Modelling the machine loading problem of FMSs and its solution using a tabu-search-based heuristic. - U. M. B. S. Sarma; Suman Kant; Rahul Rai; M. K. Tiwari (Int. J. Comput. Integr. Manuf., 2002)

Agent-based optimization for product family design. - Rahul Rai; Venkat Allada (Ann. Oper. Res., 2006)

A Stochastic Tree-Search Algorithm for Generative Grammars1. - Matthew I. Campbell; Rahul Rai; Tolga Kurtoglu (J. Comput. Inf. Sci. Eng., 2012)

Sequential randomized matrix factorization. - Shaunak D. Bopardikar; Sujit S. Nair; Rahul Rai (ACC, 2013)

Jacobian matrix singularity based pareto front identification for multi-objective problems. - Brandon Brown; Tarunraj Singh; Rahul Rai (ACC, 2013)

Autonomous task assignment of multiple operators for human robot interaction. - Manoranjan Majji; Rahul Rai (ACC, 2013)

Human factors study on the usage of BCI headset for 3D CAD modeling. - S. Sree Shankar; Rahul Rai (Comput. Aided Des., 2014)

Laplacian graph based approach for uncertainty quantification of large scale dynamical systems. - Arpan Mukherjee; Rahul Rai; Puneet Singla; Tarunraj Singh; Abani K. Patra (ACC, 2015)

Assembly-based conceptual 3D modeling with unlabeled components using probabilistic factor graph. - Prakhar Jaiswal; Jinmiao Huang; Rahul Rai (Comput. Aided Des., 2016)

Fragmentary shape recognition: A BCI study. - Rahul Rai; Akshay V. Deshpande (Comput. Aided Des., 2016)

Sketching in three dimensions: A beautification scheme. - S. Sree Shankar; Rahul Rai (Artif. Intell. Eng. Des. Anal. Manuf., 2017)

Data-driven simulation for fast prediction of pull-up process in bottom-up stereo-lithography. - Jun Wang 169; Sonjoy Das; Rahul Rai; Chi Zhou 004 (Comput. Aided Des., 2018)

FeatureNet: Machining feature recognition based on 3D Convolution Neural Network. - Zhibo Zhang; Prakhar Jaiswal; Rahul Rai (Comput. Aided Des., 2018)

Conceptual Three-Dimensional Modeling Using Intuitive Gesture-Based Midair Three-Dimensional Sketching Technique. - Jinmiao Huang; Rahul Rai (J. Comput. Inf. Sci. Eng., 2018)

A Sequential Sampling Algorithm for Multistage Static Coverage Problems. - Binbin Zhang; Jida Huang; Rahul Rai; Hemanth Manjunatha (J. Comput. Inf. Sci. Eng., 2018)

Additive Manufacturing of Functionally Graded Material Objects: A Review. - Binbin Zhang; Prakhar Jaiswal; Rahul Rai; Saigopal Nelaturi (J. Comput. Inf. Sci. Eng., 2018)

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

Gesture-based system for next generation natural and intuitive interfaces. - Jinmiao Huang; Prakhar Jaiswal; Rahul Rai (Artif. Intell. Eng. Des. Anal. Manuf., 2019)

An ontological approach to representing the product life cycle. - J. Neil Otte; Dimitris Kiritsis; Munira Mohd Ali; Ruoyu Yang; Binbin Zhang; Ron Rudnicki; Rahul Rai; Barry Smith 001 (Appl. Ontology, 2019)

A geometric reasoning approach for additive manufacturing print quality assessment and automated model correction. - Prakhar Jaiswal; Rahul Rai (Comput. Aided Des., 2019)

A product life cycle ontology for additive manufacturing. - Munira Mohd Ali; Rahul Rai; J. Neil Otte; Barry Smith 001 (Comput. Ind., 2019)

Deep Learning for Control: a non-Reinforcement Learning View. - Ion Matei; Raj Minhas; Maksym Zhenirovskyy; Johan de Kleer; Rahul Rai (ACC, 2020)

