Se-young's primary focus is on researching and developing new technologies and services that enable the ESnet community to effectively utilize testbeds and prototype infrastructures. He also collaborates closely with team members to design and implement services that support a broad range of scientific communities.
He earned his M.S. and Ph.D. from the University of Auckland. His research interests include quantum networking testbeds, high-performance data movement, virtualization, AI data pipelines, and programmable data planes. During his doctoral studies, he conducted performance evaluations of high-speed data transfer protocols, including GridFTP and FDT. As a postdoctoral researcher at Sorbonne University (formerly University of Paris 6), he worked on mobile computation offloading for Android platforms. He later contributed to the development of DTN-as-a-Service orchestration and the integration of P4-programmable networking with Data Transfer Nodes (DTNs) at Northwestern University.
Journal Articles
Se-young Yu, Qingyang Zeng, Jim Chen, Yan Chen, Joe Mambretti,
“AIDTN: Towards a Real-Time AI Optimized DTN System With NVMeoF”,
IEEE Transactions on Parallel and Distributed Systems,
2023,
Se-young Yu, Jim Chen, Fei Yeh, Joe Mambretti, Xiao Wang, Anna Giannakou, Eric Pouyoul, Marc Lyonnais,
“Analysis of NVMe over fabrics with SCinet DTN-as-a-Service”,
Cluster Computing,
2021,
1--13,
Qinwen Hu, Se-Young Yu, Muhammad Rizwan Asghar,
“Analysing performance issues of open-source intrusion detection systems in high-speed networks”,
Journal of Information Security and Applications,
2020,
51:102426,
Jose Leal D Neto, Se-Young Yu, Daniel F Macedo, Jose Marcos S Nogueira, Rami Langar, Stefano Secci,
“ULOOF: A user level online offloading framework for mobile edge computing”,
IEEE Transactions on Mobile Computing,
2018,
17:2660--2674,
Conference Papers
Se-young Yu, Elia Perego, Justin Phillips, You-Wei Cheah, Prathwiraj Umesh, Guangqi Gao, Jiarui Liu, Ezra Kissel, Michael Bregar, Ke Sun, Qiming Wu, Raju Valivarthi, Erhan Saglamyurek, Wenji Wu, Maria Spiropulu, Hartmut Häffner, Inder Monga,
“A two-level control framework for quantum networks”,
2025 IEEE International Conference on Quantum Computing and Engineering (QCE),
August 31, 2025,
1:1302-1311,
Schon D, Umesh P, Cheah YW, Yu SY, Kissel E, Valivarthi R, Saglamyurek E, Ramakrishnan L, Wu W, Sipahigil A, Spiropulu M.,
“The QUANT-NET testbed development and preliminary results”,
2024 IEEE International Conference on Quantum Computing and Engineering (QCE),
September 15, 2024,
1:1799-1808,
Yu-Kuen Lai, Se-Young Yu, Iek-Seng Chan, Bo-Hsun Huang, Che-Hao Chang, Jim Hao Chen, Joe Mambretti,
“Sketch-based entropy estimation: a tabular interpolation approach using P4”,
Proceedings of the 5th International Workshop on P4 in Europe,
2022,
57--60,
Wenji Wu, Liang Zhang, Qiming Lu, Phil DeMar, Robert Illingworth, Joe Mambretti, Se-Young Yu, Jim Hao Chen, Inder Monga, Xi Yang, Tom Lehman, Chin Guok, John MacAuley,
“ROBIN (RuciO/BIgData Express/SENSE) A Next-Generation High-Performance Data Service Platform”,
2020 IEEE/ACM Innovating the Network for Data-Intensive Science (INDIS),
IEEE/ACM,
December 31, 2020,
Wenji Wu, Liang Zhang, Qiming Lu, Phil DeMar, Robert Illingworth, Joe Mambretti, Se-young Yu, Jim Hao Chen, Inder Monga, Xi Yang, others,
“ROBIN (RuciO/BIgData Express/SENSE) A Next-Generation High-Performance Data Service Platform”,
2020 IEEE/ACM Innovating the Network for Data-Intensive Science (INDIS),
2020,
33--44,
Qiming Lu, Liang Zhang, Sajith Sasidharan, Wenji Wu, Phil DeMar, Chin Guok, John Macauley, Inder Monga, Se-Young Yu, Jim Hao Chen, Joe Mambretti, Jin Kim, Seo-Young Noh, Xi Yang, Tom Lehman, Gary Liu,
“BigData Express: Toward Schedulable, Predictable, and High-Performance Data Transfer”,
2018 IEEE/ACM Innovating the Network for Data-Intensive Science (INDIS),
IEEE/ACM,
February 24, 2019,
Se-young Yu, Jim Chen, Fei Yeh, Joe Mambretti, Xiao Wang, Anna Giannakou, Eric Pouyoul, Marc Lyonnais,
“SCinet DTN-as-a-service framework”,
2019 IEEE/ACM Innovating the Network for Data-Intensive Science (INDIS),
2019,
1--8,
Se-young Yu, Jim Chen, Joe Mambretti, Fei Yeh,
“Analysis of CPU pinning and storage configuration in 100 Gbps network data transfer”,
2018 IEEE/ACM Innovating the Network for Data-Intensive Science (INDIS),
2018,
64--74,
Alessandro Zanni, Se-young Yu, Stefano Secci, Rami Langar, Paolo Bellavista, Daniel F Macedo,
“Automated offloading of android applications for computation/energy optimizations”,
2017 IEEE conference on computer communications workshops (INFOCOM WKSHPS),
2017,
990--991,
Alessandro Zanni, Se-Young Yu, Paolo Bellavista, Rami Langar, Stefano Secci,
“Automated selection of offloadable tasks for mobile computation offloading in edge computing”,
2017 13th international conference on network and service management (CNSM),
2017,
1--5,
Se-young Yu, Aniket Mahanti, Mingwei Gong,
“Benchmarking ISPs in New Zealand”,
2016 IEEE 35th International Performance Computing and Communications Conference (IPCCC),
2016,
1--7,
Se-young Yu, Nevil Brownlee, Aniket Mahanti,
“Characterizing performance and fairness of big data transfer protocols on long-haul networks”,
2015 IEEE 40th Conference on Local Computer Networks (LCN),
2015,
213--216,
Se-young Yu, Nevil Brownlee, Aniket Mahanti,
“Comparative analysis of big data transfer protocols in an international high-speed network”,
2015 IEEE 34th International Performance Computing and Communications Conference (IPCCC),
2015,
1--9,
Se-young Yu, Nevil Brownlee, Aniket Mahanti,
“Performance and fairness issues in big data transfers”,
Proceedings of the 2014 CoNEXT on Student Workshop,
2014,
9--11,
Andrew Luxton-Reilly, Paul Denny, Diana Kirk, Ewan Tempero, Se-Young Yu,
“On the differences between correct student solutions”,
Proceedings of the 18th ACM conference on Innovation and technology in computer science education,
2013,
177--182,
Se-young Yu, Nevil Brownlee, Aniket Mahanti,
“Comparative performance analysis of high-speed transfer protocols for big data”,
38th Annual IEEE Conference on Local Computer Networks,
2013,
292--295,
