Hi! I am Noga, a Research Fellow in Machine Learning and Networking at the Computer Science Department, University College London, working with Prof. Ran Ben Basat.
My position is supported by a Schmidt Sciences Postdoctoral Award.
My research focuses on networked systems, from Internet transport protocols and cloud infrastructure to modern machine-learning systems. My work follows two complementary directions: designing systems across boundaries and understanding hidden and emergent system behavior.
My research focuses on networked systems, from Internet transport protocols and cloud infrastructure to modern machine-learning systems. My work follows two complementary directions: designing systems across boundaries and understanding hidden and emergent system behavior.
Before joining UCL, I was a Postdoctoral Researcher at the Technion, working with Prof. Mark Silberstein, and was named an Andrew and Erna Finci Viterbi Postdoctoral Fellow for the year 2024/5. I completed my PhD at the Hebrew University of Jerusalem under the supervision of Prof. Michael Schapira. My PhD research focused on developing safe and deployable ML approaches to network rate control.
During my graduate studies, I interned twice (summer/fall 2018 and 2019) at VMware Research Group in Palo Alto, mentored by Israel Cidon. Earlier in my career (2012-2018), I worked at Altair Semiconductor, where I held roles in software engineering, team leadership, and computer vision research.
I have always believed in the power of a supportive and collaborative community. At the Hebrew University, I founded and ran Off the Record (2014-2020), a graduate seminar where students could practice presenting their research and exchange feedback in a supportive environment. The seminar was incorporated into the Computer Science PhD program as a mandatory course in 2021. In 2023, I co-founded Baot Research, the research branch of a popular Israeli all-female tech group. I also served as a mentor throughout the years via different organizations, such as the aforementioned Baot community, as well as Queen B.
I can be reached at noga.rotman at mail huji ac il.
Publications
Peer-Reviewed Publications
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Online Safety Assurance for Learning-Augmented Systems
Noga H. Rotman, Michael Schapira, Aviv Tamar. HotNets 2020.
[Short Paper], [Slides], [Video]
Also see [Workshop Version] from Deep Reinforcement Learning Workshop and Challenges of Real-World RL Workshop, NeurIPS 2020. -
A Deep Reinforcement Learning Perspective on Internet Congestion Control
Nathan Jay†, Noga H. Rotman†, P. Brighten Godfrey, Michael Schapira, Aviv Tamar. ICML 2019.
[Paper], [Slides], [Video]
† Equal contribution
Also see [Workshop Version] from Deep Reinforcement Learning Workshop, NeurIPS 2018.
Invited Articles
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Tackling Deployability Challenges in ML-Powered Networks
Noga H. Rotman. ACM SIGMETRICS PER 2023.
[Article]
Based on an invited talk at the ACM SIGMETRICS Workshop on Measurements for Self-Driving Networks.
Manuscripts
Current Preprints & Manuscripts
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ML-for-ML
Yutong Zhao†, Noga H. Rotman†, Gianni Antichi, Ran Ben Basat. 2026.
[Short Paper]
† Equal contribution -
Avoiding Cross-Datacenter Collective Congestion via Disaggregated Buffering
Mariano Scazzariello, Noga H. Rotman, Dima Gavrilenko, Sajy Khashab, Alexander Shpiner, Matty Kadosh, Marco Chiesa, Dejan Kostic, Mark Silberstein. 2026.
[Paper] -
RFSeek and Ye Shall Find
Noga H. Rotman, Tiago Ferreira, Hila Peleg, Mark Silberstein, Alexandra Silva. 2025.
[Paper]
Led to a verified erratum to RFC 9293 (TCP).
Earlier Manuscripts & Technical Reports
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CloudCast: Characterizing Public Clouds Connectivity
Noga H. Rotman, Yaniv Ben-Itzhak, Aran Bergman, Israel Cidon, Igor Golikov, Alex Markuze, Eyal Zohar. 2022.
[Paper] -
Pied Piper: Rethinking Internet Data Delivery
Aran Bergman, Israel Cidon, Isaac Keslassy, Noga H. Rotman, Michael Schapira, Alex Markuze, Eyal Zohar. 2018.
[Paper]