جستجوی استاد راهنمای دانشگاهی

• Mobile Network Security
• Cryptography
• Privacy Engineering
• +۴ مورد دیگر

Stig Frode Mjølsnes serves as a Professor in the Department of Information Security and Communication Technology within the Faculty of Information Technology and Electrical Engineering at the Norwegian University of Science and Technology (NTNU). His research spans mobile network security, cryptographic protocols, and privacy engineering, with particular focus on vulnerabilities in LTE/4G systems and subscriber identification mechanisms. His office is located at Elektro B, B219, Gløshaugen, OS Bragstads plass 2, and he maintains active research collaborations internationally. Professor Mjølsnes' research interests center on mobile network security with emphasis on privacy exposure in cellular systems, cryptographic protocol design, and security education. His work has systematically exposed critical vulnerabilities in LTE paging mechanisms that enable IMSI catchers and subscriber tracking, while developing practical countermeasures through privacy-preserving identification protocols. He bridges theoretical cryptography with real-world implementation challenges, particularly in wireless communication systems where security flaws have immediate practical consequences. His research methodology combines formal protocol analysis with experimental network security testing. His publication record demonstrates consistent focus on mobile network privacy vulnerabilities, particularly in LTE systems, where his team has documented low-cost attack methodologies accessible even to non-programmers. The research trajectory shows evolution from foundational cryptographic work toward applied security testing frameworks that have influenced both academic understanding and practical security implementations in mobile networks. His contributions include developing educational tools for security experimentation and analyzing cryptographic weaknesses in voting systems. Professor Mjølsnes actively contributes to the academic community through conference organization, particularly the Norwegian ICT Conference for Research and Education (NISK), where he has served as program chair. His editorial work includes prefaces for major security conference proceedings published by Springer in the Lecture Notes in Computer Science series. He has also contributed to security standardization discussions through technical reports and government consultations. His teaching philosophy emphasizes hands-on security education, as evidenced by publications on security laboratory didactics and mobile network security experimentation frameworks. He has developed practical educational approaches for teaching information security through software laboratories and web security exercises, focusing on bridging theoretical knowledge with practical implementation skills.

• Computer Networking
• Quality of Experience (QoE)
• Video Streaming
• +۳ مورد دیگر

Bjørn Jonny Villa serves as Associate Professor at the Norwegian University of Science and Technology (NTNU), specializing in computer networking with emphasis on adaptive video streaming and Quality of Experience (QoE) optimization. His research addresses critical challenges in home networks, public WiFi security, and bandwidth management, as evidenced by publications spanning 2010-2014 in top venues including IEEE, Springer, and international journals. Villa earned his PhD from NTNU in 2014 with the dissertation "Enhancing Quality Aspects of Adaptive Video Streaming in Home Networks," establishing foundational work for his subsequent research. His academic journey reflects deep specialization in network performance optimization for multimedia delivery systems. Core research interests include adaptive HTTP video streaming, QoE measurement and optimization, network security vulnerabilities (particularly in public WiFi), and active probing techniques for bandwidth estimation. Villa employs experimental user studies and traffic analysis to develop practical solutions for improving streaming fairness and network resource allocation, with significant contributions to understanding how burst durations and traffic shaping impact user-perceived quality. Analysis of Villa's publication timeline reveals consistent focus on video streaming challenges: early work (2010-2011) established monitoring frameworks and home gateway optimization, mid-period research (2012-2013) advanced fairness algorithms and traffic shaping, while his 2014 output expanded into security implications of public networks. His collaborative approach is evident through recurring partnerships with Poul Einar Heegaard and Anders Instefjord across multiple publications. No scientific awards are documented in the available records. Similarly, no information regarding research grants or student supervision appears in the provided materials. Villa actively engages with the research community through conference presentations including Forskningsdagene (2013) and NIK conferences, and contributes to public discourse through media appearances in Aftenposten and Inside Telecom. His work operates within NTNU's telecommunications research ecosystem, focusing on practical implementations of network optimization techniques for real-world video delivery systems.

• Autonomous Systems
• Machine Learning
• Computer Vision
• +۳ مورد دیگر

Muhammad Adnan serves as a Research Fellow at the Department of Technology and Safety, UiT The Arctic University of Norway, with contact details including email muhammad.adnan@uit.no and phone +47 77 66 02 47. His research spans critical domains in modern engineering and computer science, with primary focus areas: Autonomous Maritime Systems : Developing operational frameworks for remotely controlled vessels and onshore operation centers Machine Learning Applications : Advancing ensemble methods for classification, spam detection, and remote sensing Computer Vision Integration : Leveraging electro-optical/NIR sensors for maritime object detection Cybersecurity Solutions : Enhancing email security through stacking ensemble techniques Recent publications (2023-2024) reveal a concentrated research trajectory merging maritime autonomy with AI-driven solutions, demonstrating significant interdisciplinary work across navigation support systems, sensor fusion, and transfer learning applications. His output shows consistent publication in high-impact journals with practical engineering implementations. No scientific awards were documented in the provided materials. Information regarding student supervision, grant funding, or laboratory affiliations was not available in the source text.

• Maritime Safety
• Deep Learning
• Anomaly Detection
• +۳ مورد دیگر

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.

• Cyber Sovereignty and Network Security
• Internet Testbeds
• Distributed Systems
• +۸ مورد دیگر

Thomas Dreibholz is a Chief Research Engineer at Simula Metropolitan's Center for Resilient Networks and Applications. He specializes in cyber sovereignty, network security, and internet testbeds, with extensive work on distributed systems, cloud computing, and 5G networks. Affiliation: Simula Metropolitan, Oslo, Norway Research Focus: Multi-path transport protocols, network resilience, and privacy-preserving frameworks His research explores the intersection of network security, cloud/fog computing, and next-generation communication protocols. Recent work includes HiPerConTracer for network analysis, privacy-aware fog platforms , and multi-layered federated learning security . He contributes to testbed development, including the NorNet infrastructure for real-world multi-path transport research. Publications reflect expertise in multi-path TCP , 5G network optimization , and cloud/fog security . He has delivered invited talks at institutions like Hainan University and Princeton University, emphasizing open-source testbed deployment and educational outreach.