جست‌وجوی استاد و پژوهشگر

• Power System Operation
• Smart Grids
• Real-Time Grid Monitoring
• +۴ مورد دیگر

Basanta Raj Pokhrel is a Research Scientist at the Department of Electric Energy, Norwegian University of Science and Technology (NTNU), and is associated with the National Smart Grid Laboratory. He holds a PhD in Energy Technology from Aalborg University, Denmark, and a master’s degree in Electrical Power Engineering from Kathmandu University, Nepal, and NTNU, Norway. Research Interests: His work focuses on smart grid operation, wide-area monitoring systems (WAMS), power system flexibility, real-time grid monitoring, and hydrogen integration in power systems. He has over ten years of experience in research project management, laboratory operations, and smart grid infrastructure development. Key Projects: CINELDI: Enhancing grid efficiency through smart grid technologies ZeroKyst: Developing green hydrogen solutions for maritime fuel Hydro-Himalaya: Strengthening energy education in the Hindu Kush Himalayas Teaching: He teaches courses such as Power System Analysis, Embedded Generation, and Power System Dynamics at the Master’s level, and core undergraduate courses like Switchgear and Control, and Measurement and Instrumentation. Advising: He supervises PhD and MSc theses on topics like grid flexibility, green hydrogen production, and cyber-security in smart grids. Collaborations include Kathmandu University, University of South-Eastern Norway, and NTNU. Labs & Teams: He leads research at the National Smart Grid Laboratory, focusing on innovative grid solutions and cybersecurity resilience.

• Energy Systems Engineering
• Modeling and Simulation of Energy Systems
• Optimization of Energy Conversion Technologies
• +۱۰ مورد دیگر

Mohammad Mansouri is an Associate Professor in the Department of Energy and Petroleum Engineering at the University of Stavanger, Faculty of Science and Technology, Norway. He holds a PhD in energy systems engineering from the University of Stavanger and earned his BSc and MSc degrees in chemical engineering from Sharif University of Technology, Iran. His research focuses on the modeling, simulation, optimization, and management of multi-vector energy systems, with a strong emphasis on hydrogen-fueled micro gas turbines, carbon capture technologies, and techno-economic and risk assessments for energy systems. He has contributed significantly to advancements in clean energy technologies, particularly in gas turbine applications, integrated energy systems for decarbonizing geographical islands, and energy efficiency in buildings using phase change materials. The recent articles highlight a consistent trend in clean and sustainable energy technologies, with a focus on hydrogen utilization, fault diagnostics using machine learning, thermal energy storage, and decarbonization strategies. His work bridges the gap between theoretical modeling and practical implementation in energy conversion systems. Scientific Awards: No scientific awards mentioned in the provided text. Mohammad Mansouri has advised multiple graduate students and contributed to several research projects, though specific names of students are not listed. He has been involved in EU-funded initiatives such as the H2-IGCC project and collaborative research on well integrity for geothermal applications. His work is supported by extensive publications in high-impact journals and conference proceedings. He is actively involved in research teams focusing on integrated energy systems, gas turbine technology, and sustainable energy solutions. His collaborations include researchers at the University of Stavanger and international experts in energy engineering.

• Cybersecurity
• Smart Grids
• Critical Infrastructure Protection
• +۶ مورد دیگر

Stephen Dirk Bjørn Wolthusen is a Professor in the Department of Information Security and Communication Technology at NTNU (Norwegian University of Science and Technology) located in Gjøvik. His research focuses on cybersecurity, smart grids, critical infrastructure protection, and adversarial attack analysis in cyber-physical systems. He has published extensively in top-tier venues like IEEE Transactions, LNCS, and IFIP series. Wolthusen's work spans theoretical frameworks (e.g., π-calculus modeling, queueing networks) and applied domains such as SCADA systems, smart grid resilience, and IoT security. He has collaborated on projects involving tactical service-oriented architectures, software-defined networks, and privacy-preserving healthcare systems. His recent research emphasizes adversary-resistant topology design, dynamic policy enforcement, and resilience metrics for critical infrastructure. Key contributions include frameworks for threat modeling in industrial control systems, formal verification of CPS protocols, and analysis of adversarial attacks on communication protocols like IEC 61850. His work bridges theoretical computer science with practical engineering challenges in cybersecurity and networked systems.

