Headshot of Lin Guo

Lin Guo

Assistant Professor

Assistant Professor

Industrial Engineering (IE)

Education

B.S., Zhongnan University of Economics and Law
M.S., Shanghai Jiao Tong University
Ph.D., University of Oklahoma

Brief Bio

Lin Guo is an assistant professor in the Department of Industrial Engineering. She holds a B.S. in Management Information Systems and an M.S. in Management Science with a focus on Operations Research and Data Analysis. After earning her M.S., Lin worked as an Industrial Engineer from 2011 to 2016. Her passion for knowledge creation and educating the next generation of engineers led her to pursue a Ph.D. in Industrial and Systems Engineering, which she completed at the University of Oklahoma in 2021. She then joined the faculty at South Dakota School of Mines and Technology. Lin is an active member of ASME (American Society of Mechanical Engineers) and INFORMS (Institute for Operations Research and the Management Sciences).

Research Expertise

Lin Guo’s research centers on machine learning-based optimization, advanced manufacturing, and cyber-physical systems, focusing on enhancing algorithms and optimization techniques to improve system robustness. Her work spans manufacturing, quality control, supply chain management, healthcare queuing, network design, decision support systems, and product end-of-life management. With over 20 publications, she co-authored the monograph: Architecting Satisficing Strategies for Designing Complex Systems. Passionate about academia, she aims to empower students to reach their full potential through knowledge creation and transfer.

Selected publications:

Wang, R., Guo, L., et al., 2024. Decision-guidance method for knowledge discovery and reuse in multi-goal engineering design problems. Advanced Engineering Informatics61, 102502.

Guo, L., Allen, J.K., et al., 2024, “Optimize or Satisfice in Engineering Design,” Research in Engineering Design, 35(3), 239-267.

Guo, L., Milisavljevic-Syed, J., et al., “Managing Multi-Goal Design Problems using Adaptive Leveling-Weighting-Clustering Algorithm,” Research in Engineering Design, 34(1), 39-60.

Teaching

Dr. Guo is dedicated to cultivating lifelong learners, crucial in today's dynamic landscape. By nurturing self-reflection, students develop critical thinking and autonomy. She strikes a balance between practical skills and theoretical knowledge, preparing students for real-industry demands. Central to her approach is prioritizing student success and fostering a supportive learning environment.

Course Listing

IENG 301/302 (Basic) Engineering Economics
IENG 366 Engineering Management

IENG 415/515 Decision Analysis
IENG 441 Simulation
ENGM 435/535 Optimization Techniques
IENG/MATH 486 Statistical Quality and Process Control

ENGM 615 Nonparametric Statistics
ENGM 621 Statistical Process Control
ENGM 640 Business Strategies
ENGM 798 Thesis

Other Links

Research Gate
LinkedIn
YouTube