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Dongping Du

PhD, University of South Florida

Assistant Professor

Department of Industrial, Manufacturing and Systems Engineering

Texas Tech University

PO Box 43061

Lubbock, TX  79409

Tel: 806-834-7388

Fax: 806-742-3411

E-mail: dongping.du@ttu.edu

 

Complex System Modeling, Control, and Optimization Laboratory

News

~ Sept. 2020, Welcome Henry Johnston joining Dr. Du’s research group.

~ June 2020, Zhiyong’s paper “A two-stage model identification method for simulation of electrical wave propagation in heart tissue” is accepted by IEEE Access.

~ June 2020, Dr. Du received $53,428 supplemental funding for Data Science Activities from NSF CMMI division.

~ Zhiyong’s paper entitled "Prediction of Heart Failure Readmission using Gaussian Process Latent Variable Model and Constrained Support Vector Machine” has been selected as one of the four finalists for the DAIS best student paper competition at 2020 IISE Annual conference.

~ Feb 2020, Adib’s paper “Modeling the density gradient of 3D nanofiber scaffolds fabricated by divergence electrospinning” is accepted by Advances in Manufacturing

~Jan 2020, Welcome Kuo Chun Chiu joining Dr. Du’s research group.

~Oct 2019, Congrats! Zhiyong won the first place in the QSR Student Poster Competition in the Annual INFORMS Meeting 2019

~July 2019, Amir’s paper “A Novel Motion Artifact Removal Method Via Joint Basis Pursuit Linear Program to Accurately Monitor Heart Rate” is accepted by IEEE Sensors Journal. Congratulations to Amir!

More news

Research Interests

·         Machine Learning and Big Data analytics

·         Financial data mining, analysis and optimization

·         Reliability analysis and risk assessment

·         Modeling and simulation of dynamic systems

·         Uncertainty quantification and propagation

·         Biomedical informatics and computational cardiology

·         Applications: Finance, Healthcare, Manufacturing, and Education

Publications GoogleScholar, ResearchGate

Journal Publications

Nair, N., Hu, Z.*, Du, D., Gongora, E., “Risk prediction model for basal cell carcinoma in cardiac allograft recipients”, World Journal of Transplantation, 2021.

Son, J., Du, D., and Du, Y., “Modified polynomial chaos expansion for lognormal uncertainty propagation and its application in structural reliability analysis”, Mechanical Systems and Signal Processing, under revision, 2021.

Nair, N., Hu, Z.*, Du, D., Gongora, E., “Risk prediction model for cutaneous SCC in cardiac allograft recipients”, Transplantation Proceedings, 2021.

Chhetri, S. B.*, Du, D., “Continual learning with Bayesian approach for evolving baselines of LeAgile project portfolio”, International Journal of Information Systems and Project Management, 2020.

Chhetri, S. B.*, Du, D., “Project Portfolio Reliability: A Bayesian approach for LeAgile project”, Engineering Project Management, under review, 2020.

Xing, W., Du, D., Chiu, K.*, Bakhshi, A.*, “Design Transferable Prediction Model using Bayesian Updating Approach”, IEEE Transactions on Education, minor revision, 2020.

Hu, Z.*, Du, D., “Heart Failure readmission prediction: a new analytical framework for missing data imputation and classification with uncertainty”, PloS one, 2020. DOI: 10.1371/journal.pone.0237724

Son, J., Du, D., Du, Y. “Modified Polynomial Chaos Expansion for Efficient Uncertainty Quantification in Biological Systems”, Applied Mechanics, Vol. 1, Issue 2, pp. 153-173, 2020. DOI: 10.3390/applmech1030011

Hu, Z.*, Du, Y., Du, D., “A two-stage model identification method for simulation of electrical wave propagation in heart tissue”, IEEE Access, Vol. 8, pp. 123524 - 123535, 2020. DOI: 10.1109/ACCESS.2020.3005898

Koneshloo, A.*, Du, D., “A uncertainty modeling framework for intracardiac electrogram analysis”, Bioengineering, Vol. 7, Issue 2, 2020. DOI: 10.3390/bioengineering7020062

Son, J., Du, D., Du, Y. “Modelling and control of a failing heart managed by a left ventricular assist device”, Biocybernetics and Biomedical Engineering, Vol. 40, Issue 1, pp. 559-73, 2020. DOI: 10.1016/j.bbe.2020.01.014

Zaman, M. A.*, Sooriyaarachchi, D., Zhou Y., Tan, G. Z., Du, D., “Modeling the density gradient of 3D nanofiber scaffolds fabricated by divergence electrospinning”, Advances in Manufacturing, 2020. DOI: 10.1007/s40436-020-00307-0

A. Koneshloo*, D. Du, “A Novel Motion Artifact Removal Method Via Joint Basis Pursuit Linear Program to Accurately Monitor Heart Rate”, IEEE Sensors Journal, 2019. DOI: 10.1109/JSEN.2019.2927994

