Publications

 

Topics

Book Chapters

Patents

Peer-Reviewed Journal Articles

Peer-Reviewed Conference Proceedings

Presentations at National and International Meetings

Invited Seminars and Lectures

 

Book Chapters

Wang J. & He Q.P. (2023), Microalgae-methanotroph cocultures for carbon & nutrient recovery from wastewater, in Algal systems for resource recovery from waste and wastewater, Lens P. (Ed.), IWA Publishing, to appear.

He, Q.P., Wang, J. & Qin, S.J. (2010), “An alternative stiction modeling approach and comparison of different stiction models” in Detection and Diagnosis of Stiction in Control Loops – State of the Art and Advanced Methods, 37-59,  Jelali, M. and Huang, B. (Eds.), Springer

 

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Patents

Patents Granted by US Patent and Trademark Office:

He Q.P., Wang J., Hilliard M.V., Culture systems and methods of using same, US Patent #
11,339,360 B2, issued on May 24, 2022

Wang J. & He Q.P., Enhanced state estimation method based on information credibility, US Patent 8,515,567, issued on August 20, 2013.

Wang J., Chong R.J. , Bode C.A. , Qin S.J. & Pasadyn A.J., Applying a self-adaptive filter to a drifting process, US Patent # 7,424,392, issued on September 9, 2008

He Q.P., Wang J. & Bode C.A., Method and apparatus for fast disturbance detection and classification, US Patent # 7,299,154, issued on November 20, 2007

Wang J. & Cherry G.A., Adjusting a sampling protocol in an adaptive control process, US Patent # 7,050,879, issued on May 23, 2006

Wang J. & Cherry G.A., Fault detection and classification based on calculating distances between data points, US Patent # 7,043,403, issued on May 9, 2006

Jenkins N.M., Wang J., Markle R.J., Coss, E. & Cusson B.K., Conflict resolution among multiple controllers, US Patent # 7,031,793, issued on April 18, 2006

Good R.P., Cherry G.A. & Wang J., Probability constrained optimization for electrical fabrication control, US Patent # 6,959,224, issued on October 25, 2005

Chong R.J. & Wang J., Method and apparatus for controlling a fabrication process based on a measured electrical characteristic, US Patent # 6,912,437, issued on June 28, 2005

Sonderman T.J., Wang J., Jenkins, N.M. & Coss, C., Process control based upon a metrology delay, US Patent # 6,834,213, issued on December 21, 2004

Chong R.J., Green E.O. & Wang J., Process control based on tool health data, US Patent # 6,804,619, October 12, 2004

Wang J., Coss E., Cusson B.K., Pasadyn A.J., Miller M.L., Jenkins N.M. & Bode C.A., Identifying a cause of a fault based on a process controller output, US Patent # 6,778,873, issued on August 17, 2004

Pasadyn A.J., Sonderman T.J. & Wang J., Dynamic targeting for a process control system, US Patent # 6,773,931, issued on August 10, 2004

Wang J. & Cusson B.K., Adjusting a sampling rate based on state estimation results, US Patent # 6,766,214, issued on July 20, 2004

Wang, J. and Cusson, B.K. “Adjusting a sampling rate based on state estimation results” US Patent # 6,766,214, issued on July 20, 2004

 

Patents Pending at US Patent and Trademark Office

Wang J., He Q.P., A process monitoring framework based on statistics patterns, US Provisional Patent Application # 61/296,302, filed January 18, 2010.

Wang J., He Q.P., Galicia H., Hodges R.E, Krishnagopalan G.A and Cullinan H.T., A subspace identification based dynamic soft sensor approach for digester control, US Provisional Patent Application # 61259462, filed on November 13, 2009.

 

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Peer-Reviewed Journal Articles

Wang J. & He Q.P. (2023) Methane Removal from Air: Challenges and Opportunities, Methane, submitted, invited paper.

Lee J., Kumar A., Flores-Cerrillo J., Wang J. & He Q.P. (2022). Feature-based Statistical
Process Monitoring for Pressure Swing Adsorption Processes. Frontiers in Chemical
Engineering, 18 (available here)

Badr K., He Q.P. and Wang J., 2022. Knowledge-matching based computational framework for genome-scale metabolic model refinement. Computer Aided Chemical Engineering, 49, 919-924. (available here)

Badr K., He Q.P. & Wang J., (2022), Elucidate interspecies interactions within a novel
methanotroph-photoautotroph coculture using semi-structured and structured modeling, IFAC-PapersOnLine, 55(7), 106-111. (available here)

Lee, J., Sun, Z., Tan, T. Mendez, J. Flores-Cerrillo, J., Wang, J., He, Q.P. (2022) Remaining Useful Life Estimation for Ball Bearings Using Feature Engineering and Extreme Learning Machine. IFAC-PapersOnLine, 55(7), pp.198-203. (available here)