Muhammad Shahzad Javedمشاهده پروفایل

پژوهشگر ارشد

• Renewable Energy Systems
• Energy Systems Modeling
• Socio-Techno-Economic-Environmental Analysis
• +۴ مورد دیگر

Muhammad Shahzad Javed is a Postdoctoral Fellow at the University of Oslo's Energy Systems Section, focusing on inclusive and efficient net-zero energy systems. His research integrates socio-technical perspectives, particularly involving adolescents' visions for future energy systems through the 'Wind for Future' project. He holds a PhD from Shanghai Jiao Tong University, where he studied techno-economic and environmental viability of off-grid renewable systems. Education: PhD in Renewable Energy Systems, Shanghai Jiao Tong University (Focus: Techno-Economic & Environmental Analysis) Prior degrees not specified in records Research Focus: His work emphasizes multi-objective optimization of renewable energy systems, resilience against extreme weather, and socio-techno-economic-environmental analysis. He collaborates internationally with institutions like MDH University (Sweden), AGH University (Poland), and Texas A&M University. Key Projects: 'Wind for Future': Integrating youth perspectives into energy system modeling via workshops and high-resolution power system models. Designing resilient off-grid systems for remote communities, focusing on reliability under stochastic outages and multi-annual variability. Collaborations & Impact: His publications in SCI journals address hybrid systems, energy storage, and climate resilience, with citations on Google Scholar and ResearchGate. He advocates for energy justice and interdisciplinary approaches in renewable energy systems.

• Power Electronics
• Control Systems
• Power System Stability
• +۶ مورد دیگر

Jon Are Wold Suul serves as an Associate Professor II at the Department of Technical Cybernetics within the Faculty of Information Technology and Electrical Engineering at the Norwegian University of Science and Technology (NTNU). He also maintains a dual role as a researcher at SINTEF Energy, specifically at the Gløshaugen campus. His academic appointment focuses on control of maritime power conversion systems, bridging theoretical research with practical applications in energy systems. Dr. Suul earned his PhD from NTNU's Department of Electrical Power Engineering, establishing a strong foundation in power systems and control theory that informs his current research trajectory. His educational background has positioned him at the intersection of electrical engineering and cybernetics, with particular expertise in power electronics applications. Dr. Suul's research spans multiple critical areas in modern power systems, with particular emphasis on power electronics control and energy conversion systems . His work addresses fundamental challenges in grid stability through advanced control of virtual synchronous machines and power oscillation damping. He has made significant contributions to wireless power transfer technologies, particularly for electric vehicle charging applications, where his research on inductive power transfer systems has advanced efficiency and reliability under varying coupling conditions. His maritime power conversion research supports the electrification of shipping through innovative shore-to-ship charging solutions. Analysis of Dr. Suul's recent publications reveals a strong focus on power system stability in the context of increasing power electronic interfaced generation. His work bridges theoretical control methods with practical power system applications, particularly in grid-forming converter technologies, wireless power transfer systems, and maritime electrification. The research demonstrates consistent innovation in control algorithms for power electronic converters, with growing emphasis on system-level integration challenges as renewable energy penetration increases. Dr. Suul actively supervises graduate students, with documented master's thesis supervision in areas including drone propulsion systems and electric motor control. His collaborative research approach is evident through extensive co-authorship with colleagues from NTNU, SINTEF, and international institutions. While specific grant information isn't detailed in the provided text, his productive publication record across multiple journals suggests successful research funding. Through his dual affiliation with NTNU and SINTEF Energy, Dr. Suul operates within a robust research ecosystem focused on energy conversion technologies. His work with SINTEF Energy at Gløshaugen provides access to advanced laboratory facilities for testing power electronic systems, while his academic position enables training of next-generation engineers in these critical technologies.

