Dr. Yanyan He
University of North Texas
Mathematics
Email:

Education

PhD, Florida State University, 2013.
Major: Applied and Computational Mathematics
Dissertation Title: Uncertainty quantification and data fusion based on Dempster-Shafer theory
MS, Florida State University, 2010.
Major: Applied and Computational Mathematics
MS, Huazhong University of Science and Technology, 2007.
Major: Computational Mathematics
BS, Huazhong University of Science and Technology, 2004.
Major: Computational Mathematics

Teaching

Teaching Experience

University of North Texas
CSCE 4930, Topics in Computer Science and Engineering, 2 courses.
CSCE 5230, Methods of Numerical Computations, 4 courses.
CSCE 6900, Special Problems, 1 course.
MATH 2700, Linear Algebra and Vector Geometry, 1 course.
MATH 3350, Introduction to Numerical Analysis, 4 courses.
MATH 3410, Differential Equations I, 1 course.
MATH 5290, Numerical Methods, 4 courses.
MATH 5900, Special Problems, 12 courses.

Teaching at Other Institutions

New Mexico Tech, Numerical Linear Algebra, MATH 411, Spring 2019.

New Mexico Tech, Basic Concepts of Mathematics, MATH 352, Fall 2018.

New Mexico Tech, Numerical Methods, MATH 410, Fall 2018.

New Mexico Tech, Ordinary differential equations, MATH 335, Fall 2017.

Directed Student Learning

Supervised Research,"Mixed uncertainty propagation," Mathematics. (August 2023 – Present).

Dissertation Committee Member,"Graph theory," Computer Science and Engineering. (December 20, 2022 – Present).

Dissertation Committee Member,"Land cover segmentation using deep learning techniques," Computer Science and Engineering. (August 1, 2020 – Present).

Master's Thesis Committee Chair,"Bayesian Neural Networks," Mathematics. (January 2022 – August 2023).

Dissertation Committee Member,"Topic on using smart contract to deal with ambiguities in service level agreements," Computer Science and Engineering. (April 2021 – July 2023).

Dissertation Committee Member,"Topic on smart contracts using machine learning techniques," Computer Science and Engineering. (April 2021 – July 2023).

Dissertation Committee Member,"NLP -- hateful content in social media," Computer Science and Engineering. (October 1, 2020 – May 2023).

Master's Thesis Committee Member,"Improved analysis of GWAS summary statistics with a novel gene-based association test," Mathematics. (December 2021 – June 2022).

Master's Thesis Committee Chair,"Machine learning for prediction and sensitivity analysis," Mathematics. (January 1, 2021 – May 2022).

Supervised Research,"Survey on Neural Networks," Mathematics. (August 1, 2020 – August 31, 2020).

Supervised Research,"Derivatives of Gaussian Process," Mathematics. (August 1, 2020 – August 31, 2020).

Other, Computer Science and Engineering. (August 2019 – August 2020).

Master's Thesis Committee Member,"Correspondence of brain functional areas to different music genres," Mathematics. (June 29, 2020).

Dissertation Committee Chair,"Optimal allocation of computational resources based on Gaussian Process," Other - Outside UNT. (August 2017 – December 2019).

Supervised Research,"Data Fusion using Combination Rules," Mathematics. (September 2019 – October 2019).

Master's Thesis Committee Chair,"Data Analysis on Mathematics Achievement," Other - Outside UNT. (July 2017 – July 2019).

Supervised Research,"Combination Rules in Fuzzy Measure Theory," Other - Outside UNT. (January 2019 – May 2019).

Supervised Research,"Stochastic collocation approach with adaptive mesh refinement for parametric uncertainty analysis," Other - Outside UNT. (August 2016 – June 2018).

Supervised Research,"Uncertainty Quantification Softwares," Other - Outside UNT. (May 2017 – August 2017).

Supervised Research,"L1 Norm Optimization," Other - Outside UNT. (May 2017 – August 2017).

Supervised Research,"Optimal Allocation of the Computational Resources," Other - Outside UNT. (January 2017 – August 2017).

