Presentations

2020

  1. Badr K., Whalen W., He Q.P. & Wang J. (2020), Tools for Easy, Fast and Accurate Quantitative Characterization of the Methanotroph-Photoautotroph Coculture, AIChE Annual Meeting, Nov. 16-20, Virtual;
  2. 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, Nov. 16-20, Virtual;
  3. Lee J., Kumar A., Flores-Cerrillo J., Wang J. & He Q.P. (2020), Statistics Pattern Analysis Based k-Nearest Neighbors (SPA-kNN) Fault Detection for Pressure Swing Adsorption Processes, 2020 AIChE Annual Meeting, Nov. 16-20, Virtual;
  4. Lee J., Flores-Cerrillo J., Wang J. & He Q.P. (2020), Application of Feature Engineering and Selection for Spectrometry-Based Soft Sensing, 2020 AIChE Annual Meeting, Nov. 16-20, Virtual;
  5. Suthar K., Wang J., Jiang Z., He Q.P. (2020), Statistics Pattern Analysis-Based Multiclass Woodchip Moisture Classification System Using Short-Range Iot Wi-Fi, 2020 AIChE Annual Meeting, Nov. 16-20, Virtual;
  6. 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, Nov. 16-20, Virtual;
  7. 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;
  8. 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;
  9. 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;
  10. He Q. P. (2020), Potential of Using Industrial Data and Applications for Developing Data-Enabled Engineering Project (DEEP) Modules for Data Science Education in Chemical Engineering, 2020 AIChE Spring Meeting, ?, 2020, Houston, TX;
  11. He Q.P., Wang J., Mao S., Parson L., Liu B., Zeng P., Smith A., Henry D., Data-Enabled Engineering Projects (DEEPs) Modules for Data Science Education in Engineering, ASEE-SE Conference 2020, Mar 8-10, 2020, Auburn, AL;
  12. He Q.P., Wang J., Mao S., Parson L., Liu B., Zeng P., Smith A., Henry D., Real Data and Application based Data Science Education in Engineering, ASEE-SE Conference 2020, Mar 8-10, 2020, Auburn, AL;

2019

  1. 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;
  2. 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;
  3. Suthar K., Jiang Z., Wang J., He Q.P. (2019), Using Channel State Information for Estimating Moisture Content in Woodchips via IoT based Wi-Fi, 2019 AIChE Annual Meeting, Nov. 11-15, Orlando, FL;
  4. 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;
  5. Hilliard M., Jeffries T., He Q.P. & Wang J. (2019), Dynamic Transcriptomic Profiling Reveals Novel Short-Term and Long-Term Strategies to Cope with Oxygen Limitation in Scheffersomyces Stipitis, 2019 AIChE Annual Meeting, Nov. 11-15, Orlando, FL;
  6. Shah D., Flores-Cerrillo J., Wang J. & He Q.P. (2019), Exploring the Role of System Knowledge in Data Analytics Using an IIoT-Enabled Smart Manufacturing Testbed., 2019 AIChE Annual Meeting, Nov. 11-15, Orlando, FL;
  7. 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;
  8. Improving Near-Infrared Spectrum-Based Soft Sensor performance through Variable Selection- Jangwon Lee, Jin Wang and Q. Peter He, 2019 AIChE Fall Meeting, Nov 10-15, Orlando, FL;
  9. Exploring the role of System Knowledge in Data Analytics using an Iiot-Enabled Smart Manufacturing Testbed – Devarshi Shah, Jesus Flores-Cerrillo, Jin Wang and Q. Peter He. 2019 AIChE Fall Meeting, Nov 10-15, Orlando, FL;
  10. Two Experimental Protocols for accurate measurement of Gas Component uptake and production rates in Bioconversion Process- Kyle Stone, Q. Peter He and Jin Wang, 2019 AIChE Fall Meeting, Nov 10-15, Orlando, FL;
  11. Fault Detection for Pressure swing Adsorption Processes- Jangwon Lee, Ankur Kumar, Jesus Flores-Cerrillo, Jin Wang and Q, Peter He, 2019 AIChE Fall Meeting, Nov 10-15, Orlando, FL;
  12. Dynamic Transcriptomic profiling reveals Novel Short-term and Long-Term Strategies to cope with oxygen limitation in Scheffersomyces Stipitis-Matthew Hilliard, Thomas Jeffries, Q. Peter He and Jin Wang, 2019 AIChE Fall Meeting, Nov 10-15, Orlando, FL;
  13. Nutrient recovery from Municipal Wastewater using a Methanotroph-Microalgae Co-Culture- Nathan Roberts, Q. Peter He and Jin Wang, 2019 AIChE Fall Meeting, Nov 10-15, Orlando, FL;
  14. Using Channel State Information for estimating Moisture Content in Wood via 5 GHz Wi-Fi, Kerul Suthar, Forest Dewberry, Zhihua Jiang and Q. Peter He, 2019 AIChE Fall Meeting, Nov 10-15, Orlando, FL;
  15. A Dynamic Genome-Scale Metabolic Network Model for a Novel Methanotroph-Cyanobacteria Coculture- Kiumars Badr, Q. Peter He and Jin Wang, 2019 AIChE Fall Meeting, Nov 10-15, Orlando, FL;
  16. Shah D.*, Wang J. and He Q. P. (2019), Data Characterization, Visualization and Analytics for an IIoT-enabled Smart Manufacturing Testbed, 2019 AIChE Spring Meeting, March 31 – April 4, 2019, New Orleans, LA;
  17. Lee J.*, Wang J. and He Q. P. (2019), A Novel Variable Selection Method for Spectrum-Based Soft Sensor Development, 2019 AIChE Spring Meeting, March 31 – April 4, 2019, New Orleans, LA;
  18. Dewberry F.*, Jiang Z. and He Q. P. (2019), IoT NIR Sensors for Measuring the Moisture Content in Wood Chips, 2019 AIChE Spring Meeting, March 31 – April 4, 2019, New Orleans, LA;

