Faculty Profile

Jianguo Liu

Title
Associate Professor
Department
Mathematics
College
College of Science

    

Education

PhD, Cornell University, 1994.
Major: Applied Mathematics
MS, Cornell University, 1991.
Major: Mathematics
MS, Xiangtan University, Xiangtan, China, 1985.
Major: Computational Mathematics
BS, Xiangtan University, Xiangtan, China, 1982.
Major: Computational Mathematics

Current Scheduled Teaching*

MATH 3850.001, Mathematical Modeling, Spring 2024 Syllabus
MATH 3850.201, Mathematical Modeling, Spring 2024 Syllabus

* Texas Education Code 51.974 (HB 2504) requires each institution of higher education to make available to the public, a syllabus for undergraduate lecture courses offered for credit by the institution.

Previous Scheduled Teaching*

MATH 3410.001, Differential Equations I, Fall 2023 Syllabus SPOT
MATH 3850.001, Mathematical Modeling, Fall 2023 Syllabus SPOT
MATH 3410.002, Differential Equations I, Summer 5W2 2023 Syllabus
MATH 3350.001, Introduction to Numerical Analysis, Summer 5W2 2023 Syllabus
MATH 3850.001, Mathematical Modeling, Spring 2023 Syllabus SPOT
MATH 3850.201, Mathematical Modeling, Spring 2023 Syllabus SPOT
MATH 5900.705, Special Problems, Spring 2023
MATH 3410.001, Differential Equations I, Fall 2022 Syllabus SPOT
MATH 3850.001, Mathematical Modeling, Fall 2022 Syllabus SPOT
MATH 3680.001, Applied Statistics, Summer 5W2 2022 Syllabus SPOT
MATH 3410.002, Differential Equations I, Summer 5W2 2022 Syllabus SPOT
MATH 3850.001, Mathematical Modeling, Spring 2022 Syllabus SPOT
MATH 3850.201, Mathematical Modeling, Spring 2022 Syllabus SPOT
MATH 4900.702, Special Problems, Spring 2022
MATH 5900.706, Special Problems, Spring 2022
MATH 3850.001, Mathematical Modeling, Fall 2021 Syllabus SPOT
MATH 5210.001, Numerical Analysis, Fall 2021 Syllabus SPOT
MATH 3350.001, Introduction to Numerical Analysis, Summer 5W2 2021 Syllabus SPOT
MATH 3850.001, Mathematical Modeling, Spring 2021 Syllabus SPOT
MATH 2700.009, Linear Algebra and Vector Geometry, Fall 2020 Syllabus SPOT
MATH 3850.001, Mathematical Modeling, Fall 2020 Syllabus SPOT
MATH 2700.003, Linear Algebra and Vector Geometry, Summer 5W2 2020 Syllabus SPOT
MATH 2730.002, Multivariable Calculus, Summer 5W2 2020 Syllabus SPOT
MATH 2730.004, Multivariable Calculus, Spring 2020 Syllabus
MATH 2730.201, Multivariable Calculus, Spring 2020 Syllabus
MATH 3850.001, Mathematical Modeling, Fall 2019 Syllabus SPOT
MATH 5210.001, Numerical Analysis, Fall 2019 Syllabus SPOT
MATH 3410.001, Differential Equations I, Summer 5W1 2019 Syllabus SPOT
MATH 2700.001, Linear Algebra and Vector Geometry, Summer 5W1 2019 Syllabus SPOT
MATH 3850.001, Mathematical Modeling, Spring 2019 Syllabus SPOT
MATH 4900.704, Special Problems, Spring 2019
MATH 3850.001, Mathematical Modeling, Fall 2018 Syllabus SPOT
MATH 4900.708, Special Problems, Fall 2018
MATH 3410.004, Differential Equations I, Summer 5W2 2018 Syllabus SPOT
MATH 3350.001, Introduction to Numerical Analysis, Summer 5W2 2018 Syllabus SPOT
MATH 4900.702, Special Problems, Summer 5W2 2018
MATH 3850.001, Mathematical Modeling, Spring 2018 Syllabus SPOT
MATH 4900.703, Special Problems, Spring 2018
MATH 5900.711, Special Problems, Spring 2018
MATH 3850.001, Mathematical Modeling, Fall 2017 Syllabus SPOT
MATH 5210.001, Numerical Analysis, Fall 2017 SPOT
