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Dr. Yanyan He

Associate Professor

University of North Texas

Department of Mathematics

Email: Yanyan.He@unt.edu

Education

  • PhD, Florida State University, 2013
    Major: Applied and Computational Mathematics
    Dissertation: 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, 5 courses.
  • CSCE 6900 - Special Problems, 1 course.
  • MATH 2700 - Linear Algebra and Vector Geometry, 4 courses.
  • MATH 3350 - Introduction to Numerical Analysis, 4 courses.
  • MATH 3410 - Differential Equations I, 2 courses.
  • MATH 3996 - Honors College Mentored Research Experience, 2 courses.
  • MATH 5290 - Numerical Methods, 5 courses.
  • MATH 5900 - Special Problems, 17 courses.
  • MATH 6900 - Special Problems, 1 course.
  • MATH 6950 - Doctoral Dissertation, 5 courses.

Teaching at Other Institutions

  • New Mexico Tech, MATH 411 Numerical Linear Algebra, Spring 2019.
  • New Mexico Tech, MATH 352 Basic Concepts of Mathematics, Fall 2018.
  • New Mexico Tech, MATH 410 Numerical Methods, Fall 2018.
  • New Mexico Tech, MATH 335 Ordinary differential equations, Fall 2017.

Directed Student Learning

  • Dissertation Committee Member, Mathematics. (2026).
  • Dissertation Committee Member, "Blockchain computing and applications," Computer Science and Engineering. (August 2025).
  • Directed Individual/Independent Study, "Surrogate construction," Mathematics. (September 2024).
  • Dissertation Committee Member, "Creation of lifelike human avatars with mobility," Computer Science and Engineering. (May 2024).
  • Dissertation Committee Chair, "Reliable design and data fusion using Dempster-Shafer theory," Mathematics. (January 2024).
  • Dissertation Committee Chair, "Mixed uncertainty propagation," Mathematics. (August 2023).
  • Dissertation Committee Member, "Towards Dynamic Network Analysis: Benchmarks, Applications, and Algorithms," Computer Science and Engineering. (December 20, 2022).
  • Dissertation Committee Member, "On Accurate and Efficient Numerical Schemes for Energy Based Systems with Applications to Liquid Crystals and Mixtures of Fluids," Mathematics. (September 2020 - May 2025).
  • Master's Thesis Committee Member, "Jump diffusion option valuation in discrete time," Mathematics. (2024 - May 2024).
  • Dissertation Committee Member, "Land cover segmentation using deep learning techniques," Computer Science and Engineering. (August 1, 2020 - December 2024).
  • 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 (Non-thesis Master Student Advisor), 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).

Awards and Honors

  • TUF Award, UNT. (December 22, 2025).
  • faculty research award, UNT Math. (2023).

Research

Published Intellectual Contributions

    Conference Proceeding

  • Chen, M., He, Y., Chavarri, I., Waldrop, L. Distance between m-functions in Dempster-Shafer Theory. In: Huynh, VN., Honda, K., Le, B., Inuiguchi, M., Huynh, H.T. (eds) Integrated Uncertainty in Knowledge Modeling and Decision Making. IUKM 2025. Lecture Notes in Computer Science, vol 15586. Springer.
  • 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).
  • Badruddoja, S., Dantu, R., He, Y., Thompson, M., Salau, A., Upadhyay, K. (2022). Smarter Contracts to Predict using Deep-Learning Algorithms. 2022 Fourth International Conference on Blockchain Computing and Applications (BCCA). 280-288. IEEE. https://doi.org/10.1109/bcca55292.2022.9922240
  • 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., Battista, N., Waldrop, L. (2024). Mixed Uncertainty Analysis on Pumping by Peristaltic Hearts using Dempster-Shafer Theory. 89 (1) 13. Journal of Mathematical Biology.
  • 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), SIAM CSE, Uncertainty Analysis using Surrogates and Dempster-Shafer Theory, Fort Worth, United States of America. (2025 - 2025).
  • He, Y. (Author & Presenter), AMS Fall Central Sectional Meeting, Uncertainty propagation and sensitivity analysis for biological systems, San Antonio, United States of America. (2024 - 2024).
  • 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, 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. (2022 - 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. (2022 - 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. (2021 - 2024).
  • He, Y. (Principal), "Material Design under Uncertainty (Funded to UNT)," sponsored by Army Research Laboratory, Federal, $59727 Funded. (2020 - 2020).
  • He, Y. (Principal), "Material Design Under Uncertainty (Funded to New Mexico Tech)," sponsored by Army Research Laboratory, Federal, $276111 Funded. (2016 - 2020).
  • He, Y. (Principal), "ALLIANCE FOR MULTISCALE MODELING OF ELECTRONIC MATERIALS," sponsored by The University of Utah, NFP, Funded. (2020 - 2020).
  • He, Y. (Principal), "Material Design under Uncertainty (Funded to UNT)," sponsored by Army Research Laboratory, Federal, Funded. (2020 - 2020).
  • He, Y. (Principal), "Material Design Under Uncertainty (Funded to New Mexico Tech)," sponsored by Army Research Laboratory, Federal, Funded. (2016 - 2020).

Service

University Service

  • Committee Member, TFAC. (September 2025 - Present).
  • Committee Member, Graduate Affairs Committee. (September 2024 - 2025).
  • 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 (Panelist), New Faculty Orientation. (August 12, 2020).

Public Service

  • Other (Topic leader), AI-camp with Mark Cuban Foundation. Denton, Texas. (October 31, 2020 - October 31, 2020).
  • Other (Judge), 65th New Mexico Science and Engineering Fair. (2017 - 2017).

Professional Service

  • Other (Conference session co-organizer), SIAM CSE. Fort Worth, (2025 - 2025).
  • Reviewer, Journal Article, Several Mathematics Journals. (2017 - 2025).
  • Reviewer, Book, MAA. Denton, Texas. (April 1, 2020).
  • Reviewer, Grant Proposal, NSF. Alexandria, Virginia. (March 2, 2020 - March 4, 2020).