Bio
He is currently a postdoctoral research fellow with the department of computer science, National University of Singapore (NUS), and an adjunct research fellow with Advanced Digital Sciences Center (ADSC), University of Illinois at Urbana-Champaign (UIUC). His research interests are broadly in networking and systems, and more specifically on software-defined networking, programmable dataplanes, cloud networking, and network security. Walid Aljoby received the Ph.D degree in computer science from National University of Singapore (NUS) in 2020 and the M.Sc degree in computer engineering from Jordan University of Science and Technology (JUST) in 2013. During his Ph.D., he was advised by Prof. Richard T. B. Ma.
NEWs
- [Jul. 2021], presented An In-Network Performance Optimization for Improving User-Perceived QoE, in the IEEE NetSoft 2021 virtual conference (main program).
- [Jan. 2021], appointed as Adjunct Research Fellow with Advanced Digital Sciences Center, the research center of the University of Illinois Urbana-Champaign (UIUC) in Singapore.
- [Dec. 2020], started Postdoc work with NUS-Singtel Cyber Security R&D Lab and department of Computer Science, School of Computing, National University of Singapore.
- [Oct. 2020], received a Ph.D degree in computer science from National University of Singapore (NUS).
- [Apr. 2019], won I&E (Innovation & Entrepreneur) Practicum Award, School of Computing, National University of Singapore, Singapore.
- [Aug. 2019], An extended version of On SDN-Enabled Online and Dynamic Bandwidth Allocation for Stream Analytics, published in IEEE Journal on Selected Areas in Communications.
- [Sep. 2018], presented On SDN-Enabled Online and Dynamic Bandwidth Allocation for Stream Analytics, in the IEEE ICNP 2018 conference (main program), Cambridge, UK.
- [Oct. 2017], presented Impacts of Task Placement and Bandwidth Allocation on Stream Analytics, in the IEEE ICNP 2017 conference (NetBOS workshop), Toronto, Canada.
- [Mar. 2017], presented A Novel Software-Defined Networking Architecture for Stream Data Analytics, In NSDI (posters), Boston, MA, USA.