Combined effects of load dynamics and dependence clusters on cascading failures in network systems. - Jian Zhou 010; Ning Huang; David W. Coit; Frank A. Felder (Reliab. Eng. Syst. Saf., 2018)

A sequential resource investment planning framework using reinforcement learning and simulation-based optimization: A case study on microgrid storage expansion. - Stamatis Tsianikas; Nooshin Yousefi; Jian Zhou 010; Mark D. Rodgers; David W. Coit (CoRR, 2020)

The impact of analytical outage modeling on expansion planning problems in the area of power systems. - Stamatis Tsianikas; Nooshin Yousefi; Jian Zhou 010; David W. Coit (CoRR, 2020)

Inspection plan prediction for multi-repairable component systems using neural network. - Nooshin Yousefi; Stamatis Tsianikas; Jian Zhou 010; David W. Coit (CoRR, 2020)

Autonomous nondestructive evaluation of resistance spot welded joints. - Jian Zhou 010; Dali Wang; Jian Chen 033; Zhili Feng; Blair Clarson; Amberlee Baselhuhn (Robotics Comput. Integr. Manuf., 2021)

Resiliency-based restoration optimization for dependent network systems against cascading failures. - Jian Zhou 010; David W. Coit; Frank A. Felder; Dali Wang (Reliab. Eng. Syst. Saf., 2021)

Reliability evaluations for a multi-state k-out-of-n: F system with m subsystems supported by multiple protective devices. - Xiaoyue Wang 001; Ru Ning; Xian Zhao; Jian Zhou 010 (Comput. Ind. Eng., 2022)

Reliability analyses of k-out-of-n: F capability-balanced systems in a multi-source shock environment. - Xiaoyue Wang 001; Ru Ning; Xian Zhao; Jian Zhou 010 (Reliab. Eng. Syst. Saf., 2022)

Fusing physics-inferred information from stochastic model with machine learning approaches for degradation prediction. - Zhanhang Li; Jian Zhou 010; Hani Nassif; David W. Coit; Jinwoo Bae (Reliab. Eng. Syst. Saf., 2023)

Adaptive deep learning-based remaining useful life prediction framework for systems with multiple failure patterns. - Jiawei Xiong; Jian Zhou 010; Yizhong Ma; Fengxia Zhang; Chenglong Lin (Reliab. Eng. Syst. Saf., 2023)

Combined optimization of system reliability improvement and resilience with mixed cascading failures in dependent network systems. - Jian Zhou 010; David W. Coit; Frank A. Felder; Stamatis Tsianikas (Reliab. Eng. Syst. Saf., 2023)

Resilience improvement of cyber-physical supply chain networks considering cascading failures with mixed failure modes. - Lei Zhang; Jian Zhou 010; Yizhong Ma; Xiaoyue Wang 001; Fengxia Zhang (Comput. Ind. Eng., 2024)

Deep reinforcement learning for resilient microgrid expansion planning with multiple energy resource. - Kexin Pang; Jian Zhou 010; Stamatis Tsianikas; Yizhong Ma (Qual. Reliab. Eng. Int., 2024)

Multi-energy microgrid expansion planning with reliability consideration based on deep reinforcement learning. - Stamatis Tsianikas; Jian Zhou 010; Nooshin Yousefi; Mark D. Rodgers; David W. Coit (Comput. Ind. Eng., 2025)

Enhanced Corrosion Testing and Analysis for Steel Rebars in Reinforced Concrete Bridge Decks Based on Effective Pre-Cracking. - Zhanhang Li; Jian Zhou 010; Hasan Al-nawadi; Hani Nassif; David W. Coit (Qual. Reliab. Eng. Int., 2025)

Condition-based maintenance for redundant systems considering spare inventory with stochastic lead time. - Jun Wang 066; Yuqiang Fu; Jian Zhou 010; Lechang Yang; Yating Yang (Reliab. Eng. Syst. Saf., 2025)

A two-stage Weibull-gamma degradation model with distinct failure mechanism initiation and propagation stages. - Jian Zhou 010; Zhanhang Li; Hani Nassif; David W. Coit (Reliab. Eng. Syst. Saf., 2025)

Enhancing Resilience of Interdependent Supply Chain Networks Against Delay-Time Cascading Failures With Recovery Resource Allocation. - Lei Zhang; Jian Zhou 010; Fengxia Zhang; Peirui Qiao; Yizhong Ma (IEEE Trans. Reliab., 2025)