جست‌وجوی استاد و پژوهشگر

Finn Uphamمشاهده پروفایل

پژوهشگر

• Music Cognition
• Biosensors
• Data Science
• +۳ مورد دیگر

Finn Upham is a Researcher at the RITMO Centre for Interdisciplinary Studies in Rhythm, Time and Motion (IMV) at the University of Oslo. Their work focuses on the temporal interplay between music signals and human physiological systems, particularly audience behavior and respiratory synchronization. Upham holds a PhD in Music Technology from New York University (dissertation on respiratory phase alignment to music), along with Master’s degrees in Music Technology and a dual Bachelor’s in Music Theory and Mathematics from McGill University. Research interests include music cognition, biosensor applications in performance studies, and data science methodologies for analyzing live audience interactions. Their recent projects investigate silence-induced audience stillness, social media fan dynamics during live streams, and sensor technologies for human motion capture. Upham contributes to interdisciplinary collaborations like the MusicLab Copenhagen Dataset and has developed tools like the Respy library for respiration phase analysis. Key publications (2023–2025) explore audience behavior in both physical and virtual concert spaces, sensor comparison for motion tracking, and empirical evaluations of musical silence effects. They are affiliated with research groups such as fourMs Lab and lead initiatives like the So Strangely Podcast on Music Science and the Solo Response Project.

Baltasar Enrique Beferull Lozanoمشاهده پروفایل

استاد

• Data Science
• Machine Learning
• Signal Processing
• +۳ مورد دیگر

Baltasar Enrique Beferull Lozano is a tenured Professor at the University of Agder , leading the Center Intelligent Signal Processing and Wireless Networks (WISENET) since 2015. With a PhD in Electrical Engineering from USC (2002) and prior roles at EPFL, AT&T Shannon Labs, and University of Valencia, his career spans 20+ years of academic and industrial research in signal processing, wireless systems, and AI. Education: PhD (USC), MSc (USC), MSc (University of Valencia) Expertise: Data Science, Machine Learning, Graph Signal Processing, Cyber-Physical Systems His research focuses on AI-driven wireless networks and in-network collective intelligence , addressing fundamental and applied challenges in smart water systems , energy management , and next-gen 5G/6G . He has secured 20+ international projects including 10 EU-funded initiatives (HYDROBIONETS, SENDORA) and 5 RCN-funded projects. Recent publications emphasize dynamic graph learning from time series data, quantized graph filters , and multi-agent reinforcement learning for networked environments. Awards include IEEE Best Paper Awards (2012, 2021), TOPPFORSK Grant (2015), and Ramón y Cajal Program Rank #1 (2005). As a Senior IEEE Member , he serves as Area Editor for IEEE Transactions on Signal Processing and evaluates research proposals for the European Commission , NSF , and Qatar National Research Fund . His lab has produced 15 PhD graduates and collaborates with 12+ industry partners including Telenor, IBM, and SINTEF.

Ingvild Schiøll Ericsonمشاهده پروفایل

مدرس

• Privacy Law
• Consumer Law
• Contract Law
• +۱ مورد دیگر

Ingvild Schiøll Ericson serves as a Lecturer in the Department of Law and Governance at BI Norwegian Business School and is a PhD candidate in Private Law at the University of Oslo. Her doctoral research critically examines commercial exploitation of children's personal data by tech giants like Google and Meta through digital services, focusing on regulatory gaps and corporate accountability in online environments. She previously held the position of Associate Dean for the bachelor's program in business law and economics at BI from 2016 to 2021. Her educational qualifications include: Master of European Business Law, Aix-Marseille University (2003) Master of Laws (cand.jur.), University of Oslo (2002) Undergraduate Law Degree, University of Oslo (1997) Intermediate Studies in Psychology Ericson's research centers on privacy law, consumer rights, contract law, and legal methodology, with particular emphasis on children's digital rights. Her work analyzes how commercial entities circumvent consent mechanisms for minors and advocates for structural reforms to data protection frameworks. She integrates psychological insights into legal analysis regarding children's comprehension of digital consent. Recent publications reveal a consistent focus on children's vulnerability in digital ecosystems, examining streaming platforms, social media, and online gaming through privacy law lenses. Her scholarship identifies critical failures in current legislation to address mass data harvesting of minors and proposes collective enforcement mechanisms as remedies. No scientific awards or fellowships are documented in the provided materials. Ericson actively supervises master's students at the University of Oslo and UiT The Arctic University of Norway. While specific grant details are absent, her doctoral research at UiO operates within institutional frameworks for legal scholarship, potentially involving policy-focused funding streams related to children's digital rights.

