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Helene Oppen Ingebrigtsen Gundhus serves as Head of Department at the Department of Criminology and Sociology of Law, Faculty of Law, University of Oslo, while maintaining a part-time professorship in police science at the Norwegian Police Academy (PHS). Her influential research examines the transformation of policing practices in the digital age, with particular expertise in migration control, predictive policing, and the sociological dimensions of security governance. Dr. Gundhus earned her PhD in criminology from the University of Oslo in 2006. From 2006 to 2016, she was employed at the Norwegian Police Academy's research department, where she was appointed professor of police science in 2013. Her academic journey reflects a deep engagement with both theoretical criminology and practical police science. Her research interests span policing and globalization, police-society relations, security and social control, crime prevention, and the intersection of knowledge, technology, and policing practices. Employing qualitative methods including discourse analysis and ethnography, she critically examines how digital technologies transform police work, particularly focusing on predictive policing, data-driven intelligence, and the impact of platformization on law enforcement. Her work reveals how risk assessment tools reshape migration control and contribute to the criminalization of vulnerable populations, with significant contributions to the field of 'crimmigration' studies. Analysis of her recent publications reveals a sophisticated examination of digital transformation in policing, with particular attention to algorithmic governance, platformization of police work, and the cultural dimensions of intelligence-led policing. Her research increasingly investigates how data integration platforms like Palantir are adopted (or resisted) in Scandinavian policing contexts, exploring the tension between data-driven approaches and traditional police cultures in societies characterized by high public trust. Radzinowicz Prize 2015 for the article "Policing Humanitarian Borderlands: Frontex, Human Rights and the Precariousness of Life" (co-authored with Professor Katja Franko) Dr. Gundhus supervises numerous master's students in criminology and currently mentors five PhD students. She has led significant research projects including the evaluation of the Coordination of Crime Prevention Measures (SLT), and serves as national team leader for comparative research projects such as 'Policing Streets of Europe' and 'Social Crime Prevention in Late Modern Europe.' Her current projects include 'Algorithmic Governance and Cultures of Policing,' 'Critical Understanding of Predictive Policing,' and 'Getting to the Core of Crimmigration.' She is actively involved in multiple research groups including the Police Intelligence group at PHS, the Law and Technology research group at the University of Oslo, and the Nordic Police Research Network. Her scholarly contributions extend to editorial roles with the European Journal of Policing Studies and leadership positions within the European Society of Criminology's Working Group on policing and Border Criminologies.

• Policing and Globalization
• Police and Society
• Security and Social Control
• +7 more

Kurusch Ebrahimi-Fard is a Professor in the Department of Mathematical Sciences at the Norwegian University of Science and Technology (NTNU) in Trondheim, Norway. He is an active member of the Differential Equations and Numerical Analysis (DNA) group at IMF-NTNU, with extensive international collaborations across Europe and North America. His research spans a remarkable breadth of mathematical disciplines, focusing on the surprising convergence of algebraic and combinatorial structures across seemingly disparate fields. His work bridges geometric integration methods, nonlinear control theory, rough paths theory, free probability theory, and perturbative quantum field theory. The common thread throughout his research is the central role of algebraic and combinatorial structures on graphs, partitions, and other combinatorial objects. Dr. Ebrahimi-Fard's recent publications reveal strong trends in the application of Hopf algebraic structures to probability theory and stochastic analysis, with significant contributions to understanding signatures in rough path theory and their applications to image analysis. His work consistently demonstrates how abstract algebraic structures can provide powerful tools for concrete problems in numerical analysis and mathematical physics. Juan de la Cierva fellowship Ramón y Cajal fellowship Fellow of the Studienstiftung des Deutschen Volkes Fellow of the Evangelisches Studienwerk e.V. Fellow of the German Academic Exchange Service (DAAD) Fellow of the European Post-Doctoral Institute (EPDI) Throughout his career, Dr. Ebrahimi-Fard has organized numerous international conferences and workshops, including the 18th Santaló Summer School on Algebraic and Combinatorial Methods in Stochastic Calculus. His editorial work includes special issues on theoretical and computational aspects of dynamical systems, non-commutative algebra, and algebraic structures in perturbative quantum field theory. He has also secured research funding through various grants including the BBVA Foundation Research Grants. Dr. Ebrahimi-Fard maintains active collaborations with researchers worldwide and participates in several research networks focused on the intersection of algebra, combinatorics, and mathematical physics. His work with the DNA group at NTNU continues to explore fundamental mathematical structures with applications across scientific disciplines.

