{"id":914,"date":"2015-10-29T10:48:18","date_gmt":"2015-10-29T17:48:18","guid":{"rendered":"http:\/\/faculty.engineering.asu.edu\/fengju\/?page_id=14"},"modified":"2023-12-10T16:36:01","modified_gmt":"2023-12-10T23:36:01","slug":"publication","status":"publish","type":"page","link":"https:\/\/faculty.engineering.asu.edu\/fengju\/publication\/","title":{"rendered":"Publication"},"content":{"rendered":"\n

(Bolded: my PhD students)<\/p>\n\n\n\n

Refereed Journal Articles<\/h3>\n\n\n\n
    \n
  1. \u201cDeep Spatio-temporal Anomaly Detection in Laser Powder Bed Fusion\u201d
    S. Fathizadan<\/strong>, F. Ju, Y. Lu, and Z. Yang, IEEE Transactions on Automation Science and Engineering<\/em>, 2023.<\/li>\n\n\n\n
  2. \u201cLayer Time Optimization in Large Scale Additive Manufacturing via a Reduced Physics-based Mode\u201d
    L. Liu<\/strong>, E. Jo, D. Hoskins, U. Vaidya, S. Ozcan, F. Ju, and S. Kim, Additive Manufacturing<\/em>, 2023.<\/li>\n\n\n\n
  3. \u201cSimulation Optimization Gantry Call-Back Control Method for Proton Therapy Systems\u201d
    F. Wang<\/strong>, Y. Huang, and F. Ju, IEEE Transactions on Automation Science and Engineering<\/em>, 2022.<\/li>\n\n\n\n
  4. \u201cA Dynamic Sequential Decision-Making Model on MRI Real-Time Scheduling with Simulation-Based Optimization\u201d
    B. Pang<\/strong>, X. Xie, F. Ju, and J. Pipe, Health Care Management Science<\/em>, 2022.<\/li>\n\n\n\n
  5. \u201cResident Rotation Scheduling for Categorical Internal Medicine Residency Program\u201d
    F. Wang<\/strong>, Y. Huang, F. Ju, and J. C. Greg, IEEE Robotics and Automation Letters<\/em>, 2022.<\/li>\n\n\n\n
  6. \u201cDeep Representation Learning for Process Variation Management in Laser Powder Bed Fusion\u201d
    S. Fathizadan<\/strong>, F. Ju,  and Y. Lu, Additive Manufacturing<\/em>, 2021.<\/li>\n\n\n\n
  7. \u201cDynamic Material Deposition Control for Large-Scale Additive Manufacturing\u201d
    S. Fathizadan,<\/strong> F. Ju, F. Wang<\/strong>, K. Rowe, and N. Hofmann, IISE Transactions<\/em>, 2021.<\/li>\n\n\n\n
  8. \u201cA Novel Real-time Thermal Analysis and Layer Time Control Framework for Large Scale Additive Manufacturing\u201d
    S. Fathizadan<\/strong>, F. Ju, K. Rowe, A. Fiechter, and N. Hofmann, ASME Journal of Manufacturing Science and Engineering<\/em>, 2021.<\/li>\n\n\n\n
  9. \u201cDecomposition Based Real-time Control of Multi-stage Transfer Lines with Residence Time Constraints\u201d
    F. Wang<\/strong> and F. Ju, IISE Transactions<\/em>, 2020.<\/li>\n\n\n\n
  10. \u201cMulti-Fidelity Modeling for Analysis and Optimization of Serial Production Lines\u201d
    Y. Kang<\/strong>, L. Mathesen, G. Pedrielli, F. Ju*, and L. H. Lee, IEEE Transactions on Automatic Control<\/em>, 2020.<\/li>\n\n\n\n
  11. \u201cPrint Surface Thermal Modeling and Real-Time Layer Time Control for Large Scale Additive Manufacturing\u201d
    F. Wang, S. Fathizadan<\/strong>, F. Ju, K. Rowe, and N. Hofmann, IEEE Transactions on Automation Science and Engineering<\/em>, 2020.<\/li>\n\n\n\n
  12. “Transient and Steady-state Analysis of Multi-stage Production Lines with Residence Time Limits”
