جستجوی استاد راهنمای دانشگاهی

Filippo Maria Bianchi is an Associate Professor in the Department of Mathematics and Statistics at UiT The Arctic University of Norway, where he conducts research at the intersection of machine learning, dynamical systems, and complex networks. He is also a Senior Researcher at NORCE Norwegian Research Centre and actively contributes to the IEEE Task Force on Learning for Structured Data and the ELLIS Society. Department: Department of Mathematics and Statistics School: Faculty of Science and Technology University: UiT The Arctic University of Norway Adjunct Position: Senior Researcher, NORCE Education: Bachelor’s in Computer Engineering, Sapienza University of Rome Master’s in Artificial Intelligence & Robotics, Sapienza University of Rome (cum laude, 2012) PhD in Machine Learning, Sapienza University of Rome His research focuses on graph machine learning, time series analysis, reservoir computing, and probabilistic forecasting , with applications in energy analytics and remote sensing. He has led and contributed to numerous projects involving Arctic power grids, satellite-based environmental monitoring, and deep learning for sustainability. The recent publications reflect a strong trend in graph neural networks —particularly pooling mechanisms, spatiotemporal modeling, and explainability—alongside applications in energy forecasting, avalanche detection, and remote sensing . His work combines theoretical innovation with real-world impact, especially in Arctic and remote environments. Scientific Affiliations and Leadership: Vice-Chair, IEEE Task Force on Learning for Structured Data Member, ELLIS Society Co-founder, Northernmost Graph Machine Learning group Member, IEEE Task Force on Reservoir Computing Visiting Professor, Politecnico di Milano (2024–2025) He actively mentors students and collaborates on interdisciplinary research. He has led projects in power grid reliability, solar fault detection, and unsupervised change detection in satellite imagery . His work is supported by open-source implementations and reproducible research practices. Laboratories and Research Groups: Northernmost Graph Machine Learning group (co-founder) ARC Research Group, UiT Graph Machine Learning Group, Lugano

• Machine Learning
• Graph Neural Networks
• Time Series Analysis
• +۷ مورد دیگر

Professor Mohan Lal Kolhe is a distinguished academic at the University of Agder , serving as a Full Professor in Smart Grid and Renewable Energy within the Faculty of Engineering and Science and the Department of Engineering Sciences . With over three decades of international academic experience, he has held positions at prestigious institutions including University College London, University of Dundee, and Hydrogen Research Institute in Canada. His career spans technical innovation, policy development (e.g., as a member of South Australia’s Renewable Energy Board), and extensive research leadership in sustainable energy systems. Research Leadership : Focus on Smart Grid integration, Electric Vehicles, Hydrogen Energy, Solar/Wind Systems, and Techno-Economic Energy Analysis. Global Recognition : Listed in the top 2% of scientists worldwide (2020-2023) by Stanford University, with 10 publications averaging 200+ citations. Recent publications emphasize advanced optimization techniques for renewable integration, EV charging infrastructure, hydrogen production, and power system stability. His work has secured competitive funding from entities like the Norwegian Research Council and EU programs. Awards and Expert Roles : Top 2% Global Scientist (Stanford, 2020-2023) Highly Cited Researcher (Top 10 publications, 200+ avg. citations) Expert evaluator for European Commission, Royal Society London, EPSRC, and Cyprus Research Foundation He actively contributes to international conferences as keynote speaker and editorial board member, with leadership roles in research groups like Autonomous and Cyber-Physical Systems and Energy Systems .

• Smart Grid
• Renewable Energy Systems
• Electric Vehicles
• +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.

• Power Market Analysis
• Hydropower Scheduling
• Power System Balancing
• +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.