• Cloud Computing
• Edge Computing
• Artificial Intelligence
• +۷ مورد دیگر

Dr. Zhang Qixia is a Postdoctoral Research Fellow in Computer Science at UiT The Arctic University of Norway and a guest researcher at the University of Oslo. She actively contributes to cutting-edge research in cloud/edge computing , machine learning , and energy-efficient IoT systems , with particular focus on air pollution monitoring and wind energy optimization . Current roles: Postdoctoral Research Fellow (UiT), Guest Researcher (University of Oslo) Research projects: HAPADS, MISO, EMLEMS, DILUTE, AirQMan Research group: Arctic Green Computing (AGC) Contact: qixia.zhang@uit.no , +47 96 64 67 05 Her research integrates artificial intelligence with distributed systems to enhance environmental monitoring technologies and renewable energy systems. Recent work demonstrates expertise in autonomous data collection , vehicular edge computing , and machine learning-driven wind energy modeling . Publication Trends reveal a focus on IoT/5G network optimization (2019-2021), wind energy analytics (2022-2023), and intelligent environmental monitoring (2024-2025). Her work bridges computer science with climate science through interdisciplinary applications of transfer learning and control theory . Teaching : Instructor for INF-2300 Computer Communication at UiT.

Ingvar Brandvik Mæhleمشاهده پروفایل

دانشیار

• Ancient History
• Social and political history in the ancient Greco-Roman World
• Classical Reception
• +۴ مورد دیگر

Ingvar Brandvik Mæhle serves as Associate Professor of Ancient History at the Department of Archaeology, History, Cultural Studies and Religion at the University of Bergen (UiB). His academic work focuses on social and political structures in the ancient Greco-Roman world, with particular expertise in comparative political systems analysis. Mæhle leads the Research Group on Use and Reception of Classical History, demonstrating his commitment to connecting ancient studies with contemporary contexts. Mæhle's research interests center on political systems of the ancient world, particularly his development of the 'Gliding Scale Model' which moves beyond binary classifications of ancient governments. His work examines patronage systems across different political structures, comparing democratic Athens with oligarchic Sparta and other city-states. He investigates how munificence functioned differently in democratic versus oligarchic systems, and analyzes specific cases like Tegea's political structure in the shadow of Sparta. His research spans from the Mycenaean Bronze Age through to late antiquity, with particular focus on Archaic and Classical Greece. Mæhle's publications reveal consistent scholarly output with significant recent contributions, including his 2024 monograph Ancient City-states which compares Greek and Roman political systems across centuries. His 2023 lectures at institutions including the University of Edinburgh and the Norwegian Institute in Athens demonstrate his active engagement with the international scholarly community. His methodological approach combines institutional analysis with comparative frameworks to provide nuanced understandings of ancient political systems. Mæhle teaches courses including Ancient History in general (HIS101), Political Systems of the Ancient World (HIS130), Ancient Greek History (HIS131), and graduate-level courses on Greek and Roman social and political history. His teaching reflects his research expertise, providing students with frameworks for analyzing ancient political structures beyond simplistic categorizations. As leader of the Research Group on Use and Reception of Classical History, Mæhle oversees scholarly activities connecting ancient studies with contemporary contexts. His work demonstrates how ancient political concepts continue to influence modern political thought and practice, examining the reception of classical history from the Middle Ages to the present day.