    F. Wang<\/strong> and F. Ju, IEEE Transactions on Automation Science and Engineering<\/em>, 2020.<\/li>\n\n\n\n
  13. “Adaptive Minimal Confidence Region Rule for Multivariate Initialization Bias Truncation in Discrete-event Simulations”
    J. Wu, H. Xu, F. Ju, and B. Tseng, Technometrics<\/em>, 2020.<\/li>\n\n\n\n
  14. “Performance Evaluation of Production Systems Using Real-time Machine Degradation Signals”
    Y. Kang<\/strong>, H. Yan, and F. Ju, IEEE Transactions on Automation Science and Engineering<\/em>, 2020.<\/li>\n\n\n\n
  15. “Flexible Preventative Maintenance for Serial Production Lines with Multi-stage Degrading Machines and Finite Buffers”
    Y. Kang<\/strong> and F. Ju, IISE Transactions<\/em>, 2019.<\/li>\n\n\n\n
  16. \u201cTransient Analysis and Real-time Control of Geometric Serial Lines with Residence Time Constraints\u201d (Best Paper Award, <\/strong>Featured Article in IIE Magazine<\/strong>)
    F. Wang<\/strong>, F. Ju, and N. Kang, IISE Transactions<\/em>, 2019.<\/li>\n\n\n\n
  17. \u201cIntegrated Analysis of Productivity and Machine Condition Degradation: Performance Evaluation and Bottleneck Identification\u201d
    Y. Kang<\/strong> and F. Ju, IISE Transactions<\/em>, 2019.<\/li>\n\n\n\n
  18. \u201cReducing Bottlenecks to Improve the Efficiency of the Lung Cancer Care Delivery Process: A Process Engineering Modeling Approach to Patient-Centered Care\u201d
    F. Ju, H. Lee, X. Yu, S. Jiang, N. Faris, F. Rugless, S. Jiang, J. Li, and R. U. Osarogiagbon, Journal of Medical Systems<\/em>, 2018.<\/li>\n\n\n\n
  19. \u201cA System-Theoretic Method for Modeling, Analysis and Improvement of Lung Cancer Diagnose-to-Surgery Process\u201d
    H. Lee, F. Ju, R. Osarogiagbon, N. Faris; X. Yu, F. Rugless, S. Jiang, and J. Li, IEEE Transactions on Automation Science and Engineering<\/em>, 2018.<\/li>\n\n\n\n
  20.  \u201cSystematic Continuous Improvement Model for Variation Management of Key Characteristics Running with Low Capability\u201d
    G. Estrada, D. Shunk, and F. Ju, International Journal of Production Research<\/em>, 2018.<\/li>\n\n\n\n
  21. \u201cPower Management for Hybrid Energy Storage System of Electric Vehicles Considering Inaccurate Terrain Information\u201d
    Q. Zhang, F. Ju, S. Zhang, W. Deng, J. Wu, and C. Gao, IEEE Transactions on Automation Science and Engineering<\/em>, 2017.<\/li>\n\n\n\n
  22. \u201cSelective Assembly System with Unreliable Bernoulli Machines and Finite Buffers\u201d
    F. Ju, J. Li, and W. Deng, IEEE Transactions on Automation Science and Engineering<\/em>, 2017.<\/li>\n\n\n\n
  23. \u201cTransient Analysis of Geometric Serial Lines With Perishable Intermediate Products\u201d
    N. Kang, F. Ju, and L. Zheng, IEEE Robotics and Automation Letters<\/em>, 2017.<\/li>\n\n\n\n
  24. \u201cPerformance Evaluation of Modularized Global Equalization System for Lithium-Ion Battery Packs\u201d
    F. Ju, W. Deng and J. Li, IEEE Transactions on Automation Science and Engineering<\/em>, 2016.<\/li>\n\n\n\n
  25. \u201cTransient Analysis of Serial Bernoulli Line with Perishable Products\u201d
    F. Ju, J. Li and J. Horst, IEEE Transactions on Automatic Control<\/em>, 2016.<\/li>\n\n\n\n
