جست‌وجوی استاد و پژوهشگر

• Computer Vision
• Machine Learning
• Deep Learning
• +۷ مورد دیگر

Habib Ullah is an Associate Professor in Data Science at the Norwegian University of Life Sciences (NMBU), Norway, where he conducts research at the intersection of computer vision and machine learning. He is affiliated with the Institute of Data Science under the Faculty of Science and Technology. He has previously held academic positions at COMSATS University Islamabad, Pakistan, and the University of Ha'il, Saudi Arabia, and served as a postdoctoral researcher at The Arctic University of Norway. Educational Background: PhD in Information and Communication Technology (Computer Vision), University of Trento, Italy (2011–2015) MSc in Electronics and Computer Engineering, Hanyang University, South Korea (2007–2009) BSc in Computer Systems Engineering, NWFP University of Engineering and Technology, Pakistan (2002–2006) Habib Ullah's research is primarily focused on computer vision and machine learning, with applications in aquaculture, agriculture, and human behavior analysis. He investigates underwater fish feeding sounds using audio classification, develops zero-shot learning models for recognizing unseen classes, and applies deep learning to detect stress in salmon via skin dot patterns. He also explores AI-driven controlled environment agriculture, leveraging sensors and automation for optimal crop growth. His work emphasizes practical AI solutions for real-world challenges in environmental and biological domains. The recent publications highlight a strong trend in leveraging deep learning for zero-shot and semi-supervised learning, particularly in computer vision tasks such as sea ice classification, crowd anomaly detection, and agricultural monitoring. His research spans remote sensing, biomedical signal processing, and human activity recognition, demonstrating interdisciplinary versatility. The keywords reflect a focus on robust feature representation, knowledge transfer, and model generalization. Scientific Awards and Funding: Industrial PhD grant 'Advancing Controlled Environment Agriculture AI' from The Research Council of Norway (Project number 354125, 2 million NOK, 2024) Team member (Coordinator-Participant) in the Battery Cell Assembly Twin (BatCAT) project funded by Horizon Europe (7 mEuro, 2023–2027) Development of an AI-Based Image Analysis System for Monitoring Plant Status (Funding: 1.8 mNOK, starting 2025) Habib Ullah actively supervises PhD projects and contributes to academic service through editorial and organizational roles. He has served as an Associate Editor for IEEE Access, Guest Editor for MDPI Remote Sensing, and Editor of the Springer book Machine Learning Techniques and Sensor Applications for Human Emotion, Activity Recognition, and Support (ML-SHEARS) . He has also been a Track Chair and Program Committee Member for several international conferences, reflecting his leadership in the academic community. His research is supported by significant grants and collaborative projects, indicating strong institutional and international engagement. He is involved in multiple research teams and projects, including the BatCAT project on battery manufacturing and AI applications in controlled environment agriculture with RIFT LABS AS. His lab work integrates deep learning, sensor fusion, and data analytics for environmental and biological monitoring systems.

• EEG Signal Processing
• Brain-Computer Interfaces
• Artificial Intelligence
• +۵ مورد دیگر

Marta Molinas 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). Her research spans multiple interdisciplinary domains with a focus on EEG technology and brain-computer interfaces. She actively supervises numerous Master's projects and maintains extensive international collaborations with institutions including Kavli Institute for Systems Neuroscience, RIKEN Center for Brain Science, University of Tsukuba, Juntendo University, and several European universities. Professor Molinas' research interests center on developing innovative EEG technologies, particularly her FlexEEG concept for reduced-channel EEG systems with brain imaging capabilities. Her work integrates signal processing, artificial intelligence, and neuroscience to create practical applications in mental health, sleep research, neurorehabilitation, and human-computer interaction. She specializes in EEG source imaging, machine learning for brain signal analysis, and the development of brain-computer interfaces for various applications including locked-in syndrome communication, ADHD treatment, and driver monitoring systems. Her publication portfolio demonstrates strong trends in interdisciplinary research combining neuroscience with electrical engineering and artificial intelligence. The work shows particular emphasis on developing practical EEG-based systems that minimize invasiveness while maintaining analytical power, with applications spanning healthcare, rehabilitation, and human augmentation. Her research bridges theoretical signal processing with real-world implementations through numerous student projects and international collaborations. Professor Molinas actively supervises a large team of Master's and PhD students across multiple projects, with each project typically requiring two students working collaboratively. Her research is supported through numerous international collaborations with institutions in Japan, India, and Europe, indicating substantial research funding and project leadership. She has developed a pipeline of student projects that build upon previous work, creating a cumulative knowledge base within her research group. She leads the EEG ITK research team at NTNU, which focuses on developing the FlexEEG headset prototype featuring flexible, wireless, dry electrodes designed to move across the scalp. This team works at the intersection of neuroscience, electrical engineering, and computer science, developing applications for sleep research, mental health monitoring, neurorehabilitation, and brain-computer interfaces. The team collaborates extensively with international partners including the Kavli Institute for Systems Neuroscience, the International Institute of Integrative Sleep Medicine at University of Tsukuba, and several engineering departments across Europe and Asia.

