جست‌وجوی استاد و پژوهشگر

• Functional Safety
• Safety Instrumented Systems (SIS)
• Cybersecurity in Industrial Systems
• +۵ مورد دیگر

Mary Ann Lundteigen is a Professor in instrumentation systems and safety at NTNU’s Department of Engineering Cybernetics, part of the Faculty of Information Technology and Electrical Engineering. She holds an MSc (1993) and PhD (2009) in Engineering Cybernetics from NTNU, with 15+ years of industry experience across Phillips Petroleum, Nidar AS, DNV, and SINTEF. She has led major research initiatives including SFI SUBPRO (2014–2023) and SFI Autoship (2019–2022), focusing on subsea production, autonomous ships, and cybersecurity for safety-critical systems. Her research emphasizes functional safety of industrial control systems, cybersecurity compliance with standards like IEC 62443, and the integration of AI in safety-critical environments. She leads projects such as APOS 2.0 (digital lifecycle management) and CyberBarrier Management, while supervising multiple PhD students and postdocs. Lundteigen co-authored over 100 publications and received the ExxonMobil Doctoral Prize (2009) for her thesis on SIS reliability. Professional roles include: Co-director of SFI SUBPRO Director of SFI Autoship’s initial phase Adjunct Professor at NTNU (2013) Member of IEC 61511 maintenance team and PDS forum organizing committee Current research focuses on: Cybersecurity threats to SIS AI applications in safety systems Digital twins for safety demonstration Industry 4.0 frameworks like OPC UA Her work bridges academia and industry, with active projects funded by the Norwegian Research Council and industrial partners like Equinor and DNV.

• Structural Engineering
• Concrete Structures
• Structural Reliability
• +۷ مورد دیگر

Max Hendriks is Professor in the Department of Structural Engineering at the Norwegian University of Science and Technology (NTNU), specializing in advanced structural analysis and assessment methodologies for concrete infrastructure. His work integrates computational modeling with experimental validation to address critical challenges in structural safety and durability. His research focuses on: Structural reliability assessment using proof load testing and monitoring data Acoustic emission techniques for concrete damage detection Nonlinear finite element analysis of cracking and shear behavior Durability mechanisms including alkali-silica reaction and corrosion Numerical modeling of structural response to extreme events Analysis of his 2021-2025 publications reveals a methodological evolution toward integrated experimental-computational frameworks, particularly in acoustic emission waveform modeling for fracture characterization and reliability-based assessment of aging infrastructure. His work consistently bridges theoretical advances with practical engineering applications, emphasizing probabilistic approaches for structural safety evaluation under complex degradation scenarios.

• Dynamics of long-span suspension bridges
• Floating bridges
• Stochastic environmental wind and wave loading
• +۷ مورد دیگر

Øyvind Wiig Petersen is an Associate Professor at the Department of Structural Engineering, Norwegian University of Science and Technology (NTNU). His research focuses on bridge dynamics, wind and wave loading, inverse force identification, structural monitoring, and machine learning applications in structural mechanics. He works extensively with long-span suspension bridges and floating bridge systems. Current research areas include vortex-induced vibrations, Kalman filter applications, wind tunnel testing, and finite element model updating. He has published in leading journals like Journal of Wind Engineering, Mechanical Systems and Signal Processing, and Engineering Structures. His work integrates experimental data with computational models for structural condition assessment and load estimation.

Mahmoud Sayed Mahmoud Eidمشاهده پروفایل

پژوهشگر ارشد

• Data-driven fault diagnosis
• Electric power trains
• Electromagnetic modeling
• +۱ مورد دیگر

Mahmoud Sayed Mahmoud Eid is a PhD Research Fellow in Engineering Sciences at the University of Agder. His research focuses on fault diagnosis in electric powertrains using AI-driven methods. He holds a B.S. in Mechatronics Engineering from Helwan University (2013) and an M.S. in Advanced Mechanical and Robotics Engineering from Ritsumeikan University, Japan (2019). Research Focus: Develops computational models for early fault detection in electric motors and inverters under noisy operational conditions. His methodologies integrate electromagnetic theory with machine learning for industrial applications in transportation and energy systems. Publications: His 6 most recent articles (2022-2025) focus on AI-enhanced diagnostics for power electronics and motor systems, demonstrating consistent innovation in signal processing and classifier design for industrial reliability.

