جستجوی استاد راهنمای دانشگاهی

Michael Riegler is a Researcher at the AI Department, Simula Research Laboratory , focusing on interdisciplinary applications of Artificial Intelligence in healthcare, sports analytics, and multimedia systems. His work bridges Machine Learning , AI Alignment , and Applied AI across clinical and real-world domains. Key Affiliations: Simula Research Laboratory (AI Department Head) Research Themes: Explainable AI in medicine, multimodal data analysis, and AI-driven health monitoring Research Interests include: Developing AI/ML algorithms for medical imaging (e.g., polyp detection, embryo analysis) Addressing missing data challenges in healthcare through novel imputation techniques Creating multimodal virtual avatars for investigative interview training Designing edge AI systems for sports analytics and sustainable fishing Recent Publications highlight collaborations with institutions in Norway and globally, with a focus on: Medical Applications: Polyp segmentation, ECG analysis, and explainable models for disease detection Sports Analytics: Athlete performance prediction and soccer video processing Data Infrastructure: Lifelogging datasets (ScopeSense), semantic representation frameworks Labs & Teams include leadership in Simula’s AI Department and participation in projects like Medico Multimedia Task , ImageCLEF , and MediaEval workshops. His work emphasizes responsible AI innovation in public sectors and privacy-preserving systems for edge environments.

• Artificial Intelligence
• Machine Learning
• AI Alignment
• +۲ مورد دیگر

Vasileios Mavroeidis is an Associate Professor in Digital Security at the Department of Informatics, University of Oslo (UiO). He specializes in security automation and orchestration (SOAR) and cyber threat intelligence (CTI) representation, reasoning, and sharing. He actively contributes to European cybersecurity initiatives, including Horizon Europe, Connecting Europe Facility, and the European Defense Fund, and serves as the primary representative of UiO at the OASIS standards development organization since 2017. Role : Associate Professor Department : Digital Security (SEC), University of Oslo Standardization Involvement : Chairman of OASIS Threat Actor Context (TAC), Leading Contributor to CACAO and OpenC2 Projects : Concordia, CyberHunt, JCOP (Joint Cyber Security Operations Platform), Oslo Analytics, P4C (Partnership for Cybersecurity) His research focuses on cyber threat intelligence (CTI), exploring its taxonomies, sharing standards (STIX, CACAO), and ontologies, with contributions to the European Union Agency for Cybersecurity (ENISA) Cybersecurity Playbooks task force. He analyzes quantum computing's impact on cryptography, develops automated threat detection systems using machine learning (e.g., recurrent neural networks for malware-generated domains), and investigates privacy issues under GDPR. Recent publications highlight his work on LLMs for code stylometry , neurosymbolic AI for cyber defense , and knowledge management systems for CACAO playbooks . His articles span 2017–2025, emphasizing formal verification, biometric data protection, and incident response automation. He collaborates with organizations like OASIS (Threat Actor Context, CACAO, OpenC2) and FIRST (Traffic Light Protocol), and participates in European research projects. His work includes standardization efforts in cybersecurity playbooks , MITRE ATT&CK representation, and quantum-resistant cryptography .

• Cybersecurity
• Security Automation and Orchestration (SOAR)
• Cyber Threat Intelligence (CTI)
• +۶ مورد دیگر

Geir Olav Dyrkolbotn is an Associate Professor at NTNU's Center for Cyber and Information Security (CCIS) and a Major in the Norwegian Armed Forces, serving at the Norwegian Defence Cyber Academy (NDCA). He leads the NTNU Malware Lab and the cyber defence research group at CCIS. He holds a PhD in Information Security from Gjøvik University College and a MSc in Computer Science from NTNU. With over 25 years in the military, his work focuses on tactical communication systems, defensive cyber operations, and operational security. His research emphasizes cyber defence, reverse engineering, malware analysis, side-channel attacks, and machine learning applications. Education: PhD in Information Security, Gjøvik University College (HiG) MSc in Computer Science, NTNU Research Interests: Geir Olav's work bridges theoretical cybersecurity research and practical military applications. He explores innovative methods for hardware reverse engineering, malware detection/classification using low-level features, and forensic acquisition techniques. His contributions include analyzing USB power delivery vulnerabilities, NTFS cluster allocation behavior, and secure chip exploitation for digital forensics. Teaching: Courses include IIKG6500/IMT4213 Cyber-taktikk, IMT4214 Cyber-etterretning, IIKG6501 Cyber Intelligence, and IMT4116 Malware Analysis & Reversing. Labs & Teams: Heads the NTNU Malware Lab and leads the cyber defence research group at CCIS, collaborating on projects like the Digital Forensic Acquisition Kill Chain and hardware security vulnerability assessments.

