Data Plane Programming Professors and Supervisors in Denmark

Tara Maria BolandView profile

Research Fellow

Technical University of DenmarkDenmark

Tara Maria Boland is a Postdoc in the Department of Physics at the Technical University of Denmark, specializing in Computational Atomic-scale Materials Design. She maintains an active research profile with significant contributions to materials science infrastructure. Her research spans critical areas of modern computational science: Computational Materials Science and Atomic-scale Modeling Materials Discovery and Design Database Integration and Data Exchange Systems API Development for Scientific Applications 2D Materials and Heterostructures Machine Learning Applications in Materials Science Boland's publication record reveals a dual focus on fundamental materials research and practical computational tools. Her work on the OPTIMADE API has established new standards for materials data exchange, while her contributions to GPAW provide essential infrastructure for electronic structure calculations. The research demonstrates strong international collaboration across 10+ institutions with notable media coverage. As part of DTU Physics' Computational Atomic-scale Materials Design group, Boland collaborates extensively on projects advancing computational methodologies for materials science, with particular emphasis on creating accessible research infrastructure for the global community.

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Konstantin PavlikovView profile

Associate Professor

University of Southern DenmarkDenmark

Konstantin Pavlikov is an Associate Professor at the Department of Business & Management (DBM) under Strategic Organization Design (SOD) at the University of Southern Denmark. His research focuses on Operations Research, Integer Programming, and Stochastic Programming , with particular emphasis on vehicle routing optimization and network flow modeling. Education : PhD in Operations Research (University of Florida, 2014), MSc in Applied Mathematics (Moscow State University, 2007) His work spans combinatorial optimization and network interdiction problems , developing exact and approximate solution algorithms for complex logistics challenges. Recent publications analyze heterogeneous vehicle routing capacity inequalities and two-commodity flow formulations for routing problems. Scientific contributions have been recognized with the Best Reviewer Award (2019). He actively reviews for journals like Computational Management Science and supervises academic works through examination roles.

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Morten Konggaard SchouView profile

Assistant Professor

Aalborg UniversityDenmark

Morten Konggaard Schou is an Assistant Professor at the Department of Computer Science, Aalborg University, Denmark. His primary affiliation is with the Distributed, Embedded and Intelligent Systems group within The Technical Faculty of IT and Design. His research focuses on network verification, resilient networks, and formal methods applied to networking challenges such as ISP network analysis, MPLS protocols, and pushdown systems. He has contributed to tools like AalWiNes and PDAAAL, which address network reachability and resilience. Key research interests include quantitative verification of network systems, automated discovery of flow splitting ratios in ISP networks, and formal verification of pushdown systems. His work bridges theoretical computer science with practical network engineering, emphasizing fault tolerance and dependability in telecommunications infrastructure. He has published extensively in venues like IEEE Pacific Rim International Symposium on Dependable Computing and the Archive of Formal Proofs. Collaborations span academic and industry standards, with datasets deposited on Zenodo supporting reproducibility of his research. His 2023 PhD thesis, 'Quantitative Verification and Synthesis of Resilient Networks,' underpins much of his current work. He actively contributes to open-source tools for network analysis and formal methods validation.

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Eder Ollora ZaballaView profile

Researcher

Technical University of DenmarkDenmark

Eder Ollora Zaballa is a Senior Scientific Officer and researcher at the Technical University of Denmark (DTU), specifically affiliated with DTU Fotonik. His expertise spans software-defined networking, control and data plane programming, and next-generation network technologies with applications in telecommunications and transportation systems. His educational journey began with a Bachelor's degree in Telecommunication Engineering from the University of the Basque Country (EHU) in Bilbao, Spain, followed by a Master of Science in Telecommunication Engineering at DTU. He completed his PhD at DTU in 2022 with the thesis "Control and Data Plane Programming-driven SDN Management and Operation: A Top-Down Approach." Zaballa's research focuses on cutting-edge networking innovations including Software-Defined Networking (SDN), P4 programmable data planes, Network Function Virtualization (NFV), and their practical implementations. His work bridges theoretical frameworks with real-world applications, particularly in railway communication systems, cellular networks, and energy-efficient networking solutions. He has made significant contributions to open-source networking through the Open Networking Foundation ONOS community since 2016. His publication record shows a clear trajectory toward greener networking solutions, performance optimization of programmable hardware, and integration of SDN technologies in heterogeneous environments. Recent work demonstrates expertise in latency profiling of P4-based hardware, railway communication systems, and green cellular networks, with practical implications for network reliability, efficiency, and flexibility across multiple industries. Active contributor to European projects including Bandwidth-on-Demand (BoD), SDX-L2, NGPaaS, X2Rail-3, and X2Rail-5 Regular peer reviewer for Sensors journal and European Conference on Computer Systems Guest lecturer on SDN management, programmable networks, and P4 programming at multiple institutions Zaballa maintains strong international collaborations with research groups including the I2T Research Group at the University of the Basque Country, Networks and Intelligent Systems group at the University of Alcalá, and Fundació i2CAT. His work contributes to UN Sustainable Development Goals through advancements in green communications and efficient network infrastructure.

