Soundar Kumara

Affiliate Researcher
Titles and Affiliations
Allen E. Pearce and Allen M. Pearce Professor, Marcus Department of Industrial and Manufacturing Engineering

In the News

Research Keywords

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Projects

Recent Publications

Preference based scheduling in a healthcare provider network

Agrawal, D., Pang, G. & Kumara, S., 2022, (Accepted/In press) In: European Journal of Operational Research.

Research output: Contribution to journalArticlepeer-review

Process Monitoring: Distinguishing Defect Shapes by Strain Field Signatures

Basu, S., McComb, C., Rifat, M., Sun, H. & Kumara, S., Sep 2022, In: Manufacturing Letters. 33, p. 808-816 9 p.

Research output: Contribution to journalArticlepeer-review

Online Improvement of Condition-Based Maintenance Policy via Monte Carlo Tree Search

Hoffman, M., Song, E., Brundage, M. P. & Kumara, S., Jul 1 2022, In: IEEE Transactions on Automation Science and Engineering. 19, 3, p. 2540-2551 12 p.

Research output: Contribution to journalArticlepeer-review

Online Maintenance Prioritization Via Monte Carlo Tree Search and Case-Based Reasoning

Hoffman, M., Song, E., Brundage, M. & Kumara, S., Aug 1 2022, In: Journal of Computing and Information Science in Engineering. 22, 4, 041005.

Research output: Contribution to journalArticlepeer-review

Spatiotemporal Monitoring of Melt-Pool Variations in Metal-Based Additive Manufacturing

Yang, H., Zhang, S., Lu, Y., Witherell, P. & Kumara, S., Jul 1 2022, In: IEEE Robotics and Automation Letters. 7, 3, p. 8249-8256 8 p.

Research output: Contribution to journalArticlepeer-review

Ontology-Driven Learning of Bayesian Network for Causal Inference and Quality Assurance in Additive Manufacturing

Chen, R., Lu, Y., Witherell, P., W. Simpson, T., Kumara, S. & Yang, H., Jul 2021, In: IEEE Robotics and Automation Letters. 6, 3, p. 6032-6038 7 p., 9457187.

Research output: Contribution to journalArticlepeer-review

Gaining Insights into Patient Satisfaction through Interpretable Machine Learning

Liu, N., Kumara, S. & Reich, E., Jun 2021, In: IEEE Journal of Biomedical and Health Informatics. 25, 6, p. 2215-2226 12 p., 9261088.

Research output: Contribution to journalArticlepeer-review

Ontology-based Process Map for Metal Additive Manufacturing

Roh, B. M., Kumara, S. R. T., Witherell, P. & Simpson, T. W., 2021, (Accepted/In press) In: Journal of Materials Engineering and Performance.

Research output: Contribution to journalArticlepeer-review

Edge-cloud computing performance benchmarking for IoT based machinery vibration monitoring

Verma, A., Goyal, A., Kumara, S. & Kurfess, T., Jan 2021, In: Manufacturing Letters. 27, p. 39-41 3 p.

Research output: Contribution to journalArticlepeer-review

Six-Sigma Quality Management of Additive Manufacturing

Yang, H., Rao, P., Simpson, T., Lu, Y., Witherell, P., Nassar, A. R., Reutzel, E. & Kumara, S., Apr 2021, In: Proceedings of the IEEE. 109, 4, p. 347-376 30 p., 9272610.

Research output: Contribution to journalReview articlepeer-review

Stable matching of customers and manufacturers for sharing economy of additive manufacturing

Yang, H., Chen, R. & Kumara, S., Oct 2021, In: Journal of Manufacturing Systems. 61, p. 288-299 12 p.

Research output: Contribution to journalArticlepeer-review

A decision support methodology for integrated machining process and operation plans for sustainability and productivity assessment

Hatim, Q. Y., Saldana, C., Shao, G., Kim, D. B., Morris, K. C., Witherell, P., Rachuri, S. & Kumara, S., Apr 1 2020, In: International Journal of Advanced Manufacturing Technology. 107, 7-8, p. 3207-3230 24 p.

Research output: Contribution to journalArticlepeer-review

Privacy-preserving data mining for smart manufacturing

Hu, Q., Chen, R., Yang, H. & Kumara, S., 2020, In: Smart and Sustainable Manufacturing Systems. 4, 2

Research output: Contribution to journalArticlepeer-review

Semi-Supervised Learning Algorithm for Identifying High-Priority Drug-Drug Interactions through Adverse Event Reports

Liu, N., Chen, C. B. & Kumara, S., Jan 2020, In: IEEE Journal of Biomedical and Health Informatics. 24, 1, p. 57-68 12 p., 8786248.

Research output: Contribution to journalArticlepeer-review

Early stage machine learning–based prediction of US county vulnerability to the COVID-19 pandemic: Machine learning approach

Mehta, M., Julaiti, J., Griffin, P. & Kumara, S., Jul 2020, In: JMIR Public Health and Surveillance. 6, 3, e19446.

Research output: Contribution to journalArticlepeer-review