جست‌وجوی استاد و پژوهشگر

Trygve Kastberg Nilssenمشاهده پروفایل

دانشیار

• Computational Science
• Mathematical Finance
• Energy Markets
• +۴ مورد دیگر

Trygve Kastberg Nilssen is an Associate Professor at the Department of Economics and Finance within the School of Business and Law at the University of Agder. He holds a PhD in Applied Mathematics from the University of Bergen and a master's degree from the University of Oslo. His research focuses on computational science applications across diverse domains including finance, medicine, and multiphase flow problems in the oil industry. Key areas include mathematical modeling of energy markets, optimization of financial derivatives, and numerical solutions for partial differential equations. His work bridges theoretical mathematics with practical industrial challenges. Nilssen has published extensively in journals like Journal of Energy Markets , Mathematics of Computation , and SIAM Journal on Scientific Computing . His publications demonstrate a consistent focus on stochastic modeling, numerical algorithms, and interdisciplinary applications. Awards: Best Paper Award (2010) at Energy Finance Conference Germany He maintains strong industry collaborations, having developed simulators for stock markets, cardiac electrophysiology, and oil/gas flow dynamics. As a visiting researcher at UCLA, he expanded his international academic network and presented at conferences across Europe, USA, and Asia.

• Communication and Distributed Systems
• Internet of Things
• System Development
• +۵ مورد دیگر

Peter Micael Herrmann is a Professor at the Department of Information Security and Communication Technology at the Norwegian University of Science and Technology (NTNU) in Trondheim, Norway. His research spans multiple domains including distributed systems, IoT, and security, with affiliations across Norway, Germany, and Australia. Research Focus: Herrmann's expertise centers on communication systems, IoT applications, and intelligent transport solutions. His work integrates theoretical foundations with practical system development, emphasizing security vulnerabilities and knowledge-based approaches. Key domains include: Distributed network architectures and concurrency models Synthetic data generation for adaptive IoT sampling Theoretical computing and formal methods for system reliability Publication Trends: Recent works demonstrate a strong focus on IoT data optimization and spatio-temporal network analysis. His 2024 publications include synthetic data frameworks for IoT devices and model-driven engineering advancements. Earlier works frequently address concurrency, formal verification, and transport system safety. Achievements: Best Paper Award at ENASE 2016 for transport system safety methodology Best-Track Paper Award at APSCC 2014 for services computing IME Faculty's Learning Environment Award (2015) Multiple conference award nominations including IOV 2019 Projects & Collaborations: Herrmann has led projects like Ubiquitous Computing For All Users (UbiCompForAll) and contributed to initiatives such as Semantic Interfaces for Mobile Services (SIMS). His work involves cross-institutional teams with SINTEF, Telenor, and international partners, focusing on mobile services and integrated infrastructure.

• Quantum Cryptography
• Quantum Key Distribution
• Physics Education
• +۳ مورد دیگر

Dr. Øystein Marøy is an Associate Professor in the Department of Mathematical Sciences at the Norwegian University of Science and Technology (NTNU) . His academic role focuses on teaching physics to engineering preparatory students and advancing research at the intersection of quantum cryptography and educational innovation. Key Affiliations: Faculty of Information Technology and Electrical Engineering, NTNU Contact: oystein.maroy@ntnu.no Marøy’s research spans two distinct domains: quantum cryptography , where he has contributed to secure quantum communication protocols and attack countermeasures since 2008, and physics education , with recent work on enhancing student reflection and scaling active learning in large engineering courses. His pedagogical research emphasizes digital learning environments and collaborative educational technology. Recent publications highlight his dual focus: (1) quantum security advancements (2010–2017), including error correction and detector optimization, and (2) education-focused studies (2020–2024) addressing interdisciplinary learning transfer, scalable teaching designs, and EdTech-driven collaborative work. Marøy actively engages in outreach through academic lectures, including presentations on quantum hacking at Peking University (2010) and educational design at NTNU (2020). He teaches foundational physics courses for engineering students ( TFOR0117 , TFOR0112 ).

• Timber connections
• Finite-element simulations
• Analytical methods
• +۱۰ مورد دیگر

Haris Stamatopoulos is an Associate Professor at the Department of Structural Engineering, Faculty of Engineering, Norwegian University of Science and Technology (NTNU). His research focuses on advanced timber connections using threaded rods, screws, and dowel-type fasteners, combining experimental testing, finite-element simulations, and analytical methods. Research Interests: Serviceability and ductility in timber buildings, innovative connection systems, dynamic testing of timber components. Teaching: Courses include Timber Structures 1 (TKT4211), Timber Structures 2 (TKT4212), and Construction Materials (TKT4240). Research Groups: Timber Structures Group and KMEK Group at NTNU. His work emphasizes parametric analysis, stiffness/resistance optimization, and moisture/fatigue effects in timber systems. Recent publications explore dynamic modeling, connection behavior, and sustainability in structural systems.

