Find Academic Supervisors

• Biomedical Instrumentation
• Medical Technology
• Clinical Engineering
• +3 more

Jan Olav Høgetveit is an Associate Professor in the Department of Physics at the University of Oslo (UiO), within the Faculty of Mathematics and Natural Sciences. He also serves as Head of Research & Development in the Department of Biomedical and Clinical Engineering at Rikshospitalet, Norway’s national hospital. His work bridges physics and clinical practice, focusing on medical instrumentation. Education: Bachelor of Electronic Engineering (Technical Cybernetics), Oslo University College, 1993 Master of Electronics, University of Oslo (Department of Physics), 1997 Ph.D. in Physics (Technology Applications for Medical Devices), University of Oslo, 2008 Research Interests: Høgetveit specializes in biomedical instrumentation and clinical engineering, particularly in surgical technology and wireless communication impacts on medical devices. His work addresses challenges like real-time physiological monitoring during heart-lung machine use, non-invasive blood glucose detection, and bioimpedance-based viability assessment of organs. He emphasizes interdisciplinary collaboration between engineering and medicine to enhance patient safety and surgical outcomes. Scientific Contributions: His research trends span bioimpedance applications in ischemia/reperfusion injury, machine learning for surgical decision support, and electrosurgery safety. He has explored ventilator optimization during pandemics and implant-related thermal risks. Contributions highlight both hardware development (e.g., optically isolated current sources) and software innovations (e.g., neural networks for viability prediction). Awards: No scientific awards explicitly mentioned in the text. Advising & Grants: Høgetveit received a 1998–2001 research council scholarship. As Head of R&D since 2001, he oversees translational projects. No formal advisees/students listed, though he collaborates extensively with teams on device development and clinical trials. Labs & Teams: Affiliated with UiO’s Department of Physics and Rikshospitalet’s Biomedical and Clinical Engineering department. Active in the Electronics research group at UiO. Engages with multidisciplinary teams addressing surgical instrumentation and physiological monitoring challenges.

• Structural Dynamics
• Bridge Engineering
• Wind Engineering
• +6 more

Ole Andre Øiseth is a Professor at the Department of Structural Engineering, Norwegian University of Science and Technology (NTNU), specializing in structural dynamics with focus on bridges and marine structures. He leads the structural mechanics research group. Research Interests: Wind Engineering Bridge Aerodynamics Structural Health Monitoring Operational Modal Analysis Fluid-Structure Interaction Extreme Load Analysis Key Contributions: Developed nonlinear force models for bridge aerodynamics Advanced Kalman filter techniques for wind load identification Environmental contour methods for bridge design Automated monitoring systems for long-span bridges

• Functional Safety
• Safety Instrumented Systems (SIS)
• Cybersecurity in Industrial Systems
• +5 more

Mary Ann Lundteigen is a Professor in instrumentation systems and safety at NTNU’s Department of Engineering Cybernetics, part of the Faculty of Information Technology and Electrical Engineering. She holds an MSc (1993) and PhD (2009) in Engineering Cybernetics from NTNU, with 15+ years of industry experience across Phillips Petroleum, Nidar AS, DNV, and SINTEF. She has led major research initiatives including SFI SUBPRO (2014–2023) and SFI Autoship (2019–2022), focusing on subsea production, autonomous ships, and cybersecurity for safety-critical systems. Her research emphasizes functional safety of industrial control systems, cybersecurity compliance with standards like IEC 62443, and the integration of AI in safety-critical environments. She leads projects such as APOS 2.0 (digital lifecycle management) and CyberBarrier Management, while supervising multiple PhD students and postdocs. Lundteigen co-authored over 100 publications and received the ExxonMobil Doctoral Prize (2009) for her thesis on SIS reliability. Professional roles include: Co-director of SFI SUBPRO Director of SFI Autoship’s initial phase Adjunct Professor at NTNU (2013) Member of IEC 61511 maintenance team and PDS forum organizing committee Current research focuses on: Cybersecurity threats to SIS AI applications in safety systems Digital twins for safety demonstration Industry 4.0 frameworks like OPC UA Her work bridges academia and industry, with active projects funded by the Norwegian Research Council and industrial partners like Equinor and DNV.

