PI-LSTM: Physics-Infused Long Short-Term Memory Network. - Shubhendu Kumar Singh; Ruoyu Yang; Amir Behjat; Rahul Rai; Souma Chowdhury; Ion Matei (ICMLA, 2019)

Fuzzy Generative Adversarial Networks. - Ryan Nguyen; Shubhendu Kumar Singh; Rahul Rai (CoRR, 2021)

Physics-Infused Fuzzy Generative Adversarial Network for Robust Failure Prognosis. - Ryan Nguyen; Shubhendu Kumar Singh; Rahul Rai (CoRR, 2022)

Personal protective equipments (PPEs) for COVID-19: a product lifecycle perspective. - Shubhendu Kumar Singh; Raj Pradip Khawale; Haiyong Chen; Haolong Zhang; Rahul Rai (Int. J. Prod. Res., 2022)

Hybrid Machine Learning and Autonomous Control Assisted Framework for Fault Diagnostics and Mitigation in Diesel Engines. - Raman Goyal; Dhrubajit Chowdhury; Subhashis Hazarika; Raj Pradip Khawale; Shubhendu Kumar Singh; Lara S. Crawford; Rahul Rai (AIAI (2), 2023)

FuzzyGAN: Fuzzy generative adversarial networks for regression tasks. - Ryan Nguyen; Shubhendu Kumar Singh; Rahul Rai (Neurocomputing, 2023)

Deep Learning Architecture for Computer Vision-based Structural Defect Detection. - Ruoyu Yang; Shubhendu Kumar Singh; Mostafa Tavakkoli; M. Amin Karami; Rahul Rai (Appl. Intell., 2023)

Machine learning based prediction of melt pool morphology in a laser-based powder bed fusion additive manufacturing process. - Zhibo Zhang; Chandan K. Sahu; Shubhendu Kumar Singh; Rahul Rai; Zhuo Yang; Yan Lu (Int. J. Prod. Res., 2024)

Deep Learning in Computational Design Synthesis: A Comprehensive Review. - Shubhendu Kumar Singh; Rahul Rai; Raj Pradip Khawale; Darshil Patel; Dustin Bielecki; Ryan Nguyen; Jun Wang 169; Zhibo Zhang (J. Comput. Inf. Sci. Eng., 2024)

Hybrid physics-infused 1D-CNN based deep learning framework for diesel engine fault diagnostics. - Shubhendu Kumar Singh; Raj Pradip Khawale; Subhashis Hazarika; Ankur Bhatt; Brian Gainey; Benjamin Lawler; Rahul Rai (Neural Comput. Appl., 2024)

Hybrid Physics-Infused One-Dimensional Convolutional Neural Network-Based Ensemble Learning Framework for Diesel Engine Fault Diagnostics. - Shubhendu Kumar Singh; Raj Pradip Khawale; Subhashis Hazarika; Rahul Rai (J. Comput. Inf. Sci. Eng., 2025)