Noa Zilberman
Professor of Engineering Science
Leads the Computing Infrastructure Group on programmable networking hardware, including in-network machine learning.
Noa Zilberman's lab at Oxford works on distributed, cloud & edge systems and accelerators, chips & architecture. 31 papers since 2023. Applications close .
At a glance
- papers, 2023–2026
- 8/ year
- at T1 venues
- 0%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom the lab homepage, 2023–2026
- 6 papers2026 · T1 0 · collecting
- 8 papers2025 · T1 0
- 8 papers2024 · T1 0
- 9 papers2023 · T1 0
T1 venuesOther
Research focuspaper titles that use each topic's words
- programmable6 papers
- Distributed, cloud & edge systems5 papers
- Accelerators, chips & architecture0 papers
- networking0 papers
- infrastructure0 papers
Paper list
From the lab homepage.
20266 papers
- IEEE Computer Architecture LettersHardware-managed heterogeneous high-bandwidth memory and flash in LLM inference systems (opens in a new tab)
- NetSoftHyNIC: hybrid in-network inference for line-rate anomaly detection on smartNICs (opens in a new tab)
- IEEE Internet of Things JournalIn-network machine learning for real-time patient monitoring on IoMT edge gateways (opens in a new tab)
- European P4 WorkshopPlanPi: in-network machine learning via p4c-dpdk (opens in a new tab)
- NetSoftReal-time intrusion detection for IoMT with in-network inference on SmartNICs (opens in a new tab)
- Machine Learning: Science and TechnologyRoadmap on fast machine learning for science (opens in a new tab)
20258 papers
- ANRWCarbon-intelligent content scheduling in CDNs (opens in a new tab)
- ECAIData-centric strategies for carbon-efficient carbon-intensity forecasting (opens in a new tab)
- IEEE Transactions on Network and Service ManagementDesign, implementation, and deployment of multi-task neural networks in programmable data-planes (opens in a new tab)
- EdgeSysEdge acceleration of LiDAR frame transmission with in-network machine learning (opens in a new tab)
- Proceedings of the ACM on Measurement and Analysis of Computing SystemsFrom measurement to emissions: assessing the carbon footprint of traffic flows (opens in a new tab)
- IEEE Journal on Selected Areas in CommunicationsGuest Editorial: Special Issue on Advances in Internet Routing and Addressing (opens in a new tab)
- HPSRMUTA: enabling multi-task neural network inference in programmable data-planes (opens in a new tab)
- HotNetsThe small world web of AI (opens in a new tab)
20248 papers
- ECAIAccelerating machine learning for trading using programmable switches (opens in a new tab)
- ICINE-commerce bot traffic: in-network impact, detection, and mitigation (opens in a new tab)
- Transactions on Internet TechnologyFederated in-network machine learning for privacy-preserving IoT traffic analysis (opens in a new tab)
- SmartGridCommGridWatch: a smart network for smart grid (opens in a new tab)
- IEEE ACM Transactions on NetworkingIisy: hybrid in-network classification using programmable switches (opens in a new tab)
- European Conference on Artificial IntelligenceIn-network machine learning for real-time transaction fraud detection (opens in a new tab)
- HPSRINDDoS+: secure DDoS detection mechanism in programmable switches (opens in a new tab)
- ACM SIGCOMM Computer Communication ReviewPlanter: rapid prototyping of in-network machine learning inference (opens in a new tab)
20239 papers
- CoNEXTDINC: toward distributed in-network computing (opens in a new tab)
- Proceedings of the ACM on NetworkingExploring the benefits of carbon-aware routing (opens in a new tab)
- Security for IoT Networks and Devices in 6G (Sec4IoT) Workshop at IFIP NetworkingFederated learning-based in-network traffic analysis on IoT edge (opens in a new tab)
- IEEE Communications Surveys and TutorialsIn-network machine learning using programmable network devices: a survey (opens in a new tab)
- ACM Transactions on StorageIntroduction to the special section on USENIX ATC 2022 (opens in a new tab)
- IEEE International Conference on High-Performance Switching and RoutingLOBIN: in-network machine learning for limit order books (opens in a new tab)
- SIGCOMM WorkshopQCMP (opens in a new tab)
- FIRAQCMP: load balancing via in-network reinforcement learning (opens in a new tab)
- IEEE Internet of Things JournalTowards continuous threat defense: in-network traffic analysis for IoT gateways (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
Apply to Oxford2027-28
DPhil in Computer Science
- Round
- 2027-28 entry (January round)
- Opens
- —
- GRE
- See program page
- English
- See program page
- Fee
- See program page
Not yet confirmed for this intake.
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Data
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- The member list could not be found on the lab site.
- The alumni list could not be found on the lab site.
- Collected
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- The lab homepage
- Members
- Not collected
- Alumni
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