My research primarily focuses on Real-Time Systems that utilize one or more accelerators, and the related schedulability and response-time bound challenges. My specific application area is autonomous driving systems.

Peer-Reviewed Journal Papers:

Peer-Reviewed Conference Papers:

Other Conference Papers:

  • T. Amert, M. Balszun, M. Geier, F.D. Smith, J. Anderson, and S. Chakraborty, “Timing-Predictable Vision Processing for Autonomous Systems”, Proceedings of the 24th Design, Automation, and Test in Europe Conference (DATE), Feburary 2021, to appear. PDF. Presentation: YouTube video.

Peer-Reviewed Workshop Papers:

  • T. Amert, “Challenges in Real-Time GPU Management”, Proceedings of the 13th Junior Researchers Workshop on Real-Time Computing (JRWRTC), pp. 5-8, November 2019. PDF.

  • N. Otterness, M. Yang, T. Amert, J. Anderson, and F.D. Smith, “Inferring the Scheduling Policies of an Embedded CUDA GPU”, Proceedings of 13th Annual Workshop on Operating Systems Platforms for Embedded Real-Time Applications (OSPERT), pp. 47-52, June 2017. PDF.


  • F1/10 Autonomous Racing Competition at CPS-IoTWeek in Montreal, Canada, April 2019. UNC team (alphabetically): Tanya Amert, Charlotte Dorn, Manish Goyal, Abolfazal Karimi, and Nathan Otterness, led by Dr. Parasara Sridhar Duggirala.

    • Winner: 1st place in time trials and head-to-head races.

Other Publications:

  • S. Yang, Z. Pan, T. Amert, K. Wang, L. Yu, T. Berg, M. Lin, “Physics-Inspired Garment Recovery from a Single-View Image”, ACM Transaction on Graphics (TOG), Volume 37, Issue 5, pages 1-14, November 2018. Link. arXiv Link. Video.

  • T. Kortz, “How Knowledge and Context of Radicals Influences a Person’s Ability to Learn to Read Chinese Characters”, Master of Engineering Thesis advised by Patrick H. Winston, MIT EECS, 2012. DSpace@MIT.