جست‌وجوی استاد و پژوهشگر

• Power Market Analysis
• Hydropower Scheduling
• Power System Balancing
• +۵ مورد دیگر

Hossein Farahmand is a Professor at the Department of Electric Energy, Norwegian University of Science and Technology (NTNU), and leads the Electricity Markets and Energy Systems Planning (EMESP) research group. He holds an Associate Editor role at IEEE Transactions on Energy Markets, Policy and Regulation and contributes to international initiatives like IEA Wind Task 25 and ISGAN Annex 9. Education : Dr.ing. (PhD) from NTNU (2012) His research focuses on power market analysis, hydropower scheduling, power system balancing, and local flexibility markets in smart grids. Recent work explores renewable energy integration, digitalization, and hydrogen systems. Trends include machine learning applications in hydropower scheduling, offshore wind economics, and grid flexibility solutions. Scientific awards include Senior Member of IEEE and representation in ISGAN Annex 9 and IEA Wind Task 25 . He supervises PhD candidates and co-supervised projects in areas like grid tariffs , local energy communities , and electric vehicle integration . Grants include EU Horizon 2020 and Research Council of Norway funding for projects such as IntHydro , HONOR , and Ocean Grid . Labs and teams include the EMESP research group at NTNU, collaborations with Hohai University , Smart Innovation Norway , and industry partners in China and Norway.

• Internet of Things
• Fog Computing
• Edge Computing
• +۹ مورد دیگر

Amirhosein Taherkordi is a Professor in the Networks and Distributed Systems group at the Department of Informatics, University of Oslo, Norway. His research focuses on resource-efficiency, scalability, adaptability, dependability, mobility and data-intensiveness of distributed systems for emerging computing technologies including Internet of Things (IoT), Fog/Edge/Cloud Computing, and Cyber-Physical Systems (CPS). Dr. Taherkordi received his Ph.D. from the Informatics Department at the University of Oslo under the supervision of Prof. Frank Eliassen, with his thesis titled "Programming Wireless Sensor Networks: From Static to Adaptive Models." He holds an M.Sc. in Information Technology Engineering (Software Engineering) from University of Science and Technology and a B.Sc. in Computer Engineering from Sharif University of Technology. His research spans multiple domains of distributed systems with emphasis on practical applications. He investigates energy efficiency in wireless sensor networks, communication optimization in IoT systems, and adaptive resource allocation in edge computing environments. His work addresses critical challenges in network traffic classification, federated learning for vehicular networks, and data processing across heterogeneous platforms. Analysis of his recent publications reveals a strong trajectory toward communication-efficient federated learning techniques for vehicular networks, energy-aware protocols for IoT data collection, and advanced machine learning approaches for network traffic analysis. His research consistently focuses on optimizing resource usage while maintaining system performance and privacy in distributed architectures. Dr. Taherkordi actively contributes to several research initiatives including the CPS Lab at UiO for Cyber Physical Systems, DILUTE: Fluid Service Abstraction for Large-Scale Cloud IoT Systems, and the Gemini Centre on IoT at UiO. His work bridges theoretical advances with practical implementations in transportation systems, environmental monitoring, and industrial automation.

Tor-Morten Grønliمشاهده پروفایل

استاد

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

Tor-Morten Grønli serves as Professor at the Department of Technology, School of Economics, Innovation and Technology, Kristiania University College (Norway). He is also a Visiting Research Scholar at Copenhagen Business School's Department of Information Technology Management and an affiliate of the Center of Business Data Analytics (cbsDBA). Education PhD in Computer Science from Brunel University, London (2011) Master of Technology (with distinction) from Brunel University, London (2007) Research Focus Grønli leads research in context-aware systems, mobile/pervasive computing, and Internet of Things (IoT). He founded/directs the Mobile Technology Lab at Kristiania and has co-authored 70+ publications. Core expertise includes: IoT architecture and applications Machine learning for transport systems Mobile computing frameworks Blockchain-security integration Edge-cloud computing paradigms Publication Trends Recent works (2023-2025) demonstrate strong focus on converging IoT, blockchain, and AI technologies, particularly for intelligent transport and healthcare systems. Dominant themes include federated learning implementations, privacy-preserving architectures, and sustainable edge computing solutions, with increasing emphasis on real-world applications in medical diagnostics and public infrastructure. Professional Activities Founder/Director of Mobile Technology Lab General Chair: Norwegian Conference on ICT Co-organizer: International Conference on Mobile Web Editorial Board: International Journal of Pervasive Computing, Journal of Online Information Review, Computers & Electrical Engineering TPC Member for IEEE BigData, Percom, HICSS, COMPSAC Guest Editor for special issues in Future Generation Computer Systems

