Yoav Noah

Q: What is Yoav Noah email address?

Email Yoav Noah at yoav1131@gmail.com and yoav@sites.google.com. This email is the most updated Yoav Noah's email found in 2026.

Q: How to contact Yoav Noah?

To contact Yoav Noah send an email to yoav1131@gmail.com or yoav@sites.google.com. (updated on July 2026)

Researcher at ShlezingerLab | Israel

Profile last verified July 2026

Higher Education Verified Profile Israel Ben-Gurion University of the Negev

Yoav Noah’s Email & Phone Number

Verified

Work Email

***@bgu.ac.il

Last verified May 2026

Personal Email

***@gmail.com

Personal • High Confidence

Phone Number

(**) *** *** 200

Israel • Phone

Free account · No credit card · 5 profiles/month

Yoav Noah Work Experience

Researcher at ShlezingerLab in September 2020 - Present

Automation and system developer at Telicomm in July 2020 - December 2021

Student Intern at Ceragon Networks in June 2017 - June 2019

Yoav Noah Education

Ben-Gurion University of the Negev, Master of Science - MS, August 2026

Ariel University, Bachelor of Science (BSc), August 2026

Yoav Noah Skills

Python (Programming Language) Deep Learning Computer Vision Machine Learning Algorithms MATLAB Optimization of distributed systems Distributed Systems PyTorch Adaptive Signal Processing Estimation Theory Communication Video Processing Pandas (Software) Image Processing Linux SQL Test Automation Manual Testing Network Analyzers (Electrical) Network Traffic Analysis Shell Scripting TensorFlow MATHLAB C++ Unix CUDA Digital Imaging Semiconductors Electrical Engineering Microwave Radio Frequency (RF) Internet Protocol (IP) Debugging Fiber Optics Quality of Service (QoS) Machine Learning Signal Processing Switches Self Learning TDM Carrier Ethernet

Yoav Noah’s Colleagues

Adir Sheetrit

Be'er Sheva, South District, Israel

Electrical Engineering MSc Student @BGU

MSc Research at ShlezingerLab
(Oct 2025 – Present)

Tal Pardo

Tel Aviv District, Israel

MSc student in signal processing and deep learning

Specializing in model-based deep learning, integrating domain-specific signal processing with generative AI architectures. Designing and training ML models for advanced dynamic adaptive systems and developing signal processing algorithms using diffusion and reinforcement learn...