Find Academic Supervisors

• Target Tracking
• Navigation
• SLAM
• +4 more

Edmund Førland Brekke is a Professor at the Department of Technical Cybernetics, Norwegian University of Science and Technology (NTNU). He leads the Autosit and Autosight projects, and serves as a work package leader in the SFI Autoship center. His research focuses on target tracking, navigation, and SLAM, with applications in collision avoidance for unmanned vessels. He co-founded the company Zeabuz for marine surface autonomy solutions. PhD in Technical Cybernetics (NTNU, 2010) MSc in Industrial Mathematics (NTNU, 2005) Research Interests: Edmund specializes in theoretical foundations of multitarget tracking, integrating target tracking with navigation/SLAM, and applying these to autonomous maritime collision avoidance. His work addresses challenges in heavy-tailed clutter, sensor fusion, and situational awareness for autonomous ferries and river barges. Publications Trends: His recent work (2018–2022) emphasizes collision avoidance algorithms, sensor fusion, and SLAM for autonomous vessels. Key areas include maritime radar tracking, trajectory prediction using AIS data, and integration of visual/Lidar sensors for navigation. Guidance: He has supervised numerous PhD candidates on topics like digital twins, multi-sensor tracking, and risk assessment for autonomous ships, including graduates from 2014–2024. Projects: Active in Autoferry (autonomous ferries), Autobarge (river barges), and the ORCAS initiative. Collaborates with the SFI Autoship center.

• Smart Wireless Systems
• Internet of Things (IoT)
• Information Security
• +8 more

Mohammad Derawi is a Professor in the Department of Electronic Systems at the Faculty of Information Technology and Electrical Engineering, Norwegian University of Science and Technology (NTNU), Gjøvik campus. He leads the Smart Wireless Systems (SWS) research group and serves as the scientific leader of the IoT Lab at NTNU Gjøvik. Educational Background: PhD in Information Security from NISLab (Norway) and CASED (Germany) BSc and MSc in Informatics from DTU (Denmark) His research interests span smart wireless systems, Internet of Things (IoT), information security with a focus on biometric authentication, digital electronics, applied machine learning for activity recognition, and e-learning technologies. His work integrates cybersecurity, embedded systems, and data science to develop secure and intelligent IoT solutions for real-world applications. The recent publications highlight a strong trend in mmWave-based sensing for unmanned aerial systems, RF fingerprinting for secure identification, IoT security frameworks, and machine learning applications in education and human resource analytics. His research bridges theoretical innovation with practical implementation, particularly in smart cities, healthcare, and transportation. Scientific Awards and Recognition: Invitation to the Crown Prince and Princess's 50th birthday celebration, 2023 Study Quality Award, NTNU, 2017 Norway’s Youngest Professor Award, 2016 Denmark’s youngest M.Sc. engineering award, 2009 IEEE Commendation for Young Professionals Volunteer, 2011 Multiple best paper awards from IEEE, ACM, and Springer Mohammad Derawi has been involved in several funded research and development projects, including IoT Safetraffic (RFF Inland), Ambulance Drone (NTNU Vice-Rector), Wireless ECG (Innovation Norway), biometric handgun security (RFF Innlandet), and the EU Framework 7 TURBINE project. He mentors students and collaborates with international researchers, contributing significantly to both academic and applied domains. His leadership in the SWS group and IoT Lab fosters innovation in wireless and secure embedded systems. He is actively engaged in laboratory and team-based research, particularly through the Smart Wireless Systems group and the IoT Lab, focusing on developing secure, intelligent, and scalable solutions for next-generation wireless applications.

• Dynamics of long-span suspension bridges
• Floating bridges
• Stochastic environmental wind and wave loading
• +7 more

Øyvind Wiig Petersen is an Associate Professor at the Department of Structural Engineering, Norwegian University of Science and Technology (NTNU). His research focuses on bridge dynamics, wind and wave loading, inverse force identification, structural monitoring, and machine learning applications in structural mechanics. He works extensively with long-span suspension bridges and floating bridge systems. Current research areas include vortex-induced vibrations, Kalman filter applications, wind tunnel testing, and finite element model updating. He has published in leading journals like Journal of Wind Engineering, Mechanical Systems and Signal Processing, and Engineering Structures. His work integrates experimental data with computational models for structural condition assessment and load estimation.

