Alexey Miroshnikov, Phd Email & Phone Number

Los Angeles, Ca, Us

Chicago, Illinois, United States

Conducting research with the focus on: ▫ Mathematics of AI/ML Explainability & Interpretability ▫ Mathematics of AI/ML Fairness ▫ Game Theory in ML & AI ▫ ML StabilityResearch papers: ▫ Self-interpretability of tree-based ML models. Foundations of Data Science (2024). https://www.aimsciences.org/article/doi/10.3934/fods.2024021 ▫ Explainability of ML fairness via optimal transport. Machine Learning Journal (2022). https://link.springer.com/article/10.1007/s10994-022-06213-9 ▫ Stability of AI explanations with coalition structures (analysis + probability). https://arxiv.org/abs/2102.10878v6 ▫ Coalitional game-theoretical explainers via sampling (analysis + statistics): https://arxiv.org/abs/arXiv:2303.10216 ▫ Bias mitigation with regressor distribution control (probability + ML): https://arxiv.org/abs/2111.11259Patents : ▫ AI/ML Explainability: (2024) https://image-ppubs.uspto.gov/dirsearch-public/print/downloadPdf/12050975 ▫ AI/ML Fairness (2024) https://image-ppubs.uspto.gov/dirsearch-public/print/downloadPdf/12002258Pending Patents : ▫ AI/ML Explainability: (2021) https://image-ppubs.uspto.gov/dirsearch-public/print/downloadPdf/20210383275 (2023) https://image-ppubs.uspto.gov/dirsearch-public/print/downloadPdf/20240281450 (2023) https://image-ppubs.uspto.gov/dirsearch-public/print/downloadPdf/20240281669 (2023) https://image-ppubs.uspto.gov/dirsearch-public/print/downloadPdf/20240281670 ▫ AI/ML Fairness (2021) https://image-ppubs.uspto.gov/dirsearch-public/print/downloadPdf/20220414766

Greater Chicago Area

Mathematics Department, Los Angeles, Ca

Conducting research in the area relevant to: • Mathematical and computational biology • Partial differential equations with applications to materials science• Statistics with applications to data scienceTeaching undergraduate classes in mathematics (Probability Theory, Mathematical Modelling, Multivariable Calculus, Introductory Programming Courses, Mathematics of Finance).

Department Of Biostatistics And Epidemiology, Umass Amherst, Ma

• Development and implementation of methods for statistical inference of demographic histories from next generation sequencing (genomic) data, publishing, etc.

Department Of Mathematics And Statistics, Umass Amherst, Ma

• Conducting research in the area relevant to analysis of partial differential equations (hyperbolic conservation laws, nonlinear solid mechanics, publishing, etc)• Teaching undergraduate classes in mathematics

Iacm - Forth, Crete, Greece

• Conducting research relevant to mathematical analysis of the cavitation problem in elastic materials.

• Taught undergraduate classes. • Implemented parallel computer codes for simulation of turbulent fluid flows (2003, 2005).

Greater Chicago Area

Developed parallel computer codes for sensitivity analysis of LES models.

Ph.D., Mathematics

Thesis: Variational Schemes for Elastodynamics wit Polyconvex Energy. PhD Advisors: Athanasios Tzavaras (KAUST), Konstantina Trivisa (UMD).

M.S., Mathematics

M.S., Computer Science

B.S., Mechanical Engineering