Liu, Z., Zhang, HC., Peng, S., Kim, H., Du, D., Cong, W., “Analytical modeling and experimental validation of powder stream distribution during direct energy deposition”, Vol. 30, 2019. DOI: 10.1016/j.addma.2019.100848

Son, J., Du, D., Du, Y., “Stochastic Modeling and Dynamic Analysis of the Cardiovascular System with Rotary Left Ventricular Assist Devices”, Mathematical Problems in Engineering, Vol. 2019, pp. 1-18, 2019. DOI: 10.1155/2019/7179317

Z. Hu*, D. Du, “Efficient Uncertainty Quantification and Propagation in Multi-scale Modeling of Cardiac Electrophysiology”, Computers in Biology and Medicine, 2018. DOI: 10.1016/j.compbiomed

Y. Du, H. Budman, T. A. Duever, D. Du, “Fault Detection and Diagnosis for Nonlinear Chemical Process using Lasso and Gaussian Process. Industrial & Engineering Chemistry Research, 2018. DOI: 10.1021/acs.iecr.8b01110

Y. Du, D. Du, “Fault Detection and Diagnosis using Empirical Mode Decomposition based Principal Component Analysis”, Computers and Chemical Engineering, 2018. DOI: 10.1016/j.compchemeng.2018.03.022

D. Du, H. Yang, S. A. Norring, and E. S. Bennett, “In-silico Modeling of the Functional Role of Reduced Sialylation in Sodium and Potassium Channel Gating of Mouse Ventricular Myocytes,” IEEE Journal of Biomedical and Health Informatics (Featured Article), Vol 22, No. 2, 2017. DOI: 10.1109/JBHI.2017.2664579

W. Xing, D. Du, “Dropout Prediction in MOOCs: Using Deep Learning for Personalized Intervention”. Journal of Educational Computing Research, 2018. DOI: 10.1177/0735633118757015

H. Wang, F. Ning, Y. Hu, D. Du, W. Cong, “Surface Grinding of CFRP Composites Using Rotary Ultrasonic Machining: Design of Experiment on Cutting Force, Torque and Surface Roughness”. International Journal of Manufacturing Research, 12(4), 461-479, 2017. DOI: 10.1504/IJMR.2017.10008389

D. Du, H. Yang, A. R. Ednie, and E. S. Bennett, “Statistical Metamodeling and Sequential Design of Computer Experiments to Model Glyco-altered Gating of Sodium Channels in Cardiac Myocytes”, vol. 20, issue 5, p. 1439-52, IEEE Journal of Biomedical and Health Informatics, 2016. DOI: 10.1109/JBHI.2015.2458791

D. Du, H. Yang, S. A. Norring, and E. S. Bennett, “In-Silico Modeling of Glycosylation Modulation Dynamics In HERG Channels and Cardiac Electrical Signaling,” IEEE Journal of Biomedical and Health Informatics (Featured Article), Vol. 18, No. 1, 2013. DOI: 10.1109/JBHI.2013.2260864

S. A. Norring, A. R. Ednie, T. A. Schwetz, D. Du, H. Yang and E. S. Bennett, “Channel Sialic Acids Limit hERG Channel Activity During the Ventricular Action Potential,” The FASEB Journal, vol. 27, issue 2, p. 622-631, 2013. DOI: 10.1096/fj.12-214387

* Student advised

Conference Proceedings

Chiu, K., Du, D., Nair, N., Du, Y., “Deep Neural Network-Based Survival Analysis for Skin Cancer Prediction in Heart Transplant Recipients”, submitted to 43nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), EMBS Virtual Academy, 2021, Link.

Liao, Y., Xiang, Y., Du, D., “Automatic classification of heartbeats using ECG signals via higher order hidden Markov model”, IEEE International Conference on Automation Science and Engineering (CASE) 2020, a Virtual Conference

Hu, Z.*, Du, Y., Du, D., “Gaussian process-based spatiotemporal modeling of electrical wave propagation in human atria”. 2020 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), EMBS Virtual Academy, 2020.

Son`, J., Du, D., Du, Y., “Control of a rotary blood pump based on trade-off between aortic valve dynamics and cardiac outputs”, 2020 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), EMBS Virtual Academy, 2020.

D. Du, Z. Hu*, Y. Du, “Model Identification and Physical Exercise Control using Nonlinear Heart Rate Model and Particle Filter”, International Conference on Automation Science and Engineering (CASE), Vancouver Canada, 2019.

H. Yan, X. Zhao, Z. Hu*, D. Du, “Physics-based Deep Spatio-temporal Metamodeling for Cardiac Electrical Conduction Simulation”, International Conference on Automation Science and Engineering (CASE), Vancouver Canada, 2019.

L. Zhu*, D. Du, “Heart Rate Tracking Using Multiple Wrist-type Photoplethysmography during Physical Activities via Joint Sparse Spectrum Reconstruction”, 2018 IEEE Engineering in Medicine and Biology Society Conference (EMBC), Honolulu, HI, July, 2018.

