جستجوی استاد راهنمای دانشگاهی

Inge Hoffمشاهده پروفایل

استاد

• Materials for road construction
• Frost protection
• Laboratory testing
• +۵ مورد دیگر

Professor Inge Hoff is affiliated with the Norwegian University of Science and Technology (NTNU) in the Department of Civil and Environmental Engineering, where he has served since 2009. Prior to this, he held roles as senior researcher and research leader at SINTEF. Research Interests : Materials for road construction, frost protection, laboratory testing, pavement dimensioning, road rehabilitation, state development modeling, ground-penetrating radar surveys, and concrete/natural stone coverings. Students : Mentors active PhD fellows Lisa Hannasvik, Arman Hamidi, Clara Weber, and Shoiab Ahmad. Teaching : Coordinates courses like TBA4204/BYGT1102 Transport Infrastructure , BYGT2204 Road and Railway Construction , and BA8600 Pavement Structure Dimensioning . Recent publications highlight his expertise in granular material behavior, asphalt durability under climate stressors, and advanced structural assessment techniques. Collaborations with international researchers and presentations at major conferences (TRB, International Conference on Bituminous Mixtures) demonstrate his ongoing contributions to road engineering.

• Risk Assessment
• Hydrogen Technologies
• Process Safety
• +۴ مورد دیگر

Nicola Paltrinieri is a Professor of Risk Assessment at the Department of Mechanical and Industrial Engineering, NTNU (Norway), and an Adjunct Professor at the University of Bologna (Italy). His expertise spans risk assessment, hydrogen technologies, process safety, and data-driven safety management. He holds Chartered Engineer and Chartered Scientist certifications and has served on editorial boards for journals like Safety Science and Journal of Risk Research . Education: PhD in Environmental, Safety and Chemical Engineering (University of Bologna, 2012) Master’s in Chemical and Process Engineering (University of Bologna, 2008) Research Interests: Focuses on hydrogen infrastructure safety, Natech accident analysis, risk-based inspection strategies, and AI integration in safety systems. His work emphasizes sustainable energy transitions and mitigating risks in emerging technologies like hydrogen. Key Projects (2022-2026): H2Glass : Decarbonizing glass and aluminum sectors via hydrogen HyInHeat : Hydrogen technologies for industrial heating HYDROGENi : Norwegian research center for hydrogen/ammonia Awards: Onsager Fellowship (2016–2021) Frank Lees Medal (2012) for safety-related publications Grants & Leadership: Head of NTNU Energy Team Hydrogen, coordinator for EU-funded projects like SUSHy , and active in international risk committees (e.g., EFCE, ESRA). His work bridges academia and industry, with over 8 PhD examinations supervised. Labs/Teams: Leads the NTNU Energy Team Hydrogen and collaborates on initiatives like SH2IFT-2 for safe hydrogen fuel handling. His research group focuses on AI-driven risk analysis and hydrogen infrastructure resilience.

• Verification and Validation
• Search-Based Software Engineering
• Autonomous Driving
• +۳ مورد دیگر

Shaukat Ali serves as Research Professor and Head of the Department of Engineering Complex Software Systems at Simula Research Laboratory, concurrently holding the title of Chief Research Scientist. His academic leadership drives innovation at the critical nexus of quantum computing, artificial intelligence, and software engineering, with concentrated expertise in verification, validation, and testing methodologies for complex systems including cyber-physical infrastructures and autonomous robotics. His primary research domains encompass: Verification and Validation Search-Based Software Engineering Autonomous Driving Systems Cyber-Physical Systems Engineering Digital Twin Technologies Quantum Software Engineering Analysis of recent publications (2024-2025) reveals a decisive trend toward quantum-AI convergence in software engineering, particularly through quantum software testing frameworks and AI foundation models applied to cyber-physical systems. His work systematically addresses noise mitigation in quantum hardware, uncertainty quantification in adaptive robotics, and novel testing paradigms using vision-language models for industrial robotics—demonstrating both theoretical rigor and industrial applicability. As department head, Ali spearheads strategic research directions in complex software systems, fostering cross-disciplinary collaboration while actively shaping quantum software engineering through workshops like QAI2024 and Q-SANER 2024. His invited presentations at venues including JYU Quantum Electronics and EU-Korea Quantum Forums underscore his influence in defining emerging research landscapes.

