Kyrre Begnum is an Associate Professor at OsloMet – Oslo Metropolitan University, affiliated with the Faculty of Technology, Art and Design through the Department of Computer Science. His research spans cloud computing, cybersecurity, and software engineering, with a focus on virtual machine management, intrusion detection, and autonomic systems. Cloud Computing Cybersecurity Software Engineering Machine Learning Data Center Management His recent publications emphasize adversarial machine learning in security, affinity-aware scheduling for cloud efficiency, and network optimization in virtualized environments. While no formal awards are documented in the provided texts, his work demonstrates technical innovation in distributed systems and educational applications of virtualization technology.
Anis Yazidi is an Associate Professor at the Department of Informatics, Faculty of Mathematics and Natural Sciences, University of Oslo, where he leads research in the Research Group for Digital Signal Processing and Image Analysis. His academic profile demonstrates significant contributions to artificial intelligence, machine learning, and signal processing with over 50 publications between 2021-2025 in high-impact venues including IEEE Transactions, Frontiers journals, and AAAI proceedings. Professor Yazidi's research spans multiple interconnected domains with particular emphasis on Tsetlin Machines, deep learning for medical applications, and signal processing theory. His work bridges theoretical foundations with practical implementations, developing novel frameworks like DREAMS for EEG analysis with model card reporting and interpretable methods for ECG classification. His contributions to learning automata theory, particularly in convergence analysis of Tsetlin-based algorithms, represent significant theoretical advances. The research portfolio also extends to cybersecurity applications of AI for IoT protection, agricultural technology for plant disease detection, and renewable energy modeling for wind-speed statistics. Yazidi's publication record reveals a strong interdisciplinary approach, with collaborations across computer science, neuroscience, medical diagnostics, and engineering disciplines. His recent work shows increasing focus on trustworthy AI systems, ethical considerations in medical applications, and specialized neural architectures tailored for specific data modalities including EEG, ECG, and eye-tracking data. The research demonstrates both theoretical rigor in algorithm development and practical implementation for real-world problems. Professor Yazidi maintains an active collaboration network with researchers across the Department of Informatics at UiO, particularly with Pedro Lind, Hugo Lewi Hammer, and Paal Engelstad, while also engaging in international collaborations. His work contributes significantly to both the theoretical foundations of learning systems and their practical implementation in diverse application domains from healthcare to renewable energy.
Gebremariam Assres is an Associate Professor at Kristiania University College's School of Economics, Innovation and Technology, specializing in software engineering, human-computer interaction, intelligent systems, and cybersecurity. His research spans IoT, machine learning, mulsemedia, and secure computing applications in healthcare and education. B.Sc. and M.Sc. in Computer Science from Addis Ababa University Ph.D. in Information Technology (Software Engineering) from Addis Ababa University 20+ years of teaching and research experience His work focuses on software development frameworks, telemedicine, and multisensory media. Recent publications address AI-enabled vulnerability detection, ML software engineering challenges, and telemedicine architecture reviews. Dr. Assres supervises bachelor's and master's students, teaches cybersecurity and software architecture courses, and contributes to open-source educational materials via public repositories. Labs/Teams: Mobile Technology Lab at Kristiania University College
Crystal Chang Din is an Associate Professor at the Department of Informatics, University of Bergen. Her research focuses on formal methods, software verification, and didactics. She has organized conferences such as the KeY Symposium 2023 and served as PC Chair for FTfJP 2025. Her work includes developing verification tools like KeY-ABS and exploring concurrency semantics in programming languages. She teaches courses including INF113 (Operating Systems) and INF100 (Introduction to Programming). Notable contributions include modular reasoning systems for code reuse and runtime enforcement frameworks. She advises master’s students such as Eirik Halvard Sæther and Ida Sandberg Motzfeldt. Her publications span topics like feature model evolution, deadlock detection, and concurrent programming semantics. She has contributed to international journals like Formal Aspects of Computing and conferences such as NWPT and iFM. Her research emphasizes practical applications in distributed systems and formal verification techniques.
