جست‌وجوی استاد و پژوهشگر

• Power System Operation
• Smart Grids
• Digital Power System Protection
• +۵ مورد دیگر

Irina Oleinikova is a Professor at the Norwegian University of Science and Technology (NTNU) in the Department of Electric Energy, Faculty of Information Technology and Electrical Engineering. She leads the Power System Operation and Analysis research group and serves as the NTNU Smart Grid Team Leader. She is a steering committee member of the European Energy Research Alliance (EERA) Joint Programme on Smart Grids and an expert in the International Smart Grid Action Network (ISGAN) WG6. Research Interests : Power System Operation, Digital Power System Protection and Control, Grid Resilience, Energy Flexibility, Cybersecurity in Power Systems, and Hydrogen Technology Integration. Her work focuses on advancing smart grids, grid flexibility, and cybersecurity through projects like FME CINELDI, HONOR, ASAP, and ZeroKyst. Key Projects : CINELDI : Developing intelligent electricity distribution grids. HONOR : Cross-sectoral energy flexibility markets. ASAP : Next-generation system protection schemes. ZeroKyst : Hydrogen and charging infrastructure along Norway’s coast. COSPAT : Stability of AC/DC transmission grids via co-simulation. Advising & Grants : Supervises PhD students in digital protection and cybersecurity. Active in projects funded by RCN, STATNETT, and EU Horizon 2020. Leads the Power System Operation and Analysis group and collaborates with SINTEF and industry partners. Labs/Teams : NTNU Smart Grid Team and the Power System Operation research group.

Ali Ramezani-Kebryaمشاهده پروفایل

دانشیار

• Machine Learning
• Deep Learning
• Federated Learning
• +۹ مورد دیگر

Ali Ramezani-Kebrya is an Associate Professor with tenure in the Department of Informatics at the University of Oslo (UiO), where he leads research in machine learning theory. He holds dual Principal Investigator roles at the Norwegian Center for Knowledge-driven Machine Learning (Integreat) and SFI Visual Intelligence, and is an active member of the European Laboratory for Learning and Intelligent Systems (ELLIS) Society. His service includes Area Chair positions for NeurIPS and AISTATS, and Action Editor for Transactions on Machine Learning Research. His research focuses on theoretical foundations of deep learning with emphasis on understanding input data distribution encoding in neural network layers. Key themes include minimizing statistical risk under resource constraints, addressing distribution shifts in distributed settings, and developing practical tools for robust federated learning. Current applications span emotion recognition, marine data analysis, and neuroscience, reflecting his commitment to real-world machine learning challenges as evidenced by his FRIPRO-funded Machine Learning in Real World (MLReal) project. Recent publication trends reveal three dominant threads: (1) label/covariate shift mitigation in distributed systems through entropy regularization and density ratio estimation; (2) communication-efficient optimization via layer-wise quantization and adaptive compression techniques achieving 150% speedups; and (3) robustness guarantees against tailored attacks and distribution shifts. These works consistently bridge theoretical bounds with empirical validation across domains from GAN training to federated settings. Scientific recognition includes: FRIPRO Grant for Early Career Scientists (2025) for MLReal project SFI Visual Intelligence Spotlight Publication award (2023) for federated learning work He actively mentors 11 graduate students across Oslo and Tromsø universities, with recent PhD placements at Apple and NVIDIA. Current grant portfolio features the FRIPRO Early Career award and leadership roles in two major Norwegian research centers. His lab maintains strong industry collaborations through Vector Institute and EPFL, with recent hiring for PhD and postdoc positions in physics-informed machine learning.

Amanda D. Lotzمشاهده پروفایل

استاد

• Media Industries
• Internet Distribution
• Television Studies
• +۴ مورد دیگر

Amanda D. Lotz is a Professor in the Digital Media Research Centre at Queensland University of Technology (QUT), leading the Transforming Media Industries and Cultures research program. Her work focuses on media industries, internet distribution, and the evolving role of television in society. She holds fellowships from the International Communication Association and the Queensland Academy of Arts and Sciences. Her research examines global streaming services, media policy, and the business strategies shaping contemporary media landscapes. Dr. Lotz earned a Ph.D. in Radio-Television-Film from the University of Texas at Austin, with prior academic roles at Washington University in St. Louis, Denison University, and the University of Michigan (2004–2018). Her expertise spans books like The Television Will Be Revolutionized and Media Disrupted , exploring streaming’s impact on traditional media. She advises on policy, consults for media organizations, and hosts the Media Business Matters podcast. Her research highlights the fragmentation of television audiences, the rise of subscriber-funded platforms, and challenges to cultural policy. Key projects include analyzing Australian TV drama production and the global implications of internet distribution. Her recent work addresses generative AI and metaverse media, emphasizing the transformative role of funding models (advertiser, consumer, government) in media priorities. Awardees include the Mellon Post-Doctoral Fellowship and recognition for her teaching. She actively contributes to global media discourse via interviews with major outlets (BBC, NPR, CNN) and serves as a resource for industry workshops on adapting to digital disruption.

