Scholar
Feng Ju
Google Scholar ID: upemnMUAAAAJ
Associate Professor of Industrial Engineering, Arizona State University
Citations & Impact
Citations
1,074
H-index
18
i10-index
33
Publications
20
Co-authors
0
Contact
No contact links provided.
Publications
Resume (English only)
Academic Achievements
- Best Student Paper Finalist Award, IEEE Conference on Automation Science and Engineering (CASE), 2023; Best Paper Award, IISE Transactions, 2021; Best Healthcare Paper Award Finalist, IEEE Conference on Automation Science and Engineering (CASE), 2021; Dr. Hamed K. Eldin Outstanding Early Career IE in Academia Award, 2021; Outstanding Faculty Advisor Award, IISE Western Region, 2020; SME Outstanding Young Manufacturing Engineer Award, 2020; Best Student Paper Award, IEEE Conference on Automation Science and Engineering (CASE), 2019; Faculty Residency Award, Mayo-ASU Alliance for Health Care, 2019; Runner-up Award, NIST RAMP competition, 2018; Best Student Paper Award Finalist, IEEE Conference on Automation Science and Engineering (CASE), 2017; Best Student Paper Award Finalist, IFAC Symposium on Information Control Problems in Manufacturing (INCOM), 2015; Most Popular Article, IEEE Transactions on Automation Science and Engineering (TASE), 2013; Best Paper Award, IFAC Conference on Manufacturing Modeling, Management and Control (MIM), 2013.
Research Experience
- Associate Professor and Program Chair of Industrial Engineering, School of Computing and Augmented Intelligence, Arizona State University; Senior Global Futures Scientist, Julie Ann Wrigley Global Futures Laboratory.
Education
- PhD, Industrial and Systems Engineering, University of Wisconsin Madison; MS, Electrical and Computer Engineering, University of Wisconsin Madison; Visiting Scholar, Robotics Institute, Carnegie Mellon University; BS, Electrical and Computer Engineering, Shanghai Jiaotong University.
Background
- Research Interests: Stochastic modeling and optimization of production systems, semiconductor manufacturing, and healthcare delivery systems; Real-time monitoring and control of additive manufacturing; Logistics and Supply Chain.
Miscellany
- Office: BYENG 318; Email: fengju@asu.edu
Co-authors