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Policy-driven architectures for autonomous systems

Primary Investigators:
Janos Sztipanovits
Brief Description of Project:
Autonomous Vehicle (AV) technology provides services that are based on vehicles that are equipped with sensing, communication and computation  resources that enable vehicles to recognize their location, their status, and to communicate with each other and the surrounding Intelligent Transportation System (ITS) infrastructure. The research will address the impacts of privacy restrictions on the performance of AV services using ISIS'simulation platforms.

Desired Qualifications:
CS or CEE student with some programming background.
Nature of Supervision:
The student will work with ISIS faculty and staff as part of a student team including undergraduate research interns from Germany.
A Brief Research Plan (period is for 10 weeks):
1. Understanding AV architectures (1 weeks).
2. Understanding the modeling of privacy policies as restrictions on information flows. (1 week)
3. Learning about ISIS traffic simulation platform.(1 week)
4. Designing AV service experiments to understand the impact of privacy restrictions.(1 weeks) 
5. Computational experiments (4 weeks)
6. Evaluating of results and report writing (2 weeks). 

Number of Open Slots: 1
Contact Information:
Name: Janos Sztipanovits
Department: Electrical Engineering and Computer Science