HR job title
- Professor
- Contact Info
- 1 979 458 2348
- ORCiD
- 0000-0003-3312-8222
Bukkapatnam, Satish Professor
Positions
- Professor, Industrial and Systems Engineering, College of Engineering
- Faculty Affiliate, Energy Institute, Texas A&M Engineering Experiment Station (TEES)
Dr. Bukkapatnam's research addresses the harnessing of high-resolution nonlinear dynamic information, particularly from wireless MEMS sensors, to improve the monitoring and prognostics of real-world systems, including ultraprecision and nanomanufacturing processes and machines, and cardiorespiratory processes. His research has led to 185 peer-reviewed publications (115 published/ accepted in journals and 70 in conference proceedings), 1 granted and five pending patents, and has been the basis for 17 Ph.D. dissertations. His research has received support from federal agencies including National Science Foundation, Department of Energy, and Department of Defense, and the private sector including General Motors, Ford, National Instruments, and the Central Rural Electric Cooperative.
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Overview
Publications
selected publications
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academic article
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Argyros, A., Lianos, A. K., Lagoudas, D., Michailidis, N., & Bukkapatnam, S.
(2024).
Pre-programing the glass transition temperature and transformation strain of shape memory polymers in fused deposition modeling process. CIRP annals.
-
Zhong, Y., Karthikeyan, A., Pagilla, P., Mehta, R. K., & Bukkapatnam, S.
(2024).
Human-centric integrated safety and quality assurance in collaborative robotic manufacturing systems. CIRP annals.
-
Zhong, Y., Jatav, A., Afrin, K., Shivaram, T., & Bukkapatnam, S.
(2023).
Enhanced SpO2 estimation using explainable machine learning and neck photoplethysmography. Artificial Intelligence in Medicine.
145, 102685-102685.
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Zhong, Y., Tiwari, A., Yamaguchi, H., Lakhtakia, A., & Bukkapatnam, S.
(2023).
Identifying the influence of surface texture waveforms on colors of polished surfaces using an explainable AI approach. IISE TRANSACTIONS.
55(7), 731-745.
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Jin, S., Bukkapatnam, S., Michael Hayes, S., & Ding, Y. u.
(2023).
Vibration Signal-Assisted Endpoint Detection for Long-Stretch, Ultraprecision Polishing Processes. Journal of Manufacturing Science and Engineering.
145(6),
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Balhara, H., Botcha, B., Wolff, S. J., & Bukkapatnam, S.
(2023).
Ripple formations determine the heterogeneous microstructure of directed energy deposition (DED)-printed 316L components. 227, 111756-111756.
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Bukkapatnam, S.
(2023).
Autonomous materials discovery and manufacturing (AMDM): A review and perspectives. IISE TRANSACTIONS.
55(1), 75-93.
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Hanchate, A., Dave, P. S., Verma, A., Tiwari, A., Mishra, C. S., Kumara, S., ... Bukkapatnam, S.
(2023).
A Graphical Representation of Sensor Mapping for Machine Tool Fault Monitoring and Prognostics for Smart Manufacturing. Smart and Sustainable Manufacturing Systems.
7(1), 20220031-20220031.
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Zhong, Y., Wen, Y., Hopko, S., Karthikeyan, A., Pagilla, P., Mehta, R. K., & Bukkapatnam, S.
(2023).
Detecting Anomalous Robot Motion in Collaborative Robotic Manufacturing Systems. IEEE Internet of Things Journal.
PP(99), 1-1.
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Jin, S., Tuo, R., Tiwari, A., Bukkapatnam, S., Aracne-Ruddle, C., Lighty, A., Hamza, H., & Ding, Y. u.
(2022).
Hypothesis tests with functional data for surface quality change detection in surface finishing processes. IISE TRANSACTIONS.
55(9), 1-17.
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Nakkina, T. G., Vinayaka, M., Masad, A., El Mansori, M., & Bukkapatnam, S.
(2022).
Smart defect identification for manufacturing applications. Surface Topography: Metrology and Properties.
10(3), 035045-035045.
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Le, C., Jeong, H. D., Damnjanovic, I., & Bukkapatnam, S.
(2022).
Pareto Principle in Scoping-Phase Cost Estimating: A Multiobjective Optimization Approach for Selecting and Applying Optimal Major Work Items. Journal of construction engineering and management.
148(8), 04022076.
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Afrin, K., Dusi, R., Zhong, Y., Reddy, D. S., & Bukkapatnam, S.
(2022).
Prognosis of Epileptic Seizure Event Onsets Using Random Survival Forests. IIE Transactions on Healthcare Systems Engineering.
12(3), 221-231.
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Iquebal, A. S., & Bukkapatnam, S.
(2022).
Consistent Estimation of the Max-Flow Problem: Towards Unsupervised Image Segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence.
44(5), 2346-2357.
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Karthikeyan, A., Tiwari, A., Zhong, Y., & Bukkapatnam, S.
(2022).
Explainable AI-infused ultrasonic inspection for internal defect detection. CIRP annals.
71(1), 449-452.
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Wang, K., Dave, P., Hanchate, A., Sagapuram, D., Natarajan, G., & Bukkapatnam, S.
(2022).
Implementing an open-source sensor data ingestion, fusion, and analysis capabilities for smart manufacturing. Manufacturing Letters.
33, 893-901.
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Iquebal, A. S., Yadav, A., Botcha, B., Gorthi, R. K., & Bukkapatnam, S.
(2022).
Tracking and quantifying spatter characteristics in a laser directed energy deposition process using Kalman filter. Manufacturing Letters.
33, 692-700.
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Wang, Z., Wang, Z., Ko, W., Iquebal, A. S., Nguyen, V. u., Kazerooni, N. A., ... Bukkapatnam, S.
(2022).
An autonomous laser kirigami method with low-cost real-time vision-based surface deformation feedback system. The International Journal of Advanced Manufacturing Technology.
118(5-6), 1873-1883.
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Wang, Z., Guo, R., Ma, Q., Chegdani, F., Tai, B., El Mansori, M., & Bukkapatnam, S.
(2022).
Characterization of the physical origins of acoustic emission (AE) from natural fiber reinforced polymers (NFRPs) machining processes. The International Journal of Advanced Manufacturing Technology.
118(3-4), 865-879.
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Balasubramaniam, R., Bukkapatnam, S. T., Subbiah, S., & Rao, P.
(2021).
Guest Editorial. Journal of Micromanufacturing.
4(1), 5-5.
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Mahesh, P., Tiwari, A., Jin, C., Kumar, P. R., Reddy, A., Bukkapatanam, S., Gupta, N., & Karri, R.
(2021).
A Survey of Cybersecurity of Digital Manufacturing. 109(4), 495-516.
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Tiwari, A., Xu, F., Lakhtakia, A., Yamaguchi, H., & Bukkapatnam, S.
(2021).
On colors of stainless-steel surfaces polished with magnetic abrasives. Applied Optics.
60(9), 2549-2549.
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Botcha, B., Iquebal, A. S., & Bukkapatnam, S.
(2021).
Efficient manufacturing processes and performance qualification via active learning: Application to a cylindrical plunge grinding platform. Procedia Manufacturing.
53, 716-725.
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Liu, M., Kumar, A., Bukkapatnam, S., & Kuttolamadom, M.
(2021).
A Review of the Anomalies in Directed Energy Deposition (DED) Processes & Potential Solutions - Part Quality & Defects. Procedia Manufacturing.
53, 507-518.
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Iquebal, A. S., Bukkapatnam, S., & Srinivasa, A.
(2020).
Change Detection in Complex Dynamical Systems Using Intrinsic Phase and Amplitude Synchronization. IEEE Transactions on Signal Processing.
68, 4743-4756.
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Piao, D., O'Hara, J., Bukkapatnam, S., & Ekin, S.
(2020).
Towards Non-Contact Glucose Sensing in Aqueous Turbid Medium at 1.1 Meters Distance. IEEE PHOTONICS JOURNAL.
12(4), 1-23.
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Wang, Z., Dixit, P., Chegdani, F., Takabi, B., Tai, B. L., El Mansori, M., & Bukkapatnam, S.
(2020).
Bidirectional Gated Recurrent Deep Learning Neural Networks for Smart Acoustic Emission Sensing of Natural Fiber-Reinforced Polymer Composite Machining Process. Smart and Sustainable Manufacturing Systems.
4(2), 179-198.
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Nakkina, T. G., Iquebal, A. S., Gorthi, R., & Bukkapatnam, S.
(2020).
Identification of Microstructures in 3-DPrinted Ti-6Al-4V Using Acoustic Emission Cepstrum. Smart and Sustainable Manufacturing Systems.