• CO2 Capture and Storage
• Thermodynamics
• Chemical Engineering
• +۵ مورد دیگر

Jana Poplsteinova Jakobsen is a Professor in the Department of Chemical Engineering at the Norwegian University of Science and Technology (NTNU). Her research focuses on CO2 capture, transport, and storage, with significant contributions to thermodynamic modeling, fluid dynamics, and advanced measurement techniques. She leads projects involving viscometer development for high-pressure CO2 mixtures and integrates machine learning into process modeling frameworks. Her work spans experimental validation, uncertainty quantification, and techno-economic analysis of CO2 systems. Key collaborations include the BIGCCS and GATEWAY initiatives, addressing CCS infrastructure challenges. She advises students like Bahareh Khosravi, whose 2023 doctoral thesis advanced viscosity measurement methodologies. Research emphases include: 1) High-pressure fluid properties of CO2-rich mixtures, 2) Neural network applications in thermodynamic modeling, and 3) Optimizing CO2 transport infrastructure. Recent publications highlight novel viscometer designs and computational frameworks for unit operations. Her contributions to facility design (e.g., viscosity/density measurement systems) and solvent-based biogas upgrading technologies underscore her interdisciplinary approach. Ongoing work focuses on enhancing CCS deployment through industry-driven innovation and policy alignment.

Gianfranco Nencioniمشاهده پروفایل

دانشیار

• Mathematical Modelling and Optimization
• Dependability
• Energy-Efficiency
• +۷ مورد دیگر

Gianfranco Nencioni is an Associate Professor at the Department of Electrical Engineering and Computer Science, Faculty of Science and Technology, University of Stavanger, Norway, since 2018. He leads the Computer Networks (ComNet) research group and serves as principal investigator for the Norwegian Research Council-funded project 5G-MODaNeI. Ph.D., Information Engineering, University of Pisa (2009–2011) M.S., Telecommunication Engineering, University of Pisa (2006–2008) Postdoctoral fellow, NTNU (2015–2018) and University of Pisa (2012–2015) His research focuses on mathematical modeling and high-performance optimization of resource allocation in wired/wireless networks, with emphasis on dependability , energy-efficiency , and emerging technologies like SDN, NFV, and 5G. Recent work explores AI-driven orchestration for smart cities and security-dependent availability models in 5G-MEC systems. Article trends highlight his contributions to multi-objective optimization (energy, cost, availability), deep reinforcement learning for network slicing, and security-dependability co-design in edge computing. Key projects include 5G-MODaNeI and development of hybrid testbeds for MEC applications.

Ali Goharمشاهده پروفایل

پژوهشگر

• Communication Networks
• 5G and 6G
• Mathematical Modeling for Communication Networks
• +۳ مورد دیگر

Ali Gohar is a Researcher at the Department of Electrical Engineering and Computer Science, Faculty of Science and Technology, University of Stavanger. He holds a PhD in Computer Science from the same university (2019-2024) and has supervised multiple master's theses. Education: PhD - Computer Science, University of Stavanger (2019-2024) MS - Computer Science, Kookmin University (2017-2019) BS - Telecommunication, COMSATS University Islamabad (2011-2014) Certifications: AI in Education, Constructive Alignment and Digital Course Design, Intercultural Competence, NyTi Teaching Certificate, CCNA Research Interests: Ali Gohar's work centers on Deep Reinforcement Learning, 5G/6G communication networks, mathematical modeling, and resource allocation optimization. His research develops autonomous algorithms for network systems in smart cities and space-air-ground integrated networks. Publications: He has contributed to 15 recent publications spanning peer-reviewed journals and conference proceedings, focusing on network slice brokers, virtual network embedding, scalable video coding, and remote driver selection. These works intersect with AI, telecommunications, and urban infrastructure. Supervision: He has mentored students on projects including security-aware resource allocation, federated learning, and vertical industry optimization in smart cities.