2018

  1. 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 (invited);
  2. Lee J.* and He Q. P., Hypothesis-Driven Data-Based Modeling to Study the Effect of Specialization on Hospital Performance, 2018 AIChE Annual Conference, Oct. 28 – Nov. 2, Pittsburgh, PA;
  3. Bahr K.*, Roberts N., He Q.P. & Wang J., 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;
  4. Hilliard M., He Q.P. & Wang J., Dynamic Transcriptomic Profiling of Scheffersomyces Stipitis Reveals Key Information of Its Gene Regulatory Network at Genome-Scale, 2018 AIChE Annual Conference, Oct. 28 – Nov. 2, Pittsburgh, PA;
  5. Roberts N., He Q.P. & Wang J., Using Methanotroph-Microalgae Coculture for Wastewater Treatment, 2018 AIChE Annual Conference, Oct. 28 – Nov. 2, Pittsburgh, PA;
  6. Shah D.*, He Q.P. & Wang J., Big Data and Iot: A Demonstration Testbed of Multi-Stage Centrifugal Pumping System, 2018 AIChE Annual Conference, Oct. 28 – Nov. 2, Pittsburgh, PA;
  7. Stone K., He Q.P. & Wang J., Methane-limited vs oxygen-limited growth of Methylomicrobium Buryatense 5GB1:a systems approach, 2018 AIChE Annual Conference, Oct. 28 – Nov. 2, Pittsburgh, PA;
  8. Roberts N., Hilliard M., Bahr K.*, He Q.P. & Wang J., Efficient and robust biological CH4/CO2 co-utilization through Coculture of methanotrophs and microalgae, 40th Symposium on Biotechnology for Fuels and Chemicals, Apr. 29 – May 3, 2018, Clear Water, FL;
  9. Stone K., He Q.P. & Wang J., An Experimental and Computational Study of the Intracellular Pathways in Methylomicrobium buryatense, a Promising Methanotroph Strain, Apr. 29 – May 3, 2018, Clear Water, FL;

