Professor Shujun Zhang is a faculty member at the Department of Computer Science, Electrical Engineering and Mathematical Sciences, Western Norway University of Applied Sciences (HVL). He specializes in power electronics, electric drives, and microgrid systems with applications in maritime engineering, renewable energy, and battery technology. His work bridges academia and industry through collaborative projects and technical consultancy. Power Electronics Electric Drives Microgrid for Maritime Systems Renewable Energy Integration Digital Real-Time Control Systems His research focuses on developing state-of-the-art power conversion systems, including modular multilevel converters and hybrid propulsion systems. He leads projects with industry partners like Siemens Bergen and Norwegian Electric Systems AS, emphasizing hardware-in-the-loop testing and embedded programming. Recent publications highlight applications of power electronics in electric ferry charging systems, DC/AC converter design, and stability analysis of hybrid microgrids. His lab features advanced equipment: Modular Multilevel Converter Prototypes Typhoon HIL 604 DSP/FPGA Boards Permanent Magnet and Induction Motors Basic Line HIL Machines
Geir Mathisen serves as a Professor within the Department of Technical Cybernetics, Faculty of Information Technology and Electrical Engineering at the Norwegian University of Science and Technology (NTNU). He is an active member of the Group for Industrial Computer and Instrumentation Systems, focusing on real-time systems integration and cyber-physical applications across industrial and energy domains. His educational background includes a Civil Engineering degree and a Doctorate (PhD), both earned from NTNU's Department of Technical Cybernetics, establishing foundational expertise in control systems and technical cybernetics. Professor Mathisen's research spans cyber-physical systems, deterministic networking, and distributed real-time systems with significant applications in smart grids and industrial automation. His work pioneers magnetic field energy harvesting for railway systems, edge-based fault detection for photovoltaic panels, and multi-robot coordination in sewing automation. Current investigations focus on power system state estimation, optimal power flow in smart grids, and deterministic communication channels for latency-sensitive applications. Analysis of his 2020-2024 publications reveals a strategic convergence of real-time computing with energy systems, particularly in railway energy harvesting and photovoltaic monitoring. His research consistently bridges theoretical advances in networking protocols with practical industrial implementations, emphasizing determinism and composability in distributed cyber-physical environments. Scientific Awards: No specific awards or fellowships were documented in the provided materials. Professor Mathisen actively supervises doctoral and master's students, including Johannes Schrimpf (2013 PhD thesis on industrial robot control), and offers project assignments as noted for fall 2021. His research is conducted through Norwegian collaborative projects on flexible distribution grids and smart grid services, though specific grant mechanisms remain unspecified in the source material. He contributes significantly to the Group for Industrial Computer and Instrumentation Systems at NTNU, which develops advanced solutions for industrial control, measurement systems, and cyber-physical integration, particularly in energy and manufacturing contexts.
Magne Hillestad serves as a Professor in the Department of Chemical Engineering within the Faculty of Natural Sciences at the Norwegian University of Science and Technology (NTNU). His academic profile centers on systematic process design methodologies, advanced process modeling and simulation, and model predictive control applications for chemical systems. He actively teaches core chemical engineering courses including TKP4165 Process Design, TKP4170 Process Design Project, and specialized sustainable process design modules. His research spans chemical process design, CO2 capture technologies, biomass conversion pathways, Fischer-Tropsch synthesis optimization, membrane separation systems, and sustainable chemical process development. Specific interests include synthesis gas production from diverse feedstocks (natural gas, coal, biomass), methanol/DME synthesis, polymer production, and carbon-efficient reactor design. His work integrates mathematical modeling with practical process optimization to address industrial-scale challenges in energy transition. Analysis of his 2021-2025 publications reveals dominant research trends in sustainable fuel production, particularly biomass-to-liquid and power-to-liquid processes, CO2 utilization pathways, and techno-economic optimization of integrated energy systems. His work consistently emphasizes carbon efficiency improvements through reactor staging, hybrid energy integration, and advanced separation technologies, with strong focus on economic viability alongside environmental performance. No scientific awards were documented in the provided source material. While specific student advising details remain unreported, Professor Hillestad's extensive publication record indicates active mentorship of graduate researchers through collaborative projects. His teaching portfolio demonstrates direct involvement in training next-generation chemical engineers in process design fundamentals. Research activities appear integrated within NTNU's Department of Chemical Engineering infrastructure, leveraging competencies in conceptual process design, chemical process modeling, and systematic reactor optimization for sustainable industrial applications.