• Damage Mechanics
• Fracture Mechanics
• Additive Manufacturing
• +7 more

Zhiliang Zhang is a Professor of Mechanics and Materials at the Department of Structural Engineering, Norwegian University of Science and Technology (NTNU) . He is renowned for his contributions to fracture mechanics and material science, serving as Editor-in-Chief of Engineering Fracture Mechanics and recipient of the Griffith Medal from the European Structural Integrity Society (ESIS). His research focuses on damage mechanics, hydrogen embrittlement, and anti-icing materials, utilizing experimental and computational approaches. Education: BSc and MSc in Structural Engineering, Tongji University (1985, 1988) PhD in Mechanical Engineering, Lappeenranta University of Technology (1994) Research Interests span damage and fracture mechanics , additive manufacturing (AM) , hydrogen embrittlement , and anti-icing surface development . His work integrates multiscale computational modeling with nanomechanical experiments , addressing challenges in energy, structural integrity, and material design. Publication Trends highlight his expertise in hydrogen embrittlement , gas hydrate adhesion , anti-icing surfaces , and additive manufacturing . His articles in journals like Chemical Reviews and Advanced Materials emphasize predictive modeling , nanoscale characterization , and sustainable material solutions . Scientific Awards include Griffith Medal (2024, ECF24) ESIS Fellow (2014) Norwegian Academy of Technological Sciences membership Academic Service involves external doctoral examinations at institutions like Paris Tech and National University of Singapore, and faculty review roles at Imperial College and University of Michigan. He founded the NTNU Nanomechanical Lab in 2006 and has led 14 externally funded projects totaling over €12 million.

• Environmental technology
• Chemical process technology
• Mathematical modeling and numerical methods
• +9 more

Tiina Komulainen is a Professor at Oslo Metropolitan University's Faculty of Technology, Art and Design, specifically within the Department of Mechanical, Electronics and Chemistry. Her work focuses on environmental technology, biogas production, and wastewater treatment through advanced simulation and control engineering techniques. Key affiliations: Applied Artificial Intelligence research group Collaborative projects: MaxBiogas (with OsloMet and Veas) Research themes: Digital competence development in water industry, smart water technology Her research integrates mathematical modeling, machine learning, and technical cybernetics to optimize biological wastewater processes. Recent projects involve virtual sensors, nutrient estimation, and dynamic simulation for sustainable biogas production. Publications highlight collaborations with international institutions like Linköping University and Mälardalen University, focusing on municipal MBBR processes, energy-efficient wastewater treatment, and district heating network optimization. She contributes to educational advancements through simulation-based learning technologies and has developed teaching materials on model predictive control at Metropolia University of Applied Sciences.

• Pharmacokinetics
• Transplantation
• Immunosuppressive Drugs
• +6 more

Anders Åsberg is a Professor at the Department of Pharmacy, University of Oslo, with a focus on pharmacokinetics and its application in organ transplant recipients. He leads the Section of Pharmacology and Pharmaceutical Biosciences and is actively involved in clinical studies related to immunosuppressive drug therapy. Current affiliation: Professor II, University of Oslo Previous roles: Managing Director, Renal Physiology Laboratory (2013–present); Medical Director, Roche Norge AS (2000–2003) Research Interests : Pharmacokinetics of immunosuppressive drugs Drug interactions in transplantation Role of transporters in drug disposition Population modeling for therapeutic drug monitoring Clinical trials in transplant recipients Effects of metabolic changes (e.g., gastric bypass) on drug metabolism Scientific Awards : Best Young Investigator, European Renal Association (2001) Collaborations span institutions such as the Clinical Pharmacokinetic Research Laboratory at the University of Rhode Island and the Laboratory of Applied Pharmacokinetics at the University of Southern California. His work frequently addresses the interplay between drug therapy, patient physiology, and long-term outcomes in kidney transplantation.

• Control Systems
• Robotics
• Power Systems
• +2 more

Professor Damiano Varagnolo is affiliated with the Department of Engineering Cybernetics at the Norwegian University of Science and Technology (NTNU), where he conducts research spanning control systems, robotics, power systems, and data-driven modeling. His work bridges theoretical advances with practical applications in underwater vehicles, medical rehabilitation, and energy infrastructure. His research focuses on: Development of formation control algorithms for autonomous underwater vehicles (AUVs) and snake robots Transient stability enhancement for grid-forming converters in renewable energy systems Data-driven modeling of physiological signals for wheelchair propulsion and industrial processes Distributed optimization for underwater communication networks Recent publications (2024-2025) demonstrate strong emphasis on: Underactuated vehicle control using hand position concepts Energy expenditure estimation through physiological signal processing Consensus protocols for JANUS-based underwater networks Educational innovation through control-themed outreach initiatives like the Advent Calendar project He actively collaborates with NTNU colleagues across engineering disciplines and contributes to curriculum development through graph-theoretic approaches for educational coherence.

