Yao Xie

Education

Ph.D. in Electrical Engineering and minor in Mathematics (Advisers: David Siegmund and Andrea Goldsmith) Stanford University, 09/2006-01/2012

M.S. in Electrical Engineering University of Florida, 08/2004-08/2006

B.S. in Electrical Engineering and Information Science University of Science and Technology of China (USTC), 09/2000-07/2004

Academic Positions

Coca-Cola Foundation Chair and Professor Georgia Tech, 2023-present

Associate Director Machine Learning Center Georgia Tech, 2020-present

Associate Professor H. Milton Stewart School of Industrial and Systems Engineering Georgia Tech, 2019-2023

Harold R. and Mary Anne Nash Early Career Professor H. Milton Stewart School of Industrial and Systems Engineering Georgia Tech, 2017-2023

Adjunct Assistant Professor School of Electrical and Computer Engineering Georgia Tech, 2018-present

Assistant Professor H. Milton Stewart School of Industrial and Systems Engineering Georgia Tech, 2013-2019

Research Scientist Electrical and Computer Engineering (Supervisers: Robert Calderbank and Rebecca Willett) Duke University, 2011-2013

Academic Editorship

Associate Editors, Operations Research. 2024-
Associate Editor, Journal of the American Statistical Association, Theory and Methods (JASA-T&M). 2023-
Associate Editor, Annals of Applied Statistics. 2025-
Associate Edito, Technometrics, 2025-
Associate Editor, IEEE Transactions on Information Theory. 2022-
Associate Editor, American Statistician. 2021-
Associate Editor, INFORMS Journal on Data Science. 2020-
Associate Editor, IEEE Transactions on Signal Processing. 2018-2023.
Associate Editor, New England Journal of Statistic in Data Science. 2022-
Associate Editor, Sequential Analysis, Design Methods and Applications, by Taylor & Francis.
Editorial Board Reviewer, Journal of Machine Learning Research.
Leading Guest Editor, IEEE Journal on Selected Area on Information Theory (JSAIT), Special Issue on "Sequential, active, and reinforcement learning". 2020.
Guest Editor, IEEE Intelligent Systems Trends & Controversies (T&C), Special Issue on System Informatics, 2015.
Area Chair, NeurIPS 2021-2025, ICML 2023-2025, ICLR 2024-2025.
Senior Program Committee, AAAI 2025.

Awards and Honors

Member of Cohort 2026, New Voices in Sciences, Engineering, and Medicine Program, National Academies.
IEEE Information Theory Society Distinguished Lecturer, 2026–2027.
Executive Leadership in Academic Technology, Engineering, and Science (ELATES) Fellow, 2025- 2026 Cohort.
CWS Woodroofe Award, 2024.
INFORMS Donald P. Gaver, Jr. Early Career Award for Excellence in Operations Research, 2022.
Finalist for Daniel H. Wagner Prize for Excellence in Operations Research, 2021.
Georgia Tech Emerging Leaders Program, 2020.
National Science Foundation (NSF) CAREER Award, 2017.
Georgia Tech Serve-Learn-Sustain Fellow, 2017.
Class of 1969 Teaching Fellow, Georgia Tech, 2015.
General Yao-Wu Wang Stanford Graduate Fellowship, 2007-2010.
Pan Wen Yuan Scholarship, 2007.
Alumni Fellowship, University of Florida, 2004-2006.
Best Undergraduate Thesis Award, University of Science and Technology of China (USTC), 2004.
Zongzhi Zhang Science and Technology Scholarship, USTC, 2003.
National Olympiad in Informatics in Provinces (NOIP), First Prize; selected for the Provincial Team (one of three students selected province-wide), China, 1999.

