DEN-HMM: Deep Emission Network-Based Hidden Markov Model with Time-Evolving Multivariate Observations. V. Bansal, S. Zhou. IISE Transactions, 2025. Accepted

1. 1. • Finalist, QCRE Best Student Paper Competition, IISE Annual Conference 2024.

      • Featured in the November 2025 issue of the Industrial and Systems Engineer (ISE) Magazine.

 Deep Belief Enabled Coupled State Transition Model. V. Bansal, S. Zhou. Reliability Engineering & System Safety. Under Review

 Component-Wise Markov Decision Process for Solving Condition-Based Maintenance of Large Multi-Component Systems with Economic Dependence. V. Bansal, Y. Chen, S. Zhou. IISE Transactions, 2024. Published

1. 1. • Best Paper, 2025 IISE Transactions Focus Issue on Data Science, Quality and Reliability.

      • Runner Up, QCRE Best Poster Competition, IISE Annual Conference & Expo 2024.

 A Rollout Approach for Condition-Based Maintenance of Large Multi-Unit Systems. V. Bansal, Y. Chen, S. Zhou. Journal of Risk and Reliability, 2025. Published

1. 1. • Finalist, QCRE Best Student Paper Competition, IISE Annual Conference 2023.

Condition-Based Maintenance Planning for K-out-of-N Systems under Partial Observability. H. Hu, V. Bansal, Y. Chen, S. Zhou. Reliability Engineering & System Safety, 2026. Published

A Scalable Approach for Condition Based Maintenance of Large K-out-of-N Systems. H. Hu, V. Bansal, Y. Chen, S. Zhou. IEEE Transactions on Reliability. Revised & Resubmitted

 Fatigue Modeling for Laser Fused Metal Components with Small Data: From Scattering to Reliability. P. Kousoulasa, V. Bansal, Z. Xi, S. Zhou, Y. Guo. ASME Journal of Manufacturing Science and Engineering, 2025. Published

Deep Learning-Based Anomaly Detection for Laser-Fused Metal Components Using Pyrometric Data. V. Bansal, P. Kousoulasa, S. Zhou, Y. Guo. ASME Journal of Manufacturing Science and Engineering, 2025. Just Accepted

Deep Learning-Based Anomaly Detection for Laser-Fused Metal Components Using Pyrometric Data. V. Bansal, P. Kousoulasa, S. Zhou, Y. Guo. ASME Journal of Manufacturing Science and Engineering, 2025. Just Accepted

 Classical Simulation of Variational Quantum Classifiers Using Tensor Rings. D. Peddireddy, V. Bansal, V. Aggarwal. Applied Soft Computing, 141, 2023. Published

Tensor Ring Parametrized Variational Quantum Circuits for Large Scale Quantum Machine Learning. D. Peddireddy, V. Bansal, Z. Jacob, V. Aggarwal. QTNML Workshop, NeurIPS 2021, December 2021, Virtual. Published

Project:  Developing Foundation Models for Time Series Analysis.

•  Funded by: Oshkosh Corporation

Project:  Patient Survival Prediction using EHR data

•  Funded by: American Family Insurance