The Industrial Ontologies Foundry (IOF) Perspectives. - Mohamed-Hedi Karray; J. Neil Otte; Dimitris Kiritsis; Farhad Ameri; Boonserm Kulvatunyou; Chris Will; Rebeca Arista; Rahul Rai; Barry Smith 001 (I-ESA Workshops, 2020)

Multi-resolution CNN for brain vessel segmentation from cerebrovascular images of intracranial aneurysm: a comparison of U-Net and DeepMedic. - Tatsat R. Patel; Nikhil Paliwal; Prakhar Jaiswal; Mohammad Waqas; Maxim Mokin; Adnan H. Siddiqui; Hui Meng; Rahul Rai; Vincent M. Tutino (Computer-Aided Diagnosis, 2020)

Driven by Data or Derived Through Physics? A Review of Hybrid Physics Guided Machine Learning Techniques With Cyber-Physical System (CPS) Focus. - Rahul Rai; Chandan K. Sahu (IEEE Access, 2020)

A physics-aware learning architecture with input transfer networks for predictive modeling. - Amir Behjat; Chen Zeng; Rahul Rai; Ion Matei; David S. Doermann; Souma Chowdhury (Appl. Soft Comput., 2020)

Ontology-based approach to extract product's design features from online customers' reviews. - Munira Mohd Ali; Mamadou Bilo Doumbouya; Thierry Louge; Rahul Rai; Mohamed-Hedi Karray (Comput. Ind., 2020)

Hybrid modeling: Applications in real-time diagnosis. - Ion Matei; Johan de Kleer; Alexander Feldman; Rahul Rai; Souma Chowdhury (CoRR, 2020)

Interpretable machine learning models: a physics-based view. - Ion Matei; Johan de Kleer; Christoforos Somarakis; Rahul Rai; John S. Baras (CoRR, 2020)

Identifying Weakly Connected Subsystems in Building Energy Model for Effective Load Estimation in Presence of Parametric Uncertainty. - Arpan Mukherjee; Anna Kuechle Szweda; Andrew Alegria; Rahul Rai; Tarunraj Singh (CoRR, 2020)

Deep Learning based Multi-Modal Sensing for Tracking and State Extraction of Small Quadcopters. - Zhibo Zhang; Chen Zeng; Maulikkumar Dhameliya; Souma Chowdhury; Rahul Rai (CoRR, 2020)

Overlapping Clustering Based Technique for Scalable Uncertainty Quantification in Physical Systems. - Arpan Mukherjee; Rahul Rai; Puneet Singla; Tarunraj Singh; Abani K. Patra (SIAM/ASA J. Uncertain. Quantification, 2020)

IH-GAN: A Conditional Generative Model for Implicit Surface-Based Inverse Design of Cellular Structures. - Jun Wang; Wei Wayne Chen; Mark D. Fuge; Rahul Rai (CoRR, 2021)

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

Semantic Map Injected GAN Training for Image-to-Image Translation. - Balaram Singh Kshatriya; Shiv Ram Dubey; Himangshu Sarma; Kunal Chaudhary; Meva Ram Gurjar; Rahul Rai; Sunny Manchanda (CoRR, 2021)

MIDPhyNet: Memorized infusion of decomposed physics in neural networks to model dynamic systems. - Zhibo Zhang; Rahul Rai; Souma Chowdhury; David S. Doermann (Neurocomputing, 2021)

Enriching the functionally graded materials (FGM) ontology for digital manufacturing. - Munira Mohd Ali; Ruoyu Yang; Binbin Zhang; Francesco Furini; Rahul Rai; J. Neil Otte; Barry Smith 001 (Int. J. Prod. Res., 2021)

Machine learning in manufacturing and industry 4.0 applications. - Rahul Rai; Manoj Kumar Tiwari; Dmitry A. Ivanov 001; Alexandre Dolgui (Int. J. Prod. Res., 2021)

