جست‌وجوی استاد و پژوهشگر

• Solar Physics
• Astrophysics
• Radiative Transfer
• +۴ مورد دیگر

Associate Professor Tiago M. D. Pereira is affiliated with the Rosseland Centre for Solar Physics at the Institute of Theoretical Astrophysics, University of Oslo, where he conducts interdisciplinary research bridging computational simulations, observational solar physics, and advanced data analysis to decode stellar phenomena through spectral radiation. Dr. Pereira's educational background includes: PhD from Australian National University (ANU) in 2009, specializing in 3D radiative transfer and spectral line formation in solar simulations. His research pioneers the integration of magnetised plasma simulations with multi-dimensional radiative transfer models and spectral imaging observations of the solar atmosphere. He develops high-performance algorithms for efficient radiative transfer computation and visualization of massive datasets, enabling precise interpretation of solar observations to unravel stellar dynamics. This work addresses the computationally intensive challenge of spectral line formation while advancing methodologies for next-generation solar missions. His scientific recognitions include: NASA Postdoctoral Fellowship Dr. Pereira actively supervises computational projects, including applying deep learning to solar observation interpretation, and has contributed to NASA's IRIS mission as an early science team member. His collaborative work synthesizes data from multiple space and ground-based observatories to study solar atmospheric dynamics, though specific grant details are not documented in the source text. He operates within the Rosseland Centre for Solar Physics framework at the University of Oslo, currently developing a dedicated research group focused on solar physics and computational astrophysics methodologies.

Ziaul Haque Munimمشاهده پروفایل

استاد

• Maritime Logistics
• Autonomous Shipping
• Supply Chain Management
• +۵ مورد دیگر

Professor Ziaul Haque Munim serves as a full-time faculty member at the University of South-Eastern Norway (USN), holding the position of Professor in the Institute of Maritime Operations within the Faculty of Technology, Natural Sciences and Maritime Affairs at the Vestfold campus. His academic responsibilities include teaching Supply Chain Management, Logistics, and Maritime Economics courses while conducting research at the intersection of maritime operations and advanced analytics. His educational qualifications feature: PhD in Maritime Logistics, University of Agder, Norway (2015-2018) MSc in Supply Chain Management, Vienna University of Economics and Business (2013-2015) MEng in Autonomous Maritime Operations, Novia University of Applied Sciences, Finland (2023-2025) BBA in Finance, Eastern University, Bangladesh (2007-2011) Professor Munim's research focuses on transformative maritime technologies including autonomous shipping systems and AI-driven risk assessment, alongside sustainability initiatives in green port management. His methodological expertise spans Structural Equation Modeling and machine learning applications for optimizing supply chain resilience in global shipping networks. Current work emphasizes accident risk modeling for autonomous maritime operations using artificial intelligence frameworks. His research excellence is recognized through: Palgrave Macmillan Best Paper Award (IAME 2016) KLU Young Researcher Best Paper Award (IAME 2018) As an educator, Professor Munim actively supervises student research and contributes to curriculum development in maritime logistics. His recent consultancy engagement with Transport Canada demonstrates the practical impact of his academic work on national transportation policy. Ongoing projects focus on integrating machine learning techniques with maritime economic modeling to address industry challenges in port competitiveness and sustainable shipping operations.

• High-Energy Nuclear Physics
• Particle Physics
• Quantum Chromodynamics
• +۵ مورد دیگر

Konrad Tywoniuk is Professor and Group Leader of the Theoretical Physics Group at the University of Bergen's Department of Physics and Technology. His research bridges high-energy nuclear physics and particle physics, focusing on quantum chromodynamics (QCD) jet interactions in quark-gluon plasma, non-equilibrium dynamics of strongly coupled systems, and machine learning applications in physics. He leads the 'Thermalizing jets' project funded by the Trond Mohn Foundation and contributes to the ALICE collaboration at CERN. His research explores: Jet quenching mechanisms in heavy-ion collisions Medium-induced parton energy loss QCD matter under extreme conditions Deep learning approaches for jet tomography Non-equilibrium properties of quantum systems Recent publications demonstrate a strong focus on jet-medium interactions, with 2023-2025 work advancing theoretical frameworks for medium-induced radiation and applying machine learning to collision data. His 15 most recent articles show consistent investigation into jet suppression, azimuthal anisotropy, and precision QCD calculations. Honors include the 2018 TMS Starting Grant that established his research group. His lab leads theoretical investigations into QCD dynamics while collaborating with experimental groups at RHIC and LHC facilities. Teaching responsibilities encompass statistical physics, general relativity, and relativistic heavy-ion physics courses. He maintains active international collaborations through the ALICE experiment and joint theoretical initiatives.