Meysam Aboutalebi is a Doctoral Research Fellow at the Department of Technology Systems, University of Oslo. He holds master's and bachelor's degrees in Electrical Engineering - Power Systems. His research focuses on developing optimization frameworks for integrating cross-disciplinary aspects into technical facets of P2P electricity trading in distribution networks, with an emphasis on resilience and smart grid technologies. Education: Master's Degree in Electrical Engineering - Power Systems Bachelor's Degree in Electrical Engineering - Power Systems Research Interests: Meysam's work spans smart grid technologies, peer-to-peer energy trading, demand-side management, distributed generation optimization, system resilience, and electricity market dynamics. His current project, WP4 of the PriTEM initiative, emphasizes cross-disciplinary integration in P2P trading frameworks. Projects and Affiliations: He is actively involved in the Privacy preserving Transactive Energy Management (PriTEM) project and contributes to the Energy Systems Modelling Group and Section for Energy Systems. His research bridges technical systems with broader energy market challenges.
Habtamu Bayera Madessa is an Associate Professor at the Department of Built Environment, Faculty of Technology, Art and Design at Oslo Metropolitan University. His research focuses on energy efficiency, thermal comfort, building physics, and sustainable building technologies. He is a core member of the Sustainable Built Environment (SustainaBuilt) research group. Habtamu has contributed to over 34 scientific publications, 1 textbook, and multiple research reports. His work addresses topics such as net-zero energy buildings, district heating optimization, renewable energy integration, and building automation. Key areas include tropical climate adaptation for energy systems, energy monitoring in Norway, and BIM-based sustainable design practices. His research combines experimental studies (e.g., viscosity analysis of scale inhibitors, PCM-enhanced materials) with numerical modeling (CFD for ventilation systems) and systems integration (smart buildings, ground-source heat pumps). He has collaborated on projects ranging from micro-hydropower systems to lifecycle analysis of building retrofits. Notable publications include a 2025 review on net-zero-energy buildings in tropical climates and a 2024 study on district heating return temperature reduction strategies. His textbook Fornybar Energi (2024) provides foundational knowledge on renewable energy systems.
Kamil Mustafa Dursun is a Professor at the Department of Engineering at the University College of Southeast Norway. He has served as the Dean of the Department of Engineering and Science from 2013 to 2017 and held the position of Associate Professor from 2010 to 2013. His academic interests include Power Engineering, Electrical Machines, Network Protection, and Energy, with a focus on renewable energy systems and smart grids. Prior to his academic roles, he worked at ABB in various leadership positions, including Development Engineer, Head of the High Voltage Laboratory, and Vice President Technology. His career also includes international project management in cleaner production and energy efficiency. He currently teaches courses such as Electrical Systems and Machines and Power Electronics and Relay Protection . His research focuses on transformer design, microgrid integration, energy efficiency, and sustainable power systems. Notable projects include studies on harmonic losses in transformers and the implementation of AC/DC microgrids using renewable energy sources. Dr. Dursun has contributed to over 20 publications, including peer-reviewed articles and conference proceedings. His work emphasizes practical applications in power systems, energy conversion, and sustainable energy solutions.
