Peer-Reviewed Journal Articles

Badr K., Whelan W., He Q.P. & Wang J. (2020), Fast and Easy Quantitative Characterization of Methanotroph-Photoautotroph Cocultures, under review;

Roberts N., Hilliard M., He Q.P. & Wang J. (2020), A microalgae-methanotroph coculture platform to convert wastewater into microbial biomass for fuels and chemical production, Frontiers in Energy Research, Vol. 8, Article 563352.
(available here)

He Q.P. & Wang J. (2020), Application of systems engineering principles and techniques in biological big data analytics: a review, Processes, 8(8), 951;
(available here)

Stone K., Hilliard M., Badr K., Bradford A., He Q.P., & Wang J. (2020), Comparative study of oxygen-limited and methane-limited growth phenotypes of Methylomicrobium buryatense 5GB1, Biochemical Engineering Journal, 161, 15, 1-13;
(available here)

Shah, D., Wang, J., & He, Q. P. (2020). Feature Engineering in Big Data Analytics for IoT-Enabled Smart Manufacturing–Comparison between Deep Learning and Statistical Learning, Computers & Chemical Engineering, 106970.
(available here)

Suthar K., Shah D., Wang J. & He Q.P. (2019), Next-generation virtual metrology for semiconductor manufacturing: A feature-based framework. Computers & Chemical Engineering, 127, pp.140-149.
(available here)

He Q.P., Wang J., & Shah D. (2019), Feature Space Monitoring for Smart Manufacturing via Statistics Pattern Analysis, Computers and Chemical Engineering, 126, 321-331.
(available here)

Shah D., Wang J. & He Q.P. (2019), A feature-based soft sensor for spectroscopic data analysis, Journal of Process Control, 78, 98-107
(available here)

Stone, K.A., He, Q.P. & Wang, J. (2019). Two Experimental Protocols for Accurate Measurement of Gas Component Uptake and Production Rates in Bioconversion Processes. Sci Rep 9, 5899. https://doi.org/10.1038/s41598-019-42469-3
(available here)

Badr 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, IFAC-PapersOnLine, 52 (1), 916-921;
(available here)

Hilliard M., He Q.P. and Wang J. (2019), Dynamic Transcriptomic Data Reveal Unexpected Regulatory Behavior of Scheffersomyces stipitis, IFAC-PapersOnLine, 52(1), 538-543;
(available here)

Hilliard M., He Q.P. and Wang J. (2019), Interplay of Shadow Price, Phenotype and Alternative Optimal Solutions in Flux Balance Analysis, IFAC-PapersOnLine, 52(1), 76-81;
(available here)

Shah D., Wang J. and He Q.P. (2019), An Internet-of-things Enabled Smart Manufacturing Testbed, IFAC-PapersOnLine, 52(1), 562-567;
(available here)

Hilliard M., Damiani A., He Q.P., Jeffries T.W. & Wang J. (2018), Elucidating The Redox Balance Shift in Scheffersomyces stipitis’ Fermentative Metabolism Using A Modified Genome-Scale Metabolic Model, Microbial Cell Factories, 17(1):140. doi: 10.1186/s12934-018-0983-y.
(
available here)

He Q.P. & Wang J. (2018), Statistics process monitoring as a Big Data analytics tool for smart manufacturing, Journal of Process Control, 67, 35 – 43
(available here)

Hilliard M., Damiani A., He Q.P. & Wang J. (2018), A System Identification Enhanced Phenotype Phase Plane Analysis, Computer Aided Chemical Engineering, 44, 2503-2508;
(available here)

He Q.P. and Wang J. (2018), Statistics Pattern Analysis: a Statistical Process Monitoring Tool for Smart Manufacturing, Computer Aided Chemical Engineering, 44, 2071-2076;
(available here)

Suthar K., Shah D., Wang J. & He Q.P. (2018), Feature-based Virtual Metrology for Semiconductor Manufacturing, Computer Aided Chemical Engineering,44, 2083-2088;
(available here)

He Q.P. & Wang J. (2018), Statistics process monitoring as a Big Data analytics tool for smart manufacturing, Journal of Process Control, 67, 35 – 43
(available here)

Hilliard M., He Q.P. and Wang J. (2018), Dynamic Transcriptomic Data Analysis by Integrating Data-driven and Model-guided Approaches, IFAC-PapersOnLine, 51 (19), 104-107;
(available here)

Hilliard M., He Q.P. and Wang J. (2018), Using a System Identification based Framework to Elucidate How Scheffersomyces stipitis Use Redox Shift to Handle Reduced Oxygen Supply, IFAC-PapersOnLine, 51 (19), 110-111;
(available here)

Hilliard M., He Q.P. and Wang J. (2018), Revealing the Biological Meaning of Alternative Optimal Solutions of an E. coli Core Model through a System Identification Based Framework, IFAC-PapersOnLine, 51 (19), 42-43;
(available here)