J. Son, Y. Du, D. Du, “Propagation of Parametric Uncertainty in Aliev-Panfilov Model of Cardiac Excitation”, 2018 IEEE Engineering in Medicine and Biology Society Conference (EMBC), Honolulu, HI, July, 2018.

Y. Du, D. Du, “Robust Control Design of Heart Rate Response during Treadmill Exercise under Parametric Uncertainty”, 2018 IEEE Engineering in Medicine and Biology Society Conference (EMBC), Honolulu, HI, July, 2018.

Y. Du, D. Du, “Fault Detection Using Empirical Mode Decomposition Based PCA and CUSUM with Application to the Tennessee Eastman Process”, 10th IFAC International Symposium on Advanced Control of Chemical Process, Shenyang, China, July, 2018.

Koneshloo, A.*, D. Du, “Coronary Heart Disease Diagnosis Using Kernel PCA and Adaptive Boosting”, Proceedings of the 2018 IISE Annual Conference, Orlando, May, 2018.

Y. Du, D. Du, “Cardiac Image Segmentation Using Generalized Polynomial Chaos Expansion and Level Set Function,” Proceedings of 2017 IEEE Engineering in Medicine and Biology Society Conference (EMBC), Jeju, Korean, 11-15 July. 2017.

D. Du, Y. Du, “Global Sensitivity Analysis for developing biological models: Application to K+ channel Model in Mouse Ventricular Myocytes,” Proceedings of 2016 IEEE Engineering in Medicine and Biology Society Conference (EMBC), Jeju, Korean, 11-15 July. 2017.

Y. Du, D. Du, “Propagation of Parametric Uncertainty for The K+ Channel Model In Mouse Ventricular Myocytes,” Proceedings of 2016 IEEE Engineering in Medicine and Biology Society Conference (EMBC), Orlando, FL, 6-20 Aug. 2016.

D. Du, Y. Du, “Detection of Propagating Directions of Electrical Wavefront in Atrial Fibrillation,” Proceedings of 2016 IEEE Engineering in Medicine and Biology Society Conference (EMBC), Orlando, FL, 6-20 Aug. 2016.

D. Du, H. Yang, S. A. Norring, and E. S. Bennett, “Multiscale Modeling of Glycosylation Modulation Dynamics in Cardiac Electrical Signaling,” Proceedings of 2011 IEEE Engineering in Medicine and Biology Society Conference (EMBC), p.104-107, Boston, MA, August, 2011. (IBM Best Paper Award).

D. Yu, D. Du, H. Yang, and Y. Tu, “Parallel Computing Simulation of Electrical Excitation and Conduction in the 3D Human Heart,” Proceedings of 2014 IEEE Engineering in Medicine and Biology Society Conference (EMBC), p.4315-4319, Chicago, IL, Sept., 2014.

* Student advised

Abstracts on Medical Journals

Nair, N., Du, D., Hu, Z.*, & Gongora, E., “Risk prediction model for basal cell carcinoma in cardiac allograft recipients”, The Journal of Heart and Lung Transplantation, Vol. 39, Issue 4, pp. S128, 2020.

Nair, N., Du, D., Hu, Z.*, & Gongora, E., “Does diabetes influence post-transplant survival in CF-axial LVAD BTT Patients?”, The Journal of Heart and Lung Transplantation, Vol. 39, Issue 4, pp. S282, 2020.

Nair, N., Du, D., Hu, Z.*, & Gongora, E., “Risk prediction model for cutaneous SCC in cardiac allograft recipients”, The Journal of Heart and Lung Transplantation, Vol. 39, Issue 4, pp. S281, 2020.

* Student advised

Courses

IE5319 Risk Modeling and Assessment, Spring, 2016, 2017, 2018, Fall 2019

IE5345 Reliability Theory, Fall, 2016, 2017, 2018, 2020

IE3244 Engineering Data Analysis, Spring 2019, 2020

IE5331 Engineering Data Analytics, Spring 2021

 

Activities

Honors and Awards

IBM Best Paper Award (the 1st place) in the 33th Annual International Conference of IEEE Engineering in Medicine and Biology Society (EMBC), 2011

Featured Article by IEEE Journal of Biomedical and Health Informatics, 2014, 2018

The 1st Place in CIEADH Doctoral Colloquium Poster Competition, IIE Annual Conference 2014

Entrepreneurial Lead of NSF I-Corps Team for market research and commercialization of the Mobile and E-Network Smart Health Care (MESH) technology, 2014

Distinguished Graduate Student in the Envision Magazine of College of Engineering at the University of South Florida (1 selected/year), 2014.

The 2nd Place in IIE Mobile App Competition for MESH software development in the IOS platform, IIE Annual Conference, 2014

Semifinalist, MIF Student Poster Competition, INFORMS Annual Meeting, San Francisco,2014

Outstanding Dissertation Fellowship, University of South Florida, 2014-2015