Kjell Gunnar Robbersmyr is a Professor at the University of Agder's Department of Engineering Sciences and director of the Top Research Center in Mechatronics. With a Ph.D. in mechanical engineering from NTNU (1992), his career spans academic leadership, research management at Agder Research, and active contributions to IEEE. His work focuses on mechatronics, machine design, and condition monitoring, with special emphasis on fault diagnosis in electric motors and vehicle crash modeling. Senior Member of IEEE Member of Norwegian Academy of Technical Sciences Member of Agder Academy of Sciences Research interests include: Advanced fault diagnosis in electric drives using AI and signal processing Vehicle crashworthiness modeling with lumped parameter and finite element methods Optical measurement technology for machine monitoring Digital twin applications for infrastructure and wind energy systems Condition monitoring of low-speed bearings and rotating machinery Recent publications demonstrate expertise in: Deep learning for imbalanced motor fault datasets Transformer networks in power electronics diagnostics 3D reconstruction techniques for mechanical systems Multi-classifier decision fusion in power systems Dynamic operations modeling for electric vehicles Scientific contributions include: Over 50 peer-reviewed articles Leadership in the Intelligent Monitoring research group Development of novel inverter topologies Innovations in wind turbine condition monitoring Advancements in laser-based mechanical diagnostics
Thomas Erich Zinner is Professor at the Department of Information Security and Communication Technology, Norwegian University of Science and Technology (NTNU), a position held since August 2019. Previously, he served as visiting professor and head of the FG INET research group at TU Berlin, and led the 'Next Generation Networks' research group at the University of Würzburg's Communication Networks chair. His educational background includes a diploma (2006) and Ph.D. (2012), both from the University of Würzburg. His research spans network architecture performance evaluation with emphasis on SDN/NFV and QoE-centric management approaches for emerging networks. Zinner's recent publications reveal strong trends toward intelligent 6G architectures integrating AI in the user plane, QoE-aware 5G resource allocation, and autonomic management of softwarized networks. His work combines theoretical modeling, simulation frameworks like OMNeT++, and practical implementations focused on real-world applicability in beyond-5G systems. He leads the Networking Research Group at NTNU working on the TeraFlow project, developing secure cloud-native SDN controllers for autonomic traffic management at massive scale. This initiative addresses critical challenges in next-generation network infrastructure through innovative controller architectures and flow management techniques.
Erika Maelan Graham-Goering is an Associate Professor in the Department of History within the Faculty of Humanities at the University of Oslo. Her academic career spans multiple prestigious institutions across Europe, including Durham University in England where she served as Lecturer in Late Medieval History (2021-2023) and Ghent University in Belgium where she held positions as FWO Senior Postdoctoral Fellow (2020-2023) and ERC Postdoctoral Research Fellow (2016-2020) working on projects related to lordship and state formation in medieval Europe. Dr. Graham-Goering received her educational foundation through a BA (honors) in History with Medieval and Renaissance Studies from Grinnell College (USA) in 2010, followed by an MA (distinction) in Medieval Studies from the University of York (UK) in 2012, and ultimately a PhD in History from the University of York in 2017. Her research focuses on the complex dynamics of power in late medieval France, particularly during the first half of the Hundred Years' War (c. 1337-1453). Graham-Goering examines how both women and men navigated aristocratic power structures, challenging simplified views of medieval politics. Her groundbreaking work on Duchess Jeanne of Brittany demonstrated how princely power depended on flexibility in adapting to contradictory demands rather than merely imitating royal authority. She has expanded this research to examine regional profiles of lesser aristocracy across France, particularly in Languedoc, arguing that local lordship remained crucial even as European kings supposedly centralized power. Currently, Graham-Goering is pioneering research on 'co-lordship,' investigating how multiple lords shared authority within the same territory. She challenges the traditional assumption that fragmented power was disadvantageous, instead arguing that collective authority served the complex needs of local elite families. Her methodology combines traditional archival research with innovative digital approaches for quantitative and spatial analysis, enhancing our understanding of lordship as the fundamental basis of power in medieval Europe. Gladstone Book Prize (runner-up), Royal Historical Society, 2021 Senior Postdoctoral Fellowship, Research Foundation – Flanders, 2020 Overseas Research Scholarship, University of York, 2012 Graham-Goering actively mentors the next generation of historians, having co-supervised doctoral theses at Ghent University including Ysaline Bourgine de Meder's 'Lords and Lordship in the Bailliage of Caen, 1400–1552' and Gert-Jan Van de Voorde's 'Lords and Lordship in Languedoc (1400–1541).' Her research has been supported by significant grants including the ERC-funded project 'Lordship and the Rise of States in Western Europe, 1300-1600' and the FWO project 'Lordship as Corporative Government across Late Medieval France.' As an engaged academic citizen, Graham-Goering serves as Associate Editor for French History, is a Fellow of the Royal Historical Society (2021), sits on the Editorial Board of the Proceedings of the Harvard Celtic Colloquium, and is a member of the Society for the Study of French History. Her expertise has been sought by media outlets including BBC Radio 4 for the program 'In Our Time: The Battle of Crécy' and the University of Oslo's Humanities Faculty for discussions on medieval women's power.