Silvia Lizeth Tapia Tarifaمشاهده پروفایل

دانشیار

• Formal methods
• Distributed systems
• Parallel computing
• +۷ مورد دیگر

Silvia Lizeth Tapia Tarifa is an Associate Professor in the Department of Informatics at the University of Oslo, specializing in formal methods for parallel and distributed systems. She serves as one of the principal investigators for the NFR SJM (Smart Journey Mining) project, which runs until 2026, and actively participates in Digital Twins research with a focus on GDPR-compliant data management. Her academic affiliations include the Reliable Systems research group and the Analytical Systems and Reasoning (ASR) group at the Department of Informatics. Professor Tapia Tarifa's research spans formal methods, concurrency theory, and distributed systems with particular emphasis on self-adaptive systems, semantics of concurrent languages, compositional reasoning about distributed system behavior, and formal modeling of resource usage. Her work bridges theoretical computer science with practical applications in digital twins, GDPR compliance, and resource management in distributed environments. She has made significant contributions to the ABS language framework and active object models for parallel and distributed computing. Her publication record shows a consistent focus on formal verification techniques applied to emerging challenges in distributed computing. Recent work demonstrates increasing attention to digital twins technology, user journey modeling, and privacy-preserving systems. The research trajectory reveals evolution from foundational work on concurrent language semantics toward applied research in self-adaptive systems and GDPR-compliant architectures, while maintaining strong theoretical underpinnings in formal methods. Young Research Talent grant from Research Council of Norway (2017), the only computer science grant in that call Fellow at United Nations University, International Institute for Software Technology (2007) Active participation in formal methods community as general chair, PC chair, and committee member Professor Tapia Tarifa has supervised PhD and master's students while teaching graduate-level courses. She has led significant research initiatives including the Analysis and Complex System Research Program at SIRIUS Center (ended 2023) and the EU MSCA-ITN REMARO project on Reliable AI for Marine Robotics (ended 2024). Her current research portfolio includes multiple active grants focused on digital twins, user journey analysis, and privacy-preserving distributed systems. She collaborates extensively with researchers across Europe through various EU-funded projects including FP7 ENVISAGE, FP7 FET UpScale, and FP7 FET HATS. Her research activities are centered around the ABS language framework and its applications to distributed systems verification. She maintains active collaborations through the SIRIUS Center and participates in the international formal methods community through conference organization and program committees.

• Electric Power Engineering
• Renewable Energy
• Power Systems Planning
• +۳ مورد دیگر

Ian Norheim is an Associate Professor at the Department of Electric Energy, NTNU in Gjøvik. He holds a Doctor ingeniør degree in Electric Power Engineering from NTNU (2002). His career includes research at SINTEF (2002–2007), power infrastructure projects at Eidsiva Nett (2007–2013), and teaching at Gjøvik University College (2014–2015). His research focuses on renewable energy integration, power systems planning, and microgrid design. Education: Norwegian University of Science and Technology (NTNU), Doctor ingeniør in Electric Power Engineering (2002). Research Interests: Wind energy integration and grid stability Distributed energy resources and smart grids Power systems planning and optimization Multi-energy microgrid design Teaching: Courses include electrical engineering fundamentals, power system stability, and renewable energy systems. Outreach: Presented at conferences like the 2018 IEEE International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG 2018).

Ketil Røedمشاهده پروفایل

استاد

• FPGA and embedded system development
• Radiation effects in electronic components
• Irradiation testing of electronic components
• +۴ مورد دیگر

Ketil Røed is a Professor in the Department of Physics at the University of Oslo, specializing in electronics and radiation effects. His work focuses on FPGA and embedded systems development for high-energy physics experiments and space applications, with significant contributions to CERN's ALICE experiment and radiation testing methodologies. His research interests span FPGA and embedded system development , radiation effects in electronic components , irradiation testing methodologies , radiation physics , Monte Carlo radiation transport calculations , and instrumentation for high-energy physics and space applications . His expertise bridges theoretical radiation physics with practical electronics engineering, particularly in developing radiation-hardened systems for extreme environments like particle accelerators and space missions. Røed's scientific contributions include: Senior Fellowship at CERN Leiv Eiriksson Mobility Programme grant from The Research Council of Norway Active participation in major international collaborations (ALICE, RADSAGA, NorLHC) He serves as Study Programme Coordinator for Electronics, Informatics and Technology at UiO and contributes to educational initiatives like the CaNoRock program. His experimental work involves leading radiation testing projects and developing instrumentation for space missions including QB50 and NorSat-1. Current projects include the ALICE FoCal upgrade, G-CHASER rocket program, and RADSAGA Innovative Training Network focused on radiation effects in space and accelerator environments.

