June 5, 2023
Students Received NSF Travel Scholarships to Attend QPRC
Saunak Panda and Tong Li received prestigious NSF travel scholarships to attend the 39th Quality and Productivity Research Conference (QPRC). They did the following poster presentations at the QPRC. Dynamic resource matching in manufacturing using deep reinforcement learning by Saunak Panda, Yisha Xiang, and Ruiqi Liu. Distributionally Robust Partially...
Learn MoreMay 30, 2023
Ying Successfully Defended Her Dissertation
Congratulations to Dr. Ying (Leticia) Liao who successfully defended her PhD on May 30th. The title of her dissertation was “Statistical Machine Learning on Time Series with Applications to Manufacturing and Healthcare”. Dr. Liao has received multiple offers from top universities in China and will be joining the Business School...
Learn MoreMay 24, 2023
2023 IISE Annual Conference
The IISE (IISE Annual Conference and Exposition) was held in New Orleans, LA. I served as the co-track chair for the 2023 IISE Annual Conference QCRE track and chaired two sessions: QCRE Best Track Paper Competition and NSF Proposal Writing Workshop. We made the following presentation. A Statistical Online...
Learn MoreMarch 4, 2023
Paper Accepted for Publication in the Leading Bioinformatics Journal
The paper “DeepMiceTL: a deep transfer learning based prediction of mice cardiac conduction diseases using early electrocardiograms” by Ying Liao, Yisha Xiang, Mingjie Zheng, and Jun Wang is accepted for publication in Briefings in Bioinformatics, a leading bioinformatics journal with an impact factor of 9.5. In this study, we collaborated...
Learn MoreJanuary 5, 2023
New AMI Grant
My proposal, “Statistical Machine Learning Methods for Analysis and Control of the HTS Manufacturing Process,” was funded for $34,971 by the Advanced Manufacturing Institute (AMI). The goal is to develop novel machine learning methods to control the manufacturing process of high-temperature superconductors (HTS). Thank you, AMI, for your support.
Learn MoreJanuary 4, 2023
Paper Accepted for Publication in the EJOR
The paper “Data-Driven Remanufacturing Planning with Parameter Uncertainty” by Zhicheng Zhu, Yisha Xiang, Yue Shi, and Ming Zhao is accepted for publication in the European Journal of Operational Research. We proposed a novel data-driven modeling framework for remanufacturing planning with parameter uncertainties. We model the remanufacturing planning problem as...
Learn MoreDecember 12, 2022
Presented on-line seminars at two Chinese Universities
This month, I presented an invited online seminar at the School of Management, Xi’an Jiaotong University, and at the School of Economics and Management, Nanjing Univ. of Aero. & Astro. I enjoyed both virtual visits and exchanges with the faculty and students there. Hope to have the opportunity to...
Learn MoreOctober 19, 2022
2022 INFORMS Annual Conference
The 2022 INFORMS was held in Indianapolis, IN. I organized and chaired the INFORMS QSR Best Paper Competition. I also served as a judge for the INFORMS QSR Best Poster Competition. My research group has made the following presentations.
Learn MoreOctober 17, 2022
Honored to Be Elected as Chair-Elect of the INFORMS Quality, Statistics, and Reliability Sector
I am honored and humbled to serve as the INFORMS QSR Chair-Elect. QSR provides a collegial forum for the timely exchange of cutting-edge ideas and for building professional collaborations and friendships. I have actively organized and participated in a number of QSR activities in the past. These responsibilities have...
Learn MoreSeptember 28, 2022
Presented a seminar in the IE department at the University of Miami
I presented an invited on-line seminar in the Department of Industrial Engineering at the University of Miami. Hope to visit the campus in-person in the future.
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