• High Voltage Apparatus
• Electric Ageing Mechanisms
• High Voltage Electric Machines
• +۱۲ مورد دیگر

Pål Stabel Keim is an Associate Professor and Deputy Head of Education at the Department of Electric Energy , Norwegian University of Science and Technology (NTNU) , within the Faculty of Information Technology and Electrical Engineering . His work focuses on high voltage apparatus, electrical machines, and power electronics with a system-oriented perspective. University: NTNU School: Faculty of Information Technology and Electrical Engineering Department: Department of Electric Energy Academic Rank: Associate Professor Keim's research emphasizes insulation design for HVDC, HVAC, and inverter-fed machines, partial discharge analysis, and system-oriented design of electric machines. His work integrates digital tools to enhance electrical system design from generation to consumption. His recent publications explore modular HVDC wind drive trains, multi-agent control systems, aerospace power electronics, and dielectric insulation under combined voltages. These span disciplines including Electrical Engineering , Renewable Energy , and Aerospace Systems . 2015 : Nowitech Innovation award 2016 : Grønn fases energipris Keim has supervised Jaume Martí Cascalló (Master's thesis, 2020) and co-authored extensive research on high-voltage systems. He teaches courses in electrical machines, power systems, and energy infrastructure.

• Electrical Engineering
• Power Systems
• Renewable Energy Integration
• +۷ مورد دیگر

Ian Norheim is an Associate Professor in the Department of Electrical Energy at the Norwegian University of Science and Technology (NTNU), Gjøvik campus. His academic and professional journey spans research, industry, and academia, with a focus on electrical energy systems and renewable integration. Ph.D. in Electrical Engineering, NTNU (2002) M.Sc. in Electrical Engineering, NTNU (1997) His research interests lie in the domain of modern power systems, particularly renewable energy integration, microgrids, voltage stability, and distributed energy resources. His recent publications emphasize multi-energy systems and the technical challenges of integrating wind power into existing grids. The trend in his publications shows a consistent focus on electrical energy systems, starting with wind power integration and reserve assessment in 2008, moving to voltage optimization in distribution networks in 2018, and culminating in a comprehensive 2025 review on multi-energy microgrid design. These works reflect a deep engagement with sustainable energy transition, system modeling, and grid resilience. No scientific awards are mentioned in the available text. Ian Norheim has supervised bachelor's theses and teaches key courses in power electronics, electrical machines, high-voltage systems, and power system stability. While formal graduate advisees are not listed, his involvement in research and education suggests an active role in student mentorship. There is no mention of specific grants, but his publications indicate sustained research activity. He is affiliated with NTNU’s Department of Electrical Energy and conducts research in power system modeling and renewable integration. His work contributes to the development of resilient and sustainable energy infrastructure.

Liliia Opryskمشاهده پروفایل

استاد

• EU Intellectual Property Law
• Digital Content Distribution
• Data Protection Law
• +۶ مورد دیگر

Liliia Oprysk is a Professor at the Faculty of Law, University of Bergen. She specializes in EU Intellectual Property law, digital content regulation, data protection, and IT law. Her research also explores Ukrainian legal harmonization with EU acquis and war-related legal challenges. Affiliation: Faculty of Law, University of Bergen Research Interests: EU Copyright Law, Digital Economy Regulation, EU-Ukraine Legal Integration Her research focuses on: EU copyright harmonization Digital content distribution and consumer rights Data protection in digital markets Ukraine's legal alignment with EU standards Impact of war on legal systems AI and emerging technology regulation Publications highlight her work on: Copyright exhaustion in digital markets Legal implications of streaming services War crimes accountability Ukrainian children deportation analysis EU acquis harmonization Digital consumer contract law She teaches EU Copyright Law (JUS2314/JUS3514) and GDPR & Privacy (DIGI113/DIGI613), serving as course coordinator for JUS2314 since 2025. Her practical experience includes IT operations, digital compliance, and technology contract negotiations.