Filip Holik is an External Associate Professor at the Department of Information Security and Communication Technology at NTNU (Norwegian University of Science and Technology). His expertise spans cybersecurity, communication networks, software-defined networking, and smart grid technologies. He contributes to programmable data plane research and has roles in supervision support and teaching digital security practices. Competencies include Cisco systems, cybersecurity frameworks, and smart grid simulation model development. No specific scientific awards or grants are listed in the provided text. Advising activities are noted but without student names. His work intersects with practical applications in digital security instruction and network infrastructure.
Vasileios Gkioulos is a Professor at the Department of Information Security and Communication Technology, Faculty of Information Technology and Electrical Engineering, Norwegian University of Science and Technology (NTNU). His research focuses on cybersecurity for critical infrastructures, particularly in maritime and energy systems, with significant contributions to digital twins, threat modeling, and security policy frameworks. His work includes developing cybersecurity training programs, analyzing maritime navigation system vulnerabilities, and integrating safety-security co-engineering methodologies. He leads the Critical Infrastructure Security and Resilience group and has published extensively on topics like cyber-physical ranges, secure autonomous ship architectures, and wireless security testbeds. Recent articles explore digital twin applications for threat modeling, DevSecOps in critical infrastructure risk management, and modular maritime cybersecurity training. His research also addresses social robots in public spaces, emphasizing business-system-security interdependencies and privacy protection. Professor Gkioulos collaborates with institutions globally, co-authoring publications with researchers like Sokratis Katsikas, Habtamu Abie, and Sandeep Pirbhulal. His work spans journals such as International Journal of Information Security , Journal of Marine Science and Engineering , and Computers & Security , alongside conference proceedings and technical reports.
Henrique Murilo Gaspar is a Professor at the Department of Ocean Operations and Civil Engineering , Norwegian University of Science and Technology (NTNU) in Ålesund, Norway. His academic role is connected to the Ship Design Chair under the Maritime Knowledge Hub sponsored by Ulstein Group (2013-2018). He teaches courses in Systems Engineering , Maritime Operations , and Computer-Aided Engineering , while supervising over 30 MSc candidates and 6 PhD students. Coordinates the SEUS - Smart European Shipbuilding EU Horizon project Developed the open-source Vessel.JS library for maritime simulations Active in digital twin and web-based ship design research His research spans offshore wind turbine manufacturing , agile shipbuilding , and open-source tools for maritime digitalization. He has led multiple projects including EDIS , NTNU EMIS , and Future Barge with AKVA Group. Gaspar previously served as Deputy Leader for NTNU's PhD Program in Nautical Operations and coordinates the Ship Design and Operations Lab (since 2014) and Fablab NTNU (2016-2018).
Hans Arthur Solli-Sæther is a Professor in the Department of International Business at the Faculty of Economics and Management, Norwegian University of Science and Technology (NTNU). He served as Head of Department from 2017 to 2023 and has held visiting positions at ESDES Business School in Lyon, France, and Politecnico di Milano, Italy. His academic work bridges strategy, international business, and digital transformation. Research Interests: Hans Solli-Sæther's research focuses on multinational enterprises, mergers and acquisitions, global value chains, offshoring and backsourcing, digitalization of value creation, and information systems management. He explores how organizations manage knowledge, trust, and integration in global operations and digital platforms. Publication Trends: His recent publications (2019–2024) reveal a consistent focus on global sourcing strategies, particularly backshoring and offshoring dynamics, digital transformation in public and private sectors, and the organizational implications of IT value realization. His work appears in high-impact journals such as MIS Quarterly , Global Strategy Journal , and European Journal of International Management , reflecting interdisciplinary engagement with strategy, information systems, and operations. Scientific Awards: No specific awards or fellowships were mentioned in the provided text. Advising and Grants: Hans Solli-Sæther has supervised or collaborated with numerous researchers, some of whom may be his advisees. He has secured research funding from the Research Council of Norway (RCN), Regional Research Fund, and Norwegian industry partners. His projects include the Semicolon project on public sector interoperability (2007–2013). He has also contributed to executive education programs for Norwegian industry and public sector organizations. Labs and Research Teams: While specific lab names are not mentioned, Solli-Sæther is deeply involved in research on digital platforms, global operations, and public sector innovation. He collaborates extensively with colleagues such as Jan Terje Karlsen, Kim van Oorschot, Leif Skiftenes Flak, and Petter Gottschalk, indicating strong research team engagement in areas of IT governance, knowledge management, and strategic sourcing.