Artificial intelligence (AI) in augmented reality (AR)-assisted manufacturing applications: a review. - Chandan K. Sahu; Crystal Young; Rahul Rai (Int. J. Prod. Res., 2021)

The interpretive model of manufacturing: a theoretical framework and research agenda for machine learning in manufacturing. - Ajit Sharma; Zhibo Zhang; Rahul Rai (Int. J. Prod. Res., 2021)

Controlling Draft Interactions Between Quadcopter Unmanned Aerial Vehicles with Physics-aware Modeling. - Ion Matei; Chen Zeng; Souma Chowdhury; Rahul Rai; Johan de Kleer (J. Intell. Robotic Syst., 2021)

Automated Procedure Reconfiguration Framework for Augmented Reality-Guided Maintenance Applications. - Crystal Young; Rahul Rai (J. Comput. Inf. Sci. Eng., 2021)

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

Deep Learning and Handheld Augmented Reality Based System for Optimal Data Collection in Fault Diagnostics Domain. - Ryan Nguyen; 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)

Generative design of conformal cubic periodic cellular structures using a surrogate model-based optimisation scheme. - Jun Wang 169; Rahul Rai (Int. J. Prod. Res., 2022)

An Optimization Framework for Operational-Level Resource Composition in an Inclusive Manufacturing System. - Sube Singh; Ayush Mohanty; Rahul Rai; Biswajit Mahanty; Manoj Kumar Tiwari (J. Comput. Inf. Sci. Eng., 2022)

PIMNet: Physics-Infused Neural Network for Human Motion Prediction. - Zhibo Zhang; Yanjun Zhu; Rahul Rai; David S. Doermann (IEEE Robotics Autom. Lett., 2022)

Adaptive Online Fault Mitigation using Hierarchical Engine Control. - Dhrubajit Chowdhury; Raman Goyal; Raj Pradip Khawale; Lara S. Crawford; Rahul Rai (ACC, 2023)

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)

Surface Acoustic Wave Propagation of GaN/Sapphire Integrated with a Gold Guiding Layer. - Muhammad Musoddiq Jaafar; Mohd Farhanulhakim Mohd Razip Wee; Hoang-Tan-Ngoc Nguyen; Le Trung Hieu; Rahul Rai; Ashish Kumar Sahoo; Chang Fu Dee; Edward Yi Chang; Burhanuddin Yeop Majlis; Clarence Augustine Th Tee (Sensors, 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)

Vision-based autonomous navigation stack for tractors operating in peach orchards. - Shengli Xu; Rahul Rai (Comput. Electron. Agric., 2024)

Blockchain technology for requirement traceability in systems engineering. - Mohan S. R. Elapolu; Rahul Rai; David J. Gorsich; Denise M. Rizzo; Stephen Rapp; Matthew P. Castanier (Inf. Syst., 2024)

Security in modern manufacturing systems: integrating blockchain in artificial intelligence-assisted manufacturing. - Dhruv Patel; Chandan K. Sahu; Rahul Rai (Int. J. Prod. Res., 2024)

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)

Dense object detection based canopy characteristics encoding for precise spraying in peach orchards. - Shengli Xu; Siqi Zheng; Rahul Rai (Comput. Electron. Agric., 2025)

Trailer-referenced autonomous navigation of agricultural tractor-trailer systems. - Siqi Zheng; Shengli Xu; Rahul Rai (Comput. Electron. Agric., 2025)

ReqNet and ReqSim: A Network and Semantic Similarity Dataset of Requirements From the Tree Structure of System Requirement Specifications. - Chandan K. Sahu; Rahul Rai; Margaret Wiecek; David J. Gorsich (J. Comput. Inf. Sci. Eng., 2025)

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)

MPTP-Net: melt pool temperature profile network for thermal field modeling in beam shaping of laser powder bed fusion. - Shengli Xu; Rahul Rai; Robert D. Moore; Giovanni Orlandi; Fadi Abdeljawad (J. Intell. Manuf., 2025)