Hire Mitchell S. - AI Researcher

* Research lead for DIA project: “Tactical Infrasound and Seismic Event Classification” (HHM402-18-1-0008) * Worked on advanced methods for machine learning to be incorporated into automating time-series analysis, specifically event detection, classification, and generative models * Worked with deep learning toolkits TensorFlow, Keras, and PyTorch for both experimental research purpose and to better understand the implementation of deep networks. * Studied and implemented various machine learning algorithms from basic KNN to state-of-the-art deep networks. * Supported department members with administrative, research and academic assistance. * Prepared materials for technical reports, presentations and submission to peer-reviewed journals and government customers.

Constructed custom electrochemical test cell, designed experimental procedure, executed test plan, and analyzed data to model the reproducible electrochemical growth of ultra-high aspect ratio nanoporous anodized aluminum (AAO). -Performed chronoamperometric, voltammetric, and electrochemical impedance analyses on the resulting AAO templates. -Investigated AAO template structure by SEM micographs.