جست‌وجوی استاد و پژوهشگر

• 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.

• Reliability Engineering
• Maintenance Optimization
• Risk and Safety Analysis
• +۸ مورد دیگر

Jørn Vatn is a Professor in reliability, availability, maintainability, and safety at the Norwegian University of Science and Technology (NTNU) , specifically within the Faculty of Engineering and the Department of Mechanical and Industrial Engineering . His work focuses on integrating risk assessment and maintenance strategies for critical infrastructure. MSc courses: TPK4120 Safety and Reliability Analysis , RAMS optimization PhD course: PK8200 Risk Influence Modelling and Risk Indicators Continuing Education: Maintenance Optimization , Safety and Reliability in Railway Applications , Project Risk Management , Risk Reducing Measures Research Interests span maintenance management, reliability modeling, condition-based maintenance, risk influence analysis, and digital twin applications in infrastructure. His methods emphasize statistical analysis and Markov processes to model degradation and optimize maintenance scheduling. The 15 most recent articles (2025-2022) demonstrate trends in applying Markov models , digital twins , and data-driven optimization to offshore wind turbines, railways, hydrogen pipelines, and cyber-physical systems. Subfields include predictive maintenance, stochastic degradation modeling, and infrastructure resilience. He leads the ROSS Gemini Centre and the RAMS group , advising on risk modeling and maintenance strategies. Collaborations involve SINTEF, industry partners, and international researchers.

Bjørn Tore Hjertakerمشاهده پروفایل

استاد

• Gamma-ray Tomography
• Multiphase Flow Measurement
• Hydrodynamic Modeling
• +۳ مورد دیگر

Bjørn Tore Hjertaker is a Professor at the Department of Physics and Technology, University of Bergen, specializing in Electronics and Measurement Technology. His research focuses on advanced measurement techniques for industrial processes, particularly gamma-ray tomography and multiphase flow analysis. He leads a research group developing novel instrumentation for energy systems, fluid dynamics, and environmental monitoring applications. Research interests span hydrodynamic modeling of offshore wind turbines, multiphase flow characterization in industrial pipelines, and advanced tomographic imaging techniques. His experimental approaches combine gamma-ray densitometry, electrical capacitance tomography, and computational fluid dynamics to solve complex engineering challenges. Publications demonstrate consistent focus on improving measurement accuracy for industrial processes through innovations in gamma-ray tomography, with applications in energy systems, carbon capture, and hydrocarbon flow monitoring. Recent work shows increasing emphasis on renewable energy applications including hydrodynamic optimization of floating wind turbines and closed aquaculture systems. Supervision activities include multiple Master's students working on projects related to hydrodynamic modeling of wind turbines, experimental hydrofoil design, multi-rotor optimization, and fish farm hydrodynamics. His group maintains active collaborations with University of Western Norway and international institutions.

• Composites
• Polymers
• Fatigue and Creep
• +۵ مورد دیگر

Andreas Echtermeyer is a full-time Professor at the Norwegian University of Science and Technology (NTNU) in the Department of Engineering Design and Materials . He previously served as an adjunct professor at NTNU from 2003 to 2008 and worked at Det Norske Veritas (DNV) as a senior principal engineer. He continues as a DNV consultant . Education: PhD in Materials Engineering (MIT), Diploma in Physics (Technical University of Munich) Research Interests: Composites and polymers with emphasis on long-term performance, fatigue, creep, environmental degradation, mechanical and adhesive joints, production methods like resin infusion and filament winding, multiscale modeling, and offshore applications. Projects: Led major initiatives including NICOLHY (2024-2026) on hydrogen tank insulation, Thor (2019-2022) on thermoplastic composite hydrogen vessels, Affordable Composites (2015-2018) on multiscale modeling, and Copatch (2010-2014) on composite-metal repair techniques. Scientific Contributions: Authored over 50 articles and 200 technical reports. Developed DNV offshore composites standards and ISO guidelines for adhesive joint technology. Key focus areas: fatigue analysis, hydrogen infrastructure, fiber-matrix interactions, and real-time inspection using fiber optics.