Research

Published Intellectual Contributions

Conference Proceeding
Upadhyay, K., Dantu, R., He, Y., Badruddoja, S., Salulu, A. (2022). Auditing Metaverse Requires Multimodal Deep Learning. Atlanta, GA: 2022 IEEE 4th International Conference on Trust, Privacy and Security in Intelligent Systems, and Applications (TPS-ISA).
Salau, A., Dantu, R., Morozov, K., Badruddoja, S., Upadhayay, K. (2022). Making Blockchain Validators Honest. 267-273. San Antanio, Texas: 2022 Fourth International Conference on Blockchain Computing and Applications (BCCA).
Badruddoja, S., Dantu, R., He, Y., Thompson, M., Salau, A., Upadyaya, K. (2022). Making Smart Contracts Predict and Scale. 127-134. San Antanio, Texas: 2022 Fourth International Conference on Blockchain Computing and Applications (BCCA).
Badruddoja, S., Dantu, R., He, Y., Salau, A., Upadyaya, K. (2022). Scalable Smart Contracts for Linear Regression Algorithm. 19-31. 2022 International Conference on Blockchain Technology and Emerging Applications.
Badruddoja, S., Dantu, R., He, Y., Thompson, M., Salau, A., Upadyaya, K. (2022). Smarter Contracts to Predict using Deep-Learning Algorithms. 280-288. San Antanio, Texas: 2022 Fourth International Conference on Blockchain Computing and Applications (BCCA).
Badruddoja, S., Dantu, R., He, Y., Thompson, M., Salau, A., Upadyaya, K. (2022). Trusted AI with Blockchain to Empower Metaverse. 237-244. San Antanio, Texas: 2022 Fourth International Conference on Blockchain Computing and Applications (BCCA).
Upadhyaya, K., Dantu, R., He, Y., Badruddoja, S., Salau, A. (2021). Can't Understand SLAs? Use the Smart Contract. New York: 2021 Third IEEE International Conference on Trust, Privacy and Security in Intelligent Systems and Applications (TPS-ISA).
Upadhyay, K., Dantu, R., He, Y., Salulu, A., Badruddoja, S. (2021). Make Consumers Happy by Defuzzifying the Service Level Agreements,. New York: 2021 Third IEEE International Conference on Trust, Privacy and Security in Intelligent Systems and Applications (TPS-ISA).
Upadhyaya, K., Dantu, R., He, Y., Badruddoja, S., Salau, A. (2021). Paradigm Shift from Paper Contracts to Smart Contracts,. New York: 2021 Third IEEE International Conference on Trust, Privacy and Security in Intelligent Systems and Applications (TPS-ISA).
Badruddoja, S., Dantu, R., He, Y., Upadhyay, K., Thompson, M. A. (2021). Making Smart Contracts Smarter. 2021 IEEE International Conference on Blockchain and Cryptocurrency (ICBC).
He, Y., Hussaini, M. Y. (2020). Constructing Belief Functions Using the Principle of Minimum Uncertainty. 6. Virtual: IEEE FUZZY, July 19-24, 2020.
Mirzargar, M., He, Y., Kirby, R. M. (2015). Application of uncertainty modeling frameworks to uncertain isosurface extraction. 336-349. Cham: Springer.
He, Y., Hussaini, M. Y. (2014). An optimal unified combination rule. 39-48. Cham: Springer.
Journal Article
He, Y., Hussaini, Y. (2023). Mixed Aleatory and Epistemic Uncertainty Propagation using Dempster-Shafer Theory. Journal of Computational and Applied Mathematics. 429, 115234. Journal of Computational and Applied Mathematics.
Chilleri, J., He, Y., Bedrov, D., Kirby, R. M. (2021). Optimal allocation of computational resources based on Gaussian process: Application to molecular dynamics simulations. Computational Materials Science. 188, 110178. Elsevier.
He, Y., Chilleri, J., O'Leary, S. K., Shur, M. S., Kirby, R. M. (2020). Sensitivity analysis for an electron transport system: application to the case of wurtzite gallium nitride. Journal of Computational Electronics. 19, 103-110. https://doi.org/10.1007/s10825-019-01424-1