Sverre Kittelsenمشاهده پروفایل

استاد

• Health Economics
• Productivity and Efficiency Measurement
• Energy Economics
• +۳ مورد دیگر

Sverre Kittelsen is a Professor at the Department of Health Management and Health Economics, University of Oslo, and serves as Director of the Frisch Centre. His work spans health economics, productivity measurement, and energy economics. Dr.Polit. in Social Economics, University of Oslo (1998) Cand.Polit. in Social Economics, University of Bergen (1985) Research interests include production theory, healthcare efficiency, energy market dynamics, and climate policy. He has contributed extensively to Nordic comparative studies in hospital productivity and energy market reforms. Recent publications focus on economies of scope in public hospitals, climate externality corrections, and productivity trends in orthopedic surgery. His work employs empirical methods like DEA and Malmquist indices.

Trung Tuyen Truongمشاهده پروفایل

استاد

• Several Complex Variables
• Dynamical Systems
• Algebraic Geometry
• +۷ مورد دیگر

Trung Tuyen Truong is a Professor of Mathematics at the University of Oslo, Faculty of Mathematics and Natural Sciences, Department of Mathematics, since September 2023. Previously, he served as an Associate Professor at the same institution from September 2017 to September 2023. His academic journey includes a PhD from Indiana University (2006-2012) under Professor Eric Bedford, followed by postdoctoral positions at Syracuse University (2012-2014), Korea Institute for Advanced Study (2014-2015), and The University of Adelaide (2015-2017). His research spans several complex variables, dynamical systems, and related topics in algebraic geometry. He is particularly interested in applying dynamical systems theory and computational techniques to solve both theoretical and practical problems. His work includes developing optimization algorithms, exploring connections between Weil's Riemann hypothesis and dynamical systems, and investigating the Jacobian conjecture. Truong has made significant contributions to optimization methods, particularly developing Backtracking Gradient Descent and Backtracking New Q-Newton's method, which have applications in deep learning and solving complex mathematical problems. His research has been supported by various grants including a Seed grant from UiO Growth House for developing AI tools for mathematical education, membership in MSCA-Cofund-DP for ERC funding PhD positions, and as Principal Investigator for the Young Research Talents grant from the Research Council of Norway. Truong is actively involved in developing software tools to help students learn mathematics and optimization, as well as creating efficient computational tools. His NUV Optimization solvers have demonstrated superior performance compared to established tools like Matlab and IPOPT in certain optimization problems. He is collaborating with AI companies and medical doctors to use AI for diagnosing from lung data measurements. His publications demonstrate expertise across pure mathematics, computational methods, and interdisciplinary applications, with recent work focusing on dynamical systems approaches to number theory problems and practical optimization algorithms.

Bjørn Harald Olstadمشاهده پروفایل

دانشیار

• Swimming Performance Analysis
• Biomechanics of Swimming
• Motor Learning in Aquatic Sports
• +۳ مورد دیگر

Bjørn Harald Olstad is an Associate Professor at the Norwegian School of Sport Sciences, specializing in physical performance with a focus on swimming biomechanics, aquatic safety education, and talent development. He leads the NIH Swim School and teaches swimming, lifesaving, and CPR/first aid. Education: PhD (2016) in swimming biomechanics, Master's and Bachelor's in sport science from University of Pacific Research Focus: Performance analysis, motion kinematics, motor learning, and aquatic technology applications Professional Background: Former Performance & Education Coordinator at American Swimming Federation, United States Olympic Committee member, and national team athlete in swimming/lifesaving His work emphasizes load-velocity profiling , active drag assessment , and talent development in swimming. Recent projects include the ALFAC Aquatic Literacy Framework for European children's water safety. Co-authored studies focus on: Swim stroke optimization Hydrodynamic resistance measurement Underwater motion analysis Heart rate variability monitoring Aquatic curriculum development Gender-specific training approaches