• Numerical integration methods
• Nonlinear control theory
• Stochastic calculus
• +12 more

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.

• Hardware security
• Reverse engineering
• Smart grid cybersecurity
• +5 more

Sivakumar S A is a researcher actively contributing to the fields of low-power electronics and network security. His work spans affiliations with institutions such as Dr. N.G.P. Institute of Technology, Kalaignarkarunanidhi Institute of Technology, and Karpagam College of Engineering, focusing on cutting-edge applications in digital VLSI systems and wireless sensor networks. Research interests include: Low-energy operation in wireless sensor nodes Subthreshold circuit design for biomedical applications Energy-efficient security protocols for resource-constrained networks Optimization of firewall policies in wireless environments Recent publications highlight his expertise in subthreshold level shifters and energy-aware security frameworks. Notable journals include Analog Integrated Circuits and Signal Processing and Security and Privacy .

• Low-Power Electronics
• VLSI Design
• Network Security
• +2 more

Bjørn Solvang is a Professor in the Department of Industrial Engineering at UiT The Arctic University of Norway, campus Narvik. His research focuses on advanced manufacturing systems, robotics, and digital transformation in industrial contexts. His primary research interests include: Reconfigurable Manufacturing Systems Industry 4.0/5.0 Technologies Human-Robot Collaboration Digital Twins and Virtual Reality Applications Supply Chain Optimization Cognitive Infocommunication in Robotics He investigates how these technologies enhance flexibility, efficiency, and sustainability in manufacturing, particularly for small and medium enterprises (SMEs). Analysis of his recent publications reveals a strong trajectory toward smart manufacturing systems with increasing emphasis on Industry 5.0 principles. His work consistently addresses real-world industrial challenges through robotics integration, digital twin implementations, and AI-driven optimization, often involving European cross-organizational collaborations. Professor Solvang actively contributes to the ArcLog research group (Intelligent Manufacturing and Logistics) and the "Industry 5.0 enabled Smart Logistics" project. He has participated in multiple European cooperation initiatives providing educational frameworks for SMEs transitioning to advanced industrial paradigms. Based at Campus Narvik (room A4050), he maintains active industry engagement through research projects targeting practical manufacturing innovations and sustainable logistics solutions.

• Manufacturing Systems
• Robotics and Automation
• Industrial Engineering
• +3 more

Dogan Altan serves as a Postdoctoral Fellow at Simula Research Laboratory within the Department of Validation Intelligence for Autonomous Software Systems. His research focuses on developing artificial intelligence solutions for maritime safety and operational efficiency, leveraging advanced machine learning techniques to address complex vessel navigation and performance challenges. His primary research interests include maritime anomaly detection, vessel traffic prediction, and physics-informed neural modeling for shaft power optimization. Altan specializes in integrating sensor data, passage plans, and environmental features into deep learning frameworks to enhance predictive accuracy in maritime contexts. Key methodologies involve transfer learning, trajectory segmentation, and multi-stream anomaly identification systems applicable to both vessel operations and robotic manipulation. Analysis of his publication trends reveals a consistent focus on transforming maritime domain knowledge into robust AI frameworks. Recent work demonstrates innovation in temporal graph analysis for port classification, transformer-based waypoint detection, and physics-guided hybrid models that bridge engineering principles with neural network architectures. His contributions span theoretical algorithm development and practical implementations validated through real-world maritime datasets.