• Colorectal Cancer
• Pharmacogenetics
• Opioid Treatment
• +2 more

Eivor Alette Laugsand is an Associate Professor at the Norwegian University of Science and Technology (NTNU), affiliated with the HUNT Research Centre. Her work focuses on pharmacogenetics, symptom management in palliative care, and colorectal cancer research. PhD (2011) from NTNU Medical Student Research Thesis (2008) at NTNU Key research areas include: Pharmacogenetic mechanisms in opioid treatment response Colorectal cancer detection and risk factors Symptom management in advanced cancer patients Application of liquid biopsy for early cancer detection Traumatic brain injury epidemiology Her recent publications emphasize: Colorectal cancer biomarker discovery using liquid biopsy Genetic and environmental risk factors for cancer subtypes Improving pain management protocols in palliative care Understanding sex-specific differences in disease presentation Outreach activities include: Public interviews (2016-2018) Conference presentations (IASGO, SAGES, EAPC) Contributions to evidence-based clinical guidelines

• Applied statistics
• Clinical cancer research
• Controlled clinical trials
• +5 more

Eva Skovlund is a Professor at the Department of Public Health and Nursing , Norwegian University of Science and Technology (NTNU), Faculty of Medicine and Health Sciences. Her work bridges applied statistics with clinical research in cancer, obesity, and chronic disease management. Education : PhD in Medical Statistics, University of Oslo (1990) MSc in Pharmacy, University of Oslo (1985) Research Interests : Eva focuses on applied statistical methods , clinical cancer research , controlled clinical trials , and drug safety assessment . Her work spans hypertension management in Nepal, neuro-oncology, and metabolic effects of bariatric surgery. Publication Trends : Recent articles (2021–2025) emphasize brain metastases prognosis hypertension interventions in South Asia pharmacokinetic studies in obesity statistical modeling for multimorbidity maternal and child health risks Scientific Contributions : While no specific awards are listed, her extensive peer-reviewed publications in Cancers , BMJ Open , Clinical Pharmacokinetics , and Tidsskriftet underscore her impact.

Erica ZahlView profile

Research Fellow

• Clinical Psychology
• Child and Adolescent Mental Health
• Family Dynamics
• +3 more

Erica Zahl is a Doctoral Research Fellow at the Department of Psychology , University of Oslo , affiliated with the Faculty of Social Sciences . Her research focuses on family dynamics, mental health in families with children experiencing chronic disorders or disabilities, and the development of interventions to support siblings and parents. She leads the Sibling Project (SIBS) , investigating psychological risks and protective factors in these contexts. Her work emphasizes clinical psychology and developmental perspectives, with a particular interest in how chronic illnesses affect family systems. Key themes include parental well-being, sibling relationships, and the efficacy of group interventions. Publications span journals like Journal of Pediatric Psychology and Frontiers in Psychology , reflecting her commitment to translational research. Dr. Zahl’s recent studies highlight interventions targeting mental health outcomes in siblings and parents, using randomized controlled trials and longitudinal designs. She collaborates with interdisciplinary teams to address gaps in clinical practices for families facing chronic challenges.

Mahmoud Sayed Mahmoud EidView profile

Research Fellow

• Data-driven fault diagnosis
• Electric power trains
• Electromagnetic modeling
• +1 more

Mahmoud Sayed Mahmoud Eid is a PhD Research Fellow in Engineering Sciences at the University of Agder. His research focuses on fault diagnosis in electric powertrains using AI-driven methods. He holds a B.S. in Mechatronics Engineering from Helwan University (2013) and an M.S. in Advanced Mechanical and Robotics Engineering from Ritsumeikan University, Japan (2019). Research Focus: Develops computational models for early fault detection in electric motors and inverters under noisy operational conditions. His methodologies integrate electromagnetic theory with machine learning for industrial applications in transportation and energy systems. Publications: His 6 most recent articles (2022-2025) focus on AI-enhanced diagnostics for power electronics and motor systems, demonstrating consistent innovation in signal processing and classifier design for industrial reliability.

