جستجوی استاد راهنمای دانشگاهی

Maren Toftمشاهده پروفایل

استاد

• Class theory
• Theory of elites
• Social mobility
• +۸ مورد دیگر

Maren Toft is a Professor in the Department of Sociology and Human Geography at the University of Oslo's Faculty of Social Sciences. Her academic career has progressed from Research Assistant (2013-2014) to PhD Candidate (2014-2018), Postdoctoral Fellow (2018-2022), Associate Professor (2022), and now Professor. Her research focuses on: Class theory and theory of elites Social mobility and class structuration Segregation and urban inequality Social capital and networks of power Advanced quantitative methods including social sequence analysis and correspondence analysis Toft's publication record shows a consistent focus on elite formation, wealth accumulation, and class reproduction. Her work frequently employs longitudinal approaches to examine how social origins influence life trajectories, particularly among the upper classes. She has made significant contributions to understanding how class structures persist in Scandinavian welfare states, challenging assumptions about equality in these societies. Her major scientific awards include: His Majesty the King's Gold Medal for her 2018 PhD dissertation 'Biographies of privilege' Norwegian sociological association's award for best international publication in 2020/2021 Norwegian sociological association's award for best international publication in 2017 Kunnskap Oslo's award for best Oslo-related Research in 2015 Norwegian sociological association's award for research dissemination in 2018 Toft actively supervises PhD students including Iselin Hewitt (studying urban planning and gentrification), Marte Lund Saga (examining business-politics networks), and Stian Uvaag (researching sibling similarities in mobility). She serves on the board of both the Department of Sociology and Human Geography and the Norwegian Sociological Association. She is involved in several major research projects including HISTCLASS, The Oslo Register Data Classification (ORDC), The Salmon Elite (SALELITE), and Weaving the fabric of Elite Bonds (WEB), which collectively examine various dimensions of elite formation, power structures, and social inequality in Norway and internationally.

• Semantics
• Language Technology
• Recommender Systems
• +۵ مورد دیگر

Jon Atle Gulla is a Professor at NTNU and Director of the Norwegian Research Centre for AI Innovation (NorwAI). He holds academic leadership roles, including former Head of the Department of Computer Science and Informatics at NTNU. His expertise spans Semantics, Language Technology, Recommender Systems, and AI-driven innovation. He has nearly 150 international publications and advised over 100 students across MSc, PhD, and postdoctoral levels. Education: MSc in Computer Science (1988), PhD in Computer Science (1993) from Norwegian Institute of Technology (NTH) MSc in Linguistics (1995), University of Trondheim MSc in Management (Sloan fellowship, 2003), London Business School Research interests focus on Semantics and Language Technology applied to Recommender Systems, Information Retrieval, and Text Analysis. He explores AI-based innovations in digitalization and entrepreneurship, advising industry on AI adoption and commercialization. Notable projects include Big Data collaborations with DNB, RecTech for news recommendation, and Trondheim Analytica analyzing political texts/social media. Publications emphasize AI applications in news recommendation, political text analysis, and Scandinavian language models. His work addresses ethical AI, copyright implications, and cross-lingual NLP challenges. Awards: Member of the Royal Norwegian Society of Arts and Sciences. Advising/grants: Supervised 30 PhD students and 70 MSc students. Involved in startups like Fast Search & Transfer (acquired by Microsoft) and Mito.ai/Strise.ai. Active in reviewing for journals like Data & Knowledge Engineering and conferences like ACL. Labs/teams: Leads NorwAI, co-founder of INRA and NOBIDS workshops. Collaborates with industry and academia on AI-driven solutions.

Katrine Eldegardمشاهده پروفایل

استاد

• Conservation Biology
• Behavioural Ecology
• Population Ecology
• +۷ مورد دیگر

Katrine Eldegard is a Professor at the Norwegian University of Life Sciences (NMBU), Faculty of Environmental Sciences and Natural Resource Management (MINA), Department of Ecology and Natural Resource Management (INA). She leads BatLab Norway and contributes extensively to national and international conservation science policy. Institution: Norwegian University of Life Sciences School: Faculty of Environmental Sciences and Natural Resource Management Department: Department of Ecology and Natural Resource Management Position: Professor Her research centers on understanding how human activities and land use affect natural ecosystems and species across taxa and spatial scales. She specializes in the behavioral, population, and community-level responses of mammals, birds, and insects to anthropogenic pressures such as energy infrastructure, transport networks, and forestry. A major focus is on bat ecology and conservation, pollination dynamics, and biodiversity monitoring in boreal and agricultural landscapes. Her recent publications reveal strong trends in climate change impacts on bat morphology and distribution, pollinator-plant interactions under environmental change, and the ecological consequences of infrastructure development. These works integrate field ecology with advanced modeling and policy-relevant assessments. She has played leading roles in key scientific committees: Chair, Mammal Committee, Norwegian Red List for Species (2021) Chair, Mammal Committee, Norwegian Alien Species List (2023) Member, Norwegian Scientific Committee for Food and Environment (VKM), CITES Expert Panel Norway’s representative, UNEP/Eurobats Advisory Committee Eldegard has supervised numerous research projects and collaborated with government agencies and private partners on applied ecology. She teaches courses including NATF200 Vern og forvaltning av norsk natur and the upcoming NATF300 Conservation Science. Her work is supported by extensive fieldwork, interdisciplinary collaboration, and integration of ecological theory with practical conservation. She leads BatLab Norway, a research group dedicated to advancing knowledge on bat ecology, behavior, and conservation through innovative methods including telemetry, acoustic monitoring, and landscape analysis.

