Worked on various algorithm development and assessment relating to OPIR and Space Domain Awareness

Worked various area of interests, e.g. Natural Language Processing, Machine Learning, Data-mining, Graphical data modeling, (mathematical) optimization algorithms. Specifically...Developed NLP pipeline in spaCyData mined in-domain corpus and utilized graph database to explore in-domain lexicon.Trained Neural Network classifier to map utterance into semantic meanings. Performed Data-mining and feature analysis on terabytes of operational dataPrototyped Probabilistic Graphical Models (i.e. Hidden Markov Model and Bayesian Belief Network) for solving data fusion problemDeveloped a parallel clustering technique using 2D uncertainty and Mahalanobis distancesDeveloped optimization algorithm for finding suitable target tracking parameters

Performed Geo-motion related data analysis, including using unsupervised clustering techniques, implementing Fuzzy classifier using empirical analysis, utilizing principle component analysis. Developed various target tracking related algorithms; track mobility model by traversing road network, Rauch–Tung–Striebel optimal track smoother.

Performed evaluation on piezoelectric valve used in Fuel Cell systemDesigned a PID Controller in LabVIEW program to regulate pressure with piezoelectric valve