Danilo Gligoroski is a Professor at the Department of Information Security and Communication Technology at NTNU. His research focuses on cryptography, blockchain technology, network security, and 5G systems. He has collaborated extensively on projects involving decentralized ledgers, cybersecurity in healthcare, and hardware implementations of cryptographic algorithms. Key contributions include work on blockchain-based trust systems, secure network slicing, and privacy-preserving protocols. Affiliations: NTNU, Department of Information Security and Communication Technology Primary Research Areas: Cryptography, Blockchain, 5G Networks, Cybersecurity Notable Projects: GRAND Parallel Decoding Framework, GDPR-compliant healthcare blockchain Research interests span cryptographic protocol design, distributed ledger technologies, and their applications in healthcare, telecommunications, and IoT. His work often addresses scalability, privacy, and compliance challenges in decentralized systems. Publications highlight trends in blockchain consensus mechanisms, cryptographic hardware optimization, and network security for next-gen communication systems. Collaborations with industry and academic partners emphasize practical implementations and real-world use cases. Advising and grants include supervision of interdisciplinary projects and contributions to EU-funded cybersecurity initiatives. Active in open-source software development for network slicing and blockchain frameworks.
Thomas Erich Zinner is Professor at the Department of Information Security and Communication Technology, Norwegian University of Science and Technology (NTNU), a position held since August 2019. Previously, he served as visiting professor and head of the FG INET research group at TU Berlin, and led the 'Next Generation Networks' research group at the University of Würzburg's Communication Networks chair. His educational background includes a diploma (2006) and Ph.D. (2012), both from the University of Würzburg. His research spans network architecture performance evaluation with emphasis on SDN/NFV and QoE-centric management approaches for emerging networks. Zinner's recent publications reveal strong trends toward intelligent 6G architectures integrating AI in the user plane, QoE-aware 5G resource allocation, and autonomic management of softwarized networks. His work combines theoretical modeling, simulation frameworks like OMNeT++, and practical implementations focused on real-world applicability in beyond-5G systems. He leads the Networking Research Group at NTNU working on the TeraFlow project, developing secure cloud-native SDN controllers for autonomic traffic management at massive scale. This initiative addresses critical challenges in next-generation network infrastructure through innovative controller architectures and flow management techniques.
Poul Einar Heegaard is a Professor at the Department of Information Security and Communication Technology (IIK), Norwegian University of Science and Technology (NTNU). He has held leadership roles including Head of the Networking Research Group (2019-2021) and Head of the Department of Telematics (2009-2013). He has also served as Head of the QUAM-lab at NTNU (2015-2019) and as Coordinator of the Network Research area (2006-2009). He has been a visiting professor at institutions such as Duke University, University of Illinois at Urbana-Champaign, and TU München. He holds a Master's Degree (Siv.ing.) in Computer Systems and Telematics (1989) and a PhD (Dr.ing.) in Telematics (1998), both from NTNU. His research focuses on Quality of Service (QoS) evaluation, rare event simulation techniques, survivability quantification, network monitoring, and distributed autonomous management in communication systems. His recent academic articles explore topics like network slicing, NFV resilience, Markov models for server performability, and scalability indices in 5G systems. He has contributed to conferences and journals on QoE fairness, IoT traffic modeling, and software reliability in SDN controllers.
Besmir Tola is an Associate Professor at the Department of Information Security and Communication Technology, NTNU. His affiliations include the Faculty of Information Technology and Electrical Engineering, where he holds a permanent academic position. Previously, he served as an Assistant Professor (2020-2022), Researcher (2019-2020), and held a Marie S. Curie Fellowship (2015-2019) within the same institution. He earned his Master's from the University of Siena (Italy) and PhD from NTNU. His research focuses on dependability modeling of software-defined networks, performance analysis of virtualized networks, wireless security, and NFV orchestration. He has published extensively on topics like NFV service resilience, redundancy allocation, and network availability modeling. His work emphasizes practical solutions for carrier-grade service provisioning and network reliability in cloud-native architectures. Dr. Tola has collaborated with industry partners such as Nokia Bell Labs and SIKT (Norway), contributing to both academic and applied research. He is also an accredited Cisco Networking Academy instructor, teaching courses like Cisco Certified Network Associate and Cloud Security. His voluntary roles include leadership in IEEE NTNU Student Branch and PhD/postdoc advocacy organizations.
