Hooman Fereidoonfar Email & Phone Number

During my academic and professional career, I have developed an extensive set of technical and organizational skills in designing and prototyping optical systems. I have experience in various phases of system development, ranging from computer simulation to manufacturing and financial coordination. Designing modern optical systems often involves regimes where geometric optics fails, and methods in wave optics are computationally expensive. With my background in computational physics spanning over twelve years, I am skilled in deploying valid approximations and hybrid algorithms using high-performance computing to obtain designs that may seem challenging to achieve. A hybrid approach allows me to search through the solution space more efficiently and effectively. Additionally, I am well-versed in efficient parameterization techniques and hybrid optimization algorithms, which enable me to reach the solutions more quickly. In the pursuit of transforming innovative ideas into functional computer code, I have found Python to be an exceptionally powerful tool. With its rapid development and runtime speed, bolstered by popular packages like NumPy, CuPy, and Numba, Python proves to be a potent asset. Its widespread adoption within the scientific and industrial community ensures robust support and continued development. Furthermore, Python’s readability and simplicity enhance effective communication among team members. Its ease of deployment and seamless integration with existing projects on platforms like GitHub, add to Python’s practicality for real-world applications. By harnessing the strengths of Python, I am able to effectively implement cutting-edge optical system designs while maintaining optimal productivity levels.

Listed skills include Virtuallab Fusion, Diffractive Optics, General Purpose Gpu Computing, Python, and 1 others.