Grants per year
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Dive into the research topics where Feng Ju is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Deep Learning Based Data Registration and Part Characterization of Laser Powder Bed Fusion
DOC: National Institute of Standards and Technology (NIST)
12/1/22 → 11/30/24
Project: Research project
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Revisiting and Streamlining Project Controls Methods and KPIs
University of Texas: Construction Industry Institute
7/1/22 → 9/15/24
Project: Research project
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Data Fusion toward Process Variation Management and Control of Laser Powder Bed Fusion
DOC: National Institute of Standards and Technology (NIST)
10/1/20 → 3/31/22
Project: Research project
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Model Based Industrial Engineering Process Improvements for the Factory
7/14/20 → 12/31/21
Project: Research project
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Real-time control for backend semiconductor manufacturing systems with constrained time window
5/1/20 → 4/30/23
Project: Research project
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A Decentralized MILP Method for Rescheduling Semiconductor Assembly Systems with Re-Entrance and Time Window Constraints
Su, Y., Ju, F., Ananthanarayanan, B., Dauod, H. & Patel, N. S., 2023, 2023 IEEE 19th International Conference on Automation Science and Engineering, CASE 2023. IEEE Computer Society, (IEEE International Conference on Automation Science and Engineering; vol. 2023-August).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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An Integrated Offline and Online Optimization Framework for Large Scale Additive Manufacturing
Liu, L., Jo, E., Vaidya, U., Kim, S. & Ju, F., 2023, 2023 IEEE 19th International Conference on Automation Science and Engineering, CASE 2023. IEEE Computer Society, (IEEE International Conference on Automation Science and Engineering; vol. 2023-August).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Deep Spatio-Temporal Anomaly Detection in Laser Powder Bed Fusion
Fathizadan, S., Ju, F., Lu, Y. & Yang, Z., 2023, (Accepted/In press) In: IEEE Transactions on Automation Science and Engineering. p. 1-13 13 p.Research output: Contribution to journal › Article › peer-review
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A dynamic sequential decision-making model on MRI real-time scheduling with simulation-based optimization
Pang, B., Xie, X., Ju, F. & Pipe, J., Sep 2022, In: Health Care Management Science. 25, 3, p. 426-440 15 p.Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
Dynamic material deposition control for large-scale additive manufacturing
Fathizadan, S., Ju, F., Wang, F., Rowe, K. & Hofmann, N., 2022, In: IISE Transactions. 54, 9, p. 817-831 15 p.Research output: Contribution to journal › Article › peer-review
2 Scopus citations
Press/Media
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Study Results from Arizona State University Broaden Understanding of Additive Manufacturing (Layer Time Optimization In Large Scale Additive Manufacturing Via a Reduced Physics-based Model)
7/21/23
1 item of Media coverage
Press/Media: Press / Media
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Most university conferences go virtual in 2021
2/1/21
1 item of Media coverage
Press/Media: Press / Media
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SME Selects 2020 Outstanding Young Manufacturing Engineers
7/10/20
1 item of Media coverage
Press/Media: Press / Media
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SME Selects 2020 Outstanding Young Manufacturing Engineers
7/7/20
1 item of Media coverage
Press/Media: Press / Media
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AM researcher Mihaela Vlasea receives SME engineering award
6/25/20
1 item of Media coverage
Press/Media: Press / Media