Tackling Fine-Grained Robot Manipulation Tasks Using Multi-Modal Reinforcement
I am working in the IRIS lab at Stanford University on a project that uses reinforcement learning to get robots to do relatively tricky tasks like peeling a banana or extracting a block from a cloth bag.
"Monitoring Human Activity with Wi-Fi Metadata"
I use machine-learning and CSI (Channel State Information) metadata from an ESP32 WiFi prototyping board to sense human movement in an enclosed space.
"Improving LSTM Neural Networks for Better Short-Term Wind Power Predictions"
I created modified LSTM (Long Short Term Memory) Neural Networks and used auxiliary weather forecast data to improve ultra-short wind farm output predictions, for use in a smart grid.
Published in IEEE Renewable Energy and Power Engineering (REPE) Conference, 2019
"Non-Invasive Detection of Sudden Infant Death Syndrome (SIDS) Through Recurrent Neural Networks"
I created auditory monitoring hardware and recurrent neural networks to track and analyze the breathing patterns of a sleeping person for signs of respiratory irregularity.