• Internet of Things (IoT)
• Fog Computing
• Edge Computing
• +۱۶ مورد دیگر

Amir Taherkordi is a Professor in the Networks and Distributed Systems group at the Department of Informatics, University of Oslo, Norway. His research focuses on resource-efficiency, scalability, adaptability, and mobility in distributed systems for emerging technologies like IoT, Fog/Edge/Cloud Computing, and Cyber-Physical Systems (CPS). University: University of Oslo Department: Informatics Academic Rank: Professor His research spans IoT, Edge/Fog Computing, and Cyber-Physical Systems, emphasizing energy efficiency, privacy preservation, and self-adaptive architectures. Key areas include network traffic classification, computation offloading, and federated learning applications in vehicular systems. Recent publications highlight advances in latency-aware IoT data transmission , federated vehicular networks , energy-efficient wireless charging , and privacy-preserving data integration . These works often integrate machine learning with network optimization. Projects include the CPS Lab at UiO, DILUTE (Fluid Service Abstraction), and the Gemini Centre on IoT . He collaborates on initiatives like PACE for energy informatics curricula development.

• High Performance Computing
• Parallel Computing
• Heterogeneous Computing
• +۱۲ مورد دیگر

Anne C. Elster is a Professor in the Department of Computer Science at the Norwegian University of Science and Technology (NTNU), within the Faculty of Information Technology and Electrical Engineering. She is the founder and director of the HPC-Lab, a leading research group in heterogeneous and parallel computing. She also maintains a long-standing affiliation with the Oden Institute at the University of Texas at Austin as a Senior Visiting Scientist until Summer 2025. Research Interests: Her work spans high-performance computing (HPC), GPU computing, parallel algorithms, auto-tuning, performance optimization, and machine learning applications in scientific computing. She leads research in heterogeneous architectures and has contributed significantly to compiler and runtime systems for GPUs and accelerators. Publications Trends: Her recent publications (2021–2024) focus on GPU acceleration, auto-tuning frameworks (e.g., BAT, LS-CAT), performance modeling (Roofline), machine learning integration in HPC, and applications in geophysical and scientific computing. There is a strong emphasis on empirical evaluation, benchmarking, and practical optimization techniques. Scientific Awards and Recognition: IEEE Senior Member (2000) IEEE Computer Society Distinguished Contributor Charter member, NTNU's Board (2021) Distinguished Speaker, IEEE Computer Society (2019–2022) Advising and Grants: She has advised over 100 master’s students and several PhD students. She has led major funded projects including the RCN SFI Centre for Geophysical Forecasting, EU H2020 CloudLightning and TICOH, and NFR FRINATEK on Computational Microscopy. She has served on numerous international program committees and evaluation boards. Labs and Teams: She leads the HPC-Lab at NTNU, which includes postdocs, PhDs, and master’s students, and collaborates with international researchers. The lab is a hub for innovation in GPU computing, auto-tuning, and HPC applications.

