Rakesh Chowdary Machineni

I am a research scientist on the Artificial Intelligence Center of Excellence (AI-CoE) team at Rockwell Automation in Austin, TX.

My research at Rockwell Automation focuses on developing and deploying robust, end-to-end Computer Vision and Multimodal AI solutions for industrial automation environments. This involves designing closed-loop machine vision AI solutions that accommodate AI-driven data labeling, model training, performance monitoring, and analytics.

Before joining the AI-CoE, I was a graduate research assistant in the department of Electrical and Computer Engineering at the University of Michigan (U of M), advised by Prof. Hun-Seok Kim. My research concentrated on developing novel compression techniques for various modalities, including point clouds, video, and images.

Prior to my graduate studies at U of M, I received my Bachelor of Technology (B.Tech.) in Electrical Engineering from the Indian Institute of Technology (IIT) Tirupati, India.

Rakesh pic.

Contact

Inquiries and Academic Collaborations

Feel free to reach out via email or connect with me at LinkedIn for any queries.

Looking forward to connecting with you all!

News

December 2024

A patent titled "Efficiently handling noisy labels in Machine Vision applications" was filed.

July 2023

Started as a Research Scientist at Rockwell Automation, Austin, TX.

May 2023

Graduated from the University of Michigan with a Master's degree in Computer Vision.

February 2023

Our Paper titled "MMVC: Learned Multi-Mode Video Compression with Block-based Prediction Mode Selection and Density-Adaptive Entropy Coding" was accepted to CVPR 2023.

January 2022

Joined Prof. Hun-Seok Kim's lab as a Graduate Research Assistant.

August 2021

Began Master's program at University of Michigan, Ann Arbor.

December 2020

Presented my work on No Touch Checkout System at Toshiba Virtual Conference

July 2019

Joined Toshiba Software Pvt Ltd, as a Computer Vision Engineer.

May 2019

Our Paper titled "End-to-end deep learning-based fringe projection framework for 3D profiling of objects" was accepted to CVIU 2020.