Badr K., He Q.P. & Wang J. (2022), Matlab implementation of a novel semi-structured kinetic model for methanotroph-photoautotroph cocultures, MethodsX, Vol. 9,101652. (available here)

He, Q.P. & Wang, J. (2022), Editorial, Special Issue on “Big Data in Biology, Life Sciences and Healthcare”. Processes, Vol.10, 41. (available here)

Badr K., He Q.P. & Wang J. (2021), Semi-structured kinetic modeling of methanotroph- photoautotroph cocultures for biogas conversion, Chemical Engineering Journal, Vol. 431 (4), 133461. (available here)

Badr K., Whalen W., He Q.P. & Wang J. (2021), Fast and Easy Quantitative Characterization of Methanotroph-Photoautotroph Cocultures, Biotechnology and Bioengineering, 118 (2),
703-714 (available here)

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. Scientific Reports 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)

 

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Peer-Reviewed Conference Proceedings

Hassani B., Mao S., Wang J., He Q.P. (2023) Enhancing Reflection in the Experiential Learning of Data Science in Engineering, 2023 ASEE Annual Conference (Accepted).

Badr K., He Q.P., & Wang J., (2022), Understanding the evolution of interspecies metabolic interactions within a methanotroph-cyanobacteria coculture using dynamic genome-scale metabolic modeling, in Proceedings of 2022 American Control Conference, 450-455.

Suthar K., Mitchell T., Hartwig A.C., Wang J., Mao S., Parson L., Zeng P., Liu B. and He Q.
P., 2021, July. Real Data and Application-based Interactive Modules for Data Science
Education in Engineering. In 2021 ASEE Virtual Annual Conference Content Access.
https://peer.asee.org/37640

Badr K., He Q.P. & Wang J., (2021), Understanding the evolution of interspecies metabolic
interactions within a methanotroph-cyanobacteria coculture using dynamic genome-scale
metabolic modeling, in Proceedings of 2022 American Control Conference, 450-455.

Wang J. (2020), Understanding Microbial Cellular Metabolism using Systems Engineering
Approaches, Proceedings of IFAC 2020 World Congress, Berlin, Germany, paper # 4116.

Lee J., Kumar A., Flores-Cerrillo J., Wang J. and He Q. P. (2020), Feature Based Fault
Detection for Pressure Swing Adsorption Processes, Proceedings of IFAC 2020 World
Congress, Berlin, Germany, paper # 4090.

He Q. P. and Wang J. (2020), Internet-of-Things Enabled Manufacturing: Challenges to
Machine Learning and Deep Learning, Proceedings of IFAC 2020 World Congress, Berlin,
Germany, paper # 4273.

Lee J., Wang J., Jesus Flores-Cerrillo J., He Q.P. (2020), Improving Featured-based Soft
Sensing through Feature Selection, Proceedings of IFAC 2020 World Congress, Berlin,
Germany, paper # 3536

Suthar K., Wang J., Jiang Z. & He Q.P. (2020), Using Channel State Information for
Estimating Moisture Content in Woodchips via 5 GHz Wi-Fi, Proceedings of 2020 American
Control Conference, pp. 2784-2789.

Lee J., Jesus Flores-Cerrillo J., Wang J. & He Q.P (2020), A Variable Selection Method for
Improving Variable Selection Consistency and Soft Sensor Performance, Proceedings of 2020
American Control Conference, pp. 725-730.

He Q.P. and Wang J. (2017), Statistical Process Monitoring in the Era of Smart
Manufacturing, Proceedings of 2017 American Control Conference, Seattle, WA, 561-566.

Shah D., Hancock A., Skjellum A., Wang, J. & He, 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

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;

Damiani A, He Q.P., & Wang J. (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;

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, 3128-3133.

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.

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

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.

He Q.P., Zhang R., Wang J., Armstead III F., Walburn R., Taylor J.L., Johnson D.R., A modular approach of Integrating Biofuel Education into Chemical Engineering Curriculum, Proceedings of 2013 ASEE annual conference, paper 7518, June 23 – 26, 2013. Atlanta, GA.

He Q.P., Wang J., Walburn R., Johnson D.R., Education On Biofuels Technology In Chemical Engineering, Proceedings of Hawaii University International Conferences On Education & Technology, June 10 – 12,  Honolulu, HI, paper accepted.

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

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.

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.

Galicia H.J., Wang J. & He Q.P. (2012), Adaptive Outlier Detection and Classification for Online Soft Sensor Update, Proceedings of the 2012 International Symposium on Advanced Control of Chemical Processes, 402-407.

Galicia H.J., Wang J. & He Q.P. (2012), A Comprehensive Evaluation of Statistics Pattern Analysis Based Process Monitoring, Proceedings of the 2012 International Symposium on Advanced Control of Chemical Processes, 39-44.

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 the 2012 American Control Conference, 4897-4902.