David Aly Redvaldsenمشاهده پروفایل

دانشیار

• History
• Political Science
• Sociology
• +۳ مورد دیگر

David Aly Redvaldsen is an Associate Professor at the University of Agder's Department of Sociology and Social Work. He specializes in historical studies focusing on eugenics, political movements, and education. His recent work includes A History of British Eugenics since 1865 (2024) and The Labour Party in Britain and Norway (2011). He holds a joint first prize in the 2014 Emile Lousse Prize for his article on British-Norwegian constitutional relations. Research Interests: Redvaldsen’s work bridges history, sociology, and political science. Key areas include the historical development of eugenics, Labour Party dynamics in Britain and Norway, social Darwinism, and the role of historical education in kindergartens. His interdisciplinary approach examines how scientific ideas intersect with political and social institutions. Publications: Over 30 peer-reviewed articles and two monographs. Recent topics include the teaching of history in Nordic kindergartens, the Labour Party’s engagement with social Darwinism during WWI, and comparative studies of Nordic eugenics movements. Awards: 2014 Emile Lousse Prize (joint winner) for 'Great Britain and the Norwegian Constitution of 1814'. Grants & Collaborations: Active in social studies didactics research groups. His work on Norwegian parliamentary history in textbooks (2021) highlights evolving national narratives. Current projects include studies on biotechnology ethics and the legacy of Herbert Brewer’s socialist eugenics advocacy. Labs/Teams: Member of the Social studies didactics and educational research group at UiA, focusing on curriculum development and interdisciplinary historical education.

• Metal Forming
• Aluminum Alloys
• Product Development
• +۳ مورد دیگر

Torgeir Welo is a Professor at the Department of Mechanical and Industrial Engineering , Norwegian University of Science and Technology (NTNU) . He specializes in metal forming , particularly aluminum alloy structures , with a focus on plastic bending behavior , dimensional stability , and 3D forming technologies . His research also encompasses Lean Product Development , emphasizing knowledge reuse and maximizing customer value in automotive and aerospace applications. Key Research Areas : Metal Forming, Aluminum Processing, Springback Control, Lean Development, Additive Manufacturing, Material Substitution Teaching : Courses on Aluminum Technology , Metal Forming Analysis , and Machine Element Design Publications (15 most recent): Focus on springback monitoring , charge weld evolution , flexible forming , machine learning applications , and circular economy frameworks in metal manufacturing.

Christian Hellandمشاهده پروفایل

استادیار

• Physical Training
• Strength Training
• Athlete Testing
• +۴ مورد دیگر

Christian Helland serves as an Assistant Professor in the Department of Sport and Social Sciences at the Norwegian School of Sport Sciences (NIH). Additionally, he works as a consultant in the strength department at Olympiatoppen (the Norwegian Olympic Training Center), where he is responsible for physical training programs for beach volleyball, para table tennis, and rowing athletes. Christian holds a master's degree from the Institute of Physical Performance and has been engaged in both practical and theoretical lecturing since 2012. His professional background includes competing as a beach volleyball player at the World Tour level since 2014, which provides him with valuable practical experience to complement his academic work. Dr. Helland's research focuses on optimizing athletic performance through scientific approaches to physical training. His work examines strength development, jump and sprint performance metrics, tendon mechanics, and recovery processes in elite athletes. His research has significant practical applications for coaches and athletes seeking to improve performance while minimizing injury risk. His publication record demonstrates a strong focus on force-velocity profiling, strength and power testing methodologies, and the physiological responses to different training modalities. A recurring theme in his work is the comparison of different training approaches and assessment methods, particularly examining how strength-oriented versus power-oriented training affects recovery needs and performance outcomes. His research often involves collaborations with other leading sports scientists across Norway and internationally. Christian teaches courses in volleyball, coaching methodologies, sports psychology, and sports practice for children and youth. His practical experience as an elite athlete informs his teaching approach, bridging theoretical knowledge with real-world application.

