baris erol

research scientist

About

Currently, I am working through my PhD as a research assistant, designing smart algorithms in radar signal processing and machine learning for human activity recognition. I have both hands on engineering experience and in-depth understanding of algorithms since my work incorporates real data collection/visualization as well as algorithm development. Previously, I was a research assistant at TOBB University of Economics and Technology where I was the lead engineer in a project with one of the largest Turkish defence corporations. My responsibility again was the development of smart machine learning and signal processing algorithms. Competencies: signal processing, machine learning, data science, MATLAB/Python

Country

united states

City

new york

Industry

electrical/electronic manufacturing

Skill

matlab, electronics, programming, microsoft office, c++, autocad, microsoft excel, microsoft word, powerpoint, java, windows, engineering, english, electrical engineering, machine learning, radar, simulations, deep learning, convolutional neural networks, optimization, doppler, python, signal processing, sensors, research, statistics, labview, simulink, latex, teamwork

Experience

cooperative engineering student

pfiffner instrument transformers

2012-1 - 2012-4 · 4 mos

* Department: Low Medium and High Voltage Transformer Production * »»» Developed three unique solutions with “Work Analyses and Design Methods” to analyze the reasons of the high usage of pressband material.

research scientist

siemens

2019-1 - Present · 7 yrs 9 mos

cooperative engineering student

havelsan

2013-1 - 2013-4 · 4 mos

Department: Patrol and Anti-Submarine Warfare Ship (MILGEM National Ship) Project and New Type Submarine (AIP) Project »»» Software for interfacing the Agilent test devices to computer using MATLAB. »»» Designed different sensor fusion schemes to combine information from various sensors. »»» Designed and built a low pass filter for Phase Locked Loop System (PLL) that used in biomedical field.

graduate research assistant

villanova university

2015-8 - 2018-12 · 3 yrs 5 mos

* Led a project about elderly healthcare (fall detection) with one of the largest American global * telecommunications companies. * Proposed a novel method for generating diversified radar signatures and depth tracking signals * to be utilized in transfer learning incorporated with Deep Neural Networks (DNN). * Developed a novel framework for extracting features in a data-dependent fashion for improved * classification performance in human activity recognition. * Proposed a new radar domain together with multi-dimensional tensor analysis methods to exploit * the underlying dependencies and correlations of interrelated radar signals. * Employed diferent level of sensor and data fusion schemes in order to combine information from * multiple sensors.

graduate teaching assistant

tobb etu

2014-5 - 2015-8 · 1 yr 4 mos

»»» Developed a synthetic radar simulator with a low-cost, marker-less, motion capture device Kinect. »»» Investigated the effect of the environmental and operational conditions (antenna-target aspect angle, signal-to-noise ratio (SNR), and dwell time) for radar-based human activity recognition task. »»» Implemented dimensionality reduction (PCA-LDA-ICA), feature selection (Sequential forward and backward selection), and differing supervised and unsupervised machine learning algorithms for human activity classification. »»» Developed a DNN-based forecasting algorithm to predict the trend & future values of company stocks. »»» Built a small coffee can radar (designed by MIT) system capable of sensing range and Doppler information.