Publications

Recent Publications

Refereed Journal Papers

Han S., Jin, J. Ni, J. Li, “An Enhanced Rough Set-Based Method for Decision Fusion of ICU Medical Data”, Intelligent Data Analysis, 20(6), pp. 1267-1284.

Wang, G. Li,^*/** A. Natarajan, S. Mukerjee, X. Jin, S. Kar*, (2024) “Accelerating optimal synthesis of atomically thin MoS₂: a constrained Bayesian optimization guided brachistochrone approach,” Advanced Materials Technologies, (forthcoming)

X. Peng^**, S. Duan, C. Sankvaram, and X. Jin^*, (2024) Unsupervised adaptive fleet battery pack fault detection with concept drift under evolving environment, IEEE Transactions on Automation Science and Engineering, DOI: 10.1109/TASE.2024.3363002

R. Bokade^**, X. Jin^*. and C. Amato., (2023) “Multi-Agent Reinforcement Learning Based on Representational Communication for Large-Scale Traffic Signal Control,” IEEE Access, vol. 11, pp. 47646-47658, 2023, DOI: 10.1109/ACCESS.2023.3275883

X. Peng^**, X. Jin^*, S. Duan and C. Sankavaram, (2022) “Active learning-assisted semi-supervised learning for fault detection and diagnostics with imbalanced dataset,” IISE Transactions, DOI: 10.1080/24725854.2022.2074579

Yuan, G Li^**, S Kamarthi, X Jin, M Moghaddam*, (2022) “Trends in intelligent manufacturing research: a keyword co-occurrence network based review,” Journal of Intelligent Manufacturing, 33, pp. 425–439.

G. Li^**, Y. Chen, M. Moghadam, S. Kamarthi, X. Jin^*, (2021) “Exploring the skills and domain knowledge for data science in manufacturing and production industry: a gap analysis,” Journal of Manufacturing Systems, Vol. 60, pp. 692-706.

A. He^**, X. Jin^*, (2021) “Deep variational autoencoder classifier for intelligent fault diagnosis adaptive to unseen fault categories,” IEEE Transactions on Reliability (early access 10.1109/TR.2021.3090310)

R. Bokade^**, A. Navato, R. Ouyang, X. Jin, C. Chou, S. Ostadabbas, A. V. Mueller^*, (2021) “A cross-disciplinary comparison of multimodal data fusion approaches and applications: Accelerating learning through trans-disciplinary information sharing,” Expert Systems with Application, 165, 113885.

X. Gu, W. Guo^*,  X. Jin, (2020)  “Performance evaluation for manufacturing systems under control-limit maintenance policy,” Journal of Manufacturing Systems, 55,  221–232.

He, X. Jin*,(2019) “Failure Detection and Remaining Life Estimation for Ion Mill Etching Process Through Deep-Learning Based Multimodal Data Fusion”, Journal of Manufacturing Science and Engineering 141 (10).

M. Xu, S.Radhakrishnan, S. Kamarthi and X. Jin*, (2019) “Resiliency of Mutualistic Supplier-Manufacturer Networks“, Scientific Reports 9, Article number: 13559.

X. Jin*, H. Shui, M. Shpitalni, “Virtual sensing and virtual metrology for spatial error monitoring of roll-to-roll manufacturing systems”, CIRP Annals-Manufacturing Technology 68 (1) pp. 491-494.

Chou, C., X. Jin, A. Mueller and S. Ostadabbas, (2019) “Multimodal Data Fusion-Moving from Domain-specific Algorithms to Transdomain Understanding for Accelerated Solution Development,” IEEE Sensors Letters, 3(1), 1-4.

Hassani.S. M., X. Jin, J. Ni (2019), “Physics-based Gaussian Process for The Health Monitoring for a Rolling Bearing”, Acta Astronautica, 154, 133-139.

Shui, H. X. Jin, J. Ni (2018) “Twofold Variation Propagation Modeling and Analysis for Roll-to-Roll Manufacturing Systems“, IEEE Transactions on Automation Science and Engineering, 99.

Xu, M. X. Jin, S. Kamarthi, Md. Noor-E-Alam (2018) “A Failure-Dependency Modeling and State Discretization Approach for Condition-Based Maintenance Optimization of Multi-Component Systems”,  Journal of Manufacturing Systems 47, pp. 141-152.

Gu, X. Jin, J. Ni, (2017) “Estimation of Active Maintenance Opportunity Windows in Production Lines, 2018 Journal of Manufacturing Systems. 45, 109-120.

