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General Information
| Full Name | Bharath Sivaram |
| bharathsivaram10@gmail.com |
Education
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2023 M.S. Robotics
University of Minnesota - Gained understanding of the ML/DL fundamentals and implemented methods for popular computer vision tasks such as classification, segmentation and pose-estimation
- Experience in reproducing research papers and releasing open-source code, also implemented SLAM and other tasks on hardware through various course projects.
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2021 B.S. Mechanical Engineering
University of Minnesota - Built a strong foundation in control systems, dynamics, and automation.
- Acquired practical experience with sensors and actuators, integrating theoretical knowledge through hands-on projects.
Experience
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2023-Present Research Engineer II
Bush Combat Development Center - Working on multi-object tracking for autonomous fleets
- Fusing camera and LiDAR data for efficient object localization.
- Hardware integration to enable inter-vehicle observation sharing.
- Extracting semantic information such as color and size for tracking algorithms.
- Exploring and implementing deep-learning approaches to tracking.
- Integrating within Army software stack to enhance mission planning.
- Working on multi-object tracking for autonomous fleets
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2022-2023 Graduate Research Assistant
University of Minnesota - Worked under Professor Zongxuan Sun
- Developed a Fault Detection and Isolation (FDI) framework for electro-hydraulic actuators, model-based data generation for tool selection.
- Tested and optimized neural nets for application.
- Presented at the CCEFP Summit to industry and academia.
- Published work in ASME Letters in Dynamic Systems and Control.
- Worked under Professor Zongxuan Sun
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2021 Mechanical Engineering Intern
GRIP Molecular - Designed outer housing and tested sample delivery methods for a graphene-based POC (point-of-care) diagnostic device.
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2020-2021 Undergraduate Research Assistant
University of Minnesota - Investigated 2D flow dynamics by coding MATLAB simulations and building a test rig for physical experiments.
Tools/Skills
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Languages
- C++, Python, MATLAB, OpenCV, PyTorch, SciKit Learn, Open3D
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Frameworks
- ROS, OpenCV, PyTorch, Numpy, Tensorflow, , Pandas, Scikit-learn, Spark
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Specialties
- Deep Learning, Camera-LiDAR Calibration, Object Tracking, Pose Estimation, System Integration
Other Interests
- Soccer, Basketball, Music, and Coffee