• Structural Health Monitoring (SHM)
• Steel Bridges
• Damage Detection Algorithms
• +۵ مورد دیگر

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.

Alejandro Jiménez Riosمشاهده پروفایل

مدرس

• Structural Engineering
• Conservation of Historic Buildings
• Non-Destructive Inspection Methods
• +۸ مورد دیگر

Alejandro Jiménez Rios is a Lecturer in Structural Engineering at the Department of Architecture & Civil Engineering, University of Bath, UK. His research focuses on preserving historic structures, sustainable architecture, and integrating Industry 5.0 technologies like digital twins and AI into conservation practices. He holds a PhD from Trinity College Dublin and has held fellowships at Sapienza University of Rome and the ICCROM. Education: PhD in Civil, Structural and Environmental Engineering, Trinity College Dublin (2016–2019) Erasmus Mundus MSc in Structural Analysis of Monuments and Historical Constructions, Czech Technical University and UPC Barcelona (2015–2016) BSc in Civil Engineering, University of Guadalajara (2009–2014) Research Interests: Conservation of historic buildings, non-destructive testing, sustainable materials, digital twins, and Industry 5.0 applications in civil engineering. His work aligns with UN Sustainable Development Goals 9 and 11. Recent Articles: Focus on digital twin frameworks for heritage bridges, Industry 5.0 in conservation, and AI-driven corrosion prediction. Recent trends include interdisciplinary collaboration and technology-driven solutions for cultural heritage preservation. Grants & Awards: Marie Skłodowska-Curie Actions Individual Fellowship (€227K, 2022–2025) ICCROM Visiting Fellowship (2024) MCAA Micro Grant (€820, 2024) Advising & Labs: Supervises PhD and Master’s students in structural conservation and hosts a vibrant research team at the Centre for Regenerative Design & Engineering (RENEW) at Bath. Collaborates with NGOs, museums, and policymakers on heritage conservation projects.

Audun Oppedal Pedersenمشاهده پروفایل

دانشیار

• Acoustics
• Ultrasonic Waves
• Fisheries Acoustics
• +۲ مورد دیگر

Dr. Audun Oppedal Pedersen is an Associate Professor specializing in Acoustics and Ocean Technology at the University of Bergen's Department of Physics and Technology. His research focuses on acoustic wave propagation, ultrasonic transducer technology, and applications in industrial monitoring and marine biology. Dr. Pedersen has developed tomographic methods for pipeline corrosion monitoring using guided ultrasonic waves and advanced techniques for fisheries acoustics including salmon size estimation through target strength analysis. His work frequently employs finite element modeling (FEM) for transducer calibration and acoustic system optimization.

Ramsey Al Jebaliمشاهده پروفایل

پژوهشگر

• Neutron Detectors
• Gamma-Ray Spectrometers
• Space Instrumentation
• +۳ مورد دیگر

Ramsey Al Jebali is a Postdoctoral Fellow at the Centre for Space Sensors and Systems (CENSSS) , University of Oslo, Norway. He also serves as an Honorary Research Fellow at the University of Glasgow's Nuclear Physics Experimental Group since 2017. His primary research focuses on developing compact neutron detectors and gamma-ray spectrometers for space missions, emphasizing their durability in harsh space environments. Previously, he was a Detector Scientist at the European Spallation Source (ESS) in Sweden (2017–2023) and held postdoctoral roles at the University of Glasgow (2013–2017). He earned his PhD in Experimental Photonuclear Physics from the University of Glasgow (2013), M.Sc. in Space Mission Analysis and Design (2007), and B.Sc. in Nuclear Engineering (2003) from the University of Tripoli. His work bridges nuclear physics, space instrumentation, and detector technology. Research Interests : Compact neutron/gamma detectors, space instrumentation, radiation detection, photonuclear physics, and applications in planetary exploration and nuclear waste management. His projects often involve collaborations with institutions like IDEAS and the ESS, aiming to advance detector design for extreme environments. Recent Publications highlight advancements in detector calibration (e.g., GEANT4-based methods), muon tomography for nuclear waste analysis, and scintillator-based technologies. His work frequently appears in journals like Journal of Instrumentation and Nuclear Instruments and Methods . Labs/Teams : Active contributor to CENSSS and collaborations with ESS, focusing on detector development for space missions. His research emphasizes interdisciplinary applications of radiation detection technologies.

