Zahra Zanjani Foumani

Education +1-949-***-**** ad3xwj@r.postjobfree.com 1 Orchestra Ln, Aliso Viejo, CA University of California Irvine Irvine, California Direct Ph.D. in Mechanical and Aerospace engineering, GPA: 3.943/4 Sep. 2021 - Present University of California Irvine Irvine, California Master of Science in Mechanical and Aerospace engineering, GPA: 3.943/4 Sep. 2021 - Jun 2023 University of Tehran Tehran, Iran

Bachelor of Science in Industrial Engineering, GPA: 3.94/4 Sep. 2016 - July.2020 Skills

Programming Python, Matlab

Technical Skills:

Data Analysis and visualization, Bayesian statistics and design under uncertainty, Deep learning and generative modeling, ML libraries (TensorFlow, PyTorch, Sklearn, etc), Gaussian Process Publications

[1] Yosefpour A, Zanjani Foumani Z Shishebor M, Bostanabad R. “GP+: A Python Library for Kernel-based learning via Gaussian Processes”, Archive.

[2] Zanjani Foumani Z, Yosefpour A, Shishebor M, Bostanabad R. “Safeguarding Multi-fidelity Bayesian Optimization Against Large Model Form Errors and Heterogeneous Noise”, Journal of Mechanical Design.

[3] Zanjani Foumani Z, Yosefpour A, Shishebor M, Bostanabad R. “Mitigating the Effects of Noise and Source-Dependent Bias on Multi- Source Bayesian Optimization”, IDETC-CIE 2023 conference.

[4] Zanjani Foumani Z, Shishebor M, Yosefpour A, Bostanabad R. “Multi-fidelity Cost-aware Bayesian Optimization”, Computer Methods in Applied Mechanics and Engineering.

[5] Yosefpour A, Shishebor M, Zanjani Foumani Z, Bostanabad R. “Unsupervised Anomaly Detection via Nonlinear Manifold Learning”, Journal of Computing and Information Science in Engineering.

[6] Zanjani Foumani Z, Ghaedy heidary E, Aghsami A, Rabbani M. “A Facility Location Problem in a Green Closed-Loop Supply Chain Network Design by Considering Defective Products”, Journal of Industrial Engineering International . Research Experience

From Microstructure Desires to Process Realities: ML-Based Predictions in Material UCI Developing ML models to predict process parameters of 3d printed material from desired microstructures. Sep 2023- Present Small Data, Big Challenges: ML for High-Dimensional Property Predictions UCI Developing ML models to predict lattice structures’ high-dimensional properties using process parameters. March 2023- Present Toyota Motor Corporation (TMC) project UCI

Developed a scalable emulation and uncertainty quantification package based on Gaussian processes. Oct. 2021 - March. 2021 Awards and Honors

Ranked second in student poster competition, IDETC-CIE 2023 Conference August. 2023 Merit-based travel award, IDETC-CIE 2023 conference August. 2023 Awarded as the runner-up in the student presentation competition, USNCCM17 Conference July. 2023 Merit-based travel award, USNCCM17 Conference July. 2023 Merit-based full scholarship, University of California Irvine Sep. 2021 Faculty of Engineering Prize as the Outstanding Student (4 times), University of Tehran Sep. 2017-2020 Certifications and Training

Leetcode: Data Structures and Algorithms Present

Coursera Supervised Machine Learning: Regression and Classification Jan 2023 Professional Dynamically Responsive Activities Emergent Architected Material Systems (DREAMS) Team UCI Engaged as a ML expert in a research team comprising UCI, UCSD, UCB, Los Alamos NL, Lawrence Livermore NL. Sep 2022 - Present Structural and Multidisciplinary Optimization Journal Paper reviewer. June 2022 - Present

Tuv Nord Iran

Researcher Funding and involved Sources in a project between Iran and world health organization. Nov 2020- Sep 2021 National Science Foundation

NASA’s Space Technology Research Grants Program

UC National Laboratory Fees Research Program of the University of California