4(2), 20190044-20190044.
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Le, T. Q., Chandra, V., Afrin, K., Srivatsa, S., & Bukkapatnam, S.
(2020).
A Dynamic Systems Approach for Detecting and Localizing of Infarct-Related Artery in Acute Myocardial Infarction Using Compressed Paper-Based Electrocardiogram (ECG). Sensors.
20(14), 3975-3975.
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Thomas, N., Srinivasa, A. R., & Bukkapatnam, S.
(2020).
A mixed experimental-CFD-data science approach for rheological measurement of polishing fluids. Mechanics of Advanced Materials and Structures.
27(13), 1167-1177.
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Zhong, Y., Wang, Z., Yalamanchili, A. V., Yadav, A., Srivatsa, B., Saripalli, S., & Bukkapatnam, S.
(2020).
Image-based flight control of unmanned aerial vehicles (UAVs) for material handling in custom manufacturing. Journal of Manufacturing Systems.
56, 615-621.
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Chegdani, F., Takabi, B., El Mansori, M., Tai, B. L., & Bukkapatnam, S.
(2020).
Effect of flax fiber orientation on machining behavior and surface finish of natural fiber reinforced polymer composites. Journal of Manufacturing Processes.
54, 337-346.
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Wang, Z., Chegdani, F., Yalamarti, N., Takabi, B., Tai, B., El Mansori, M., & Bukkapatnam, S.
(2020).
Acoustic Emission Characterization of Natural Fiber Reinforced Plastic Composite Machining Using a Random Forest Machine Learning Model. Journal of Manufacturing Science and Engineering.
142(3), 1-40.
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Tiwari, A., Reddy, A., & Bukkapatnam, S.
(2020).
Cybersecurity Assurance in the Emerging Manufacturing-as-a-Service (MaaS) Paradigm: A Lesson from the Video Streaming Industry. Smart and Sustainable Manufacturing Systems.
4(3), 324-329.
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Shukla, P., Dash, B., Kiran, D. V., & Bukkapatnam, S.
(2020).
Arc Behavior in Wire Arc Additive Manufacturing Process. Procedia Manufacturing.
48, 725-729.
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Iquebal, A. S., Pandagare, S., & Bukkapatnam, S.
(2020).
Learning acoustic emission signatures from a nanoindentation-based lithography process: Towards rapid microstructure characterization. Tribology International.
143, 106074-106074.
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Botcha, B., Iquebal, A. S., & Bukkapatnam, S.
(2020).
Smart manufacturing multiplex. Manufacturing Letters.
25, 102-106.
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Chegdani, F., El Mansori, M., Bukkapatnam, S., & El Amri, I.
(2020).
Thermal effect on the tribo-mechanical behavior of natural fiber composites at micro-scale. Tribology International.
149, 105831-105831.
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Iquebal, A. S., Botcha, B., & Bukkapatnam, S.
(2020).
Towards rapid, in situ characterization for materials-on-demand manufacturing. Manufacturing Letters.
23, 29-33.
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Jin, S., Iquebal, A., Bukkapatnam, S., Gaynor, A., & Ding, Y. u.
(2020).
A Gaussian Process Model-Guided Surface Polishing Process in Additive Manufacturing. Journal of Manufacturing Science and Engineering.
142(1),
-
Gupta, N., Tiwari, A., Bukkapatnam, S., & Karri, R.
(2020).
Additive Manufacturing Cyber-Physical System: Supply Chain Cybersecurity and Risks. IEEE Access.
8, 47322-47333.
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Chegdani, F., El Mansori, M., Bukkapatnam, S., & Reddy, J. N.
(2019).
Micromechanical modeling of the machining behavior of natural fiber-reinforced polymer composites. The International Journal of Advanced Manufacturing Technology.
105(1-4), 1549-1561.
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McAtee, P. D., Bukkapatnam, S., & Lakhtakia, A.
(2019).
Artificial neural network to estimate the refractive index of a liquid infiltrating a chiral sculptured thin film. Journal of Nanophotonics.
13(4), 046006-046006.
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Xu, J., Tran, H. M., Gautam, N., & Bukkapatnam, S.
(2019).
Joint production and maintenance operations in smart custom-manufacturing systems. IISE TRANSACTIONS.
51(4), 406-421.
-
Tran, H. M., Bukkapatnam, S., & Garg, M.
(2019).
Detecting changes in transient complex systems via dynamic network inference. IISE TRANSACTIONS.
51(3), 337-353.
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Bukkapatnam, S., Afrin, K., Dave, D., & Kumara, S.
(2019).
Machine learning and AI for long-term fault prognosis in complex manufacturing systems. CIRP annals.
68(1), 459-462.
-
Iquebal, A. S., Sagapuram, D., & Bukkapatnam, S.
(2019).
Surface plastic flow in polishing of rough surfaces. Scientific Reports.
9(1), 10617.
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Yang, H., Kumara, S., Bukkapatnam, S., & Tsung, F.
(2019).
The internet of things for smart manufacturing: A review. IISE TRANSACTIONS.
51(11), 1190-1216.
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El-Amri, I., Iquebal, A. S., Srinivasa, A., & Bukkapatnam, S.
(2018).
Localized magnetic fluid finishing of freeform surfaces using electropermanent magnets and magnetic concentration. Journal of Manufacturing Processes.
34, 802-808.
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Wang, Z., & Bukkapatnam, S.
(2018).
A Dirichlet Process Gaussian State Machine Model for Change Detection in Transient Processes. Technometrics.
60(3), 373-385.
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Chegdani, F., Wang, Z., El Mansori, M., & Bukkapatnam, S.
(2018).
Multiscale tribo-mechanical analysis of natural fiber composites for manufacturing applications. Tribology International.
122, 143-150.
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Bukkapatnam, S., Iquebal, A. S., & Kumara, S.
(2018).
Planar random graph representations of spatiotemporal surface morphology: Application to finishing of 3-D printed components. CIRP annals.
67(1), 495-498.
-
Le, T. Q., & Bukkapatnam, S.
(2017).
Correction: Nonlinear Dynamics Forecasting of Obstructive Sleep Apnea Onsets. PLoS ONE.
12(8), e0183422-e0183422.
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Liu, J. P., Beyca, O. F., Rao, P. K., Kong, Z. J., & Bukkapatnam, S.
(2017).
Dirichlet Process Gaussian Mixture Models for Real-Time Monitoring and Their Application to Chemical Mechanical Planarization. IEEE Transactions on Automation Science and Engineering.
14(1), 208-221.
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Iquebal, A. S., El Amri, S., Shrestha, S., Wang, Z., Manogharan, G. P., & Bukkapatnam, S.
(2017).
Longitudinal Milling and Fine Abrasive Finishing Operations to Improve Surface Integrity of Metal AM Components. Procedia Manufacturing.
10, 990-996.
-
Le, T. Q., & Bukkapatnam, S.
(2016).
Nonlinear Dynamics Forecasting of Obstructive Sleep Apnea Onsets. PLoS ONE.
11(11), e0164406-e0164406.
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Wang, Z., Kovvuri, V., Araujo, A., Bacci, M., Hung, W., & Bukkapatnam, S.
(2016).
Built-up-edge effects on surface deterioration in micromilling processes. Journal of Manufacturing Processes.
24, 321-327.
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Arumugam, J., Bukkapatnam, S., Narayanan, K. R., & Srinivasa, A. R.
(2016).
Random Forests Are Able to Identify Differences in Clotting Dynamics from Kinetic Models of Thrombin Generation. PLoS ONE.
11(5), e0153776-e0153776.
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Beyca, O. F., Rao, P. K., Kong, Z., Bukkapatnam, S., & Komanduri, R.
(2016).
Heterogeneous Sensor Data Fusion Approach for Real-time Monitoring in Ultraprecision Machining (UPM) Process Using Non-Parametric Bayesian Clustering and Evidence Theory. IEEE Transactions on Automation Science and Engineering.
13(2), 1033-1044.
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Cheng, C., Bukkapatnam, S., Raff, L., & Komanduri, R.
(2016).
Fast Monte Carlo Simulation-based Process Design and Planning for Carbon Nanotube Synthesis. Procedia Manufacturing.
5, 1357-1368.
-
Tran, H. M., & Bukkapatnam, S.
(2016).
Inferring sparse networks for noisy transient processes. Scientific Reports.
6(1), 21963.
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Tootooni, M. S., Liu, C., Roberson, D., Donovan, R., Rao, P. K., Kong, Z. J., & Bukkapatnam, S.
(2016).
Online non-contact surface finish measurement in machining using graph theory-based image analysis. Journal of Manufacturing Systems.