Jan Lindlandمشاهده پروفایل

دانشیار

• Concrete Durability
• Concrete Rehabilitation
• Civil Engineering
• +۱ مورد دیگر

Jan Lindland is an Associate Professor at the Department of Engineering Sciences , University of Agder, working in 20%-employment. He holds a Master of Science in Civil Engineering from the University of Trondheim (now Norwegian University of Science and Technology) and has extensive experience in consulting engineering. Education: Master of Science in Civil Engineering (Building Construction), University of Trondheim (1983) Consulting Career: Partner and Managing Director at Stærk & Co. a.s. (1996–present), Managing Director at Knudsen & Kaarigstad AS (2001–2004), and Civil Engineer roles at Dr.techn. Kristoffer Apeland AS (1984–1996). His research focuses on concrete durability and rehabilitation techniques , particularly damage mechanisms in concrete structures and compliance with standards. His publications emphasize practical applications of electrochemical rehabilitation, chloride extraction, and historical preservation. Jan Lindland's consulting background informs his academic work, blending structural engineering and construction management with academic teaching. He has contributed to guidelines for concrete rehabilitation and technical seminars on the subject.

Maths Halstensenمشاهده پروفایل

استاد

• Chemometrics
• Acoustic Chemometrics
• Process Analytical Technology
• +۴ مورد دیگر

Professor Maths Halstensen is a distinguished faculty member in the Department of Electrical Engineering, Information Technology and Cybernetics at the University of South-Eastern Norway (USN), Faculty of Technology, Natural Sciences and Maritime Sciences, Campus Porsgrunn. With a career spanning over two decades since his 2002 PhD, he has established himself as a leading expert in chemometrics and process analytical technology, maintaining continuous research output through 2019 with significant contributions to industrial monitoring systems. His academic journey includes: PhD in Acoustic Chemometrics from NTNU (2002) MSc in Process Automation from Telemark University College (1997) BSc in Industrial Electronics from Gjøvik University College (1995) Professor Halstensen's research program centers on developing multivariate data analysis techniques for industrial process monitoring, with particular emphasis on: Acoustic chemometrics for multiphase flow characterization CO2 capture process optimization using spectroscopic methods Real-time monitoring of scale deposition in pipelines Multivariate regression modeling for energy and process prediction Raman and NIR spectroscopy applications in industrial settings His work bridges theoretical chemometrics with practical industrial implementations, focusing on solutions for metallurgy, chemical processing, and carbon capture sectors. Analysis of his 15 most recent publications reveals a dominant focus on carbon capture technologies (60% of recent work), particularly equilibrium measurements in ammonia-CO2 systems and real-time monitoring of absorption processes. His research demonstrates consistent application of multivariate modeling to solve industrial challenges, with strong emphasis on sensor development and practical implementation. Key methodological contributions include acoustic chemometric approaches for velocity measurement and novel calibration techniques for complex industrial mixtures. As leader of the ACRG Laboratory, Professor Halstensen directs research in: Acoustic sensor development for industrial environments Spectroscopic monitoring system integration Multivariate data analysis for process optimization Real-time control system implementation His teaching encompasses BSc, MSc, and PhD levels with focus on practical engineering skills. The research group benefits from institutional support through USN's strategic focus on 'Energy, climate and the environment,' with likely connections to Research Council of Norway funding and EU research programs. Professor Halstensen maintains active industry collaborations through his applied research on process monitoring solutions for energy-intensive industries.