S. Bukkapatnam

发表

Real-Time Identification of Incipient Surface Morphology Variations in Ultraprecision Machining Process

R. Komanduri, Prahalada K. Rao, S. Bukkapatnam, 2014 .

Online non-contact surface finish measurement in machining using graph theory-based image analysis

Satish T. S. Bukkapatnam, Zhenyu Kong, M. Samie Tootooni, 2016 .

Learning acoustic emission signatures from a nanoindentation-based lithography process: Towards rapid microstructure characterization

S. Bukkapatnam, A. Iquebal, Shirish Pandagare, 2020 .

Acoustic Emission Characterization of Natural Fiber Reinforced Plastic Composite Machining Using a Random Forest Machine Learning Model

Bruce L. Tai, Mohamed El Mansori, Satish Bukkapatnam, 2020 .

Quantification of Ultraprecision Surface Morphology using an Algebraic Graph Theoretic Approach

K. E. Case, R. Komanduri, Prahalada K. Rao, 2015 .

Automobile Sales Modeling using Granger-Causality Graph with PROC VARMAX in SAS

S. Bukkapatnam, 2012 .

A mixed experimental-CFD-data science approach for rheological measurement of polishing fluids

S. Bukkapatnam, N. Thomas, A. Srinivasa, 2020, Mechanics of Advanced Materials and Structures.

A Wavelet-based, Distortion Energy Approach to Structural Health Monitoring

S. T. Trickey, J. M. Nichols, M. Hunter, 2005 .

Parametrization of interatomic potential functions using a genetic algorithm accelerated with a neural network

Satish T. S. Bukkapatnam, Ranga Komanduri, Lionel M. Raff, 2006 .

Built-up-edge effects on surface deterioration in micromilling processes

S. Bukkapatnam, Z. Wang, W. Hung, 2016 .

Nonlinear adaptive wavelet analysis of electrocardiogram signals.

R. Komanduri, S. Bukkapatnam, H. Yang, 2007, Physical review. E, Statistical, nonlinear, and soft matter physics.

Wireless Wearable Multisensory Suite and Real-Time Prediction of Obstructive Sleep Apnea Episodes

Satish T. S. Bukkapatnam, Trung Q. Le, Woranat Wongdhamma, 2013, IEEE Journal of Translational Engineering in Health and Medicine.

Localized magnetic fluid finishing of freeform surfaces using electropermanent magnets and magnetic concentration

S. Bukkapatnam, A. Iquebal, A. Srinivasa, 2018, Journal of Manufacturing Processes.

Artificial neural network to estimate the refractive index of a liquid infiltrating a chiral sculptured thin film

S. Bukkapatnam, A. Lakhtakia, Patrick D Mcatee, 2019, Journal of Nanophotonics.

Molecular dynamics simulations of diffusion of carbon into iron

Satish T. S. Bukkapatnam, R. Komanduri, Lionel M. Raff, 2008 .

Fast Monte Carlo Simulation-based Process Design and Planning for Carbon Nanotube Synthesis

L. Raff, R. Komanduri, S. Bukkapatnam, 2016 .

Planar random graph representations of spatiotemporal surface morphology: Application to finishing of 3-D printed components

S. Bukkapatnam, S. Kumara, A. Iquebal, 2018 .

DYNAMIC COORDINATION FRAMEWORK FOR RESOURCE ALLOCATION IN TRUCKING OPERATIONS

S. Bukkapatnam, Vimal Krishnan, G. Gao, 2001 .

A Gaussian Process Model-Guided Surface Polishing Process in Additive Manufacturing

Andrew T. Gaynor, Yu Ding, S. Bukkapatnam, 2019 .

Modeling and analysis of the coupled dynamics of machine degradation and repair processes using piecewise affine stochastic differential equations

S. Bukkapatnam, H. M. Tran, 2015 .

Toward standardizing the clinical testing protocols of point-of-care devices for obstructive sleep apnea diagnosis

S. Bukkapatnam, N. Deutz, S. Woltering, 2020, Sleep and Breathing.

Real-Time Lumped Parameter Modeling of Cardiovascular Dynamics Using Electrocardiogram Signals: Toward Virtual Cardiovascular Instruments

Satish T. S. Bukkapatnam, Ranga Komanduri, Trung Q. Le, 2013, IEEE Transactions on Biomedical Engineering.