41, 266-276.
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Rao, P. K., Beyca, O. F., Kong, Z. J., Bukkapatnam, S., Case, K. E., & Komanduri, R.
(2015).
A graph-theoretic approach for quantification of surface morphology variation and its application to chemical mechanical planarization process. IIE Transactions.
47(10), 1088-1111.
-
Cheng, C., Sa-Ngasoongsong, A., Beyca, O., Trung, L. e., Yang, H., Kong, Z. J., & Bukkapatnam, S.
(2015).
Time series forecasting for nonlinear and non-stationary processes: a review and comparative study. IIE Transactions.
47(10), 1053-1071.
-
Tran, H. M., & Bukkapatnam, S.
(2015).
Modeling and analysis of the coupled dynamics of machine degradation and repair processes using piecewise affine stochastic differential equations. International Journal of Non-Linear Mechanics.
76, 87-99.
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Rao, P., Bukkapatnam, S., Beyca, O., Kong, Z. J., & Komanduri, R.
(2014).
Real-Time Identification of Incipient Surface Morphology Variations in Ultraprecision Machining Process. Journal of Manufacturing Science and Engineering.
136(2), 021008.
-
Rao, P. K., Bhushan, M. B., Bukkapatnam, S., Kong, Z., Byalal, S., Beyca, O. F., Fields, A., & Komanduri, R.
(2014).
Process-Machine Interaction (PMI) Modeling and Monitoring of Chemical Mechanical Planarization (CMP) Process Using Wireless Vibration Sensors. IEEE Transactions on Semiconductor Manufacturing.
27(1), 1-15.
-
Wang, Z., Bukkapatnam, S., Kumara, S., Kong, Z., & Katz, Z.
(2014).
Change detection in precision manufacturing processes under transient conditions. CIRP annals.
63(1), 449-452.
-
Nof, S. Y., Cheng, G. J., Weiner, A. M., Chen, X. W., Bechar, A., Jones, M. G., ... Zhang, X.
(2013).
Laser and Photonic Systems Integration: Emerging Innovations and Framework for Research and Education. Human Factors and Ergonomics in Manufacturing.
23(6), 483-516.
-
Le, T. Q., Bukkapatnam, S., Benjamin, B. A., Wilkins, B. A., & Komanduri, R.
(2013).
Topology and random-walk network representation of cardiac dynamics for localization of myocardial infarction. IEEE Transactions on Biomedical Engineering.
60(8), 2325-2331.
-
Le, T. Q., Bukkapatnam, S., & Komanduri, R.
(2013).
Real-time lumped parameter modeling of cardiovascular dynamics using electrocardiogram signals: toward virtual cardiovascular instruments. 60(8), 2350-2360.
-
Karandikar, K., Le, T. Q., Sa-ngasoongsong, A., Wongdhamma, W., & Bukkapatnam, S.
(2013).
Detection of sleep apnea events via tracking nonlinear dynamic cardio-respiratory coupling from electrocardiogram signals. Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference.
2013, 7088-7091.
-
Yang, H., Bukkapatnam, S., & Barajas, L. G.
(2013).
Continuous flow modelling of multistage assembly line system dynamics. 26(5), 401-411.
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Le, T. Q., Cheng, C., Sangasoongsong, A., Wongdhamma, W., & Bukkapatnam, S.
(2013).
Wireless Wearable Multisensory Suite and Real-Time Prediction of Obstructive Sleep Apnea Episodes. IEEE Journal of Translational Engineering in Health and Medicine.
1, 2700109-9.
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Bukkapatnam, S., Kamarthi, S., Huang, Q., Zeid, A., & Komanduri, R.
(2012).
Nanomanufacturing systems: opportunities for industrial engineers. IIE Transactions.
44(7), 492-495.
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Yang, H., Bukkapatnam, S. T., & Komanduri, R.
(2012).
Spatiotemporal representation of cardiac vectorcardiogram (VCG) signals. BioMedical Engineering OnLine.
11(1), 16-16.
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Sa-Ngasoongsong, A., Kunthong, J., Sarangan, V., Cai, X., & Bukkapatnam, S.
(2012).
A low-cost, portable, high-throughput wireless sensor system for phonocardiography applications. Sensors.
12(8), 10851-10870.
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Yang, H., Bukkapatnam, S., Le, T., & Komanduri, R.
(2012).
Identification of myocardial infarction (MI) using spatio-temporal heart dynamics. Medical Engineering and Physics.
34(4), 485-497.
-
Cheng, C., Bukkapatnam, S., Raff, L. M., Hagan, M., & Komanduri, R.
(2012).
Monte Carlo simulation of carbon nanotube nucleation and growth using nonlinear dynamic predictions. CHEMICAL PHYSICS LETTERS.
530, 81-85.
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Cheng, C., Bukkapatnam, S., Raff, L. M., & Komanduri, R.
(2012).
Towards control of carbon nanotube synthesis process using prediction-based fast Monte Carlo simulations. Journal of Manufacturing Systems.
31(4), 438-443.
-
Grout, T., Hong, Y., Basara, J., Balasundaram, B., Kong, Z., & Bukkapatnam, S.
(2012).
Significant Winter Weather Events and Associated Socioeconomic Impacts (Federal Aid Expenditures) across Oklahoma: 200010. Weather, Climate and Society.
4(1), 48-58.
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Kong, Z., Beyca, O., Bukkapatnam, S. T., & Komanduri, R.
(2011).
Nonlinear Sequential Bayesian Analysis-Based Decision Making for End-Point Detection of Chemical Mechanical Planarization (CMP) Processes. IEEE Transactions on Semiconductor Manufacturing.
24(4), 523-532.
-
Pukrittayakamee, A., Hagan, M., Raff, L., Bukkapatnam, S., & Komanduri, R.
(2011).
Practical training framework for fitting a function and its derivatives. IEEE Transactions on Neural Networks and Learning Systems.
22(6), 936-947.
-
Sewani, R. R., Bukkapatnam, S., Komanduri, R., Wilkins, B., & Benjamin, B. A.
(2011).
Vector magnitude derived QT variability following myocardial ischemia. The FASEB Journal.
25(S1), 1130.3-1130.3.
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Yang, H., Bukkapatnam, S., & Barajas, L. G.
(2011).
Local recurrence based performance prediction and prognostics in the nonlinear and nonstationary systems. Pattern Recognition.
44(8), 1834-1840.
-
Wilkins, B., Bukkapatnam, S., Komanduri, R., & Benjamin, B. A.
(2011).
Recurrence Time Ratio Slope (RTRS) to estimate nonstationarity in dynamic nonlinear heart rate variability signals. The FASEB Journal.
25(S1), 1130.4-1130.4.
-
Bukkapatnam, S., & Cheng, C.
(2010).
Forecasting the evolution of nonlinear and nonstationary systems using recurrence-based local Gaussian process models. Physical Review E: Statistical, Nonlinear, and Soft Matter Physics.
82(5 Pt 2), 056206.
-
Oztekin, A., Mahdavi, F., Erande, K., Kong, Z. J., Swim, L. K., & Bukkapatnam, S.
(2010).
Criticality index analysis based optimal RFID reader placement models for asset tracking (vol 48, pg 2679, 2010). International Journal of Production Research.
48(18), 5533-5533.
-
Agrawal, P. M., Raff, L. M., Bukkapatnam, S., & Komanduri, R.
(2010).
Molecular dynamics investigations on polishing of a silicon wafer with a diamond abrasive. Applied Physics A: Materials Science and Processing.
100(1), 89-104.
-
Oztekin, A., Mahdavi, F., Erande, K., Kong, Z. J., Swim, L. K., & Bukkapatnam, S.
(2010).
Criticality index analysis based optimal RFID reader placement models for asset tracking. International Journal of Production Research.
48(9), 2679-2698.
-
Malshe, M., Raff, L. M., Hagan, M., Bukkapatnam, S., & Komanduri, R.
(2010).
Input vector optimization of feed-forward neural networks for fitting ab initio potential-energy databases. Journal of Chemical Physics.
132(20), 204103-204103.
-
Agrawal, P. M., Narulkar, R., Bukkapatnam, S., Raff, L. M., & Komanduri, R.
(2010).
A phenomenological model of polishing of silicon with diamond abrasive. Tribology International.
43(1-2), 100-107.
-
Dawson, D., Yang, H., Malshe, M., Bukkapatnam, S., Benjamin, B., & Komanduri, R.
(2009).
Linear affine transformations between 3-lead (Frank XYZ leads) vectorcardiogram and 12-lead electrocardiogram signals. 42(6), 622-630.