• Computational Chemistry
• Catalyst Design
• Olefin Metathesis
• +۶ مورد دیگر

Vidar Remi Jensen is a Professor in the Department of Chemistry at the University of Bergen (UiB), where he leads research at the intersection of computational chemistry and catalyst design. His work focuses on developing theoretical frameworks to understand and predict catalyst behavior, with particular emphasis on olefin metathesis reactions. Professor Jensen's research interests center on computational approaches to catalyst design, with major contributions in Z- and E-selective olefin metathesis, automated de novo design of organometallic complexes, and computational-experimental integration for catalyst development. His group applies advanced quantum chemical methods, particularly Density Functional Theory (DFT), to elucidate reaction mechanisms, predict catalyst performance, and develop design principles for improved catalytic systems. Recent work has increasingly focused on automated design frameworks that can generate and evaluate potential catalyst structures based on computational predictions. Analysis of his publication record from 2021-2025 reveals a strong focus on stereoselective metathesis, computational catalyst design, and biomass conversion applications. His work demonstrates consistent integration of computational predictions with experimental validation, often through international collaborations. A notable trend is the development of automated frameworks for catalyst design that move beyond traditional trial-and-error approaches. Professor Jensen's research program benefits from sustained funding that supports both computational infrastructure and collaborative experimental work. His group maintains active collaborations with experimental chemistry groups worldwide, creating a productive feedback loop between computational prediction and experimental validation. This approach has yielded significant insights into catalyst decomposition pathways, structure-activity relationships, and design principles for improved catalytic performance. The research environment led by Professor Jensen provides students and researchers with opportunities to work at the cutting edge of computational catalyst design, developing skills that bridge theoretical chemistry and practical applications in sustainable chemistry and pharmaceutical synthesis.

• Reproductive Biotechnology
• Antimicrobial Resistance
• Pathogen Diagnostics
• +۴ مورد دیگر

Dr. Abdolrahman Khezri is an Associate Professor at the University of Inland Norway , affiliated with the Faculty of Applied Ecology, Agricultural Sciences and Biotechnology and the Department of Biotechnology . His research focuses on reproductive biotechnology, antimicrobial resistance, and pathogen diagnostics in livestock and aquatic species. Key research areas include: DNA methylation and epigenetic markers in fertility regulation Development of rapid diagnostic tools (e.g., SERS nanowire chips, whole genome sequencing) Investigating antimicrobial resistance mechanisms in bacterial infections Cryopreservation and cold-storage impacts on sperm quality Recent publications highlight interdisciplinary work merging biotechnology with machine learning and advanced microscopy techniques for infection detection. No awards or student advisement details are currently available.

• Soil Biology
• Crop Productivity
• Sustainable Agriculture
• +۴ مورد دیگر

Hesam Mousavi is an Associate Professor in Soil Biology and Crop Productivity at the University of Inland Norway , affiliated with the Faculty of Applied Ecology, Agricultural Sciences and Biotechnology and the Department of Agricultural Sciences . His research focuses on sustainable plant production and soil management, particularly under environmental stress conditions like drought, salinity, and pathogenic factors. Key research areas include: Soil-plant interactions Nutrient turnover and uptake Crop stress tolerance mechanisms Climate change adaptation strategies Organic fertilizer dynamics Recent publications demonstrate a strong trend in: Applying machine learning for wheat yield prediction Evaluating plasma-treated agricultural inputs Developing climate-resilient crop systems Investigating soil fauna responses to novel fertilizers Advancing salt-tolerant wheat breeding Scientific contributions include Norway's representation in COST Action CA22144 - Sustainable use of salt-affected lands (SUSTAIN) , and participation in multidisciplinary agricultural research projects like MUSA - Mushrooms for Sustainable Agriculture .

Espen Andersenمشاهده پروفایل

دانشیار

• Technology Strategy
• Digitalization
• Business Innovation
• +۵ مورد دیگر

Espen Andersen is an Associate Professor at BI Norwegian Business School's Department of Strategy and Entrepreneurship and holds an adjunct position at the University of Oslo's Department of Computer Science. With a D.B.A. from Harvard Business School and M.Sc. from BI Norwegian Business School, he maintains a research focus on technology strategy, digital transformation, and innovation management. His research explores: Data-driven organizational decision-making Disruptive impacts of digital technologies Machine learning in business strategy Innovation processes in technology firms Knowledge management systems Publication trends show consistent focus on digital transformation challenges, with recent work examining AI's organizational impact and strategies for technological adaptation. His articles frequently employ business case methodologies across multiple industries. Awards and recognition: Excellent Teaching Practitioner (2023) Andersen actively contributes to executive education through Comunità networks, consults internationally on technology strategy, and maintains academic blogs in both English (Applied Abstractions) and Norwegian (Tversover).