Lilja Øvrelidمشاهده پروفایل

استاد

• Natural Language Processing
• Machine Learning
• Computational Linguistics
• +۳ مورد دیگر

Lilja Øvrelid is a Professor at the Department of Informatics, University of Oslo, leading the Language Technology Research Group. Her research focuses on syntactic and semantic text processing using machine learning techniques such as dependency parsing, negation analysis, and sentiment analysis. She teaches courses including IN1140: Introduction to Language Technology , IN5550: Neural Methods in NLP , and INF5830: Natural Language Processing . Her academic interests span natural language processing, machine learning, and computational linguistics, with a particular emphasis on Norwegian language technology. Recent publications highlight work in sentiment analysis (including patient feedback), event extraction from Norwegian news, benchmarking language models, emotion analysis for under-resourced languages (Pashto, Farsi-Dari), and bias detection in multilingual models. She actively contributes to the development of Norwegian language resources such as NorBench, NorQuAD, and NoReC. Current projects include BigMed and SIRIUS , focusing on biomedical text mining and AI infrastructure. Collaborations with colleagues like Erik Velldal, David Samuel, and Vladislav Mikhailov are frequent in her work. Despite no explicit mention of scientific awards, her contributions to NLP and computational linguistics are substantial through publications, datasets, and tool development.

• Quality of Life
• Coping Mechanisms
• Aging and Health
• +۱۲ مورد دیگر

Anne-Sofie Helvik is a Professor at the Norwegian University of Science and Technology (NTNU) within the Department of Public Health and Nursing . Her research focuses on quality of life, coping mechanisms, aging, impairment, and disabilities, with a particular emphasis on older adults. Email: anne-sofie.helvik@ntnu.no Location: Øya Helsehus, 153.03.001, Øya, Håkon Jarls gate 11 Her work spans multiple domains: Health Promotion: Central to her research is improving health outcomes in older populations. Substance Misuse: Investigates alcohol and drug use among older adults and its impact on health. Mental Health: Studies depression, pain, and dementia in aging populations. Sensory Function: Explores olfactory and hearing impairments in older adults. Healthcare Systems: Evaluates treatment, care, and postoperative follow-up in both pediatric and geriatric contexts. Her methodological approach combines both quantitative and qualitative research , with a strong emphasis on longitudinal studies and population-based analyses. Currently, she supervises two doctoral students: Heidi Sivertsen – Researching depression among older community residents. Ingrid Torvik Heian – Investigating olfactory functioning. Her research unit, Allmennmedisinsk Forsknings Enhet (AFE) , focuses on aging and health in older adults, accessible via NTNU’s aging and health page.

• Control Theory
• Partial Differential Equations
• Drilling Engineering
• +۶ مورد دیگر

Ole Morten Aamo is a Professor at the Department of Engineering Cybernetics within the Faculty of Information Technology and Electrical Engineering at the Norwegian University of Science and Technology (NTNU) in Trondheim, Norway. His office is located at Elektro D/B2, D344, Gløshaugen, O. S. Bragstads plass 2, and he can be reached at aamo@ntnu.no or by phone at 73594386. Professor Aamo's research focuses on control theory with particular emphasis on partial differential equations (PDEs) and their applications in drilling engineering and the petroleum industry. His work spans multiple areas including boundary control of hyperbolic systems, adaptive control methodologies, vibration control in drilling operations, and leak detection systems for pipe networks. His research combines theoretical control developments with practical applications in the oil and gas sector, particularly addressing challenges related to stick-slip phenomena, torsional vibrations, and pressure oscillations in drilling operations. His publication record reveals a consistent trajectory of high-impact research in control systems, with a notable shift toward integrating machine learning approaches with traditional control theory in recent years. The majority of his work centers around hyperbolic PDE systems, with applications primarily in drilling engineering and fluid dynamics. His research demonstrates a strong connection between theoretical control developments and practical implementations in the petroleum industry. Professor Aamo has actively supervised multiple graduate students, as evidenced by the master's theses listed in his publication record. His work often appears in top-tier control journals including IEEE Transactions on Automatic Control, Automatica, and IEEE Control Systems Letters, as well as petroleum engineering venues like SPE Journal and ASME publications.