-
Malshe, M., Pukrittayakamee, A., Raff, L. M., Hagan, M., Bukkapatnam, S., & Komanduri, R.
(2009).
Accurate prediction of higher-level electronic structure energies for large databases using neural networks, Hartree-Fock energies, and small subsets of the database. Journal of Chemical Physics.
131(12), 124127-124127.
-
Malshe, M., Narulkar, R., Raff, L. M., Hagan, M., Bukkapatnam, S., Agrawal, P. M., & Komanduri, R.
(2009).
Development of generalized potential-energy surfaces using many-body expansions, neural networks, and moiety energy approximations. Journal of Chemical Physics.
130(18), 184102-184102.
-
Wilkins, B. A., Komanduri, R., Bukkapatnam, S., Yang, H., Warta, G., & Benjamin, B. A.
(2009).
Recurrence quantification analysis (RQA) used for detection of ST segment deviation. The FASEB Journal.
23(S1), lb89-lb89.
-
Pukrittayakamee, A., Malshe, M., Hagan, M., Raff, L. M., Narulkar, R., Bukkapatnum, S., & Komanduri, R.
(2009).
Simultaneous fitting of a potential-energy surface and its corresponding force fields using feedforward neural networks. Journal of Chemical Physics.
130(13), 134101-134101.
-
Agrawal, P. M., Malshe, M., Narulkar, R., Raff, L. M., Hagan, M., Bukkapatnum, S., & Komanduri, R.
(2009).
A self-starting method for obtaining analytic potential-energy surfaces from ab initio electronic structure calculations. Journal of Physical Chemistry A.
113(5), 869-877.
-
Narulkar, R., Bukkapatnam, S., Raff, L. M., & Komanduri, R.
(2009).
Graphitization as a precursor to wear of diamond in machining pure iron: A molecular dynamics investigation. COMPUTATIONAL MATERIALS SCIENCE.
45(2), 358-366.
-
Phatak, U., Bukkapatnam, S., Kong, Z., & Komanduri, R.
(2009).
Sensor-based modeling of slurry, chemistry effects on the material removal rate (MRR) in copper-CMP process. International journal of machine tools & manufacture.
49(2), 171-181.
-
Schwier, J. M., Brooks, R. R., Griffin, C., & Bukkapatnam, S.
(2009).
Zero knowledge hidden Markov model inference. Pattern Recognition Letters.
30(14), 1273-1280.
-
Bukkapatnam, S., Komanduri, R., Yang, H., Rao, P., Lih, W., Malshe, M., ... Rockley, M.
(2008).
Classification of atrial fibrillation episodes from sparse electrocardiogram data. 41(4), 292-299.
-
Malshe, M., Narulkar, R., Raff, L. M., Hagan, M., Bukkapatnam, S., & Komanduri, R.
(2008).
Parametrization of analytic interatomic potential functions using neural networks. Journal of Chemical Physics.
129(4), 044111-044111.
-
Bukkapatnam, S., Rao, P., & Komanduri, R.
(2008).
Experimental dynamics characterization and monitoring of MRR in oxide chemical mechanical planarization (CMP) process. International journal of machine tools & manufacture.
48(12-13), 1375-1386.
-
Narulkar, R., Bukkapatnam, S., Raff, L. M., & Komanduri, R.
(2008).
Molecular dynamics simulations of diffusion of carbon into iron. Philosophical Magazine.
88(8), 1259-1275.
-
Lih, W., Bukkapatnam, S., Rao, P., Chandrasekharan, N., & Komanduri, R.
(2008).
Adaptive neuro-fuzzy inference system modeling of MRR and WIWNU in CMP process with sparse experimental data. IEEE Transactions on Automation Science and Engineering.
5(1), 71-83.
-
Yang, H., Bukkapatnam, S. T., & Komanduri, R.
(2007).
Nonlinear adaptive wavelet analysis of electrocardiogram signals. Physical Review E: Statistical, Nonlinear, and Soft Matter Physics.
76(2 Pt 2), 026214.
-
Bukkapatnam, S., Rao, P. K., Lih, W., Chandrasekaran, N., & Komanduri, R.
(2007).
Process characterization and statistical analysis of oxide CMP on a silicon wafer with sparse data. Applied Physics A: Materials Science and Processing.
88(4), 785-792.
-
Bukkapatnam, S., & Clark, B.
(2007).
Dynamic modeling and monitoring of contour crafting - An extrusion-based layered manufacturing process. Journal of Manufacturing Science and Engineering.
129(1), 135-142.
-
Govardhan, J. M., Bukkapatnam, S., Bhamare, Y., Rao, P. K., & Rajamani, V.
(2007).
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), 123-123.
-
Bukkapatnam, S., Malshe, M., Agrawal, P. M., Raff, L. M., & Komanduri, R.
(2006).
Parametrization of interatomic potential functions using a genetic algorithm accelerated with a neural network. Physical review B (PRB).
74(22), 224102.
-
Zhao, J., Dessouky, M., & Bukkapatnam, S.
(2006).
Optimal slack time for schedule-based transit operations. Transportation Science.
40(4), 529-539.
-
Agrawal, P. M., Samadh, A., Raff, L. M., Hagan, M. T., Bukkapatnam, S. T., & Komanduri, R.
(2005).
Prediction of molecular-dynamics simulation results using feedforward neural networks: reaction of a C2 dimer with an activated diamond (100) surface. Journal of Chemical Physics.
123(22), 224711-224711.
-
Ge, P., Lu, S., & Bukkapatnam, S.
(2005).
Supporting negotiations in the early stage of large-scale mechanical system design. Journal of Mechanical Design - Transactions of the ASME.
127(6), 1056-1067.
-
Bukkapatnam, S., Nichols, J. M., Seaver, M., Trickey, S. T., & Hunter, M.
(2005).
A wavelet-based, distortion energy approach to structural health monitoring. Structural Health Monitoring: an international journal.
4(3), 247-258.
-
Bukkapatnam, S., & Palanna, R.
(2004).
Experimental characterization of nonlinear dynamics underlying the cylindrical grinding process. Journal of Manufacturing Science and Engineering.
126(2), 341-344.
-
Chang, D., & Bukkapatnam, S.
(2004).
Towards Characterizing the Microdynamics of AE Generation in Machining. Machining Science and Technology: an international journal.
8(2), 235-261.
-
Chang, D. C., & Bukkapatnam, S.
(2004).
Towards characterizing the microdynamics of AE generation in machining. Machining Science and Technology: an international journal.
8(2), 235-261.
-
Zhao, J. M., Bukkapatnam, S., & Dessouky, M. M.
(2003).
Distributed architecture for real-time coordination of bus holding in transit networks. IEEE Transactions on Intelligent Transportation Systems.
4(1), 43-51.
-
Palanna, R., Bukkapatnam, S., & Settles, F. S.
(2003).
Model-Based Tampering for Improved Process PerformanceAn Application to Grinding of Shafts. Journal of Manufacturing Processes.
5(1), 24-32.
-
Palanna, R., & Bukkapatnam, S.
(2002).
Concept of model based tampering for improving process performance: An illustrative application to turning process. Machining Science and Technology: an international journal.
6(2), 271-290.
-
Bukkapatnam, S., Kumara, S., Lakhtakia, A., & Srinivasan, P.
(2002).
The neighborhood method and its coupling with the wavelet method for signal separation of chaotic signals. 82(10), 1351-1374.
-
Kwon, H. Y., Bukkapatnam, S., Khoshnevis, B., & Saito, A.
(2002).
Effects of orifice shape in contour crafting of ceramic materials. Rapid Prototyping Journal.
8(3), 147-160.
-
Loh, T. S., Bukkapatnam, S., Medeiros, D., & Kwon, H.
(2001).
A genetic algorithm for sequential part assignment for PCB assembly. Computers and Industrial Engineering.
40(4), 293-307.
-
Khoshnevis, B., Russell, R., Kwon, H., & Bukkapatnam, S.
(2001).
Crafting large prototypes. IEEE Robotics and Automation magazine.
8(3), 33-42.
-
Khoshnevis, B., Bukkapatnam, S., Kwon, H., & Saito, J.
(2001).
Experimental investigation of contour crafting using ceramics materials. Rapid Prototyping Journal.
7(1), 32-41.
-
Bukkapatnam, S., Kumara, S., & Lakhtakia, A.
(2000).
Fractal estimation of flank wear in turning. Journal of Dynamic Systems, Measurement and Control, Transactions of the ASME.
122(1), 89-94.
-
Kamarthi, S. V., Bukkapatnam, S., & Hsieh, S.
(2000).
