Publications

For an updated list of publications, please visit Google Scholar.

Current or former students are marked with *

85) D. Spadaccia*, M. Darji*, K. Deshmukh*, A.R. Carrington, Jr. *, S. Kudale*, A. Riensche*, C. Williams, P. Rao, Thermal Modeling and Feedforward Process Control for Defect Mitigation in Laser Powder Bed Fusion, ASME Transactions, Journal of Manufacturing Science and Engineering. doi.org/10.1115/1.4070940

84) M. Faegh, R.R.Sanvelly, R. Arabpoor, P. Rao, T. Mukherjee, A. Haghighi, Physics-Informed Neural Networks for Thermal Modeling Transferable Across Paths, Print Parameters, and Beam Profiles, Additive Manufacturing, 2025, 105060,doi.org/10.1016/j.addma.2025.105060.

83) N. Piercy, K. D. Cole, S. Suryakumar, P. Rao, Accelerated Graph Theory Thermal Modeling for Big Area Additive Manufacturing with Experimental Validation, 2025, SME Transactions,Journal of Manufacturing Processes, Volume 156, Part B, 26 December 2025, Pages 428-446. doi.org/10.1016/j.jmapro.2025.11.058

82) R. Zhang, M. Maftouni, J. Chung, B. Shen, R. Wang, A.C-C Law, P. Rao, Z.J. Kong. Melt Pool Tracking and Segmentation in Laser Powder Bed Fusion using X-ray Image Sequence, Journal of Intelligent Manufacturing, doi: 10.1007/s10845-025-02720-3

81) A. Ramalho†, A. Assad†, B. Bevans*, F. Deschamps, T.G. Santos, J.P. Oliveira, P.Rao, Understanding and detection of process instabilities in wire arc directed energy deposition additive manufacturing using meltpool imaging and machine learning, Materials & Design, Volume 258, 2025, 114598, doi:/10.1016/j.matdes.2025.114598.Paraná (Brazil), University of Southern Denmark

80) A. Riensche*, K. Deshmukh*, A. Carrington*, M. Darji*, B. Bevans*, J. Sions, K. Snyder, D. Hass, P. Rao, Autonomous Physics-Guided Thermal History Control for Rapid, ShapeAgnostic Part Quality Qualification in Laser Powder Bed Fusion. ASME Transactions, Journal of Manufacturing Science and Engineering, 147(8): 081005 (25 pages), Aug 2025. doi: 10.1115/1.4068695drafts, determining the research scope and direction.

79) B.D. Bevans*, A. R. Riensche*, A. Carrington, Jr*, K. Deshmukh*, M. Darji*, J. Sions, K. Snyder, D. Hass, P. Rao, Online Monitoring of Part Quality in Laser Powder Bed Fusion Additive Manufacturing Process using Acoustic Emission Sensors, ASME Transactions, Journal of Manufacturing Science and Engineering. Vol. 147, Issue 6, March 2025. doi: /10.1115/1.4067848drafts, determining the research scope and direction.

78) A. R. Riensche*, B. D. Bevans*, A. Carrington Jr.*, K. Deshmukh*, K. Shephard*, J. Sions,K. Snyder, Y. Plotnikov, K. Cole, P. Rao, DynamicPrint: A Physics-guided Feedforward Model Predictive Process Control Approach for Defect Mitigation in Laser Powder Bed Fusion Additive Manufacturing, Additive Manufacturing, Volume 97, 5 January 2025, 104592. doi: /10.1016/j.addma.2024.104592drafts, determining the research scope and direction.