MATH 5900.717, Special Problems, Fall 2017
MATH 3410.003, Differential Equations I, Summer 5W2 2017 Syllabus SPOT
MATH 2730.001, Multivariable Calculus, Summer 5W2 2017 Syllabus SPOT
MATH 5900.702, Special Problems, Summer 5W1 2017
MATH 3350.001, Introduction to Numerical Analysis, Spring 2017 Syllabus SPOT
MATH 3850.001, Mathematical Modeling, Spring 2017 Syllabus SPOT
MATH 5900.718, Special Problems, Spring 2017
MATH 3350.001, Introduction to Numerical Analysis, Fall 2016 Syllabus SPOT
MATH 3850.001, Mathematical Modeling, Fall 2016 Syllabus SPOT
MATH 5900.717, Special Problems, Fall 2016
MATH 3410.003, Differential Equations I, Summer 5W2 2016 Syllabus SPOT
MATH 2730.001, Multivariable Calculus, Summer 5W2 2016 Syllabus SPOT
MATH 3850.001, Mathematical Modeling, Spring 2016 Syllabus SPOT
MATH 5220.001, Numerical Analysis, Spring 2016 SPOT
MATH 3410.001, Differential Equations I, Fall 2015 Syllabus SPOT
MATH 5210.001, Numerical Analysis, Fall 2015 SPOT
MATH 3410.001, Differential Equations I, Summer 5W1 2015 Syllabus SPOT
MATH 3410.002, Differential Equations I, Summer 5W1 2015 Syllabus SPOT
MATH 3350.001, Introduction to Numerical Analysis, Spring 2015 Syllabus
MATH 3850.001, Mathematical Modeling, Spring 2015 Syllabus
MATH 3350.001, Introduction to Numerical Analysis, Fall 2014 Syllabus
MATH 2700.001, Linear Algebra and Vector Geometry, Fall 2014 Syllabus
MATH 2730.001, Multivariable Calculus, Summer 5W2 2014 Syllabus
MATH 3350.001, Introduction to Numerical Analysis, Spring 2014 Syllabus
MATH 5950.718, Master's Thesis, Spring 2014
MATH 3850.001, Mathematical Modeling, Spring 2014 Syllabus
MATH 5900.718, Special Problems, Spring 2014
MATH 2100.001, Functions and Modeling for Secondary Mathematics Instruction, Fall 2013 Syllabus
MATH 4900.713, Special Problems, Fall 2013
MATH 4910.704, Special Problems, Fall 2013
MATH 5900.713, Special Problems, Fall 2013
MATH 6710.001, Topics in Applied Mathematics, Fall 2013
MATH 1710.004, Calculus I, Summer 5W1 2013 Syllabus
MATH 4900.703, Special Problems, Summer 5W2 2013
MATH 5900.001, Special Problems, Summer 10W 2013
MATH 3350.001, Introduction to Numerical Analysis, Spring 2013 Syllabus
MATH 5950.705, Master's Thesis, Spring 2013
MATH 5950.706, Master's Thesis, Spring 2013
MATH 4900.703, Special Problems, Spring 2013
MATH 4900.706, Special Problems, Spring 2013
MATH 5900.705, Special Problems, Spring 2013
MATH 5900.712, Special Problems, Spring 2013
MATH 5900.724, Special Problems, Spring 2013
MATH 1720.003, Calculus II, Fall 2012 Syllabus
MATH 1720.009, Calculus II, Fall 2012 Syllabus
MATH 6950.703, Doctoral Dissertation, Fall 2012
MATH 3350.001, Introduction to Numerical Analysis, Fall 2012 Syllabus
MATH 5950.702, Master's Thesis, Fall 2012
MATH 5900.713, Special Problems, Fall 2012
MATH 5910.705, Special Problems, Fall 2012
MATH 1100.002, Algebra, Summer 5W1 2012
MATH 3410.001, Differential Equations I, Summer 5W1 2012
MATH 6950.702, Doctoral Dissertation, Spring 2012
MATH 4980.001, Experimental Course, Spring 2012 Syllabus
MATH 3350.001, Introduction to Numerical Analysis, Spring 2012 Syllabus
MATH 5900.712, Special Problems, Spring 2012
MATH 6950.703, Doctoral Dissertation, Fall 2011
MATH 3350.001, Introduction to Numerical Analysis, Fall 2011 Syllabus
MATH 6710.001, Topics in Applied Mathematics, Fall 2011