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Xiongfei WangView profile

Professor

Aalborg UniversityDenmark

Xiongfei Wang is a Professor at Aalborg University Energy within the Faculty of Engineering and Science . His research focuses on power electronics, grid stability, and data-driven control systems. He leads projects related to renewable energy integration and converter dynamics. Research Areas: Grid-interactive power converters, stability analysis, smart grid control Scientific Awards include IEEE Fellow (2023), Isao Takahashi Power Electronics Award (2022), Richard M. Bass Outstanding Young Engineer Award (2018), and multiple IEEE conference best paper recognitions. He has served as Executive Editor for IEEE Transactions on Power Electronics Letters and Vice Chair of IEEE PELS TC8. PhD Supervision includes projects on fast charging stations, small-signal stability, and HVDC-connected wind farms. His work is funded through programs like EUDP and AAU Talent .

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Rolf FagerbergView profile

Professor

University of Southern DenmarkDenmark

Rolf Fagerberg is a Professor in the Department of Mathematics and Computer Science at the University of Southern Denmark (SDU). His research centers on algorithms, data structures, and their applications in computational biology and cheminformatics. His research interests include: Algorithms and data structures, particularly dynamic and geometric data structures Graph theory with emphasis on subgraphs, Yao graphs, and hypergraphs Algorithmic cheminformatics and modeling of chemical reaction networks Computational biology, including metabolic pathway analysis Theoretical computer science and discrete mathematics Recent publications highlight a strong trend toward interdisciplinary research combining computer science with chemistry and biology, particularly in modeling chemical reaction networks using hypergraphs and mixed-integer linear programming. His work also includes algorithmic solutions for palindromic subsequence problems and efficient extraction of reaction rules from large databases, reflecting a blend of theoretical and applied algorithm design. Rolf Fagerberg has served as senior coordinator on multiple research projects, including 'Algorithmic Cheminformatics' and 'Fundamental Data Structures', funded by the Danish Ministry of Higher Education and Research. He has also contributed to peer review and editorial work for major conferences such as the ACM Symposium on Parallelism in Algorithms and Architectures and the International Symposium on Experimental Algorithms. He has supervised PhD students and is actively involved in academic service, including membership in assessment committees at Aarhus University and IT University of Copenhagen. His research has received media attention, including coverage of a 'mathematical breakthrough' and applications in understanding intestinal systems in obesity.

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Kaj-Åge HennebergView profile

Associate Professor

Technical University of DenmarkDenmark

Kaj-Åge Henneberg is an Associate Professor at the Department of Health Technology, Technical University of Denmark (DTU), specializing in the Digital Health UltraSound and Biomechanics research group. His academic career spans over two decades with significant contributions to biomedical engineering education and research in electrophysiology, cardiovascular biomechanics, and physiological transport phenomena. Dr. Henneberg has held several key administrative positions including Director of Undergraduate Studies, Track Coordinator for Biomechanics and Biomaterials in the Medicine and Technology program, and Chairman of the education committee for the Medicine and Technology program. He also serves as a young faculty supervisor at DTU. His research focuses on electrophysiology, cardiovascular biomechanics, and physiological transport, with particular expertise in biofilm research, biological age modeling, and biomechanical analysis of orthopedic conditions like Perthes' disease. His work spans both theoretical modeling and experimental validation, often employing boundary element methods, finite element modeling, and advanced signal processing techniques. Dr. Henneberg has supervised numerous PhD students and served as examiner for multiple doctoral committees. His research has been supported by various projects focusing on brain connectivity, fast plane wave imaging, computational management of aortic aneurysm repairs, and detection of epileptic seizures. He has been actively involved in curriculum development and educational innovation at DTU, contributing to the revision of qualification frameworks and addressing challenges in interdisciplinary education programs.

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