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)

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)

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)