Berit Irene Helgheimمشاهده پروفایل

دانشیار

• Supply Chain Management
• Healthcare Operations Management
• Logistics
• +۴ مورد دیگر

Berit Irene Helgheim is an Associate Professor in Logistics at Molde University College's Faculty of Logistics, where she holds multiple director positions including Director of the Master of Science in Logistics, Master of Science in Sustainable Energy Logistics, Experienced-based Master in Logistics, Experienced Master in Health Care Operations Management and Digital Systems, Bachelor in Supply Chain Management and Logistics, and Director of the Center for Health Care Operations Management. Her research focuses on Supply Chain Management and Operations Management in Health Care, with particular expertise in applying logistics principles to healthcare systems. Her work explores the intersection of digital transformation, AI applications, and operational efficiency in healthcare delivery, home care services, and sustainable logistics systems. She has made significant contributions to understanding how technology can improve patient flow, reduce healthcare workloads, and enhance documentation systems in both hospital and home care settings. Analysis of her recent publications reveals a strong trend toward applying advanced analytics and AI to healthcare operations, with increasing focus on sustainability and digital transformation across multiple sectors. Her work spans from theoretical frameworks like principal-agent theory in port digitalization to practical applications in emergency departments and home healthcare. The research demonstrates a consistent pattern of interdisciplinary collaboration, often involving computer science experts for AI implementations and healthcare professionals for domain expertise. Professor Helgheim leads the Center for Healthcare Operations Management research group and contributes to Digitalization for Sustainability and Supply Chain Management research groups at Molde University College. Her work demonstrates strong connections between academic research and practical applications in healthcare systems, with numerous case studies conducted in Norwegian municipalities and healthcare institutions. As director of multiple academic programs, she oversees curriculum development and student supervision across bachelor's, master's, and experienced-based master's programs in logistics and healthcare operations. Her leadership extends to major research projects including e-Hospital4Future, which focuses on digital transformation in healthcare settings.

• Robotics
• Intelligent Systems
• Reconfigurable Computing
• +۳ مورد دیگر

Alexander Wold is an Associate Professor at the University of Oslo, affiliated with the Research Group for Robotics and Intelligent Systems within the Faculty of Mathematics and Natural Sciences. His work focuses on reconfigurable computing, embedded systems, and robotics, with notable contributions to FPGA design, real-time systems, and educational technology. He holds a position at the Institute of Informatics (IFI) and can be contacted at alexawo@ifi.uio.no . Research interests include optimizing hardware-software co-design, thermal management in 3D-IC systems, and developing open-source tools like EasyPR for pattern recognition. His publications span topics such as remote cloud labs for reconfigurable logic education, network traffic management in industrial Ethernet, and constraint programming for module placement in FPGAs. Dr. Wold’s articles reflect a strong emphasis on practical applications of robotics and intelligent systems, with a focus on safety-critical industrial systems and autonomic computing. He has contributed to multi-core system design, thermal-aware FPGA architectures, and self-aware systems.

Anne C. Elsterمشاهده پروفایل

استاد

• High-Performance Computing (HPC)
• Parallel Computing
• GPU Computing
• +۶ مورد دیگر

Prof. Anne C. Elster is a Professor of Computer Science at NTNU's Department of Computer & Information Science (IDI), leading the HPC-Lab. She specializes in High-Performance Computing (HPC), GPU acceleration, and heterogeneous systems. Her work spans HPC applications in medical imaging, seismic processing, and oil & gas simulations, with collaborations at CERN, NVIDIA, and Schlumberger. Elster holds a PhD in Electrical Engineering from Cornell University (1994) and is an IEEE Senior Member since 2000. She has supervised over 70 master students and numerous PhD candidates, emphasizing GPU computing. Her teaching includes courses like Parallel Computing and Compilers , with a focus on programming and problem-based learning. She leads EU projects like CLOUDLIGHTNING (2015–2018) and has organized major conferences (e.g., ISC, SC, PARA). Her HPC-Lab is a CUDA Research and Teaching Center, and she advocates for HPC infrastructure investments in Norway through policy engagement.

