His lab features advanced equipment: Modular Multilevel Converter Prototypes Typhoon HIL 604 DSP/FPGA Boards Permanent Magnet and Induction Motors Basic Line HIL Machines