• Cyber Defence
• Reverse Engineering
• Malware Analysis
• +۵ مورد دیگر

Gudmund Grov is an Associate Professor in Digital Security at the Department of Informatics, Faculty of Mathematics and Natural Sciences, University of Oslo. His research focuses on cybersecurity, with emphasis on anomaly detection, explainable AI, and security modeling. He is actively contributing to advancements in autonomous cyber defense and machine learning applications in security operations. His research interests span Digital Security , Network Anomaly Detection , Explainable AI (XAI) , Machine Learning for Cyber Defense , Security Modeling , and Risk Modeling in Enterprise Architecture . His work integrates formal reasoning with practical modeling to enhance system security and interpretability. The recent publications reflect a strong trend towards intelligent and interpretable cybersecurity systems, combining deep learning with formal methods to detect and explain network threats. His work bridges the gap between theoretical modeling and real-world security applications, particularly in autonomous defense and labeled dataset generation for APTs. No scientific awards were mentioned in the provided text. Gudmund Grov collaborates extensively with researchers in cybersecurity and formal methods. While specific grants and advising roles are not detailed, his co-authorship on multiple projects indicates active research supervision and collaboration. He is involved in developing frameworks for labeled data generation, contextual anomaly detection, and explainable alerts in SOC environments. There is no explicit information about labs or research teams, but his work suggests involvement in cybersecurity research groups at the University of Oslo focusing on AI-driven security and formal verification.

• Digital Security
• Cybersecurity
• Network Anomaly Detection
• +۷ مورد دیگر

Laszlo Tibor Erdodi is an Associate Professor at the Norwegian University of Science and Technology (NTNU), affiliated with the Department of Information Security and Communication Technology within the Faculty of Information Technology and Electrical Engineering . His research focuses on cybersecurity in critical infrastructure, reinforcement learning for penetration testing, and vulnerability exploitation in power grid systems. Erdodi collaborates with institutions like CIGRE and IEEE on projects evaluating security of wide-area monitoring systems and industrial control systems. Key research areas include advanced persistent threats (APT) targeting power grid substations, stealthy data integrity attacks on critical infrastructure, and the application of reinforcement learning to simulate cyber-attacks (e.g., SQL injection and CTF challenges). His work often involves hardware-in-the-loop testbeds to assess vulnerability mitigation strategies in real-world scenarios. Publications emphasize cybersecurity for industrial control systems, penetration testing methodologies, and ethical hacking frameworks. Notable contributions include studies on IEC 61850/60870-5-104 protocol vulnerabilities, PTP timing attacks in substations, and lightweight IoT security solutions (e.g., LIST framework). Erdodi’s work bridges theoretical cybersecurity models with practical implementation, addressing challenges in both academic and industrial sectors. He contributes to conferences like IEEE PES ISGT Europe and CIGRE symposiums, focusing on resilient critical infrastructure design and automated threat detection systems.

• Cybersecurity
• Critical Infrastructure Security
• Reinforcement Learning
• +۳ مورد دیگر

Øyvind Ytrehus is a Professor at the Department of Informatics, Faculty of Mathematics and Natural Sciences, University of Bergen (UiB), Norway. He is actively engaged in research and academic supervision, with a focus on coding theory and its applications in communication systems. Research Interests: His primary research areas include Coding Theory , Error-Correcting Codes , Information Theory , Network Coding , Cryptography , and RFID Communication . His work bridges theoretical foundations with practical implementations in wireless and networked systems. The recent publications (2024–2008) reflect a consistent trajectory in coding for communication security, RFID systems, and iterative decoding. Key trends include the use of formally unimodular lattices for secrecy gain, LDPC and turbo codes for erasure channels, and network coding for multicast and delay optimization. His work frequently intersects with physical-layer security and energy-efficient communication. Scientific Contributions: Co-edited special issues on coding theory and applications. Authored foundational work on convolutional codes, stopping sets, and generalized Hamming weights. Contributed to RFID and inductively coupled channel modeling. Advising and Grants: He has supervised several PhD candidates, including Bjørn Møller Greve, Christian W. Otterstad, and Mohsen Toorani. While specific grants are not listed, his extensive publication record and editorial roles suggest active grant involvement in coding and communication research. Labs and Teams: While no specific lab name is mentioned, his collaborations with researchers at Simula UiB, University of Valladolid, and Lancaster University indicate participation in interdisciplinary research networks focused on coding and communication systems.