Thomas Erich Zinner is a Professor at the Department of Information Security and Communication Technology (IIK) at the Norwegian University of Science and Technology (NTNU). He leads the Networking Group@IIK and has held roles including Head of the FG INET at TU Berlin and Head of the Next Generation Networks group at the University of Würzburg. He earned his diploma (2006) and PhD (2012) from the University of Würzburg. His research focuses on network eco-systems, performance evaluation of SDN/NFV architectures, QoE-centric management, and 5G/6G innovations. Key projects include TeraFlow, aiming to revolutionize SDN traffic management in beyond 5G networks. His work bridges network technologies, applications, and protocols, emphasizing optimization for emerging paradigms like software-based networking and adaptive video streaming. Recent publications address AI integration in 6G, 5G NR performance, and QoE-aware network slicing. He collaborates internationally, publishing in venues like IEEE Transactions and CNSM. His research addresses challenges in network determinism, inter-domain connectivity, and geo-distributed analytics.
Paal Engelstad is a Professor at the University of Oslo, affiliated with the Section for Autonomous Systems and Sensor Technologies at the Institute of Transport Economics (ITS). He holds a full-time academic position. His research focuses on machine learning, wireless communications, renewable energy systems, and network security, with applications in IoT, reinforcement learning, and graph neural networks. His work addresses challenges in energy forecasting, autonomous systems, and secure information exchange. Key research interests include: Deep learning for solar and wind energy forecasting Graph neural networks and their applications in recommendation systems and network analysis Non-orthogonal multiple access (NOMA) in IoT and wireless networks Reinforcement learning for autonomous systems and control Security classification and anomaly detection in networks His recent publications highlight contributions to probabilistic solar irradiance forecasting, graph-based wind prediction models, and reinforcement learning algorithms for autonomous vehicles. He collaborates extensively with international researchers and has led projects like DESSI (Distributed Energy System and Security Infrastructure). Engelstad is involved in the following initiatives: Development of secure cross-domain information exchange frameworks Advances in energy-efficient IoT and sensor networks Applications of machine learning in cybersecurity and network optimization His research lab focuses on interdisciplinary solutions bridging transport economics, energy systems, and intelligent sensor technologies.
Anna Stuhlmacher is an Assistant Professor in the Department of Electrical and Computer Engineering at Michigan Technological University, specializing in power systems research with emphasis on distributed energy resources and infrastructure coordination. Education: Ph.D. in Electrical Engineering, University of Michigan M.S. in Electrical Engineering, University of Michigan B.S. in Electrical Engineering, Boston University Her research explores optimization of uncertain distributed energy resources (DERs) including distributed generation, storage, and flexible loads to provide grid flexibility. She investigates the modeling and optimization of interactions between power systems and other infrastructure sectors such as drinking water, wastewater treatment, and agricultural systems. Her work addresses critical challenges in integrating renewable energy resources while maintaining grid stability. Recent publications demonstrate her focus on agrivoltaics (co-locating photovoltaic panels and crops), particularly optimizing dual-axis solar panel operations to balance energy production with crop requirements. This research provides valuable insights for grid integration of agrivoltaic systems as flexible resources. Dr. Stuhlmacher previously interned at the National Renewable Energy Laboratory (NREL) and maintains active research tools including computational repositories for upper atmosphere modeling (pyglow) and ionosphere research (iri). At Michigan Tech, she teaches power systems courses within a program known for strong industry connections with utility companies. Student Advising: While not actively seeking graduate students for the 2025-26 academic year, she remains open to working with exceptional graduate students possessing strong foundations in power systems and mathematics. She encourages Michigan Tech undergraduates interested in research to contact her directly and requests that prospective graduate students include specific information in their initial communications.
