Prahalada Rao, Assistant Professor

Prahalada Rao

Prahalada Rao
Assistant Professor

Mechanical and Materials Engineering
NH East 303 E
Office: 402-472-3458


* corresponding author; # student under my sole supervision; ^ student supported by NSF REU under my supervision; @ joint supervision with another faculty.

  • H. Sun, P. Rao, Z. Kong, X. Ding, and R. Jin* Functional Quantitative and Qualitative Models for Quality Modeling in a Fused Deposition Modeling ProcessIEEE Transactions, Automation Science and Engineering (Accepted), 2017.

  • M. Khanzadhaglian, P. Rao, M. Tschopp, Linkan Bian*, Characterizing the Geometric Accuracy of Additively Manufactured Components Using Self-Organizing Maps, ASME Transactions, Journal of Manufacturing Science and Engineering (Accepted, Pending Revision), 2017.

  • Aboutaleb, M. Tschopp, P. Rao, Linkan Bian*, Accelerated Multiobjective of Part Geometric Accuracy in Additive Manufacturing (AM), ASME Transactions, Journal of Manufacturing Science and Engineering, Vol. 139(10), pp. 101001 – 101014, 2017. doi: 10.1115/1.4037319

  • R. Salary@, J. Lombardi, P. Rao*, M. Poliks, Aerosol Jet Printing (AJP) of Flexible Electronic Devices: Online Monitoring of Functional Electrical Properties Using Shape-from-Shading (SfS) Image Analysis, ASME Transactions, Journal of Manufacturing Science and Engineering (Accepted), Vol. 139(10), pp. 101010 – 101023, 2017. doi:10.1115/1.4036660

  • M.S. Tootooni#, A. Dsouza#, R. Donovan#^, P. Rao*, Z. Kong, P. Borgesen, Classifying the Dimensional Variation in Additive Manufactured Parts from Laser-Scanned 3D Point Cloud Data using Machine Learning Approaches, ASME Transactions, Journal of Manufacturing Science and Engineering, Vol. 139(9), pp. 091005 – 091019, 2017. doi: 10.1115/1.4036641

  • M.S. Tootooni#, C. Liu, D. Roberson, R. Donovan#^, P. Rao*, Z. Kong, S.T.S. Bukkapatnam, Online Non-contact Surface Finish Machining using Graph-based Image Analysis. SME Journal of Manufacturing Systems, Vol. 41, pp. 266-276, October 2016, doi: 10.1016/j.jmsy.2016.09.007.

  • R. Salary@, J. Lombardi, M.S. Tootooni#, R. Donovan#^, P. Rao*, M. Poliks, P. Borgesen, Modeling and Monitoring of Aerosol Jet Printing (AJP) Process. ASME Transactions, Journal of Manufacturing Science and Engineering, 139(2), pp. 021015-021036, October 2016,  doi:10.1115/1.4034591

  • M. S. Tootooni#, P. Rao*, C-A. Chou, Z. Kong, A Spectral Graph Theoretic Approach for Monitoring Multivariate Time Series Data from Complex Dynamical Processes. IEEE Transactions, Automation Science and Engineering (Accepted, In-Press), July 2016. doi: 10.1109/TASE.2016.2598094

  • J. Liu, Omer F. Beyca, P. Rao, Z. Kong*, and S. Bukkapatnam, Dirichlet Process Gaussian Mixture (DPGM) Models for Real-Time Monitoring and its Application to Chemical Mechanical Planarization (CMP). IEEE Transactions, Automation Science and Engineering, Vol. 14(1), pp. 208-221. doi: 10.1109/TASE.2016.2599436

  • K. Bastani, P. Rao, and Z. Kong*, An Online Sparse Estimation-based Classification (OSEC) Approach for Real-time Monitoring in Advanced Manufacturing Process from Heterogeneous Sensor Data. IIE Transactions, Quality and Reliability Engineering, 48(7), pp. 579-598, 2016. Article highlighted in the June 2016 (Volume 48, Number 9) Issue of the Industrial and Systems Engineer (ISE) Magazine. doi: 10.1080/0740817X.2015.1122254