• Maritime Safety
• Deep Learning
• Anomaly Detection
• +3 more

Tereza Østbø Kuldova is a Research Professor and Research Director at the Work Research Institute, Centre for Welfare and Labour Research, Oslo Metropolitan University. Her interdisciplinary work bridges social anthropology, criminology, and cultural studies with a focus on power structures in contemporary society. Her research interests include: Algorithmic governance and workplace democracy Corruption, luxury, and ethics in global contexts Material culture, fashion, and consumption Crime, subcultures, and policing practices Digitalization and its societal impacts Kuldova's scholarly contributions reveal how seemingly disparate domains like luxury fashion, organized crime, and digital governance interconnect through shared cultural logics. She pioneered the concept of the 'compliance-industrial complex' and critically examines ethical frameworks in elite contexts. Her current research projects include DigiWork (digital transformation's impact on Nordic workplace democracy) and INSIDER (national security through private sector regulation). As founder and editor-in-chief of the Journal of Extreme Anthropology and the Algorithmic Governance Research Network, Kuldova has established important platforms for critical scholarship. She leads the project 'Luxury, Corruption and Global Ethics' funded by The Research Council of Norway (FRIPRO Young Talents 313004), which investigates why corruption persists globally despite universal anti-corruption efforts. Her extensive publication record demonstrates consistent engagement with theoretical innovation and empirical research across diverse cultural contexts from India to Scandinavia, with particular attention to how power operates through cultural practices and technological systems.

• Labour
• Crime
• Material Culture
• +24 more

Jan-Oddvar Sørnes is a Professor at Nord University's Bodø Graduate School of Business, Department of Management, holding a PhD in Industrial Economics and Technology Management from NTNU (2004). With continuous affiliation since 1992, he has served in multiple administrative capacities including pro-vice dean for research and program director for master's programs. His research centers on organizational communication , with empirical focus on ICT usage in organizations, energy management, Arctic storytelling, and spillover studies. Teaching specialties include qualitative methods at PhD/master levels, crisis leadership, international business, organizational communication, and media handling. Analysis of his 15 most recent publications reveals evolving research trajectories: early work on ICT adoption (2008-2015) shifted toward crisis communication (2020-2023), with recent emphasis on whistleblowing systems (2025) and epistemic uncertainty in megaprojects. Key thematic threads include organizational storytelling frameworks, Arctic resource narratives, and psychological safety in emergency contexts. 2025: Whistleblower anonymity systems in national lottery context 2025: Epistemic uncertainty modeling in megaprojects 2023: Emergency medical call center communication dynamics 2023: Business mindset development in project front-ends 2022: Psychological safety in crisis training contexts Sørnes maintains strong international research collaborations, particularly with US institutions, evidenced by co-authored works on organizational communication and technology. His field research in Arctic regions involves narrative analysis of petroleum industry transitions and indigenous cooperation models.

• Organizational Communication
• ICT in Organizations
• Energy Management
• +4 more

Wenhao Li is an Assistant Professor of Finance and Business Economics at the University of Southern California Marshall School of Business. He is also a Faculty Research Fellow at the National Bureau of Economic Research (NBER) in the Asset Pricing program. His academic appointment and research affiliations position him at the forefront of research at the intersection of macroeconomics and finance. Professor Li's research focuses on critical questions at the nexus of government policy and financial markets. His work examines how government debt is priced and how government debt supply affects the financial sector and real economy. He also investigates the mechanisms of financial crises and the roles of government and central bank interventions. His research methodology combines economic modeling, including continuous-time general equilibrium models, with empirical analysis on time-series and panel data. Professor Li's recent publications demonstrate a consistent focus on Treasury markets, financial frictions, and systemic risk. His work spans topics from Treasury supply effects on bank deposits to firm quality dynamics in credit interventions, and from granular Treasury demand to the relationship between inflation and Treasury convenience. This body of work reveals a researcher deeply engaged with policy-relevant questions in macro-finance, using both theoretical and empirical approaches to address important economic issues. Professor Li has presented his research at numerous prestigious venues including NBER conferences, Federal Reserve seminars, and leading university finance departments worldwide. His affiliation with NBER as a Faculty Research Fellow represents a significant recognition of his contributions to the field of asset pricing. Professor Li earned his PhD in Finance from Stanford Graduate School of Business (2014-2019) and has established himself as a productive researcher with multiple working papers addressing fundamental questions in macro-finance.