• Autonomous Systems
• Marine and Maritime Risk Analysis
• Operational Risk Management
• +۴ مورد دیگر

Professor Ingrid Bouwer Utne is a faculty member at the Department of Marine Engineering, Norwegian University of Science and Technology (NTNU). Her primary research focuses on risk analyses of ships, marine systems, and autonomy, with emphasis on operational safety, maintenance management, and risk control in autonomous maritime technologies. Key Projects: Leader of the Risk Group at NTNU, involved in the SFI Autoship initiative and ERC AdG BREACH project addressing risk-based rationality in autonomous systems. Research Interests: Autonomous systems design, probabilistic risk assessment, safety engineering, and risk-informed decision-making for marine operations. Grants & Funding: Secured funding from the Research Council of Norway, MAROFF, and industry partners for projects like ORCAS (Online Risk Management for Autonomous Ships) and UNLOCK (Supervisory Risk Control). She supervises numerous PhD students and postdocs, focusing on topics such as autonomous vessel navigation, risk modeling for underwater robotics, and decarbonization of maritime systems. Her work bridges theoretical risk analysis with practical applications in marine autonomy and safety systems.

• Power cycles and turbomachinery
• CO2 capture
• Process modeling and simulation
• +۳ مورد دیگر

Lars O. Nord is a Professor in the Department of Energy and Process Engineering at NTNU, specializing in thermal energy systems, CO2 capture technologies, and dynamic process modeling. He holds a PhD from NTNU (2010) and a Master's from Virginia Tech (2001). His research focuses on power cycles, turbomachinery optimization, and decarbonization strategies for energy systems. Nord has led projects such as DEXPAND and InnCapPlant, addressing CO2 capture under variable loads and expander efficiency in renewable systems. Current roles: Head of the Thermal Energy research group and teaches courses like Engineering Thermodynamics. Research highlights include thermal energy storage integration, moving bed adsorption processes, and offshore hybrid energy systems. His work spans over 80 publications, emphasizing CO2 capture dynamics, turbine design, and control strategies for flexible power plants. Notable collaborations include SINTEF and Aker Solutions. Nord advises multiple PhD candidates and has mentored alumni now leading roles in industry and academia.

• Power Market Analysis
• Hydropower Scheduling
• Power System Balancing
• +۵ مورد دیگر

Hossein Farahmand is a Professor at the Department of Electric Energy, Norwegian University of Science and Technology (NTNU), and leads the Electricity Markets and Energy Systems Planning (EMESP) research group. He holds an Associate Editor role at IEEE Transactions on Energy Markets, Policy and Regulation and contributes to international initiatives like IEA Wind Task 25 and ISGAN Annex 9. Education : Dr.ing. (PhD) from NTNU (2012) His research focuses on power market analysis, hydropower scheduling, power system balancing, and local flexibility markets in smart grids. Recent work explores renewable energy integration, digitalization, and hydrogen systems. Trends include machine learning applications in hydropower scheduling, offshore wind economics, and grid flexibility solutions. Scientific awards include Senior Member of IEEE and representation in ISGAN Annex 9 and IEA Wind Task 25 . He supervises PhD candidates and co-supervised projects in areas like grid tariffs , local energy communities , and electric vehicle integration . Grants include EU Horizon 2020 and Research Council of Norway funding for projects such as IntHydro , HONOR , and Ocean Grid . Labs and teams include the EMESP research group at NTNU, collaborations with Hohai University , Smart Innovation Norway , and industry partners in China and Norway.

