SDM 2024 Workshop | [“Data Science for Smart Manufacturing and Healthcare Workshop”]
Data Analytics and Machine Intelligence Lab - Home
Description: [“<a href="https://www.siam.org/conferences/cm/program/workshops/sdm23-workshops">DS2-MH Workshop</a> at <a href="https://www.siam.org/conferences/cm/conference/sdm23">SDM23</a> on April 27 2023 at Minneapolis”]
In the era of the Internet of things (IoT), with the rapid development of advanced sensing, data storage, and high-performance computing technologies, both manufacturing industries and healthcare systems are experiencing a data‑driven revolution. However, the unique characteristics of manufacturing and healthcare systems prevent the direct application of existing data-driven methods. Their characteristics include (1) systematic physical principles; (2) high demand for interpretability, robustness, and trust
This workshop aims to demonstrate the recent research progress of data science, which focuses on addressing the unique challenges in manufacturing and healthcare systems, such as the gaps in data quality assurance, domain-aware data analytics, improvement of trustworthiness, etc. We cordially invite submissions that focus on recent advances in research/development of data science, which are motivated by real-world problems in manufacturing and healthcare. Papers and/or posters focus on both theoretical foun
Dr. Xiaoyu Chen , Assistant Professor, University of Louisville
SDM 2024 Workshop | [“Data Science for Smart Manufacturing and Healthcare Workshop”]
Data Analytics and Machine Intelligence Lab - Home