About Me

I am a 3rd year PhD student in Electrical Engineering at the University of Colorado Boulder under the supervision of Prof. Tamara Silbergleit Lehman. My research focuses on creating and implementing security metrics for computer hardware systems.

I obtained my MSc in Electrical Engineering in 2024 and my BSc in Electrical and Computer Engineering in 2022 at the University of Colorado Boulder. During my undergraduate degree, I researched applications of VR/AR to lunar robotics under the guidance of Prof. Jack O. Burns.

I also interned at Apple in Cupertino, CA over the summer of 2024. I worked with the CoreOS – Vector & Numerics group to accelerate machine learning.

You can reach me at: phaedra.curlin{at}colorado.edu

Publications

P. S. Curlin, J. Heiges, C. Chan, and T. S. Lehman, “A Survey of Hardware-Based AES SBoxes: Area, Performance, and Security,” ACM Comput. Surv., vol. 57, no. 9, Apr. 2025. 10.1145/3724114.

paper code

S. Thomas, K. Workneh, A.-T. Ishimwe, Z. McKevitt, P. Curlin, R. I. Bahar, J. Izraelevitz, and T. Lehman, “Baobab Merkle Tree for Efficient Secure Memory,” IEEE Computer Architecture Letters, vol. 23, no. 1, pp. 33–36, 2024.

paper

Abstracts & Posters

P. Curlin, C. Chan, and T. Lehman, “S-box designs for an open-source AES ASIC,” Young Fellows Program in conjunction with the 60th ACM/IEEE Design Automation Conference (DAC), San Fransisco, CA, Jul. 2023.

poster

P. Curlin, C. Chan, and T. Lehman, “An ASIC implementation of an open-source AES engine,” 8th Career Workshop for Inclusion and Diversity Computer Architecture (CWIDCA) in conjunction with the 55th IEEE/ACM International Symposium on Microarchitecture (MICRO-55), Chicago, IL, Oct. 2022.

P. Curlin, M. Muniz, A. Muniz, and J. Burns, “Troubleshooting Lunar Rover Failures: A Virtual Reality Digital Twin and Environment,” NASA Exploration Science Forum, Boulder, CO, Jul. 2022.

abstract poster

Artifact Evaluation Committee Member

2025: ISCA.