Graduate Research Assistant
Current• Proposing a method for creating indoor signal propagation maps using BIM plans.• Utilizing PyTorch to develop and train a deep learning model for predicting wireless propagation maps.• Proficient in iBwave Design and Altair WinProp for radio wave propagation modeling and network planning.• Reducing computational costs associated with heavy simulation software by leveraging machine learning.• Proficient in radio engineering principles such as power balancing and interference calculations and analysis.• Working with lab equipment such as signal generators, spectrum analyzers, filters and VNAs.• Designing, prototyping, testing, and production of PCBs with surface mount components for research projects.• Automating performance tests for RF systems using Python to streamline data collection and analysis.• Processing and analyzing large data sets (sorting, filtering, graphing).