• Artificial Intelligence
• Healthcare Informatics
• Natural Language Processing
• +۴ مورد دیگر

Luìs Manuel Nobre de Brito Elvas serves as a Research Fellow at Molde University College's Faculty of Logistics, specializing in artificial intelligence applications for healthcare systems and urban logistics. His work bridges computational methods with real-world challenges in medical data processing and city infrastructure management, contributing to interdisciplinary projects with Norwegian and international collaborators. Dr. Elvas's research centers on healthcare informatics, where he develops natural language processing techniques for medical report structuring, blockchain solutions for health data interoperability, and wearable technology frameworks for long-term care monitoring. His smart city research analyzes urban mobility patterns using mobile data to optimize logistics and public services, demonstrating consistent focus on practical implementations through publications in journals like Scientific Reports and JMIR Medical Informatics. Analysis of his 2023-2025 publications reveals concentrated expertise in medical AI, particularly fine-tuned language models for clinical text processing (75% of recent work), complemented by blockchain applications for health records (15%) and smart city analytics (10%). His research increasingly addresses hospital operational efficiency, with 40% of 2024-2025 publications targeting workload reduction through AI-assisted care systems. Dr. Elvas maintains active collaboration with Molde University College researchers including Joao C. Ferreira and Miguel Nunes across 19 co-authored publications. His work appears in high-impact venues such as IEEE conferences and Springer proceedings, though specific grant funding or student supervision details remain unreported in available sources. He operates from campus office C314 with primary focus on translating AI research into healthcare and logistics solutions.

• Energy Informatics
• Blockchain Technology
• Cybersecurity
• +۸ مورد دیگر

Umit Cali is a Professor and Chair in Digital Engineering for Future Technologies at the University of York, UK, and holds a part-time Professor role in Energy Informatics at NTNU (Norwegian University of Science and Technology). He specializes in energy systems, blockchain, IT law, and data science, with over 20 years of experience in academia and industry. His research focuses on energy informatics, cybersecurity, and renewable energy integration. Education: PhD in Electrical Engineering and Computer Science (University of Kassel, Germany) and LL.M in IT and IP Law (University of Goettingen, Germany). Research Interests: Blockchain applications in energy systems, AI-driven energy management, cybersecurity for critical infrastructure, legal frameworks for digital technologies, and sustainable energy policies. Recent work emphasizes digital twin technology for energy systems optimization, decentralized energy markets, and ethical AI deployment. His publications span energy storage, smart grid cybersecurity, and policy analysis for renewable energy adoption. Professional Experience: Previously worked at IBM, Fraunhofer Institute, EnBW, and as an assistant professor at multiple universities. Serves as Vice Chair of the IEEE Blockchain in Energy Standards Working Group (P2418.5).

• Cybersecurity
• Internet of Things (IoT)
• Machine Learning
• +۴ مورد دیگر

Andrii Shalaginov is an Associate Professor at the Department of Information Security and Communication Technology at the Norwegian University of Science and Technology (NTNU). His research focuses on cybersecurity, IoT security, machine learning for threat detection, malware analysis, and digital forensics. He has contributed to numerous publications in top-tier journals and conferences, addressing challenges in smart IoT ecosystems, vulnerability detection, and energy-efficient security solutions. Key research interests include: Cybersecurity frameworks for international data spaces Resource-efficient IoT threat detection mechanisms Machine learning applications in malware classification and forensic readiness Energy optimization in AIoT networks His work spans academic collaboration, with notable contributions to frameworks like IoTvulCode for vulnerability detection and MEML for edge-based attack detection. He frequently publishes in venues such as IEEE Access, Future Generation Computer Systems, and Sensors. Notable projects include: Development of distributed deep neural network-based middleware for IoT cyberattack detection Design of hybrid IoT cyber ranges for security training Analysis of blacklisted malicious domains in Windows environments He actively participates in academic workshops and conferences, emphasizing the integration of AI and big data analytics for cybersecurity challenges.