Fractal Estimation of Flank Wear in Turning

Satish T. S. Bukkapatnam, Akhlesh Lakhtakia, Soundar Kumara, 2000 .

Wireless sensing of flow-induced vibrations for pipeline integrity monitoring

R. Komanduri, S. Bukkapatnam, S. Kumara, 2006, SAM 2006.

Hypothesis Tests with Functional Data for Surface Quality Change Detection in Surface Finishing Processes

S. Bukkapatnam, Rui Tuo, Shilan Jin, 2022, 2205.04431.

Willingness-to-pay Prediction Based on Empirical Mode Decomposition

S. Bukkapatnam, 2011 .

Board 115: Preparing Next Generation of Manufacturing Leaders: A Case of REU Site in Cybermanufacturing

P. Pagilla, S. Bukkapatnam, A. Srinivasa, 2019 .

Surface plastic flow in polishing of rough surfaces

S. Bukkapatnam, A. Iquebal, D. Sagapuram, 2016, Scientific Reports.

Thermo-mechanical Effects in Mechanical Polishing of Natural Fiber Composites

S. Bukkapatnam, M. Mansori, Faissal Chegdani, 2018 .

The Value of RFID Tracking Systems for Inventory Management in Healthcare

R. Sharda, S. Bukkapatnam, D. Asamoah, 2012 .

Autonomous materials discovery and manufacturing (AMDM): A review and perspectives

S. Bukkapatnam, 2022, IISE Transactions.

Prediction of sleep apnea episodes from a wireless wearable multisensor suite

S. Bukkapatnam, T. Le, Changqing Cheng, 2013, 2013 IEEE Point-of-Care Healthcare Technologies (PHT).

Prognosis of Epileptic Seizure Event Onsets Using Random Survival Forests

S. Bukkapatnam, D. Reddy, K. Afrin, 2022, IISE Transactions on Healthcare Systems Engineering.

Multiscale tribo-mechanical analysis of natural fiber composites for manufacturing applications

S. Bukkapatnam, M. Mansori, Zimo Wang, 2018, Tribology International.

Identifying the influence of surface texture waveforms on colors of polished surfaces using an explainable AI approach

S. Bukkapatnam, A. Lakhtakia, H. Yamaguchi, 2022, IISE Transactions.

Explainable AI-infused ultrasonic inspection for internal defect detection

S. Bukkapatnam, Yuhao Zhong, Akash Tiwari, 2022, CIRP Annals.

An autonomous laser kirigami method with low-cost real-time vision-based surface deformation feedback system

Panganamala Ramana Kumar, S. Bukkapatnam, A. Iquebal, 2021, The International Journal of Advanced Manufacturing Technology.

Ripple formation and its effect on the multi-scale microstructure of Directed Energy Deposition (DED)-printed 316L components

S. Wolff, S. Bukkapatnam, Himanshu Balhara, 2021, 2111.11601.

Determination of potential solar power sites in the United States based upon satellite cloud observations. Final report, 5 June 1976--4 September 1977

S. Bukkapatnam, H. Hiser, H. Senn, 1977 .

Proactive Approach to Transportation Resource Allocation under Severe Winter Weather Emergencies

S. Bukkapatnam, Z. Kong, Balabhaskar Balasundaram, 2012 .

Towards Futuristic Autonomous Experimentation-A Surprise-Reacting Sequential Experiment Policy

S. Bukkapatnam, Yucheng Ding, Imtiaz Ahmed, 2021, ArXiv.

Practical Training Framework for Fitting a Function and Its Derivatives

Arjpolson Pukrittayakamee, Martin Hagan, Lionel Raff, 2011, IEEE Transactions on Neural Networks.

Criticality index analysis based optimal RFID reader placement models for asset tracking

Satish T. S. Bukkapatnam, Zhenyu Kong, Asil Oztekin, 2010 .