• Coding Theory
• Error-Correcting Codes
• Information Theory
• +۷ مورد دیگر

Audun Jøsang is a Professor of Cybersecurity at the University of Oslo and holds a Visiting Professor position at Queensland University of Technology (QUT) . His work focuses on trust and reputation systems in digital environments, with notable contributions to subjective logic —a mathematical framework for reasoning under uncertainty. Education : MSc in Information Security from Royal Holloway, University of London , MSc and PhD in Telecommunications from Norwegian University of Science and Technology (NTNU) Books : Subjective Logic: A Formalism for Reasoning Under Uncertainty (2016), Cybersecurity: Technology and Governance (2011) His research spans cybersecurity , artificial intelligence , and risk assessment , with applications in online marketplaces , social media , and decision-making under uncertainty . He has developed mathematical models for uncertainty-aware influence propagation and competitive information spread using subjective logic. Audun Jøsang’s work bridges theoretical foundations and industrial applications of computational trust and security analytics . His recent publications explore ethical AI , fair federated learning , and dynamic intelligence assessment for artificial general intelligence development.

• Cybersecurity
• Artificial Intelligence
• Trust and Reputation Systems
• +۴ مورد دیگر

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.

• Information Security
• Software Vulnerability Analysis
• Digital Forensics
• +۳ مورد دیگر

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.

• Internet of things (IoT)
• Machine learning
• Smart cities
• +۴ مورد دیگر

Tom Heine Nätt is an Associate Professor at the Department of Computer Science and Communication at Høgskolen i Oslo og Akershus. His academic work focuses on foundational computer science concepts, information security, and programming language theory. He has contributed extensively to technical lexicon entries covering IT infrastructure, cyber-security practices, software development methodologies, and digital literacy education. His research interests include exploring system reliability through redundancy mechanisms, mitigating cyber-threats via robust validation techniques, and clarifying core IT concepts for educational purposes. He has authored over 50 entries in the Store Norske Leksikon , addressing topics ranging from API architecture to quantum computing basics . Professionally, he teaches courses in software engineering and cyber-security at HiOA. His publications consistently emphasize clear technical communication and practical application of theoretical principles.

• Computer Science
• Information Security
• Programming Languages
• +۳ مورد دیگر

Paal Engelstad is a Professor at Oslo Metropolitan University's Faculty of Technology, Art and Design, Department of Computer Science. His research focuses on Cloud computing , Cybersecurity , and Software Engineering , with significant contributions to Graph Neural Networks (GNNs) and their applications in network analysis, renewable energy forecasting, and telecom systems. Research interests span Applied Artificial Intelligence and Autonomous Systems and Networks . Recent publications address spatio-temporal wind forecasting , GNN propagation schemes , and 5G network security . He contributes to advancements in renewable energy integration and telecom protocol analysis .

• Cloud computing
• Cybersecurity
• Software Engineering
• +۷ مورد دیگر

Geir Olav Dyrkolbotn is an Associate Professor at the Norwegian University of Science and Technology (NTNU), affiliated with the Center for Cyber and Information Security (CCIS). He leads the NTNU Malware Lab and the Cyber Defence research group. His expertise bridges academic research with military experience from over 25 years in the Norwegian Armed Forces. PhD in Information Security from Gjøvik University College MSc in Computer Science from Norwegian Institute of Technology (NTH) His research focuses on cyber defense , reverse engineering , and malware analysis , with significant work in side-channel attacks and machine learning . He has contributed to hardware security, IoT vulnerabilities, and digital forensics through publications spanning 2006–2024. Recent publications highlight trends in malware detection via low-level features , hardware reverse engineering , and IoT security , reflecting his interdisciplinary approach to cyber threats. Collaborative works with institutions like IEEE and Springer demonstrate his industry and academic impact. Geir supervises PhD student Sergii Banin , leads critical research labs, and contributes to education through courses like Reverse Engineering and Malware Analysis. His work emphasizes practical applications in military and civilian cyber infrastructure defense.

