NEWS

Xin Zan passed her proposal defense and is officially a PhD candidate. Congrats, Xin! (04/27/2023)

Katherine Hughes passed the defense for her honor’s thesis. Congrats, Katie! (04/21/2023)

Xin Zan has received the Linda Parker Hudson Graduate Fellowship from the ISE department. Congrats, Xin! (04/14/2023)

Xin Zan’s paper “Data-driven Adaptive Testing Resource Allocation Strategies for Real-time Monitoring of Infectious Diseases” won the third place of the COVID Information Commons (CIC) 2022 Student Paper Challenge. Congrats, Xin!

Xin Zan’s poster “Data-driven Adaptive Testing Resource Allocation Strategies for Real-time Monitoring of Infectious Diseases” was the Honorable mention for 2022 INFORMS QSR Student Poster Competition. Congrats, Xin!

Xin Zan and Dongmin Li presented at the INFORMS annual conference at Indianapolis, IN, 10/2022.

Xin Zan and Minsung Kang presented at the IISE annual conference at Seattle, Washington, 05/2022.

Minsung Kang participated in the 2022 IISE DAIS Data Analytics Competition and was selected as a finalist. Congrats, Minsung!

Xin Zan’s paper “Data-driven Adaptive Testing Resource Allocation Strategies for Real-time Monitoring of Infectious Diseases” was selected as finalist of the QCRE best track paper at 2022 IISE annual conference. Congrats, Xin!

Dr. Xian and Dongmin Li presented at the 2021 INFORMS Annual Meeting at Anaheim, California, 10/2021.

Dongmin Li and Xin Zan participated in the 2021 INFORMS QSR Data Challenge and was selected as a finalist. Congrats, Dongmin and Xin!

Dongmin Li’s paper “Online Monitoring with Mobile Sensors: Data-driven Pathwise Sampling Strategies” was selected as finalist of the Best referred paper in Quality, Statistics, and Reliability Section of INFORMS 2021. Congrats, Dongmin!

Dongmin Li and Minsung Kang joined the DISIDE lab in 08/2021. Welcome!

Dr. Xian’s paper “Spatiotemporal modeling and real-time prediction of origin-destination traffic demand” was featured in Advances in Engineering and YoungStatS, 08/2021.

Xin Zan joined the DISIDE lab in 08/2019. Welcome!

RECOGNITION

• Best Student Paper Award, the 16th International Conference on Brain Informatics (BI 2023), “MMDF-ESI: Multi-Modal Deep Fusion of EEG and MEG for Brain Source Imaging”, 2023.
• NIBIB Trailblazer Award for New and Early Stage Investigators, NIH, 2022.
• Honorable mention, INFORMS QSR Student Poster Competition, “Online Monitoring with Mobile Sensors: Data-driven Pathwise Sampling Strategies,” 2022.
• Finalist, QCRE best track paper at IISE annual conference, “Data-driven Adaptive Testing Resource Allocation Strategies for Real-time Monitoring of Infectious Diseases”, 2022.
• Cottmeyer Family Faculty Fellowships, Spring 2022.
• Finalist, Best referred paper finalist in Quality, Statistics, and Reliability Section of INFORMS, “Online Monitoring with Mobile Sensors: Data-driven Pathwise Sampling Strategies”, 2021.
• Feature Article “Spatiotemporal modeling and real-time prediction of origin-destination traffic demand” in AIE and YoungStats, 08/2021.
• Finalist, QCRE Best Student Paper Competition, “A Distribution-free Approach for Process Monitoring with Partial Observations based on Thompson Sampling”.
• Second runner-up, IEEE Transactions on Automation Science and Engineering Best paper Award, “Causation-based Monitoring and Diagnosis for Multivariate Categorical Processes with Ordinal Information”, 2020.
• ENIGMA Conference 2021, Diversity grant.
• Invited talks at the Technometrics (2018) and Journal of Quality Technology (2019) invited session in the INFORMS conference.