Lasse Vinesمشاهده پروفایل

استاد

• Semiconductor Physics
• Materials Physics
• Point Defects
• +۶ مورد دیگر

Lasse Vines is a Professor of Solid-state Physics and Quantum Technology at the University of Oslo (UiO), affiliated with the Department of Physics and the Center for Materials Science and Nanotechnology. His research focuses on semiconductor physics, materials physics in bulk, thin films, and nanostructures, with applications in solar cells, power electronics, and quantum technology. Key interests include point defects, doping, and diffusion in semiconductors like SiC and Ga2O3. Affiliations: Faculty of Mathematics and Natural Sciences, UiO; Center for Materials Science and Nanotechnology Education: MSc in Physics and Mathematics (NTNU, 2001), PhD in Semiconductor Physics (UiO, 2008) Research Dr. Vines investigates semiconductor defects and their impact on material properties. Recent work includes defect profiling in SiC using SIMS/DLTS, diffusion mechanisms in Ga2O3, and defect-engineered quantum emitters in ZnO. His articles analyze defect dynamics, radiation tolerance, and phase transformations in wide bandgap semiconductors. Publications Recent trends emphasize defect-engineered semiconductors, ion implantation effects, and luminescence mechanisms. Key areas include 4H-SiC device optimization, β-Ga2O3 doping, and quantum material platforms for future technologies. Grants & Projects Involved in projects like GO-POW (Gallium Oxide for Power Electronics), QuTe (Quantum Emitters in Semiconductors), and SiQUEST (Silicon Quantum Technologies). These focus on defect control, quantum materials, and semiconductor applications.

Christian Johansenمشاهده پروفایل

استاد

• Security
• Theoretical Computer Science
• Formal Methods
• +۷ مورد دیگر

Christian Johansen is a Professor at the Department of Information Security and Communication Technology, NTNU, leading the Systems Security Group (S2G). He specializes in Security and Theoretical Computer Science, focusing on formal methods for complex systems' reliability, including security, safety, and concurrency. His work involves models like the Timed Distributed pi-calculus and tools such as LightSC for IoT security. Education: Completed doctoral studies at the University of Oslo in 2010. Research interests span formal verification, cyber-physical systems, and human behavior modeling. Over 60 publications in top venues like CONCUR, ATVA, and journals such as JLAMP. Advising and Grants: Supervised numerous PhD/MSc students and led projects funded by EU-FP7, Horizon-2020, NFR-FRINATEK, and others. Involved in organizing conferences and workshops in formal methods and security. Labs/Teams: Heads S2G and contributes to CCIS, Norwegian Cyber Range, and S2G Playground. Develops tools like SAT modulo Discrete Event Simulation for railway systems and models for human behavior in security.

• Network Security
• Software-Defined Networking
• Network Function Virtualization (NFV)
• +۵ مورد دیگر

Besmir Tola is an Associate Professor at the Department of Information Security and Communication Technology, NTNU. His affiliations include the Faculty of Information Technology and Electrical Engineering, where he holds a permanent academic position. Previously, he served as an Assistant Professor (2020-2022), Researcher (2019-2020), and held a Marie S. Curie Fellowship (2015-2019) within the same institution. He earned his Master's from the University of Siena (Italy) and PhD from NTNU. His research focuses on dependability modeling of software-defined networks, performance analysis of virtualized networks, wireless security, and NFV orchestration. He has published extensively on topics like NFV service resilience, redundancy allocation, and network availability modeling. His work emphasizes practical solutions for carrier-grade service provisioning and network reliability in cloud-native architectures. Dr. Tola has collaborated with industry partners such as Nokia Bell Labs and SIKT (Norway), contributing to both academic and applied research. He is also an accredited Cisco Networking Academy instructor, teaching courses like Cisco Certified Network Associate and Cloud Security. His voluntary roles include leadership in IEEE NTNU Student Branch and PhD/postdoc advocacy organizations.