2017

  1. Roberts N., Hilliard M., Bahr K.*, He Q.P. & Wang J., Coculture of Methanotrophs and Microalgae – a Flexible Platform for Biological CH4/CO2 Co-Utilization, 2017 AIChE Annual Conference, Oct. 28 – Nov. 3, 2017, Minneapolis, MN;
  2. Stone K., He Q.P. & Wang J., Systematic Carbon and Growth Analysis of a Promising Methanotroph Strain, 2017 AIChE Annual Conference, Oct. 28 – Nov. 3, 2017, Minneapolis, MN;
  3. He Q.P. & Wang J., Challenges and Opportunities of Statistical Process Monitoring in Advancing Smart Manufacturing, 2017 AIChE Annual Conference, Oct. 28 – Nov. 3, 2017, Minneapolis, MN;
  4. Hilliard M., He Q.P. & Wang J., Understanding the Metabolic Shift of Scheffersomyces Stipitis from Aerobic Growth to Oxygen-Limited Fermentation at Genome-Scale, 2017 AIChE Annual Conference, Oct. 28 – Nov. 3, 2017, Minneapolis, MN;
  5. Lee, J.*, Chinta, R. & He Q.P., Application of focused factory theory to hospitals, 2017 AIChE Annual Conference, Oct. 28 – Nov. 3, 2017, Minneapolis, MN;
  6. Suthar, K.*, Shah, D.* & He Q.P., Virtual metrology as a big data solution to semiconductor manufacturing, 2017 AIChE Annual Conference, Oct. 28 – Nov. 3, 2017, Minneapolis, MN;
  7. Stone K., He Q.P. & Wang J., Characterizing a promising methanotroph strain through a complete carbon and growth analysis, 39th Symposium on Biotechnology for Fuels and Chemicals, May 1-4, 2017, San Francisco, CA;
  8. Lee, J.*, Chinta, R. & He Q.P., Comparison of clinical outcomes for specialized and nonspecialized hospitals, Auburn University Research Initiative in Cancer (AURIC) annual Cancer Research Symposium Aug. 25-26, 2017, Opelika, AL;