The neighborhood method and its coupling with the wavelet method for signal separation of chaotic signals

Soundar R. T. Kumara, Satish T. S. Bukkapatnam, Akhlesh Lakhtakia, 2002, Signal Process..

Towards rapid, in situ characterization for materials-on-demand manufacturing

Satish T. S. Bukkapatnam, Ashif Sikandar Iquebal, Bhaskar Botcha, 2020 .

A graph-theoretic approach for quantification of surface morphology variation and its application to chemical mechanical planarization process

Satish T. S. Bukkapatnam, Ranga Komanduri, Zhenyu Kong, 2015 .

A genetic algorithm for unified approach-based predictive modeling of fatigue crack growth

Satish T. S. Bukkapatnam, K. Sadananda, S. Bukkapatnam, 2005 .

Automatic Identification of Rock Formation Type While Drilling Using Machine Learning Based Data-Driven Models

Eduardo Gildin, Samuel F. Noynaert, Zenon Medina-Cetina, 2021 .

Implementing the Transformation of Discrete Part Manufacturing Systems Into Smart Manufacturing Platforms

Satish T. S. Bukkapatnam, Zimo Wang, Natarajan Gautam, 2018, Volume 3: Manufacturing Equipment and Systems.

Effect of flax fiber orientation on machining behavior and surface finish of natural fiber reinforced polymer composites

Bruce L. Tai, Behrouz Takabi, S. Bukkapatnam, 2020, Journal of Manufacturing Processes.

Thermal Effects on Tribological Behavior in Machining Natural Fiber Composites

Bruce L. Tai, Behrouz Takabi, S. Bukkapatnam, 2018 .

Thermal effect on the tribo-mechanical behavior of natural fiber composites at micro-scale

S. Bukkapatnam, M. Mansori, Faissal Chegdani, 2020, Tribology International.

Time series forecasting for nonlinear and non-stationary processes: a review and comparative study

Satish T. S. Bukkapatnam, Zhenyu Kong, Trung Q. Le, 2015 .

Ultra-precision Machining Process Dynamics and Surface Quality Monitoring

Ranga Komanduri, Zimo Wang, Satish T. S. Bukkapatnam, 2015 .

Local recurrence based performance prediction and prognostics in the nonlinear and nonstationary systems

Hui Yang, Satish T. S. Bukkapatnam, Leandro G. Barajas, 2011, Pattern Recognit..

Effects of orifice shape in contour crafting of ceramic materials

Behrokh Khoshnevis, Satish T. S. Bukkapatnam, Hongkyu Kwon, 2002 .

Efficient manufacturing processes and performance qualification via active learning: Application to a cylindrical plunge grinding platform

Ashif Sikandar Iquebal, Bhaskar Botcha, Satish T.S. Bukkapatnam, 2021, Procedia Manufacturing.

A Dynamic Systems Approach for Detecting and Localizing of Infarct-Related Artery in Acute Myocardial Infarction Using Compressed Paper-Based Electrocardiogram (ECG)

Satish T. S. Bukkapatnam, Trung Q. Le, Vibhuthi Chandra, 2020, Sensors.

Multi-step sales forecasting in automotive industry based on structural relationship identification

Satish T. S. Bukkapatnam, Parameshwaran S. Iyer, Akkarapol Sa-ngasoongsong, 2012 .

Consistent Estimation of the Max-Flow Problem: Towards Unsupervised Image Segmentation

Ashif Sikandar Iquebal, Satish Bukkapatnam, S. Bukkapatnam, 2018, IEEE Transactions on Pattern Analysis and Machine Intelligence.

A Low-Cost, Portable, High-Throughput Wireless Sensor System for Phonocardiography Applications

Satish T. S. Bukkapatnam, Venkatesh Sarangan, Akkarapol Sangasoongsong, 2012, Sensors.

Unsupervised image segmentation via maximum a posteriori estimation of continuous max-flow pdf

Satish T. S. Bukkapatnam, Ashif Sikandar Iquebal, S. Bukkapatnam, 2018, ArXiv.