Lars Magne Lundheim is a Professor at the Department of Electronics and Telecommunications, Norwegian University of Science and Technology (NTNU). Holding a doctorate in Electrical Engineering, he contributes to signal processing research and pedagogical innovation in engineering education. His work spans telecommunications, microgrid technology, and educational reform through project-based learning frameworks. Academic Affiliation: NTNU Research Focus: Signal Processing, Sustainable Engineering Education His publications analyze curriculum integration, mathematical foundations in engineering, and sustainable practices. Recent studies explore EEG source reconstruction and harmonics modeling in microgrids. Lundheim actively engages in disseminating findings through conferences and journals, emphasizing student socialization and creative confidence in STEM. Key trends in his research include: Development of competency-based sustainability education Optimization of wireless communication systems Mathematics-engineering interdependencies Low-density EEG channel selection
Veronique Isabelle Claire Pouillard is a Professor of Modern History at the University of Oslo, specializing in economic history, colonial history, and intellectual property rights in creative industries. She co-edited The Oxford Handbook of Luxury Business (2021) and authored Paris to New York: The Transatlantic Fashion Industry in the Twentieth Century (2021). Her current ERC-funded CREATIVE IPR project (2019-2025) examines the history of intellectual property in cultural sectors. Academic Appointments : Professor, Department of History, University of Oslo (2017–) Associate Professor, University of Oslo (2011–2017) Associate Professor, Université Libre de Bruxelles (2009–2011) Education : PhD, History, Université Libre de Bruxelles (1999–2003) M.A., History and Philosophy, Université Libre de Bruxelles Research Focus : Pouillard's work bridges fashion history, luxury business dynamics, and colonial/post-colonial legal frameworks. Her publications explore transatlantic fashion, IP rights in creative industries, and the intersection of colonialism with cultural production. Recent articles address advertising in colonial Congo, IP societies in decolonizing Congo, and luxury licensing beyond Paris/New York. Scientific Awards : ERC Consolidator Grant 818523 (2018) Prize of the Académie Royale de Belgique (2005) Member, Det Norske Videnskaps-Akademi (2021–) Grants & Projects : CREATIVE IPR (ERC-funded, 2019–2025) HERA II 'The Enterprise of Culture' (2013–2016) Nordic Branding (2016–2019)
Paolo Giovanni Piacquadio is an Associate Professor at the University of Oslo's School of Economics and Political Science, within the Department of Economics. His research focuses on bridging welfare economics and public economics, particularly in distributive justice and optimal taxation frameworks. He leads the ESOP Centre for Equality, Social Organization, and Performance and coordinates the TaxFair project on fair taxation systems. Piacquadio holds a PhD in Economics from Université catholique de Louvain (2008-2013). Education: PhD in Economics from CORE/IRES, Université catholique de Louvain, Belgium (2008-2013) Research Interests: Microeconomic Theory, Public Economics, Environmental Economics, Intergenerational Equity, and Policy Design His work emphasizes ethical dimensions of economic policies, including intergenerational risk allocation and equity-efficiency trade-offs. Recent research explores fairness criteria in social welfare functions and the distribution of opportunities. Piacquadio’s projects include ERC-funded VALURED (justice principles in taxation) and TaxFair (empirical taxation analysis). His publications span topics like voluntary power transitions, institutional change, and climate policy. He collaborates with institutions such as the Research Council of Norway and co-organizes the Normative Economics & Economic Policy webinar series. Piacquadio is affiliated with the CREE Center for Environmentally Friendly Energy and INSIST project on inequality and crisis management.
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