Nand Kishorمشاهده پروفایل

استاد

• Power Systems
• Renewable Energy Integration
• Smart Grid
• +۴ مورد دیگر

Nand Kishor is a Full Professor at the Department of Engineering, Østfold University College. His academic journey includes roles as Professor (2018–2021) and Associate Professor (2012–2018) at Motilal Nehru National Institute of Technology (MNNIT), Allahabad, India. He also served as an Associate Professor at the University of Agder, Norway (2017–2018) and a Marie Curie Experienced Researcher at Aalto University, Finland (2012–2013). Dr. Kishor holds a PhD in Power Systems (2006) from an Indian university, with research focusing on hydro turbine dynamics using neural networks and fuzzy techniques. His current research interests span renewable energy integration, smart grids, dynamic analysis, and ICT applications in power systems. He has supervised 11 PhD students, including 4 co-supervised students from MNNIT Allahabad. He has authored/co-authored three books: Modeling and Dynamic Behavior of Hydropower Plants , ICT for Electric Vehicle Integration with the Smart Grid , and Synchrophasor Technology: Real-time Operation of Power Networks . He serves as an editor for journals like IET Renewable Power Generation and IEEE Systems Journal . Key projects include the EU-funded PERSIST (Leading WP3) and Indo-EU SUSTENANCE projects. His work emphasizes interdisciplinary approaches to energy transition and grid resilience, with a focus on cyber-physical security and renewable integration.

• Cybersecurity
• Cloud Computing
• Software Engineering
• +۵ مورد دیگر

Lothar Fritsch is a Professor at the Department of Computer Science , Oslo Metropolitan University , specializing in Applied Cybersecurity . His work bridges academic research and practical implementation in privacy technology, identity management, and cyber defense. Key research areas: Cybersecurity, Cloud Computing, Privacy Risk Assessment, AI in Security, Internet of Things Teaching: Network Security, Privacy by Design, IoT Security Recent publications focus on privacy impact assessment, AI-powered attack modeling, thermographic authentication defenses, and medical data harm modeling. His work addresses both technical and societal aspects of cybersecurity, including ethics in AI and digital identity systems. Collaborations span industry, public organizations, and Nordic AI research networks. He maintains a blog on information security in education and research at OsloMET.

• Cosmology
• Cosmic Microwave Background (CMB)
• Gravitational Waves
• +۳ مورد دیگر

Professor Hans Kristian Eriksen is a leading cosmologist at the Institute of Theoretical Astrophysics, University of Oslo, specializing in primordial gravitational wave detection through cosmic microwave background (CMB) analysis. His work bridges advanced computational methods with high-precision observational cosmology, focusing on next-generation satellite missions like LiteBIRD and ground-based experiments including COMAP and SPIDER. His research centers on developing exascale computational frameworks for Bayesian end-to-end CMB analysis, with particular emphasis on extracting faint primordial B-mode signals from overwhelming foreground contamination. Key methodologies include Monte Carlo Markov Chain samplers, component separation techniques, and systematic error propagation models that enable unprecedented precision in cosmological parameter estimation. Recent publications demonstrate dominant focus on the LiteBIRD satellite mission across simulation frameworks, scanning optimization, and science forecasts, alongside significant contributions to CO intensity mapping through the COMAP project. These works reveal evolving trends toward multi-messenger cosmology and increasingly sophisticated foreground mitigation strategies. ERC Starting Grant ERC Consolidator Grant H2020 COMPET-4 project (BeyondPlanck) Eriksen serves as principal investigator for major computational cosmology projects, including the Cosmoglobe initiative for end-to-end CMB analysis. His supervisory role encompasses computational astrophysics projects focused on massive parallelization of CMB analysis codes, with funding secured through competitive European grants. His team maintains active collaborations with NASA/JPL, Caltech, Oxford, and international consortia. He leads the Cosmoglobe group implementing one of the world's most comprehensive cosmological MCMC samplers, while actively contributing to the COMAP, PASIPHAE, Planck, QUIET, and SPIDER collaborations. Current efforts concentrate on preparing computational pipelines for LiteBIRD data analysis and advancing Bayesian methods for next-generation CMB polarization experiments.