Oddbjørn Lersveenمشاهده پروفایل

مدرس ارشد

• Academic Administration
• Higher Education Management
• Educational Policy
• +۳ مورد دیگر

Oddbjørn Lersveen is a Senior Lecturer in the Department of Academic Affairs at the University of Agder, Norway. His work focuses on administrative management of academic processes and student services. He is responsible for critical operational tasks including examination logistics, diploma registration, and financial verification. Email: oddbjorn.lersveen@uia.no Phone: +47 38141732 Office: A3011, Universitetsveien 25, 4630 Kristiansand Professional Responsibilities: Register examination combinations in FS Manage diploma registration Verify reimbursement forms Develop work schedule plans Coordinate examination periods Process doctors’ certificates for exams

• Cloud Computing
• Virtualization
• System Administration
• +۲ مورد دیگر

Kyrre Matthias Begnum is an Associate Professor in the Department of Information Security and Communication Technology at the Norwegian University of Science and Technology (NTNU). His research focuses on cloud computing infrastructure, virtualization technologies, and efficient resource management in distributed systems. Dr. Begnum's work explores optimization techniques for cloud environments, including load distribution algorithms and virtual machine management strategies. He has contributed significantly to unikernel development through the IncludeOS project, enabling highly efficient cloud services. His recent publications address security challenges in machine learning-based intrusion detection systems and network reconfiguration in high-performance computing environments. He teaches courses on robust service development and system administration. His outreach includes educational podcasts on problem-solving methodologies in technology and computing.

• Computer Architecture
• Parallel Processing
• Multi-core Programming
• +۴ مورد دیگر

Professor Lasse Natvig is a faculty member at the Norwegian University of Science and Technology (NTNU) in the Faculty of Information Technology and Electrical Engineering , specifically the Department of Computer Science . His research focuses on computer architecture , parallel processing , multi-core programming , and energy-efficient computing . His work includes studying vectorization techniques , cache management , power emulation models , and task scheduling policies to improve performance and energy efficiency in modern processors. He has published extensively in journals like Expert Systems With Applications , The Journal of Supercomputing , and Lecture Notes in Computer Science , with recent 2024 work on micromobility simulation tools. Lasse Natvig's research spans computer architecture , green computing , parallel algorithms , and energy measurement through publications addressing vectorization , cache optimization , and heterogeneous processing . His articles reveal a consistent focus on performance-energy tradeoffs , hardware-software co-design , and simulation tools for computational challenges. Email: lasse.natvig@ntnu.no

• Spacecraft Attitude Control
• Satellite Operations
• Optimal Control
• +۳ مورد دیگر

Bjørn Andreas Kristiansen is a Postdoctoral Fellow at the Department of Technical Cybernetics, NTNU Small Satellite Lab, Norwegian University of Science and Technology (NTNU). His research focuses on optimization of satellite operations, particularly for small satellites and hyperspectral imaging missions like HYPSO-1. His educational background includes: Doctorate (PhD) in Technical Cybernetics from NTNU (2023), with thesis titled "Energy and Time Optimal Spacecraft Attitude Control and Operations" Master of Technology (Civil Engineering) in Cybernetics and Robotics from NTNU (2014-2019), specializing in autonomous systems Kristiansen's research centers on spacecraft attitude control, satellite operations, and optimal control theory. He investigates energy/time optimization for spacecraft maneuvers, with applications in solar-powered satellites, magnetorquer actuation, and thruster-based systems. His work bridges theoretical control methods with practical small satellite technology, emphasizing in-orbit validation and agile maneuvering for Earth observation missions. Analysis of his 2021-2024 publications reveals a cohesive research trajectory focused on advancing satellite operational efficiency. Key themes include hands-off control strategies, slew maneuver accuracy validation for HYPSO-1, and energy-optimal task execution. His work consistently addresses real-world constraints through magnetorquer limitations, power availability, and imaging requirements, demonstrating strong industry-academia collaboration with Space Norway and ESA. No scientific awards were mentioned in the provided text. Kristiansen actively supervises master's students, proposing seven thesis topics for fall 2025 covering super-agile satellite operations, fault detection, re-entry control, and high-accuracy attitude determination. He collaborates with StatSat (Space Norway) for ESA on HYPSO-related projects and served as a research assistant for TTK4100 Cybernetics Introduction from 2020-2023. As ADCS group leader for the HYPSO project since 2021, he leads the Attitude Determination and Control System development within the NTNU Small Satellite Lab. His team handles in-orbit characterization, maneuver validation, and imaging optimization for the HYPSO-1 CubeSat mission, contributing to Norway's growing small satellite capabilities in Earth observation.