2016 and before

  1. 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;
  2. Wang J., He Q.P., Skjellum A., Shah D. & Lemus C., Statistics Pattern-Based Big Data Analytics Framework for Iot-Enabled Cybermanufacturing, Apr 10 – 14, 2016, Houston, TX;
  3. 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;
  4. 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;
  5. 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;
  6. 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;
  7. 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;
  8. 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;
  9. 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;
  10. 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;
  11. Stone K., He Q.P. and Wang J., Biological conversion of methane: a comprehensive review, AIChE Annual Meeting, Nov. 16 – 21, 2014, Atlanta, GA;
  12. Kim M., Damiani A., He Q.P. and Wang J., Kinetic modeling of co-cultured Saccharomyces cerevisiae and Scheffersomyces stipitis, AIChE Annual Meeting, Nov. 16 – 21, 2014, Atlanta, GA;
  13. Wang Z., He Q.P. and Wang J., New criteria for evaluating variable selection performance, AIChE Annual Meeting, Nov. 16 – 21, 2014, Atlanta, GA;
  14. 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;
  15. Damiani A., He Q.P., Jeffries T. and Wang J., Comprehensive evaluations of two genome-scale models of Scheffersomyces stipitis, Metabolic Engineering Conference X, June. 15 – June 19, 2014, Vancouver, BC, Canada;
  16. 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, 36th Symposium on Biotechnology for Fuels and Chemicals Apr. 28-May 1, 2014, Clearwater Beach, FL;
  17. He Q.P., Wang J., A New Virtual Metrology Approach for Semiconductor Manufacturing Processes, 14th European advanced process control and manufacturing (apc|m) Conference, Rome, Italy • April 7 – 9, 2014;
  18. Wang J., He Q.P., Non-threaded Run-to-Run Control, 14th European advanced process control and manufacturing (apc|m) Conference, Rome, Italy • April 7 – 9, 2014;
  19. , Wang J., Educate Chemical Engineers for Renewable and Sustainable Fuels and Chemicals: Opportunities and Challenges, 2014 ASEE Southeastern Section Conference, Mercer University School of Engineering, Mar. 30 – Apr. 1, 2014, Macon, GA;
  20. 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;
  21. 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;
  22. 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;
  23. 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;
  24. He Q.P. & Wang J., Educate Chemical Engineers for Renewable and Sustainable Fuels and Chemicals: Opportunities and Challenges, American Society for Engineering Education (ASEE) – Southeast Section Conference, Mar. 30 – Apr. 1, Mercer, GA;
  25. 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;
  26. 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;
  27. 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, 2013, Portland, OR;
  28. 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;
  29. Wang J., He Q.P. & Edgar T.F., Improved state estimation for high-mix semiconductor manufacturing, AIChE annual meeting, 2012, Pittsburgh, PA;
  30. He Q.P. & Wang J., A semi-physical valve stiction model and its application for stiction quantification, AIChE annual meeting, 2012, Pittsburgh, PA;
  31. 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;
  32. 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;
  33. 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;
  34. Galicia H.J., Wang J. & He Q.P., Adaptive Outlier Detection and Classification for Online Soft Sensor Update. 2012 International Symposium on Advanced Control of Chemical Processes, July 2012, Singapore;
  35. Galicia H.J., Wang J. & He Q.P., A Comprehensive Evaluation of Statistics Pattern Analysis Based Process Monitoring. 2012 International Symposium on Advanced Control of Chemical Processes, July 2012, Singapore;
  36. 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;
  37. 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;
  38. 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;
  39. Zhang R., Armstead III F., He Q.P. and Wang J. (2012) Bridging gaps between research and education in biofuel technologies, Research Based Undergraduate Science Teaching Conference II, May 20-22, 2012, Tuscaloosa, AL;
  40. Grizzle W.E., Otali D., He Q.P. & Stockard C.R. (2012) Effects on immunorecognition of transfer of cells from 10% NBF to 70% ethanol, American Association for Cancer Research (AACR) Annual Meeting, March 31 – April 4, 2012, Chicago, IL;
  41. Grizzle W.E., Otali D., He Q.P. & Stockard C.R. (2012) Effects on immunorecognition of transfer of cells from 10% NBF to 70% ethanol, Annual Biospecimen Research Network (BRN) Symposium, February 22-23, Bethesda, MD;
  42. Armstead F., Wang J. & He Q.P. (2011)  Integrating biofuels education into chemical engineering curriculum, 2011 NOBCChE southeast/southwest regional meeting, Nov. 11 – 12, 2011, Auburn, AL;
  43. Hepburn T., Wang J. & He Q.P. (2011)  Renewable energy education in the United States, 2011 NOBCChE southeast/southwest regional meeting, Nov. 11 – 12, 2011, Auburn, AL;
  44. Grizzle WE, Steg AD, He QP, Steciuk MR, Byan-Parker S, Johnson MR, Grunda JM. (2011) Differential Expression of Breast Cancer-Associated Genes between Stage- and Age-Matched Tumor Specimens from African- and Caucasian-American Women Diagnosed with Breast Cancer, The 2011 CTRC-AACR San Antonio Breast Cancer Symposium, December 6-10, 2011, San Antonio, TX;
