This study is the first step in exploring an emerging and previously understudied data stream - verbal communication between healthcare providers and patients. In partnership between Columbia Engineering, School of Nursing, Amazon, and the largest home healthcare agency in the US, the study will investigate how to use audio-recorded routine communications between patients and nurses to help identify patients at risk of hospitalization or emergency department visits. The study will combine speech recognition, machine learning and natural language processing to achieve its goals.

This is an UNPAID research project.

Faculty Advisor

  • Professor: Zoran Kostic
  • Department/School: Electrical Engineering / SEAS
  • Location: Shapiro 813
  • Applications of Signal Processing, Deep Learning and Internet of Things to Smart Cities, Healthcare and medical problems, and Wireless Communications.

Project Timeline

  • Earliest starting date: 3/1/2021
  • End date: 8/31/2021
  • Number of hours per week of research expected during Spring 2021: ~10
  • Number of hours per week of research expected during Summer 2021: ~20

Candidate requirements

  • Skill sets: Machine learning, Deep Learning, Signal Processing, Video Processing, Data Analysis, Software Development, Cloud Computing, GPUs.
  • Student eligibility: freshman, sophomore, junior, senior, master’s
  • International students on F1 or J1 visa: eligible
  • Academic Credit Possible: Yes