• Renewable Energy
• Wind Energy
• Solar Energy
• +۷ مورد دیگر

Muyiwa Samuel Adaramola is a Professor in Renewable Energy at the Norwegian University of Life Sciences (NMBU), Faculty of Environmental Sciences and Natural Resource Management, Ås, Norway. He also holds a Professor II position at Makerere University Business School (MUBS), Uganda, and maintains active visiting professorships at institutions in Ghana, Ethiopia, and Nigeria. His academic leadership spans international research, education, and capacity-building initiatives in sustainable energy. BSc in Mechanical Engineering, Obafemi Awolowo University, Nigeria MSc in Mechanical Engineering, University of Ibadan, Nigeria PhD in Environmental Engineering, University of Saskatchewan, Canada His research focuses on renewable energy systems, including wind and solar resource assessment, hybrid energy systems, energy storage, and the socio-economic dimensions of energy access in developing regions. His work bridges engineering and policy, emphasizing sustainable development and climate resilience. The breadth of his recent publications reflects a strong focus on solar photovoltaic performance in sub-Saharan climates, wind energy modeling, hybrid mini-grids, and the socio-technical aspects of energy access. His research consistently addresses real-world challenges in Africa, with applications in Ghana, Ethiopia, Uganda, and Nigeria. He has received no explicitly named scientific awards in the provided text, but his leadership in multiple multi-million-dollar international projects underscores significant recognition and impact. Professor Adaramola has supervised over 30 PhD students, both as main supervisor and co-supervisor, at NMBU and partner universities across Africa. He leads major externally funded projects, including an NOK 91 million institutional collaboration between NMBU, Hawassa University, and Mekelle University in Ethiopia, and other initiatives in Kenya and Ghana focused on education, research, and innovation in sustainable energy. His research is conducted through collaborative networks involving universities in Canada, Ethiopia, Ghana, Kenya, Nigeria, and Uganda, often integrated within large-scale capacity-building and development projects.

• Statistical Machine Learning
• Signal Processing
• Data Fusion
• +۱۷ مورد دیگر

Salvo Rossi is a Full Professor of Statistical Machine Learning for Signal Processing at the Department of Electronic Systems, Faculty of Information Technology and Electrical Engineering, Norwegian University of Science and Technology (NTNU). He holds leadership roles as Deputy Director for Research and Deputy Manager of the Centre for Green Shift in the Built Environment. Additionally, he serves as a part-time Senior Research Scientist at SINTEF Energy Research. His work bridges academia and industry, with significant contributions to signal processing, machine learning, and IoT systems. Research Interests: Statistical Machine Learning Data Fusion in Wireless Sensor Networks Digital Twins and Industrial IoT Anomaly Detection and Fault Diagnosis Federated and Distributed Learning Graph Signal Processing His recent publications reflect a strong trend toward intelligent, distributed systems for industrial monitoring, particularly in energy and safety-critical environments. The integration of machine learning with signal processing for decision fusion in sensor networks is a central theme. Scientific Awards and Recognition: Exemplary Senior Editor, IEEE Communications Letters (2018) Department Ambassador, NTNU (2016) IEEE Senior Member (since 2011) Editorial and Professional Service: Senior Area Editor, IEEE Transactions on Signal and Information Processing over Networks (since 2025) Topical Editor, IEEE Sensors Journal (since 2022) Area Editor, IEEE Open Journal of the Communications Society (2019–2023) Executive Editor, IEEE Communications Letters (2019–2021) General Chair, IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), Trondheim, 2022 He has advised numerous PhD and master’s students (not explicitly listed), led major research projects in IoT and green energy, and contributed to national and international research initiatives. His lab, SPIN (Signal Processing Group), focuses on intelligent signal processing for real-world applications in smart environments and Industry 4.0.