Huiying Chen

Huiying Chen is pursuing her Ph.D. degree under the supervision of Dr. Huiping Cao in Computer Science at New Mexico State University (NMSU). She is working in The Knowledge Discovery and Data Mining (KDD) research lab at NMSU. Huiying serves as the Data Scientist for the Sustainable Southwest Beef project while providing Data Mining and Decision Support to the USDA-Agricultural Research Service team. Prior to joining NMSU and the SW Beef Project, Huiying was a Business Analyst in New Zealand, where she provided reporting and analytic support to stakeholders in Retail and Fintech industry.

Huiying’s research interests are in the general areas of Data Mining, Applied Machine Learning, and Edge Computing. In particular, she is interested in creating effective and efficient computational methodologies for the discovery of useful knowledge from complex data (e.g., sequences and graphs) through pre-defined mining requests or ad-hoc queries. Moreover, she is working on meeting the high computation and low-latency requirements of deep learning on edge devices and provides additional benefits in terms of privacy, bandwidth efficiency, and scalability.