• Geotechnical Engineering
• Ground Improvement
• Seepage Analysis
• +6 more

Yutao Pan is an Associate Professor in Geotechnical Engineering at the Department of Civil and Environmental Engineering, Norwegian University of Science and Technology (NTNU). His academic journey includes a BSc and MSc from Huazhong University of Science and Technology (2010, 2012) and a PhD from the National University of Singapore (NUS) in 2016, followed by a postdoctoral research fellowship. Research Focus: Ground improvement, seepage mechanics, risk assessment, and offshore geotechnical engineering with emphasis on spatial variability and numerical modeling. Key Contributions: Development of algorithms for water-tightness estimation in cut-off walls, stability analysis of tunnels in cement-admixed soils, and transient-state leakage evaluation methods. His publications reflect expertise in cement-treated soils, tunneling mechanics, and probabilistic risk assessment. Collaborations with researchers like Yong Liu, Fook-Hou Lee, and Michael A. Hicks appear frequently. Recent work integrates physical mechanisms with AI for geotechnical problem-solving.

• Structural Engineering
• Concrete Structures
• Structural Reliability
• +7 more

Max Hendriks is Professor in the Department of Structural Engineering at the Norwegian University of Science and Technology (NTNU), specializing in advanced structural analysis and assessment methodologies for concrete infrastructure. His work integrates computational modeling with experimental validation to address critical challenges in structural safety and durability. His research focuses on: Structural reliability assessment using proof load testing and monitoring data Acoustic emission techniques for concrete damage detection Nonlinear finite element analysis of cracking and shear behavior Durability mechanisms including alkali-silica reaction and corrosion Numerical modeling of structural response to extreme events Analysis of his 2021-2025 publications reveals a methodological evolution toward integrated experimental-computational frameworks, particularly in acoustic emission waveform modeling for fracture characterization and reliability-based assessment of aging infrastructure. His work consistently bridges theoretical advances with practical engineering applications, emphasizing probabilistic approaches for structural safety evaluation under complex degradation scenarios.

Frank MelandsøView profile

Professor

• Ultrasound
• Microwaves
• Optics
• +5 more

Frank Melandsø is a Professor at the Department of Physics and Technology, UiT The Arctic University of Norway. His research focuses on ultrasound, microwaves, and optics, particularly in nondestructive testing and acoustic imaging technologies. Key research interests include: Development of advanced ultrasound and acoustic microscopy techniques Finite element modeling for wave propagation and transducer design Image processing algorithms for noise reduction and defect visualization Applications in materials science, marine biology, and biomedical imaging Recent publications highlight trends in deep learning applications, tilt compensation methods, and 3D imaging of complex materials. His collaborative work spans institutions and disciplines, with extensive contributions to sensors, imaging systems, and computational analysis. Professor Melandsø is actively involved in the Ultrasound, Microwaves and Optics research group and the VirtualStain project, based at Teknologibygget Tromsø 2.053.

• Barophysiology
• Cardiovascular Physiology
• Hyperbaric Physiology
• +4 more

Andreas Møllerløkken is the Head of the Department of Biotechnology and Food Science at NTNU (since 2021). He holds a PhD in Medical Technology (2008), a PPU (2002), and a Cand Scient Biology degree (2001), all from NTNU. His research focuses on barophysiology, cardiovascular physiology, and hyperbaric medicine, particularly decompression sickness mechanisms. He has led studies on dive computer validation, biomarker development, and ultrasound-based bubble detection. As Senior Adviser at the Faculty of Engineering (2018-2021), he contributed to international research collaboration strategies. Key research areas include physiological responses to hyperbaric/hypobaric environments, vascular endothelium damage from gas embolism, and long-term health effects of diving. His work bridges clinical practice, animal models, and technological innovation in diving safety. Recent articles analyze bubble dynamics in cetaceans and human divers, advancing understanding of decompression pathology. Grants & Collaborations: NATO High Altitude Research, EU-funded projects on dive computer design. Labs/Teams: Collaborates with ISB (NTNU Institute of Marine Research), FMI (Norwegian Armed Forces), and international partners like the University of Split (Croatia).