Eduard Kamburjanمشاهده پروفایل

پژوهشگر

• Digital Twins
• Formal Methods
• Hybrid Systems Verification
• +۵ مورد دیگر

Eduard Kamburjan is a Researcher at the University of Oslo , affiliated with the Reliable Systems (PSY) and Data and Knowledge Systems (DKM) research groups. His work bridges formal methods , digital twin engineering , and knowledge graph applications . Research interests include: Formal verification of hybrid systems using deductive methods Digital twin architecture with compositional correctness guarantees Semantic lifting and ontology-driven modeling for complex systems Concurrency analysis and non-determinism in program verification Interactive visualization as serious games for formal methods His 2024-2023 publications demonstrate expertise in digital twin reconfiguration , semantic interoperability , and knowledge-based runtime enforcement . Key contributions include Crowbar for active object verification and ABS simulator toolchain for model-driven engineering. Collaborations span institutions like Springer , ACM , and IEEE , with work featured in Lecture Notes in Computer Science (LNCS) , Software and Systems Modeling (SoSyM) , and Science of Computer Programming . His research integrates RDF data management , behavioral contracts , and modular analysis for distributed systems.

Tønnes Nygaardمشاهده پروفایل

دانشیار

• Robotics
• Evolutionary Algorithms
• Morphological Adaptation
• +۳ مورد دیگر

Tønnes Nygaard is an Associate Professor at the Department of Technology Systems, University of Oslo, affiliated with the Faculty of Mathematics and Natural Sciences. His research focuses on evolutionary robotics, morphological adaptation, and embodied artificial intelligence. He leads projects like COCOMO (Co-evolution of Control and Morphologies) and works extensively with the DyRET (Dynamic Robot for Embodied Testing) platform. Key research interests include robot control systems, adaptive morphology design, and real-world implementation of evolutionary algorithms. His work bridges theoretical computer science with practical robotics applications, emphasizing hardware-software co-evolution and embodied cognition principles. Publications span topics like morphological adaptation in quadruped robots, semi-supervised learning for terrain classification, and overcoming convergence issues in multi-objective evolutionary algorithms. Nygaard collaborates internationally and contributes to both academic journals and conferences in robotics and AI. No scientific awards are explicitly listed, though his impactful contributions to real-world evolutionary robotics suggest potential recognition pending explicit mentions. Advising and grant activities are central to his role, though specific student names or grant amounts are not detailed in the provided texts. Labs/Teams: Core contributor to the DyRET project and affiliated with the Section for Autonomous Systems and Sensor Technologies at UiO.

Arild Michel Bakkenمشاهده پروفایل

دانشیار

• Literacy Education
• Artificial Intelligence in Education
• Reading Assessment
• +۲ مورد دیگر

Arild Michel Bakken is an Associate Professor at the National Centre for Reading Education and Research, Faculty of Arts and Education, University of Stavanger, Norway, a position he has held since 2018. Previously, he taught French and Norwegian in Belgium (2016–2018) and was a Research Fellow in French Literature at the University of Oslo (2015–2016). Education: PhD in French Literature (co-tutelle), University of Paris-Sorbonne and University of Oslo (2015) MA in French Literature, University of Paris-Sorbonne (2010) BA in Modern Literature, Paul Valéry University (2006) His research spans literacy education, AI applications in learning, and reading assessment technologies. He leads major projects including the Erasmus+-funded AILIT (developing AI platforms for literacy) and the NRC-supported Adaptvurder (adaptive reading tests). His work integrates recommender systems, machine translation, and psychometric modeling to enhance educational outcomes. Bakken’s publications transition from early expertise in Mallarmé’s poetry (using hermeneutic/rhetorical frameworks) to contemporary focus on literacy technology. Recent articles emphasize adaptive assessments, AI-driven pedagogy, and equitable educational tools. He contributes to national education initiatives as a developer of reading screening tests for Norway’s Directorate of Education and is active in Stavanger AI Lab . He also edits the Nordic Journal of Literacy Research and conducts professional workshops for teachers.