Galicia H.J., He Q.P. & Wang J. (2012), Statistics Pattern Analysis based fault detection and diagnosis. Chemical Process Control VIII conference, paper 54.

Galicia H.J., He Q.P. & Wang J.  (2012), A Bayesian supervisory approach of outlier detection for recursive soft sensor update. Chemical Process Control VIII conference, paper 55.

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.

Galicia H.J., He Q.P. & Wang J. (2011), Statistics Pattern Analysis – fault detection and diagnosis. Proceeding of 2011 ISA Automation Week.

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

He Q. P. and Wang J. (2010), A New Spectrum Alignment Algorithm and Comparison to Other Alignment Algorithms, Proceedings of 2010 American Control Conference, 1260-1265.

He Q. P. and Wang J. (2010), Valve Stiction Modeling: First-Principles vs. Data-Driven Approaches, Proceedings of 2010 American Control Conference, 3777-3782.

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.

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

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.

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

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.

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.

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.

Wang J. & Qin S.J. (2004), Subspace identification using the parity space, Proceedings of the 7th International Conference on Dynamics and Control of Process Systems.

Qin S.J., Cherry G., Good R., Wang J., & Harrison C. (2004), Control and monitoring of semiconductor manufacturing processes: challenges and opportunities, Proceedings of the 7th International Conference on Dynamics and Control of Process Systems.

Wang J., Qin S.J., Bode C., & Purdy M. (2003), Recursive least squares estimation and its application to shallow trench isolation, Proceedings of SPIE’s International Symposium on advanced microelectronic manufacturing, Vol. 5044, 109-120.

Wang J. & Qin S. J. (2001). Principal component analysis for errors-in-variables subspace identification, Proceedings of the 40th IEEE Conference on Decision and Control, vol. 4, 3936-3941.

Liu Z., Wang J., Feng S., Shen Z., Ding F. & Yuan N. (1997). Recent development in multichannel flow electrophoresis, Proceedings of the Second Sino-American Conference On Chemical Engineering, 1075-1078, April 1997, Beijing, P.R. China.

Du J., Wang J., Hu H., Zhu D., Ding F. & Yuan N. (1994). Characterization of gas distribution zone in a bubble column. Proceedings of the 7th National Conference on Chemical Engineering (Chin.), 982-986, July 1994, Beijing, P. R. China.

Du J., Wang J., Zhu D., Ding F. & Yuan N. (1994). Characterization of transition from gas distribution zone to steady zone in a bubble column. Proceedings of the 7th national Conference on Chemical Engineering (Chinese), 987-990.

Liu Z., Zhu D., Wang J., Ding F. & Yuan N. (1994). pH model for a new chromatography electrophoresis process. Proceedings of the 7th National Conference on Chemical Engineering (Chinese), 1405-1408.

 

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Presentations at National and International Meetings

Badr K., Whelan W., He Q.P. & Wang J. (2020), Tools for Easy, Fast and Accurate Quantitative Characterization of the Methanotroph-Photoautotroph Coculture, AIChE Annual Meeting, accepted;

Roberts N., Hilliard M., He Q.P. & Wang J. (2020), A Microalgae-Methanotroph Coculture Platform for Fuels and Chemical Production from Wastewater, AIChE Annual Meeting, accepted;

Badr K., He Q.P. & Wang J. (2020), Exploring the Interspecies Interactions within a Methanotroph-Cyanobacteria Coculture through Genome-Scale Metabolic Modeling, 2020 AIChE Annual Meeting, accepted;

Badr K., Hilliard M., He Q.P. & Wang J. (2020), A dynamic genome-scale metabolic network model for a novel methanotroph-cyanobacteria coculture, 42nd Symposium on Biomaterials, Fuels and Chemicals, accepted and selected for oral presentation;

Roberts N., Hilliard M., Badr K., Whelan W., He Q.P. & Wang J. (2020), A novel biological platform for integrated biogas upgrading and nutrient recovery to valorize anaerobic digester, 42nd Symposium on Biomaterials, Fuels and Chemicals, accepted for poster presentation;

Badr K., Whelan W., Roberts N., He Q.P. & Wang J. (2020), Quantitative Characterization of Methanotroph-Photoautotroph Cocultures, 42nd Symposium on Biomaterials, Fuels and Chemicals, accepted and selected for oral presentation;

Badr K., Hilliard M., Whelan W., He Q.P., Kalyuzhnaya M., Beliaev A. & Wang J. (2019), Understanding the Dynamics of a Methanotroph-Cyanobacterium Coculture through Kinetic Modeling and Experimental Verification, 2nd International Conference on Microbiome Engineering, Dec. 2-4, Boston, MA

Stone K., He Q.P. & Wang J. (2019), Two Experimental Protocols for Accurate Measurement of Gas Component Uptake and Production Rates in Bioconversion Processes, 2019 AIChE Annual Meeting, Nov. 11-15, Orlando, FL

