Research & Engineering
Active research, engineering builds, and exploratory work across ML, embedded systems, autonomy, and vision.
AI Drone Platform
A custom-built autonomous quadcopter integrating onboard deep learning inference for obstacle detection, real-time navigation in GPS-denied environments, and vision-based target tracking. Built hardware-up — frame design, flight controller tuning, and a custom vision pipeline.
All Projects
Embedded AI Systems
Deploying quantized and pruned neural networks onto STM32 and Arduino Nano 33 BLE for real-time sensor classification with sub-5ms latency using TF Lite and Edge Impulse.
Computer Vision Research
Modular real-time vision pipeline for object detection, semantic segmentation, and depth estimation. Targeting Raspberry Pi + Coral TPU for edge deployment.
Autonomous Ground Vehicle
1/10 scale autonomous platform with LiDAR-based SLAM, lane detection, and behavioral cloning from human demonstrations for testing planning algorithms.
ML Foundations Library
NumPy implementations of core ML algorithms from scratch — backpropagation, attention, convolutions, and optimizers. Used for member training and math grounding.
Swarm Coordination System
Multi-agent coordination protocols for drone swarms using distributed consensus, mesh communication, and emergent behavior design. Planned for Fall 2025.
Want to build these?
All projects are open to lab members. Join the lab to contribute, or star the repos on GitHub.