Rahul Nathمشاهده پروفایل

پژوهشگر ارشد

• Reliability Engineering
• Evolutionary Algorithms
• Fuzzy Logic
• +۵ مورد دیگر

Rahul Nath is a Postdoctoral Fellow at the Department of Informatics, University of Bergen, Norway. His research lies at the intersection of computational intelligence, optimization, and decision systems, with a strong focus on reliability engineering and fuzzy logic applications. His research interests include Reliability Engineering , Evolutionary Algorithms , Fuzzy Logic , Multi-objective Optimization , Anomaly Detection , and Intelligent Decision-Making under Uncertainty . These areas are central to modern intelligent systems, particularly in safety-critical and uncertain environments. The recent publications highlight a consistent trend in solving complex reliability and optimization problems using advanced evolutionary and fuzzy-based methods. Key themes include multifactorial optimization, constraint handling in many-objective problems, anomaly explanation using fuzzy vocabularies, and energy-aware scheduling in embedded systems. The work demonstrates a deep integration of theoretical algorithm development with practical engineering applications. Scientific Contributions: Developed novel evolutionary approaches for reliability-redundancy allocation. Introduced fuzzy-vocabulary-based frameworks for anomaly detection and explanation. Applied type-2 intuitionistic fuzzy logic to decision-making under uncertainty. Designed energy-efficient scheduling algorithms for real-time systems. Rahul Nath has collaborated extensively with researchers such as Pranab K. Muhuri, Amit K. Shukla, and Md. Abdul Malek Chowdury. His work is published in high-impact journals including Reliability Engineering & System Safety , IEEE Transactions on Fuzzy Systems , and Soft Computing . While no formal advising or grant information is available, his research output indicates active involvement in advanced computational intelligence projects. Currently based at the University of Bergen, he contributes to the Department of Informatics' research in intelligent systems and optimization. His work is accessible through Cristin and digital object identifiers (DOIs).

• Power Market Analysis
• Hydropower Scheduling
• Power System Balancing
• +۴ مورد دیگر

Hossein Farahmand is a Professor at the Department of Electric Energy , NTNU , leading the Electricity Markets and Energy Systems Planning (EMESP) research group. He serves as Associate Editor for IEEE Transactions on Energy Markets, Policy and Regulation and contributes to international initiatives like IEA Wind Task 25 and ISGAN Annex 9 . Education: Dr.ing. (PhD) in Electric Power Engineering (2012) from NTNU. Research Areas: Power Market Analysis & Hydropower Scheduling Power System Balancing under Renewable Integration Local Flexibility Markets & Smart Grid Operations Recent Work includes projects like IntHydro (ML-based hydropower tools), HONOR (cross-sectoral flexibility markets), and Ocean Grid (offshore wind & hydrogen). His 15 most recent publications span topics such as offshore wind integration, P2P energy trading, hydrogen modeling, and flexibility market design. Scientific Recognition: IEEE Senior Member ISGAN Annex 9 Expert (2021) Active in IEA Wind Task 25 Advising includes 11 current/former PhD candidates and 3 postdoctoral researchers . Grants involve collaborations with Hohai University , SINTEF Energi , and EU Horizon 2020 projects.

• Operations Research
• Maritime Logistics
• Vehicle Routing
• +۵ مورد دیگر

Magnus Stålhane is a Professor at the Department of Industrial Economics and Technology Management, Norwegian University of Science and Technology (NTNU). His research focuses on Operations Research , Maritime Logistics , Vehicle Routing , and Optimization , with applications in offshore wind farms, liner shipping, and military logistics. He has published extensively in journals like Transportation Science , European Journal of Operational Research , and Journal of Heuristics . Recent works include Electric Vehicle Routing with heterogeneous recharging technologies, Maritime Fleet Composition under emission restrictions, and Inventory Routing with time-varying demands. His methodologies span Branch-Price-and-Cut , Matheuristics , and Stochastic Programming . Collaborations include researchers from NTNU, Norwegian institutions, and international teams.