Angelos Pelecanos


I am a second-year Ph.D. student in Computer Science at UC Berkeley, fortunate to be advised by Prof. Shafi Goldwasser.

My research interests lie in the theoretical analysis of practical cryptosystems, such as block ciphers, and in cryptography in the quantum age.

In Spring 2022 I received an M.Eng. degree from MIT, where I was lucky to work under the supervision of Prof. Vinod Vaikuntanathan. I graduated with a bachelors degree in Computer Science and Engineering and in Mathematics in Spring 2021 from the same institution. I am grateful for the mentorship of Prof. Virginia Vassilevska Williams during my undergraduate studies.

Email: apelecan at berkeley dot edu.


Publications

On the Computational Hardness of Quantum One-Wayness. [pdf]
Bruno Cavalar, Eli Goldin, Matthew Gray, Peter Hall, Yanyi Liu, Angelos Pelecanos

Classical vs Quantum Advice under Classically-Accessible Oracle. [pdf]
Xingjian Li, Qipeng Liu, Angelos Pelecanos, Takashi Yamakawa
ITCS 2024, QIP 2024

Layout Graphs, Random Walks, and the t-wise independence of of SPN block ciphers.
Tianren Liu, Angelos Pelecanos, Stefano Tessaro, Vinod Vaikuntanathan
CRYPTO 2023


Non-Asymptotic t-wise Independence of Substitution-Permutation Networks. [pdf]
MEng Thesis.
An issue was found with the main theorem of Section 4 (O(t)-round MiMC is t-wise independent). The current version does not contain the original result, but includes most of the techniques that may be of independent interest.

Education

Ph.D. in Computer Science 2022 - Present
University of California Berkeley
M.Eng. in Computer Science and Engineering 2021 - 2022
Massachusetts Institute of Technology
B.Sc. in Computer Science and Engineering and Mathematics 2017 - 2021
Massachusetts Institute of Technology

Talks

Classical vs Quantum Advice and Proofs under Classically-Accessible Oracle Layout Graphs, Random Walks, and the t-wise independence of of SPN block ciphers

Activities

Reviewer for CRYPTO 2023, ITCS 2023, 2024, QIP 2023, 2024.
Teaching Assistant for Quantum Query Complexity, PCMI Graduate Summer School, July 2023

Teaching

Advanced Algorithms (MIT 6.854)Fall 2021
Teaching Assistant
Design and Analysis of Algorithms (MIT 6.046)Fall 2020, Spring 2021
Teaching Assistant

Professional Experience

Hudson River TradingSummer 2021
Algorithm Developer Intern
CitadelSummer 2019
Software Engineering Intern
Tech Square TradingWinter 2019
Quantitative Trading Intern
QuantCoSummer 2018
Software Engineering Intern