Publications

Bayesian Joint Model of Multi-Sensor and Failure Event Data for Multi-Mode Failure Prediction

Sina Aghaee Dabaghan Fard (advisee), Minhee Kim, Akash Deep, and Jaesung Lee^*

Technometrics, pp. 1–15, 2026, Published online 2026-05-13, doi:10.1080/00401706.2026.2653564.

• Finalist for the QCRE Student Paper Competition at the 2025 IISE Annual Conference & Expo.
• Technometrics is a top journal in science and engineering statistics, with an acceptance rate of approximately 11%.
• Invited to present in the Technometrics Journal Session at the 2026 Quality and Productivity Research Conference.

Explainable Sequential Survival Modeling for Downtime Prognostics in Manufacturing Systems

Haopeng Tian, Abhishek Hanchate, Rajkumar Palanna, Jaesung Lee, and Satish Bukkapatnam

Manufacturing Letters, vol. 49, Supplement, pp. 1286–1297, 2026, doi:10.1016/j.mfglet.2026.08.035.

Examining and mitigating underspecification in neural network-based wafer defect pattern classification

Kani Fu, Zihan Li, Linrui Zhao, Akash Deep, Jaesung Lee, Navid Asadi, and Minhee Kim

Journal of Intelligent Manufacturing, 2026, Published online 2026-06-02, doi:10.1007/s10845-026-02890-8.

Manifold-informed Meta-Learning for Out-of-Distribution Detection and Classification in Small-Scale Industrial Datasets

Zihan Li, Akash Deep, Jaesung Lee, and Minhee Kim

Journal of Intelligent Manufacturing, 2026, Published online 2026-05-07, doi:10.1007/s10845-026-02873-9.

Knowledge-Guided Reinforcement Learning for Preventive Maintenance Planning in Economically Dependent Multi-Component Systems

Jaesung Lee^*, Tatthapong Srikitrungruang (advisee), and Salman Jahani

IISE Transactions, vol. 58, no. 11, pp. 1352–1369, 2026, Published online 2026-01-22, Assigned November 2026 issue, doi:10.1080/24725854.2025.2610967.

• Finalist for the 2025 QSR Best Refereed Paper Competition at the 2025 INFORMS Annual Conference.

Robust Physics-Informed Neural Network Approach for Estimating Heterogeneous Elastic Properties from Noisy Displacement Data

Tatthapong Srikitrungruang (advisee), Sina Aghaee Dabaghan Fard (advisee), Matthew Lemon (advisee), Jaesung Lee^*, and Yuxiao Zhou

Advanced Science, vol. 12, no. 48, article e08445, 2025, Published online 2025-11-25, doi:10.1002/advs.202508445.

• Advanced Science is a premier open access journal with high interdisciplinary impact (IF > 14).

A New View of Neural Network-Based Health Index: Connecting Prediction and Operational Decision-Making to Address Underspecification

Zihan Li, Akash Deep, Jaesung Lee, and Minhee Kim

IEEE Transactions on Automation Science and Engineering, vol. 22, pp. 23501–23512, 2025, doi:10.1109/TASE.2025.3627844.

Robust Parameter Design on Dual Stochastic Response Models With Constrained Bayesian Optimization

Jaesung Lee, Shiyu Zhou, and Junhong Chen

IEEE Transactions on Automation Science and Engineering, vol. 21, no. 2, pp. 2039–2050, 2024, doi:10.1109/TASE.2023.3251973.

Fully Inkjet-Printed, 2D Materials-Based Field-Effect Transistor for Water Sensing

Xiaoyu Sui, Sonal V. Rangnekar, Jaesung Lee, Stephanie E. Liu, Julia R. Downing, Lindsay E. Chaney, Xiaodong Yan, Hyun-June Jang, Haihui Pu, Xiaoao Shi, Shiyu Zhou, Mark C. Hersam, and Junhong Chen

Advanced Materials Technologies, vol. 8, no. 22, article 2301288, 2023, doi:10.1002/admt.202301288.

• Back Cover.
• Recognized as a top-viewed article of 2023.

Additive Manufacturing Using Agriculturally Derived Biowastes: A Systematic Literature Review

Al Mazedur Rahman, Taieba Tuba Rahman, Zhijian Pei, Chukwuzubelu Okenwa Ufodike, Jaesung Lee, and Alaa Elwany

Bioengineering, vol. 10, no. 7, article 845, 2023, doi:10.3390/bioengineering10070845.

