Hoa Vu

Hoa Vu is an Associate Professor in the Department of Computer Science at San Diego State University's College of Engineering. His research spans theoretical computer science and machine learning with applications to data streams and distributed systems.

Research interests focus on sketching, streaming, and distributed algorithms with recent work integrating machine learning predictions into classical algorithmic frameworks. Key contributions include advancements in densest subgraph detection, maximum coverage problems, and graph decomposition techniques for distributed environments.

His publication trends show consistent contributions to top theoretical conferences (STOC, PODC, PODS) with increasing focus on learning-augmented algorithms since 2022. Recent work combines classical theoretical guarantees with practical machine learning applications.

• NSF award for research funding
• Program committee member for ISAAC 2025

Dr. Vu advises graduate students in theoretical computer science and algorithms research. His work demonstrates strong connections between theoretical foundations and practical streaming/distributed systems applications, particularly in graph algorithms and data summarization.