• Structural Health Monitoring
• Concrete Bridges
• Bridge Dynamics
• +5 more

Daniel Cantero is an Associate Professor in the Department of Structural Engineering at the Norwegian University of Science and Technology (NTNU). He leads research initiatives in structural health monitoring, bridge dynamics, and vehicle-infrastructure interaction, with significant contributions to concrete bridge analysis and railway infrastructure diagnostics. His work bridges computational modeling with practical engineering solutions. PhD in Bridge Dynamics (University College Dublin, 2010) Postdoctoral Fellowships at Plaxis BV, Trinity College Dublin, and Royal Institute of Technology (KTH) His research focuses on structural health monitoring, bridge dynamics under moving loads, and signal processing for infrastructure diagnostics. Recent work explores federated learning for population-based monitoring, 3D vehicle modeling, and corrosion effects in post-tensioned bridges. Current publications highlight advancements in: Railway bridge condition monitoring using train responses Machine learning for damage assessment Wavelet analysis in soil-structure interaction Finite element tools for vehicle-bridge interaction Probabilistic models for structural diagnostics As course coordinator for TKT4220 - Concrete Structures 2 and instructor in multiple structural engineering courses, he mentors PhD students like Muhammad Zohaib Sarwar. He contributes to NTNU's Concrete Group and participates in international Marie-Curie projects.

• Structural Health Monitoring (SHM)
• Steel Bridges
• Damage Detection Algorithms
• +5 more

Bjørn Thomas Svendsen is an Associate Professor in the Department of Structural Engineering at the Norwegian University of Science and Technology (NTNU). His research focuses on Structural Health Monitoring (SHM) of steel bridges, particularly exploring dynamic analysis , modal analysis , and sensor technology for damage detection and condition-based maintenance. Research Objectives : Develop SHM methods for bridge damage detection, validate through full-scale experiments, and create tools for SHM system design Collaborators : Works closely with Professor Anders Rønnquist and Associate Professor Ole Øiseth His recent publications analyze hybrid SHM approaches , sensitivity of sensor configurations , and damage detection algorithms . Key subfields include missing data compensation , finite element model updating , and temporal moment analysis . He applies these methods to railway bridges through field studies at the Hell Bridge Test Arena . Current work emphasizes improving sensor-assisted inspections and addressing challenges in offshore steel structures through case studies. His research combines numerical simulations with experimental validation to enhance structural monitoring reliability.

• Structural analysis
• Finite element methods
• Numerical analysis
• +15 more

Mahdi Kioumarsi is a professor at the Department of Building and Energy Engineering, OsloMet — Norway's metropolitan university. His research focuses on structural analysis, sustainable building materials, and numerical modeling, positioning him as a leading expert in concrete materials and structures. He leads the Structural Engineering Laboratory (SEL) and SmartMet lab for infrastructure monitoring, while contributing to the Digital and Sustainable Construction (DiSCo) research group. Structural analysis and finite element methods Concrete durability and corrosion Machine learning applications in construction Seismic and material behavior His recent publications focus on alkali-activated materials, geopolymer concrete optimization, and sustainable ultra-high performance concrete. Scientific recognitions include an OsloMet Research Talent Development Program scholarship (2020), editorial board memberships, and fellowships in international journals. He actively collaborates on regional/national/international projects and contributes to industry-academia knowledge exchange.

Kristina Ingrid Helena Hermann HaugaaView profile

Professor

• Cardiology
• Cardiac Imaging
• Arrhythmias
• +4 more

Kristina Ingrid Helena Hermann Haugaa is a Professor II in the Department of Cardiology at the University of Oslo. Her work focuses on cardiac imaging, arrhythmias, and genetic cardiomyopathies. She leads research on mitral valve disorders, exercise-induced cardiac changes, and cardiac remodeling in cancer survivors. Her recent studies include advancements in AI-driven cardiac imaging, gene therapy for heart failure, and risk stratification in arrhythmogenic conditions. Collaborative projects address clinical applications of echocardiography and deep learning in improving diagnostic accuracy. Research interests include: Cardiac imaging techniques (MRI, echocardiography), arrhythmogenic mechanisms, genetic cardiomyopathies (e.g., LMNA-related disorders), and exercise-cardiac interactions. Her work integrates clinical data with computational modeling to predict arrhythmic events and optimize patient outcomes. Publications highlight contributions to mitral valve prolapse research, myocardial fibrosis analysis in athletes, and guideline development for valvular heart disease. She has authored over 100 peer-reviewed articles and serves on editorial boards for journals like European Heart Journal .