Research Paper Awards

Runner-Up, INFORMS Computing Society (ICS) Student Paper Award, 2024.
Finalist, INFORMS Data Mining Best Paper Award Competition, 2024.
Runner-Up, Best Paper Award, IJCAI Workshop on AI for Time Series (AI2TS), 2023.
Finalist, INFORMS QSR Best Student Paper Competition, 2023.
Finalist, 18th INFORMS Data Mining & Decision Analytics (DMDA) Workshop Best Paper Competition, Applied Track, 2023.
Winner, 18th INFORMS Data Mining & Decision Analytics (DMDA) Workshop Best Paper Competition, Theoretical Track, 2023.
Student Paper Competition, American Medical Informatics Association (AMIA) Annual Symposium, 2022.
Winner and Runner-Up, INFORMS Poster Competition, 2022.
Winner, Applied Best Paper Competition, 17th INFORMS Data Mining & Decision Analytics (DMDA) Workshop, 2022.
Finalist, INFORMS Data Mining Best Paper Competition Award (Student Track), 2022.
Finalist, INFORMS Wagner Prize for Excellence in Practice of Advanced Analytics and Operations Research, 2021.
Best Paper Award (Honorable Mention), ICML Time Series Workshop, 2021.
Best Paper Award, 16th INFORMS Workshop on Data Mining and Decision Analytics, Finalist, 2021.
Best Paper Award, 15th INFORMS Workshop on Data Mining and Decision Analytics, Second Place, 2020.
Second Place, INFORMS Doing Good OR for Social Good Paper Competition, 2019.
Finalist, INFORMS QSR Best Student Paper Competition, 2019.
Runner-Up, INFORMS Computing Society (ICS) Best Student Paper Competition, 2019.
Best Student Paper Award, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2019.
Finalist, INFORMS Social Media Analytics Best Student Paper Competition, 2018.
Finalist, INFORMS QSR Best Student Paper Competition, 2018.
Best Poster Award, IMA Workshop on Forecasting from Complexity, 2018.
Finalist, INFORMS QSR Best Student Paper Competition, 2017.
Finalist, Best Student Paper Award, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2007.
First Place, Best Student Paper Award, IEEE Asilomar Conference on Signals, Systems, and Computers, 2005.

Funded Projects and Gifts

Office of Naval Research (ONR). Co-PI. Structure discovery in complex dynamic networks. 07/01/2024-06/30/2027. PI at Johns Hopkins: Carey E. Priebe.

National Science Foundation (NSF) DMS-2220495. PI. Collaborative Research: ATD: a-DMIT: a novel Distributed, MultI-channel, Topology-aware online monitoring framework of massive spatiotemporal data. 09/2023-08/2026.

National Science Foundation (NSF) CHE-2226663. Co-PI. MFB: Novel Graph Neural Networks to Understand, Predict, and Design Allosteric Transcription Factors. 09/2022-08/2025.

National Science Foundation (NSF) CNS-2220387. PI. Collaborative Research: IMR: MM-1A: MapQ: Mapping Quality of Coverage in Mobile Broadband Networks using Latent Gaussian Process Models. 10/2022-09/2025.

National Science Foundation (NSF) DMS-2134037. PI. MODL: Bridging Statistical Hypothesis Tests and Deep Learning for Reliability and Computational Efficiency. 01/2022-12/2024.

National Science Foundation (NSF) CCF-1650913. PI. CAREER: Quick Detection for Streaming Data Over Dynamic Networks. 7/2017-6/2022.

National Science Foundation (NSF) EEC-2113821. Co-PI. IUCRC Planning Grant: Georgia Tech: Center for Digital Factory Innovations (CDFI). 7/2021-6/2022.

National Science Foundation (NSF) CMMI-2015787. Co-PI. Data-Driven Optimal Police Patrol Zone Districting and Staffing. 10/2020-9/2023.

National Science Foundation (NSF) DMS-1938106. PI. Sequential Detection and Prediction for Solar Situation Awareness in Power Networks. 8/2019-7/2022.

National Science Foundation (NSF) CMMI-1917624. Co-PI. Workshop on Decision Analytics for Dynamic Policing, in Arlington, Virginia; May 9-10, 2019. PI, Victoria C. Chen. Co-PIs, Yuan Zhou, Burcu B. Keskin, James P. Brooks, and Yao Xie. 3/2019-2/2020.

National Science Foundation (NSF) DMS-1830210. PI. ATD: Scanning Dynamic Spatial-Temporal Discrete Events for Threat Detection. 10/2018-9/2022.

National Science Foundation (NSF) CMMI-1538746. Co-PI. Combining statistical process control and optimization via simulation for robust sensor network design in the presence of sensor measurement error. 8/2015-12/2018. PI Seong-Hee Kim (Georgia Tech) and Co-PI Aral Mustafa (Georgia Tech).

National Science Foundation (NSF) CCF-1442635. PI. Collaborative Research: CyberSEES: Real-time ambient noise seismic imaging for subsurface sustainability. 1/2015-12/2019. Collaborating with PI WenZhan Song (University of Georgia) and PI Fan-Chi Lin (University of Utah).

Emory Hospital. Co-PI. Sepsis Physiomarkers for Appropriate Risk Knowledge of monitored patients in the ICU (SPARK-ICU). 09/2021-06/2026.

