Eric Nieves Email & Phone Number

Washington, Dc, Us

Arlington, Virginia, United States

This role provided numerous opportunities to develop algorithms for robotic perception across different robotic platforms; including both software-in-the-loop practices, model conversion/optimization, and deployment to embedded systems. Some examples include:• Developed a hand pose detection model for control of an unmanned robotic systemusing MediaPipe and Tensorflow.• Helped build networking solutions for multi-agent software in C++, including securitymeasures such as a challenge handshake protocol (CHAP).• Deployed a deep learning object detection model on a Clearpath unmanned vehicleusing a Linux environment and provided analysis on how to increase accuracy throughbetter data collection and data augmentation.• Tested the results associated with a keypoint model and converted it from a PyTorchframework into ONNX. Learned the limitations and options for framework conversion,as well as how to use tools to alter ONNX model representations.• Researched, ran tests, and converted a loop closure algorithm from Py-Torch into tflite. Also simulated flight paths in a Gazebo environment to train thisalgorithm for future deployment on a drone.• Tested a monocular depth estimation algorithm, compiled it using TensorVirtual Machine (TVM) leading to a 6x increase in computational speed on aCPU, and tested it in simulation using ROS2/Gazebo. Also developed instruction forcross-compilation and deployment on a RB5 drone.

Dania Beach, Fl

• Became acquainted with autonomous underwater vehicles (AUVs).• Helped integrate a total field magnetometer onto a Remus 100, characterized thesensor, and provided networking code for data collection.• Simulated advanced signal processing techniques involving gradiometry and magneticmodeling to remove magnetic background noise.• Worked with machine learning techniques like independent component analysis tosolve blind source separation of magnetic anomalies.• Incorporated long baseline (LBL) and ultra-short baseline (USBL) technology.

Dania Beach, Fl

• Applied filtering, both fourier and wavelet based, to raw magnetometer and ADCP data to investigate the effects of internal ocean waves on the Earth's magnetic field. • Performed spectral analysis to highlight frequency information of signals• Programmed automated data cleaning techniques based on wavelet decomposition• Research background on internal waves and solitons in relation to the magnetic field• Produce and present biweekly reports to U.S. Navy agencies and signal processing experts

Master'S Degree, Computer Science

Specializing in Computational Perception for Robotics

Doctor Of Philosophy - Phd, Ocean Engineering, 3.7

Activities and Societies: RobotX competition, Roboboat competitionMy time is split between two Navy-based projects that involve coding.

Master'S Degree, Ocean Engineering

Bachelor'S Degree, Mechanical Engineering

Activities and Societies: Florida Fencing, Sigma Nu, University Choir