MATH 1710.004, Calculus I, Summer 5W1 2011
MATH 6950.702, Doctoral Dissertation, Spring 2011
MATH 3350.001, Introduction to Numerical Analysis, Spring 2011 Syllabus
MATH 2730.005, Multivariable Calculus, Spring 2011 Syllabus
MATH 5900.712, Special Problems, Spring 2011
MATH 3410.001, Differential Equations I, Fall 2010
MATH 6950.703, Doctoral Dissertation, Fall 2010
MATH 3350.001, Introduction to Numerical Analysis, Fall 2010
MATH 5900.764, Special Problems, Fall 2010
MATH 3410.001, Differential Equations I, Summer 5W1 2010
MATH 3410.001, Differential Equations I, Spring 2010
MATH 3350.001, Introduction to Numerical Analysis, Spring 2010
MATH 5900.718, Special Problems, Spring 2010
MATH 6900.714, Special Problems, Spring 2010
MATH 1720.210, Calculus II, Fall 2009
MATH 5900.701, Special Problems, Fall 2009
MATH 3410.001, Differential Equations I, Summer 5W1 2009
MATH 2700.001, Linear Algebra and Vector Geometry, Summer 5W1 2009
MATH 1710.200, Calculus I, Spring 2009
MATH 4450.001, Introduction to the Theory of Matrices, Spring 2009
MATH 5500.001, Introduction to the Theory of Matrices, Spring 2009
MATH 5900.718, Special Problems, Spring 2009
MATH 1710.200, Calculus I, Fall 2008
MATH 1710.210, Calculus I, Fall 2008
MATH 6950.703, Doctoral Dissertation, Fall 2008
MATH 6900.726, Special Problems, Fall 2008
MATH 6950.709, Doctoral Dissertation, Summer 5W1 2008
MATH 1710.009, Calculus I, Spring 2008
MATH 6950.714, Doctoral Dissertation, Spring 2008
MATH 3350.001, Introduction to Numerical Analysis, Spring 2008
MATH 5900.718, Special Problems, Spring 2008
MATH 5910.702, Special Problems, Spring 2008
MATH 1710.050, Calculus I, Fall 2007
MATH 6950.703, Doctoral Dissertation, Fall 2007
MATH 3350.001, Introduction to Numerical Analysis, Fall 2007
MATH 3410.001, Differential Equations I, Summer 5W1 2007
MATH 1680.001, Elementary Probability and Statistics, Summer 5W1 2007
MATH 1710.007, Calculus I, Spring 2007
MATH 6950.714, Doctoral Dissertation, Spring 2007
MATH 3350.001, Introduction to Numerical Analysis, Spring 2007
MATH 1710.025, Calculus I, Fall 2006
MATH 3350.001, Introduction to Numerical Analysis, Fall 2006
MATH 6900.726, Special Problems, Fall 2006
MATH 1400.002, College Math with Calculus, Summer 5W2 2006
MATH 1680.001, Elementary Probability and Statistics, Summer 5W2 2006
MATH 6900.774, Special Problems, Summer 5W2 2006
MATH 1710.009, Calculus I, Spring 2006
MATH 1710.025, Calculus I, Spring 2006
MATH 5900.718, Special Problems, Spring 2006
MATH 5910.702, Special Problems, Spring 2006
MATH 1710.003, Calculus I, Fall 2005
MATH 1400.003, College Math with Calculus, Fall 2005
MATH 1650.623, Pre Calculus, Fall 2005
MATH 5900.718, Special Problems, Fall 2005
MATH 6900.726, Special Problems, Fall 2005
MATH 1190.001, Business Calculus, Summer 5W2 2005
MATH 1400.001, College Math with Calculus, Summer 5W2 2005
MATH 1710.022, Calculus I, Spring 2005
MATH 1680.007, Elementary Probability and Statistics, Spring 2005
MATH 6940.718, Individual Research, Spring 2005
MATH 5900.718, Special Problems, Spring 2005
MATH 1680.006, Elementary Probability and Statistics, Fall 2004
MATH 6940.708, Individual Research, Fall 2004
MATH 6940.723, Individual Research, Fall 2004
MATH 1650.623, Pre Calculus, Fall 2004
MATH 5900.718, Special Problems, Fall 2004