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

Hans Jonas Fossum Moen is an Associate Professor with a 20% appointment at the Department of Technology Systems, University of Oslo (UiO), and holds a 100% position as a researcher at the Norwegian Defence Research Establishment (FFI). His primary affiliation is with the Section for Autonomous Systems and Sensor Technologies. He is based at the Kjeller campus, with a visiting address at Gunnar Randers Road 19 and a postal address at Postboks 70. His research focuses on advancing autonomous systems and sensor technologies, particularly in the domains of swarm robotics, multi-agent coordination, and optimization algorithms. Key areas include UAV navigation, distributed localization in IoT networks, radar detection enhancement, and adaptive control systems for multi-functional swarms. He emphasizes the integration of biological principles into robotic systems, as evidenced by his participation in the ICRA 2018 Workshop on Swarms. His publications consistently highlight contributions to swarm intelligence, with a focus on improving data quality and efficiency in robotics applications. He has collaborated extensively with colleagues such as Kyrre Glette, Oleg Yakimenko, and Jan Dyre Bjerknes, exploring topics ranging from task allocation in multi-agent systems to evolutionary algorithms for filter optimization. His work bridges theoretical computer science with practical engineering challenges in autonomous systems. No scientific awards have been explicitly mentioned in the provided texts. Moen’s advising and grants narrative indicates no listed advisees or active grant projects, though his 20% UiO position suggests potential involvement in academic supervision. His primary research activities are embedded within FFI and the Autonomous Systems section at UiO, contributing to interdisciplinary efforts in sensor technologies and robotic systems.

• Autonomous Systems
• Sensor Technologies
• Robotics
• +۳ مورد دیگر

Rune Strandberg is an Associate Professor at the Department of Engineering Sciences, University of Agder. He holds a PhD in solar cell physics from NTNU and specializes in photovoltaic materials, solar cell physics, and energy conversion. His research focuses on advanced solar cell concepts including tandem cells, intermediate band solar cells, and thermoradiative energy harvesters. Education: Master of Technology (2005) and PhD (2010) in solar cell physics from NTNU. Pedagogical training includes Uniped courses (2014-2015) and PhD supervision qualification. Current teaching: Renewable Energy, Solar Energy Systems, Electromagnetism, Advanced Photovoltaics Prior roles: PhD student at NTNU (2005-2009), Senior Researcher at Teknova AS (2010-2013) Research areas: New photovoltaic concepts, characterization of photovoltaic cells, solar cell physics, emissive energy harvesters His recent publications analyze band gap optimization, radiative coupling in multi-junction cells, temperature sensitivity, and theoretical efficiency limits across multiple high-impact journals. Collaborators include Anne Gerd Imenes, Alfredo Sanchez Garcia, and Sissel Tind Kristensen. Key contributions include development of analytical models for solar cell performance, field testing of PV modules in Norway, and studies on temperature effects in multicrystalline silicon wafers.

• Solar Cell Physics
• Photovoltaic Materials
• Energy Conversion
• +۳ مورد دیگر

Dhayalan Velauthapillai is a Professor in Physics at the Western Norway University of Applied Sciences (Høgskolen på Vestlandet), leading the research group ANCEHA (Advanced Nanomaterials for Clean Energy and Health Applications). His work bridges computational and experimental studies of nanomaterials, with applications in renewable energy, environmental remediation, and biomedical engineering. His research spans third/fourth-generation solar cells , green hydrogen production , supercapacitors , CO2/NOx absorption materials , and tissue engineering scaffolds . Collaborations span India, Sri Lanka, South Korea, Singapore, the USA, and the UK, with active involvement in the Hyvalue hydrogen research center in Bergen. The ANCEHA group has supervised 5 PhD students at HVL, 13 at Indian institutions, 1 at the University of Peradheniya (Sri Lanka), and 9 MPhil/PhD students at the University of Jaffna (Sri Lanka). They organize international conferences and maintain partnerships with institutions like CIT (India) and JFN (Sri Lanka).

• Nanotechnology
• Physics
• Solar Energy
• +۷ مورد دیگر

Bodil Holst is a Professor at the University of Bergen's Department of Physics and Technology , specializing in surface science and scientific instrumentation development . Her research spans 2D materials , helium atom scattering , and archaeometry applications. She leads projects like Nanometer-Resolution Matter-Wave Lithography (FET-Open), 2D Material Properties (NFR FRIPRO), and Wind Turbine Erosion Prevention (Equinor). Her Nanophysics Group has produced groundbreaking work on graphene's temperature-dependent rigidity and icephobic surfaces . First neutral helium microscope images (2008) Recorded bending rigidity of 2D materials (2018-2021) Developed solid-state conversion techniques for sapphire (2017-2021) Her teaching innovations in classical mechanics explore retrieval practice and digital learning structure , documented in Physics Education and Physical Review Physics Education Research .

• Surface Science
• Scientific Instrumentation
• 2D Materials
• +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.

