- Scott Aaronson (aaronson"at"cs.utexas.edu): Quantum computing, computational complexity.
- Anna Gal (panni"at"cs.utexas.edu): Computational complexity, communication complexity, coding theory, algorithms, and combinatorics.
- Adam Klivans (klivans"at"cs.utexas.edu): Learning Theory, computational complexity, pseudorandomness, limit theorems.
- Dana Moshkovitz (danama"at"cs.utexas.edu): Probabilistically checkable proofs (PCPs), pseudorandomness, coding theory, algorithms.
- Greg Plaxton (plaxton"at"cs.utexas.edu): Algorithm design and analysis, algorithmic game theory.
- Eric Price (ecprice"at"cs.utexas.edu): Algorithms.
- Vijaya Ramachandran (vlr"at"cs.utexas.edu): Algorithm design and analysis, parallel computation, graph algorithms and data structures.
- Brent Waters (bwaters"at"cs.utexas.edu): Cryptography.
- John Wright (wright"at"cs.utexas.edu):
- David Zuckerman (diz"at"cs.utexas.edu): Randomness and computation, pseudorandomness, computational complexity, coding theory, distributed computing, cryptography.
- Chandra Bajaj (bajaj"at"cs.utexas.edu): Computational biology, visualization.
- Constantine Caramanis (constantine"at"utexas.edu): Robust and adaptable optimization, networks and machine learning.
- Inderjit Dhillon (inderjit"at"cs.utexas.edu): Machine learning/data mining and numerical linear algebra.
- Alex Dimakis (dimakis"at"austin.utexas.edu): Information theory, coding theory and machine learning.
- Warren Hunt Jr. (hunt"at"cs.utexas.edu): Formal methods.
- Joe Neeman (jneeman"at"math.utexas.edu): Probability theory and random graphs.
- Evdokia Nikolova (nikolova"at"austin.utexas.edu): Algorithms, combinatorial optimization and game theory.
- Bill Press (wpress"at"cs.utexas.edu): Computational biology.
- Sujay Sanghavi (sanghavi"at"mail.utexas.edu: Machine learning, high-dimensional statistics, networks, optimization and number linear algebra.
- David Soloveichik (david.soloveichik"at"utexas.edu): Natural computing, distributed computing and molecular programming.
- Rachel Ward (rward"at"math.utexas.edu): Mathematical signal processing, applied harmonic analysis, compressed sensing, theoretical computer science, and machine learning.
- Yosi Atia, hosted by Scott Aaronson.
- Jason Pollack, hosted by Scott Aaronson.
- Andrea Rochetto, hosted by Scott Aaronson.
- Ben Lee Volk, hosted by David Zuckerman and Dana Moshkovitz.
Recently Graduated Students
- Pravesh Kothari, now at Princeton soon to be CMU.
- Eshan Chattopadhyay, now at Cornell.
- Rezaul Alam Chowdhury, now at Stony Brook U.
- Allison Bishop, now at Columbia.
- Xin Li, now at Johns Hopkins University.
- Raghu Meka, now at UCLA.
- Seth Pettie, now at U. Michigan.
- Anup Rao, now at U. Washington.
- Sasha Sherstov, now at UCLA.
Current Graduate Students
- Udit Agarwal
- Siddhesh Chaubal
- Joshua Cook
- Surbhi Goel
- Kuan-Yi Ho
- William Hoza
- John Kallaugher
- Akshay Kamath
- Sushrut Karlmakar
- William Kretschmer
- Chi-Kit Lam
- Fu Li
- Daniel Liang
- Jiahui Liu
- Vignesh Manoharan
- Sebastian Oberhoff
- Justin Oh
- Patrick Rall
- Zhao Song
- Ridwan Syed
- Adrian Trejo Nunez
- Justin Yirka
- Ruizhe Zhang
We are proud of the prestigious awards our students have won at major TCS conferences:
- Eshan Chattopadhyay, Best Paper Award at STOC 2016.
- Sasha Sherstov, Best Student Paper Award (Machtey Prize) at FOCS 2009.
- Sasha Sherstov, Best Student Paper Award at Complexity 2008.
- Sasha Sherstov, Best Student Paper Award at Complexity 2007.
- Anup Rao, Best Student Paper Award (Danny Lewin Prize) at STOC 2006.
- Sasha Sherstov, Best Student Paper Award at COLT 2006.
- Vladimir Trifonov, Best Student Paper Award (Danny Lewin Prize) at STOC 2005.
- Seth Pettie, Best Student Paper Award at ICALP 2002.
- Seth Pettie, Best Paper Award at ICALP 2000.
- Pierre Kelsen, Best Student Paper Award at STOC 1992.
Spring 2021 Theory Seminars will meet on Fridays from 1:30 -2:30pm via a zoom invite. This schedule will be updated throughout the semester.
List of Graduate Courses
- CS 358H Intro to Quantum Information Science
- CS 388C Combinatorics & Graph Theory
- CS 388G Algorithms: Techniques & Theory
- CS 388H Cryptography
- CS 388M Communication Complexity
- CS 388P Parallel Algorithms
- CS 388R Randomized Algorithms
- CS 388T Theory of Computation
- CS 395T Coding Theory
- CS 395T Learning Theory
- CS 395T Pseudorandomness
- CS 395T Approximability
- CS 395T Algorithmic Game Theory
- CS 395T Quantum Complexity Theory
The 'algorithms' Mailing List
The algorithms mailing list is an electronic mailing list on which Theory Seminars are announced. If you are part of the UT community, you can add yourself to this mailing list by sending an e-mail message to help"at"cs.utexas.edu; please describe your UT affiliation along with your request to be added to the algorithms mailing list. You can remove your name from this mailing list at any time by sending a message requesting removal to help"at"cs.utexas.edu.