Surface plastic flow in polishing of rough surfaces

S. Bukkapatnam, A. Iquebal, D. Sagapuram, 2019, Scientific Reports.

Challenges and needs for automating nano image processing for material characterization

Satish T. S. Bukkapatnam, Yu Ding, Yu Ding, 2015, SPIE NanoScience + Engineering.

Longitudinal Milling and Fine Abrasive Finishing Operations to Improve Surface Integrity of Metal AM Components

S. Bukkapatnam, A. Iquebal, Zimo Wang, 2017 .

Misplaced item search in a warehouse using an RFID-based Partially Observable Markov Decision Process (POMDP) model

Satish T. S. Bukkapatnam, Sharethram Hariharan, S. Bukkapatnam, 2009, 2009 IEEE International Conference on Automation Science and Engineering.

A Dynamic Vehicle Portfolio Design Based on Prediction of Willingness-to-Pay of Vehicle Attributes: A Framework

S. Bukkapatnam, Akkarapol Sa-ngasoongsong, 2012 .

Graphitization as a precursor to wear of diamond in machining pure iron: A molecular dynamics investigation

Satish T. S. Bukkapatnam, Ranga Komanduri, Lionel M. Raff, 2009 .

Linear affine transformations between 3-lead (Frank XYZ leads) vectorcardiogram and 12-lead electrocardiogram signals.

Hui Yang, Ranga Komanduri, Drew Dawson, 2009, Journal of electrocardiology.

Optimal Slack Time for Schedule-Based Transit Operations

Satish T. S. Bukkapatnam, Maged M. Dessouky, Jiamin Zhao, 2006, Transp. Sci..

Ripple Formations Determine the Heterogeneous Microstructure of Directed Energy Deposition (Ded)-Printed 316l Components

S. Bukkapatnam, Himanshu Balhara, Bhaskar Botcha, 2023, Social Science Research Network.

A Review of the Anomalies in Directed Energy Deposition (DED) Processes & Potential Solutions - Part Quality & Defects

S. Bukkapatnam, Mathew Kuttolamadom, M. Liu, 2021, Procedia Manufacturing.

An algorithm for a near optimal NC path generation in staircase (Lase) traversal of convex polygonal surfaces

Satish T. S. Bukkapatnam, Sagar Kamarthi, S. Bukkapatnam, 2000 .

Automated Construction using Contour Crafting

B. Khoshnevis, H. Kwon, S. Bukkapatnam, 2001 .

Contour Crafting Utilizes Computer-Aided Ancient Sculpting Techniques for Fabrication of Large Components Contour Crafting Utilizes Computer-Aided Ancient Sculpting Techniques for Fabrication of Large Components

Satish T. S. Bukkapatnam, Behrokh Khoshnevis, Hongkyu Kwon, 2001 .

The internet of things for smart manufacturing: A review

Satish T. S. Bukkapatnam, Soundar Kumara, Fugee Tsung, 2019, IISE Trans..

Analysis of acoustic emission signals in machining

Satish T. S. Bukkapatnam, Akhlesh Lakhtakia, Soundar Kumara, 1999 .

Joint production and maintenance operations in smart custom-manufacturing systems

Satish T. S. Bukkapatnam, Jin Xu, Natarajan Gautam, 2019, IISE Trans..

Characterization and monitoring of nonlinear dynamics and chaos in manufacturing enterprise systems

Satish T. S. Bukkapatnam, Soundar Kumara, S. Bukkapatnam, 2007 .

Towards Performance Analysis of Manufacturing Systems Using Nonlinear Dynamic Principles

Satish T. S. Bukkapatnam, Shankar Earni, S. Bukkapatnam, 2006 .

Laser and Photonic Systems Integration: Emerging Innovations and Framework for Research and Education

Shimon Y. Nof, Avital Bechar, Juan P. Wachs, 2013 .

Neural Networks in Chemical Reaction Dynamics

Satish T. S. Bukkapatnam, Ranga Komanduri, Lionel M. Raff, 2012 .

Bidirectional Gated Recurrent Deep Learning Neural Networks for Smart Acoustic Emission Sensing of Natural Fiber–Reinforced Polymer Composite Machining Process

Bruce L. Tai, Behrouz Takabi, S. Bukkapatnam, 2020, Smart and Sustainable Manufacturing Systems.