Staal A. Vinterboمشاهده پروفایل

استاد

• Data Privacy
• Cryptography
• Machine Learning
• +۳ مورد دیگر

Staal A. Vinterbo is a Professor at the Department of Information Security and Communication Technology within the Faculty of Information Technology and Electrical Engineering at the Norwegian University of Science and Technology (NTNU). His research focuses on privacy-preserving technologies, cryptography, and their intersections with machine learning, bioinformatics, and medical informatics. He has contributed to advancements in differential privacy, data anonymization, and secure computational methods.

• 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.

Benjamin Ricaudمشاهده پروفایل

دانشیار

• Machine Learning
• Graph Signal Processing
• Explainable AI
• +۳ مورد دیگر

Benjamin Ricaud is an Associate Professor and Group Leader in Machine Learning at UiT The Arctic University of Norway's Department of Physics and Technology. His core affiliations include membership in the Machine Learning Group, Visual Intelligence center, and co-directorship of the Digital Technology Innovation Lab focused on Arctic-region tech startups. He also co-chairs the annual Northern Light Deep Learning conference. Ricaud's research spans: Fundamental ML : Graph signal processing, explainable AI, and generative models Applications : Microfossil classification, medical diagnostics (retinal aging), drug analysis, and climate data interpretation Emerging domains : Self-supervised learning and biological data analysis using Raman spectroscopy His recent publications (2020-2025) cluster in three domains: Graph ML methodologies (35%) Biomedical/biological applications (40%) Geoscience/climate informatics (25%) with consistent focus on interpretability and real-world data challenges. Teaching includes Image Processing (FYS-2010), Pattern Recognition (FYS-3012), and Machine Learning (FYS-2021). He leads outreach initiatives developing AI exhibits for Tromsø Science Centre.

Andrea Arcuriمشاهده پروفایل

استاد

• Software Testing
• Software Engineering
• Cloud Computing
• +۶ مورد دیگر

Andrea Arcuri is a Professor at the School of Economics, Innovation and Technology within Kristiania University of Applied Sciences . His research focuses on Software Testing , Software Engineering , and Cloud Computing , with a particular emphasis on automated testing techniques for web APIs. Specialized in RESTful, GraphQL, and RPC API fuzzing Developer of the open-source EvoMaster testing tool Pioneer in integrating evolutionary algorithms and symbolic execution for test generation Active in bridging academic research with industrial software testing practices His recent publications show a strong focus on Search-Based Software Testing (SBST) , Automated Test Generation , and Industrial Adoption of Testing Technologies . He has contributed extensively to improving testability through mock generation and database handling in API testing. While no formal scientific awards are listed in the public records analyzed, his work has been consistently published in top-tier software engineering venues since 2013. The articles demonstrate increasing sophistication in fuzzing techniques, with recent extensions to handle complex dependencies like MongoDB and SQL databases.

• Wildlife Ecology
• Large Mammal Conservation
• Human-Wildlife Conflict
• +۵ مورد دیگر

Martin Mayer serves as Associate Professor at the University of Inland Norway within the Faculty of Applied Ecology, Agricultural Sciences and Biotechnology and the Department of Forestry and Outback Studies. Based at the Evenstad study location, his research focuses on large mammal ecology in human-dominated landscapes across Scandinavia and Europe. His primary research interests center on Wildlife Ecology and Large Mammal Conservation , with particular emphasis on human-wildlife conflict resolution, road ecology, and carnivore management. Mayer investigates how species like moose, deer, and beavers adapt to anthropogenic landscapes through habitat selection, movement patterns, and population dynamics. His work integrates cutting-edge methodologies including GPS telemetry, drone surveillance, and citizen science data to address conservation challenges in agricultural and urban settings. Analysis of Mayer's recent publications reveals strong trends in using roadkill data for population monitoring, examining spatial constraints on wildlife movement, and developing mitigation strategies for human-wildlife conflicts. His research increasingly incorporates cross-border European perspectives on wildlife management while maintaining a strong foundation in Scandinavian field ecology. Mayer actively contributes to the LARGE research group (ecology of large animals), which conducts field studies on ungulate behavior, predator-prey dynamics, and landscape-scale conservation planning in Norway's boreal ecosystems.