Shah D., He Q.P. and Wang J. (2018), A spectroscopic chemometric modeling approach based on statistics pattern analysis, IFAC-PapersOnLine, 51(18), 369-374;
(available here)

Wang J. (2017), Commentary to “A least squares formulation to state estimation”, Virtual Special Issue on the 25th Anniversary of Journal of Process Control
(available here)

Stone S., Shah D., He Q.P., Wang J. (2017), A Novel Soft Sensor Approach for Estimating Individual Biomass in Mixed Cultures, Biotechnology Progress, Vol. 33 (2), pp 347-354.
(available here)

Stone S., Hilliard M., He Q.P., Wang J. (2017), A mini review on bioreactor configurations and gas transfer enhancements for biochemical methane conversion, Biochemical Engineering Journal, Vol. 128, 83-92
(available here)

Stone K., Shah D., Kim M., Roberts N. R. M., He Q.P., Wang J. (2017), A Novel Soft Sensor Approach for Estimating Individual Biomass in Mixed Cultures, Biotechnology Progress, 33, 347-354.
(available here)

Damiani A., He Q.P. and Wang J. (2017), A System Identification Based Framework for Genome-Scale Metabolic Model Validation and Refinement, IFAC-PapersOnLine, 50(1), 12502-12507;
(available here)

He Q.P., Wang J. and Shah D. (2017), Statistical Process Monitoring for IoT-Enabled Cybermanufacturing: Opportunities and Challenges, IFAC-PapersOnLine, 50(1), 14946-14951;
(available here)

Kim M., Liang M., He Q.P. & Wang J. (2016), A Novel Bioreactor to Study the Dynamics of Co-culture Systems, Biochemical Engineering Journal, Vol 107, 52-60.
(available here)

He Q.P., Wang J., Johnson D., Knight A., Polala R., Zhang R. (2016), A Modular Approach of Integrating Biofuels Education into Chemical Engineering Curriculum: Part I – Learning Materials, Chemical Engineering Education, Vol 50(2), 9-17.
(available here)

Wang Z., He Q.P. & Wang J. (2015), Comparison of variable selection methods for PLS-based soft sensor modeling, Journal of Process Control, 26, 56-72.
(available here)

Damiani A., He Q.P., Jeffries T.W. & Wang J. (2015), Comprehensive evaluation of two genome-wide metabolic network models of Scheffersomyces stipitis, Biotechnology and Bioengineering, 112 (6), pp 1250-1262.
(available here)

He Q.P. & Wang J. (2014), Valve stiction quantification method based on a semi-physical valve stiction model, Industrial & Engineering Chemistry Research, 53 (30),  12010-12022.
(available here)

Damiani A., Kim M.H., & Wang J. (2014) An Improved Dynamic Method to Measure kLa in Bioreactors, Biotechnology and Bioengineering, 111 (10), 2120-2125.
(available here)

Liang M., He Q.P. & Wang J. (2014), Understanding Xylose Metabolism of Scheffersomyces stipitis through a Central Carbon Metabolic Network Model, Journal of Advanced Chemical Engineering Research, Vol. 3 (1), 8-17.

Liang M., Damiani A., He Q.P. & Wang J. (2014), Elucidating xylose metabolism of Scheffersomyces stipitis by flux balance analysis integrated with principal component analysis, ACS Sustainable Chemistry & Engineering, 2014, 2 (1), pp 38–48. DOI: 10.1021/sc400265g
(available here)

Wang J., He Q.P. and Edgar T.F. (2014), State estimation for integrated moving average processes in high-mix semiconductor manufacturing, Industrial & Engineering Chemistry Research, 53(13), 5194-5204.
(available here)

Liang M., Kim M.H., He Q.P. & Wang J. (2013), Impact of pseudo-continuous fermentation on the ethanol tolerance of Scheffersomyces stipitis, Journal of Bioscience and Bioengineering, Vol. 116 (3), 319-326. DOI: 10.1016/j.jbiosc.2013.03.016
(available here)

Galicia H.J., He Q.P. & Wang J. (2012), Comparison of the performance of a reduced-order dynamic PLS soft sensor with different updating schemes for digester control. Control Engineering Practice, Vol. 20, 747-760.
(available here)

He Q.P., Wang J., Mobley J.A., Richman J. and Grizzle W.E. (2011), Self-Calibrated Warping for Mass Spectra Alignment, Cancer Informatics, Vol. 10, 85-82
(available here)

Galicia H., He Q.P., Wang J., (2011), A Reduced order soft sensor approach and its application to a continuous digester, Journal of Process control, Vol. 21(4), 489-500.
(available here)

He Q.P. & Wang J. (2010), Statistics Pattern Analysis – A New Process Monitoring Framework and Its Application to Semiconductor Batch Processes, AIChE journal, Vol. 57(1), 107-121.
(available here)

Wang J. & He Q.P. (2010), Multivariate process monitoring based on statistics pattern analysis, Industrial & Engineering Chemistry Research, Vol. 49(17), 7858-7869
(available here)