* Texas Education Code 51.974 (HB 2504) requires each institution of higher education to make available to the public, a syllabus for undergraduate lecture courses offered for credit by the institution.

Published Publications

Published Intellectual Contributions

Abstracts and Proceedings
Liu, J. (2010). " Earth Observing-1 (EO-1) Hyperspectral Image Classification Using Support Vector Machine".
Book Chapter
Liu, J. (2013). "Geometric Incremental Support Vector Machine for Object Detection from Capsule Endoscopy Videos".
Conference Proceeding
Liu, J., Vyas, A., Rebello, E. (2023). A Lagrangian Approach to Loss Function Optimization on Traffic Network Regularity. IEEE.
Liu, J., Li, Z. (2023). Fake and Untrue News Dataset (FUND): An Expanded Dataset for Fake News Classification. IEEE.
Liu, J., Li, Z., Yang, J. (2022). An Undersampled Model for Automated Sleep Stage Scoring Using EEG Data. Association for Computing Machinery New York, NY, United States.
Liu, J., Jiang, J. (2020). Predicting Stock Market N-Days Ahead Using SVM Optimized by Selective Thresholds. ACM International Conference Proceeding Series.
Liu, J., Woodson, B. (2019). Deep Learning Classification for Epilepsy Detection Using a Single Channel Electroencephalography (EEG). ACM International Conference Proceeding Series.
Liu, J. (2018). Instance Selection in the Projected High Dimensional Feature Space for SVM.
Liu, J. (2017). US Financial Market Forecasting using Data Classification With Features From Global Markets.
Yuan, X., Abouelenien, M., Giritharan, B., Liu, J., Yuan, X. (2013). Geometric Incremental Support Vector Machine for Object Detection from Capsule Endoscopy Videos.
Echeverria, E., Luo, G., Liu, J., Mei, W., Pasquale, F., Colon Santanta, J., Dowben, P., Zhang, L., Kelber, J. (2013). Magneto-Resistance in thin film boron carbides. APS Meeting Abstracts.
Giritharan, B., Yuan, X., Liu, J., Buckles, B., Oh, J., Tang, S. J. (2008). Bleeding detection from capsule endoscopy videos. Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE. 4780--4783.
Liu, J., Yuan, X., Buckles, B. (2008). Breast cancer diagnosis using level-set statistics and support vector machines. Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE. 3044--3047.
Quintanilla, J. A., Liu, J., D'Souza, N. A., Mirshams, R. A. (2007). Integration of Engineering Concepts in Freshman Calculus. AC 2007-1878.
Journal Article
Zhang, J., Xie, S., Gonzales, S., Liu, J., Wang, X. (2020). A fast and powerful eQTL weighted method to detect genes associated with complex trait using GWAS summary data. Genetic Epidemiology. Wiley.
Mai, B., Liu, J. (2019). Information Security Risks Propagation and Management in Supply Chain: An Analytical Approach. Journal of Information System Security. 15(1), .
Liu, J. (2016). Epilepsy Detection Using EEG With Different Time Frames. 4, . Science and Engineering Publishing Company.
Liu, J. (2015). Does model misspecification matter for hedging? A computational finance experiment based approach. The International Journal of Finance. 2(3), . World Scientific.
Liu, J., Bao, X., Hrovat, D. A., Borden, W. T. (2015). Theoretical Analysis of the Fragmentation of (CO)5: A Symmetry-Allowed Highly Exothermic Reaction that Follows a Stepwise Pathway.. The Journal of Organic Chemistry. 80(23), 11788-93.
Liu, J. (2013). "A Leave-One-Feature-Out Wrapper Method for Feature Selection in Data Classification".
Abouelenien, M., Yuan, X., Giritharan, B., Liu, J., Tang, S. (2013). Cluster-based sampling and ensemble for bleeding detection in capsule endoscopy videos. American Journal of Science and Engineering. 2(1), 24--32.
Liu, J. (2012). "A Hybrid Anomaly Detection Framework in Cloud Computing using One-Class and Two-Class Support Vector Machines".
Liu, J. (2012). "A Self-Evolving Anomaly Detection Framework for Developing Highly Dependable Utility Clouds".
Liu, J. (2012). "AAD: Adaptive Anomaly Detection System for Cloud Computing Infrastructures".
Liu, J. (2012). "AFD: Adaptive Failure Detection System for Cloud Computing Infrastructures".
Liu, J. (2011). " Computational Error Control in Numerical Solution of Differential Equations ".
Liu, J. (2011). " Hyperspectral Image Classification Using Support Vector Machines with an Efficient Principal Component Analysis Scheme ".
Liu, J. (2009). "A Fast Geometric Algorithm for Finding the Minimum Distance between Two Convex Hulls".
Liu, J. (2009). "Incremental Classification Learning for Anomaly Detection in Medical Images".
Liu, J. (2009). "Obscure Bleeding Detection in Endoscopy Images Using Support Vector Machines".
Liu, J., Yuan, X. (2009). Obscure bleeding detection in endoscopy images using support vector machines. Optimization and Engineering. 10(2), 289--299. Springer US.
Liu, J. (2008). "Automated Breast Cancer Diagnosis using Level-set Statistics and Support Vector Machines".
Liu, J. (2008). "Bleeding Detection from Capsule Endoscopy Videos".
Liu, J. (2007). "Integration of Engineering Concepts in Freshman Calculus".
Liu, J., Yuan, X. (2007). Obscure bleeding detection in endoscopy images using support vector machine. Other. 49, 383. UNIVERSAL ACADEMY PRESS, INC..
Liu, J. (2006). "Geometric Methods for Support Vector Machines".
Liu, J., Lei, J., Magtoto, N., Rudenja, S., Garza, M., Kelber, J. (2005). The effects of an iodine surface layer on Ru reactivity in air and during Cu electrodeposition. Journal of the Electrochemical Society. 152(2), G115–G121. The Electrochemical Society.
Garza, M., Liu, J., Magtoto, N., Kelber, J. (2004). Adhesion behavior of electroless deposited Cu on Pt/Ta silicate and Pt/SiO 2. Applied Surface Science. 222(1), 253–262. North-Holland.
Liu, J. (2003). "Improving the Accuracy of Boundary Element Method for Parasitic Extraction".
Liu, J. (2002). " A New Trust-region Algorithm for Equality Constrained Optimization".
Liu, J. (2002). "A Fast Hierarchical Algorithm for 3-D Capacitance Extraction".
Liu, J. (2002). "An Interior Trust Region Algorithm for Nonlinear Minimization with Linear Constraints".
Liu, J. (2000). " A Quasi-Newton Quadratic Penalty Method for Minimization Subject to Nonlinear Equality Constraints".
Liu, J. (2000). " An Exterior Newton Method for Large-scale Convex Quadratic Programming".
Liu, J. (1999). " An Interior Newton Method for Quadratic Programming".