An algorithm for a near optimal NC path generation in staircase (lase) traversal of convex polygonal surfaces. Journal of Manufacturing Science and Engineering.
122(1), 182-190.
-
Bukkapatnam, S., & Gao, G.
(2000).
Effect of reinforcement learning on coordination of multiagent systems. Proceedings of SPIE.
4208, 31-41.
-
Bukkapatnam, S., Kumara, S., & Lakhtakia, A.
(1999).
Analysis of acoustic emission signals in machining. Journal of Manufacturing Science and Engineering.
121(4), 568-576.
-
Bukkapatnam, S., Kumara, S., & Lakhtakia, A.
(1999).
Local eigenfunctions based suboptimal wavelet packet representation of contaminated chaotic signals. IMA Journal of Applied Mathematics.
63(2), 149-162.
-
Bukkapatnam, S. T., Kumara, S. R., & Lakhtakia, A.
(1997).
Local Eigenfunctions Based Suboptimal Wavelet Packet Representation of Contaminated Chaotic Signals
-
Bukkapatnam, S., Lakhtakia, A., & Kumara, S.
(1997).
Nonstationary chaos in acoustic emission from lathes. Journal of the Acoustical Society of America.
101(5), 3045-3045.
-
Bukkapatnam, S., Lakhtakia, A., & Kumara, S.
(1997).
Chaotic neurons for on-line quality control in manufacturing. The International Journal of Advanced Manufacturing Technology.
13(2), 95-100.
-
Kamarthi, S. V., Pittner, S., & Bukkapatnam, S.
(1997).
Foundations for analytical models of staircase traversal of convex polygonal surfaces. International Journal of Production Research.
35(7), 2009-2024.
-
Bukkapatnam, S. T., Lakhtakia, A., & Kumara, S. R.
(1995).
Analysis of sensor signals shows turning on a lathe exhibits low-dimensional chaos. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.
52(3), 2375-2387.
-
BUKKAPATNAM, S. T., KUMARA, S., & LAKHTAKIA, A.
(1995).
DEPENDENCE OF COMPUTED TRAJECTORY ON STEP-SIZE IN A NONLINEAR DYNAMIC SYSTEM - AN INVESTIGATION INTO CUTTING-TOOL DYNAMICS. IIE Transactions.
27(4), 519-529.
-
Bukkapatnam, S., Kumara, S., & Lakhtakia, A.
(1994).
Fractal estimation of flank wear in turning using time-delay neural networks. 4, 975-980.
-
Jia, Y., Chen, S., Deutz, N., Bukkapatnam, S., & Woltering, S.
Examining the structure validity of the Pittsburgh Sleep Quality Index. Sleep and Biological Rhythms.
17(2), 209-221.
-
Karthikeyan, A., Das, S., Bukkapatnam, S., & Eksin, C.
Statistical and Dynamic Model of Surface Morphology Evolution during Polishing in Additive Manufacturing. IISE TRANSACTIONS.
1-20.
-
Tangudu, V., Afrin, K., Reddy, S., Deutz, N., Woltering, S., & Bukkapatnam, S.
Toward standardizing the clinical testing protocols of point-of-care devices for obstructive sleep apnea diagnosis. Sleep and Breathing.
25(2), 737-748.
-
Argyros, A., Lianos, A. K., Lagoudas, D., Michailidis, N., & Bukkapatnam, S.
(2024).
Pre-programing the glass transition temperature and transformation strain of shape memory polymers in fused deposition modeling process. CIRP annals.
-
chapter
-
Iquebal, A. S., & Bukkapatnam, S.
(2018).
Change Detection and Prognostics for Transient Real-World Processes Using Streaming Data. Recent Advances in Optimization and Modeling of Contemporary Problems.
(pp. 279-315).
Institute for Operations Research and the Management Sciences (INFORMS).
-
Jain, V. K.
(2016).
Nanofinishing Science and Technology. Jain, V. K. (Eds.),
Nanofinishing Science and Technology: Basic and Advanced Finishing and Polishing Processes.
(pp. 549-595).
CRC Press.
-
Iyengar, S., Brooks, R., Lu, C., Schwier, J., Griffin, C., & Bukkapatnam, S.
(2016).
Markov Model Inferencing in Distributed Systems. Distributed Sensor Networks.
(pp. 569-580).
Taylor & Francis.
-
Chang, C., Bukkapatnam, S., & Komanduri, R.
(2014).
Sensing and Informatics in Laser-Based Nanomanufacturing Processes. Nof, S. Y., Weiner, A. M., & Cheng, G. J. (Eds.),
LASER AND PHOTONIC SYSTEMS: DESIGN AND INTEGRATION.
(pp. 201-234).
CRC Press.
-
Raff, L., Komanduri, R., Hagan, M., & Bukkapatnam, S.
(2012).
Neural Network Methods for Data Analysis and Statistical Error Reduction. Neural Networks in Chemical Reaction Dynamics.
Oxford University Press (OUP).
-
Raff, L., Komanduri, R., Hagan, M., & Bukkapatnam, S.
(2012).
Applications of Neural Network Fitting of Potential-Energy Surfaces. Neural Networks in Chemical Reaction Dynamics.
Oxford University Press (OUP).
-
Raff, L., Komanduri, R., Hagan, M., & Bukkapatnam, S.
(2012).
Configuration Space Sampling Methods. Neural Networks in Chemical Reaction Dynamics.
Oxford University Press (OUP).
-
Raff, L., Komanduri, R., Hagan, M., & Bukkapatnam, S.
(2012).
Empirical Potential-Energy Surfaces Fitting Using Feed forward Neural Networks. Neural Networks in Chemical Reaction Dynamics.
Oxford University Press (OUP).
-
Raff, L., Komanduri, R., Hagan, M., & Bukkapatnam, S.
(2012).
Feed Forward Neural Networks. Neural Networks in Chemical Reaction Dynamics.
Oxford University Press (OUP).
-
Raff, L., Komanduri, R., Hagan, M., & Bukkapatnam, S.
(2012).
Fitting Potential Energy Hypersurfaces. Neural Networks in Chemical Reaction Dynamics.
Oxford University Press (OUP).
-
Raff, L., Komanduri, R., Hagan, M., & Bukkapatnam, S.
(2012).
Genetic Algorithm (GA) and Internal Energy Transfer Calculations Using Neural Network (NN) Methods. Neural Networks in Chemical Reaction Dynamics.
Oxford University Press (OUP).
-
Raff, L., Komanduri, R., Hagan, M., & Bukkapatnam, S.
(2012).
Other Applications of Neural Networks to Quantum Mechanical Problems. Neural Networks in Chemical Reaction Dynamics.
Oxford University Press (OUP).
-
Raff, L., Komanduri, R., Hagan, M., & Bukkapatnam, S.
(2012).
Overview of Some Non Neural Network Methods for Fitting Ab Initio Potential-Energy Databases. Neural Networks in Chemical Reaction Dynamics.
Oxford University Press (OUP).
-
Raff, L., Komanduri, R., Hagan, M., & Bukkapatnam, S.
(2012).
Potential-Energy Surfaces Using Expansion Methods and Neural Networks. Neural Networks in Chemical Reaction Dynamics.
Oxford University Press (OUP).
-
Raff, L., Komanduri, R., Hagan, M., & Bukkapatnam, S.
(2012).
Summary, Conclusions, and Future Trends. Neural Networks in Chemical Reaction Dynamics.
Oxford University Press (OUP).
-
Bukkapatnam, S., Yang, H., & Madhavi, F.
(2009).
Towards Prediction of Nonlinear and Nonstationary Evolution of Customer Preferences Using Local Markov Models. PRODUCT RESEARCH: THE ART AND SCIENCE BEHIND SUCCESSFUL PRODUCT LAUNCHES.
(pp. 271-287).
Springer Nature.
-
Kumara, S., & Bukkapatnam, S.
(2007).
Characterization and Monitoring of Nonlinear Dynamics and Chaos in Manufacturing Enterprise Systems. International Series in Operations Research and Management Science.
NETWORK SCIENCE, NONLINEAR SCIENCE AND INFRASTRUCTURE SYSTEMS.
(pp. 99-122).
Springer Nature.
-
Pukrittayakamee, A., Hagan, M. T., Raff, L., Bukkapatnam, S., & Komanduri, R.
(2007).
Fitting a Function and Its Derivative. Intelligent Engineering Systems Through Artificial Neural Networks, Volume 17.
(pp. 469-474).
ASME International.
-
Iquebal, A. S., & Bukkapatnam, S.
(2018).
Change Detection and Prognostics for Transient Real-World Processes Using Streaming Data. Recent Advances in Optimization and Modeling of Contemporary Problems.