Detection of sleep apnea events via tracking nonlinear dynamic cardio-respiratory coupling from electrocardiogram signals

Satish T. S. Bukkapatnam, Trung Q. Le, Kunal Karandikar, 2013, 2013 6th International IEEE/EMBS Conference on Neural Engineering (NER).

A phenomenological model of polishing of silicon with diamond abrasive

Satish T. S. Bukkapatnam, R. Komanduri, Lionel M. Raff, 2010 .

Experimental dynamics characterization and monitoring of MRR in oxide chemical mechanical planarization (CMP) process

R. Komanduri, Prahalad K. Rao, S. Bukkapatnam, 2008 .

A genetic algorithm for sequential part assignment for PCB assembly

Satish T. S. Bukkapatnam, Hongkyu Kwon, D. J. Medeiros, 2001 .

Protection against Counterfeiting Attacks in 3D Printing by Streaming Signature-embedded Manufacturing Process Instructions

S. Bukkapatnam, R. Karri, Nikhil Gupta, 2021, Proceedings of the 2021 Workshop on Additive Manufacturing (3D Printing) Security.

Nonlinear Dynamics Forecasting of Obstructive Sleep Apnea Onsets

S. Bukkapatnam, Trung Q Le, Satish T S Bukkapatnam, 2016, PloS one.

Experimental investigation of contour crafting using ceramics materials

Behrokh Khoshnevis, Satish T. S. Bukkapatnam, Hongkyu Kwon, 2001 .

Random Forests Are Able to Identify Differences in Clotting Dynamics from Kinetic Models of Thrombin Generation

Jayavel Arumugam, Krishna R Narayanan, K. Narayanan, 2016, PloS one.

On colors of stainless-steel surfaces polished with magnetic abrasives

S. Bukkapatnam, A. Lakhtakia, H. Yamaguchi, 2021 .

Towards Non-Contact Glucose Sensing in Aqueous Turbid Medium at ∼1.1 Meters Distance

S. Bukkapatnam, D. Piao, J. O’Hara, 2020, IEEE Photonics Journal.

Nonlinear Sequential Bayesian Analysis-Based Decision Making for End-Point Detection of Chemical Mechanical Planarization (CMP) Processes

R. Komanduri, Zhenyu Kong, O. Beyca, 2011, IEEE Transactions on Semiconductor Manufacturing.

Process Performance Prediction for Chemical Mechanical Planarization (CMP) by Integration of Nonlinear Bayesian Analysis and Statistical Modeling

Ranga Komanduri, Asil Oztekin, Zhenyu Kong, 2010, IEEE Transactions on Semiconductor Manufacturing.

Examining the structure validity of the Pittsburgh Sleep Quality Index

S. Bukkapatnam, N. Deutz, S. Woltering, 2018, Sleep and Biological Rhythms.

Examining the structure validity of the Pittsburgh Sleep Quality Index

S. Bukkapatnam, S. Woltering, Siqi Chen, 2018, Sleep and Biological Rhythms.

Parametrization of analytic interatomic potential functions using neural networks.

R Komanduri, M. Malshe, M. Hagan, 2008, The Journal of chemical physics.

Input vector optimization of feed-forward neural networks for fitting ab initio potential-energy databases.

R. Komanduri, M. Malshe, M. Hagan, 2010, The Journal of chemical physics.

Accurate prediction of higher-level electronic structure energies for large databases using neural networks, Hartree-Fock energies, and small subsets of the database.

R Komanduri, A. Pukrittayakamee, M. Malshe, 2009, The Journal of chemical physics.

A network pruning algorithm for combined function and derivative approximation

Arjpolson Pukrittayakamee, Martin Hagan, Lionel Raff, 2009, 2009 International Joint Conference on Neural Networks.

Prediction of molecular-dynamics simulation results using feedforward neural networks: reaction of a C2 dimer with an activated diamond (100) surface.

M. Hagan, L. Raff, R. Komanduri, 2005, The Journal of chemical physics.

Identification of myocardial infarction (MI) using spatio-temporal heart dynamics.