Emory Hospital. Co-PI. EQuitable, Uniform and Intelligent Time-based conformal Inference (EQUITI) Framework. 09/2021-06/2026.

Rockefeller Foundation Grant, 2022 CLP 017. Part of CellWatch project, to develop a researcher- and citizen-friendly tool suite, which comprises an app for measuring mobile broadband availability and quality in the U.S. through dashboards with maps tailored to the needs of specific user populations, to understand mobile broadband gaps to ensure accessibility of healthcare, financial, and educational services. 7/1/2022 - 12/31/2023.

Meta Research. (Gift). Robust, scalable, and explainable online change-point detection algorithms for time-series data. 2022.

Atlanta Police Foundation Award. PI. Atlanta police zone redistricting considering neighborhood integrity using big-data analytics and optimization. 6/2022-6/2023.

Argonne National Lab. PI. Data-driven resiliency model and prediction for large-scale power grids in extreme conditions. 7/2021-6/2022.

Cisco Research. Techniques to analyze and predict anomalous or erroneous situations in the supply chain and automatic adaption resulting from the analysis. Co-PI. 7/2021-6/2022.

Cisco Research. Demand planning optimization (including machine learning). Co-PI. 7/2021-6/2023.

Nissan. Co-PI. Smart vehicle distribution logistics. 1/2021-1/2022.

Macy's Technology. Real-time anomaly detection of fraudulent transactions. 1/2019-12/2019.

City of South Fulton. PI. Optimal police zone resign for the city of South Fulton using big-data analytics. 4/2019-12/2019.

Strategic Environmental Research and Development Program (SERDP). PI at Georgia Tech. Predictive coating condition model for advanced asset management. 11/2019-12/2021. PI Fritz Friedersdorf (PI), Casey Jones (PI). Co-PI at Georgia Tech: Mark Losego, Josh Kacher.

Atlanta Police Foundation Award. PI. Optimal police zone redistribution using statistical predictions with city growth factors. 7/2018-12/2018.

SF Express. Co-PI. Data-driven courier scheduling and management for express services. 10/2017-9/2018. PI George Lan (Georgia Tech), Co-PI Enlu Zhou (Georgia Tech), Co-PI Alex Shapiro (Georgia Tech).

Adobe Research Gift Award. PI. Multi-arm bandit problems in non-stationary environments. 2017.

Atlanta Police Foundation Award. PI. Crime correlation detection from large-scale APD police report data. 7/2017-6/2018.

Georgia Tech IMAT Seed Grant Award. Dynamically Responsive Scanning Diffraction for High-Throughput Analysis of Phase Assemblage in Functional Complex Oxides". 10/2016-7/2017. Collaborating with J. Kacher and M. Losego at the School of Material Science, Georgia Tech.

Visiting Faculty Research Program (VFRP), Air Force Research Lab, Information Directorate, Summer 2016.

Georgia Family Foundation Seed Grant, Sequential blood pressure changepoint detection, founded in Feb. 2014. PI, Turgay Ayer (Georgia Tech).

NSF CNS-1551297. PI. NSF Student Travel Grant for the 10th ACM International Conference on Underwater Networks and System (WUWNet'15). 10/2015-3/2016.

Professional Service

Elected IEEE SAM (Sensor Array and Multichannel) Technical Committee member, 2019-present.
Elected Member of the IEEE MLSP (Machine Learning and Signal Processing Technical Committee, 2015-2018.
TPC, IEEE CAMSAP 2015.
Finance Chair, ACM 10th WUWNet 2015, Washington DC.
Social Media and SigView Chair, 3rd IEEE GlobalSIP Global Conference on Signal and Information Processing, December 2015, Orlando, Florida.
Organizing Chair, Modeling and Optimization: Theory and Application (MOPTA), Lehigh University, 2014 special session on ``information theory and optimization.''
Organizing Chair, Information Processing for Big Data symposium, 2nd IEEE Global Conference on Signal and Information Processing, December 3-5, 2014, Atlanta, Georgia, USA.
Session Chair, IEEE Statistical Signal Processing Workshop (SSP), Aug. 2012
Session Chair, Asilomar Conference on Signals, Systems, and Communications, Oct. 2013, Oct. 2012
Session Chair, Third International Workshop in Sequential Methodologies, June, 2011.
Reviewer for IEEE Trans. Information Theory, IEEE Trans. on Signal Processing, IEEE Sel. Topic Signal Processing, IEEE Trans. on Communications, IEEE Trans. on Wireless Communications, Annals Statistics, J. Royal Statistical Society Ser. B.