Momeni, X. Jin, J. Ni (2016) “A Microscopic Approach for Genetic Degradation Modeling”, International Journal of Prognostics and Health Management (ISSN 2153-2648, 2016 027) [pdf]

Jin, X. D. Siegel, B. Weiss, E. Gamel, W. Wang, J. Lee, J. Ni (2016) “The Present Status and Future Growth of Maintenance in US Manufacturing: Results from a Pilot Survey”, Manufacturing Review, DOI: 10.1051/mfreview/2016005

Ni, J., X. Gu, and X. Jin (2015) “Preventive Maintenance Opportunities For Large Production Systems”, CIRP Annals Manufacturing Technology, 64(1), pp. 447-450 [pdf]

X., X. Jin, and J. Ni, “Prediction of Passive Maintenance Opportunity Windows on Bottleneck Machines in Complex Manufacturing Systems”, ASME Transactions on Journal of Manufacturing Science and Engineering 137(3), 031017.

Liang, X., Jin*, J. Ni, “Forecasting Product Returns for Remanufacturing Systems”, Journal of Remanufacturing 4(1), pp. 1-18.

Dong, H., Jin, C. Wang, (2014) “Lithium-ion Battery State of Health Monitoring and Remaining Useful Life Prediction based on Support Vector Regression-Particle Filter”, Journal of Power Sources.

Peters, S. G. Lanza, J. Ni, Jin, P. Yi and M. Colledani, (2014) “Automotive Manufacturing Technologies – an International Viewpoint”, Manufacturing Review, 1:10.

Xia, T., Jin, L. Xi, (2013) “Operating Load Based Real-time Rolling Grey Forecasting for Machine Health Prognostics in Dynamic Maintenance Schedule”, Journal of Intelligent Manufacturing, DOI:10.1007/s10845-013-0780-8.

Jin, X, S. J. Hu, J. Ni, G. Xiao (2013) “Assembly Strategies for Product Remanufacturing with Variable Quality Returns”, IEEE Transactions on Automation Science and Engineering, 10(1), pp. 76-85.

Jin, X., J. Ni, (2013) “Joint Production and Preventive Maintenance Strategy for Manufacturing Systems with Stochastic Demand”, ASME Transactions on Manufacturing Science and Engineering, 135, 03101-1:9.

Ni*, and X. Jin, (2012) “Decision Support Systems for Effective Maintenance Operations”, CIRP Annals-Manufacturing Technology,61(1), pp. 411–414.

Jin, X., J. Ni, and Y. Koren, (2011), “Optimal Control of Reassembly with Variable Quality Returns in a Product Remanufacturing System”, CIRP Annals-Manufacturing Technology. 60(1) pp. 25-28.

Jin, X., L. Li*, and J. Ni, (2009) “Option Model for Joint Production and Preventive Maintenance System”, International Journal of Production Economics. 119(2), pp. 347-353.

Dong, M., S. Sun and Jin, (2009), “Modelling and Analysis of Newsvendor-Based Trading Options in Supply Chains”, International Journal of Services Operations and Informatics, 4(3), pp. 258-271.

Jin, and C. Ma, (2007) “Evaluation in Intensity of Labor Based on Comprehensive Fuzzy Evaluation Method”, Journal of Industrial Engineering and Management (12).

Shui, H., Jin*, J. Ni (2015) “Manufacturing productivity and energy efficiency: a stochastic efficiency frontier analysis”, Int. J. Energy Res. DOI: 10.1002/er.3368.

Jin, X. (2012) “Modeling and Analysis of Remanufacturing Systems with Stochastic Return and Quality Variation”, Ph.D. Dissertation, University of Michigan. (Publication No. 3530933.)

Conference Papers and proceedings

Zeng, X. Jin and Q. Wang, (2007) “Trading Options in Supply Chain”, Proceedings of the IEEE International Conference on Industrial Engineering and Engineering Management.

He, A., X. Jin*, (2018) “NARNET-based Prognostics Modeling for Deteriorating Systems under Dynamic Operating Conditions”, Proceeding of IEEE Conference on Automation Science and Engineering, August, 2018, Munich, Germany.

Lai, X., X. Jin*, X. Gu, (2017) “An Integrated Physical-based and Parameter Learning Method for Ship Energy Consumption Prediction”, Proceeding of IEEE Conference on Automation Science and Engineering, August 2017, Xi’an, China.

Ren, W. Hui, X. Jin, (2017) “Engineering Effect Equivalence Enabled Transfer Learning”, IEEE Conference on Automation Science and Engineering, August 2017, Xi’an, China.

Jin, X. Gu, (2016) “Option-Based Design for Resilient Manufacturing Systems”, IFAC, 8th IFAC Conference on Manufacturing Modelling, Management and Control MIM, Vol. 49 (12), pp.1-1962.

Riggs, R.J., Jin, S.J. Hu, (2015) “Two Stage Sequence Generation for Partial Disassembly of Products with Sequence Dependent Task Times”, The 22^nd CIRP Conference on Life Cycle Engineering, April 2015, Sydney, Australia. 

