A method for generating random cutting-tool requirement matrices for manufacturing systems simulation. - Dharmaraj Veeramani; Moshe M. Barash; James R. Wilson (WSC, 1991)

Task and Resource Allocation via Auctioning. - Dharmaraj Veeramani (WSC, 1992)

Selection of an optimal set of cutting-tool sizes for 2D pocket machining. - Dharmaraj Veeramani; Yuh-Shying Gau (Comput. Aided Des., 1997)

A Multi-Attribute Reverse Auction for Outsourcing. - Debasis Mishra; Dharmaraj Veeramani (DEXA Workshops, 2002)

Performance Evaluation of Multi-Object Auctions. - Debasis Mishra; Sunil S. Reddy; Dharmaraj Veeramani (Electron. Commer. Res., 2005)

Vickrey-Dutch procurement auction for multiple items. - Debasis Mishra; Dharmaraj Veeramani (Eur. J. Oper. Res., 2007)

A Framework for Assessing the Value of RFID Implementation by Tier-One Suppliers to Major Retailers. - Dharmaraj Veeramani; Jenny Tang; Alfonso Gutierrez (J. Theor. Appl. Electron. Commer. Res., 2008)

Tag performance evaluation and optimisation of Gen 2 reader communication for radio frequency identification deployment in supply chains. - Chongsun Oh; Craig Dighero; Scott Thomas; Dharmaraj Veeramani (Int. J. RF Technol. Res. Appl., 2009)

Variation of signal strength and electromagnetic field pattern in conveyor-based radio frequency identification systems. - Chongsun Oh; Dharmaraj Veeramani (Int. J. Radio Freq. Identif. Technol. Appl., 2011)

Statistical monitoring of multiple profiles simultaneously using Gaussian processes. - Salman Jahani; Raed Kontar; Dharmaraj Veeramani; Shiyu Zhou (Qual. Reliab. Eng. Int., 2018)

Multi-output Gaussian Process Modulated Poisson Processes for Event Prediction. - Salman Jahani; Shiyu Zhou; Dharmaraj Veeramani; Jeff Schmidt (CoRR, 2020)

Remaining useful life prediction based on degradation signals using monotonic B-splines with infinite support. - Salman Jahani; Raed Kontar; Shiyu Zhou; Dharmaraj Veeramani (IISE Trans., 2020)

Event Prediction for Individual Unit Based on Recurrent Event Data Collected in Teleservice Systems. - Akash Deep; Dharmaraj Veeramani; Shiyu Zhou (IEEE Trans. Reliab., 2020)

Copula-based multi-event modeling and prediction using fleet service records. - Akash Deep; Shiyu Zhou; Dharmaraj Veeramani (IISE Trans., 2021)

A deep learning approach for predicting critical events using event logs. - Congfang Huang; Akash Deep; Shiyu Zhou; Dharmaraj Veeramani (Qual. Reliab. Eng. Int., 2021)

Stochastic prognostics under multiple time-varying environmental factors. - Salman Jahani; Shiyu Zhou; Dharmaraj Veeramani (Reliab. Eng. Syst. Saf., 2021)

Multioutput Gaussian Process Modulated Poisson Processes for Event Prediction. - Salman Jahani; Shiyu Zhou; Dharmaraj Veeramani; Jeff Schmidt (IEEE Trans. Reliab., 2021)

Field-Based Assessment of Joint Motions in Construction Tasks with and Without Exoskeletons in Support of Worker-Exoskeleton Partnership Modeling and Simulation. - Sean Tyler Bennett; Peter Gabriel Adamczyk; Fei Dai 003; Michael Wehner; Dharmaraj Veeramani; Zhenhua Zhu (WSC, 2022)

Identifying Facilitators, Barriers, and Potential Solutions of Adopting Exoskeletons and Exosuits in Construction Workplaces. - Dilruba Mahmud; Sean Tyler Bennett; Zhenhua Zhu; Peter G. Adamczyk; Michael Wehner; Dharmaraj Veeramani; Fei Dai 003 (Sensors, 2022)

A Custom Word Embedding Model for Clustering of Maintenance Records. - Abhijeet Sandeep Bhardwaj; Akash Deep; Dharmaraj Veeramani; Shiyu Zhou (IEEE Trans. Ind. Informatics, 2022)

Gaze-aware hand gesture recognition for intelligent construction. - Xin Wang; Dharmaraj Veeramani; Zhenhua Zhu (Eng. Appl. Artif. Intell., 2023)

Industrial system working condition identification using operation-adjusted hidden Markov model. - Jinwen Sun; Akash Deep; Shiyu Zhou; Dharmaraj Veeramani (J. Intell. Manuf., 2023)

HMM-Based Joint Modeling of Condition Monitoring Signals and Failure Event Data for Prognosis. - Akash Deep; Shiyu Zhou; Dharmaraj Veeramani; Yong Chen (IEEE Trans. Reliab., 2023)

Identifying equipment health status from maintenance records using Lexicon based Unsupervised Sentiment Analysis Adjusted for Negation (LUSAA-N). - Abhijeet Sandeep Bhardwaj; Dharmaraj Veeramani; Shiyu Zhou (Comput. Ind. Eng., 2023)

Partially observable Markov decision process-based optimal maintenance planning with time-dependent observations. - Akash Deep; Shiyu Zhou; Dharmaraj Veeramani; Yong Chen (Eur. J. Oper. Res., 2023)

Confidently extracting hierarchical taxonomy information from unstructured maintenance records of industrial equipment. - Abhijeet Sandeep Bhardwaj; Dharmaraj Veeramani; Shiyu Zhou (Int. J. Prod. Res., 2023)

A systematic review and evaluation of synthetic simulated data generation strategies for deep learning applications in construction. - Liqun Xu; Hexu Liu; Bo Xiao; Xiaowei Luo; Dharmaraj Veeramani; Zhenhua Zhu (Adv. Eng. Informatics, 2024)

Context-aware hand gesture interaction for human-robot collaboration in construction. - Xin Wang; Dharmaraj Veeramani; Fei Dai 003; Zhenhua Zhu (Comput. Aided Civ. Infrastructure Eng., 2024)

An unsupervised multi-class ensemble classifier for identifying equipment failure mechanisms from maintenance records. - Abhijeet Sandeep Bhardwaj; Dharmaraj Veeramani (Reliab. Eng. Syst. Saf., 2025)

Prediction of Condition Monitoring Signals Using Scalable Pairwise Gaussian Processes and Bayesian Model Averaging. - Jinwen Sun; Shiyu Zhou; Dharmaraj Veeramani; Kaibo Liu (IEEE Trans Autom. Sci. Eng., 2025)