Roberts N., He Q.P. & Wang J. (2019), Nutrient Recovery from Municipal Wastewater Using a Methanotroph-Microalgae Co-Culture, 2019 AIChE Annual Meeting, Nov. 11-15, Orlando, FL

Badr K., He Q.P. & Wang J. (2019), A Dynamic Genome-Scale Metabolic Network Model for a Novel Methanotroph-Cyanobacteria Coculture, 2019 AIChE Annual Meeting, Nov. 11-15, Orlando, FL

Badr K., Hilliard M., He Q.P. & Wang J. (2019), Kinetic Modeling of a Novel Methanotroph-Cyanobacterium Coculture for Biogas Conversion, Annual Data Science Forum – Machine Learning in Science and Engineering Symposium, June 10-12, 2019, Atlanta, GA;

Badr K., Roberts N., He Q.P. & Wang J. (2018), Understanding the Stability and Robustness of a Methanotroph-Cyanobacterium Coculture through Kinetic Modeling and Experimental Verification, 2018 AIChE Annual Conference, Oct. 28 – Nov. 2, Pittsburgh, PA.

Roberts N., He Q.P. & Wang J., Using Methanotroph-Microalgae Coculture for Wastewater Treatment, 2018 AIChE Annual Conference, Oct. 28 – Nov. 2, Pittsburgh, PA.

Stone K., He Q.P. & Wang J., Methane-limited vs oxygen-limited growth of Methylomicrobium Buryatense 5GB1: a systems pproach, 2018 AIChE Annual Conference, Oct. 28 – Nov. 2, Pittsburgh, PA;

Hilliard M., He Q.P. & Wang J., Elucidating the meaning of alternative optimal solutions in flux balance analysis, 2016 AIChE Annual Conference, San Francisco, Nov. 14-18, CA.

Roberts N., Kim M.H., He Q.P. & Wang J., Understanding the metabolism of Scheffersomyces stipitis during the transition from aerobic growth to fermentation conditions, 2016 AIChE Annual Conference, San Francisco, Nov. 14-18, CA.

Stone K., Hilliard M., He Q.P. & Wang J., Fermentation Design and Gas Transfer Considerations for Biochemical Methane Conversion, 2016 AIChE Annual Conference, San Francisco, Nov. 14-18, CA.

Shah D., Hancock A. Skjellum A, He Q.P. & Wang J., IoT-enabled cybermanufacturing: challenges and possibilities, 2016 AIChE Annual Conference, San Francisco, Nov. 14-18, CA.

Shah D., He Q.P. & Wang J., Improved soft sensors for mixed culture system monitoring, 2016 AIChE Annual Conference, San Francisco, Nov. 14-18, CA.

Kim M.H., He Q.P. & Wang J., Oxygen utilization rate (OUR) alone does not define the optimal condition for ethanol production with Scheffersomyces stipitis, 38th Symposium on Biotechnology for Fuels and Chemicals, Apr 25-29, 2016, Baltimore, MD.

Wang J., He Q.P., Skjellum A., Shah D. & Lemus C., Statistics Pattern-Based Big Data Analytics Framework for Iot-Enabled Cybermanufacturing, 2016 AIChE Spring Conference, Apr 10 – 14, Houston, TX

Wang J., A system identification based framework for genome-scale metabolic network model validation and refinement, invited talk, Modeling Life in the Lab Symposium, Carey Institute for Global Good, NY (cross listed under invited lecture).

Kim M.H., He Q.P. & Wang J., Quantifying the effects of oxygen utilization rate on ethanol production by S. stipitis under controlled chemostat, 2015 AIChE Annual Conference, Salt Lake City, Nov. 8 – 13, UT.

Stone K, Shah D. Zamora A., He Q.P. & Wang J., A novel soft sensor approach for estimating individual biomass in mixed cultures, 2015 AIChE Annual Conference, Salt Lake City, Nov. 8 – 13, UT.

Stone K., Hilliard M., He Q.P. & Wang J., A System Identification Enhanced Phenotype Phase Plane Analysis, 2015 AIChE Annual Conference, Salt Lake City, Nov. 8 – 13, UT.

He Q.P., Wang J., Integrating biofuels educational modules into two chemical engineering courses, 2015 ASEE-SE Annual Conference, April 12-14, 2015, Gainesville, FL

He Q.P., Wang J., Integrating Biofuels Education into Chemical Engineering Curriculum, The sixth Frontiers of Engineering Education (FOEE) Symposium, October 26-29, 2014, Irvine, CA

Kim M.H., Damiani A., He Q.P. and Wang J., A novel co-culture system for ethanolic fermentation from lignocellulosic sugars, Sun Grant Regional Conference on Southern Crossroads: Progress In the Science & Technology of Biomass Production, Processing and Use, Feb. 2 – 4, 2015, Auburn, AL

