Machine Learning to Detect Cravings and Stress in Patients With Substance Use Disorder

2019 (Summer) - Present

Wearable Sensor Framework

Image reproduced with permission from CHIA Lab

The goal of the project is to develop machine learning algorithms for the detection of carvings and stress in individuals with substance abuse.

I have been working on developing different machine learning models that can detect stress and drug cravings in patients with substance use disorder. I am also working with RAE Health to develop a real time intervention system for the treatment of substance use disorder.

Article 1   |   Article 2

EIT Toolkit

2021 (Summer) - Present

EIT-Kit

Image reproduced with permission from HCIE Lab

The goal of the project is to propose an electrical impedance tomography (EIT) toolkit for designing and fabricating health and motion sensing devices.

I worked on the follow-up project of the Electrical Impedance Tomography (EIT) kit. I added more features to the EIT mobile visualization API and performed benchmark tests for the image reconstruction algorithm.

Echolocation Robot

2020 (Spring)

Echolocation Robot

The goal of the project was to build a robot that can avoid obstacle using ultrasonic sound emitter and receiver

In this project, I implemented the circuitry of the robot and programmed the Arduino UNO micro-controller.

Video   |   Repository

Machine Learning Algorithms for the Prediction of Bradycardia Risk in Preterm Infants

2019 (Summer) - Present

Infant Apnea

Image reproduced with permission from CHIA Lab

The goal of the project is to understand the physiological mechanisms associated with apnea of prematurity and develop machine learning algorithms for the prediction of life-threatening events in preterm infants.

I have been working on developing machine learning based risk stratification algorithm for preterm infants.