Hossein Amiri

I am a third-year PhD student at the Spatial Computing Lab at Emory University, with a strong background in software engineering, high-performance computing, and parallel processing. Throughout my career, I have gained diverse experience as a software engineer, project manager, full-stack developer, university lecturer, research assistant, and teaching assistant.

At Emory, my research focuses on spatial computing, specifically on problems where location and spatial relationships are crucial. My primary area of interest is large-scale spatial data problems and mobility data science, where the efficient use of computational resources is essential. I leverage low-level programming languages and compiler concepts to develop efficient processing solutions, employing parallel processing techniques on high-performance clusters to handle complex computations. Additionally, I simulate and emulate real-world scenarios to generate synthetic data, enabling the exploration of novel problems and future possibilities that are not yet observable in the real world.

My research encompasses various projects related to:

• Healthcare, Epidemiology, and Infectious Diseases: Applying spatial analysis and data science to track and predict disease spread, optimize resource allocation, and develop effective public health strategies.

• Simulation Data Generation and Data Science for Data Processing: Developing advanced simulation techniques to generate synthetic datasets for analysis, which can be crucial for understanding phenomena that lack comprehensive real-world data.

• Large-Scale Processing and Data in Spatial Computing: Utilizing high-performance computing techniques to manage and analyze vast amounts of spatial data, which is critical for solving complex spatial problems in real-time applications.

By combining expertise in software engineering and spatial computing, I aim to develop innovative solutions that advance both theoretical research and practical applications in these fields.