• Arctic Technology
• Sea Ice Mechanics
• Structural Analysis of Marine Structures
• +4 more

Ekaterina Kim is an Associate Professor in the Department of Marine Engineering at NTNU's Faculty of Engineering. Her research focuses on Arctic technology, sea ice mechanics, and structural analysis of marine structures under ice loads. She leads the Risk Group and co-founded the Arctic Hive Mind research initiative, emphasizing AI-driven solutions for Arctic navigation safety. Key affiliations include the Norwegian University of Science and Technology and collaborations with institutions like ASME and SNAME. Her work spans experimental and computational studies of ice-structure interactions, risk assessment models for ice-covered waters, and autonomous systems for environmental monitoring. Notable contributions include Bayesian network risk models for icebreaker operations and deep learning frameworks for sea ice classification under adverse weather conditions. Kim has advised over 20 master’s and PhD students on topics ranging from structural analysis of icebreakers to AI applications in maritime safety. Her interdisciplinary approach integrates mechanical engineering, data science, and environmental monitoring to address challenges in Arctic shipping and infrastructure resilience. Recent research highlights include developing a probabilistic approach to correct biases in shipborne sea ice mapping and creating material models for polycrystalline ice behavior during impacts. Her work is published in journals like Ocean Engineering , International Journal of Impact Engineering , and IEEE Sensors Journal .

• Structural Engineering
• Railway Infrastructure
• Structural Health Monitoring
• +7 more

Gunnstein Thomas Frøseth is an Associate Professor at the Department of Structural Engineering, Norwegian University of Science and Technology (NTNU). His research focuses on predicting the remaining service life of steel railway bridges, particularly addressing challenges in fatigue analysis, structural health monitoring, and model updating techniques. He leads projects combining field measurements with numerical simulations to assess bridge conditions under evolving load conditions. Key research areas include fatigue life estimation, finite element analysis precision, and the integration of machine learning for infrastructure diagnostics. He collaborates with industry partners to develop practical solutions for railway infrastructure management, emphasizing cost-effective monitoring and predictive maintenance strategies. His team applies advanced techniques like operational modal analysis, photogrammetry, and deep learning to improve bridge safety and longevity. Recent work includes corrosion detection systems, rivet inspection algorithms, and vibration analysis methodologies. His contributions bridge theoretical modeling with real-world applications in transportation infrastructure.

Ingrid Margrethe Halvorsen BarlundView profile

Associate Professor

• EEA Law
• EU Competition Law
• Private Enforcement of Competition Law
• +3 more

Ingrid Margrethe Halvorsen Barlund is an Associate Professor at the Faculty of Law, University of Bergen , specializing in EEA Law and EU Competition Law . Her research focuses on the interplay between public and private enforcement mechanisms, particularly leniency programs and damages claims in cartel cases. She actively participates in academic events like the EEA Forum Day and contributes to policy discussions on digital market regulation and EEA governance. Current Affiliation: Faculty of Law, University of Bergen Research Groups: Research Group for European Law, BECCLE (Bergen Center for Competition and Economic Law), CENTENOL (Centre for EEA and Norwegian Law) Research Interests center on EU/EEA competition law dynamics, leniency frameworks, and regulatory challenges in digital markets. Her work bridges doctrinal analysis with practical implications for Norwegian implementation of European law. Recent Trends in her publications examine: EEA legal adaptation processes Digital economy competition regulation Interplay between EU/EEA and Norwegian law Reforms in judicial review and private enforcement Transparency in EFTA Court proceedings Academic contributions to legal education

• Quantitative Phase Microscopy
• Acoustic Microscopy
• Optical Imaging
• +5 more

Azeem Ahmad is a Researcher at the Department of Physics and Technology , UiT The Arctic University of Norway. His work focuses on advanced imaging techniques in ultrasound, microwaves, and optics , particularly in the areas of quantitative phase microscopy , acoustic microscopy , and photonic chip engineering . Key research areas: Quantitative phase imaging, acoustic wave modeling, biomedical diagnostics, interferometry, machine learning integration, and photonic device optimization Collaborative projects: Developments in label-free histology, super-resolution microscopy, and noise reduction algorithms Recent publications: 2025 studies on subsurface damage detection in ceramics and acoustic transducer modeling His work bridges optical engineering , biomedical applications , and computational imaging , with affiliations to the Ultrasound, Microwaves and Optics and Optical Nanoscopy research groups.