Peer-Reviewed Conference Proceedings

2019

1. Hilliard M., He Q.P. and Wang J. (2019), Dynamic Transcriptomic Data Reveal Unexpected Regulatory Behavior of Scheffersomyces stipitis, Proceedings of 12th Dynamics and Control of Process Systems (DYCOPS 2019), Apr. 23-26, 2019, Florianópolis, BRAZIL, 538-543;

2. Bahr K.*, Hilliard M., Roberts N.*, He Q.P. and Wang J. (2019), Photoautotroph-Methanotroph Coculture – A Flexible Platform for Efficient Biological CO2-CH4 Co-utilization, Proceedings of 12th Dynamics and Control of Process Systems (DYCOPS 2019), Apr. 23-26, 2019, Florianópolis, BRAZIL, 916-921;

3. Hilliard M., He Q.P. and Wang J. (2019), Interplay of Shadow Price, Phenotype and Alternative Optimal Solutions in Flux Balance Analysis, Proceedings of 12th Dynamics and Control of Process Systems (DYCOPS 2019), Apr. 23-26, 2019, Florianópolis, BRAZIL, 76-81;

4. Shah D.*, Wang J. and He Q.P. (2019), An Internet-of-things Enabled Smart Manufacturing Testbed, Proceedings of 12th Dynamics and Control of Process Systems (DYCOPS 2019), Apr. 23-26, 2019, Florianópolis, BRAZIL, 562-567;

2018

1. Otali, D., Mullen, M., He, Q.P., Oelschlager, D., & Grizzle, W. E. (2018). Effects of fixation and antigen retrieval on the RNA integrity number. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018. AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 862.

2017

1. He Q. P., & Wang J. (2017). Statistical process monitoring in the era of smart manufacturing. In 2017 American Control Conference (ACC) (pp. 4797-4802). IEEE.;

2. Shah D.*, Hancock A., Skjellum A., Wang, J.# & He, Q.P.# (2017). Challenges and Opportunities for Iot-enabled Cybermanufacturing: Some Initial Findings from an Iot-enabled Manufacturing Technology Testbed. Proceedings of Foundations of Computer Aided Process Operations / Chemical Process Control 2017. Paper #66

3. Stone K., Shah D.*, He Q.P.# and Wang J.# (2017), A Novel Soft Sensor Approach for Estimating Individual Biomass in Mixed Cultures, Proceedings of 2017 American Control Conference, Seattle, WA, 4797-4802;

2016 and before

1. Damiani A, Stone K., He Q.P., & Wang J. (2015), A system identification enhanced phenotype phase plane analysis, Proceedings of Foundations of Systems Biology in Engineering 2015, paper #27;

2. Wang J., He Q.P., & Damiani A (2015), A system identification based framework for genome-scale metabolic network model validation and refinement, Proceedings of Foundations of Systems Biology in Engineering 2015, paper #26;

3. Wang Z., He Q.P., & Wang J. (2014), Comparison of different variable selection methods for partial least squares soft sensor development, Proceedings of 2014 American Control Conference, 3116-3121.

4. Wang J., He Q.P., & Edgar T.E. (2013), Improved state estimation for high-mix semiconductor manufacturing, Proceedings of 2013 American Control Conference, 6664-6669.

5. He Q.P. & Wang J. (2013), Quantification of valve stiction based on a semi-physical model, Proceedings of 2013 American Control Conference, 4368-4373.

6. Liang M., He Q.P., Jeffries T.W. & Wang J. (2013), Elucidating xylose metabolism of Scheffersomyces stipitis by integrating principal component analysis with flux balance analysis, Proceedings of 2013 American Control Conference, 3783-3788.

7. He Q.P., Zhang R., Wang J., Armstead III F., Walburn R., Taylor J.L., Johnson D.R., (2013) A Modular Approach of Integrating Biofuel Education into Chemical Engineering Curriculum, Proceedings of 2013 ASEE annual conference, Paper ID # 7518.

8. He Q.P., Wang J., Walburn R., Johnson D.R., (2013) Education On Biofuels Technology In Chemical Engineering, Proceedings of Hawaii University International Conferences On Education & Technology, Paper #11.

9. Liang M., Kim M.H., He Q.P. & Wang J. (2012), Metabolic network analysis of xylose metabolism by Scheffersomyces stipitis, Proceedings of Sun Grant Initiative 2012 National Conference.