Egor Kostylevمشاهده پروفایل

دانشیار

• Foundations of AI
• Symbolic AI
• Description Logics
• +۹ مورد دیگر

Egor Kostylev serves as an Associate Professor in the Department of Informatics within the Faculty of Mathematics and Natural Sciences at the University of Oslo. His research focuses on the theoretical foundations connecting symbolic and sub-symbolic artificial intelligence, particularly examining relationships between formal logic systems and machine learning approaches. His educational background includes an MSc (Specialist, 2005) and PhD (Candidate, 2009) from Lomonosov Moscow State University under Prof. Vladimir A. Zakharov. He subsequently held research positions at the University of Edinburgh (2010-2013) and the University of Oxford (2013-2020) before joining the University of Oslo in 2020. Kostylev's research interests center on bridging symbolic AI formalisms with sub-symbolic approaches. He investigates connections between various logics (Description Logics, Temporal Logics, Datalog), query languages (SPARQL, Regular Path Queries, OTTR), and machine learning formalisms (Graph Neural Networks, Markov Logic Networks). His work addresses critical challenges in Explainable, Trustworthy, and Green AI through theoretical foundations that connect different AI paradigms. His publication record demonstrates consistent high-impact contributions in theoretical computer science and AI, with numerous publications in top venues including AAAI, LICS, Journal of the ACM, and ICLR. His recent work shows a clear trajectory toward unifying logical reasoning with neural network approaches, particularly through graph neural networks and their connections to logical formalisms. The research spans theoretical foundations of knowledge representation, temporal reasoning in knowledge bases, and the logical expressiveness of modern neural architectures. As a research leader, Kostylev supervises multiple PhD students including Shuwen (Aurora) Liu, Maximilian Pflüger, Roxana Pop, Dongzhuoran Zhou, and Erik Snilsberg. He serves as a Research Theme Leader for the Integreat SFF: Norwegian Centre for Knowledge-driven Machine Learning. His teaching responsibilities include IN3020/4020 Database Systems courses. He leads the Data and Knowledge Management (DKM) research group at the University of Oslo, which focuses on foundational aspects of knowledge representation, database theory, and the intersection with modern machine learning techniques. The group actively collaborates with international researchers and contributes to advancing theoretical understanding of how symbolic and neural approaches to AI can complement each other.

• Music Technology
• Music Psychology
• Embodied Music Cognition
• +۵ مورد دیگر

Alexander Refsum Jensenius is a Professor of Music Technology and Director of the RITMO Centre for Interdisciplinary Studies in Rhythm, Time and Motion at the University of Oslo. He also leads the fourMs Lab and co-founded the MishMash Centre for AI and Creativity. His work bridges musicology, psychology, and technology, focusing on embodied music cognition, human motion analysis, and creative applications of AI. Notably, he pioneered research on air guitar motion and human micromotion through projects like the Oslo Standstill Database . Educated at the University of Oslo (BA in Music and Mathematics, MA in Musicology) and Chalmers University of Technology (MSc in Applied IT), Jensenius holds a PhD in Music Technology from UiO. He has held visiting researcher roles at UC Berkeley, McGill University, and KTH. Leadership roles include Department of Musicology Head (2013–2016) and Steering Committee Chair for the International Conference on New Interfaces for Musical Expression (NIME, 2011–2022). Research interests span music-related body motion, AI in creative contexts, and open research practices. Key contributions include the Music Moves and Motion Capture MOOCs, the Musical Gestures Toolbox software, and monographs like Sound Actions and Sonic Design . His work emphasizes interdisciplinary collaboration, with projects addressing ventilation systems' acoustic properties and cell culture vibrational effects. Awards include the European Open Data Champion recognition. He advocates for open science and maintains extensive digital archives of research materials, emphasizing institutional web pages as critical research infrastructure.