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

Yngve Karl Frøyen is a Professor at the Department of Architecture and Planning within the Faculty of Architecture and Design at the Norwegian University of Science and Technology (NTNU). Since 2010, he has taught and coordinated spatial and transport planning in the master's program in physical planning, while also leading GIS and geodata activities across academic programs. His research focuses on sustainable urban transport , emphasizing walking, cycling, and public transit as tools to enhance urban systems. He investigates how urban form —including land use, density, and functional mix—affects travel behavior, with specific projects on retail location transport impacts, cycling infrastructure modeling, and park-and-ride solutions in urban peripheries. Key trends in his recent publications include urban ecology , smart city geospatial analysis , and pedestrian/cycling mobility . His work integrates GIS, accessibility metrics, and land use-transportation interdependencies, reflecting collaborations with institutions like SINTEF and Asplan Viak. Doctoral training in transport economics and impact analysis 9-year research at the Norwegian Institute of Urban and Regional Research (NIBR) Consulting and project management in transport modeling, electronic ticketing, and GIS applications Contributions to Norwegian transport policy frameworks

• Sustainable urban transport
• Urban form
• Land use planning
• +۷ مورد دیگر

Mulu Bayray Kahsay is a Researcher at the Department of Electric Energy, Norwegian University of Science and Technology (NTNU). Previously, he served as an Associate Professor at Mekelle University, Ethiopia. He holds a PhD (Dr. techn.) from Vienna University of Technology, Austria. His research focuses on renewable energy technologies, including solar energy systems in Nordic climates, thermal energy storage integration, and optimizing wind farm performance. He is a core member of the Team Solar Energy Technology Network (EnergyNET), a NORHED II project advancing off-grid energy solutions for heating and cooling with thermal storage. His teaching includes courses like ELDI 1001 Renewable Energy Informatics and specialized graduate courses in Wind Energy, Solar Technologies, and Experimental Methods. Supervision activities include MSc theses on renewable energy systems for schools/farms and PhD projects addressing wind turbine aerodynamics, solar industrial heat systems, and wind farm performance analysis. Research collaborations span validation of wind climatology models in Ethiopia, biomass stove efficiency studies, and solar fryer innovations for sustainable cooking. His work bridges laboratory solutions with field applications, emphasizing cost-effective renewable energy deployment in diverse contexts.

• Renewable Energy
• Solar Energy
• Wind Energy
• +۴ مورد دیگر

Tian Li is an Adjunct Associate Professor at the Department of Energy and Process Engineering, Faculty of Engineering, Norwegian University of Science and Technology (NTNU). Based at the Varmeteknisk building on the Gløshaugen campus, Dr. Li is affiliated with the ComKin Group and has been actively involved in numerous research projects focused on biomass conversion and combustion technologies since 2011. Dr. Li's research primarily focuses on: Biomass gasification and combustion technologies Computational Fluid Dynamics (CFD) modeling of energy conversion processes Multiphase flow and reaction kinetics in thermochemical processes Turbulence modeling in combustion systems Development of simulation tools for bioenergy applications Over the past decade, Dr. Li has led or contributed to multiple significant research projects funded by the Norwegian Research Council and industrial partners, including BioCarbUp, GASPRO, GrateCFD, GAFT, BioCarb+, CenBio, and GasBio. These projects have focused on optimizing biomass conversion processes for sustainable energy production. Dr. Li's publication record shows consistent contributions to high-impact journals in the energy and combustion fields, with a strong emphasis on computational modeling approaches. The research demonstrates expertise in developing and validating models for biomass conversion processes, with applications ranging from industrial-scale biomass furnaces to fundamental particle-level phenomena. Dr. Li has developed significant expertise in various computational tools and programming languages: Software: OpenFOAM, ANSYS Fluent, ANSYS ICEM CFD, Star-CD, MFiX, CHEMKIN, LOGEsoft, LabVIEW Programming: C/C++, Python, Fortran, Matlab Through participation in major research centers like CenBio (Bioenergy Innovation Centre), Dr. Li has contributed to advancing Norway's bioenergy research capabilities and fostering collaboration between academia and industry in the sustainable energy sector.