Waldrop, L. D., He, Y., Hedrick, T. L., Rader, J. A. (2020). Functional Morphology of Gliding Flight I: Modeling Reveals Distinct Performance Landscapes Based on Soaring Strategies. Integrative and Comparative Biology. 60(5), 1283-1296. https://api.elsevier.com/content/abstract/scopus_id/85096814648
Rader, J. A., Hedrick, T. L., He, Y., Waldrop, L. D. (2020). Functional Morphology of Gliding Flight II. Morphology Follows Predictions of Gliding Performance. Integrative and Comparative Biology. 60(5), 1297-1308. https://api.elsevier.com/content/abstract/scopus_id/85096814520
Waldrop, L. D., He, Y., Battista, N. A., Neary Peterman, T., Miller, L. A. (2020). Uncertainty quantification reveals the physical constraints on pumping by peristaltic hearts.. Other. 17(170), 20200232.
Razi, M., Wang, R., He, Y., Kirby, R. M., Dal Negro, Luca, (2019). Optimization of Large-Scale Vogel Spiral Arrays of Plasmonic Nanoparticles. Plasmonics. 14(1), 253-261.
Waldrop, L. D., He, Y., Khatri, S. (2018). What Can Computational Modeling Tell Us about the Diversity of Odor-Capture Structures in the Pancrustacea?. Other. 44(12), 1084-1100.
Bhaduri, A., He, Y., Shields, M. D., Graham-Brady, L., Kirby, R. M. (2018). Stochastic collocation approach with adaptive mesh refinement for parametric uncertainty analysis. Journal of Computational Physics. 371, 732-750. https://api.elsevier.com/content/abstract/scopus_id/85044111499
He, Y., Razi, M., Forestiere, C., Dal Negro, L., Kirby, R. M. (2018). Uncertainty quantification guided robust design for nanoparticles’ morphology. Computer Methods in Applied Mechanics and Engineering. 336, 578-593. https://api.elsevier.com/content/abstract/scopus_id/85056362031
Forestiere, C., He, Y., Wang, R., Kirby, R. M., Dal Negro, Luca, (2016). Inverse Design of Metal Nanoparticles' Morphology. Other. 3(1), 68-78.
He, Y., Xiu, D. (2016). Numerical strategy for model correction using physical constraints. Journal of Computational Physics. 313, 617-634.
He, Y., Hussaini, M. Y., Gong, Y. U., Xiao, Y. (2016). Optimal unified combination rule in application of Dempster-Shafer theory to lung cancer radiotherapy dose response outcome analysis.. Other. 17(1), 4-11.
Chen, X., He, Y., Xiu, D. (2015). AN EFFICIENT METHOD FOR UNCERTAINTY PROPAGATION USING FUZZY SETS. SIAM Journal on Scientific Computing. 37(6), A2488-A2507.
He, Y., Mirzargar, M., Hudson, S., Kirby, R. M., Whitaker, R. T. (2015). AN UNCERTAINTY VISUALIZATION TECHNIQUE USING POSSIBILITY THEORY: POSSIBILISTIC MARCHING CUBES. Other. 5(5), 433-451.
Wang, C., Qiu, Z., He, Y. (2015). Fuzzy interval perturbation method for uncertain heat conduction problem with interval and fuzzy parameters. International Journal for Numerical Methods in Engineering. 104(5), 330-346.
Wang, C., Qiu, Z., He, Y. (2015). Fuzzy stochastic finite element method for the hybrid uncertain temperature field prediction. International Journal of Heat and Mass Transfer. 91, 512-519.
He, Y., Mirzargar, M., Kirby, R. M. (2015). Mixed aleatory and epistemic uncertainty quantification using fuzzy set theory. Other. 66, 1-15.
He, Y., Hussaini, M. Y., Ma, J., Shafei, B., Steidl, G. (2012). A new fuzzy c-means method with total variation regularization for segmentation of images with noisy and incomplete data. Pattern Recognition. 45(9), 3463-3471.
Chen, W., Cui, Y., He, Y., Yu, Y., Galvin, J., Hussaini, M. Y., Xiao, Y. (2012). Application of Dempster-Shafer theory in dose response outcome analysis. 57(17), 5575.