Awarded Grants

Contracts, Grants and Sponsored Research

Sponsored Research
Liu, J. (Co-Principal), Wang, X. (Co-Principal), "Novel Methodological Strategies in Genetic Discovery and Risk Prediction for Schizophrenia," Sponsored by College of Science, UNT, University of North Texas, $10000 Funded. (June 1, 2019December 31, 2019).
,
Overall
Summative Rating
Challenge and
Engagement Index
Response Rate

out of 5

out of 7
%
of
students responded
  • Overall Summative Rating (median):
    This rating represents the combined responses of students to the four global summative items and is presented to provide an overall index of the class’s quality. Overall summative statements include the following (response options include a Likert scale ranging from 5 = Excellent, 3 = Good, and 1= Very poor):
    • The course as a whole was
    • The course content was
    • The instructor’s contribution to the course was
    • The instructor’s effectiveness in teaching the subject matter was
  • Challenge and Engagement Index:
    This rating combines student responses to several SPOT items relating to how academically challenging students found the course to be and how engaged they were. Challenge and Engagement Index items include the following (response options include a Likert scale ranging from 7 = Much higher, 4 = Average, and 1 = Much lower):
    • Do you expect your grade in this course to be
    • The intellectual challenge presented was
    • The amount of effort you put into this course was
    • The amount of effort to succeed in this course was
    • Your involvement in course (doing assignments, attending classes, etc.) was
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