77) M. Faegh, S. Ghungrad, J.P. Oliveira, P. Rao, A. Haghighi, A Review on Physics-Informed Machine Learning for Process-Structure-Property Modeling in Additive Manufacturing, SME Journal of Manufacturing Processes, Volume 133, 17 January 2025, Pages 524-555. doi: 10.1016/j.jmapro.2024.11.066

76) B.D. Bevans*, A. Carrington, Jr.*, A. Riensche*, A. Tenequer, C. Barrett, H. Halliday, R. Srinivasan, K. D. Cole, P. Rao, Digital Twins for Rapid In-situ Qualification of Part Quality in Laser Powder Bed Fusion Additive Manufacturing, Additive Manufacturing, Volume 93, 5 August 2024, 104415. doi: 10.1016/j.addma.2024.104415Solutions, and University of Nebraska-Lincoln.determining the research scope and direction.

75) A. Assad*, B.D. Bevans*, W. Potter, P. Rao, D. Cormier, F. Deschamps, J. Hamilton, I.V. Rivero, Process Mapping and Anomaly Detection in Laser Wire Directed Energy Deposition using In-situ Imaging and Process-aware Machine Learning, Materials and Design, Volume 245, September 2024, 113281. doi: 10.1016/j.matdes.2024.113281Southern Denmark, Rochester Institute of Technology, University of Florida, and Iowa Statefunding, writing drafts, determining the research scope and direction.

74) K.D. Deshmukh*, A. R. Riensche*, B. D. Bevans*, R.J. Lane, K. Snyder, H. Halliday, C. B. Williams, R. Mirzaeifar, P. Rao, Effect of processing parameters and thermal history on microstructure evolution and mechanical properties in laser powder bed fusion of SS316L. Materials and Design, Volume 244, August 2024, 113136. doi: 10.1016/j.matdes.2024.113136presentation for this work.

73) N. Liu, X. Li, M. Rajanna, E. Reutzel, B. Sawyer, P. Rao, J. Lua, N. Phan and Y.Yu. Deep Neural Operator Enabled Digital Twin Modeling for Additive Manufacturing, Advances in Computational Science and Engineering, Vol 2. Issue 3, 174-201, August 2024. doi: 10.3934/acse.2024010

72) A.R. Riensche*, B.D. Bevans*, G. King, A. Krishnan, K.D. Cole, P. Rao, Predicting meltpooldepth and primary dendritic arm spacing in laser powder bed fusion additive manufacturing using physics-based machine learning, Materials & Design, 237, p. 112540, January 1, 2024. doi: 10.1016/j.matdes.2023.112540conceptualizing the idea, writing the draft, determining the research scope and direction.

71) N. Piercy, A. Vishnu, J. Kulkarni, S. Simhabatla, K. Cole, P. Rao, Rapid Thermal Modeling of Wire Arc Additive Manufacturing Process using a Mesh-free Spectral Graph Theory Approach, International Journal of Advanced Manufacturing Technology, July 2024. doi: 10.1007/s00170-024-13994-xNebraska-Lincoln.

70) J. Seo, P. Rao, and B. Raeymaekers, Generating synthetic as-built additive manufacturing surface topography using progressive growing generative adversarial networks, Friction (special issue on computational tribology), September 2023. doi: 10.1007/s40544-023-0826-7

69) B. Bevans*, C. Barrett, T. Spears, A. Gaikwad*, A. Riensche*, Z. Smoqi*, H. Halliday, P. Rao, Heterogeneous Sensing and Shape Agnostic Flaw Detection in Laser Powder Bed Fusion Additive Manufacturing, Virtual and Physical Prototyping, Volume 18, Issue 1, April 2023. doi: /10.1080/17452759.2023.2196266writing the draft, determining the research scope and direction.

68) S. Gerdes*, A. Gaikwad*, S. Ramesh, I.V. Rivero, A. Tamayol, P. Rao, Monitoring and Control of Biological Additive Manufacturing Using Machine Learning, Journal of Intelligent Manufacturing, March 2023. doi: /10.1007/s10845-023-02092-6writing and editing, determining the research scope and direction.

