Sara Ahmadian
Sara Ahmadian is a research scientist in the Geo Algorithms research team, which is part of the broader Athena org. Sara earned degrees in Combinatorics and Optimization (M.M. 2010, Ph.D. 2017) from University of Waterloo, where she was advised by Chaitanya Swamy and supported by a NSERC Fellowship. Sara is a recipient of 2017 University of Waterloo Outstanding Achievement in Graduate Studies (Ph.D.) designation for her PhD thesis. She worked as a software developer for a start-up company in Waterloo after completing her Master's and before starting her PhD. Prior to that, She completed Bachelor of Science in Computer Engineering in Sharif University of Technology, Tehran, Iran. Her research interests include efficient machine learning, combinatorial optimization, approximation algorithm, and design and analysis of algorithms.
Authored Publications
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Efficient Location Sampling Algorithms for Road Networks
Vivek Kumar
Ameya Velingker
Santhoshini Velusamy
WebConf (2024)
KwikBucks: Correlation Clustering with Cheap-Weak and Expensive-Strong Signals
Sandeep Silwal
Andrew Nystrom
Andrew McCallum
International Conference in Learning Representation (ICLR) (2023) (to appear)
Distributed load balancing: a new framework and improved guarantees
Allen Liu
Binghui Peng
Innovations in Theoretical Computer Science (2021)
Fair Hierarchical Clustering
Benjamin Moseley
Marina Knittel
Yuyan Wang
Neurips 2020
Bisect and Conquer: Hierarchical Clustering via Max-Uncut Bisection
Vaggos Chatziafratis
AISTATS, AISTATS, AISTATS (2020), AISTATS (to appear)
Fair Correlation clustering
23rd International Conference on Artificial Intelligence and Statistics (AISTATS 2020) (2020) (to appear)