• Laser Physics
• Nonlinear Optics
• Fiber Lasers
• +۵ مورد دیگر

Prof. Irina T. Sorokina is a Professor of Physics at the Norwegian University of Science and Technology (NTNU), leading the Laser Physics Group. Her research focuses on ultrafast lasers, mid-IR photonics, and their applications in materials processing, quantum computing, and spectroscopy. She holds a prestigious Fellowship from the Optical Society of America (2006) and the IEEE Snell Premium Award (2004). Research Interests: Her work spans laser physics, nonlinear optics, and solid-state laser technologies. Key areas include femtosecond laser development, mid-IR frequency combs, and advanced material processing techniques using ultrafast pulses. Recent projects include subsurface silicon modification, all-fiber mid-IR laser systems, and applications in quantum networks. Publications: Her 15 most recent articles (2023–2025) emphasize mid-IR scaling, dissipative solitons, and novel laser architectures. These contributions highlight advancements in energy-efficient laser systems and their industrial applications. Awards: Fellow of the Optical Society of America (2006) IEEE Snell Premium Award (2004) Co-founder of NTNU spin-off ATLA Lasers AS Advising & Innovation: Supervises graduate students in laser physics and materials science. Her lab collaborates on spin-off ventures and advanced projects like subsurface silicon processing for photovoltaics and quantum sensors. Research also extends to energy-dense battery materials and supercontinuum generation in chalcogenide fibers. Labs/Teams: Heads the Laser Physics Group at NTNU, focusing on mid-IR ultrafast lasers and their interdisciplinary applications. Collaborates internationally on projects like double-frequency comb spectroscopy and femtosecond laser writing in ZnS crystals.

• Safe Reinforcement Learning
• Data-Driven Model Predictive Control
• Artificial Intelligence
• +۷ مورد دیگر

Sebastien Nicolas Gros is a Professor at the Department of Engineering Cybernetics, Norwegian University of Science and Technology (NTNU). His research focuses on safe reinforcement learning (RL) and data-driven model predictive control (MPC), with applications in energy systems, biomedical engineering, and autonomous vehicles. Institution: Norwegian University of Science and Technology Department: Engineering Cybernetics His work emphasizes AI-driven optimization for domestic energy storage, battery integration, and smart building management. Collaborations include Equinor, DNV, Kongsberg, Volvo, and CorPower Ocean. Key themes in his publications include: Control theory for renewable energy systems (wave energy converters, buildings) Biomedical applications (artificial pancreas, glucose monitoring) Transportation systems (electric vehicles, autonomous ships) Machine learning integration with physical models He supervises 6 PhD students and co-supervises projects on multi-rotor wind turbines and industrial PhD collaborations. The articles demonstrate a convergence of RL, MPC, and uncertainty quantification across energy, biomedical, and transportation domains.

• Mining Rock Mechanics
• Rock Mass Properties
• Underground Support Systems
• +۲ مورد دیگر

Hakan Basarir is a Professor in the Department of Mining Engineering at the Norwegian University of Science and Technology (NTNU), Trondheim, Norway. His research and teaching focus on mining rock mechanics, rock mass characterization, underground support systems, and the application of soft computing methods in mining engineering. PhD in Mining Engineering (2002) 20+ years of research and teaching experience 60+ publications in journals and conferences Research Interests include rock mass property prediction using measurement while drilling (MWD) techniques, numerical modeling of mining structures, optimization of mine support systems, and sustainable material development. His work integrates machine learning and computational methods to address challenges in mining geomechanics and backfill design. Recent Publications highlight advancements in AI-driven lithology prediction, eco-concrete formulation, and backfill mixture optimization. He has also contributed to tunnel stability analysis and seismic rock slope modeling. Teaching includes advanced courses in mining engineering, mineral production modeling, and specialization projects in geotechnology.

• Industrial Ecology
• Material Flow Analysis
• Urban Metabolism
• +۵ مورد دیگر

Daniel Beat Müller serves as Professor at the Industrial Ecology Programme within the Department of Energy and Process Engineering at the Norwegian University of Science and Technology (NTNU), Trondheim. His office is located at Realfagbygget Gløshaugen (E4-120) with contact details daniel.mueller@ntnu.no and +4791897755. His research centers on analyzing human needs in relation to material/energy flows and environmental impacts, with two primary focus areas: (i) urban evolution and associated material flows for managing building/infrastructure stocks, and (ii) national/global metal cycles to identify supply constraint reduction strategies. His methodology integrates design, modeling, and decision-making through transdisciplinary stakeholder engagement. Müller teaches Material Flow Analysis and Systems Analysis of the Built Environment for Industrial Ecology and Civil Engineering Master's students. His research outputs demonstrate strong trends in circular cities, critical mineral management, and urban metabolism, with recent publications emphasizing building information modeling, electric vehicle battery systems, and phosphorus cycling. His work consistently addresses resource criticality within energy transition contexts. As (ad interim) chair of the International Society of Industrial Ecology’s MFA-ConAccount section, he contributes to methodological standardization. He previously served on the U.S. National Research Council’s Committee on Defense Stockpiles and remains active in Switzerland's National Research Programme 65 "New Urban Quality". Müller supervises numerous Master's and doctoral students, with thesis topics spanning lithium-ion battery recycling, building stock dynamics, and urban resource flows. His projects frequently involve industry collaboration for practical implementation of material stewardship strategies.

