Research on: (i) COSMOS cloud connected vehicles, (ii) Monitoring of traffic intersections, using bird’s eye cameras, supported by ultra-low latency computational/communications hubs; (iii) Simultaneous video-based tracking of cars and pedestrians, and prediction of movement based on long-term observations of the intersection; (iv) Real-time computational processing, using deep learning, utilizing GPUs, in support of COSMOS applications; (v) Sub-10ms latency communication between all vehicles and the edge cloud computational/communication hub, to be used in support of autonomous vehicle navigation. The research is performed using the pilot node of project COSMOS infrastructure.

Applications for this project will be accepted for the Spring and Summer terms separately. For the Spring term, the selected candidate(s) will receive a stipend directly from the faculty advisor. For the Summer term, one selected candidate will receive a stipend via the DSI Scholars program. Amounts are subject to available funding.

Faculty Advisor

  • Professor: Zoran Kostic
  • Department/School: EE / SEAS
  • Location: CEPSR 801
  • COSMOS applications: smart cities, smart intersections, cloud connected vehicles, applications of artificial intelligence.

Project Timeline

  • Earliest starting date for Spring: 3/12/2020
  • End date for Spring: 6/10/2020
  • Earliest starting date for Summer: 6/1/2020
  • End date for Summer: 8/28/2020
  • Number of hours per week of research expected during Spring 2020: ~10
  • Number of hours per week of research expected during Summer 2020: ~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