Axel Müllerمشاهده پروفایل

استاد

• Mineralogy
• Petrology
• Granite and Pegmatite Research
• +۵ مورد دیگر

Professor Axel Müller serves as Research Group Leader for the Norwegian Center for Mineralogy (NORMIN) at the Natural History Museum, University of Oslo. His academic career spans industry, government geological surveys, and academia, with current focus on mineralogy and petrology of granites and pegmatites. Müller maintains dual affiliations as External Researcher at the Natural History Museum of London since 2012. Professor of Mineralogy, University of Oslo (2015-present) Research Group Leader, NORMIN External Researcher, Natural History Museum London (2012-present) Associate Editor, Journal of Geochemical Exploration Scientific Associate, Natural History Museum London Professor Müller's research centers on genetic mineralogy, particularly quartz chemistry in pegmatite systems, with applications for solar cells and microchip production. His work bridges fundamental mineral science and industrial applications, focusing on rare-metal (Li, Sn, W, Nb, Ta, REE) and industrial mineral deposits. Current projects emphasize exploration for critical raw materials essential to the energy transition. His publication record demonstrates consistent output in top geoscience journals, with recent work (2023-2025) focusing on pegmatite exploration techniques, quartz chemistry, and machine learning applications in mineral deposit identification. Müller leads the significant EU-funded GREENPEG project developing tools for locating buried pegmatite deposits containing lithium and high-purity quartz. Society of Economic Geologists (SEG) Society for Geology Applied to Mineral Deposits (SGA) Mineralogical Society of UK and Ireland Leibniz-Sozietät der Wissenschaften zu Berlin Professor Müller actively supervises graduate students through the University of Oslo, with research opportunities connected to NORMIN's analytical facilities and international collaborations. His GREENPEG project provides substantial funding for PhD and postdoctoral positions focused on critical raw materials exploration. The research group maintains strong industry partnerships with mineral exploration companies and geological surveys across Europe. NORMIN serves as Norway's national hub for mineralogical research, housing advanced analytical equipment and the Mars Sample Return Analogue Sample Library (MSR ASL). Müller's group conducts fieldwork across Norwegian pegmatite provinces and European lithium deposits, with recent work in Austria's Wolfsberg deposit and Norway's Tysfjord region.

Olav Skarpaasمشاهده پروفایل

استاد

• Ecology
• Biodiversity
• Population biology
• +۳ مورد دیگر

Olav Skarpaas is a Professor at the Natural History Museum, University of Oslo, where he leads the Geo-ecological research group (GEco) since 2019. With a Dr. scient. from the University of Oslo in 2003, his career includes postdoctoral work at Penn State University and CEES, UiO, followed by research positions at the Norwegian Institute for Nature Research (NINA) before joining UiO as Professor in 2017. Professor Skarpaas' research focuses on ecological processes controlling biodiversity distribution and dynamics, with particular expertise in spatial modeling, climatic ecology, and experimental approaches to understanding species-environment relationships. His work spans theoretical ecology and applied conservation, addressing pressing issues like climate change impacts, land use effects, and invasive species management. His extensive publication record shows a consistent focus on biodiversity assessment methods, species distribution modeling, and ecosystem dynamics. Recent work increasingly incorporates machine learning techniques and addresses climate-biodiversity interactions at multiple scales, from local vegetation studies to global climate threshold analyses. Professor Skarpaas actively contributes to environmental policy through projects like the Nature Index for Norway and scientific opinions for the Norwegian Scientific Committee for Food and Environment. His collaborative approach is evident in numerous national and international research projects including SeedClim, INCLINE, LATICE, and NiN. As an educator, he teaches specialized courses in distribution modeling, Norwegian natural variation, botanical diversity, and ecological climatology, training the next generation of ecologists in both theoretical frameworks and practical analytical skills. The Geo-ecological Research Group under his leadership serves as a hub for innovative ecological research that bridges theoretical understanding with practical conservation applications, making significant contributions to both scientific knowledge and environmental management in Norway and beyond.