Damiani A., He Q.P., Jeffries T. and Wang J., iAD824: An improved genome-scale metabolic network model for Scheffersomyces stipitis, Sun Grant Regional Conference on Southern Crossroads: Progress In the Science & Technology of Biomass Production, Processing and Use, Feb. 2 – 4, 2015, Auburn, AL

Damiani A., He Q.P. and Wang J., A system identification based approach for phenotype phase plane analysis, AIChE Annual Meeting, Nov. 16-21, 2014, Atlanta, GA

Damiani A., He Q.P. and Wang J., An improved genome-scale network model for Scheffersomyces stipitis, AIChE Annual Meeting, Nov. 16-21, 2014, Atlanta, GA

Stone K., He Q.P. and Wang J., Biological conversion of methane: a comprehensive review, AIChE Annual Meeting, Nov. 16-21, 2014, Atlanta, GA

Kim M., He Q.P. and Wang J., Kinetic modeling of co-cultured Saccharomyces cerevisiae and Schefferosmyce stipitis, AIChE Annual Meeting, Nov. 16-21, 2014, Atlanta, GA

Wang Z., He Q.P. and Wang J., New critieria for evaluating variable selection performance, AIChE Annual Meeting, Nov. 16-21, 2014, Atlanta, GA

Damiani A., He Q.P. and Wang J., Comprehensive evaluations of two genome-scale models of Scheffersomyces stipitis, Metabolic Engineering Conference X, June 15-19, 2014, Vancouver, BC, Canada

Damiani A., He Q.P. and Wang J., A system identification based framework for metabolic network analysis and its application to genome scale models of Scheffersomyces stipitis, Apr. 28-May 1, 2014, Clearwater Beach, FL

Wang J., He Q.P. and Edgar T., Non-threaded Run-to-Run Control, 14th European Advanced Process Control and Manufacturing Conference, Apr. 7-9, 2014, Rome, Italy

He Q.Pand Wang J., A New Virtual Metrology Approach for Semiconductor Manufacturing Processes, 14th European Advanced Process Control and Manufacturing Conference, Apr. 7-9, 2014, Rome, Italy

Damiani A., Kim M.H., Liang M., and Wang J., A modified dynamic method for measuring, AIChE Annual Meeting, Nov. 3-8, 2013, San Francisco, CA

Damiani A., He Q.P., and Wang J., Comprehensive evaluation of two genome-wide metabolic network models on Scheffersomyces stipitis, AIChE Annual Meeting, Nov. 3-8, 2013, San Francisco, CA

Wang Z., He Q.P., and Wang J., Comparison of different variable selection methods for PLS soft sensor development, AIChE Annual Meeting, Nov. 3-8, 2013, San Francisco, CA

Kim M.H., Liang M., He Q.P. and Wang J., A novel co-culture system for pseudo-continuous ethanolic fermentation from lignocellulosic sugars, AIChE Annual Meeting, Nov. 3-8, 2013, San Francisco, CA

Wang J., He Q.P., Edgar T and Stuber J., A new advanced process control framework for high-mix semiconductor manufacturing, Keynote Speak, APC XXIII, Oct. 14-16, 2013, Ann Arbor, MI

He Q.P., & Wang J., Reducing Energy and Chemical Consumption in Kraft Pulping Process through a Soft Sensor Enabled Self-adaptive Control Approach, The 3rd International Conference on Sustainable Chemical Product and Process Engineering (SCPPE 2013), May 27-30, 2013, Dalian, China

Liang M., He Q.P., & Wang J., Elucidating xylose metabolism of Scheffersomyces stipitis for lignocellulosic ethanol production, The 3rd International Conference on Sustainable Chemical Product and Process Engineering (SCPPE 2013), May 27-30, 2013, Dalian, China

Liang M., He Q.P., & Wang J., Rational design of cofactor engineering strategies through metabolic network analysis, 35th Symposium on Biotechnology for Fuels and Chemicals, Apr 29 – May 2, 2013, Portland, OR.

Damiani A., He Q.P., & Wang J., Comprehensive Evaluation of Two Genome-Wide Metabolic Network Models on Scheffersomyces stipitis, 35th Symposium on Biotechnology for Fuels and Chemicals, 2013, Portland, OR.

Wang J., He Q.P. & Edgar T.F., Improved state estimation for high-mix semiconductor manufacturing, AIChE annual meeting, 2012, Pittsburgh, PA.

He Q.P. & Wang J., A semi-physical valve stiction model and its application for stiction quantification, AIChE annual meeting, 2012, Pittsburgh, PA.

Liang M., Kim M.H., He Q.P., Jeffries T & Wang, J., metabolic network modeling of redox balancing and ethanol production in Scheffersomyces stipitis, AIChE annual meeting, 2012, Pittsburgh, PA.

Galicia H.J., He Q.P. & Wang J., Intelligent recursive soft sensor adaptation via Bayesian outlier detection and classification, AIChE annual meeting, 2012, Pittsburgh, PA.

