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Feng Ju

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Sch Compt Infor & Dec Sys Engr
Asst Professor
Faculty, TEMPE Campus, Mailcode 8809
Sustainability Scientists and Scholars
Asst Professor
Faculty, TEMPE Campus, Mailcode 8809
Biography

Assistant Professor Feng Ju joined the faculty of the School of Computing, Informatics, and Decision Systems Engineering at Arizona State University in fall 2015. Ju's research interests include stochastic modeling and control in manufacturing and healthcare systems, and battery management systems.

He is a member of the Institute for Operations Research and the Management Sciences (INFORMS), the Institute of Electrical and Electronics Engineers (IEEE), and Insitute of Industrial and Systems Engineers (IISE). 

https://fengju.engineering.asu.edu/

Education
  • Ph.D. Industrial and Systems Engineering, University of Wisconsin-Madison 2015
  • M.S. Electrical and Computer Engineering, University of Wisconsin-Madison 2011
  • B.S. Electrical and Computer Engineering, Shanghai Jiao Tong University, China 2010
Research Website
https://fengju.engineering.asu.edu/
Google Scholar
Google Scholar Profile
Research Interests
  • Stochastic modeling and control of manufacturing and healthcare delivery systems
  • Battery management systems for electric vehicles and stationary applications
Publications
  1. “Performance Evaluation of Production Systems Using Real-time Machine Degradation Signals”
    Y. Kang, H. Yan, and F. Ju, IEEE Transactions on Automation Science and Engineering, 2019.
  2. “Flexible Preventative Maintenance for Serial Production Lines with Multi-stage Degrading Machines and Finite Buffers”
    Y. Kang and F. Ju, IISE Transactions, 2018.
  3. “Transient Analysis and Real-time Control of Geometric Serial Lines with Residence Time Constraints”
    F. Wang, F. Ju, and N. Kang, IISE Transactions, 2018.
  4. “Integrated Analysis of Productivity and Machine Condition Degradation: Performance Evaluation and Bottleneck Identification”
    Y. Kang and F. Ju, IISE Transactions, 2018.
  5. “Reducing Bottlenecks to Improve the Efficiency of the Lung Cancer Care Delivery Process: A Process Engineering Modeling Approach to Patient-Centered Care”
    F. Ju, H. Lee, X. Yu, S. Jiang, N. Faris, F. Rugless, S. Jiang, J. Li, and R. U. Osarogiagbon, Journal of Medical Systems, 2018.
  6.  “Systematic Continuous Improvement Model for Variation Management of Key Characteristics Running with Low Capability”
    G. Estrada, D. Shunk, and F. Ju, International Journal of Production Research, 2017.
  7. “Power Management for Hybrid Energy Storage System of Electric Vehicles Considering Inaccurate Terrain Information”
    Q. Zhang, F. Ju, S. Zhang, W. Deng, J. Wu, and C. Gao, IEEE Transactions on Automation Science and Engineering, 2017.
  8. “A System-Theoretic Method for Modeling, Analysis and Improvement of Lung Cancer Diagnose-to-Surgery Process”
    H. Lee, F. Ju, R. Osarogiagbon, N. Faris; X. Yu, F. Rugless, S. Jiang, and J. Li, IEEE Transactions on Automation Science and Engineering, 2017.
  9. “Selective Assembly System with Unreliable Bernoulli Machines and Finite Buffers”
    F. Ju, J. Li, and W. Deng, IEEE Transactions on Automation Science and Engineering, 2017.
  10. “Transient Analysis of Geometric Serial Lines With Perishable Intermediate Products”
    N. Kang, F. Ju, and L. Zheng, IEEE Robotics and Automation Letters, 2017.
  11. “Performance Evaluation of Modularized Global Equalization System for Lithium-Ion Battery Packs”
    F. Ju, W. Deng and J. Li, IEEE Transactions on Automation Science and Engineering, 2016.
  12. “Transient Analysis of Serial Bernoulli Line with Perishable Products”
    F. Ju, J. Li and J. Horst, IEEE Transactions on Automatic Control, 2016.
  13. “Computer Modeling of Lung Cancer Diagnosis-to-treatment Process”
    F. Ju, H. Lee, R. Osarogiagbon, X. Yu, N. Faris and J. Li, Translational Lung Cancer Research, 2015.