Hanno Langweg serves as Associate Professor in the Department of Information Security and Communication Technology at the Norwegian University of Science and Technology (NTNU), based at the Gjøvik campus. His academic activities are deeply integrated with the COINS Research School of Computer and Information Security, a national consortium led by NTNU that unites Norway's major universities in cybersecurity research and doctoral training. Langweg's research centers on practical security vulnerabilities and compliance frameworks. His work extensively analyzes difficult-to-detect code patterns for SQL injection and cross-site scripting, develops forensic readiness methodologies, and bridges legal requirements like GDPR with technical security implementations. Recent publications demonstrate consistent focus on automated vulnerability injection, stakeholder-driven security requirements, and forensic evidence collection systems. His publication trends reveal sustained contributions across three interconnected domains: vulnerability pattern analysis (particularly in PHP and browser contexts), forensic readiness tooling (including kernel tracing and event reconstruction), and regulatory compliance engineering (GDPR, Common Criteria). This triad reflects both technical depth in code-level security and strategic understanding of legal-technical intersections. Langweg actively contributes to the academic community through conference organization (Sicherheit series) and teaching courses including Software Security (IIKG2001) and Information Security Summer School (IMT6003). His collaborations span multiple institutions with frequent co-authorship patterns involving Schuckert, Katt, and Liao. Within the COINS Research School framework, Langweg supports Norway's cybersecurity research ecosystem that now exceeds 100 doctoral students. His work directly enables the school's mission of integrating national research groups, enhancing student mobility, and establishing international recognition in information security.
Andrii Shalaginov is a Professor in Cyber Security at Kristiania University of Applied Sciences, School of Economics, Innovation and Technology. He leads the Smart Security Lab with a research focus on applying artificial intelligence for cybersecurity, detection of computer viruses, network attacks and protection of Internet of Things devices. Dr. Shalaginov holds a PhD in Information Security from the Norwegian University of Science and Technology (NTNU), where he worked with digital forensics at the Center for Cyber and Information Security (CCIS). His research spans multiple critical areas of modern cybersecurity with a particular emphasis on Internet of Things security , machine learning applications for threat detection, and digital forensics . He has developed expertise in intelligent malware detection systems, network security for smart environments, and forensic analysis of IoT devices. His work bridges theoretical computer science with practical security implementations for real-world systems. Analysis of his recent publication trends (2022-2025) reveals a strong focus on AI-enabled security solutions for IoT ecosystems, vulnerability detection frameworks, and resource-efficient security mechanisms for constrained devices. His research increasingly addresses the intersection of machine learning and practical security implementations, with growing attention to energy efficiency in security protocols and international data space security frameworks. Dr. Shalaginov has received professional recognition through: Nomination as Norwegian representative in EU COST Action CA17124 "DigForAsp" Nomination as Norwegian representative in EU COST Action CA22104 "BEiNG-WISE" Membership in the "Impact of Technology" Expert Group at the European Union Intellectual Property Office Observatory As head of the Smart Security Lab, Dr. Shalaginov oversees research projects focused on developing practical security solutions for emerging technologies. His GitHub activity demonstrates active development of open-source tools for malware analysis across multiple platforms (Linux, Windows, IoT) and implementation of machine learning approaches for security applications. His research group appears to focus on bridging the gap between theoretical security models and practical implementations for real-world systems.
Professor Antonio Martini is a faculty member at the Department of Informatics, University of Oslo , specializing in Software Engineering and Technical Debt management. His research spans microservices , machine learning , visual analytics , and agile methodologies . His research interests focus on: Technical Debt classification and prioritization Machine Learning applications in software development Visual Analytics for Decision Support Scalability in open and serverless systems Notable trends in his publications (2025–2018) include leveraging transformer-based NLP for debt analysis, security debt frameworks, and visual analytics in supply chain environments. He has contributed to tools like AnaConDebt and Skuld for debt tracking and estimation.