  • P. Rao, Z. Kong*, C. Duty, R. Smith, V. Kunc, and L. Love, Assessment of Dimensional Integrity and Spatial Defect Localization in Additive Manufacturing (AM) using Spectral Graph Theory. ASME Transactions, Journal of Manufacturing Science and Engineering, 138(5), pp. 051007, 2015. doi: 10.1115/1.4031574

  • O. Beyca, P. Rao, Z. Kong*, S. Bukkapatnam, and R. Komanduri, Heterogeneous Sensor Data Fusion Approach for Real-time Monitoring in Ultraprecision Machining (UPM) process using non-parametric Bayesian clustering and evidence theory. IEEE Transactions, Automation Science and Engineering, 13(2), pp.1033-1044, 2016 doi: 10.1109/TASE.2015.2447454

  • P. Rao, J. Liu, D. Roberson, and Z. Kong*, and C. Williams, Online Real-time Quality Monitoring in Additive Manufacturing Processes using Heterogeneous Sensors, ASME Transactions, Journal of Manufacturing Science and Engineering. 137(6), pp. 061007, 2015 doi: 10.1115/1.4029823

  • P. Rao, S. Bukkapatnam*, O. Beyca, Z. Kong, K. Case, and R. Komanduri, A Graph-Theoretic Approach For Quantification Of Surface Morphology and Its Application To Chemical Mechanical Planarization (CMP) ProcessIIE Transactions, Quality and Reliability Engineering, 47(10), pp. 1-24, 2015. Best Paper Award (Honorable Mention), Invited talk at IISE Conference, 2017. Article highlighted in the September 2015, (Volume 47, Number 6) issue of the Industrial Engineer Magazine (now called Industrial and Systems Engineer). doi: 10.1080/0740817X.2014.1001927

  • P. Rao, S. Bukkapatnam*, O. Beyca, Z. Kong, and R. Komanduri, Real-time Identification of Incipient Surface Morphology Variations in Ultraprecision Machining Process. ASME Transactions, Journal of Manufacturing Science and Engineering, 136(2), pp. 021008, 2014. doi: 10.1115/1.4026210

  • P. Rao, M. Bhushan, S. Bukkapatnam*, Z. Kong, S. Byalal O. Beyca, A. Fields, and R. Komanduri, Process-Machine Interaction (PMI) Modeling and Monitoring of Chemical Mechanical Planarization (CMP) Process Using Wireless Vibration Sensors. IEEE Transactions, Semiconductor Manufacturing, 27(1), pp. 1-15, 2014. doi: 10.1109/TSM.2013.2293095

  • S.T.S Bukkapatnam*, P. Rao, W-C. Lih, N. Chandrashekeran, and R. Komanduri, Process Characterization and Statistical Analysis of oxide CMP on a Silicon Wafer, Applied Physics (A), 88(4) pp. 785-792, 2007. doi: 10.1007/s00339-007-4082-x

  • S. Bukkapatnam*, P.Rao, and R. Komanduri, Experimental Dynamics Characterization and Monitoring of MRR in Oxide Chemical Mechanical Planarization (CMP) Process. International Journal of Machine Tools and Manufacture, 2008, 48(12-13), pp.1375-1386. doi: doi:10.1016/j.ijmachtools.2008.05.006.

  • Wen-Chen Lih, S. Bukkapatnam*, P. Rao, N. Chandrasekharan, R. Komanduri, Adaptive Neuro-Fuzzy Inference System Modeling of MRR and WIWNU in CMP Process with Sparse Experimental Data. IEEE Transactions, Automation Science and Engineering, 5(1), pp. 71 -83, 2008. doi: 10.1109/TASE.2007.911683

  • S. Bukapatnam*, R. Komanduri, H. Yang, P. Rao, W.C. Lih, M. Malshe, L.M. Raff, B. Benjamin, and M. Rockley, Classification of Atrial Fibrillation Episodes from Sparse Electro-Cardiogram Data, Journal of Electrocardiology, 41(4), pp. 292-299, 2008. doi:10.1016/j.jelectrocard.2008.01.004

  • J.M, Govardhan, S. Bukkapatnam*, Y. Bhamare, P. Rao, and V. Rajamani. Statistical analysis and design of RFID systems for monitoring vehicle ingress/egress in warehouse environments, International Journal of Radio Frequency Identification Technology and Applications, 2007, 1(2), pp. 123-146. doi: 10.1504/IJRFITA.2007.013140