Basem G. Elbarashy is an electrical engineer and computer vision specialist with experience developing products for emotion recognition, person re-identification, and action recognition. He has worked as a computer vision engineer for Cleo and as a machine learning engineer for Upwork, where he achieved Top Rated status. Elbarashy's areas of focus include computer vision, machine learning, and deep learning, and he has completed projects involving emotion recognition, traffic control, vehicle detection, and power signature location analysis.

1. Basem G. Elbarashy
36 Dr.Rashad Shafeek street
Elseyouf, Alexandria, Egypt
(+20) 122 055 6386
es-basem.abdelghafar1116@alexu.edu.eg
www.linkedin.com/in/BasemElbarashy
Education
2011–2016 Faculty of Engineering, Alexandria University.
B.Sc. Electrical Engineering in Communications and Electronics.
Experience
March
2017–Present
Computer Vision Engineer, Cleo.
led the development of many of their Computer Vision products such as emotion recognition, person re-identification
and action recognition in basketball videos.
Jan
2017–Present
Machine learning Engineer, Upwork.
Became Top rated freelancer at Upwork which is the world's leading freelancing website. I achieved 100% job success
based on Upwork's client feedback rating system. Completed 15 jobs successfully (1130 hours).
Oct–Feb
2016–2017
R&D Computer Vision Engineer, Eshta Holdings Corp, Part-time.
Development of traffic control system and text recognition of raster maps.
July–Oct
2015
Machine Learning Research Intern, Egypt-Japan University of Science and Technology (E-JUST).
Trained a DNN for protein-ligand binding affinity prediction. Gave presentations about Deep learning, ConvNet,
HMM, and dropout regularization technique.
July–Sep
2013
Algorithms Training Program, Alexandria ACM Student Chapter.
Focused on problem solving techniques including data structures, discrete math, and graph theory.
July–Sep
2013
Machine Learning Summer School, Alexandria ACM Student Chapter.
Introduced to the basics of machine learning.
Selected Projects
Emotion recognition
Used FER and FERPlus datasets to train a ResNet model to recognize seven face emotions and achieved
state-of-the-art performance. [Python, Tensorflow]
Traffic Control
Vehicle detection and tracking, construction of 3D bounding boxes, automatic camera calibration based
on car length distribution, speed detection, tested on Dubska et al. dataset. [C++, OpenCV]
Graduation Project: Multi-Target Detection And Tracking In ADAS
Development of ConvNet for vehicle detection, trained on Jetson Tk1. Local weighted linear regression for
correcting Kalman filter predictions. [Lua, Torch7]
Exploring Power Signatures for Location Forensics of Media Recordings
Extraction of ENF signals from audio signal. Signals from different grids used for training ANN to classify
the ENF signals in terms of their grid-of-origin. [IEEE Signal Processing Cup 2016] [Matlab]
Other Projects
Face recognition based attendance system, Image compression with PCA, Object detection and distance
calculation using stereo camera, Text recognition of raster maps, Autopilot Control System.
Other Activities
Publications, Khalil, Mohammed, et al. “An improved approach for multi-target detection and tracking
in automotive radar systems." (ICEAA), IEEE (2016) .
Online Courses, Machine Learning CS229 & coursera, Natural Language Processing (Coursera), Learning
From Data (edX), Linear Algebra (MIT OCW), Deep Learning (Udacity), Data Analysis and Statistical
Inference (Coursera), Art and Craft of Mathematical Problem Solving (Great Courses).
Contests, ACM ACPC 2013, FQXI Assay contest 2015, Intel ISEF Egypt 2010.