Hi! I am Noga, a Postdoc at the Technion, advised by Prof. Mark Silberstein. I did my PhD at the Hebrew University of Jerusalem, under the supervising of Prof. Michael Schapira.

My research interests include, but are hardly limited to:

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

I love doing multidisciplinary research, and collaborating across different fields. 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.

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.

• 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.

• 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]

• 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.