• Foodomics
• Metabolomics
• Bioactive Compounds
• +۳ مورد دیگر

Alejandro Cifuentes serves as a Full Research Professor at the Spanish National Research Council (CSIC) in Madrid, where he leads the Laboratory of Foodomics and directs the Metabolomics Platform under the International Excellence Campus CSIC + University Autonoma of Madrid. His prior roles include Founding Director of the Institute of Food Science Research and Deputy Director of the Institute. His research centers on foodomics and metabolomics, with emphasis on advanced extraction technologies for bioactive compounds from diverse sources including plants, dairy, and microalgae. Key interests encompass sustainable processing methods, neuroprotective agents, antioxidant properties, and the valorization of agricultural by-products for health applications. Analysis of his recent publications reveals a dominant focus on green extraction techniques—particularly supercritical CO₂ and pressurized systems—combined with mass spectrometry for bioactive compound analysis. His work bridges food science, analytical chemistry, and biotechnology to address challenges in food safety, nutrition, and sustainable resource utilization. Dr. Cifuentes directs the Laboratory of Foodomics and Metabolomics Platform, leading interdisciplinary teams in projects spanning microalgal protein characterization, dairy microbiota studies, and neuroprotective compound transport mechanisms, with strong industry and academic collaborations across Europe.

Jennifer Widomمشاهده پروفایل

استاد

• Computer Science
• Database Systems
• Data Management
• +۲ مورد دیگر

Jennifer Widom serves as the Dean of the School of Engineering and holds a Professorship in Computer Science at Stanford University, actively contributing to academic leadership and educational initiatives as evidenced by her recent 4.5-day lecture and workshop series. Her research expertise centers on Computer Science with specialized focus in Database Systems, Data Management, and Information Systems, reflecting foundational contributions to data-intensive computing methodologies and systems design within the engineering discipline.

• Cognitive Science
• Psycholinguistics
• Multilingualism
• +۴ مورد دیگر

Jon Andoni Duñabeitia is a Full Professor at the School of Languages and Education of Universidad Nebrija in Madrid. He serves as Director of the Centro de Investigación Nebrija en Cognición (CINC) and the International Chair in Cognitive Health . With an h-index of 43 (Scopus), he has published 170+ articles across psycholinguistics, multilingualism, cognitive training, and virtual reality applications in education. His research examines how language processing interacts with cognitive load, emotional modulation, and technological innovation. Principal Investigator for 8+ projects funded by Spanish Government, Basque Government, BBVA Foundation Associate Editor and Editorial Board Member of high-impact journals Recognized among Spain's top 3% scientists across all disciplines Recent publications span topics including: Second-language reading dynamics in VR environments Multilingual cognitive interactions in neurological conditions Emoji/typographic effects on word processing Computerized cognitive assessment and training systems He actively contributes to scientific meetings as invited speaker across Europe, Asia, and Americas. His work bridges basic research in psycholinguistics with applied technologies for cognitive health.

• Sustainability Science
• Industrial Ecology
• Environmental Economics
• +۷ مورد دیگر

Richard Wood is an Adjunct Professor at the Industrial Ecology Programme, Department of Energy and Process Engineering, Norwegian University of Science and Technology (NTNU), and a part-time Professor at the School of Environment, University of Newcastle, Australia. He leads research consultancy XIO-SA, focusing on environmental-economic analysis for public good. His expertise includes sustainability science, systems approaches, and quantitative modeling techniques like carbon footprinting, life-cycle assessment, and input-output analysis. **Research Interests**: Globalization and environmental impacts of trade Sustainable consumption and production Circular economy and material efficiency Environmental footprints and policy design EXIOBASE multi-regional input-output modeling **Awards**: Recognized as a Web of Science Highly Cited Researcher (2019–2022), and Co-Editor in Chief of the Journal of Industrial Ecology. His work has produced over 100 publications, including foundational contributions to EXIOBASE, a global environmental input-output database. **Grants & Labs**: Key developer of EXIOBASE, widely used for environmental footprint quantification. Advises on methodologies for consumption-based carbon accounting and sustainable investment strategies. Active in global policy initiatives addressing climate change and biodiversity loss.

Håvard Kauserudمشاهده پروفایل

استاد

• Molecular ecology
• Evolutionary biology
• Fungal genetics
• +۵ مورد دیگر

Håvard Kauserud is a Professor at the Department of Genetics and Evolutionary Biology, University of Oslo. His research spans molecular ecology, evolutionary biology, and fungal genetics with a focus on mycorrhizal and endophytic fungi, climate change impacts, and habitat fragmentation effects. Section of Genetics and Evolutionary Biology Teaches advanced courses in fungal evolution and bioinformatics Research projects include: Molecular ecology of mycorrhizal fungi Speciation mechanisms in forest fungi Climate change effects on mushroom phenology Comparative genomics of Serpulaceae Endophytic fungi in boreal mosses Recent work explores fungal community dynamics across boreal forests, indoor mycobiomes, and genome expansion patterns in Mycena . Collaborative studies investigate arthropod dispersal of fungal spores, climate adaptation signatures, and trait-based fungal ecology databases.