Arvid Nikolai Kildahlمشاهده پروفایل

پژوهشگر

• Mental Health
• Autism Spectrum Disorder
• Intellectual Disabilities
• +۳ مورد دیگر

Arvid Nikolai Kildahl is a PhD candidate at the Department of Psychology, University of Oslo, and is employed at Oslo University Hospital, where he works within two national competence units: the Norwegian Centre of Competence for Intellectual Disabilities and Mental Health (NevSom) and the Norwegian Centre of Neurodevelopmental Disorders and Hypersomnias. He splits his time as both a researcher and a clinician, working 50% at the outpatient clinic for mental health and autism/intellectual disabilities at Oslo University Hospital. His research focuses on detecting and understanding post-traumatic stress disorder (PTSD) and trauma-related symptoms in adults with co-occurring autism and intellectual disabilities, particularly when verbal disclosure is limited. Arvid holds a Master’s degree in Psychology from the University of Oslo (2009) and is a certified Specialist Psychologist in Clinical Psychology (2014). His academic interests center on mental health in individuals with autism and intellectual disabilities, emphasizing assessment and treatment challenges. He investigates how clinicians' understanding is shaped by patient interactions and explores biases in diagnosing co-occurring mental disorders. His recent publications (2023–2025) span trauma assessment, psychopathology in autism, mental health services adaptation, and diagnostic tool validation for individuals with intellectual disabilities. He frequently collaborates with researchers like Sissel Berge Helverschou and Hanne Weie Oddli on topics such as PTSD identification, schizophrenia in autism, and trauma-informed care approaches. Arvid’s work addresses critical gaps in clinical practice, including the need for non-verbal trauma detection methods, improved inpatient care environments, and standardized assessment tools tailored for neurodiverse populations. His projects are funded by Oslo University Hospital and aim to bridge research and clinical application in mental health services for vulnerable groups.

Milica Orlandicمشاهده پروفایل

دانشیار

• Hyperspectral Imaging
• Remote Sensing
• Digital Design
• +۷ مورد دیگر

Milica Orlandic is an Associate Professor in the Department of Electronic Systems at NTNU. She holds an MSc from the University of Montenegro (2009) and a PhD from NTNU (2015). Her research focuses on hyperspectral imaging, remote sensing, FPGA-based systems, and embedded computing for aerospace applications. She is actively involved in the HYPSO CubeSat mission, developing onboard processing systems for Earth observation. Education: MSc in Electrical Engineering, University of Montenegro (2009) PhD in Electronics, NTNU (2015) Research Interests: Her work spans hyperspectral data processing , including compression, anomaly detection, and onboard computing for satellites. She also explores reconfigurable hardware (FPGAs) for real-time signal processing, cyber-physical systems, and spaceborne sensor systems. Publications Trends: Recent work emphasizes lightweight machine learning for anomaly detection, FPGA acceleration of hyperspectral compression (CCSDS 123), and algorithm co-design for CubeSat missions. Key contributions include robust onboard processing frameworks for HYPSO-1 and adaptive hardware-software systems. Advising & Teams: She supervises a dynamic team of over 40 PhD and MSc students working on FPGA implementations, satellite systems, and hyperspectral algorithms. Notable collaborations include the HYPSO CubeSat project, which aims to deliver high-resolution Earth observation data with low latency. Labs & Infrastructure: Her research leverages NTNU’s facilities for embedded systems prototyping, FPGA development, and CubeSat payload testing. The HYPSO mission integrates her team’s hardware-software co-design innovations for space applications.

• Winter Road Maintenance
• Snow and Ice Engineering
• De-icing and Anti-icing Technologies
• +۳ مورد دیگر

Professor Alex Klein-Paste is affiliated with NTNU's Department of Civil and Environmental Engineering, focusing on winter operations of roads and airports. His research emphasizes snow and ice engineering, anti-icing strategies, and friction dynamics. He leads the NTNU SnowLab, a specialized facility supporting education and research in snow engineering. Klein-Paste teaches courses on road planning, maintenance in cold climates, and infrastructure management. His research spans experimental studies on de-icing chemicals, snow compaction, and winter maintenance optimization. Key contributions include developing regression models for maintenance efforts and analyzing cross-country ski friction mechanics. He collaborates widely, with recent work addressing automated vehicle infrastructure needs and bicycle rolling resistance in winter conditions. Labs/Teams: Director of NTNU SnowLab, part of the roads, railways, and transport research group. His work bridges experimental engineering and real-world applications, influencing both academic and industrial sectors.