67) B. D. Bevans*, A. Ramalho, Z. Smoqi*, A. Gaikwad*, T. G. Santos, P. Rao, J. P. Oliveira,Monitoring and Flaw Detection during Wire-based Directed Energy Deposition using In-situ Acoustic Sensing and Wavelet Graph Signal Analysis, Materials and Design, Volume 225, January 2023, 111480. doi: 10.1016/j.matdes.2022.111480writing and editing, determining the research scope and direction

66) A. Riensche*, P. Carriere, Z. Smoqi*, A. Menendez, P. Frigola, S. Kutsaev, Araujo, N.G. Matavalam, P. Rao, Application of Hybrid Laser Powder Bed Fusion Additive Manufacturing to Microwave Radio Frequency Quarter Wave Cavity Resonators, Journal of Advanced Manufacturing Technology, 124, pp.619–632, January 2023. doi:10.1007/s00170-022-10547-y

65) A. Riensche*, B. Bevans*, Z. Smoqi*, R. Yavari*, A. Krishnan, J. Gilligan, N. Piercy*, K. Cole, P. Rao, Feedforward Control of Thermal History in Laser Powder Bed Fusion Toward Physics-based Optimization of Processing Parameters, Materials and Design, Volume 224, December 2022, 111351. doi: 10.1016/j.matdes.2022.111351writing and editing, determining the research scope and direction

64) Z. Smoqi*, L. D. Sotelo, A. Gaikwad*, J.A. Turner, P. Rao, Nondestructive Ultrasound Evaluation of Additively Manufactured Wear Coatings, NDE&T International, Vol. 133, January 2023, 102754. doi: 10.1016/j.ndteint.2022.102754writing and editing, determining the research scope and direction

63) S. Ramesh, C. Mahajan, S. Gerdes*, A. Gaikwad*, P. Rao, D.R. Cormier, I.V. Rivero, Numerical and Experimental Investigation of Aerosol Jet Printing. Additive Manufacturing, Volume 59, Part A, November 2022, 103090. doi: 10.1016/j.addma.2022.103090authored most of the paper.authors, helping with the modeling, determining the research scope and direction

62) A. Riensche*, J. Severson*, R. Yavari*, N. Piercy*, K. Cole, P. Rao, Thermal Modeling of Directed Energy Deposition Additive Manufacturing using Graph Theory. Rapid Prototyping Journal, Vol. 29 No. 2, pp. 324-343, August 2022. doi: 10.1108/RPJ-07-2021-0184writing and editing, determining the research scope and direction

61) H. Kobir*, B. Bevans*, R. Yavari*, L. Castro*, A. Riensche*, K. Cole, P. Rao,Thermomechanical Modeling in Additive Manufacturing using Graph Theory – Prediction of Recoater Crash, Progress in Additive Manufacturing, Volume 8, pages 355–380, August 2022. Special Issue on Design and Modelling in Additive Manufacturing. doi:10.1007/s40964-022-00331-5 writing and editing, determining the research scope and direction.

60) A. Gaikwad*, R. J. Williams, H. de Winton, B. D. Bevans*, Z. Smoqi*, P. Rao, P. A. Hooper,Multi-Phenomena Data Fusion for Enhanced Process Monitoring in Laser Powder Bed Fusion. Materials and Design, Volume 221, September 2022, 110919. Special Issue: In-line metrology, design optimization and material development in AM. doi: 10.1016/j.matdes.2022.110919writing and editing, determining the research scope and direction

59) A. Gaikwad*, T. Chang, B. Giera, N. Watkins, S. Mukherjee, A. Pascall, D. Stobbe, P. Rao,In-process Monitoring of Droplet-on-Demand Liquid Metal Jetting Additive Manufacturing using Machine Learning, Journal of Intelligent Manufacturing, Vol. 33, pp. 2093-2117, June 2022. doi: 10.1007/s10845-022-01977-2scope and directionPeer-reviewed Papers Published in Archival Journals After Promotion to Associate Professor at University of Nebraska-Lincoln, UNLTimeline: August 2020 to August 2022Papers Published: 16

