Education
- Ph.D., Industrial Engineering; Oklahoma State University (2013)
- M.S., Industrial Engineering; Oklahoma State University (2006)
- B.Eng. degree (First Class) Production Engineering, Victoria Jubilee Technical Institute (VJTI), Bombay University, India (2003)
Research Interests
Manufacturing | Sensing | Analytics
- Monitoring of ultraprecision nanomanufacturing and additive manufacturing (AM) processes
- Sensor-based predictive analytics and quality monitoring of data rich complex systems
- Surface Morphology and dimensional integrity monitoring
- Design of wireless sensors networks and digital data acquisition
Honors and Awards
- Outstanding Reviewer, Society of Manufacturing Engineers, Journal of Manufacturing Systems, 2018
- Society of Manufacturing Engineers, Outstanding Young Manufacturing Engineer Award, 2017
- Finalist: IIE Manufacturing and Design Division Young Investigator Award, 2016
- Nominated for Institute of Industrial Engineers, Pritsker Doctoral Dissertation Award, 2014
- Nominated for university-wide Dissertation Award, 2013
- Finalist, Institute of Industrial Engineers, John L. Imhoff graduate fellowship, 2011
- Outstanding Research Assistant Award, Alpha Pi Mu, Oklahoma State University chapter, 2008
Professional Memberships
Selected Publications
- Z. Smoqi, J. Toddy, H. Halliday, J. E. Shield, and P. Rao. Process-Structure Relationship in the Directed Energy Deposition of Cobalt-Chromium Alloy Coatings. Materials and Design, Volume 197, January 2021. doi: 10.1016/j.matdes.2020.109229
- S. Ramesh, Y. Zhang, D. Cormier, O. Harrysson, P. Rao, A. Tamayol, I. Rivero Extrusion Bioprinting: Recent Progress, Challenges, and Future Opportunities. Bioprinting, (In-Press) doi: 10.1016/j.bprint.2020.e00116
- H. Yang, P. Rao, T. Simpson, Y. Lu, P. Witherell, A. R. Nassar, E. Reutzel, and S. Kumara Six-sigma Quality Management of Additive Manufacturing. Proceedings of the IEEE (In-Press) doi: 10.1109/JPROC.2020.3034519
- J. Liu, J. Zheng, P. Rao, and Z. Kong. Machine learning–driven in situ process monitoring with vibration frequency spectra for chemical mechanical planarization. International Journal Advanced Manufacturing Technology, 111, 1873–1888 (2020). https://doi.org/10.1007/s00170-020-06165-1
- A. C. Gaikwad, B. Giera, G.M. Guss, J-B Forien, M. J. Matthews, and P. Rao. Heterogeneous Sensing and Scientific Machine Learning for Quality Assurance in Laser Powder Bed Fusion – A Single-track Study. Additive Manufacturing (Accepted, In-Press, October 7, 2020). doi:/10.1016/j.addma.2020.101659
- R. Yavari, R.J. Williams, K. Cole, P. Hooper, and P. Rao. Thermal Modeling in Metal Additive Manufacturing using Graph Theory: Experimental Validation with In-situ Infrared Thermography Data from Laser Powder Bed Fusion. ASME Transactions, Journal of Manufacturing Science and Engineering, 142(12): 121005, 2020. doi: 10.1115/1.4047619.
- J. Williams, P. Rao, A. Samal, M. Johnson. Paired Trial Classification: A Novel Deep Learning Technique for MVPA. Frontiers of Neuroscience, Volume 14, Issue 47, April 2020. doi: 10.3389/fnins.2020.00417
- R. Salary, J.P. Lombardi, D. L. Weerawane, M.S. Tootooni, P. Rao, M. Poliks. A Sparse Representation-based Classification (SRC) Approach for Near Real-time Functional Monitoring of Aerosol Jet-Printed Electronic Devices. ASME Transactions, Journal of Manufacturing Science and Engineering 142(8): 081007, 2020. doi:/10.1115/1.4047045
- K. Cole, R. Yavari, and P.Rao. Computational heat transfer with spectral graph theory: Quantitative verification, International Journal of Thermal Sciences. Volume 153, July 2020. doi: 10.1016/j.ijthermalsci.2020.106383
- S. Gerdes, A. Mostafavi, S. Ramesh, A. Memic, I. Rivero, P. Rao, and A. Tamayol. Process-Structure-Quality Relationships of 3D Printed PCL-Hydroxyapatite Scaffolds, Tissue Engineering (Part A), (Accepted, in-press, available online). doi: 10.1089/ten.TEA.2019.0237
- A.C. Gaikwad, R. Yavari, M. Montazeri, K. Cole, L. Bian, P. Rao. Toward the Digital Twin in Metal Additive Manufacturing – Integrating Thermal Simulations, Sensing, and Analytics to Detect Process Faults, IISE Transactions (Accepted) doi: 10.1080/24725854.2019.1701753
- A.C. Gaikwad, F. Imani, H. Yang, E. Reutzel, and, P. Rao Prediction of Build Quality in Laser Powder Bed Fusion using Deep Learning of In-Situ Images, ASTM Journal of Smart and Sustainable Manufacturing System 3 (1), pp. 98-121, 2019. doi:10.1520/SSMS20190027
- M. Montazeri, A. Nassar. C. Stutzman, P. Rao Heterogeneous Sensor-based Condition Monitoring in Directed Energy Deposition, Additive Manufacturing, Volume 30, December 2019, 100916. doi.org/10.1016/j.addma.2019.100916
- M. Amini, S.I. Chang, P. Rao. A Cybermanufacturing and Artificial Intelligence Framework for Laser Powder Bed Fusion (LPBF) Additive Manufacturing Process, Manufacturing Letters, 21, pp. 41-44, 2019. doi:10.1016/j.mfglet.2019.08.007
- M. Montazeri, A. Nassar, A. Dunbar, P. Rao, In-Process Monitoring of Porosity in Additive Manufacturing Using In-Process Optical Emission Spectroscopy Signals, IISE Transactions (Manufacturing and Design), 2019, Accepted, In-Press. doi: 0.1080/24725854.2019.1659525