  14. “Modeling, Analysis, and Improvement of Integrated Productivity and Quality System in Battery Manufacturing” 
    F. Ju, J. Li, G. Xiao and J. Arinez, IISE Transactions, 2015.
  15. “A Quality Flow Model in Battery Manufacturing Systems for Electric Vehicles”
    F. Ju, J. Li, G. Xiao, N. Huang and S. Biller, IEEE Transactions on Automation Science and Engineering, 2014.
  16. “Quality Flow Model in Automotive Paint Shops”
    F. Ju, J. Li, G. Xiao and J. Arinez, International Journal of Production Research, 2013.
  17. “Virtual Battery: A Battery Simulation Framework for Electric Vehicles”
    F. Ju, J. Wang, J. Li, G. Xiao and S. Biller, IEEE Transactions on Automation Science and Engineering, 2013.
Fall 2019
Course NumberCourse Title
IEE 470Stochastic Operations Research
IEE 580Practicum
IEE 584Internship
IEE 784Internship
IEE 792Research
IEE 795Continuing Registration
IEE 799Dissertation
Spring 2019
Course NumberCourse Title
IEE 470Stochastic Operations Research
IEE 580Practicum
IEE 584Internship
IEE 599Thesis
IEE 784Internship
IEE 792Research
IEE 795Continuing Registration
IEE 799Dissertation
Fall 2018
Course NumberCourse Title
IEE 470Stochastic Operations Research
IEE 580Practicum
IEE 584Internship
IEE 784Internship
IEE 792Research
IEE 799Dissertation
Summer 2018
Course NumberCourse Title
IEE 584Internship
IEE 792Research
Spring 2018
Course NumberCourse Title
IEE 580Practicum
IEE 598Special Topics
IEE 792Research
IEE 799Dissertation
Fall 2017
Course NumberCourse Title
IEE 470Stochastic Operations Research
IEE 580Practicum
IEE 584Internship
IEE 640Prob. & Stochastic Processes
IEE 784Internship
IEE 792Research
IEE 799Dissertation
Summer 2017
Course NumberCourse Title
IEE 470Stochastic Operations Research
IEE 584Internship
IEE 792Research
Spring 2017
Course NumberCourse Title
IEE 580Practicum
IEE 792Research
Fall 2016
Course NumberCourse Title
IEE 470Stochastic Operations Research
IEE 580Practicum
IEE 640Prob. & Stochastic Processes
IEE 792Research
Summer 2016
Course NumberCourse Title
IEE 584Internship
IEE 792Research
Spring 2016
Course NumberCourse Title
IEE 470Stochastic Operations Research
Fall 2015
Course NumberCourse Title
IEE 640Prob. & Stochastic Processes
Honors / Awards
  • Best Student Paper Award Finalist, IEEE Conference on Automation Science and Engineering (CASE), 2019
  • Faculty Residency Award, Mayo-ASU Alliance for Health Care, 2019
  • Featured Article in IIE Magazine, 2015, 2019
  • Runner-up, NIST RAMP competition, 2018
  • Best Student Paper Award Finalist, IEEE Conference on Automation Science and Engineering (CASE), 2017
  • Featured Article in IIE Magazine, 2015
  • Chinese Government Award for Outstanding Self-Financed Students Abroad, 2015
  • 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
  • Best Paper Honorable Mention, Industrial and Systems Engineering Research Conference (ISERC), 2012
Editorships
  • Associate Editor, IISE Transactions on Healthcare Systems Engineering
  • Associate Editor, IEEE Robotics and Automation Letter
  • Guest Editor, Special Issue in IISE Transactions–Design and Manufacturing
  • Guest Editor, Special Issue in IEEE Transactions on Automation Science and Engineering
  • Associate Editor, IEEE Conference on Automation Science and Engineering
Professional Associations
  • IEEE
  • IISE
  • INFORMS
  • SME
Service
  • Symposium Chair, ASME International Manufacturing Science & Engineering Conference 2020
  • Conference Special Session Chair, IEEE Conference on Automation Science and Engineering 2019
  • Track Chair on “Production Planning and Scheduling”, IISE Annual Conference & Expo 2019
  • Cluster Chair on “Design and Control of Manufacturing Systems”, INFORMS Annual Meeting 2018
  • Local Arrangement Chair, INFORMS Annual Meeting 2018
  • Workshop Organizer, IEEE Conference on Automation Science and Engineering 2017
Expertise Areas
Mathematical and System Dynamics Modeling
Operations Management
Computational Modeling
Healthcare Systems