Find Academic Supervisors

• Computer Networking
• Network Performance Analysis
• Stochastic Network Calculus
• +5 more

Yuming Jiang is a full Professor at NTNU's Department of Information Security and Communication Technology (Faculty of Information Technology and Electrical Engineering). He holds a BSc from Peking University, MEng from Beijing Institute of Technology, and PhD from National University of Singapore (NUS). His research focuses on network performance analysis, stochastic network calculus, and quality of service guarantees in communication networks. He authored the seminal book Stochastic Network Calculus (Springer, 2008). He has held roles including Study Programme Leader for NTNU's Master of Science in Digital Infrastructure and Cyber Security, and is a member of the Norwegian Academy of Technological Sciences (NTVA). Prof. Jiang has extensive experience in academic leadership, serving as conference chair (e.g., IFIP Networking 2014, IEEE Vehicular Technology Conference 2008) and committee roles in major networking communities. His work spans theoretical advancements (e.g., stochastic network calculus properties) and practical applications (e.g., UAV-assisted IoT security, NFV reliability). Key research contributions include modeling wireless channel capacity, analyzing time-sensitive networks (TSN/DetNet), and developing security frameworks for emerging communication systems. His publications (over 150 papers) bridge theoretical foundations and real-world network challenges in areas like energy-efficient communication, cyber-physical systems, and blockchain performance.

Matin BagherpourView profile

Associate Professor

• Energy Systems
• Network Optimization
• Multicast Routing
• +4 more

Matin Bagherpour is an Associate Professor in the Energy Systems department at the University of Oslo. His primary affiliation is with the Energy Systems Section, focusing on interdisciplinary research at the intersection of telecommunications, networking, and operations research. His work addresses challenges in network optimization, multicast systems, and remanufacturing logistics. He has collaborated extensively with researchers like Øivind Kure and contributed to projects such as DESSI (Distributed Energy System and Security Infrastructure). Research interests include energy systems modeling, network reliability, and algorithmic solutions for telecommunications. His 2010-2011 publications primarily address multicast protocols, remanufacturing systems, and mobile ad hoc networks, reflecting a technical focus on mathematical modeling and optimization. Key works include developing revenue maximization models for media streaming and enhancing data transmission reliability through multipath strategies. Despite no listed awards, his active publication record from 2010-2011 indicates sustained academic engagement. Current involvement in the DESSI project suggests ongoing work in energy infrastructure security and transactive energy systems.

Dag HauglandView profile

Professor

• Combinatorial Optimization
• Global Optimization
• Network Flow Models
• +7 more

Dag Haugland is a Professor in the Department of Informatics at the University of Bergen, Norway, where he conducts research and teaches in optimization, particularly combinatorial and global optimization with applications in network flows, energy systems, and logistics. He is affiliated with the Optimization research group and maintains an active research profile with recent publications in top-tier journals. Research Interests: His work focuses on Combinatorial Optimization , Global Optimization , and Network Flow Models , applying mathematical programming techniques to real-world problems in offshore wind energy, gas pipeline transportation, wireless networks, and vehicle routing. His research emphasizes integer programming, polyhedral analysis, and algorithmic design. Recent Research Trends: His latest publications (2023–2024) address tighter bounds in broadcast time problems and hydropower scheduling, reflecting a continued focus on theoretical and applied optimization in communication and energy networks. Earlier works (2016–2020) explore pooling problems, offshore wind farm cable layouts, and portfolio optimization, demonstrating interdisciplinary reach. Scientific Contributions: Extensive publication record in optimization and operations research. Supervision of multiple PhD and master’s students. Active involvement in conference proceedings and technical reports. Advising and Grants: Dag Haugland has supervised numerous students, including Marika Ivanova and Arne Klein, on topics such as offshore wind farm optimization and multicast tree problems. His work has been supported by Norwegian research funding, including the Research Council of Norway (project reference 249994). He contributes to academic service through conference organization (e.g., Norsk Informatikkonferanse) and collaborative research. Labs and Teams: He is a key member of the Optimization research group at the Department of Informatics, University of Bergen, which focuses on algorithmic and mathematical approaches to complex decision problems in engineering and industry.

Ketil DanielsenView profile

Associate Professor

• Computer Science
• Operations Research
• Networking
• +3 more

Ketil Danielsen serves as an Associate Professor within the Logistics Department at Molde University College, Norway. His extensive teaching portfolio includes: Computer Communications Operating Systems IT Operations Databases Algorithms and Data Structures Programming Web Development Statistics Simulation His academic role bridges computer science with logistical applications through computational methodologies. Dr. Danielsen's research centers on computer science and operations research with emphasis on simulation, programming, and optimization. He investigates network resource allocation, quality of service for multimedia services, and combinatorial optimization for routing problems. His work demonstrates strong interdisciplinary connections between theoretical computer science and practical logistical solutions, particularly in transportation and telecommunications infrastructure. Analysis of his publication record reveals consistent focus on optimization algorithms and networking protocols. Recent work explores tabu search methodologies for integer programming and vehicle routing applications, while foundational contributions address MPLS networking protocols, service disruption recovery, and auction-based resource allocation. This trajectory shows sustained innovation in solving complex logistical challenges through computational approaches. Scientific Awards: No awards are documented in available sources. Advising and Grants: Information regarding student supervision and research funding is not provided in current documentation.