Chunjiang Zhu

Research Overview

Dr. Zhu has been using theory, principles, and methods in algorithm design, particularly graph algorithm design to solve problems in many other areas, for example, machine learning, drug discovery and development, and cyber-physical systems. Specifically, Dr. Zhu has worked on dynamic graph learning and optimization problems for machine learning and artificial intelligence, and designed graph structures such as spectral sparsifiers and graph spanners and systems to support various types of queries in graphs.  For drug discovery, he has studied graph-based indexing algorithms for accelerating chemical similarity search, and designed benchmarking on the several advanced indexing algorithms. Earlier, he also designed healthcare cyber-physical systems, and data structures and algorithms in advanced memory chips.

Research Support

Dr. Zhu’s research has been supported by the National Science Foundation (NSF), the National Institutes of Health (NIH), and the Extreme Science and Engineering Discovery Environment (XSEDE).

About

Dr. Zhu joined UNCG in January 2021 as an assistant professor. Before joining UNCG, he was at the University of Connecticut as a postdoc from 2018 to 2020. Dr. Zhu received his PhD in Computer Science from City University of Hong Kong.