10. Kim M.H., Liang M., He Q.P. & Wang J. (2012), Simultaneous fermentation of glucose and xylose by co-culture in a novel bioreactor, Proceedings of Sun Grant Initiative 2012 National Conference.

11. He Q.P., Wang J., Galicia H.J., Stuber J. and Gill B. (2012), Statistics Pattern Analysis based Virtual Metrology for Plasma Etch Processes, Proceedings of 2012 American Control Conference, 4897-4902.

12. Galicia H.J., He Q.P. & Wang J. (2012), Adaptive Kappa Number Prediction via Reduced-Order Dynamic PLS Soft Sensor for the Control of a Continuous Kamyr Digester, Proceedings of Control Systems 2012, 421-435.

13. Otali, D., He, Q. P., Stockard, C.R., and Grizzle, W.E. (2012) “Preservation of immunorecognition by the transfer of cells from 10% neutral buffered formalin to 70% ethanol.” (2012): 3189-3189. In: Proceedings of the 103rd Annual Meeting of the American Association for Cancer Research

14. Galicia H.J., He Q.P. & Wang J. (2011), Statistics Pattern Analysis based fault detection and diagnosis. Proceedings of Chemical Process Control VIII. Paper #55.

15. Galicia H.J., He Q.P. & Wang J. (2011), A Bayesian supervisory approach of outlier detection for recursive soft sensor update. Proceedings of Chemical Process Control VIII. Paper #54.

16. Galicia H.J., He Q.P. & Wang J. (2011), Recursive update of a reduced-order dynamic PLS soft sensor and its application to digester control. Proceedings of 2011 ISA Automation Week. Paper Number: 0040-000115.

17. Galicia H.J., He Q.P. & Wang J. (2011), Statistics Pattern Analysis – fault detection and diagnosis. Proceedings of 2011 ISA Automation Week. Paper Number: 0040-000116.

18. He Q.P. and Wang J. (2010), Valve stiction modeling: first-principles vs data-drive approaches, Proceedings of 2010 American Control Conference, 3777-3782.

19. He Q.P. and Wang J. (2010), Comparison of a new spectrum alignment algorithm with other methods, Proceedings of 2010 American Control Conference, 1260-1265.

20. Wang J., He Q.P. and Edgar T.F. (2010), Control Performance Assessment and Diagnosis for Semiconductor Processes, Proceedings of 2010 American Control Conference, 7004-7009.

21. He Q. P. and Wang J. (2008), Principal component based k-nearest neighbor rule for semiconductor process fault detection, Proceedings of 2008 American Control Conference, 1606-1611.

22. Wang J. and He Q.P. (2008), EWMA Run-to-Run Controllers with Gain Updating: Stability and Sensitivity Analysis, Proceedings of 2008 American Control Conference, 2872-2877.

23. He Q.P. and Wang J. (2008), Automatic quantification of control valve stiction based on data-driven models, in Proceedings of Symposium on Advanced Control of Industrial Processes (ADCONIP 2008), 347-352.

24. Wang J. and He Q.P. (2008), A Practical Solution for Continuous Digester Control – Subspace Identification based Inferential Control Revisited, in Proceedings of Symposium on Advanced Control of Industrial Processes (ADCONIP 2008), 433-438.

25. Wang J., He Q.P. and Edgar T.F. (2007), A general framework for state estimation in high-mix semiconductor manufacturing, Proceedings of 2007 American Control Conference, 3636-3641.

26. He Q.P. (2006), Multivariate visualization techniques in statistical process monitoring and their applications in semiconductor manufacturing, Proceedings of SPIE’s International Symposium on Data Analysis and Modeling for Patterning Control III, Vol. 6155, p 615506

27. Wang J. & He Q.P. (2005), A new run-to-run method for oxide CMP processes, Proceedings of SPIE’s International Symposium on advanced microelectronic manufacturing, Vol. 5755, 9 – 17.

28. Wang J. & He Q.P. (2005), An overlapping receding horizon approach to reduce delay of disturbance detection and classification using Bayesian statistics, Proceedings of 2005 International Symposium on Semiconductor Manufacturing, 402 – 405.

29. He Q.P., Qin S.J. & Toprac A. (2003), Computationally efficient modeling of wafer temperatures in an LPCVD furnace, Proceedings of SPIE’s International Symposium on Advanced Process Control and Automation, Vol. 5044, 97 – 108