Ocean Biology Processing Group (Satellite-Based Remote Sensing):Software development and operations support for the Science Data Segment of the PACE and GLIMR missions.• Development of tools and operations support for science data collection• Implementation of processing algorithms in scientific software• Evaluation & validation of algorithms performance• C/C++, Python, MATLAB

Remote Fall 2021/Spring 2022Multifunctional Sensor Platform (Sensors for Space Applications):• Classification of single gas concentrations: One vs One/ One vs Rest classifier, Gaussian Naïve Bayes classifier, Logistic Regression, Neural Network, Classification model comparison with Pycaret Library• Gas mixtures decoupling: Multioutput Regressor with and without noise, Gaussian Mixture Model clustering on simulated gas mixture, Chemosensors R Library generated synthetic data• Clustering, Dimensionality Reduction and Anomaly Detection: K-means clustering, Principal Component Analysis as dimensionality reduction for clustering and anomaly detection, Autoencoder as dimensionality reduction for anomaly detection and feature extraction, ADTK library anomaly detection implementation• Custom Feature Extraction: First/Second gradient extraction, Upper signal averaging, TSFEL/Tsfresh library feature extraction implementation• Python, MATLAB, R

Dr. Ge Theory Group (Quantum Computing):• Quantum sensing/error correction • Quantum circuit implementation of Bell State discrimination • Study of Quantum Computing Algorithms (Shor, Grover, Quantum Teleportation)• Qiskit/Python

Course: Electric Circuits I Lab:• Two sections of undergraduate introductory circuits lab• Topics: Basic Electrical Parameters, Kirchhoff’s Laws, Basic Electrical Circuit, Mesh Analysis, Superposition Theorem, Thevenin Equivalent, AC Circuit Parameters• Explained lab instructions including precise and detailed circuit building strategies• Monitored execution of labs while encouraging clear communication and critical thinking

Laboratory for Control and Optimization: • Built reconstruction of magnetic force field map with computer vision• Implemented smoothing of noisy signals in MATLAB• Optimized LabVIEW program for very rapid image capture (1400 fps)• Gathered magnet large data set from magnetic field mapper (MMS-1A-RS)

Laboratory for Control and Optimization:• Research supported by REACH award (2019-2020)• Built LabVIEW program for high-speed camera capture• Implemented object detection and tracking in LabVIEW

Computer Hardware and Software Installation/Troubleshooting for Engineering Department

Automated System Control and Imaging Lab:• Created GUI with Qt to control resistive touchscreen in C++• Built waterproof casing for immersion of touchscreen

Computer Hardware and Software Installation/Troubleshooting for all Departments