Multi-source Machine Learning for Healthcare
Vision
We leverage human-machine collaborative learning and multimodal context-aware deep learning to advance healthcare quality and equity.
Funded Projects
- Using human-centered AI for designing an intelligent telehealth training system – VT CHCI 2022
- Reducing Operating Room Waste by Monitoring Single-use Sterile Surgical Supplies with Computer Vision – NIH iTHRIV 2021
- Advancing Health Equity using Interactive Condition Assessment and Monitoring – National Science Foundation (NSF) 2021
- Determination of Safety Limits against Cyber Threats in Neuromodulation Devices using Machine Learning, Brain Phantoms, and Neural Pathways – Commonwealth Cyber Initiative (CCI) 2021
- Adaptive Artificial Intelligence to Model Consumer Behavior – Procter and Gamble 2017
- An Integrated Approach to Interactive Patient-Centric Monitoring – Xerox 2015
- Baby Activity Prediction for Effective Consumer Experience – Procter and Gamble 2014
- Baby Data Analytics: Towards Early Detection of Autism – PARC Internal Portfolio Investment Research Program 2014
Publications
- Prediction of Electric Fields Induced by Transcranial Magnetic Stimulation in the Brain using a Deep Encoder-Decoder Convolutional Neural Network – IEEE EMBS Conference on Neural Engineering (NER) 2023
- Prediction of Stimulation Strength of Transcranial Magnetic Stimulation in the Brain with Deep Encoder-Decoder Convolutional Neural Network – Bulletin of the American Physical Society (APS) 2023
- Prediction of Electric Fields Induced by Transcranial Magnetic Stimulation in the Brain using a Deep Encoder-Decoder Convolutional Neural Network – Preprint 2022
- Interactive remote patient monitoring and condition management intervention system – Patent Granted 2020
- Time, frequency and complexity analysis for recognizing panic states from physiologic time-series – PervasiveHealth 2016
- A wearable and mobile intervention delivery system for individuals with panic disorder – Mobile and Ubiquitous Multimedia (MUM) 2015
- Towards a mobile and wearable system for predicting panic attacks – Ubiquitous Computing (UBICOMP) 2015
- Method and apparatus for combining multi-dimensional fraud measurements for anomaly detection – Patent Granted 2014
- Fraud Detection for Healthcare – Knowledge Discovery and Data Mining (KDD) Data Mining for Healthcare 2013