Ingrid Hobæk Haffمشاهده پروفایل

دانشیار

• Multivariate statistics
• Copulae
• Skew distributions
• +۳ مورد دیگر

Ingrid Hobæk Haff is an Associate Professor in insurance mathematics and statistics at the Department of Mathematics, University of Oslo since 2015. She holds a master's degree in Industrial Mathematics from NTNU (2002) and a PhD from the Statistics for Innovation center (2008–2012), with a 20% position as a research scientist at the Norwegian Computing Centre. Previously, she worked there as a research scientist and senior scientist. Her research interests focus on multivariate statistics, copulae, skew and heavy-tailed distributions, and applications in insurance and finance. She has contributed to advancements in statistical modeling, particularly in copula constructions and their applications to risk assessment and extreme value analysis. Key awards include the Sverdrup award for young scientists and the mathematical award of Hanna og John Olav Stubban . She is affiliated with the Statistics and Data Science research group and the completed Stochastics of Renewable Energy Markets (STORE) project. Her work spans interdisciplinary collaborations, including applications in immunology and bioinformatics, leveraging machine learning for antibody-antigen interaction studies and synthetic data generation.

• Next Generation Internet
• Human-centric Networking
• Ontology and Knowledge-based Management
• +۱۳ مورد دیگر

David Palma is an Associate Professor at the Department of Information Security and Communication Technology , Faculty of Information Technology and Electrical Engineering , Norwegian University of Science and Technology (NTNU). His research focuses on next-generation networking paradigms, including intent-based networking , knowledge-driven management , and IoT device automation . Key research interests include: Human-centric Internet of Things (IoT) Ontology-based network management Cloud/Edge/Fog computing for IoT Arctic and satellite communication 5G integration in smart grids His recent publications (2024-2019) highlight trends in knowledge graphs for network compliance, XR applications in critical sectors, UAV-based emergency networks , and 5G-enabled smart grid protection . Articles also explore Arctic connectivity via satellite swarms and energy-efficient IoT management.

• Artificial Intelligence
• Physics
• Computer Technology
• +۴ مورد دیگر

Pedro Lind is a Professor at Oslo Metropolitan University's Faculty of Technology, Art and Design, where he serves in the Department of Information Technology with a focus on Artificial Intelligence. His academic appointments include active participation in research groups for Applied Artificial Intelligence and Mathematical Modeling. Dr. Lind's research spans interdisciplinary domains including: Biomedical AI applications (EEG classification, ECG analysis, eye tracking) Stochastic processes and complex systems modeling Trustworthy machine learning for security/privacy Physics-inspired computational methods Renewable energy statistics and modeling His recent publications demonstrate strong focus on developing novel AI methodologies for medical diagnostics (2024-2025), particularly using generative models and interpretable AI approaches for physiological data analysis. He leads significant research initiatives including the AI-Mind project developing diagnostic tools for dementia. Additional projects include international technology transfer collaborations with Czech Republic institutions. Dr. Lind maintains active research teams and labs focused on computational neuroscience and applied AI.

• Power System Dynamics and Control
• Distributed Power Generation
• Optimization Methods
• +۷ مورد دیگر

Pawan Sharma is an Associate Professor at the Department of Electrical Engineering, Faculty of Engineering Science and Technology, UiT The Arctic University of Norway (Narvik Campus). He is affiliated with the Electromechanical Systems research group and the ARC research center. His research focuses on: Power system dynamics and control Distributed generation integration Microgrid optimization Smart grid technologies Reactive power control Electric vehicle-grid interaction Key research trends observed in his publications include: Hybrid microgrid control frameworks Cyber-physical co-simulation for grid applications Machine learning approaches for power optimization Integration of renewable energy sources Advanced converter control techniques Voltage stability and reactive power management He serves on the editorial boards of: International Transactions on Electrical Energy Systems Designs (MDPI) Electrical Engineering (Springer) Teaching responsibilities: Master's course: Power System Fundamentals (10 credits) Special PhD course: Distributed Energy Resources Integration (10 ECTS) Distributed Generation & Microgrids: Role and Concepts (5 credits) Research projects include: Cooperative Isolated Renewable Energy Systems (rural reliability) Hybrid Renewable Energy Micro Grid development Smart Solar PV Control Technology in Arctic regions arcICE, Arctic Energy, nICE initiatives

• Power Electronics
• Control Systems
• Renewable Energy Systems
• +۳ مورد دیگر

Sohail Umer is a University Lecturer in the Department of Electrical Technology at UiT The Arctic University of Norway, specializing in power electronics and energy systems. His work focuses on improving power quality, control techniques, and energy efficiency in standalone and grid-connected systems. Research group: Electromechanical Systems Project: DeHigh His research explores advanced control strategies for power electronic converters, particularly Current Source Converters and Modular Multilevel Converters, with applications in renewable energy integration, microgrids, and smart grid technologies. Recent publications highlight innovations in adaptive modulation techniques, overlap-time mitigation, and hybrid PV-battery systems. Key themes include energy storage optimization, distributed generation, and converter design for standalone applications. Collaborations span institutions like UiT and include co-authors such as Trond Østrem, Bjarte Hoff, and Andrei Blinov. His work addresses challenges in renewable energy systems, including grid stability, harmonic reduction, and multi-port converter efficiency.