Jørgen Weidemann Eriksenمشاهده پروفایل

دانشیار

• Outdoor Education
• Learning Theory
• Philosophy
• +۳ مورد دیگر

Jørgen Weidemann Eriksen is an Associate Professor at the Department of Teacher Education and Outdoor Studies (ILF) at the Norwegian School of Sport Sciences (NIH). With a PhD (2011) and Master’s degree (1997) from NIH, his career spans over two decades, including 15 years at the Defence Institute of the Norwegian Defence University College. His work focuses on outdoor education, learning theory, and philosophy, examining how nature influences educational processes. Born: 1961 (implied from 2011 PhD and 2025 age estimates) Current Roles: Academic leadership, research, teaching at NIH Key Affiliations: Norwegian School of Sport Sciences, Norwegian Defence University College Research interests center on outdoor education as a pedagogical landscape, integrating technology and sustainability. His projects include Personal Development Plans (PDP) in outdoor studies and analyzing social equity in youth outdoor activities. Recent work explores smartphone use in tertiary programs and post-pandemic teaching adaptations. Academic contributions include publications on sustainable clothing choices in outdoor education, digital tools in teacher training, and philosophical aspects of military performance. Though no scientific awards are explicitly mentioned, his extensive editorial and committee work—including program leadership and study committee roles—highlights his institutional influence.

Live Steinnes Lutebergetمشاهده پروفایل

دانشیار

• Team Sports Analysis
• Physical Training Load
• Performance Monitoring
• +۳ مورد دیگر

Live Steinnes Luteberget is an Associate Professor at the Norwegian School of Sport Sciences, specializing in match and training analysis for team sports. She teaches Planning Exercise Training (THP306) and researches load quantification, performance metrics, and sports technology applications. PhD in Sport Science (2018), focusing on physical demands in elite female handball Part of The Field Group research team Research Interests center on optimizing team sports performance through: Physical load monitoring in football, handball, and ice hockey Validation of tracking technologies (GPS, IMUs) Injury prevention strategies for youth and elite athletes Adaptive training methodologies Publication Trends show expertise in: External load analysis across multiple team sports Comparative studies of training methods Technology-driven performance assessment Gender-specific physical demands

Olivier Seynnesمشاهده پروفایل

استاد

• Biomechanics
• Muscle Physiology
• Neurophysiology
• +۴ مورد دیگر

Olivier Seynnes is a Professor at the Department of Physical Performance, Norwegian School of Sport Sciences. He leads the muscle-tendon research group and teaches biomechanics, muscle physiology, and neurophysiology. PhD in Human Movement Sciences (2003) Post-graduate Gerontology (2003) MSc by Research in Human Movement Sciences (2000) His research focuses on neuromuscular and tendinous adaptations to exercise, disuse, and ageing. He explores: Training-induced tendon remodeling Hormonal influences on muscle adaptation Deep learning applications in ultrasound analysis Age-related musculoskeletal changes Recent publications (2025) include studies on oral contraceptive effects on tendon adaptation, Maasai jumping mechanics, and eccentric training impacts. His work combines advanced imaging techniques with computational analysis to understand muscle-tendon interactions. He has developed tools like DL_Track_US for automated muscle architecture analysis and contributed to understanding: Spaceflight musculoskeletal effects Collagen supplementation efficacy Vibration therapy applications Range-of-motion training outcomes

• Operations Research
• Optimization
• Scheduling Problems
• +۲ مورد دیگر

Carl Henrik Andersson is a Professor at the Department of Industrial Economics and Technology Management, Norwegian University of Science and Technology (NTNU). His research centers on optimization methodologies for complex industrial and logistical challenges. Research Focus Andersson's work spans: Operations Research : Developing decomposition algorithms and heuristic approaches Scheduling Systems : Integrated project-personnel scheduling Sustainable Transport : Micromobility planning via simulation tools His 2024 publications demonstrate consistent focus on enhancing optimization techniques for resource allocation. Achievements Notable recognition: Glover-Klingman Prize (2014) for influential work in network optimization Projects He led key initiatives: Design and Experimental Analysis of Novel Integrated Optimization Methods DOMinant II: Discrete Optimization Methods in Maritime/Road Transport Both projects advanced practical optimization methodologies.

• Psychotherapy
• Digital Health
• Mental Health Data Analysis
• +۳ مورد دیگر

Christian Moltu is a Professor at the Department of Health and Caring Sciences, Western Norway University of Applied Sciences (HVL), and Head of Research at the Division of Psychiatry, Helse Førde. He specializes in personalized healthcare services, digitalization, and data utilization in mental healthcare, leading the development of Norse Feedback and Norse Impact tools for clinical implementation. Research group: PERSONFORSK (Research group for personalized health services) His research spans psychotherapy, clinical feedback systems, participatory methods, and the integration of mental and physical health. He has secured over 60 million NOK in funding and published 110+ scientific articles, though specific titles are not listed here. His work emphasizes recovery and data-driven treatment optimization. Awards: Helse Vest’s Quality Award, Innovation Award for Norse Feedback, HVL’s Collaboration Award Moltu actively supervises PhD candidates and contributes to interdisciplinary collaborations between HVL and healthcare institutions, focusing on transforming mental health services through digital innovation.