• Biomass Gasification
• Computational Fluid Dynamics
• Combustion Engineering
• +۵ مورد دیگر

Helleik Rosenvinge Syse is a PhD researcher at the University of Stavanger , affiliated with the Faculty of Science and Technology and the Department of Energy and Petroleum Technology . His work in the Future Energy Hub group focuses on integrating the human dimension into energy use in buildings , supervised by Associate Professor Homam Nikpey and Professor Emeritus Harald Røstvik. He previously studied at the University of Strathclyde and has held roles in startups like Gwing, NablaFlow, and bitUnitor. Academic journey: MSc in Renewable Energy Systems and the Environment (University of Strathclyde) Visiting scholar: University of New South Wales's Artificial Intelligence Institute (2023/24) His research spans techno-economic analysis of renewable energy systems and interdisciplinary exploration of human-engineering interactions . Recent work includes simulation studies of MyBox Energy Lab and data accessibility frameworks for smart city energy systems , emphasizing scalable solutions for urban sustainability. Scientific recognition includes: Nominated '30 under 30 ledestjerner' (Dagens Næringsliv, 2020) Awarded 'young energy talent' (Stavanger Chamber of Commerce, 2022) As an educator, he taught sustainability courses at BI Business School and actively participates in energy transition advocacy through Stavanger Chamber of Commerce groups. His multidisciplinary approach bridges technical systems analysis with behavioral science to address energy efficiency challenges.

• Renewable Energy Systems
• Building Energy Systems
• Techno-Economic Analysis
• +۳ مورد دیگر

Tobias Kristoffer Boström serves as Professor of Renewable Energy at UiT The Arctic University of Norway within the Department of Physics and Technology. His research focuses on developing sustainable energy solutions specifically adapted to Arctic conditions, with particular expertise in integrating solar power systems with electric vehicle infrastructure. He maintains an active research program through the Arctic Center for Sustainable Energy (ARC) and contributes to the Smart Senja/RENEW project. Boström's research interests center on renewable energy systems in high-latitude environments, with major contributions to solar energy potential assessment in the Arctic, vehicle-to-grid integration, battery technologies for extreme conditions, and optimization of hybrid renewable energy systems. His work addresses the unique challenges of implementing renewable energy solutions in northern regions where conventional approaches often fail due to extreme weather, limited sunlight during winter months, and sparse population centers. Analysis of his publication record from 2015-2025 reveals a strong focus on practical applications of renewable energy technologies in challenging environments, with increasing emphasis on system integration rather than component-level research. His work demonstrates a progression from fundamental material science studies toward comprehensive energy system modeling, reflecting the maturation of renewable energy technologies from laboratory concepts to real-world implementations. Boström actively collaborates with researchers across multiple disciplines, frequently working with colleagues in electrical engineering, materials science, and environmental studies. His research has practical applications for communities across northern Norway and other Arctic regions seeking sustainable energy solutions that can withstand extreme conditions while maintaining economic viability.

• Renewable Energy
• Solar Energy Systems
• Electric Vehicle Integration
• +۵ مورد دیگر

Geir Mathisen serves as a Professor within the Department of Technical Cybernetics, Faculty of Information Technology and Electrical Engineering at the Norwegian University of Science and Technology (NTNU). He is an active member of the Group for Industrial Computer and Instrumentation Systems, focusing on real-time systems integration and cyber-physical applications across industrial and energy domains. His educational background includes a Civil Engineering degree and a Doctorate (PhD), both earned from NTNU's Department of Technical Cybernetics, establishing foundational expertise in control systems and technical cybernetics. Professor Mathisen's research spans cyber-physical systems, deterministic networking, and distributed real-time systems with significant applications in smart grids and industrial automation. His work pioneers magnetic field energy harvesting for railway systems, edge-based fault detection for photovoltaic panels, and multi-robot coordination in sewing automation. Current investigations focus on power system state estimation, optimal power flow in smart grids, and deterministic communication channels for latency-sensitive applications. Analysis of his 2020-2024 publications reveals a strategic convergence of real-time computing with energy systems, particularly in railway energy harvesting and photovoltaic monitoring. His research consistently bridges theoretical advances in networking protocols with practical industrial implementations, emphasizing determinism and composability in distributed cyber-physical environments. Scientific Awards: No specific awards or fellowships were documented in the provided materials. Professor Mathisen actively supervises doctoral and master's students, including Johannes Schrimpf (2013 PhD thesis on industrial robot control), and offers project assignments as noted for fall 2021. His research is conducted through Norwegian collaborative projects on flexible distribution grids and smart grid services, though specific grant mechanisms remain unspecified in the source material. He contributes significantly to the Group for Industrial Computer and Instrumentation Systems at NTNU, which develops advanced solutions for industrial control, measurement systems, and cyber-physical integration, particularly in energy and manufacturing contexts.

• Cyber-Physical Systems
• Real-Time Systems
• Distributed Systems
• +۴ مورد دیگر