Shui, H., Jin, J. Ni (2015) “An Anomaly Detection and Diagnosis Method Based on Real-Time Health Monitoring for Progressive Stamping Processes”, Proceedings of The ASME International Manufacturing Science and Engineering Conference, 2015, Charlotte, North Carolina, USA.

Gu, X., Jin, J. Ni (2015) “Real-Time Maintenance Policy in Manufacturing Systems with Intermediate Buffers“, Proceedings of The ASME International Manufacturing Science and Engineering Conference, 2015, Charlotte, North Carolina, USA.

Li, Y. Jin, C. Qing (2015) “Markov Decision Models for Optimal Decision Making In Bottlenecks Identification and Mitigation in Advanced Manufacturing Systems”, Proceedings of The ASME International Manufacturing Science and Engineering Conference, 2015, Charlotte, North Carolina, USA.

X., X. Jin, J. Ni, Y. Koren (2015) “Manufacturing System Design for Resilience”, CIRP 25^th Design Conference, March 2015, Haifa, Israel.

Weng, X, Jin, J. Ni, (2014) “Multi-Scale Surface Characterization and Control Based High Density Measurements”, Proceedings of The ASME International Manufacturing Science and Engineering Conference, 2014, Detroit, Michigan. (Best Paper Award, 1^stPlace)

X, X. Jin*, J. Ni, (2014) “Estimation of active maintenance opportunity windows in manufacturing systems”, 11th International Conference on Frontiers of Design and Manufacturing, Nanjing, Jiangsu, China. (Best paper award)

Jin, J. Ni, S.J. Hu, G. Xiao, Q. Chang, “Threshold-Type Admission Policy for Remanufacturing Systems”, 2014 IEEE International Conference on Automation Science and Engineering (CASE), 467-473, Taiwan.

X., X. Jin*, J. Ni, (2014) “Resilience Measures of Manufacturing Systems under Disruptions”, Proceedings of The ASME International Manufacturing Science and Engineering Conference, 2014, Detroit, Michigan.

Lou, Y., Dong, H., Jin*, J. Ni, S. Cheng, H. Zhu, (2014) “Data-Driven Predictive Nickel-Hydrogen Battery Health Monitoring and Prognostics”, Proceedings of 42th North America Manufacturing Research Conference, 2014, Detroit, Michigan.

Gusikhin, Jin, E. Klampfl, D. Reich, R. Visintainer (2013) “Dynamic Modeling of Operator Overload Conditions in Mixed Model Automotive Assembly”, Proceedings of IFAC Conference on Manufacturing Modelling, Management, and Control (MIM), Russia.

Lou, X. Jin* and J. Ni, (2013). “Lithium-ion Battery Degradation Related Parameter Estimation Using Electrochemistry-Based Dual Models”, 8th Word Congress on Engineering Asset Management, October, Hongkong, China

Jin* and J. Ni (2012) “Dynamic Strategies for Preventive Maintenance Scheduling with throughput target variation”, Proceedings of The ASME International Manufacturing Science and Engineering Conference, 2012.

Jin*, G. Xiao, Q. Chang, S. Biller, J. Ni, S. Jack Hu (2012) “Performance Analysis and Optimization of Remanufacturing Systems with Stochastic Returns”, Proceedings of the ASME International Manufacturing Science and Engineering.

Jin, L. Li* and J. Ni, (2009) “Integrated Production and Preventive Maintenance Decision Making Using Option-Based Cost Model”, Proceedings of the ASME International Manufacturing Science and Engineering Conference, 2009.

Dong, D. Yang, X. Jin, (2008) Strategy analysis of newsvendor based trading options in supply chains, IEEE International Conference on Service Operations and Logistics, and Informatics.

News Articles

Year 2024

• Congrats to Guoyan Li on his publication on Advanced Materials Technologies in collaboration with researchers in Physics and Chemistry departments: Accelerating Optimal Synthesis of Atomically Thin MoS2: A Constrained Bayesian Optimization Guided Brachistochrone Approach
• Check out Rohit Bokade’ recent work:  [2410.18202] PyTSC: A Unified Platform for Multi-Agent Reinforcement Learning in Traffic Signal Control
• Welcome Ruize Hou, new Ph.D. student joining our research group!
• Prof. Jin receives the 2024 COE Faculty Research Team Award for the NSF IMPEL project.
• Congratulations to Guoyan Li receiving the 2024 COE PhD Research Award!
• Prof. Jin was invited to attend NSF/NIST Semiconductor Industry Roundtable on Open and Scaled Data Sharing for Smart Manufacturing.
• Xiaomeng’s study in collaboration with General Motors R&D on Large Fleet Vehicle Health Management has published on IEEE Transactions on Automation Science and Engineering, see our paper: “Unsupervised Adaptive Fleet Battery Pack Fault Detection With Concept Drift Under Evolving Environment | IEEE Journals & Magazine | IEEE Xplore“.