Presentations Given

Invited Talk

He, Y. (Author & Presenter), Chilleri, J. (Author), Bedrov, D. (Author), Kirby, R. M. (Author), SIAM Conference on Uncertainty Quantification, Optimal allocation of computational resources based on Gaussian Process, Munich, Germany, Germany. (2020 – 2020).

He, Y. (Presenter), Millican Colloquium, Numerical Approaches and Applications for Uncertainty Quantification, Department of Mathematics, UNT, GAB, United States of America. (2019 – 2019).

He, Y. (Author & Presenter), Non-probabilistic numerical approaches for uncertainty quantification, University of North Texas, United States of America. (2019 – 2019).

Oral Presentation

He, Y. (Author & Presenter), Battista, N. (Author), Waldrop, L. (Author), Joint Mathematical Meeting, Mixed Uncertainty Analysis on Pumping by Peristaltic Hearts using Dempster-Shafer Theory, San Francisco, United States of America. (2024 – 2024).

He, Y. (Author & Presenter), SIAM Conference on Computational Science and Engineering (CSE21), Data-driven surrogate construction based on optimal allocation of computational resources, SIAM, Virtual, United States of America. (2021 – 2021).

He, Y. (Presenter), ARL MSME CRA Seminar Series, Data-driven surrogate construction based on optimal allocation of computational resources and physical constraints, Army Research Laboratory, Virtual, United States of America. (2020).

He, Y. (Author & Presenter), Xiu, D. (Author), SIAM Conference on Computational Science and Engineering, Numerical Strategy for Model Correction using Physical Constraints., Atlanta, United States of America. (2017 – 2017).

Paper

He, Y. (Presenter), IEEE International Conference on Fuzzy Systems, Constructing Belief Functions Using the Principle of Minimum Uncertainty, Virtual, United States of America. (2020 – 2020).

Contracts, Grants and Sponsored Research

Grant - Research
He, Y. (Principal), Cain, J. (Co-Principal), "Collaborative Research: Using uncertainty quantification and validated computational models to analyze pumping performance of valveless, tubular hearts," Sponsored by National Science Foundation, Federal, $249453 Funded. (May 1, 2022 – April 30, 2025).
He, Y. (Principal), Waldrop, L. (Co-Principal), "Using uncertainty quantification and machine learning techniques to study the evolution of odor capture.," Sponsored by Army Research Office, Federal, $247995 Funded. (April 1, 2022 – March 31, 2025).
Waldrop, L. (Principal), He, Y. (Co-Principal), "Investigation of the role of head morphology on odor detection using computational modeling," Sponsored by Office of Naval Research, Federal, $474679 Funded. (May 1, 2021 – April 30, 2024).
He, Y. (Principal), "Material Design under Uncertainty (Funded to UNT)," Sponsored by Army Research Laboratory, Federal, $59727 Funded. (June 30, 2020 – November 8, 2020).
He, Y. (Principal), "Material Design Under Uncertainty (Funded to New Mexico Tech)," Sponsored by Army Research Laboratory, Federal, $276111 Funded. (November 2016 – May 2020).

Awards and Honors

faculty research award, UNT Math. (2023 – Present).

Service

University Service

Committee Member, CSCE Awards and Scholarship Committee. (September 2023 – May 2024).

Committee Member, Logic faculty search committee. (August 2023 – May 2024).

Committee Chair, Math Outreach Committee. (August 1, 2022 – May 1, 2024).

Committee Member, Math PDE Faculty Search Committee 2023. (August 1, 2022 – May 1, 2023).

Committee Member, Math Statistics Search Committee 2023. (August 1, 2022 – May 1, 2023).

Committee Member, CSCE Awards and Scholarship Committee. (September 2019 – September 2022).

Committee Member, Math faculty search committee 2022. (September 2021 – May 2022).

Committee Member, Math Outreach Committee. (May 1, 2020 – May 1, 2022).

Committee Member, CSCE Faculty Search Committee 2021. (September 2020 – May 2021).

Committee Member, Math faculty search committee 2021. (September 2020 – May 2021).

Committee Member, Applied Math Qualifying Exam Committee. (September 2019 – May 2021).

Committee Member, CSCE Faculty Search Committee 2020. (September 2019 – September 2020).

Committee Member, Math Postdoc Recruitment Group. (September 2019 – September 2020).

Other, New Faculty Orientation. (August 12, 2020).

Professional Service

Reviewer, Journal Article, Several Mathematics Journals. (2017 – 2023).

Reviewer, Book, MAA, Denton, Texas. (April 1, 2020).

Reviewer, Grant Proposal, NSF, Alexandria, Virginia. (March 2, 2020 – March 4, 2020).

Public Service

Other, AI-camp with Mark Cuban Foundation, Denton, Texas. (October 31, 2020 – October 31, 2020).

Other, 65th New Mexico Science and Engineering Fair. (2017 – 2017).