  26. \u201cComputer Modeling of Lung Cancer Diagnosis-to-treatment Process\u201d
    F. Ju, H. Lee, R. Osarogiagbon, X. Yu, N. Faris and J. Li, Translational Lung Cancer Research<\/em>, 2015.<\/li>\n\n\n\n
  27. \u201cModeling, Analysis, and Improvement of Integrated Productivity and Quality System in Battery Manufacturing\u201d (Featured Article in IIE Magazine<\/strong>)
    F. Ju, J. Li, G. Xiao and J. Arinez,IISE Transactions<\/em>, 2015.<\/li>\n\n\n\n
  28. \u201cA Quality Flow Model in Battery Manufacturing Systems for Electric Vehicles\u201d
    F. Ju, J. Li, G. Xiao, N. Huang and S. Biller, IEEE Transactions on Automation Science and Engineering<\/em>, 2014.<\/li>\n\n\n\n
  29. \u201cQuality Flow Model in Automotive Paint Shops\u201d
    F. Ju, J. Li, G. Xiao and J. Arinez, International Journal of Production Research<\/em>,<\/strong> 2013.<\/li>\n\n\n\n
  30. \u201cVirtual Battery: A Battery Simulation Framework for Electric Vehicles\u201d(Most Popular Article, 2013<\/strong>)
    F. Ju, J. Wang, J. Li, G. Xiao and S. Biller, IEEE Transactions on Automation Science and Engineering<\/em>, 2013.<\/li>\n<\/ol>\n\n\n\n

    Selected Conference Papers (peer-reviewed)<\/h3>\n\n\n\n
      \n
    1. Y. Su<\/strong>, F. Ju, B. Ananthanarayanan, H. Dauod, and N. Patel, \u201cA Decentralized MILP Method for Rescheduling Semiconductor Assembly Systems with Re-Entrance and Time Window Constraints\u201d, IEEE Conference on Automation Science and Engineering (CASE)<\/em>, Auckland, New Zealand, 2023. (Best Student Paper Finalist)<\/strong><\/li>\n\n\n\n
    2. L. Liu<\/strong>, E. Jo, U. Vaidya, S. Kim, and F. Ju, \u201c An Integrated Offline and Online Optimization Framework for Large Scale Additive Manufacturing\u201d, IEEE Conference on Automation Science and Engineering (CASE)<\/em>, Auckland, New Zealand, 2023.<\/li>\n\n\n\n
    3. F. Wang<\/strong>, and F. Ju, \u201cSimulation-based Real-time Production Control of Serial Lines with Different Classes of Residence Time Constraints\u201d, IEEE Conference on Automation Science and Engineering (CASE)<\/em>, Mexico City, Mexico, 2022.<\/li>\n\n\n\n
    4. E. Jo, L. Liu<\/strong>, F. Ju, D. Hoskins, D. Pokkalla, V. Kunc, U. Vaidya, and S. Kim, \u201cThe Design of Layer Time Optimization in Large-Scale Additive Manufacturing with Fiber Reinforced Polymer Composites\u201d, SAMPE Conference & Exhibition<\/em>, Charlotte, NC, 2022.<\/li>\n\n\n\n
    5. F. Wang,<\/strong> Y. Huang and F. Ju, \u201cRollout-based Gantry Call-back Control for Proton Therapy Systems\u201d, IEEE Conference on Automation Science and Engineering (CASE)<\/em>, Lyon, France, 2021. (Best Healthcare Paper Finalist Award)<\/strong><\/li>\n\n\n\n
    6. J. Huang, N. Sergin, A. Dua, E. Tavakoli, H. Yan, F. Ren, and F. Ju, “Edge Computing Accelerated Defect Classification based on Deep Convolutional Neural Network with Application in Rolling Image Inspection,” ASME International Manufacturing Science and Engineering Conference (MSEC)<\/em>, Cincinnati, OH, 2020.<\/li>\n\n\n\n