(pp. 279-315).
Institute for Operations Research and the Management Sciences (INFORMS).
-
conference paper
-
Tiwari, A., Villasenor, E. J., Gupta, N., Reddy, N., Karri, R., & Bukkapatnam, S.
(2021).
Protection against Counterfeiting Attacks in 3D Printing by Streaming Signature-embedded Manufacturing Process Instructions. 11-21.
-
Z. Losoya, E., Vishnumolakala, N., Noynaert, S. F., Medina-Cetina, Z., Bukkapatnam, S., & Gildin, E.
(2021).
Automatic Identification of Rock Formation Type While Drilling Using Machine Learning Based Data-Driven Models
-
Moturu, P. K., Nepal, B., Pagilla, P., & Bukkapatnam, S.
(2020).
Assessing the Impact of an REU Program on Students Intellectual Growth and Interest in Graduate School in Cybermanufacturing
-
McAtee, P. D., Bukkapatnam, S., & Lakhtakia, A.
(2019).
Artificial neural network to estimate the refractive index of a liquid infiltrating a chiral sculptured thin film in a sensor chip. Proceedings of SPIE.
1137103-1137103-7.
-
Nepal, B., Pagilla, P., Srinivasa, A., Moturu, P. K., & Bukkapatnam, S.
(2019).
Board 115: Preparing Next Generation of Manufacturing Leaders: A Case of REU Site in Cybermanufacturing
-
McAtee, P. D., Bukkapatnam, S., & Lakhtakia, A.
(2018).
Artificial neural network to predict the refractive index of a liquid infiltrating a chiral sculptured thin film. Proceedings of SPIE.
107280g.
-
Wang, Z., Iquebal, A. S., & Bukkapatnam, S.
(2018).
A vision-based monitoring approach for real-time control of laser origami cybermanufacturing processes. Procedia Manufacturing.
1307-1317.
-
Botcha, B., Wang, Z., Rajan, S., Gautam, N., Bukkapatnam, S., Manthanwar, A., ... Korambath, P.
(2018).
IMPLEMENTING THE TRANSFORMATION OF DISCRETE PART MANUFACTURING SYSTEMS INTO SMART MANUFACTURING PLATFORMS. v003t02a009-v003t02a009.
-
Botcha, B., Rajagopal, V., Babu, R. N., & Bukkapatnam, S.
(2018).
Process-machine interactions and a multi-sensor fusion approach to predict surface roughness in cylindrical plunge grinding process. Procedia Manufacturing.
700-711.
-
Chegdani, F., Takabi, B., Tai, B. L., El Mansori, M., & Bukkapatnam, S.
(2018).
Thermal Effects on Tribological Behavior in Machining Natural Fiber Composites. Procedia Manufacturing.
305-316.
-
Chegdani, F., Bukkapatnam, S., & El Mansori, M.
(2018).
Thermo-mechanical Effects in Mechanical Polishing of Natural Fiber Composites. Procedia Manufacturing.
294-304.
-
Iquebal, A. S., Wang, Z., Ko, W., Wang, Z., Kumar, P. R., Srinivasa, A., & Bukkapatnam, S.
(2018).
Towards Realizing Cybermanufacturing Kiosks: Quality Assurance Challenges and Opportunities. Procedia Manufacturing.
1296-1306.
-
Afrin, K., Bukkapatnam, S., Shivaram, T., Nguyen, V., & Nicolaas, D.
(2017).
WEARABLE INNOVATION IN SLEEP: DIAGNOSIS AND TREATMENT OF OBSTRUCTIVE SLEEP APNEA. A225-A225.
-
Mistarihi, M. Z., Kong, Z., & Bukkapatnam, S.
(2017).
A multi-fractal spectrum analysis for online structural health monitoring. Proceedings of the International Conference on Industrial Engineering and Operations Management.
711-721.
-
Iquebal, A. S., Shrestha, S., Wang, Z., Manogharan, G. P., & Bukkapatnam, S.
(2016).
Integrating metal am with milling and non-Traditional machining to improve surface properties. 28-32.
-
Ding, Y. u., & Bukkapatnam, S.
(2015).
Challenges and Needs for Automating Nano Image Processing for Material Characterization. Proceedings of SPIE.
95560z-95560z-7.
-
Rao, P., Bukkapatnam, S., Kong, Z., Beyca, O., Case, K., & Komanduri, R.
(2015).
Quantification of Ultraprecision Surface Morphology using an Algebraic Graph Theoretic Approach. Procedia Manufacturing.
12-26.
-
Cheng, C., Wang, Z., Hung, W., Bukkapatnam, S., & Komanduri, R.
(2015).
Ultra-Precision Machining Process Dynamics and Surface Quality Monitoring. Procedia Manufacturing.
607-618.
-
Karandikar, K., Le, T. Q., Sa-ngasoongsong, A., Wongdhamma, W., & Bukkapatnam, S.
(2013).
Detection of Sleep Apnea Events via tracking Nonlinear Dynamic Cardio-Respiratory Coupling from Electrocardiogram Signals. International IEEE/EMBS Conference on Neural Engineering : [proceedings]. International IEEE EMBS Conference on Neural Engineering.
1358-1361.
-
Le, T. Q., Cheng, C., Sangasoongsong, A., & Bukkapatnam, S.
(2013).
Prediction of Sleep Apnea Episodes from a Wireless Wearable Multisensor Suite. 152-155.
-
Wongdhamma, W., Le, T. Q., & Bukkapatnam, S.
(2013).
Wireless Wearable Multi-Sensory System for Monitoring of Sleep Apnea and Other Cardiorespiratory Disorders. IEEE International Conference on Automation Science and Engineering (CASE) : [proceedings]. IEEE Conference on Automation Science and Engineering.
605-610.
-
Cheng, C., Bukkapatnam, S., Raff, L. M., & Komanduri, R.
(2012).
Towards control of carbon nanotube synthesis process using prediction-based fast monte carlo simulations. Transactions- North American Manufacturing Research Institution of Sme.
371-378.
-
Sa-ngasoongsong, A., Bukkapatnam, S., Kim, J., Iyer, P. S., & Suresh, R. P.
(2012).
Multi-step sales forecasting in automotive industry based on structural relationship identification. International Journal of Production Economics.
875-887.
-
Mistarihi, M., Kong, Z., Bukkapatnam, S., Ley, T., & Liu, T.
(2012).
A quasi-recursive correlation dimension analysis for online structural health monitoring (SHM). 1584-1593.
-
Cheng, C., Bukkapatnam, S., Raff, L. M., & Komanduri, R.
(2012).
Novel nanoinformatics methods for scaling up atomistic-scale simulation of carbon nanotube synthesis. 1985-1993.
-
Earni, S., Kolarik, W. J., & Bukkapatnam, S.
(2011).
Production system modeling and analysis using control-theoretic approaches
-
Sangasoongsong, A., & Bukkapatnam, S.
(2011).
Willingness-to-pay prediction based on empirical mode decomposition
-
Sa-ngasoongsong, A., & Bukkapatnam, S.
(2010).
Wireless Transmission of Sensor Signals for Phonocardiology Applications. Proceedings of IEEE Sensors.
1975-1978.
-
Kong, Z. J., Oztekin, A., Beyca, O. F., Phatak, U., Bukkapatnam, S., & Komanduri, R.
(2010).
Process Performance Prediction for Chemical Mechanical Planarization (CMP) by Integration of Nonlinear Bayesian Analysis and Statistical Modeling. IEEE Transactions on Semiconductor Manufacturing.
316-327.
-
Le, T. Q., Bukkapatnam, S., Sangasoongsong, A., & Komanduri, R.
(2010).
Towards Virtual Instruments for Cardiovascular Healthcare: Real-time Modeling of Cardiovascular Dynamics using ECG Signals. 903-910.
-
Oztekin, A., Pajouh, F. M., Kong, Z., & Bukkapatnam, S.
(2010).
DETERMINING THE OPTIMUM NUMBER OF RFID READERS FOR EFFICIENT ASSET TRACKING. 1323-1331.
-
Yang, H., & Bukkapatnam, S.
(2010).
Multiscale recurrence analysis of complex physiological rhythmic dynamics
-
Le, T. Q., Bukkapatnam, S., & Komanduri, R.
(2010).
Real-time modeling of cardiovascular dynamics using electrocardiogram-based activation functions
-
Hariharan, S., & Bukkapatnam, S.
(2009).
Misplaced Item Search in a Warehouse using an RFID-based Partially Observable Markov Decision Process (POMDP) Model. IEEE International Conference on Automation Science and Engineering (CASE) : [proceedings]. IEEE Conference on Automation Science and Engineering.