Frode Kristian Hansenمشاهده پروفایل

استاد

• Cosmology
• Astronomy and Astrophysics
• Cosmic Background Radiation (CMB)
• +۴ مورد دیگر

Frode Kristian Hansen is a Professor in the Department of Astronomy and Astrophysics at the University of Oslo . His research focuses on cosmology , particularly the cosmic microwave background (CMB) , structure formation, and space-based observations from missions like Planck and Euclid . Recent research highlights include investigating the CMB Cold Spot and proposing explanations for CMB anomalies through foreground galaxy interactions. He contributes to Planck data analysis , focusing on component separation , inflation constraints , and cosmological parameter estimation . His publications span CMB polarization , gravitational lensing , non-Gaussianity , and dark energy studies , often in collaboration with large international teams. He emphasizes statistical methods and foreground modeling in cosmological data interpretation.

• Cybersecurity
• Critical Infrastructure Protection
• Cyber-Physical Systems
• +۴ مورد دیگر

Stephen Dirk Bjørn Wolthusen is a Professor at the Norwegian University of Science and Technology (NTNU) in the Department of Information Security and Communication Technology. He is based in Gjøvik, Norway, and his work focuses on cybersecurity, critical infrastructure protection, and cyber-physical systems. His research spans network topology, smart grids, formal methods, and privacy in IoT systems, with a particular emphasis on security vulnerabilities and resilience in resource-constrained environments. His recent publications address hierarchical information overlays, adversarial pathways in smart grids, and formal methods for securing cyber-physical systems. His work frequently appears in journals and conferences such as IFIP Advances in Information and Communication Technology , Lecture Notes in Computer Science (LNCS) , and IEEE conference proceedings . Topics include adversary models, queueing networks, access control, and policy enforcement in tactical and industrial contexts.

• Power Electronics
• Energy Conversion
• Microgrids
• +۴ مورد دیگر

Bjarte Hoff is an Associate Professor and Study Program Director for the Master of Electrical Engineering at UiT The Arctic University of Norway's Department of Electrical Technology. His core research focuses on power electronics, energy conversion systems, microgrids, and smart energy applications, particularly in Arctic environments. He leads multiple projects including RENEW (renewable energy systems), Smart Senja, and HyEkoTank (hydrogen fuel cells for maritime transport). His research interests span: Power electronics and control algorithms Low-voltage electrical installations and microgrids Distributed generation and smart grids Electric transport systems (maritime/vehicular) Renewable energy integration Capacitive wireless power transfer Publication analysis shows consistent focus on: energy conversion topologies (especially current source inverters), Arctic energy management using deep learning, capacitive wireless charging for maritime applications, and optimization of power transfer systems. His most recent works demonstrate increasing emphasis on AI-driven energy management and hydrogen fuel cell integration. He teaches courses including: ELE-3605 Electrical Engineering Project ELE-3607 Power Electronics ELE-3608 Advanced Electric Drives ETE-2801 Electrical Installations As principal investigator, he leads projects such as: RENEW - Renewable & Smart Rural Power Systems Smart Senja (Arctic microgrids) HyEkoTank (hydrogen PEM fuel cells for ships) Arctic Energy research initiative UNDERSEA capacitive charging systems He collaborates with the Electromechanical Systems research group and supervises PhD candidates in power electronics and energy systems.

• Cryptography
• Blockchain Technology
• Network Security
• +۷ مورد دیگر

Danilo Gligoroski is a Professor at the Department of Information Security and Communication Technology at NTNU. His research focuses on cryptography, blockchain technology, network security, and 5G systems. He has collaborated extensively on projects involving decentralized ledgers, cybersecurity in healthcare, and hardware implementations of cryptographic algorithms. Key contributions include work on blockchain-based trust systems, secure network slicing, and privacy-preserving protocols. Affiliations: NTNU, Department of Information Security and Communication Technology Primary Research Areas: Cryptography, Blockchain, 5G Networks, Cybersecurity Notable Projects: GRAND Parallel Decoding Framework, GDPR-compliant healthcare blockchain Research interests span cryptographic protocol design, distributed ledger technologies, and their applications in healthcare, telecommunications, and IoT. His work often addresses scalability, privacy, and compliance challenges in decentralized systems. Publications highlight trends in blockchain consensus mechanisms, cryptographic hardware optimization, and network security for next-gen communication systems. Collaborations with industry and academic partners emphasize practical implementations and real-world use cases. Advising and grants include supervision of interdisciplinary projects and contributions to EU-funded cybersecurity initiatives. Active in open-source software development for network slicing and blockchain frameworks.