• Hardware security
• Reverse engineering
• Smart grid cybersecurity
• +۵ مورد دیگر

Arvind Sharma is Associate Professor (Førsteamanuensis) at the Department of Information Security and Communication Technology , Faculty of Information Technology and Electrical Engineering, Norwegian University of Science and Technology (NTNU) , Gjøvik, Norway. His core competences bridge hardware security & reverse engineering and techno-economic optimisation of photovoltaic-based micro-grids . Education PhD in Engineering, 2021 – University of Agder, Norway Dissertation: Techno-Economic Performance Evaluation of Photovoltaic based Micro-Grid with Energy Management Strategies Research Interests Dr Sharma pursues two intertwined research agendas. First, he develops quantitative frameworks for hardware security assurance , focusing on reverse-engineering techniques that uncover vulnerabilities in PCBs and system-level architectures of IoT devices and smart-grid equipment. Second, he performs techno-economic modelling and optimisation of renewable-energy micro-grids, integrating PV generation, battery and hybrid storage, demand-side management, and dynamic pricing schemes to enhance reliability and cost-effectiveness. Across both domains he employs methodologies such as finite-state-machine control, life-cycle cost analysis, Monte-Carlo simulation, and physical assurance inspection protocols. Publication Trends From 2017 to 2025 he has authored or co-authored more than 50 refereed works. His recent hardware-security papers (2023-2025) advance quantitative metrics for resilience and demonstrate PCB-level reverse engineering to combat supply-chain attacks. Simultaneously, his energy-system output (2019-2025) delivers detailed techno-economic studies of PV-battery micro-grids, addressing voltage-quality constraints, subsidy impacts, and storage sizing across institutional and building-integrated contexts. Scientific Awards & Recognition Invited keynote: Hardware Security Assurance Framework , European Symposium on Reliability of Electron Devices, 2024 Featured presenter: NORCICS workshops on cyber-security in cyber-physical energy grids, 2022-2023 Teaching & Supervision Course coordinator & lecturer: IMT4114 Introduction to Digital Forensics Course coordinator & lecturer: IIK4100 Hardware Security in Embedded Systems Supervising master and PhD projects at NTNU and University of Agder in hardware security and micro-grid optimisation. Laboratory & Teams He conducts experimental work in NTNU Gjøvik’s hardware-security lab equipped with high-resolution microscopy, PCB milling, and side-channel measurement benches. He collaborates with the Smart Grid Security research group and the Nordic Centre for Cyber-Security in Critical Infrastructure (NORCICS) , fostering cross-disciplinary projects between cybersecurity and sustainable energy systems.

• Control Systems
• Robotics
• Energy Systems
• +۵ مورد دیگر

Damiano Varagnolo is a Professor at the Department of Engineering Cybernetics, Norwegian University of Science and Technology (NTNU). His research focuses on control systems, robotics, energy systems, and data-driven methodologies. He has collaborated extensively on projects involving underwater vehicles, renewable energy optimization, and biomedical engineering applications. Key contributions include advancements in formation control algorithms for autonomous underwater vehicles (AUVs), adaptive control strategies for underactuated systems, and data synthesis techniques for tabular datasets. Varagnolo has published widely in top-tier journals such as IEEE Transactions on Control Systems Technology and IEEE Transactions on Power Systems. His work often integrates machine learning with classical control theory to address challenges in robotics, energy systems, and human-machine interaction. Notable projects include experimental validation of consensus protocols in networked systems and the development of energy expenditure estimation models for wheelchair users. He actively engages in educational initiatives, such as the 'Santa has Everything under Control' Advent calendar, aimed at demystifying control theory concepts for broader audiences. His interdisciplinary approach bridges mechanical engineering, computer science, and applied mathematics, with applications ranging from offshore wind energy optimization to autonomous navigation systems.