Artificial Intelligence for Radar and Wireless Communication

Overview

Artificial Intelligence (AI) is powering a massive shift in the roles that computers play in our personal and professional lives. Most technical organizations expect to gain or strengthen their competitive advantage of using AI. AI workflows such as deep learning and machine learning are transforming industries with high impact. Radar and Wireless Communication industry is not exceptional from this AI mega trend.

In this webinar, MathWorks will discuss the emerging trends and challenges in Radar and Wireless Communication and ways to addressing the same using various AI techniques. As a part of this talk you will be able to understand the complete AI workflow which includes:

1. Data synthesis techniques that can be used to train Deep Learning and Machine Learning networks for a range of radar and wireless communications systems.
2. Understanding data set trade-offs between machine learning and deep learning workflows
3. Validating the AI models
4. Deploy the model in various platforms

About the Presenters

Uvaraj Natarajan is a Senior Application Engineer in MathWorks, focusing on the 5G/ LTE/ Wireless communication. Prior to MathWorks he has worked with Cisco Systems where he worked on Self-Optimizing Networks(SON) for the 5G/ LTE market and developed expertise on end-to-end LTE networks working closely with mobile operators across globe. He has industry expertise on LTE ENB protocol stack development, LTE PHY development. He has also worked at Centre for Communication Systems Research, UK on cognitive radios, relay systems, LTE-A, CoMP systems. Uvaraj holds a Masters degree in Mobile and Satellite Communications from University of Surrey, UK and BE in Electronics and Communications from Anna University, India.

Jayanth Balaji Avanashilingam works as an application engineer at MathWorks and primarily focuses on areas of data analytics for applications involving time-series data. Jayanth has extensive research and industrial experience including developing AI, machine learning, and deep learning solutions for retail optimization, computer vision and natural language processing, and other applications. Prior to joining MathWorks Jayanth was working as senior AI engineer at Impact Analytics, Bangalore. Jayanth holds a bachelor’s degree in electronics and communication engineering and a master’s degree in very large-scale integration design. He is currently pursuing his doctoral research with the thesis titled “Investigations into Faster Training of Deep Learning Algorithms for Modeling Time Series.”