• Computer Science
• Technology
• Artificial Intelligence
• +۸ مورد دیگر

Ståle Andreas Skogstad is a Research Fellow at the University of Oslo , affiliated with the Department of Informatics under the Faculty of Mathematics and Natural Sciences . His research focuses on real-time digital filter design , motion capture technologies , and human-computer interaction in musical contexts.

• Meta-ecosystem analysis
• Nutrient cycling across ecosystem boundaries
• Biodiversity and ecosystem function
• +۷ مورد دیگر

André Frainer is an Associate Professor in Freshwater and Terrestrial Ecology at the Department of Arctic and Marine Biology, UiT The Arctic University of Norway. His research focuses on cross-ecosystem interactions, particularly between freshwater and terrestrial systems, and how human-induced disturbances impact biodiversity-ecosystem functioning relationships. He contributes to teaching in Arctic inland waters and global change courses. UiT The Arctic University of Norway: Associate Professor in Freshwater and Terrestrial Ecology Research Interests: Meta-ecosystem analysis, nutrient cycling across ecosystem boundaries, climate change impacts on biodiversity, invasive species dynamics, and ecological network analysis Frainer's scientific contributions include groundbreaking work on decomposition processes in riverine ecosystems, climate-driven reorganization of Arctic marine communities, and integration of sociocultural values into biodiversity assessments. His research demonstrates how species traits and functional diversity influence ecosystem services across multiple environments. Scientific contributions have been recognized through shortlisting for the prestigious Southwood Prize (British Ecological Society, 2019). He has published extensively in top journals including Global Change Biology, Science, and PNAS, with notable work on: Climate feedback mechanisms through microbial decomposition Functional biogeography of Arctic marine fish Impacts of anthropogenic activities on decomposition rates Meta-ecosystem dynamics across freshwater-terrestrial-marine boundaries Parasitism in biodiversity-ecosystem functioning relationships Equity improvements in scientific peer review Frainer actively participates in Arctic research networks and the Fram Centre's AMINOR research school, contributing to ecosystem assessments and climate risk analyses in the High North.

• Maritime Safety
• Deep Learning
• Anomaly Detection
• +۳ مورد دیگر

Dogan Altan serves as a Postdoctoral Fellow at Simula Research Laboratory within the Department of Validation Intelligence for Autonomous Software Systems. His research focuses on developing artificial intelligence solutions for maritime safety and operational efficiency, leveraging advanced machine learning techniques to address complex vessel navigation and performance challenges. His primary research interests include maritime anomaly detection, vessel traffic prediction, and physics-informed neural modeling for shaft power optimization. Altan specializes in integrating sensor data, passage plans, and environmental features into deep learning frameworks to enhance predictive accuracy in maritime contexts. Key methodologies involve transfer learning, trajectory segmentation, and multi-stream anomaly identification systems applicable to both vessel operations and robotic manipulation. Analysis of his publication trends reveals a consistent focus on transforming maritime domain knowledge into robust AI frameworks. Recent work demonstrates innovation in temporal graph analysis for port classification, transformer-based waypoint detection, and physics-guided hybrid models that bridge engineering principles with neural network architectures. His contributions span theoretical algorithm development and practical implementations validated through real-world maritime datasets.

