Permutation Patterns Mathematics Research (2022-) DePaul University
Researching ways of counting permutation patterns in sets.
Programming an algorithm to find efficiently the permutations.
Writing a paper intended for publishing in arXiv with collaboration with a math professor from the DePaul University Math Department.
Secondary Student Training Program (SSTP) - intern (2019) University of Iowa
Gained valuable research experiences and conducted independent research under faculty mentors.
Developed software application for estimating and simulating flooded areas using data from Google Maps API, an easy-to-learn application that distributes knowledge for flooding and prediction of floods, serving an important educational purpose by raising awareness for prevention of flooding. The program demonstrates how each stage of a flood operates, which helps find solutions for saving lives and property during floods.
After-summer further research work expanded the simulation, which is capable of returning applicable data based on real life watersheds by using a multilayered Javascript process. The program takes into account comprehensive factors including the terrain, local hydrodynamics, and damage cost. It is useful to estimate flood damage to actual geographical regions and provide a result analysis for local planners.