Professor Yuming Jiang is affiliated with the Norwegian University of Science and Technology (NTNU) as a full Professor in the Department of Information Security and Communication Technology, Faculty of Information Technology and Electrical Engineering. He leads the Master of Science in Digital Infrastructure and Cyber Security program and serves on the board of IEEE Norway Section. BSc: Peking University MEng: Beijing Institute of Technology PhD: National University of Singapore (NUS) His research focuses on network calculus , quality of service guarantees in communication networks, and performance analysis of wireless systems and time-sensitive networks . He has developed foundational models for stochastic network calculus (snetcal) and explored deterministic networking (DetNet) principles. Recent publications address UAV-assisted IoT networks , NFV recovery strategies , and blockchain transaction analysis . He has held visiting positions at Northwestern University (2009-2010) and Columbia University (2015-2016). ERCIM Fellowship recipient Member of Norwegian Academy of Technological Sciences (NTVA) His work spans network management , virtualization , and cybersecurity in both theoretical and applied contexts.
Thomas Erich Zinner is a Professor at the Department of Information Security and Communication Technology (IIK) at the Norwegian University of Science and Technology (NTNU). He leads the Networking Group@IIK and has held roles including Head of the FG INET at TU Berlin and Head of the Next Generation Networks group at the University of Würzburg. He earned his diploma (2006) and PhD (2012) from the University of Würzburg. His research focuses on network eco-systems, performance evaluation of SDN/NFV architectures, QoE-centric management, and 5G/6G innovations. Key projects include TeraFlow, aiming to revolutionize SDN traffic management in beyond 5G networks. His work bridges network technologies, applications, and protocols, emphasizing optimization for emerging paradigms like software-based networking and adaptive video streaming. Recent publications address AI integration in 6G, 5G NR performance, and QoE-aware network slicing. He collaborates internationally, publishing in venues like IEEE Transactions and CNSM. His research addresses challenges in network determinism, inter-domain connectivity, and geo-distributed analytics.
Frank Yong Li is a Professor in the Department of Information and Communication Technology at the University of Agder, Norway. He holds a Ph.D. in Telematics from the Norwegian University of Science and Technology (NTNU). His research focuses on networking aspects of mobile and wireless systems, including 5G/6G, IoT, cognitive radio, and energy-efficient protocols. He has supervised numerous M.Sc. and Ph.D. theses, with notable awards such as the Best Master Thesis in ICT 2022 for Jon Anders Skadberg Øgaard's work. Teaching responsibilities include advanced courses on mobile communications, IoT, and 5G fundamentals. He has led projects prototyping open-source 5G systems and contributed to maritime IoT and vehicular networks. His work emphasizes protocol design, performance evaluation, and real-world implementation. Research interests span MAC mechanisms, routing protocols, cooperative communications, and network slicing. Key contributions include frameworks for energy-efficient IoT, grant-free access in 5G NR, and reliability analysis in ultra-reliable low-latency communications (URLLC). He advises on over 50 student projects, focusing on IoT, 5G, and network security. Notable collaborations include partnerships with Telenor Maritime and CERN, integrating academia-industry research. His labs explore cutting-edge topics in beyond 5G networks and private mobile infrastructure.
Besmir Tola serves as Associate Professor in the Department of Information Security and Communication Technology at the Faculty of Information Technology and Electrical Engineering, Norwegian University of Science and Technology (NTNU). His academic trajectory progressed from Researcher (2019-2020) to Assistant Professor (2020-2022) and current Associate Professor role since 2022, following a Marie Curie Research Fellowship (2015-2019). He maintains active industry connections through visiting positions at Nokia Bell Labs (2016) and SIKT (2018). His educational background includes: Master of Science in Electronic and Telecommunication Engineering, University of Siena, Italy PhD in Information Security and Communication Technology, NTNU Dr. Tola's research program centers on critical challenges in network virtualization and security, with four pillars: dependability modeling of softwareized networks, performance analysis of virtualized services, wireless security, and orchestration of softwarized networks. His work bridges theoretical modeling and practical implementation, particularly addressing carrier-grade requirements for Network Functions Virtualization (NFV) in telecom infrastructure. Key contributions include novel approaches to software rejuvenation for NFV-MANO systems and redundancy allocation mechanisms for high-availability services. Analysis of his 15+ publications (2015-2023) reveals an evolving research trajectory: early work established foundational models for cloud service failures (2017), followed by comprehensive NFV availability frameworks (2019-2021), and recent innovations in offline communication security (2022-2023). The publications consistently address resilience engineering across journals like IEEE Transactions on Network and Service Management and conferences including IEEE INFOCOM. His primary recognition is the prestigious Marie S. Curie Research Fellowship under the CleanSky ITN project, enabling international collaboration on critical network virtualization challenges. This fellowship represents significant competitive research funding in the European research landscape. Dr. Tola actively contributes to pedagogy as instructor for core networking courses including Interconnected Networks and Network Security (DCST2001) and Data Communication and Networks (DCST1006), implementing innovative flipped classroom approaches as documented in his 2022 UNIPED Program presentation. He advises bachelor students in the Digital Infrastructure and Cyber Security program through DCST2900 thesis supervision. He leads research within NTNU's Networking Research Group and extends impact through Cisco Networking Academy accreditation for CCNA, DevNet, CyberOps, and Cloud Security training. His IEEE leadership includes Chairing the NTNU Student Branch (2018-2021) and serving on the Norway Section Executive Committee (2018-2019).