• Natural Gas Technology
• CO2 Utilization and Capture
• Hydrogen Production and Green Hydrogen
• +۱۳ مورد دیگر

Zhixin Yu is a Professor of Natural Gas Technology at the Department of Energy and Petroleum Technology, Faculty of Science and Technology, University of Southeastern Norway. His research is centered on advanced energy technologies with a strong focus on CO 2 utilization, hydrogen production, electrocatalysis, and next-generation battery systems. He actively collaborates with a broad network of researchers in materials science and chemical engineering. His research interests span CO 2 capture and conversion , green hydrogen production via electrocatalysis and photocatalysis , design of single-atom and nanostructured catalysts (including MOFs, carbon-based materials) , and advanced energy storage systems such as lithium-ion, lithium-sulfur, and lithium-ion capacitors . His work integrates experimental synthesis with theoretical modeling, particularly density functional theory (DFT), to understand and optimize catalytic and electrochemical processes. The recent publications (2021–2025) reveal a strong thematic trend toward electrocatalytic CO 2 reduction to value-added chemicals , hydrogenation reactions using sustainable catalysts , and interface engineering in battery materials to improve stability and performance . The keywords consistently include catalysis, energy materials, CO 2 utilization, and electrochemistry, highlighting his role at the forefront of sustainable energy technology development. Scientific Awards: No scientific awards mentioned in the provided text. Advising and Grants: While specific students or grant details are not listed, Professor Yu appears to lead or significantly contribute to a research group focused on energy materials. His extensive co-authorship with early-career researchers (e.g., Song Lu, Obinna Egwu Eleri, Frederik Thorbjørn Huld) suggests active mentorship and advising. The volume and quality of publications indicate successful acquisition of research funding, likely from national and international sources supporting sustainable energy and materials science. Labs and Teams: No specific lab or research team name is provided. However, his frequent collaboration with colleagues such as Fengliu Lou, Song Lu, and Kun Guo indicates a well-integrated research group within the Department of Energy and Petroleum Technology, likely focused on catalytic materials and energy storage devices.

• Scientific Computing
• Numerical Analysis
• Applied Mathematics
• +۵ مورد دیگر

Eirik Valseth is an Associate Professor of Scientific Computing at the Norwegian University of Life Sciences (NMBU), Department of Data Science. He holds concurrent roles as a research associate at the Oden Institute, University of Texas at Austin, and an affiliated researcher at Simula Research Laboratory (Department of Numerical Analysis and Scientific Computing). His expertise lies in advanced finite element methods for PDEs with applications in flood modeling and hydropower systems. Current Affiliation: NMBU (Norwegian University of Life Sciences) Secondary Affiliations: Oden Institute (UT Austin), Simula Research Laboratory Research interests span numerical methods for challenging PDE systems, including: Stabilized finite element formulations Hurricane storm surge and riverine flood modeling Hydropower infrastructure analysis Computational mechanics and applied mathematics His recent publications (2024–2025) emphasize flood risk assessment (compound flooding, dam breaks, dredging impacts), advanced numerical methods (isogeometric analysis, stochastic finite elements, graph-grammar algorithms), and environmental applications (pollution transport, pathogen distribution, mosquito population dynamics after hurricanes). Key trends include cross-disciplinary integration of physics-aware machine learning and robust hydrodynamic simulation tools. Valseth's work extends to software development (e.g., WAVEx for spectral wave models, SWEMniCS for coastal circulation) and large-scale modeling frameworks like the ADCIRC unstructured mesh model for US coasts. Collaborative projects involve institutions such as University of Texas at Austin, Simula, and NOAA.

• Mathematical Modeling
• Simulation of Machinery Systems
• Fluid Dynamics
• +۶ مورد دیگر

Eilif Pedersen is a Professor and Program Leader for Marine Technology at the Norwegian University of Science and Technology (NTNU). He leads the Department of Marine Technology under the Faculty of Engineering. His research focuses on mathematical modeling, simulation of machinery systems, and energy-efficient solutions in marine and offshore contexts. He is actively involved in projects such as SEACo, SFI Smart Maritime, and ViProMa, emphasizing virtual prototyping and hybrid power systems. Key research areas include bond graph methodology, thermodynamic system modeling, and dynamic analysis of marine systems. Pedersen supervises numerous PhD and industrial projects, including studies on hybrid propulsion, wind turbine dynamics, and fuel cell integration. He has contributed to over 50 publications, with recent work addressing co-simulation techniques, energy conservation in marine systems, and emission reduction strategies. His expertise spans marine engines, fluid dynamics, and renewable energy applications. Collaborations with industry partners like Rolls-Royce and Kongsberg Digital highlight his commitment to bridging academic research with practical maritime challenges.

