Can we detect COVID in the Internet?
COVID-19 has changed the way we use the internet, from taking classes to social interactions and entertainment. The FCC publishes a large dataset of network measurements from thousands of homes, with gigabytes of data. The project goal is to analyze the data and answer questions such as: Has the increased usage reduced internet speeds? Can we tell how much people are staying at home from data usage records? Is the increased use of video conferencing reflected in the upload metrics?
This is an UNPAID research project.
Faculty Advisor
- Professor: Henning Schulzrinne
- Department/School: Computer Science
- Location: 7LW1 CEPSR
- The IRT Lab
Project Timeline
- Earliest starting date: 10/1/2020
- End date: 12/15/2020
- Number of hours per week of research expected during Fall 2020: ~8
Candidate requirements
- Skill sets: Google cloud skills useful; statistics
- Student eligibility:
freshman,sophomore,junior, senior, master’s - International students on F1 or J1 visa: eligible
- Academic Credit Possible: Yes