58) Z. Smoqi*, A. Gaikwad*, B. Bevans*, M.H. Kobir*, J. Craig, A-A. Haj, A. Peralta, P. Rao,Invited Article: Prediction of Porosity in Laser Powder Bed Fusion using Physics-informed Meltpool Signatures and Machine Learning, Journal of Materials Processing Technology, Volume 304, June 2022, pp. 117550. Special Issue Additive Manufacturing – Process Qualification. doi: 10.1016/j.jmatprotec.2022.117550drafts, determining the research scope and direction

57) Z. Smoqi*, B. D. Bevans*, A. Gaikwad*, J. Craig, A. A-A Haj, B. Roeder, B. Macy, J.E. Shield, P. Rao, Closed-loop Control of Meltpool Temperature in Directed Energy Deposition Additive Manufacturing Using a Co-axial Two-wavelength Pyrometer, Materials and Design, Volume 215, March 2022, 110508s. doi: 10.1016/j.matdes.2022.110508drafts, determining the research scope and direction

56) A. Ramalho, T.G. Santos, B.D. Bevans*, Z. Smoqi*, P. Rao, J.P. Oliveira, Effect of contaminations on the acoustic emissions during wire and arc additive manufacturing of 316L stainless steel, Additive Manufacturing, Volume 51, 2022. doi: 1016/j.addma.2021.102585.

55) S. Ramesh, O. Harrysson, P. Rao, A. Tamayol, D. R. Cormier, Y. Zhang, I. V., Rivero Extrusion bioprinting: Recent progress, challenges, and future opportunities, Bioprinting, Volume 21, 2021. doi: 1016/j.bprint.2020.e00116.University of Connecticut

54) S. Gerdes*, S. Ramesh, Azadeh Mostafavi, A. Tamayol, I. V. Rivero, P. Rao, Extrusionbased 3D (Bio)Printed Tissue Engineering Scaffolds: Process–Structure–Quality Relationships, ACS Biomaterials, Science and Engineering, 2021, 7, 10, 4694–4717. doi: 10.1021/acsbiomaterials.1c00598drafts, determining the article scope and direction

53) K. D. Cole, A. Riensche*, P. Rao, Discrete Green's functions and spectral graph theory for computationally efficient thermal modeling, International Journal of Heat and Mass Transfer, Volume 183, Part B, February 2022, 122112. doi: /10.1016/j.ijheatmasstransfer.2021.122112drafts, providing technical feedback on the manuscript.

52) R. Yavari*, A. Riensche*, E. Tekerek, L. Jacquemetton, H. Halliday, M. Vandever, A. Tenequer, V. Perumal, A. Kontsos, Z. Smoqi, K. Cole, P. Rao, Digitally twinned additive manufacturing: Detecting flaws in laser powder bed fusion by combining thermal simulations with in-situ meltpool sensor data. Materials & Design, Volume 211, 2021, 110167. Special Issue: In-line metrology, design optimization and material development in additive manufacturing, pp :109229. doi: 10.1016/j.matdes.2021.110167.https://3dprintingindustry.com/news/realtime-in-situ-meltpool-analysis-and-digital-twinmethod-used-to-prevent-metal-3d-printing-flaws-197802/drafts, determining the research scope and direction

51) R. Yavari*, Z. Smoqi*, A. Riensche*, B. Bevans*, H. Kobir*, H. Mendoza, H. Song, K. Cole, P. Rao, Part-Scale Thermal Simulation of Laser Powder Bed Fusion Using Graph Theory: Effect of Thermal History on Porosity, Microstructure Evolution, and Recoater Crash. Materials & Design, Volume 204, 2021, 109685 Special Issue: In-line metrology, design optimization and material development in additive manufacturing. doi: 10.1016/j.matdes.2021.109685.drafts, determining the research scope and direction