Narada Dilp WarakagodaView profile

Associate Professor

• Artificial Intelligence
• Autonomous Systems
• Computer Vision
• +3 more

Narada Dilp Warakagoda is an Associate Professor at the University of Oslo, affiliated with the Section for Autonomous Systems and Sensor Technologies. His research focuses on Artificial Intelligence, Autonomous Systems, Computer Vision, Robotics, Machine Learning, and Deep Learning, with notable contributions to underwater acoustics, renewable energy forecasting, and unmanned vehicle control systems. He collaborates extensively with researchers across disciplines to advance applications in environmental monitoring, energy systems, and autonomous technologies. His work integrates advanced machine learning techniques with domain-specific challenges, such as synthetic aperture sonar analysis, spatio-temporal wind forecasting, and reinforcement learning for autonomous navigation. He has published in leading journals and conferences, addressing topics like probabilistic solar irradiance prediction, graph-based wind energy modeling, and deep learning for seabed munitions detection. Warakagoda’s research bridges theoretical advancements with practical implementations, emphasizing applications in robotics, environmental science, and defense technologies. His projects often involve interdisciplinary teams, reflecting his commitment to solving real-world problems through innovative AI-driven solutions.

• Industrial Logistics
• Supply Chain Management
• Digitalization in Logistics
• +7 more

Fabio Sgarbossa is a Full Professor of Industrial Logistics at NTNU's Department of Mechanical and Industrial Engineering, Faculty of Engineering. He holds editorial roles in journals like the International Journal of Production Research and has authored over 150 publications. His research focuses on industrial logistics systems, supply chain resilience, and Industry 4.0 technologies, with a strong emphasis on human-centric design and digital transformation. Education: Master's in Management Engineering (2005) and PhD in Industrial Engineering (2010), both from the University of Padova, Italy. Research Interests: Design and management of industrial logistics; supply chain optimization; digitalization in manufacturing; human factors in production systems; autonomous mobile robots (AMRs); predictive maintenance; and circular economy integration. He leads NTNU's Logistics 4.0 Lab and collaborates on EU-funded projects. Key Contributions: Developed frameworks for Industry 4.0 adoption in logistics, decision support systems for additive manufacturing, and human-centric warehouse design. His work bridges operational efficiency with worker well-being. Grants & Collaborations: Active in EU and national projects focusing on smart manufacturing, resilient supply chains, and aging workforce challenges. Supervises graduate students in logistics systems and technology integration. Labs/Teams: Head of Logistics 4.0 Lab at NTNU, collaborating with industry partners on AMR implementations and digital twin applications.

• Pediatric Cardiovascular Health
• School-Based Physical Activity Interventions
• Child Fitness and Anthropometry
• +3 more

Per Morten Fredriksen is a Professor at the Department of Nursing, Health and laboratory science within the Faculty of Health, Welfare and Organisation at the University of South-Eastern Norway. His research is primarily conducted through the Health Oriented Pedagogical Project (HOPP), a longitudinal school-based intervention program investigating physical activity and health outcomes in Norwegian children aged 6-12 years. His academic interests focus on pediatric cardiovascular health, school-based physical activity interventions, and metabolic health in children. Key research areas include establishing reference intervals for pediatric biomarkers, investigating waist-to-height ratio as a predictor of cardiometabolic health, and examining the relationship between physical activity, cognitive function, and academic performance. His work frequently employs retinal microcirculation analysis and anthropometric measurements to assess cardiovascular health in children. Analysis of recent publications reveals strong emphasis on longitudinal cohort studies within Norwegian primary schools, with particular attention to how physical activity interventions affect cardiovascular metrics, academic outcomes, and psychosocial health. The HOPP project serves as the central framework for most investigations, generating population-specific reference data while exploring intervention efficacy. Fredriksen maintains active collaborations with researchers across multiple institutions, particularly with Asgeir Mamen and Morten Lindberg. His work demonstrates consistent methodological rigor through controlled longitudinal designs and innovative measurement techniques including retinal imaging and hair biomarker analysis.

• Robotics
• Control Systems
• Marine Engineering
• +3 more

Amer Orucevic is a Research Fellow at the Department of Engineering Cybernetics, Norwegian University of Science and Technology (NTNU). His research focuses on advanced control methodologies for underwater snake robots, emphasizing practical stability, trajectory tracking, and environmental interaction. He specializes in nonlinear control systems, model predictive control, and extremum-seeking algorithms applied to autonomous marine robotics. Orucevic has contributed to multiple international conferences and journals, including the IEEE Transactions on Control Systems Technology and Control Engineering Practice. His work addresses challenges in positioning robots within complex marine environments like vortex wakes and optimizing sinusoidal gait patterns for efficient locomotion. Key Research Areas: Underwater Robotics, Nonlinear Control, Autonomous Systems Conference Contributions: Presented at 2022 IEEE Conference on Control Technology and Applications, 2023 IFAC World Congress, and 2024 IFAC Conference on Marine Systems