Year 2023

• Prof. Jin is awarded as the COE Faculty Fellow.
• Prof. Jin is working with a group of faculty members to improve cybersecurity and robustness of additive manufacturing, with a particular focus on fusing passive and active ways of parts authentication, and NDT methods for verification (see $1.5M ARL Grant To Improve Cybersecurity and Robustness in Additive Manufacturing – Northeastern University College of Engineering).
• Zifeng Wang presented his paper in 2023 ASME MSEC Spatial-Terminal Iterative Learning Control for Registration Error Elimination in High-Precision Roll-to-Roll Printing Systems
• Prof. Jin attended the Faculty Leadership Program – ReDI at Northeastern University.
• Our new paper in collaboration with GM has published in IISE Transactions, Active learning-assisted semi-supervised learning for fault detection and diagnostics with imbalanced dataset
• Congratulations on Xiaomeng’s defense of her Ph.D. thesis and joining the MathWorks!

Year 2020

• Prof. Jin is awarded the 2020 Constantinos Mavroidis Translational Research Award by the College of Engineering.
• Prof. Jin received a $500k NSF Faculty Early Career Development (CAREER) Award for developing a Unified Sensing, Machine Perception and Control Framework for High-precision Micromanufacturing. (March, 2020)  COE news
• Congratulations to Mengkai Xu on successfully defending his dissertation!
• Prof. Jin is awarded FY21 TIER 1 mentored project on Industrial AI-Assisted Synthesis of 2D Quantum Materials, with Prof. Swastik Kar.
• A new paper published:  “A cross-disciplinary comparison of multimodal data fusion approaches and applications: Accelerating learning through trans-disciplinary information sharing”,  in Expert Systems with Application, 2021, 113885.

Year 2019

• Prof. Jin is awarded a $2M NSF grant to develop Integrative Manufacturing and Production Engineering Curricula That Leverage Data Science in collaboration with colleagues Professors Kamarthi (PI), Issacs, Moghaddam and Jona.
• Congratulations!  Ph.D student Anqi He received the 2019 John and Katharine Cipolla MS/PhD Award.
• Congratulations to Ph.D student Mengkai Xu’s paper on “Resiliency of Mutualistic Supplier-Manufacturer Networks” published in Scientific Reports [link]
• Dr. Jin was invited to present her roll-to-roll manufacturing research at the MIE department seminar in UMasss Amherest. [link]
• Dr. Xiaoning Jin (PI) is leading a $550K NSF grant on Precision Alignment of Roll-to-Roll Printing of Flexible Paper Electronics, in collaboration with Hongli Zhu (Co-PI) and UMass Amherst.
• Congratulations to PhD student Anqi He  for winning the ASME Manufacturing Science and Engineering Conference Best Paper Award (1st Place), Erie, PA 2019. “Failure Detection and Remaining Life Estimation for Ion Mill Etching Process Through Deep-Learning Based Multimodal Data Fusion”
• Dr. Jin’s paper on “Virtual sensing and virtual metrology for spatial error monitoring of roll-to-roll manufacturing systems” is published in CIRP Annals [link]

Year 2018

• Dr. Jin is awarded a $750k project from Digital Manufacturing Design Innovation Institute (DMDII) on Predictive Factory research.
• Congratulations to PhD student Xiaomeng Peng for receiving the 2018 John and Katharine Cipolla PhD Award!
• Dr. Jin is co-organizing a technical symposium on Advances in Data Analytics and Engineering Modeling for Intelligent & Resilient Manufacturing Systems at 2019 ASME International Manufacturing Science and Engineering Conference (MSEC), June 10-14, 2019, Pennsylvania State University. Papers are welcome to submit at https://www.asmeconferences.org/MSEC2019/login.cfm
• The Multimodal Data Fusion Workshop (MMDF 2018) Report is available now! [See the news][Archives]
• Xiaoning “Sarah” Jin is the guest editor of the Special Issue of IEEE Sensors Letters. [See details]
• Anqi He received CASE2018 Student Travel Grant to present his paper in Munich, Germany 2018
• Mengkai Xu’s new article on “A failure-dependency modeling and state discretization approach for
  condition-based maintenance optimization of multi-component systems” has been published in Journal of Manufacturing Systems. [pdf]
• Anqi He’s first paper on “NARNET-based Prognostics Modeling for Deteriorating Systems under Dynamic Operating Conditions”  has been accepted by IEEE Conference on Automation Science and Engineering. Congrats!
• Dr. Jin is awarded a $750k project from Digital Manufacturing Design Innovation Institute (DMDII) on Predictive Factory research.