Noga H. Rotman

Hi! I am Noga, a Postdoc at the Technion, working with Prof. Mark Silberstein. I am deeply honored to have been named an Andrew and Erna Finci Viterbi Postdoctoral Fellow for the year 2024/5.

I am passionate about multidisciplinary research, and collaborating across different fields. My research interests include, but are hardly limited to:

Networking, particularly internet protocols
Systems and Security
Machine Learning
Data and exciting datasets

I did my PhD at the Hebrew University of Jerusalem, under the supervision of Prof. Michael Schapira. In my PhD thesis, titled "Safe Deployment of Deep Learning Solutions for Rate Control Problems", I focused on solving Networking problems using ML in a safe, deployable manner.

During my graduate studies, I interned twice (summer/fall 2018 and 2019) at VMware Research Group in Palo Alto, mentored by Israel Cidon. In the past (2012-2018), I have held several positions at Altair Semiconductor (now a Sony company), the latest of which was Computer Vision Researcher.

I have always believed in the power of a supportive and collaborative community. At the Hebrew University, I founded a special seminar for graduate students ("Off the Record"), which was so well-received that it became an official mandatory course, offering students an opportunity to engage in a safe environment. In 2022, 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 Baot and Queen B.

I can be reached at noga.rotman at mail huji ac il.

Publications

Online Safety Assurance for Learning-Augmented Systems
Noga H. Rotman, Michael Schapira, Aviv Tamar. HotNets 2020.
[Short Paper], [Slides], [Video]
Also see [Short Paper] 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]
Also see [Short Paper] from Deep Reinforcement Learning Workshop, NeurIPS 2018.

Manuscripts

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]

Other

Tackling Deployability Challenges in ML-Powered Networks
Noga H. Rotman. ACM SIGMETRICS PER 2023.
[Short Paper], [Slides]
Based on an invited talk at the ACM SIGMETRICS Workshop on Measurements for Self-Driving Networks.