Kim, M.H., Liang, M., He, Q.P. & Wang, J., Efficient bioconversion of glucose/xylose mixtures for ethanol production using a novel co-culture system, AIChE annual meeting, 2012, Pittsburgh, PA.

Kim, M.H., Liang, M., He, Q.P. & Wang, J., Pseudo-continuous fermentation – an effective way to study the dynamics of co-culture systems. 34th Symposium on Biotechnology for Fuels and Chemicals, 2012, New Orleans, LA.

Liang, M., Kim, M.H., He, Q.P. & Wang, J., Reconstruction of the central carbon metabolism of Pichia stipitis. 34th Symposium on Biotechnology for Fuels and Chemicals, 2012, New Orleans, LA

Liang, M., Kim, M.H., He, Q.P. & Wang, J., Elucidation of redox balance in xylose fermentation with Pichia stipitis. 34th Symposium on Biotechnology for Fuels and Chemicals, 2012, New Orleans, LA

Galicia H.J., He Q.P. & Wang J., Fault detection and diagnosis in the Statistics Pattern Analysis framework. AIChE annual meeting, 2011, Minneapolis, MN.

Galicia H.J., He Q.P. & Wang J., Online outlier detection with a Bayesian supervisory approach for recursive soft sensor update. AIChE annual meeting, 2011, Minneapolis, MN.

Kim, M.H., Liang, M., He, Q.P. & Wang, J., Pseudo-Continuous Fermentation Using a Novel Bioreactor to Facilitate the Study of a Co-Culture System for Ethanol Production. AIChE annual meeting, Oct. 16-21, 2011, Minneapolis, MN.

He Q.P. & Wang J., Multivariate statistical analysis based statistics pattern analysis, AIChE annual meeting, 2010, Salt Lake City, UT

Galicia H.J., He Q.P., Wang J., Hodges R., Krishnagopalan G., Cullinan H., Outlier detection and process monitoring with application to a recursive soft sensor update for digester control, AIChE annual meeting, 2010, Salt Lake City, UT

Liang M., He Q.P. & Wang J., Pseudo-continuous operation: an effective way to improve ethanol tolerance of Pichia stipitis in hexose/pentose fermentation, The Society for Industrial Microbiology Annual Meeting, August 1-5, 2010, San Francisco, CA.

Liang M., He Q.P. and Wang J., Improving Ethanol Tolerance of Pichia stipitis Via Continuous Fermentation with Cell Retention, AIChE Annual Meeting, November 8-13, 2009. Nashville, TN

Galicia1 H., He Q.P., Wang J., Hodges R.E, Krishnagopalan G.A and Cullinan H.T., A Multi-Model Recursive Dynamic Soft Sensor for Digester Control, AIChE Annual Meeting, November 8-13, 2009. Nashville, TN

Akanda M., Wang J., Cheng Z.Y. and Chin B., Investigation on Effects of Different Factors on Biosensor Performance via Numerical Simulation, AIChE Annual Meeting, November 8-13, 2009. Nashville, TN

He Q.P. and Wang J., Statistics Pattern Analysis and Its Application to Semiconductor Process Monitoring, AIChE Annual Meeting, November 8-13, 2009. Nashville, TN

He Q.P. and Wang J., Valve Stiction Modeling: Data-Driven Vs. First Principles, AIChE Annual Meeting, November 8-13, 2009. Nashville, TN

Wang J., He Q.P., Edgar T.F., Control Performance Monitoring for EWMA Controllers, AEC/APC Symposium XXI, September 27-30, 2009, Ann Abhor, MI

He Q.P. and Wang J., Fundamental Properties of Statistics Pattern Analysis, AEC/APC Symposium XXI, September 27-30, 2009, Ann Abhor, MI

Akanda MH, Wang J, Chin B & Zheng ZY (2008), Elucidation of Biosensing Processes through Simulation, AIChE 2008 Annual Meeting, Nov 16-21, Philadelphia, PA

Galicia H, He QP & Wang J (2008), A Subspace Identification Based Dynamic Soft Sensor Approach for Digester Control, AIChE 2008 Annual Meeting, Nov 16-21, Philadelphia, PA

He QP & Wang J (2008), A New Algorithm for Spectrum Alignment by Maximizing Correlations among Signature Peaks, AIChE 2008 Annual Meeting, Nov 16-21, Philadelphia, PA

He QP & Wang J (2008), A Correlation Pattern based Algorithm for Process Monitoring, AIChE 2008 Annual Meeting, Nov 16-21, Philadelphia, PA

He QP & Wang J (2008), Valve Stiction Detection and Quantification in Oscillatory Control Loops, AIChE 2008 Annual Meeting, Nov 16-21, Philadelphia, PA

He Q.P. & Wang J. (2008), A Novel Non-Threaded FDC Framework for High-Mix Semiconductor Manufacturing, AEC/APC Symposium XX, Oct 4 – 8, Salt Lake City, UT

Wang J. & He Q.P. (2008), A novel approach for cancer diagnosis and prognosis using omics data, 5th NIH Early Detection Research Network Scientific Workshop, Mar. 17-20, Bethesda, MD

Chen Y. & Wang J. (2007), Mathematical modeling of sugar fermentation in bioethanol production, 60th Annual Meeting of the Southeastern Branch of the American Society for Microbiology, Nov. 8-10,Auburn, AL.

