Tersiteab Adem
Ph.D. Candidate in Computer Science & Engineering
University of Michigan

I am a Ph.D. candidate in Computer Science & Engineering at the University of Michigan, advised by Prof. Valeria Bertacco. My research sits at the intersection of computer architecture, energy-efficient computing, and autonomous systems.

I began my doctoral work on sustainable computing and energy-aware architectures. My current work focuses on hardware-software co-design for real-time point cloud based perception workloads, with a broader interest in how emerging computational demands shape architectural design. I earned my B.Sc. in Electrical and Computer Engineering from Addis Ababa University.

Outside research, I enjoy reading, photography, and board games.

Curriculum Vitae

Education
  • University of Michigan
    Ph.D. in Computer Science & Engineering
    Sep. 2022 - present
  • Addis Ababa University
    B.Sc. in Electrical & Computer Engineering
    Sep. 2015 - Dec. 2020
Experience
  • imec
    Architecture Performance Modeling
    Intern
    2025
  • University of Michigan
    Undergraduate Research
    Research Intern
    2021
News
2025
Two papers submitted: Mnemosyne (temporal reuse for LiDAR 3D detection) and AutoProbe (multi-level profiling of Autoware AD workloads).
Jul 01
Joined imec as an Architecture Performance Modeling Intern, profiling autonomous-driving perception workloads across heterogeneous platforms.
May 01
2024
Our paper Octal: Efficient Automatic Data-Oblivious Program Transformations to Eliminate Side-Channel Leakage was published at SecDev 2024. Paper
Oct 01
Our paper Evergreen: Comprehensive Carbon Model for Performance-Emission Tradeoffs was published at IISWC 2024. Paper
Sep 16
2022
Started my Ph.D. in Computer Science & Engineering at the University of Michigan.
Aug 29
Selected Publications (view all )
Octal: Efficient Automatic Data-Oblivious Program Transformations to Eliminate Side-Channel Leakage
Octal: Efficient Automatic Data-Oblivious Program Transformations to Eliminate Side-Channel Leakage

Biniyam Mengist Tiruye, Lauren Biernacki, Tersiteab Adem, Petros Mola, Todd M. Austin

IEEE Secure Development Conference (SecDev) 2024

A programming and transformation approach for expressing and generating data-oblivious programs that limit information leakage through memory-access side channels.

Octal: Efficient Automatic Data-Oblivious Program Transformations to Eliminate Side-Channel Leakage

Biniyam Mengist Tiruye, Lauren Biernacki, Tersiteab Adem, Petros Mola, Todd M. Austin

IEEE Secure Development Conference (SecDev) 2024

A programming and transformation approach for expressing and generating data-oblivious programs that limit information leakage through memory-access side channels.

Evergreen: Comprehensive Carbon Model for Performance-Emission Tradeoffs
Evergreen: Comprehensive Carbon Model for Performance-Emission Tradeoffs

Tersiteab Adem, Andrew McCrabb, Vidushi Goyal, Valeria Bertacco

IEEE International Symposium on Workload Characterization (IISWC) 2024

A holistic carbon model and carbon-aware scheduling framework for studying performance-emission tradeoffs across compute, network, and energy-storage infrastructure.

Evergreen: Comprehensive Carbon Model for Performance-Emission Tradeoffs

Tersiteab Adem, Andrew McCrabb, Vidushi Goyal, Valeria Bertacco

IEEE International Symposium on Workload Characterization (IISWC) 2024

A holistic carbon model and carbon-aware scheduling framework for studying performance-emission tradeoffs across compute, network, and energy-storage infrastructure.

All publications