50) R. Yavari, R. Williams, A. Riensche*, P. A. Hooper, K. D. Cole, L. Jacquemetton, H. Halliday, P. Rao, Thermal Modeling in Metal Additive Manufacturing using Graph Theory – Application to Laser Powder Bed Fusion of a Large Volume Impeller, Additive Manufacturing, Volume 41, 2021. doi:10.1016/j.addma.2021.101956drafts, determining the research scope and direction

49) R. Salary*, J. Lombardi, D. Weerawarne, P. Rao, and M. Poliks, A Computational Fluid Dynamics (CFD) Investigation of Pneumatic Atomization, Aerosol Transport and Deposition in Aerosol Jet Printing (AJP) Process, Journal of Micro- and Nanomanufacturing, Volume 9, Issue 1: 010903 (16 pages). doi: 10.1115/1.4049958

48) R. Chen, P. Rao, Y. Liu, E. Reutzel, H. Yang. Recurrence Network Analysis of Designquality Interactions in Additive Manufacturing, Additive Manufacturing, January 2021. doi: 10.1016/j.addma.2021.101861

47) Z. Smoqi*, J. Toddy, H. Halliday, J. E. Shield, and P. Rao. Process-Structure Relationship in the Directed Energy Deposition of Cobalt-Chromium Alloy (Stellite 21) Coatings. Materials and Design, Volume 197, January 2021. Special Issue: In-line metrology, design optimization and material development in additive manufacturing. doi: 10.1016/j.matdes.2020.109229drafts, determining the research scope and direction

46) H. Yang, P. Rao, T. Simpson, Y. Lu, P. Witherell, A. R. Nassar, E. Reutzel, S. Kumara, Sixsigma Quality Management of Additive Manufacturing. Proceedings of the IEEE, Volume: 109, Issue: 4, April 2021. doi: 10.1109/JPROC.2020.3034519

45) 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). doi:/10.1007/s00170-020-06165-1feedback.

44) 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, December 2020, Volume 36, pp. 101659 doi:10.1016/j.addma.2020.101659drafts, determining the research scope and direction

43) 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.drafts, determining the research scope and directionPeer-reviewed Papers Published in Archival Journals Papers Published Before Promotion to Associate Professor at University of Nebraska-Lincoln, UNLNumber of Papers: 42Timeline: Until August 2020

42) 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.2020.00417drafts, determining the research scope and direction

41) 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:10.1115/1.4047045drafts, determining the research scope and direction

40) 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.2020.106383feedback.

39) S. Gerdes*, A. Mostafavi, S. Ramesh, A. Memic, I. V. Rivero, P. Rao, and A. Tamayol. Process-Structure-Quality Relationships of 3D Printed PCL-Hydroxyapatite Scaffolds, Tissue Engineering (Part A). Volume: 26 Issue 5-6: March 17, 2020. doi:10.1089/ten.TEA.2019.0237drafts, determining the research scope and direction

38) A.C. Gaikwad*, R. Yavari*, M. Montazeri*, K. Cole, L. Bian, and P. Rao. Toward the Digital Twin in Metal Additive Manufacturing – Integrating Thermal Simulations, Sensing, and Analytics to Detect Process Faults. IISE Transactions, Volume 52, Issue 11, pp. 1204-1217. doi: 10.1080/24725854.2019.1701753drafts, determining the research scope and direction

37) A.C. Gaikwad*, F. Imani, H. Yang, E. Reutzel, and, P. Rao, Prediction of Thin Wall Build Quality in Laser Powder Bed Fusion using Deep Learning of In-Situ Images, ASTM Journal of Smart and Sustainable Manufacturing Systems. 3 (1), pp. 98-121, 2019. doi:10.1520/SSMS20190027drafts, determining the research scope and direction

36) 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: 10.1016/j.addma.2019.100916drafts, determining the research scope and direction

35) M. Amini, S.I. Chang, and 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

34) M. Roy, R. Yavari*, C. Zhou, O. Wodo, and P. Rao. Prediction and Experimental Validation of Part Thermal History in Fused Filament Fabrication Additive Manufacturing Process.ASME Transactions, Journal of Manufacturing Science and Engineering 141(12), pp. 121001-10, 2019. doi:10.1115/1.4045056providing experimental data for analysis.