Mohamed Ben Ahmedمشاهده پروفایل

دانشیار

• Logistics Optimization
• Supply Chain Management
• Transportation Systems
• +۵ مورد دیگر

Mohamed Ben Ahmed serves as an Associate Professor in Quantitative Logistics at Molde University College's Logistics Department, specializing in optimization and decision support systems for complex logistics networks. His work integrates mathematical modeling with real-world transportation challenges across maritime, airline, and urban mobility sectors. Educational Background: PhD in Quantitative Logistics, Molde University College (2023) - Thesis: 'Analysis of Integrated Planning Models in Logistics' MSc in Industrial Engineering, National School of Engineering, Tunis (2013) BSc in Physics and Chemistry, Preparatory Institute of Engineering Studies, Monastir (2010) His research focuses on developing robust solutions for logistics under uncertainty, with particular expertise in hybrid algorithms combining exact and heuristic methods. Key areas include sustainable micromobility systems, green maritime transportation, automated container terminal operations, and integrated airline scheduling. Current work emphasizes automation in logistics processes and decision-making frameworks resilient to disruptions. Analysis of his 15 most recent publications (2017-2025) reveals a strong trend toward practical applications of optimization in emerging logistics domains, particularly micromobility simulation and green technology adoption. His work consistently bridges theoretical algorithm development with industry-relevant case studies, showing increasing emphasis on sustainability metrics and real-time decision support systems. No scientific awards are currently listed in available sources. His research is conducted within the Planning, Optimization and Decision Support group, focusing on mathematical modeling of logistics networks. While specific grant information isn't provided, his publications indicate collaboration with major industry partners in maritime and aviation sectors. Current projects include developing open-source simulation tools for micromobility planning and optimization frameworks for automated container terminals.

• Multiphase Flow
• Computational Fluid Dynamics (CFD)
• Heat Transfer
• +۷ مورد دیگر

Professor Boris Balakin is affiliated with the Department of Mechanical Engineering and Maritime Studies at Western Norway University of Applied Sciences (HVL). His research focuses on multiphysics phenomena in industrial systems, including boiling, heat transfer, multiphase flows, turbulence, electrochemistry, and particle deposition. Specializes in CFD-DEM, Eulerian two-fluid, and VOF methods for multiphase flow modeling. Investigates renewable energy applications like nanosystems for solar and geothermal energy. Conducts non-invasive experimental validation using CT and PEPT techniques. Research Trends: Recent publications emphasize nanofluids for solar thermal systems, CFD modeling of industrial multiphase flows, and flow assurance in pipelines. Key subfields include photothermal conversion, particle agglomeration, and erosion analysis. Academic Leadership: Supervises PhD candidates in projects related to heat transfer, CFD modeling, and flow assurance. Teaches advanced courses like MAS536 CFD in Energy Technology and contributes to research groups on Solar Nano and Nanofluids for Energy and Process Technology .

• Food Science
• Seafood Processing
• Quality Assessment
• +۵ مورد دیگر

Jørgen Lerfall is a Professor and Head of the Food Science Division at the Department of Biotechnology and Food Science, Faculty of Natural Sciences, Norwegian University of Science and Technology (NTNU). His research focuses on optimizing raw material and product quality in fish and seafood processing, with specialization in Atlantic salmon and cod. He coordinates NTNU's priority research area 'Optimal utilization of the ocean's natural resources' (OptiMat) and leads multiple funded projects. Research interests center on: Processing technologies (salt curing, drying, smoking, heat processing) Quality characterization (chemical, physicochemical, physical, sensorial, microbial) Shelf-life extension through innovative methods like soluble gas stabilization Advanced analytical techniques including spectroscopy and chromatography Recent publications (2024-2025) demonstrate strong focus on: Seafood preservation technologies (soluble gas stabilization, superchilling) Quality optimization across species (salmon, cod, plaice, sea urchin) Sustainable packaging solutions and smart indicators Nutritional and biochemical mechanisms in aquaculture He directs significant research infrastructure including UHPLC-DAD, HPLC systems, GC-FID, Raman spectrometers, and texture analyzers. Current projects focus on renewable salmon pigments, Listeria control in seafood chains, and commercializing soluble gas stabilization technology.