  45. Galicia H.J., He Q.P. & Wang J. (2011), Fault detection and diagnosis in the Statistics Pattern Analysis framework. AIChE annual meeting, Oct. 16-21, 2011, Minneapolis, MN;
  46. Galicia H.J., He Q.P. & Wang J. (2011), Online outlier detection with a Bayesian supervisory approach for recursive soft sensor update. AIChE annual meeting, Oct. 16-21, 2011, Minneapolis, MN;
  47. 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;
  48. Zhou J., Jones J., Wang H., Hardy S., Austin D., He Q.P., Turner T., Wells A., Grizzle W., Yates C., Clinical and Biological Significance of Nuclear Kaiso in Widespread Prostate Cancer. Department of Defense, Innovative Minds in Prostate Cancer Research, March 9-12, 2011, Orlando, FL;
  49. Wang H., Jones J., He Q.P., Hardy S., Grizzle W.E., Turner T. and Yates C., Frequent loss of KISS1 and KISS1R expression in prostate cancer: KISS1 decreases cells motility and reduces cell anoikis-resistance in prostate cancer, 16th Annual UAB Health Disparities Research Symposium 2011, April 25-26, 2011,  Birmingham, AL;
  50. He Q.P. and Wang J. (2010), Multivariate Statistical Process Monitoring based on Statistics Pattern Analysis, AIChE Annual Meeting, November 7-12, 2010, Salt Lake City, UT;
  51. Galicia H.J., He Q.P., Wang J., Hodges R.E., Krishnagopalan G.A. and Cullinan H.T. (2010) Outlier detection and process monitoring with application to a recursive soft sensor update for digester control, AIChE Annual Meeting, November 7-12, 2010, Salt Lake City, UT;
  52. Liang M., He Q.P. and Wang J.(2010), Pseudo-continuous operation: an effective way to improve ethanol tolerance of Pichia stipitis in hexose/pentose fermentation, 2010 SIM Annual Meeting And Exhibition, August 1-5, 2010, San Francisco, CA;
  53. Liang M., He Q.P. and Wang J.(2009), Improving Ethanol Tolerance of Pichia Stipitis Via Continuous Fermentation with Cell Retention, AIChE Annual Meeting, November 8-13, 2009. Nashville, TN;
  54. Galicia H.J., He Q.P., Wang J., Hodges R.E, Krishnagopalan G.A and Cullinan H.T.(2009), A Multi-Model Recursive Dynamic Soft Sensor for Digester Control, AIChE Annual Meeting, November 8-13, 2009. Nashville, TN;
  55. He Q.P. and Wang J.(2009), Statistics Pattern Analysis and Its Application to Semiconductor Process Monitoring, AIChE Annual Meeting, November 8-13, 2009. Nashville, TN;
  56. He Q.P. and Wang J. (2009), Valve Stiction Modeling: Data-Driven Vs. First Principles, AIChE Annual Meeting, November 8-13, 2009. Nashville, TN;
  57. He Q.P. and Wang J. (2009),  Fundamental properties of statistics pattern analysis, AEC/APC Symposium XXI, Ann Arbor, MI, Sep 28 – Oct 1, 2009;
  58. Wang J., He Q.P. and Edgar T.F. (2009),  Control Performance Monitoring for EWMA Controllers, AEC/APC Symposium XXI, Ann Arbor, MI, Sep 28 – Oct 1, 2009;
  59. Grizzle W.E., Jhala N.C., Eloubeidi M.A., Christein J.D.,  Arnoletti J.P., Oelschlager D.K., Wang J., He Q.P., Vickers S. M. (2009) Cytokine Analysis of EUS-FNAs of the Pancreas Using Multiplex Immunoassays, The 2009 NCI Translational Science Meeting, Vienna, VA, November 5-7, 2009;
  60. He Q.P. & Wang J. (2008), Valve stiction detection and quantification in oscillatory control loops, AIChE 2008 Annual Meeting, Nov. 16-21, Philadelphia, PA;
  61. He Q.P. & Wang J. (2008), A new algorithm for spectrum alignment by maximizing correlations among signature peaks, AIChE 2008 Annual Meeting, Nov. 16-21, Philadelphia, PA;
  62. & Wang J. (2008), A Statistics Pattern Based Framework for Batch Process Monitoring, AIChE 2008 Annual Meeting, Nov. 16-21, Philadelphia, PA;
  63. He Q.P. & Wang J. (2008), A Novel Non-threaded FDC Framework for High-mix Semiconductor Manufacturing, AEC/APC Symposium XX, Sep. 4-8, Snowbird, Utah;
  64. 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;
  65. He Q.P. & Wang J. (2007), A study on confounding factors in clinical proteomics, AIChE 2007 Annual Meeting, Nov. 4-9, Salt Lake City, UT;
  66. Wang J., He Q.P. & Barnes III, M.N. (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;
  67. He Q.P. (2007), Fault detection using principal component based k-nearest-neighbor rule, AIChE 2007 Annual Meeting, Nov. 4-9, Salt Lake City, UT;
  68. 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;
  69. He Q.P. (2007), Fault Detection Using Principal Component Based k-Nearest-Neighbor Rule, AEC/APC Symposium XIX, Indian Wells, CA, Sep. 15-17, 2007;
  70. 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;
  71. 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;
  72. He Q.P. & Wang J. (2006), A Multivariate Fault Detection Method Using k-Nearest-Neighbor Rule, AEC/APC Symposium XVIII, Sept. 30 – Oct. 5, Westminster, CO;
  73. 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;
  74. He Q.P. (2005), Novel Multivariate Fault Detection Methods Using Mahalanobis Distance, AEC/APC Symposium XVII, CA, Sept. 24 – 29, Indian Wells;
  75. 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;
  76. 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;
  77. 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;
  78. He Q.P. & Qin S.J. (2004), Multivariate visualization in data analysis for process operations, AIChE 2004 Annual Meeting, Nov. 7 – 12, Austin, TX;
  79. 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;
  80. He Q.P., Qin S.J. & Toprac A.J. (2002), A new thermal model for the hot-wall low pressure chemical vapor deposition. AIChE 2002 Annual Meeting, Nov. 3-8, Indianapolis, IN;
  81. He Q.P., & Qin S. J., Modularized process monitoring and analysis software, Presented at TWMCC spring meeting, February 2001, Austin, TX;