Dr. Na Zou

Assistant Professor, Corrie & Jim Furber 64' Faculty Fellow Department of Engineering Technology and Industrial Distribution Texas A&M University (TAMU) 204D Fermier Hall College Station, TX 77843 Email: nzou1@tamu.edu Office: (+1) 979-862-7825

Biography

Dr. Na Zou is a tenure-track assistant professor in the Department of Engineering Technology and Industrial Distribution. Her
research is in the area of data-driven modeling and knowledge discovery for tackling data challenges raised by large-scale, dynamic
and networked data from various real-world information systems. Specifically, Dr. Zou’s research focuses on fairness in machine learning,
interpretable machine learning, transfer learning, and network modeling and inference. The research projects have resulted in publications at
prestigious venues such as Technometrics, IISE Transactions and ACM Transactions, including one Best Paper Finalist and one Best Student Paper
Finalist at INFORMS QSR section, two featured articles at ISE Magazine and one student innovation award at AMIA annual symposium. She was the
recipient of IEEE Irv Kaufman Award and Texas A&M Institute of Data Science Career Initiation Fellow.

News

• 2023/8: Dr. Zou talked to the Eagle newspaper about how artificial intelligence systems may impact operations in local city government.
  

• 2023/8: Dr. Zou was interviewed by KAGS News (NBC) on bias in machine learnig and its potential impact.
  

• 2023/5: Dr. Zou received the prestigious NSF CAREER award.
  

• 2023/4: Dr. Zou was elected as the Data Analytics and Information Systems (DAIS) Division president of
  the Institute of Industrial and Systems Engineering (IISE).

Honors and Awards

• Faculty Early Career Development Program (CAREER), 2023
  National Science Foundation
  

• Knowledge Discovery and Data Mining (KDDM) Student Innovation Award, 2022
  The AMIA 2022 Annual Symposium
  

• Best Student Paper Award Finalist, 2022
  The AMIA 2022 Annual Symposium
  

• Texas A&M Institute of Data Science Career Initiation Fellow, 2021
  Texas A&M University
  

• Best Student Paper Award Finalist, 2019
  INFORMS QSR
  

• Best Paper Award Finalist, 2019
  INFORMS QSR
  

• Featured in ISE Magazine, 2018
  Institute of Industrial and Systems Engineers (IISE)
  

• TEES Travel Grant for NSF Workshop，2017
  Texas A&M University
  

• Selected to New Faculty Colloquium，2017
  Institute of Industrial and Systems Engineers (IISE)
  

• Irv Kaufman Award, 2015
  IEEE Foundation
  

Research Interests

• Machine Learning: Fairness in Machine Learning, Interpretable Machine Learning, Transfer Learning, Sparse Learning,
  Uncertainty Quantification

• Network Modeling and Inference: Dynamic Networks, Network Embedding with Heterogeneous Information, Anomaly Detection

• Brain Informatics: Connectivity Modeling from Neuroimaging, Cognitive Performance Assessment, Biomarker Identification,
  Disease Diagnosis and monitoring

Appointments

Tenure-track Assistant Professor                    Sep 2020 - present
Department of Engineering Technology and Industrial Distribution, Texas A&M University

Assistant Professor of Instruction                  Sep 2016 - Aug 2020
Department of Industrial and Systems Engineering, Texas A&M University