Scholar
abhishek balasubramaniam
Google Scholar ID: Nnnfr6QAAAAJ
Colorado state university | Qualcomm technologies
Citations & Impact
Citations
158
H-index
5
i10-index
3
Publications
8
Co-authors
4
list available
Resume
Research Experience
- ADAS/AI Software Engineer: Working with Qualcomm Automotive team on ADAS AI model performance and deployment.
- Graduate Research Assistant: Working on deep learning model optimization techniques for low power perception for autonomous vehicles at the EPiC lab at Colorado state university under the guidance of Dr. Sudeep Pasricha.
- Graduate Teaching Assistant: Serving as a GTA for ECE 452 Computer Architecture and Organization taught by Dr. Sudeep Pasricha, helping in preparing course material, assignments, resolving student queries, and grading.
- Object Detection Model Compression: Recreated the SSD object detection model using TensorFlow and Keras (not using TF object detection API), focusing on mixed-precision pruning, iterative layer-by-layer pruning, and quantization.
- ROS Based Stereo Vision System: Developed a stereo vision-based autonomous navigation system that uses a deep learning model for object detection and navigation, along with ROS for communication and an Android app with ROS backend for GPS data acquisition.
- CAVS Technical Advisor: As part of the CSU vehicle innovation team for Ecocar Mobility challenge, responsible for coming up with ideas to improve CAVS system performance.
Education
- Working on deep learning model optimization techniques for low power perception for autonomous vehicles at the EPiC lab at Colorado State University under the guidance of Dr. Sudeep Pasricha.
Background
- Research interests include Deep Learning, Model optimization, Connected and automated vehicles, Reinforcement Learning, Generative AI, and Image processing. Currently working as an ADAS/AI Software Engineer at Qualcomm Technologies.
