Under Review

• [R3] Deep Belief Enabled Coupled State Transition Model. V. Bansal, S. Zhou. Reliability Engineering & System Safety. Under Review

• [R2] 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

• [R1] RCWMDP: Resource Constraint Component Wise Markov Decision Processes for Condition Based Maintenance of Large Multi Component System V. Bansal, Y. Chen, S. Zhou. Under Review

Published / Accepted Works

• • [J13] 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

  • [J12] 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

  • [J11] 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. Published

  • [J10] DEN-HMM: Deep Emission Network-Based Hidden Markov Model with Time-Evolving Multivariate Observations. V. Bansal, S. Zhou. IISE Transactions, 2025. Accepted

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

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

  • [J9] Two-Step Training a Single Physics-Informed Neural Network for Solving Navier-Stokes Equations with Various Boundary Conditions. V. Bansal, S. Zhou, N. Strike. Manufacturing Letters, 44, pp.48–58, 2025. (NAMRC 2025) Published

  • [J8] 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

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

  • [J7] 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

  • [J6] 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

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

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

  • [J5] Classical Simulation of Variational Quantum Classifiers Using Tensor Rings. D. Peddireddy, V. Bansal, V. Aggarwal. Applied Soft Computing, 141, 2023. Published

  • [J4] Computational Intelligence Enabled Student Performance Estimation in the Age of COVID-19. V. Bansal, H. Buckchash, B. Raman. SN Computer Science, 2022. Published

  • [J3] Classification of COVID-19 from Chest X-ray Images Using Deep Features and Correlation Coefficient. R. Kumar, R. Arora, V. Bansal, et al. Multimedia Tools and Applications, 81(19), 2022. Published

  • [J2] AI-Based Diagnosis of COVID-19 Patients Using X-ray Scans with Stochastic Ensemble of CNNs. R. Arora, V. Bansal, H. Buckchash, et al. Physical and Engineering Sciences in Medicine, 2021. Published

  • [J1] Discriminative Auto-Encoding for Classification and Representation Learning Problems. V. Bansal, H. Buckchash, B. Raman. IEEE Signal Processing Letters, vol. 28, pp. 987–991, 2021. Published

Conference / Workshop Papers

• • [C1] 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

[J]: Peer-reviewed Journal  ·  [R]: Under Review  ·  [C]: Peer-reviewed Conference