Aaron Lozhkin Email and Phone Number

Developed a deep learning algorithm to estimate arterial diameter using ultrasound data in Python. Conducted a comparative analysis of PyTorch networks to optimize model performance.Streamlined machine learning efforts by building a robust data pipeline that efficiently managed medical time series entries, enhancing data analysis capabilities and productivity within the research team.

Assisted in the recruitment, consent, and concussion evaluation of Rugby players during the Rutgers CanAm 2021 Concussion Study. Developed signal processing GUIs in MATLAB to help process and filter collected data segments. Utilized filtering techniques to overcome audio issues and increased usable data by 15%.

Collaborated with multiple departments on a low-latency missile simulation in C++ with a focus on accurately modeling radar systems, resulting in expanded modeling capabilities and project timeline acceleration. Contributed to a code base of over 50,000 lines of code by utilizing GitLab in a Linux environment.Designed a signal processing module for radar simulations to precisely determine targets in noisy environments by employing auto-correlation and statistical analysis using MATLAB.Enhanced a missile simulation by integrating a probabilistic model for threat discrimination, addressing a notable limitation in the system’s capabilities.

Aligned heart and vibration signals within the body by designing an algorithm to process time related Electrocardiogram (ECG) signals. Increased effectiveness of medical microcontrollers by modeling parasympathetic and sympathetic nervous system activity based on ECG analysis in healthy subjects.Recreated a Pan-Tompkins algorithm to analyze ECG data and derive Interbeat Intervals (IBI) of the cardiac cycle.

Organized and instructed weekly courses in Python and Java for high school students. Designed projects and lesson plans tailored for individual coding experience.