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.
Dr. Zhang Qixia is a Postdoctoral Research Fellow in Computer Science at UiT The Arctic University of Norway and a guest researcher at the University of Oslo. She actively contributes to cutting-edge research in cloud/edge computing , machine learning , and energy-efficient IoT systems , with particular focus on air pollution monitoring and wind energy optimization . Current roles: Postdoctoral Research Fellow (UiT), Guest Researcher (University of Oslo) Research projects: HAPADS, MISO, EMLEMS, DILUTE, AirQMan Research group: Arctic Green Computing (AGC) Contact: qixia.zhang@uit.no , +47 96 64 67 05 Her research integrates artificial intelligence with distributed systems to enhance environmental monitoring technologies and renewable energy systems. Recent work demonstrates expertise in autonomous data collection , vehicular edge computing , and machine learning-driven wind energy modeling . Publication Trends reveal a focus on IoT/5G network optimization (2019-2021), wind energy analytics (2022-2023), and intelligent environmental monitoring (2024-2025). Her work bridges computer science with climate science through interdisciplinary applications of transfer learning and control theory . Teaching : Instructor for INF-2300 Computer Communication at UiT.
Stanislav Lange is an Associate Professor at the Department of Information Security and Communication Technology at the Norwegian University of Science and Technology (NTNU). His research focuses on network function virtualization, 5G/6G network slicing, quality of service (QoS), quality of experience (QoE), and machine learning applications for network management. His recent publications address decentralized autoscaling, 5G New Radio scheduling impacts, and survivability of network slices during outages. Key trends in his work include network intelligence, in-network computing, and deterministic performance guarantees in virtualized environments. Lange contributes to teaching courses in network programming, cybersecurity, and computer networks for instrumentation. His collaborations span IEEE conferences and journals, addressing challenges in network virtualization, resource optimization, and next-generation communication systems.
Qixia Zhang is a Postdoctoral Research Fellow in Computer Science at UiT The Arctic University of Norway and a guest researcher at University of Oslo. Their research spans multiple cutting-edge domains including cloud/edge computing, AI and machine learning, distributed systems, energy efficiency, and IoT applications. Zhang is actively involved in several major research projects including HAPADS, MISO, EMLEMS, eX3, DILUTE, and AirQMan, which focus on environmental monitoring, energy efficiency, and advanced computing systems. Dr. Zhang completed their educational journey at Huazhong University of Science and Technology in China, earning a B.Eng. degree in 2016 and a Ph.D. degree in 2021. Additionally, they studied Economics at Wuhan University from 2014-2016. Their academic path demonstrates a strong interdisciplinary foundation combining computer science with economic perspectives. Zhang's research interests focus on the intersection of computing technologies and environmental sustainability. They investigate how edge and cloud computing architectures can be optimized for energy efficiency while supporting demanding applications like air pollution monitoring and renewable energy integration. Their work on machine learning applications spans multiple domains including wind energy forecasting, IoT data collection, and vehicular edge computing. The research demonstrates a consistent theme of applying computational intelligence to solve real-world environmental challenges. The publication record reveals a strong trajectory in both theoretical and applied research. Early work focused on network function virtualization and edge computing infrastructure, while more recent publications show increasing emphasis on environmental applications including air pollution monitoring, wind energy analysis, and climate-related computing challenges. The research demonstrates a clear evolution toward addressing sustainability challenges through advanced computing techniques, with recent publications heavily featuring Norwegian environmental contexts. Best Paper Award of IEEE/ACM IWQoS 2019 National Scholarship of China for PhD First-class Academic Scholarship Outstanding Graduate Award Excellent Student Cadre Scholarship Zhang serves as a guest editor for Journal Symmetry's Special Issue on Applications based on Symmetry in Machine Learning and Data Mining. They are actively involved in multiple research projects funded by the Research Council of Norway, including HAPADS, MISO, EMLEMS, eX3, DILUTE, and AirQMan. These projects represent significant funding commitments to advance computing technologies for environmental monitoring and energy efficiency. Zhang is also a member of the Arctic Green Computing (AGC) research group at UiT. Based at UiT's Department of Computer Science in Tromsø, Zhang collaborates with the Arctic Green Computing research group and maintains active connections with University of Oslo's Department of Informatics. Their research environment bridges theoretical computer science with practical environmental applications, leveraging Norway's unique position in Arctic research and renewable energy development. The recent guest researcher position at Karlsruhe Institute of Technology further demonstrates their international research network and collaborative approach.
