Sai Bhargav Avula

I am currently working as a Computer Vision and Perception Engineer at Technology Innovation Institute(TII), Abu Dhabi where I am developing both Classical and Deep Learning based Computer Vision Algorithms for several R&D projects.

Previously, I had a brief but wonderful stay at Qualcomm as Senior Machine Learning Engineer, where I worked on the SNPE framework to enable Qualcomm SOCs to inference various deep neural networks.

I started my professional career with MathWorks, where I contributed by developing deep learning-based algorithms for LiDAR, Image Processing, Computer Vision, and Deep Learning Toolboxes.

I also interned at MathWorks where I developed a Traffic simulator for testing MATLAB’s Navigation and ADAS toolbox features.

I previously graduated from IIIT Hyderabad, where I was advised by Prof. K Madhava Krishna . There I primarily did research on motion planning, state estimation, Optimal control and Visual SLAM.

My research interests solving real world problems in robotics, computer vision intertwining with Deep Learning. When I am not doing research, I read, watch and write.

Fun Fact : My full name is more of a paragraph and it is " Venkata Seetharama Sai Bhargav Kumar Avula "

NEWS

June, 2023	Our work on Semantic Segmentation based on Multiple Granularity Learning is accpeted in IROS 2023.
April, 2023	Our work on Remote ID for separation provision and multi-agent navigation is accpeted in DASC 2023.
September, 2022	Joined TII, Abu Dhabi as Computer Vision and Perception Enginner.
May, 2022	Joined Qualcomm, Hyderabad as Senior Software Engineer.
June, 2020	Joined Deep Learning Team at MathWorks Hyderabad.
February, 2020	Reactive Navigation under Uncertainty through Hilbert Space Embedding of Probabilistic Velocity Obstacles accepted in IEEE RA-L + ICRA 2020.
January, 2020	SROM: Simple Real-time Odometry and Mapping using LiDAR data for Autonomous Vehicles accepted in IEEE IV 2020.
October, 2019	PIVO: Probabilistic Inverse Velocity Obstacle for Navigation under Uncertainty accepted in IEEE Ro-Man 2019.
June, 2019	Joined MathWorks as an Engineer in EDG.
April, 2019	Two Papers got accepted in Advances in Robotics(AIR) 2019.
April, 2019	Motion Planning Framework for Autonomous Vehicles: A Time Scaled Collision Cone Interleaved Model Predictive Control Approach accepted in IEEE IV 2019.
October, 2018	Joined MathWorks as an Intern.
April, 2018	A Novel Lane Merging Framework with Probabilistic Risk based Lane Selection using Time Scaled Collision Cone accepted in IEEE IV 2018.