Hui Yang, Ranga Komanduri, Trung Le, 2012, Medical engineering & physics.

Monte Carlo simulation of carbon nanotube nucleation and growth using nonlinear dynamic predictions

Satish T. S. Bukkapatnam, Ranga Komanduri, Lionel M. Raff, 2012 .

Inferring sparse networks for noisy transient processes

Hoang M. Tran, Satish T.S. Bukkapatnam, S. Bukkapatnam, 2016, Scientific Reports.

Artificial neural network to predict the refractive index of a liquid infiltrating a chiral sculptured thin film

Satish T. S. Bukkapatnam, Akhlesh Lakhtakia, Patrick D. McAtee, 2018, NanoScience + Engineering.

Explainable AI (XAI)-driven vibration sensing scheme for surface quality monitoring in a smart surface grinding process

S. Bukkapatnam, S. Kumara, A. Srivastava, 2023, Journal of Manufacturing Processes.

In-situ surface porosity prediction in DED (directed energy deposition) printed SS316L parts using multimodal sensor fusion

S. Bukkapatnam, A. Lianos, A. Karthikeyan, 2023, ArXiv.

HOPF BIFURCATION IN MACHINING

S. Bukkapatnam, M. Fofana, 2000 .

Towards Characterizing the Microdynamics of AE Generation in Machining

Satish T. S. Bukkapatnam, Ding-Chen Chang, S. Bukkapatnam, 2004 .

Chaotic neurons for on-line quality control in manufacturing

Satish T. S. Bukkapatnam, Akhlesh Lakhtakia, Soundar Kumara, 1997 .

The concept of chaos theory based optimal cutting tool chatter control

Satish T. S. Bukkapatnam, Akhlesh Lakhtakia, Soundar Kumara, 1995, Other Conferences.

Dependence of computed trajectory on step-size in a nonlinear dynamic system: an investigation into cutting tool dynamics

Akhlesh Lakhtakia, Soundar Kumara, Satishmohan T. Bukkapatnam, 1995 .

Experimental Characterization of Nonlinear Dynamics Underlying the Cylindrical Grinding Process

Satish T. S. Bukkapatnam, Rajkumar Palanna, S. Bukkapatnam, 2004 .

Local eigenfunctions based suboptimal wavelet packet representation of contaminated chaotic signals

Satish T. S. Bukkapatnam, Akhlesh Lakhtakia, Soundar Kumara, 1999 .

Process-Machine Interaction (PMI) Modeling and Monitoring of Chemical Mechanical Planarization (CMP) Process Using Wireless Vibration Sensors

Ranga Komanduri, Satish T. S. Bukkapatnam, Prahalad K. Rao, 2014, IEEE Transactions on Semiconductor Manufacturing.

Additive Manufacturing Cyber-Physical System: Supply Chain Cybersecurity and Risks

Ramesh Karri, Nikhil Gupta, Satish T. S. Bukkapatnam, 2020, IEEE Access.

Continuous flow modelling of multistage assembly line system dynamics

Hui Yang, Satish T. S. Bukkapatnam, Leandro G. Barajas, 2013, Int. J. Comput. Integr. Manuf..

Change Detection and Prognostics for Transient Real-World Processes Using Streaming Data

Satish T. S. Bukkapatnam, Ashif Sikandar Iquebal, S. Bukkapatnam, 2018, Recent Advances in Optimization and Modeling of Contemporary Problems.

Balanced Random Survival Forests for Extremely Unbalanced, Right Censored Data pdf

Satish T. S. Bukkapatnam, Kahkashan Afrin, Sanjay S. Srivatsa, 2018, ArXiv.

Wireless sensing of flow-induced vibrations for pipeline integrity monitoring

R. Komanduri, A. Awawdeh, S.T.S. Bukkapatnam, 2006, Fourth IEEE Workshop on Sensor Array and Multichannel Processing, 2006..

Spatiotemporal representation of cardiac vectorcardiogram (VCG) signals

Hui Yang, Ranga Komanduri, Satish TS Bukkapatnam, 2012, Biomedical engineering online.