He Q.P, Wang J. & Barnes M. (2007), Ovarian cancer early detection using proteomic data – a systems engineering approach for biomarker discovery, AIChE 2007 Annual Meeting, Nov. 4-9, Salt Lake City, UT.

Wang J. & Chen Y. (2007), Ovarian cancer detection: understanding proteomic data through chemometric approaches, AIChE 2007 Annual Meeting, Nov. 4-9, Salt Lake City, UT.

Wang J., He Q.P, Hodges, R., Krishnagopalan, G. & Cullinan H. (2007), Inferential control of a continuous digester: a practical perspective, AIChE 2007 Annual Meeting, Nov. 4-9, Salt Lake City, UT.

Wang J. (2007), EWMA controllers with gain updating – stability and sensitivity analysis, AIChE 2007 Annual Meeting, Nov. 4-9, Salt Lake City, UT.

He Q.P & Wang J. (2007), Further evaluation on a valve stiction detection method – its capabilities and limitations, AIChE 2007 Annual Meeting, Nov. 4-9, Salt Lake City, UT.

Wang J. (2007), Stability and sensitivity analysis of an EWMA controllers with gain updating, AEC/APC Symposium XIX, Sep. 15-20, Indian Wells, CA

Wang J. & He Q.P., (2006), On state estimation in high-mix semiconductor manufacturing using a Gauss-Markov model, AIChE 2006 Annual Meeting, Nov. 12-17, San Francisco, CA

He Q.P. & Wang J. (2006), A multivariate fault detection method using k-nearest-neighbor rule, AIChE 2006 Annual Meeting, Nov. 12-17, San Francisco, CA

Wang J. & He Q.P., (2006), On state estimation in low-volume high-mix semiconductor manufacturing, AEC/APC Symposium XVIII, Sep. 29-Oct. 6, Westminster, CO

He Q.P. & Wang J. (2006), A multivariate fault detection method using k-nearest-neighbor rule, AEC/APC Symposium XVIII, Sep. 29-Oct. 6, Westminster, CO

Wang J. & Qin S.J. (2005), SIMPCA with modified instrumental variables to improve estimation accuracy, AIChE 2005 Annual Meeting, Oct. 30-Nov. 4, Cincinnati, OH.

He Q.P., Wang J., Pottmann, M. & Qin, S.J. (2005), A curve fitting method for detecting valve stiction in oscillating control loops, AIChE 2005 Annual Meeting, Oct. 30-Nov. 4, Cincinnati, OH.

Wang J. & He Q.P.(2005), A new Bayesian approach for improved state estimation in semiconductor manufacturing processes, AIChE 2005 Annual Meeting, Oct. 30-Nov. 4, Cincinnati, OH.

Wang J. & He Q.P. (2005), A pattern matching approach for fast disturbance detection and classification using Bayesian statistics, AEC/APC Symposium XVII, Sept. 24-29, Indian Wells, CA.

Wang J., & Qin S. J. (2004), Stochastic fault detection algorithms using second order statistics, AIChE 2004 Annual Meeting, Nov. 4-9, Austin, TX.

Wang J. (2004), Recursive least squares run-to-run controller: drift tracking and metrology delay handling, AEC/APC Symposium XVI, Sept. 18-23, Westminster, CO.

Wang J., Bode C., Ryskoski M., Yeh S. (2003), Comparison and analysis of different removal rate models in run-to-run control of the oxide CMP processes, AEC/APC Symposium XV, Sept. 13-18, Colorado Springs, UT.

Wang J. & Bode C. (2003), Bayesian statistics and its application in semiconductor manufacturing, AEC/APC Symposium XV, Sept. 13-18, Colorado Springs, CO.

He Q.P., Wang J. & Qin S.J. (2003) Fault diagnosis using fault directions in Fisher discriminant analysis, AIChE 2003 Annual Meeting, Nov. 16-21, San Francisco, CA.

Chong R., Wang J., Purdy M., Adams E. III, Dye P. & Hussey J. (2002), Analysis of a run-to-run controller on a drifting STI etch process by augmentation of the integrated interferometric endpoint detection system, AEC/APC Symposium XIV, Sept. 7-12, Snowbird, UT.

Qin S.J., Ljung L. & Wang J. (2002), Subspace identification methods using parsimonious model formulation, AIChE 2002 Annual Meeting, Nov. 3-8, Indianapolis, IN.