    7. X. Zhao, Y. Kang<\/strong>, H. Yan, F. Ju, “Semi-supervised Constrained Hidden Markov Model Using Multiple Sensors for Remaining Useful Life Prediction and Optimal Predictive Maintenance,” 11th PHM Conference<\/em>, Scottsdale, AZ, 2019.<\/li>\n\n\n\n
    8. F. Wang<\/strong>, F. Ju, K. Rowe, and N. Hofmann, “Real-time control for large scale additive manufacturing using thermal images,” IEEE Conference on Automation Science and Engineering (CASE)<\/em>, Vancouver, Canada, 2019. (Best Student Paper Award)<\/strong><\/li>\n\n\n\n
    9. Y. Kang <\/strong>and F. Ju, “Joint Optimization of Operating Mode and Part Sequence for Robot Loading Process Considering Real-time Health Condition”,  IEEE Conference on Automation Science and Engineering (CASE)<\/em>, Vancouver, Canada, 2019.<\/li>\n\n\n\n
    10. Y. Kang<\/strong>, H. Yan, and F. Ju, “Real-time Production Performance Analysis Using Machine Degradation Signal: a Two-Machine Case,” IEEE Conference on Automation Science and Engineering (CASE)<\/em>, Munich, Germany, 2018.<\/li>\n\n\n\n
    11. F. Wang<\/strong>, Y. Lu, and F. Ju, “Condition-based Real-time Production Control for Smart Manufacturing Systems,” IEEE Conference on Automation Science and Engineering (CASE)<\/em>, Munich, Germany, 2018.<\/li>\n\n\n\n
    12. G. Pedrielli and F. Ju, “Simulation-Predictive Control for Manufacturing Systems,” IEEE Conference on Automation Science and Engineering (CASE)<\/em>, Munich, Germany, 2018.<\/li>\n\n\n\n
    13. Y. Kang<\/strong> and F. Ju, “Maintenance Decision Model for a Two-Machine Production Line with Multistage Degradation Machines,” ASME International Manufacturing Science and Engineering Conference (MSEC)<\/em>, College Station, TX, 2018.<\/li>\n\n\n\n
    14. Y. Kang<\/strong>, L. Mathesen, G. Pedrielli, and F. Ju, “Multi-Fidelity Modeling for Analysis of Serial Production Lines,” IEEE Conference on Automation Science and Engineering (CASE)<\/em>, Xi\u2019an, China, 2017. (Best Student Paper Finalist)<\/strong><\/li>\n\n\n\n
    15. F. Wang<\/strong>, F. Ju, and Y. Lu, “A Study on Performance Evaluation and Status-based Decision for Cyber- Physical Production Systems,” IEEE Conference on Automation Science and Engineering (CASE)<\/em>, Xi\u2019an, China, 2017.<\/li>\n\n\n\n
    16. Y. Lu and F. Ju, “Smart Manufacturing Systems based on Cyber-physical Manufacturing Services (CPMS),” IFAC World Congress<\/em>, Toulouse, FR, 2017.<\/li>\n\n\n\n
    17. Y. Kang<\/strong> and F. Ju, “Identifying Bottlenecks in Serial Production Lines with Geometric Machines: Indicators and Rules,” IFAC World Congress<\/em>, Toulouse, FR, 2017.<\/li>\n\n\n\n
    18. G. Pedrielli and F. Ju, “Multi-Level Monte Carlo Analysis of Manufacturing Systems,” 11th Conference on Stochastic Models of Manufacturing and Service Operations (SMMSO)<\/em>, Acaya, Italy, 2017.<\/li>\n\n\n\n
    19. Y. Kang<\/strong>, and F. Ju, “Integrated Analysis of Productivity and Machine Condition Degradation: a Geometric-Machine Case,” IEEE Conference on Automation Science and Engineering (CASE)<\/em>, Fort Worth, US, 2016.<\/li>\n\n\n\n
    20. Q. Zhang, W. Deng, J. Wu, F. Ju, and J. Li, “Fuzzy Supervisory Based Variable Frequency Control Strategy for Active Battery\/Supercapacitor Combination in Electric Vehicles,” SAE 2016 World Congress and Exhibition<\/em>, Detroit, MI, 2016.<\/li>\n\n\n\n