Mixed-Input Bayesian Optimization Method for Structural Damage Diagnosis

Congfang Huang, Jaesung Lee, Yang Zhang, Shiyu Zhou, and Jiong Tang

IEEE Transactions on Reliability, vol. 72, no. 2, pp. 678–691, 2023, doi:10.1109/TR.2022.3179602.

Landmark-embedded Gaussian process with applications for functional data modeling

Jaesung Lee, Chao Wang, Xiaoyu Sui, Shiyu Zhou, and Junhong Chen

IISE Transactions, vol. 54, no. 11, pp. 1033–1046, 2022, doi:10.1080/24725854.2021.1974129.

• Featured in the ISE Magazine (October 2022 issue)
• Awarded as Best Paper in the 2023 IISE Transactions Focus Issue on Design and Manufacturing

Statistical Modeling and Analysis of k-Layer Coverage of Two-Dimensional Materials in Inkjet Printing Processes

Jaesung Lee, Shiyu Zhou, and Junhong Chen

Technometrics, vol. 63, no. 3, pp. 410–420, 2021, doi:10.1080/00401706.2020.1805020.

Variation source identification in manufacturing processes using Bayesian approach with sparse variance components prior

Jaesung Lee, Junbo Son, Shiyu Zhou, and Yong Chen

IEEE Transactions on Automation Science and Engineering, vol. 17, no. 3, pp. 1469–1485, 2020, doi:10.1109/TASE.2019.2959605.

Indexing by Latent Dirichlet Allocation and an Ensemble Model

Yanshan Wang, Jaesung Lee, and In-Chan Choi

Journal of the Association for Information Science and Technology, vol. 67, no. 7, pp. 1736–1750, 2016, doi:10.1002/asi.23444.

Probabilistic Physics-Informed Neural Networks for Estimating Heterogeneous Elastic Properties from Low-Resolution and Noisy Displacement Data

T. Srikitrungruang (advisee) and J. Lee^*

Major revision at Technometrics, arXiv preprint, doi:10.48550/arXiv.2607.14563.

• Finalist for the 2026 INFORMS QSR Best Student Paper Competition (Ph.D. advisee: Tatthapong Srikitrungruang).

Scalable Bayesian Deep Kernel Networks via Ensemble-Induced Finite Function Spaces

S. Aghaee Dabaghan Fard (advisee) and J. Lee^*

Under review.

A Scalable POMDP-based Framework for Real-Time Maintenance Planning using Multiple Sensor Signals

A. Salehiyan, J. Lee, M. Kim, and A. Deep

Under review, TechRxiv preprint, doi:10.36227/techrxiv.173337778.83986484/v1.

BEIFSurv: Bayesian Ensemble-Induced Finite Function-Space Survival Model for Multi-Sensor Data and Multi-Mode Failure Prediction

S. Aghaee Dabaghan Fard (advisee), M. Kim, A. Deep, and J. Lee^*

Under review.

Physics-Informed Heterogeneous Bayesian Last Layer Neural Network

S. Aghaee Dabaghan Fard (advisee) and J. Lee^*

Working paper.

Bayesian Physics-Informed Probabilistic Neural Network with Variance-Driven Weighting and Spline Guidance for Inverse Heterogeneous Elasticity Estimation from Low-Resolution and Noisy Data

T. Srikitrungruang (advisee) and J. Lee^*

Working paper.

Sequential Robust Parameter Design With Sample Size Selection

J. Lee, S. Zhou, and J. Chen

ASME 2022 17th International Manufacturing Science and Engineering Conference, vol. 85819, article V002T06A024, 2022, Indiana, USA, doi:10.1115/MSEC2022-85690.

Spatial distribution quantification and control of ink flakes in reduced graphene oxide FET inkjet printing

J. Lee, C. Wang, S. Zhou, and J. Chen

Procedia Manufacturing, vol. 34, pp. 19–25, 2019, 47th SME North American Manufacturing Research Conference, NAMRC 47, Pennsylvania, USA, doi:10.1016/j.promfg.2019.06.109.

Efficient compact join algorithm for acyclic conjunctive SPARQL

J. Lee, D. Kim, K. Kim, and H. Jung

ITMSOC Transactions on Information Technology Management, vol. 1, no. 1, pp. 1–8, 2016.

Document indexing by latent Dirichlet allocation

I. Choi and J. Lee

Proceedings of the 2010 International Conference on Data Mining, pp. 409–414, 2010, Las Vegas NV, USA, Jul. 12-15, 2010.