Wang, J. (2010), Discussion on: “Closed-Loop Identification of MIMO Systems: A New Look at Identifiability and Experiment Design”, European Journal of Control, Vol. 16(3), 240-241.
(available here)

Wang J. (2010),Properties of EWMA controllers with gain adaptation, IEEE Transactions on Semiconductor Manufacturing, Vol. 23(2), 159-167.
(available here)

He Q.P. & Wang J. (2010), Large-scale Semiconductor Process Monitoring Using a Fast Pattern Recognition Based Method, IEEE Transactions on Semiconductor Manufacturing, Vol. 23 (2), 194-200.
(available here)

Wang J., He Q.P. and Qin S.J. (2010), Stability analysis and optimal tuning of EWMA controllers: Gain adaptation vs. intercept adaptation, Journal of Process Control, Vol. 20 (2), 134-142, nominated for the Annual Best Paper Award.
(available here)

Wang J., He Q.P. and Edgar T.F. (2009), State estimation of high-mix semiconductor manufacturing, Journal of Process Control, Vol. 19 (2), 443-456.
(available here)

He Q.P. & Wang J. (2007), Fault detection using K-nearest neighbor rule for semiconductor manufacturing (invited), IEEE Transactions on Semiconductor Manufacturing, Vol.20 (4), 345-354.
(available here)

Bode C.A., Wang J., He Q.P. & Edgar T.F. (2007), Run-to-run control and state estimation in semiconductor manufacturing (invited), Annual Reviews in Control, Vol.31, 241-253.
(available here)

He Q.P., Wang J., Pottmann M. and Qin S.J. (2007), A Curve fitting method for detecting valve stiction in oscillating control loops, Industrial & Engineering Chemistry Research, vol.46 (13), 4549-4560.
(available here)

Wang J. & He Q.P. (2007), A new Bayesian approach for fast disturbance detection and classification in microelectronics manufacturing, IEEE Transactions on Semiconductor Manufacturing, Vol.20 (2), 126-136.
(available here)

Wang J. & Qin S.J. (2006), Closed-loop subspace identification using the parity space, Automatica, Vol. 42(2), 315-320.
(available here)

Qin S.J., Cherry G., Good Wang J., and Harrison C. (2006), Semiconductor manufacturing process control and monitoring: a fab-wide framework, Journal of Process Control, Vol.16, 179-191.
(available here)

Wang J., He Q.P., Qin S. J., Bode C. & Purdy M. (2005), Recursive least squares estimation for run-to-run control with metrology delay and its application to STI etch process, IEEE Transactions on Semiconductor Manufacturing, Vol. 18(2), 309-319.
(available here)

He Q.P., Wang J. & Qin S. J. (2005), A new fault diagnosis method using fault directions in Fisher discriminant analysis, AIChE Journal, Vol. 51(2), 555-571.
(available here)

Wang J. & Qin S.J. (2002), A new subspace identification approach based on principal component analysis. Journal of Process Control, Vol. 12(8), 841-855.
(available here)

Wang J., Liu Z., Luo J., He Q.P., Ding F. & Yuan N. (2000). Determination of zeta-potential by measuring electroosmotic flux in an alternating electric field and its application in the study of membrane fouling. Separation Science and Technology, 35(8), 1195-1206.
(available here)

Wang J., Liu Z., Ding F. & Yuan N. (1999). Longitudinal distribution of pH in preparative electrophoresis in a multicompartment electrolyzer. Separation Science and Technology, 34(8), 1661-1677.
(available here)

Wang J., Liu Z., He Q.P., Luo J. & Yuan N. (1999). Characterization of membrane fouling process using zeta-potential. Huagong Xuebao (Chinese), 50(5), 687-691.

Liu Z., Wang J., Luo J., Ding F., & Yuan N. (1998). Application of multichannel flow electrophoresis to separation of biomolecules: a survey. Journal of Molecular Recognition, 11, 149-150.
(available here)

Wang J., Liu Z., Luo J., Ding F. & Yuan N. (1998). pH value distribution model for multichannel flow electrophoresis. Huagong Xuebao (Chinese), 49(5), 592-600.

Liu Z., Wang J., Huang Z., Ding F., Shen Z. & Yuan N. (1996). Continuous separation of proteins by poly(vinyl alcohol) shielded multichannel flow electrophoresis. Biotechnology Techniques, 10(4), 253-256.
(available here)

Liu Z., Zhao Y., Wang J., Huang Z., Ding F. & Yuan N. (1996). Application of hydrophilic polymers in multichannel flow electrophoresis. Tsinghua Science and Technology, 1(4), 336-340.

Liu Z., Yang H., Huang Z., Wang J., Ding F. & Yuan N. (1996). Multichannel flow electro-phoresis in an alternating electric field. Separation Science and Technology, 31(16), 2257-2271.
(available here)