Ebenezer Paintsil serves as an Associate Professor in the Department of Computer Science within the Faculty of Technology, Art and Design at Oslo Metropolitan University. His academic work centers on cybersecurity, cloud computing, and software engineering, with specific expertise in identity management systems and risk analysis methodologies. His research interests include: Cybersecurity frameworks and protocols Cloud infrastructure security Executable model-based risk assessment Identity management system vulnerabilities Privacy-preserving technologies Taxonomies for security risk analysis Analysis of his publication history (2011-2023) reveals a consistent focus on developing formal methods for security risk assessment, particularly using Hierarchical Colored Petri Nets for executable modeling. Key trends include the evolution from foundational taxonomies (2011-2012) to applied implementations in IoT healthcare (2014) and conference leadership (NordSec 2023), demonstrating progression from theoretical frameworks to real-world security verification systems. Scientific awards: No scientific awards were documented in the provided source material Regarding academic advising and research funding, the available documentation contains no references to doctoral students, master's candidates, or externally funded research grants under his supervision.
Kauê Feitosa Dias De Sousa is an Associate Professor at the Department of Agricultural Sciences, University of Innlandet. His work bridges ecological science, digital innovation, and participatory methods to support sustainable livelihoods and climate resilience in biodiverse regions. Education: - PhD in Applied Ecology and Biotechnology (University of Innlandet, Norway) - MSc in Tropical Agroforestry (CATIE, Costa Rica) - BEng in Forestry (Universidade Federal do Amazonas, Brazil) Research Interests: Kauê focuses on agrobiodiversity, climate adaptation in smallholder farming systems, and participatory research methods like the triadic comparison (tricot) approach. He integrates data-driven tools with local knowledge to address agricultural challenges in Latin America, Africa, and Asia. Key Contributions: - Developed the tricot framework for decentralized on-farm testing. - Co-created open-source software tools (e.g., ClimMob, gosset, climatrends). - Advised on digital platforms for citizen science in grassroots research. - Contributed to CGIAR's global strategy on data-driven on-farm variety testing (OFVT). International Projects: Led roles in projects funded by the Gates Foundation, NORAD, and CGIAR Trust Fund, spanning Benin, Ethiopia, Ghana, Kenya, and others. Open Science: Most code and workflows are openly available on his team’s GitHub page, promoting transparency and collaboration.
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.
Shiliang Zhang is a Postdoctoral Fellow at the University of Oslo working with the Networks and Distributed Systems research group. His research focuses on privacy preservation in smart grid and transactive energy management systems, including the Privacy preserving Transactive Energy Management (PriTEM) project. He teaches Energy Informatics and Artificial Intelligence for Energy Informatics courses while developing interactive visualization tools for Norwegian energy infrastructure. His primary research areas encompass Smart Grid systems, Transactive Energy Management, and Privacy Preservation through Differential Privacy techniques. He applies Artificial Intelligence and Energy Informatics to address renewable energy integration challenges, grid resilience, and autonomous navigation systems. Recent work explores bionic data-driven approaches for underwater navigation and anomaly-resistant control mechanisms. Publications from 2022-2025 reveal strong interdisciplinary focus on machine learning applications for energy systems and navigation. Key themes include privacy-preserving pricing schemes for smart grids, robust control under system uncertainties, and deep reinforcement learning for geomagnetic navigation. His work spans IEEE Transactions, SmartGridComm, and Mathematics journals with significant contributions to resilient energy infrastructure. No scientific awards were mentioned in available sources. Zhang has no listed advisees but actively contributes to the PriTEM project within Networks and Distributed Systems. His research leverages collaborations across energy informatics domains, evidenced by publications in high-impact venues and development of practical tools like Norway's energy consumption and solar panel distribution maps. He operates within the Networks and Distributed Systems research group, developing interactive visualizations for Norwegian energy infrastructure including municipal energy consumption (May 2025), Oslo's solar panel distribution (April 2025), and national power lines (May 2025). His work bridges theoretical control systems with real-world energy applications through the PriTEM project.