33) M. Montazeri*, A. Nassar, A. Dunbar, and P. Rao. In-Process Monitoring of Porosity in Additive Manufacturing Using Optical Emission Spectroscopy Signals. IISE Transactions (Manufacturing and Design), Volume 52(5), 2019. doi: 10.1080/24725854.2019.1659525drafts, determining the research scope and direction

32) R. Yavari*, K. Cole, and P. Rao. Thermal Modeling in Metal Additive Manufacturing using Graph Theory. ASME Transactions, Journal of Manufacturing Science and Engineering 2019, Vol. 141, pp. 0710071-20. doi: 10.1115/1.4043648drafts, determining the research scope and direction

31) J. Lombardi, R. Salary*, D. Weerawarne, P. Rao, M. Poliks. Image-Based Closed-Loop Control of Aerosol Jet Printing Using Classical Control Methods ASME Transactions, Journal of Manufacturing Science and Engineering 141(7), 071011-20, 2019. doi: 10.1115/1.4043659. 

30) L.J. Rhodes, M. Rios, J. Williams*, G. Quiñones, P. Rao, V. Miskovic. The Role of LowLevel Image Features in The Affective Categorization of Rapidly Presented Scenes. PLoS ONE 14(5): e0215975, 2019. doi: 10.1371/journal.pone.0215975. 

29) F. Imani, B. Yao, R. Chen, P. Rao, H. Yang. Joint Multifractal and Lacunarity Analysis of Image Profiles for Manufacturing Quality Control (Technical Brief) ASME Transactions, Journal of Manufacturing Science and Engineering, 141(4), 044501-08, 2018. doi: 10.1115/1.4042579.

28) J. Williams, P. Dryburgh, A. Clare, P. Rao, and A. Samal. Defect Detection and Monitoring in Metal Additive Manufactured Parts through Deep Learning of Spatially Resolved Acoustic Spectroscopy Signals. ASTM Journal of Smart and Sustainable Manufacturing Vol. 2(1), 204-226, 2018. doi: 10.1520/SSMS20180035drafts, determining the research scope and direction

27) J. Liu, C. Liu, Y. Bai, Z. Kong, P. Rao, and C. Williams. Layer-wise Spatial Modeling of Porosity in Additive Manufacturing. IISE Transactions, Volume 51, 2019 - Issue 2: Additive Manufacturing Special Issue. doi: 10.1080/24725854.2018.1478169Magazine. 

26) F. Imani, A. Gaikwad*, M. Montazeri*, P. Rao, H. Yang, E. Reutzel. Process Mapping and In-Process Monitoring of Porosity in Laser Powder Bed Fusion Using Layerwise Optical Imaging, ASME Transactions, Journal of Manufacturing Science and Engineering, 140(10), 101009-23, 2018. doi: 10.1115/1.4040615drafts, assisting in research direction and technical suggestions.

25) X. Wang, M. Sealy, R. Williams, P. Rao, Y. Guo, Stochastic Modeling and Analysis of Spindle Energy Consumption During Hard Milling. ASME Transactions, Journal of Manufacturing Science and Engineering, 140(6), 060801-14, 2018. doi: 10.1115/1.4040728

24) M. Montazeri* and P. Rao, Heterogeneous Sensor-based Build Condition Monitoring in Laser Powder Bed Fusion Additive Manufacturing Process using a Spectral Graph Theoretic Approach. ASME Transactions, Journal of Manufacturing Science and Engineering, 140(9), 091002-18, 2018. doi: 10.1115/1.4040264drafts, setting research direction and scope.