443-+.
-
Bukkapatnam, S., Mukkamala, S., Kunthong, J., Sarangan, V., & Komanduri, R.
(2009).
Real-time Monitoring of Container Stability Loss using Wireless Vibration Sensor Tags. IEEE International Conference on Automation Science and Engineering (CASE) : [proceedings]. IEEE Conference on Automation Science and Engineering.
221-226.
-
Sarangan, V., Kunthong, J., Cai, X., Bukkapatnam, S., Komanduri, R., & Volakis, J.
(2009).
A Low-cost, Small-footprint Wireless Sensor for Container Integrity Monitoring. 1-9.
-
Sarangan, V., Kunthong, J., Cai, X., Bukkapatnam, S., Komanduri, R., & Volakis, J.
(2009).
A Low-cost, Small-footprint Wireless Sensor for Container Integrity Monitoring. 315-+.
-
Pukrittayakamee, A., Hagan, M., Raff, L., Bukkapatnam, S., & Komanduri, R.
(2009).
A Network Pruning Algorithm for Combined Function and Derivative Approximation. 2553-2560.
-
Pukrittayakamee, A., Hagan, M., Raff, L., Bukkapatnam, S., & Komanduri, R.
(2009).
A Network Pruning Algorithm for Combined Function and Derivative Approximation. 1289-+.
-
Mittal, U., Yang, H., Bukkapatnam, S., & Barajas, L. G.
(2008).
Dynamics and Performance Modeling of Multi-Stage Manufacturing Systems using Nonlinear Stochastic Differential Equations. IEEE International Conference on Automation Science and Engineering (CASE) : [proceedings]. IEEE Conference on Automation Science and Engineering.
498-+.
-
Kunthong, J., Bunting, C. F., & Bukkapatnam, S.
(2008).
Development of A Wireless Electric Field Probe Using Wireless Sensor Network for Characterization of Indoor Environments Part 1. 1-4.
-
Kunthong, J., Bunting, C. F., & Bukkapatnam, S.
(2008).
Development of A Wireless Electric Field Probe Using Wireless Sensor Network for Characterization of Indoor Environments Part 1. AP-S International Symposium (Digest) (IEEE Antennas and Propagation Society).
891-894.
-
Bukkapatnam, S., Rao, P., Chandrasekaran, N., & Komanduri, R.
(2007).
Experimental nonlinear dynamics characterization and monitoring of chemical mechanical planarization (CMP) Process. 453-464.
-
Bukkapatnam, S., & Komanduri, R.
(2007).
Container integrity and condition monitoring using RF vibration sensor tags. IEEE International Conference on Automation Science and Engineering (CASE) : [proceedings]. IEEE Conference on Automation Science and Engineering.
740-745.
-
Ok, C., Thadakamalla, H., Raghavan, U., Kumara, S., Kim, S., Zhang, X., & Bukkapatnam, S.
(2007).
Optimal transmission power in self-sustainable sensor networks for pipeline monitoring. IEEE International Conference on Automation Science and Engineering (CASE) : [proceedings]. IEEE Conference on Automation Science and Engineering.
957-962.
-
Bukkapatnam, S., & Komanduri, R.
(2007).
Container Integrity and Condition Monitoring using RF Vibration Sensor Tags. 585-590.
-
Ok, C., Thadakamalla, H., Raghavan, U., Kumara, S., Kim, S., Zhang, X., & Bukkapatnam, S.
(2007).
Optimal Transmission Power in Self-sustainable Sensor Networks for Pipeline Monitoring. 591-596.
-
Bukkapatnam, S., Lih, W. C., Rao, P., Chandrasekaran, N., & Komanduri, R.
(2006).
Analysis of mrr and wiwnu in oxide cmp using sparse experimental data. 441-447.
-
Earni, S., & Bukkapatnam, S.
(2006).
Towards Performance Analysis of Manufacturing Systems Using Nonlinear Dynamic Principles. SAE Technical Papers.
-
Awawdeh, A., Bukkapatnam, S., Kumara, S., Bunting, C., & Komanduri, R.
(2006).
Wireless sensing of flow-induced vibrations for pipeline integrity monitoring. Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop.
114-+.
-
Awawdeh, A., Bukkapatnam, S., Kumara, S., Bunting, C., & Komanduri, R.
(2006).
Wireless Sensing of Flow-Induced Vibrations for Pipeline Integrity Monitoring. 114-117.
-
Bukkapatnam, S., & Chang, D. C.
(2005).
A statistical mechanistic model of acoustic emission generation from shear zone of machining. Transactions- North American Manufacturing Research Institution of Sme.
597-604.
-
Bukkapatnam, S., & Sadananda, K.
(2005).
A genetic algorithm for unified approach-based predictive modeling of fatigue crack growth. International Journal of Fatigue.
1354-1359.
-
Palanna, R., & Bukkapatnam, S.
(2003).
Model based tampering for improved process performance - An application to grinding of shafts. Transactions- North American Manufacturing Research Institution of Sme.
597-604.
-
Ge, P., Lu, S., & Bukkapatnam, S.
(2002).
A Direct Synthesis Method for Early Stage Parametric Design of Large-Scale Mechanical Systems. 69-78.
-
Fofana, M. S., & Bukkapatnam, S.
(2001).
Analysis of Degenerate Bifurcation in Machining Using a Nonlinear Model. 2371-2388.
-
Zhao, J. M., Dessouky, M., & Bukkapatnam, S.
(2001).
Distributed holding control of bus transit operations. 976-981.
-
Lu, S., Bukkapatnam, S., Ge, P., & Wang, N.
(1999).
Backward Mapping Methodology for Design Synthesis. 29-39.
-
Bukkapatnam, S.
(1999).
Compact Nonlinear Signal Representation in Machine Tool Operations. 1799-1806.
-
Bukkapatnam, S., Kumara, S., & Lakhtakia, A.
(1997).
Analysis of acoustic emission signals in machining. 450-455.
-
Kumara, S., Bukkapatnam, S., & Lakhtakia, A.
(1996).
Theory of chaos based techniques for process monitoring. 223-228.
-
Bukkapatnam, S., Lakhtakia, A., Kumara, S., & Satapathy, G.
(1995).
Characterization of nonlinearity of cutting tool vibrations and chatter. 1207-1223.
-
Bukkapatnam, S., Lakhtakia, A., & Kumara, S.
(1995).
The concept of chaos theory based optimal cutting tool chatter control. Proceedings of SPIE.
2-10.
-
Kovvuri, V., Wang, Z., Araujo, A., da Silva, M. B., Bukkapatnam, S., & Hung, W.
BUILT-UP-EDGE FORMATION IN MICROMILLING. v02at02a057-v02at02a057.
-
Tiwari, A., Villasenor, E. J., Gupta, N., Reddy, N., Karri, R., & Bukkapatnam, S.
(2021).
Protection against Counterfeiting Attacks in 3D Printing by Streaming Signature-embedded Manufacturing Process Instructions. 11-21.
-
institutional repository document
-
Zhong, Y., Jatav, A., Afrin, K., Shivaram, T., & Bukkapatnam, S.
(2023).
Explainable Machine Learning-Based SpO2 Estimation Using Photoplethysmograms Measured from a Neck Wearable
-
Jin, S., Tuo, R., Tiwari, A., Bukkapatnam, S., Aracne-Ruddle, C., Lighty, A., Hamza, H., & Ding, Y. u.
(2022).
Hypothesis Tests with Functional Data for Surface Quality Change Detection in Surface Finishing Processes
-
Balhara, H., Botcha, B., Wolff, S., & Bukkapatnam, S.
(2022).
Ripple Formations Determine the Heterogeneous Microstructure of Directed Energy Deposition (Ded)-Printed 316l Components
-
Wang, Z., Guo, R., Ma, Q., Chegdani, F., Tai, B., Mansori, M. E., & Bukkapatnam, S.
(2021).
Characterization of the Physical Origins of Acoustic Emission (AE) From Natural Fiber Reinforced Polymers (Nfrps) Machining Processes
-
Wang, Z., Wang, Z., Ko, W., Iquebal, A. S., Nguyen, V. u., Kazerooni, N. A., ... Bukkapatnam, S.
(2021).
An Autonomous Laser Kirigami Method With Low-Cost Real-Time Vision-Based Surface Deformation Feedback System
-
Balhara, H., Botcha, B., Wolff, S., & Bukkapatnam, S.
(2021).
Ripple formation and its effect on the multi-scale microstructure of Directed Energy Deposition (DED)-printed 316L components
-
Ahmed, I., Bukkapatnam, S., Botcha, B., & Ding, Y. u.
