Scholar
Faranak Rajabi
Google Scholar ID: wm1TmUAAAAAJ
Ph.D. Candidate , University of California, Santa Barbara
Citations & Impact
Citations
11
H-index
2
i10-index
0
Publications
7
Co-authors
4
list available
Publications
Resume (English only)
Academic Achievements
- - Paper: Cell Separation
- - Paper: Drug Delivery
- - In Proceedings
Research Experience
- - Scientific Software Development: CASL-ForgeX, an advanced computational framework for solving nonlinear stochastic PDEs.
- - Nonlinear Dynamics and Control for Neuroscience: Developing energy-efficient, event-based control strategies for neural networks using stochastic optimal control.
- - Micro-Fluidics and Computation: Investigating cell separation and drug delivery applications in mechanical micropumps.
- - Protein Aggregation Modeling: Developing novel computational models for protein aggregation in high-concentration biotherapeutics.
- - Data-driven Control for Neuroscience: Developing machine learning-based approaches for adaptive Deep Brain Stimulation (DBS) in Parkinson's disease.
Education
- - University of California, Santa Barbara, Ph.D. in Mechanical Engineering, Jan. 2022 – Present, Thesis: Advanced Computational Methods for Biological Systems, Advisors: Dr. Fredric Gibou and Dr. Jeff Moehlis
- - University of California, Santa Barbara, M.S. in Computer Science, Aug. 2023 – Present, Thesis: AI-Driven Drug Discovery, Advisor: Dr. Fredric Gibou
- - Sharif University of Technology, B.S. in Aerospace Engineering, Sep. 2016 – July 2021, Thesis: Biomedical Applications of Mechanical Micropumps, Advisor: Dr. Kaveh Ghorbanian
Background
- Ph.D. student in Mechanical Engineering at UC Santa Barbara's Computational Applied Science Laboratory (CASL), working under the supervision of Dr. Fredric Gibou and Dr. Jeff Moehlis. Research develops computational methods for complex biological systems through distinct approaches: stochastic control strategies for neural oscillator networks with applications in Parkinson's disease treatment, Level Set Methods for solving high-dimensional Hamilton-Jacobi equations, and machine learning frameworks for biological systems. Additionally, pursuing an M.S. in Computer Science to strengthen expertise in scientific computing and machine learning.
Miscellany
- Hobbies and interests not detailed.