Machine learning and AI for long-term fault prognosis in complex manufacturing systems

Satish T. S. Bukkapatnam, Soundar Kumara, Kahkashan Afrin, 2019, CIRP Annals.

Simultaneous 12-Lead Electrocardiogram Synthesis using a Single-Lead ECG Signal: Application to Handheld ECG Devices pdf

Satish T. S. Bukkapatnam, Kahkashan Afrin, Sanjay S. Srivatsa, 2018, ArXiv.

Heterogeneous Sensor Data Fusion Approach for Real-time Monitoring in Ultraprecision Machining (UPM) Process Using Non-Parametric Bayesian Clustering and Evidence Theory

Satish T. S. Bukkapatnam, Ranga Komanduri, Zhenyu James Kong, 2016, IEEE Transactions on Automation Science and Engineering.

EBLIME: Enhanced Bayesian Local Interpretable Model-agnostic Explanations

A. Bhattacharya, S. Bukkapatnam, Yuhao Zhong, 2023, ArXiv.

A Survey of Cybersecurity of Digital Manufacturing

Ramesh Karri, A. L. Narasimha Reddy, Priyanka Mahesh, 2020, Proceedings of the IEEE.

Linear affine transformations between 3-lead (Frank XYZ leads) vectorcardiogram and 12-lead electrocardiogram signals.

M. Malshe, R. Komanduri, S. Bukkapatnam, 2009, Journal of electrocardiology.

Topology and Random-Walk Network Representation of Cardiac Dynamics for Localization of Myocardial Infarction

Satish T. S. Bukkapatnam, Ranga Komanduri, Trung Q. Le, 2013, IEEE Transactions on Biomedical Engineering.

Wireless wearable multi-sensory system for monitoring of sleep apnea and other cardiorespiratory disorders

Satish T. S. Bukkapatnam, Trung Q. Le, Woranat Wongdhamma, 2013, 2013 IEEE International Conference on Automation Science and Engineering (CASE).

Classification of atrial fibrillation episodes from sparse electrocardiogram data.

Hui Yang, Ranga Komanduri, Satish Bukkapatnam, 2008, Journal of electrocardiology.

Detecting changes in transient complex systems via dynamic network inference

Satish T. S. Bukkapatnam, Mridul Garg, Hoang Minh Tran, 2019, IISE Trans..

Consistent Estimation of the Max-Flow Problem: Towards Unsupervised Image Segmentation

S. Bukkapatnam, A. Iquebal, 2018, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Dirichlet Process Gaussian Mixture Models for Real-Time Monitoring and Their Application to Chemical Mechanical Planarization

Satish T. S. Bukkapatnam, Zhenyu James Kong, Omer F. Beyca, 2017, IEEE Transactions on Automation Science and Engineering.

Towards virtual instruments for cardiovascular healthcare: Real-time modeling of cardiovascular dynamics using ECG signals

Satish T. S. Bukkapatnam, Ranga Komanduri, Trung Q. Le, 2010, 2010 IEEE International Conference on Automation Science and Engineering.

Dynamic Modeling and Monitoring of Contour Crafting—An Extrusion-Based Layered Manufacturing Process

Satish T. S. Bukkapatnam, Ben Clark, S. Bukkapatnam, 2007 .

Fitting a Function and Its Derivative

A. Pukrittayakamee, M. Hagan, L. Raff, 2007 .

A Survey of Cybersecurity and Resilience of Digital Manufacturing pdf

Ramesh Karri, Panganamala Ramana Kumar, Satish T. S. Bukkapatnam, 2020, ArXiv.

Accurate prediction of higher-level electronic structure energies for large databases using neural networks, Hartree-Fock energies, and small subsets of the database.

A. Pukrittayakamee, M. Malshe, M. Hagan, 2009, The Journal of chemical physics.

A Review of the Anomalies in Directed Energy Deposition (DED) Processes and Potential Solutions

Abhishek Kumar, Michael Liu, Satish Bukkapatnam, 2020, 2009.11385.

Towards Prediction of Nonlinear and Nonstationary Evolution of Customer Preferences Using Local Markov Models

Satish T. S. Bukkapatnam, Hui Yang, S. Bukkapatnam, 2009 .