• Signal Processing
• Machine Learning
• Statistical Signal Processing
• +۳ مورد دیگر

Emilio Ruiz Moreno is a Postdoctoral Fellow at Simula Metropolitan's Department of Signal and Information Processing for Intelligent Systems. His work focuses on signal processing, machine learning, and real-time data analysis. Current Affiliation: Simula Metropolitan Center, Oslo, Norway Academic Role: Research Fellow (Signal Processing & Machine Learning) Research Interests: Emilio specializes in trajectory prediction, kernel regression, and zero-delay signal reconstruction. His work addresses challenges in motion-capture sensor data analysis, quantized signal tracking, and multivariate time-series processing for intelligent systems. Key applications include human-computer interaction and biomedical signal modeling. Publications (2021-2025): His research spans statistical signal processing (vector autoregressive models, kriging), adaptive kernel regression, and parallelizable learning frameworks. Technical reports and journal papers emphasize real-time performance and mathematical rigor. Laboratory Affiliation: Works within Simula Metropolitan's Signal and Information Processing for Intelligent Systems department, collaborating on interdisciplinary projects involving artificial intelligence and sensor technology.

Tone Jøran Oredalenمشاهده پروفایل

دانشیار

• Freshwater Ecology
• Limnology
• Environmental DNA
• +۵ مورد دیگر

Tone Jøran Oredalen serves as an Associate Professor at the University of South-Eastern Norway (USN), specifically within the Institute for Nature, Health and the Environment at the Faculty of Technology, Natural Sciences and Maritime Studies on Campus Bø. With a PhD in Ecology focusing on climate-related PKD disease in salmonids, he brings extensive expertise in freshwater systems to his academic role. His research interests center on freshwater ecology, particularly the climate-related PKD parasite ( Tetracapsuloides bryosalmonae ) that threatens salmonid populations. He has pioneered environmental DNA techniques for parasite detection and conducted decades-long monitoring of Norwegian lakes including Gjersjøen and Kolbotnvannet. His work bridges fundamental ecological research with practical environmental management applications, addressing critical issues like eutrophication, water quality assessment, and climate change impacts on freshwater ecosystems. Dr. Oredalen's publication record demonstrates consistent scholarly output with significant contributions in 2021-2022 focused on PKD disease patterns and detection methods. His research shows a clear progression from traditional limnological monitoring toward innovative molecular techniques while maintaining focus on practical freshwater management solutions. The interdisciplinary nature of his work connects ecology, climate science, and environmental management. His professional background includes extensive experience in: Long-term freshwater ecosystem monitoring Development and evaluation of lake restoration measures International environmental research collaborations Integration of sustainability goals into environmental management Teaching freshwater ecology and environmental science Dr. Oredalen actively contributes to both scientific advancement and practical environmental management, with his recent work providing critical insights into how climate change affects freshwater disease dynamics and ecosystem health. His role as a community contact at USN demonstrates his commitment to connecting academic research with practical environmental challenges.

Lars Huemerمشاهده پروفایل

استاد

• Interorganisational Relations
• International Management
• Trust and Identity
• +۵ مورد دیگر

Lars Huemer is a Professor at BI Norwegian Business School in the Department of Strategy and Entrepreneurship, where he has been employed since 1999. He previously served as Associate Professor (2000–2009) and Head of Department (2002–2003). His international affiliations include visiting scholar positions at Universidad Adolfo Ibáñez, Chile (2004–2006) and the University of Technology, Sydney (1995). He holds a Ph.D. from Umeå University (1998). His research explores interorganisational relations, international management, trust, and identity, with a focus on multinational corporations and indigenous groups. Additional interests include strategic management, supply chain dynamics, and business-driven socio-economic development. His teaching covers strategic management and supply management. Huemer’s publications demonstrate evolving emphasis on sustainability and resource interaction frameworks, particularly circular economy adaptations (2025), value co-creation in B2B networks (2022), and strategic resource bundling (2021). Earlier work analyzed logistics provider strategies, network cognition, and CSR in aquaculture.