Wang J., & Qin S. J. (2001), SIMPCA – subspace identification method via PCA, AIChE 2001 Annual Meeting, Nov. 4-9, Reno, NA.

Wang J., & Qin S. J. (2000), A new subspace identification approach based on principal component analysis, AIChE 2000 Annual Meeting. Nov. 12-17, Los Angeles, CA

 

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Invited Seminars and Lectures

Wang J. (2023), Genome-Scale Understanding of the Emergent Metabolic Interactions within a Model MEthanotroph-Cyanobacteria Coculture, AIChE annual meeting, Orlando, FL. (invited Keynote talk in AIChE 15C Bioengineering Division)

Wang J. (2020), Microalgae-methanotroph coculture: a synthetic microbiome to help understand the rules of life, NSF-DOE Workshop on Rules of Life: Complexity in Algal Systems, July, 2020.

Wang J. (2019), Understanding Cellular Metabolism using Systems Engineering Approaches, Plant Genomes, Systems Biology and Engineering 2019, Cold Spring Harbor, NY.

Wang J. (2019), Understanding Cellular Metabolism using Systems Engineering Approaches, Department of Microbiology, San Diego State University, CA

Wang J. (2019), Process monitoring for smart manufacturing: challenges and opportunities, CommNetS-MHI Seminar Series, Center for Systems and Control, University of Southern California, CA

Wang J. (2019), Understanding Cellular MEtabolism using Systems Engineering Approaches, Department of Chemical Engineering, University of British Columbia, Vancouver, Canada.

Wang J. (2019), Understanding Cellular Metabolism using Systems Engineering Approaches, Department of Biosystems Engineering, Auburn University, AL.

Wang J. (2019) Understanding Cellular Metabolism using Systems Engineering Approaches, Pacific Northwest National Lab, Richland, WA.

Hilliard M., He Q.P., and Wang J. (2018), Dynamic Transcriptomic Data Analysis by Integrating Data-driven and Model-guided Approaches, 7th Foundations of Systems Biology in Engineering, Chicago, IL.

Wang J. (2018), Challenges and opportunities in big data analytics for smart manufacturing:
lessons learned from IoT-enabled manufacturing technology test beds, Workshop on
Challenges and Opportunities in Machine Learning for Industrial Intelligence, Shenzhen,
China

Wang J. (2017), Systems engineering approaches to the study of biological systems and
industrial processes, Invited Seminar, Department of Chemical Engineering, University of
Alabama, Tuscaloosa, AL.

Wang J. (2017), Systems engineering approaches to the study of biological systems and
industrial processes, Invited Seminar, Department of Chemical Engineering, University of
Washington, Seattle, WA.

Wang J. (2016), A System Identification based Framework for Genome-scale Metabolic
Network Model Analysis, 3rd Workshop on ProBioRefine, Auburn University, AL

Wang J. (2015), A system identification based framework for genome-scale metabolic network model validation and refinement, invited talk, Modeling Life in the Lab Symposium, Carey Institute for Global Good, NY.

Wang J. (2014) Systems engineering approaches to the study of biological systems and industrial processes, Invited Seminar, Department of Chemical and Biomolecular Engineering, Vanderbilt University

Wang J. (2014), Systems engineering approaches to the study of microbes, Invited Seminar, Prof. Lidstrom’s group, University of Washington

Wang J. (2013), Systems engineering approaches to the study of industrial processes and biological systems, Invited Seminar, Department of Chemical Engineering, University of Pittsburgh

Wang J. (2013), Systems engineering approaches to the study of industrial processes and biological systems, Invited Seminar, School of Chemical and Biomolecular Engineering, Georgia Institute of Technology

Wang J. (2013), Experimental and In Silico Fermentation of Mixed Sugars for Lignocellulosic Ethanol Production, Invited Seminar, Dave C. Swalm School of Chemical Engineering, Mississippi State University

Wang J. (2012), Data-Driven Systems Engineering Approaches and Their Applications in Industrial Processes, Invited Seminar, Department of Chemical Engineering, The University of Texas at Austin.

Wang J. (2012), Experimental and In Silico Fermentation of Mixed Sugars for Lignocellulosic Ethanol Production, Invited Seminar, School of Life Science and Technology, Dalian University of Technology, P.R. China

Wang J. (2012), Data-Driven Systems Engineering Approaches and Their Applications in Industrial Processes, Invited Seminar, School of Control Science and Engineering, Dalian University of Technology, P.R. China

Wang J. (2006), Closed-loop Subspace Identification using the Parity Space, Invited Seminar, Department of Chemical Engineering, Massachusetts Institute of Technology

Wang J. (2006), Closed-loop Subspace Identification using the Parity Space, Invited Seminar, Mork Family Department of Chemical Engineering and Material Science, University of Southern California

Wang J. (2006), Closed-loop Subspace Identification using the Parity Space, Invited Seminar, Department of Chemical Engineering, Auburn University

 

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