(2021).
Towards Futuristic Autonomous Experimentation--A Surprise-Reacting Sequential Experiment Policy
-
Liu, M., Kumar, A., Bukkapatnam, S., & Kuttolamadom, M.
(2020).
A Review of the Anomalies in Directed Energy Deposition (DED) Processes and Potential Solutions
-
Piao, D., O'Hara, J., Bukkapatnam, S., & Ekin, S.
(2020).
Towards Non-Contact Glucose Sensing in Aqueous Turbid Medium at ~1.1 Meters Distance
-
McAtee, P. D., Bukkapatnam, S., & Lakhtakia, A.
(2019).
Artificial neural network to estimate the refractive index of a liquid infiltrating a chiral sculptured thin film
-
Afrin, K., Illangovan, G., Srivatsa, S. S., & Bukkapatnam, S.
(2018).
Balanced Random Survival Forests for Extremely Unbalanced, Right Censored Data
-
Iquebal, A. S., & Bukkapatnam, S.
(2018).
Consistent estimation of the max-flow problem: Towards unsupervised image segmentation
-
Afrin, K., Verma, P., Srivatsa, S. S., & Bukkapatnam, S.
(2018).
Simultaneous 12-Lead Electrocardiogram Synthesis using a Single-Lead ECG Signal: Application to Handheld ECG Devices
-
Iquebal, A. S., Bukkapatnam, S., & Srinivasa, A.
(2017).
Change detection in complex dynamical systems using intrinsic phase and amplitude synchronization
-
Iquebal, A. S., Sagapuram, D., & Bukkapatnam, S.
(2016).
Surface plastic flow in polishing of rough surfaces
-
Zhong, Y., Jatav, A., Afrin, K., Shivaram, T., & Bukkapatnam, S.
(2023).
Explainable Machine Learning-Based SpO2 Estimation Using Photoplethysmograms Measured from a Neck Wearable
-
patent
-
Bukkapatnam, S., Srinivasa, A., Hung, W., Iquebal, A., Nagarajan, T., Aguirre, M. R., & Graham, K.
(2020).
Method and apparatus for performing targeted polishing via manipulation of magnetic-abrasive fluid
-
Bukkapatnam, S., Srinivasa, A., Hung, W., Iquebal, A., Nagarajan, T., Aguirre, M. R., & Graham, K.
(2017).
Method and apparatus for performing targeted polishing via manipulation of magnetic-abrasive fluid
-
Bukkapatnam, S., Srinivasa, A., Hung, W., Iquebal, A., Nagarajan, T., Aguirre, M. R., & Graham, K.
(2020).
Method and apparatus for performing targeted polishing via manipulation of magnetic-abrasive fluid
Research
principal investigator on
- PFI-AIR-TT: Wearable Sleepwear for Quantitative Prognostication and Noninvasive Therapy of Obstructive Sleep Apnea awarded by National Science Foundation - (Arlington, Virginia, United States) 2015 - 2019
- Localized Finishing of Freeform Geometries using Dynamic Magnetic Field-Manipulated Magneto-Viscoelastic Fluids awarded by National Science Foundation - (Arlington, Virginia, United States) 2016 - 2018
- Atomistic Dynamics of Acoustic Emission (AE) Generation in Ultra-Precision Machining (UPM) for Incipient Anomaly Detection awarded by National Science Foundation - (Arlington, Virginia, United States) 2014 - 2018
- Characterization and Real Time Defect Mitigation in Chemical/Mechanical Polishing of Microelectronic Wafers Using Decision Theory and MultiSensor Fusion awarded by National Science Foundation - (Arlington, Virginia, United States) 2014 - 2016
- NSF Workshop on Advanced Manufacturing Needs for the Oil and Gas Energy Sector- awarded by National Science Foundation - (Arlington, Virginia, United States) 2014 - 2015
co-principal investigator on
- Modeling and Control of Ceovolutionary Network Formation with Applications to Finishing Processes for 3D Printed Components awarded by Directorate for Engineering - (Arlington, Virginia, United States) 2020 - 2023
- S&AS: INT: Autonomous Experimentation Platform for Accelerating Manufacturing of Advanced Materials awarded by National Science Foundation - (Arlington, Virginia, United States) 2019 - 2022
- RET Site: Enhancing Teacher Knowledge & Skills in Modern Manufacturing awarded by National Science Foundation - (Arlington, Virginia, United States) 2018 - 2021
- REU Site on Cybermanufacturing awarded by National Science Foundation - (Arlington, Virginia, United States) 2018 - 2021
- Workshop on Additive Manufacturing (3D Printing) for Civil Infrastructure Design and Construction: Arlington, Virginia; July 13-14, 2017 awarded by National Science Foundation - (Arlington, Virginia, United States) 2017 - 2020
- EAGER: Cybermanufacturing - Design and Analysis of a Cyberphysical Systems Approach for Custom Manufacturing Kiosks awarded by National Science Foundation - (Arlington, Virginia, United States) 2015 - 2018
Teaching
teaching activities
- ENGR491 Hnr-research Instructor
- ISEN281 Essent Mdrn Mftg Meth Engr Des Instructor
- ISEN413 Advanced Data Analytics Instructor
- ISEN414 Total Quality Engr Instructor
- ISEN485 Directed Studies Instructor
- ISEN491 Hnr-research Instructor
- ISEN613 Engr Data Analysis Instructor
- ISEN684 Professional Internship: In-ab Instructor
- ISEN684 Professional Internship: In-ab Instructor
- ISEN685 Directed Studies Instructor
- ISEN689 Sptp: Sensing And Prognost Mfg Instructor
- ISEN689 Sptp:elements Of Smart Mfg Instructor
- ISEN691 Research Instructor
- ISEN692 Professional Study Instructor
- ITDE684 Professional Internship Instructor
- ITDE691 Research Instructor
- MEEN491 Hnr-research Instructor
- MEEN684 Professional Internship Instructor
- MEEN685 Directed Studies Instructor
- MEEN691 Research Instructor
Works By Students
chaired theses and dissertations
-
Afrin, Kahkashan (2020-08). Survival Analysis for Big Data.
-
El Amri, Iskander (2018-07). Localized Magnetic Fluid Finishing of Freeform Surfaces Using Electro-Permanent Magnets and Magnetic Concentration.
-
Guo, Ruiqi (2019-07). Analysis of Non-Linear and Non-Stationary Data with Intrinsic Time-Scale Decomposition (ITD) and Gaussian Mixture Model: Application to Acoustic EmissionBased Process Monitoring.
-
Iquebal, Ashif Sikandar (2020-08). Graph Analytics For Smart Manufacturing.
-
Korlapati, Naga Venkata Saidileep (2020-11). Prognostics in Manufacturing Systems Using DeepSurv.
-
Kovvuri, Vivekananda Reddy (2015-07). Experimental Study of Built-up-edge Formation in Micro Milling.
-
Patel, Jigar Bimal (2016-12). Ultrasonic Enhancement of Pulsed Electrochemical Machining.
-
Tran, Hoang Minh (2017-08). Data Driven Techniques for Modeling Coupled Dynamics in Transient Processes.
-
Wang, Zimo (2020-07). Smart Sensing in Advanced Manufacturing Processes: Statistical Modeling and Implementations for Quality Assurance and Automation.
-
Zhong, Yuhao (2020-04). Image-based Flight Control of Unmanned Aerial Vehicles (UAVs) for Material Handling in Custom Manufacturing.
Background
education and training
- Ph.D. in Industrial and Manufacturing Engineering, Pennsylvania State University - (State College, Pennsylvania, United States) 1997
- M.S. in Industrial and Manufacturing Engineering, Pennsylvania State University - (State College, Pennsylvania, United States) 1994
- B.T. in Mechanical Engineering, Sri Venkateswara University - (Tirumala - Tirupati, Andhra Pradesh, India) 1992
awards and honors
- George L. Smith International Award, conferred by Institute of Industrial and Systems Engineers - (Peachtree Corners, Georgia, United States), 2021
- Fellow Award, conferred by Institute of Industrial Engineers - (Hong Kong, Hong Kong, China), 2016
- Award for Technical Innovation in Industrial Engineering, conferred by Institute of Industrial Engineers - (Hong Kong, Hong Kong, China), 2014
- Outstanding Young Industrial Engineer Award - Education and Industry, conferred by Institute of Industrial Engineers - (Hong Kong, Hong Kong, China), 2012
Contact
first name
- Satish
has last name
- Bukkapatnam
mailing address
-
Texas A&M University
Industrial Engineering
3131 TAMU
College Station, TX 77843-3131
USA
Other
In the News
- satish@tamu.edu