• Ceramics for energy applications
• All-solid-state batteries
• Fuel cells
• +۵ مورد دیگر

Yulia Arinicheva Skåtun serves as an Associate Professor in the Department of Mechanical and Marine Engineering at Western Norway University of Applied Sciences (HVL), Campus Bergen. She teaches advanced courses including Hydrogen Technology, Electrochemistry for Batteries/Fuel Cells/Electrolysers, Thermodynamics, and Applied Fluid Dynamics, with scheduled instruction for MAS354 (Bachelor Thesis), MAS534 (Electrochemistry Systems), MAS550 (Guided Self-Study), and MAS595 (Master Thesis) through 2026. Her research spans ceramics for energy applications , all-solid-state batteries , and hydrogen technologies , with specialized focus on solid electrolytes like LLZO garnets. Current work investigates grain boundary effects in battery materials and hydration mechanisms in lithium-conducting ceramics, bridging fundamental materials science with practical energy storage solutions. She coordinates the EU Erasmus+ H2CoVE project building hydrogen competency and collaborates with FME HyValue, Norway's hydrogen research center. As leader of the HVL Hydrogen Team, she integrates experimental electrochemistry with thermodynamic modeling for next-generation energy systems. Her doctoral training at Forschungszentrum Jülich/RWTH Aachen focused on ceramic matrices for nuclear waste immobilization, followed by postdoctoral research on solid-state batteries. International research stays include UC Davis, ESRF, ICSM Marcoule, JRC-ITU, HZDR, and University of Bergen.

• Design for Sustainability
• Sustainable Product Design
• Circular Economy
• +۷ مورد دیگر

Casper Boks is Professor in Design for Sustainability at the Department of Design, NTNU Norwegian University of Science and Technology within the Faculty of Architecture and Design. He has held significant leadership roles including Vice Dean for Research and Innovation (2017-2021) and Head of Department (2013-2017). His research focuses on sustainable product and service design with specific expertise in design for sustainable behavior, circular economy implementation, societal sustainability narratives, and citizen engagement. With over 200 publications and an h-index of 42 on Google Scholar, his work bridges theoretical frameworks with practical industry applications to advance sustainability through design innovation. His recent publications demonstrate a strong focus on contemporary sustainability challenges, particularly lithium-ion battery repurposing, second-hand consumption barriers, plastic consumption patterns, and the emotional dimensions of sustainable behavior. His interdisciplinary approach connects design methodology with behavioral psychology, business model innovation, and systems thinking to address complex sustainability challenges. Professor Boks has supervised numerous PhD candidates as both main and co-supervisor, along with over 60 Master's theses at NTNU. His extensive project portfolio includes leadership in international initiatives such as NOTRAP (2025-2029), HolE-LiB (2022-2026), and TRANS-URBAN-EU-CHINA (2018-2021). He serves on numerous national and international committees including as Leader of the national committee for publication in Architecture, Design and Art (2024-present), and as a member of the Norwegian Academy of Technological Sciences. His international recognition extends to serving as an external assessor for academic positions worldwide and as a jury member for international design awards.

• Solar Cell Technology
• Photovoltaics
• Renewable Energy Systems
• +۳ مورد دیگر

Erik Stensrud Marstein is a Professor II at the Energy Systems Section of the Institute for Technology Systems (UiO) , with a dual role as Research Leader and Deputy Head of Department at the Department of Solar Energy, IFE . He has served as Director of the Norwegian Research Centre for Solar Cell Technology since its founding in 2009 and holds a Dr. Scient. in Physics from the University of Oslo (2003). Research Interests: Solar cell technology and photovoltaic systems. Hybrid renewable energy systems (solar-wind, solar-hydro). Material science for solar cell degradation and stability. Energy system optimization and grid integration. Thermal imaging and defect analysis in PV systems. Publications: His work focuses on photovoltaic modeling (e.g., bifacial gain, soiling loss), hybrid energy systems, material stability, and thermography applications. Recent studies include techno-economic feasibility of floating PV and forecast-driven energy market strategies. Teams & Labs: He leads the Norwegian Research Centre for Solar Cell Technology and collaborates with the Energy Systems Section at UiO/IFE. His research integrates experimental and computational approaches.