Book Chapter (* indicates Graduate student, ** indicates Undergraduate student)

• Yodo, N., & Dey, A.* (2020). Multi-Objective Optimization for FDM Process Parameters with Evolutionary Algorithms. Fused Deposition Modeling Based 3D Printing, Pages 419-444.

Journal Articles (* indicates Graduate student, ** indicates Undergraduate student)

• Rahman, M. M.*, Dey, A., Yodo, N., Lee, C. W., & Grewell, D. (2023). Soybean By-Products Bioplastic (Polylactic Acid)-Based Plant Containers: Sustainable Development and Performance Study. Sustainability, 15(6), 5373.
• Dey, A., Rahman, M. M.*, Yodo, N., & Grewell, D. (2023).  Development of Biocomposite Filament for Fused Filament Fabrication from Soy Hulls and Soy Protein Isolate. Materials Today Communications, 34, 105316.
• Davila-Frias, A., Yodo, N., Le, T., & Yadav, O. P. (2022). A Deep Neural Network and Bayesian Method based Framework for All-Terminal Network Reliability Estimation Considering Degradation. Reliability Engineering & System Safety, 108881.
• Yodo, N., Afrin, T.*, Yadav, O. P., Wu, D., & Huang, Y. (2022). Condition-based monitoring as a robust strategy towards sustainable and resilient multi-energy infrastructure systems. Sustainable and Resilient Infrastructure, 1-20.
• Asha, L. N.*, Dey, A., Yodo, N., & Aragon, L. G. (2022). Optimization Approaches for Multiple Conflicting Objectives in Sustainable Green Supply Chain Management. Sustainability, 14(19), 12790.
• Dey, A.*, & Yodo, N. (2022). Performance improvement techniques for neural networks in tool condition monitoring. International Journal of Mechatronics and Manufacturing Systems, 15(2-3), 107-126.
• Afrin, T.*, & Yodo, N. (2022). A Hybrid Recovery Strategy toward Sustainable Infrastructure Systems. Journal of Infrastructure Systems, 28(1), 04021054.
• Dey, A.*, & Yodo, N. (2022). Conservative Confidence Interval Prediction in Fused Deposition Modeling Process With Linear Optimization Approach. ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg, 8(1).
• Afrin, T.*, & Yodo, N. (2022). A Long Short-Term Memory-based correlated traffic data prediction framework. Knowledge-Based Systems, 237, 107755.
• Gupta, A.*, Afrin, T.*, Scully, E.**, & Yodo, N. (2021). Advances of UAVs toward Future Transportation: The State-of-the-Art, Challenges, and Opportunities. Future Transportation, 1(2), 326-350.
• Dey, A.*, Roan Eagle, I. N.**, & Yodo, N. (2021). A Review on Filament Materials for Fused Filament Fabrication. Journal of Manufacturing and Materials Processing, 5(3), 69.
• Afrin, T.*, & Yodo, N. (2021). A Probabilistic Estimation of Traffic Congestion Using Bayesian Network. Measurement, 109051.
• Afrin, T.*, & Yodo, N. (2020). A survey of road traffic congestion measures towards a sustainable and resilient transportation system. Sustainability, 12(11), 4660. Featured in Editor's Choice Article 2021 and https://encyclopedia.pub/1636
• Yodo, N. & Afrin, T.* (2020). A resilience assessment of an interdependent multi-energy system with microgrids. Sustainable and Resilient Infrastructure,1-14.
• Dey, A.*, Hoffman, D.**, & Yodo, N. (2020). Optimizing multiple process parameters in fused deposition modeling with particle swarm optimization. International Journal on Interactive Design and Manufacturing (IJIDeM), 14(2), 393-405.
• Khumprom, P*., Grewell, D., & Yodo, N. (2020). Deep Neural Network Feature Selection Approaches for Data-Driven Prognostic Model of Aircraft Engines. Aerospace, 7(9), 132. 
• Dey, A.*, & Yodo, N. (2019). A systematic survey of FDM process parameter optimization and their influence on part characteristics. Journal of Manufacturing and Materials Processing, 3(3), 64. 
• Afrin, T.*, & Yodo, N. (2019). Resilience-based recovery assessments of networked infrastructure systems under localized attacks. Infrastructures, 4(1), 11.
• Khumprom, P.*, & Yodo, N. (2019). A data-driven predictive prognostic model for lithium-ion batteries based on a deep learning algorithm. Energies, 12(4), 660.
• Afrin, T.*, & Yodo, N. (2018). A concise survey of advancements in recovery strategies for resilient complex networks. Journal of Complex Networks, 7(3), 393-420.
• Yodo, N., & Wang, P. (2018). A control-guided failure restoration framework for the design of resilient engineering systems. Reliability Engineering & System Safety, 178, 179-190. 
• Yodo, N., Wang, P., & Rafi, M. (2017). Enabling resilience of complex engineered systems using control theory. IEEE Transactions on Reliability, 67(1), 53-65.

