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Baskin School of Engineering
Computer Science and Engineering
Associate Professor
Faculty
Regular Faculty
Engineering Building 2
541B
SOE3
My area of expertise lies in the design and analysis of algorithms, along with their various applications. My current research focuses on two main areas. Firstly, I'm interested in strengthening traditional worst-case algorithms by incorporating machine learning predictions. This involves exploring how machine learning can improve the performance of algorithms in situations where the worst-case scenario might not be the most common. Secondly, I'm passionate about developing meta-algorithms that can be easily adapted to solve a wide range of problems. This research has a particular emphasis on scheduling and resource allocation. In addition to these current interests, I also maintain a strong interest in database theory and the development of big data algorithms, particularly those that leverage massively parallel processing. Overall, I'm driven by a passion for tackling fundamental algorithmic problems. My research encompasses a broad spectrum of areas, including approximation algorithms, online algorithms, combinatorial optimization, scheduling algorithms, game theory, machine learning, and database theory.
- Best paper finalist. ACM Symposium on Parallelism in Algorithms and Architectures, 2021, 2024
- NSF Career Award, 2019
- Best student paper award, ACM-SIAM Symposium on Discrete Algorithms, SODA 2010
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