• Cyber defense
• Reverse engineering
• Malware analysis
• +۷ مورد دیگر

Olav Lysne is a Professor at Oslo Metropolitan University (OsloMet) in the Department of Information Technology within the Faculty of Technology, Art and Design. His work bridges technical computer science and geopolitical aspects of digital infrastructure, with a particular focus on critical communication systems. He maintains an active research profile with numerous publications spanning decades. Professor Lysne's research interests span both technical and policy domains. His technical work focuses on distributed systems, fault tolerance, formal methods, communication systems, routing, and interconnection technology. Simultaneously, he explores the international political dimensions of technology, particularly regarding 5G security and critical infrastructure. This dual focus makes him a unique voice at the intersection of technical expertise and geopolitical analysis in digital communications. His recent publications (2021-2024) demonstrate a clear trend toward examining the geopolitical implications of digital infrastructure, particularly concerning 5G technology, Huawei, and national security. He has extensively analyzed Norway's position between major global powers in technology policy, digital contact tracing efficacy during the pandemic, and national control mechanisms for digital infrastructure. His work combines technical understanding with political analysis to address complex questions of digital sovereignty and security. Professor Lysne has been actively engaged in public discourse through numerous presentations and media contributions. His work has appeared in venues including Nature Communications, IEEE publications, and various policy forums. His research has practical implications for national security policy, digital infrastructure governance, and international technology cooperation.

• International Politics
• Computer Science
• Communication
• +۶ مورد دیگر

Christian Fredrik Heide serves as a Senior Lecturer in the Department of Information Technology and Communication at Østfold University College, Norway. Employed continuously since 2013, he previously held leadership roles including Head of Studies (2005-2013) and has over three decades of experience spanning academia, telecommunications research, and IT consultancy. His research concentrates on Mathematics and Information Security , with significant contributions in two distinct domains: practical cybersecurity awareness for the general public and pedagogical methodologies in STEM education. Recent publications demonstrate expertise in translating complex security concepts into accessible public guidance, while earlier scholarly work analyzes assessment systems in programming education. Analysis of his 2012-2021 publications reveals a dual trajectory: post-2015 outputs focus on consumer cybersecurity through bestselling Norwegian-language books and media appearances addressing online fraud, whereas his 2012-2013 academic papers investigate quantitative relationships between assessment methods and student performance in higher education, particularly within informatics programs. No scientific awards or fellowships are documented. His teaching portfolio includes foundational mathematics courses essential for informatics students: Calculus Discrete Mathematics Linear Algebra and Integral Transforms Statistics and Statistical Programming

• Mathematics
• Information Security
• Computer Science Education
• +۱ مورد دیگر

Manikandan Palanichamy is an Associate Professor at Østfold University College, specializing in green energy transitions, smart energy systems, and emerging ICT technologies. He holds a PhD in Electronics and Telecommunications Engineering from NTNU, Norway, and has extensive international academic and industry experience. Education: PhD (2013): NTNU, Norway Master’s (2006): National Cheng Kung University, Taiwan Bachelor’s (2004): MKU, India Engineering Diploma (2001): Alagappa Polytechnic, India Research Interests: His work focuses on green energy, Industry 5.0, circular economy, IoT integration, and hardware security. He has pioneered novel CAM cell designs, path delay fault testing methodologies, and sustainable energy solutions. Recent projects include bilateral collaborations on renewable energy and smart industrial IoT systems. Publications: Over 30 peer-reviewed articles in journals like IEEE Proceedings and International Journal of Engineering and Advanced Technology. Key themes include AI integration in networks, LoRaWAN for industrial IoT, and hardware security. Awards: IEEE Best Paper Award (2006) Roles: International Coordinator at Østfold University College, managing student exchanges and partnerships. He also advises industrial projects in software development and IIoT integration. Labs/Teams: Involved in the Green Energy Research Hub and collaborates with institutions globally on projects like BioSolar Hydrogen and ReSAG (Remote Sensing for Agriculture).

• Green Energy Transitions
• Smart Energy Systems
• Industry 5.0
• +۵ مورد دیگر