Zahra Etesami

Responsible for data science tasks including ETL processes, web scraping, and writing AI-based APIs. Conducted simulations and optimizations of opto-electromechanical products using finite element analysis.

Conducted theoretical investigations of force tuning in nanoscale systems and finite element simulations of electromagnetic wave propagation in metamaterials.

Design and optimization of deep learning models for machine vision tasks, including object detection, tracking, segmentation, and natural language processing, particularly sentiment analysis and content classification.

Researched alternative methods for manufacturing laser-based systems, employing finite element analysis to predict product outcomes before production.

Investigated nanoscale systems in miniaturized devices to control the interaction of nano-materials, contributing to advancements in theoretical physics.

Coordinated scientific projects for students, achieving recognition in national competitions and supervising various science initiatives.

PhD thesis title: Effect of noise on Casimir nanomachines: Investigating the effect of different environmental mechanical noises on the function of Casimir nanomachines. Solving stochastic equation of motions for the Casimir excitable system in order to present new accurate methods for high precision sensing of small forces in stochastic media, along with other brilliant applications.

Master’s thesis title: Buckling phenomena in electrospinning with AC voltage. Experimental investigation of the buckling phenomena in AC-electrospinning process. Building nano and microfibers with different morphologies with potential applications in artificial textures.