    21. P. Carayon, F. Ju, R. Cartmill, P. Hoonakker, T. Wetterneck, and J. Li, “Medication Error Propagation In Intensive Care Units,” HFES Annual Meeting<\/em>, Los Angeles, US, 2015.<\/li>\n\n\n\n
    22. F. Ju, J. Li, and J. Horst, “Transient Analysis of Bernoulli Serial Line with Perishable Products,” IFAC Symposium on Information Control Problems in Manufacturing (INCOM)<\/em>, Ottawa, Canada, 2015. (Best Student Paper Award Finalist<\/strong>)<\/li>\n\n\n\n
    23. F. Ju, J. Li, G. Xiao and J. Arinez, “Selective Assembly for Quality Mating with Finite Bu\ufb00ers,” IFAC World Congress<\/em>, Cape Town, South Africa, 2014.<\/li>\n\n\n\n
    24. Q. Zhang, W. Deng, J. Wu, F. Ju, and J. Li, “Dynamic Power Demand Prediction for Battery-supercapacitor Hybrid Energy Storage System of Electric Vehicle with Terrain Information,” IEEE International Workshop on Intelligent Energy Systems (IWIES)<\/em>, San Diego, US, 2014.<\/li>\n\n\n\n
    25. F. Ju, Q. Zhang, W. Deng and J. Li “Review of Structures and Control of Battery-Supercapacitor Hybrid Energy Storage System for Electric Vehicles,”  IEEE Conference on Automation Science and Engineering (CASE)<\/em>, New Taipei, Taiwan, 2014.<\/li>\n\n\n\n
    26. F. Ju, W. Deng and J. Li, “Modularized Global Equalization of Battery Cells for Electric Vehicles,”  IEEE Conference on Robotics and Automation (ICRA)<\/em>, Hongkong, China, 2014.<\/li>\n\n\n\n
    27. F. Ju, J. Li, G. Xiao and J. Arinez, “Modeling Quality Propagation in Automotive Paint Shops: An Application Study,”  IFAC Conference on Manufacturing Modeling, Management and Control (MIM)<\/em>, Saint Petersburg, Russia, 2013. (Best Paper Award<\/strong>)<\/li>\n\n\n\n
    28. F. Ju, J. Li, N. Huang, G. Xiao and S. Biller, “Quality Analysis in Serial Production Line with Repairs: A Markov Chain Approach,” Industrial and Systems Engineering Research Conference (ISERC)<\/em>, Orlando, US, 2012. (Best Paper Honorable Mention<\/strong>)<\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"

      (Bolded: my PhD students) Refereed Journal Articles Selected Conference Papers (peer-reviewed)<\/p>\n","protected":false},"author":3,"featured_media":0,"parent":0,"menu_order":10,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-914","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/faculty.engineering.asu.edu\/fengju\/wp-json\/wp\/v2\/pages\/914","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/faculty.engineering.asu.edu\/fengju\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/faculty.engineering.asu.edu\/fengju\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/faculty.engineering.asu.edu\/fengju\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/faculty.engineering.asu.edu\/fengju\/wp-json\/wp\/v2\/comments?post=914"}],"version-history":[{"count":0,"href":"https:\/\/faculty.engineering.asu.edu\/fengju\/wp-json\/wp\/v2\/pages\/914\/revisions"}],"wp:attachment":[{"href":"https:\/\/faculty.engineering.asu.edu\/fengju\/wp-json\/wp\/v2\/media?parent=914"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}