• Macroeconomics
• Finance
• Asset Pricing
• +6 more

Sanjeevikumar Padmanaban is a Full Professor in Electrical Power Engineering at the Department of Electrical Engineering, Information Technology and Cybernetics, University of South-Eastern Norway, within the Faculty of Technology, Natural Sciences and Maritime Sciences at the Porsgrunn campus. He also serves as a Visiting Professor at Universiti Tenaga Nasional, Malaysia (2023-2025) and as Project Head at Ohm Technologiees R&D in India. Professor Padmanaban is a Distinguished Lecturer of the IEEE Systems Council on Power Electronics in Renewable Energy System & Electric Vehicles and a Senior Member of IEEE since 2015. Professor Padmanaban's research focuses on Power Electronics Applications to Smart Energy Systems, particularly Renewable Energy Integration (Wind Energy, Photovoltaics, Fuel Cell), Electric Vehicle Applications and Control Schemes, Battery Management Systems, and the design of conventional and multilevel inverters. His work spans from theoretical development to practical implementation of power electronic converters for renewable energy systems and electric vehicle applications. He has made significant contributions to multiphase AC drives, space vector techniques for modeling, and switching loss reduction methods in power converters. With over 1,160 publications and nearly 1 million reads on ResearchGate, Professor Padmanaban demonstrates exceptional research productivity and impact. His recent work shows a strong emphasis on renewable energy integration, electric vehicle charging systems, smart grid technologies, and advanced control strategies for power systems. The publications reflect a consistent focus on practical solutions for energy challenges, with particular attention to photovoltaic systems, wireless power transfer, and microgrid control under high renewable penetration. Fellow of the Institution of Engineers, India (FIE) Fellow of the Institution of Electronics and Telecommunication Engineers, India (FIETE) Fellow of the Institution of Engineering and Technology, U.K. (FIET) Lifetime achievement award from Marquis Who's Who - USA 2017 Multiple best paper awards from IET and IEEE conferences Listed among the world's top 2% scientists by Stanford University since 2019 Professor Padmanaban actively supervises Master's thesis projects on Power Electronics, renewable energy systems, and their applications to Electric Vehicles and Grid Connected Systems. His extensive editorial work, including roles with IEEE Transactions on Industry Applications and other prestigious journals, demonstrates his leadership in the field. His research has significant practical applications in renewable energy integration, electric vehicle technology, and smart grid development, addressing critical challenges in the global transition to sustainable energy systems.

• Power Electronics
• Renewable Energy Systems
• Electric Vehicles
• +7 more

Jon Øivind Hoem is Professor at the Department of Art, Western Norway University of Applied Sciences (HVL) in Bergen, where he leads the Materiality, Technology and Sustainability (MaTecSus) research group. His practice-based research bridges digital media with physical materials through spatial installations, with significant focus on art and crafts education. Contactable via +47 55 58 57 12, he actively teaches Master's level courses including MGUKH550 (Master's thesis supervision) and serves as course responsible for MGUKH503 (Aesthetics in Practice and Theory). Hoem's research centers on material-digital hybridity , exploring how AI and sensor technologies can enhance traditional craft practices while addressing sustainability. Current projects include AI-teach (developing teacher educators' AI competence), Sonic Greenhouse (a solar-powered digital acoustic instrument using reclaimed materials), and Zosimos (a telematic opera connecting performers across networks). His work consistently examines how technology mediates human-material relationships in creative processes, with strong emphasis on environmental responsibility and collaborative knowledge production. His 2024 publications reveal a cohesive trajectory in spatial-digital art forms , moving from individual installations (Shadows of an Icebound Dream) toward collective, networked practices (Kollektiv estetikk, Zosimos). This evolution demonstrates increasing focus on distributed creation, where artworks exist as evolving systems rather than fixed objects – particularly evident in locative sound works like Sonus that transform urban spaces into participatory instruments. Hoem's recognition as a Merited Teacher (2025) highlights his innovative pedagogy, where students co-develop tools like the AI-teach platform. This award reflects his commitment to making emerging technologies accessible within art education frameworks. As supervisor, Hoem maintains active mentorship through Master's thesis guidance and project-based learning in MaTecSus. His current grants provide students with specialized resources for digital fabrication and networked performance, while collaborations with Lydgalleriet and BIT20 Ensemble offer professional exhibition pathways. The research group functions as an open studio where technical experimentation serves artistic inquiry rather than vice versa. The MaTecSus lab operates as a material innovation hub , featuring workshops for physical computing, sound engineering, and sustainable material processing. Its 'open prototype' philosophy encourages sharing of experimental setups like the modular Sonic Greenhouse components, fostering cross-project pollination where solutions from one installation (e.g., sensor networks for Pappelonia) inform others (Zosimos' telematic systems).

• Art and Crafts
• Digital Media
• Spatial Installations
• +2 more