News

~ 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 3^rd 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.

More news

Research Interests

· 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

Publications GoogleScholar, ResearchGate

Journal Publications

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

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

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”, 10^th 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

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

IE5345 Reliability Theory

IE3244 Engineering Data Analysis

IE5331 Introduction to Data Science

IE4316 Simulation Systems Modeling

IE4316 Simulation Models for Operation Analysis

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