Conference Proceedings (* indicates Graduate student, ** indicates Undergraduate student)

• Dey, A.*, Rahman, M. M.*, & Yodo, N. (2022). Soy-based Biocomposite Filament Development for Fused Filament Fabrication Process. In IISE Annual Conference and Expo 2022.
• Afrin, T.*, & Yodo, N. (2022). Reliability Analysis of Unmanned Aerial Vehicle Communication Networks (UAVCNs) for Intelligent Transportation Systems based on Energy Consumptions. In IISE Annual Conference and Expo 2022.
• Dey, A.*, & Yodo, N. (2022). Robust Response Surface Optimization for Multiple Responses. In IISE Annual Conference and Expo 2022.
• Rahman, M. M.*, Afrin, T.*, Scully, E.**, & Yodo, N. (2022). Two-Echelon Cooperative Vehicle and UAV Routing for Last Mile Humanitarian Relief Operations. In IISE Annual Conference and Expo 2022.
• Shefa, J.*, Afrin, T.*, Yodo, N., & Aragon, L. (2022). Analyzing Resilience of Healthcare Systems with COVID-19 Case Study. In IISE Annual Conference and Expo 2022.
• Afrin, T.*, & Yodo, N. (2021). A Bayesian Network-based Probabilistic Estimation of Traffic Congestion. In IIE Annual Conference. Proceedings (pp. 980-985). Institute of Industrial and Systems Engineers (IISE).
• Afrin, T.*, & Yodo, N. (2021). Correlated Traffic Data Prediction Towards Robust Traffic Management System. In IIE Annual Conference. Proceedings (pp. 968-973). Institute of Industrial and Systems Engineers (IISE).
• Dey, A.*, & Yodo, N. (2021). A Dropout-based Neural Network Framework for Tool Wear Prediction under Uncertainty. In IIE Annual Conference. Proceedings (pp. 902-907). Institute of Industrial and Systems Engineers (IISE).
• Dey, A.*, & Yodo, N. (2021). Robust Response Surface Optimization under Model Parameter Uncertainty. In IIE Annual Conference. Proceedings (pp. 908-913). Institute of Industrial and Systems Engineers (IISE).
• Khumprom, P.*, Yodo, N., & Grewell, D. (2020, January). Neural Networks Based Feature Selection Approaches for Prognostics of Aircraft Engines. In 2020 Annual Reliability and Maintainability Symposium (RAMS) (pp. 1-7). IEEE.
• Afrin, T.*, & Yodo, N. (2020). Towards Resilient Interdependent Networks with a Hybrid Recovery Framework. In IIE Annual Conference. Proceedings (pp. 91-96). Institute of Industrial and Systems Engineers (IISE).
• Dey, A.*, & Yodo, N. (2020). Decision Analysis for Selecting FDM Process Parameters using Bayesian Network Approach. In IIE Annual Conference. Proceedings (pp. 139-144). Institute of Industrial and Systems Engineers (IISE).
• Dey, A.*, & Yodo, N. (2020). Interval Prediction of Remaining Useful Life of Cutting Tools using a Neural Network Approach. In IIE Annual Conference. Proceedings (pp. 145-150). Institute of Industrial and Systems Engineers (IISE).
• Afrin, T.*, & Yodo, N. (2020). An Evaluation on Current Traffic Congestion Measures. In IIE Annual Conference. Proceedings (pp. 133-138). Institute of Industrial and Systems Engineers (IISE).
• Khumprom, P.*, & Yodo, N. (2019, January). Data-driven Prognostic Model of Li-ion Battery with Deep Learning Algorithm. In 2019 Annual Reliability and Maintainability Symposium (RAMS) (pp. 1-6). IEEE.
• Afrin, T.*, & Yodo, N. (2019, January). Resilience Assessment of Repair Strategies Against Localized Attacks for Infrastructure Protection. In 2019 Annual Reliability and Maintainability Symposium (RAMS) (pp. 1-7). IEEE.
• Frias, A. D.*, Yodo, N., & Yadav, O. P. (2019, January). Mixed-Degradation Profiles Assessment of Critical Components in Cyber-Physical Systems. In 2019 Annual Reliability and Maintainability Symposium (RAMS) (pp. 1-6). IEEE.
• Dey, A.*, Yodo, N., & Khoda, B. (2019). Optimizing Process Parameters under Uncertainty in Fused Deposition Modeling. In IIE Annual Conference. Proceedings (pp. 354-359). Institute of Industrial and Systems Engineers (IISE).
• Goethals, P. L., & Yodo, N. (2019). Insider Attack Metrics for Cybersecurity: Investigating Various Research Options. In IIE Annual Conference. Proceedings (pp. 1578-1583). Institute of Industrial and Systems Engineers (IISE).
• Yodo, N., & Goethals, P. L. (2019). Cybersecurity Management via Control Strategies for Resilient Cyber-Physical Systems. In IIE Annual Conference. Proceedings (pp. 1584-1589). Institute of Industrial and Systems Engineers (IISE).