Graduate Research Assistant at the University of Michigan ― Real-Time Computing Laboratory.
I am investigating security and privacy aspects of connected vehicles.
You can find below a summary of my research and teaching experience that spans academia and industry.
I am investigating security and privacy aspects of connected vehicles.
I worked on Android Automotive security with my supervisors Nils Ole Tippenhauer and Sven Bugiel.
I developed a light-weight V2V-based anomaly detection scheme for connected vehicles.
I worked on Threat Analysis and Risk Assessment (TARA) for products, as well as conducted a high-level security analysis of Android Automotive for next-generation in-vehicle infotainment (IVI) platforms.
I investigated a privacy protection scheme for vehicular time-series data using differential privacy.
I investigated a firewall design for the next-generation automotive domain architecture.
I investigated context-aware automotive intrusion detection systems. Additionally, I worked on writing requirements for Uptane , a SOTA platform for vehicles.
I designed test cases to validate the AUTOSAR Ethernet stack and ran a selection of those on an OEM ECU to test its Automotive Ethernet adaption.
I developed some extensions to a CAN data logger implementation as part of my embedded software design internship.
I worked on creating electronic circuits to test the functionality of relay samples produced locally at the factory site.
Classes taught: EECS 571 Principles of Real-Time Embedded Systems (Fall Term 2021)
Classes taught: Electricity and Magnetism (Summer Term 2013), Analog Signal Processing (Winter Term 2013/14), Stochastic Signals (Winter Term 2013/14), Introduction to Computer Architecture (Summer Term 2014)