23) M. Montazeri*, R. Yavari*, P. Rao, P. Boulware. In-process Monitoring of Material CrossContamination Defects in Laser Powder Bed Fusion. ASME Transactions, Journal of Manufacturing Science and Engineering, 140(11), 111001-20, 2018. doi: 10.1115/1.4040543editing drafts, setting research direction and scope.

22) M. Sealy, G. Madireddy, R. Williams, P. Rao, M. Toursangsaraki. Review Article - Hybrid Processes in Additive Manufacturing. ASME Transactions, Journal of Manufacturing Science and Engineering, Vol. 140(6), pp. 060801-14, 2018. doi: 10.1115/1.4038644.

21) H. Sun, P. Rao, Z. Kong, X. Deng and R. Jin. Functional Quantitative and Qualitative Models for Quality Modeling in a Fused Deposition Modeling Process. IEEE Transactions, Automation Science and Engineering, Vol. 15(1), pp. 393-403, 2018. doi: 10.1109/TASE.2017.2763609.

20) 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 Vol.15(1), pp.127-144, 2018. doi: 10.1109/TASE.2016.2598094setting research direction and scope

19) M. Khanzadeh, P. Rao, R. Jafari-Marandi, B. K. Smith, M. Tschopp, L. Bian. Quantifying geometric accuracy with unsupervised machine learning: Using self-organizing map on fused filament fabrication additive manufacturing parts. ASME Transactions, Journal of Manufacturing Science and Engineering, Vol 140(3), pp. 031011-031023, 2017. doi: 10.1115/1.4038598

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

17) 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, Vol. 139(10), pp. 101010 – 101023, 2017. doi: 10.1115/1.4036660setting research direction and scope

16) M.S. Tootooni*, A. D’souza*, 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: 10.1115/1.4036641setting research direction and scope

15) 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 Processes Vol. 41, pp. 266-276, October 2016. doi: 10.1016/j.jmsy.2016.09.007. setting research direction and scope

14) R. Salary*, J. Lombardi, M.S. Tootooni*, R. Donovan*, P. Rao, M. Poliks, P. Borgesen. Computational Fluid Dynamics Modeling and Online Monitoring of Aerosol Jet Printing. ASME Transactions, Journal of Manufacturing Science and Engineering, 139(2), pp. 021015-021036, October 2016. doi:10.1115/1.4034591direction and scope

13) J. Liu, O. 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. IEEE Transactions, Automation Science and Engineering, Vol. 14(1), pp. 208-221, 2017. doi: 10.1109/TASE.2016.2599436.

12) 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

11) 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

10) 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.undergraduate students, help with figures and writing. 

9) 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. IISE Transactions, Quality and Reliability Engineering, 48(7), pp. 579-598, 2016. doi: 10.1080/0740817X.2015.1122254and Systems Engineer (ISE) Magazine. 

8) P. Rao, S. Bukkapatnam, O. Beyca, Z. Kong, K. Case, and R. Komanduri. A GraphTheoretic Approach for Quantification of Surface Morphology and Its Application to Chemical Mechanical Planarization (CMP) Process. IISE Transactions, Quality and Reliability Engineering, 47(10), pp. 1-24, 2015. doi: 10.1080/0740817X.2014.1001927Article highlighted in the September 2015, (Volume 47, Number 6) issue of the Industrial Engineer Magazine).conceptualization of the graph theory idea

6) 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: 10.1115/1.4026210analysis, idea generation, coding. 

6) P. Rao, M. Bhushan, S. Bukkapatnam, Z. Kong, S. Byalal O. Beyca, A. Fields, 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.2013.2293095analysis, idea generation, coding. 

5) 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

4) 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, 48(12-13), pp.1375-1386, 2008. doi: 10.1016/j.ijmachtools.2008.05.006.

3) 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

2) 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 ElectroCardiogram Data. Journal of Electrocardiology, 41(4), pp. 292-299, 2008. doi: 10.1016/j.jelectrocard.2008.01.004

1) 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, 1(2), pp. 123-146, 2007. doi: 10.1504/IJRFITA.2007.013140