|
Dongping Du PhD, University of South Florida Associate
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
~
Congrats! A paper entitled “Gaussian Process Latent Variable Model-Based
Multi-Output Modeling of Incomplete Data” from Dr. Du’s
group has been accepted for publication by IEEE Transactions on Automation
Science and Engineering
~
Congrats! A team from Dr. Du’s simulation class
(IE4316/IE5316) won the 3rd place in the Simio
student simulation competition. Link
~ Congrats! Dr. Adib Zaman, a former graduate
from Dr. Du’s Lab, accepted a tenure-track position
in the school of Information Technology at the University of Cincinnati.
~
January 2023, Welcome Dan Ni Lin joining Dr. Du’s research
group.
~ Congrats! Dr. Du’s
collaborative work entitled “Risk Prediction Model for Survival of Wait-List
Patients on Axial CF-LVAD: A UNOS Database Analysis” has been published on Transplantation
Proceedings.
~ Congrats! Sagar Chhetri published his
dissertation work “Project Portfolio Reliability: A Bayesian Approach for LeAgile Projects” on the Engineering Management Journal.
·
Reliability analysis and risk assessment
·
Machine
Learning and Applied Statistics
·
Biomedical
informatics and computational cardiology
·
Modeling
and simulation of dynamic systems
·
Uncertainty
quantification and propagation
·
Applications: Healthcare, Manufacturing, and
Education
Hu,
Z.
*, Wang, C., Wu, J., Du, D.
Gaussian Process Latent Variable Model-Based Multi-Output Modeling of Incomplete
Data. IEEE Transactions on Automation Science and Engineering, accepted, 2023
Nair,
N., Du, D., Hu, Z.
*, Gongora, E. Risk Prediction
Model for Survival of Wait-List Patients on Axial CF-LVAD: A UNOS Database
Analysis. Transplantation Proceedings, 54(7), 1894-1901.
Nair,
N., Hu, Z.*, Du, D., Gongora, E., “Risk prediction model for basal cell carcinoma
in cardiac allograft recipients”, World Journal of Transplantation, 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, 2021.
Chhetri,
S. B.*, Du, D., “Project Portfolio Reliability: A Bayesian approach for LeAgile project”, Engineering Project Management,
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
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
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
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
IE5319 Risk Modeling and Assessment
IE5345 Reliability Theory
IE3244 Engineering Data Analysis
IE5331 Introduction to Data Science
IE4316 Simulation Systems Modeling
IE4316 Simulation Models for Operation
Analysis
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