Omid Karimpour

Adjunct Faculty at Fleming College
Research Associate
Network-Centric Applied Research
Ryerson University

Bio

At this juncture of my life, after immigrating, being involved in the industry, participating in cutting edge researches and mentorship, my vision to build the future where robots are inevitable part of our lives, has thrive me the most. To foresee this future, all non-trivial robots are required to navigate independently and effectively in any environment, make competent and conscious decisions, and finally constantly improving themselves.

Throughout my exposure to robotics research, I joined NCART Lab, under the supervision of Dr. Alex Ferworn where I was working on Autonomous Mobile Robot (AMR) applications. My experience on Highway Traffic Estimation, a Kalman filter approach from bachelor drove me to implement selected SLAM systems and navigation methods on a modified AMR. Throughout this study, I surveyed various SLAM systems on typical indoor environments. My findings showed how non-flat surfaces, glasses, and dynamic areas could seriously fail the performance of AMRs.

After defending my masters thesis, I joined Fleming College as an Adjunct Faculty and taught numerous courses. Here, I began my journey of mentorship and project management. I guided each project so it met the sponsor's desired expectation within the scope of agreement. Ultimately, much success was achieved including my teams winning multiple awards such as Bell Innovation Award.

Through my experiences, I have narrowed down my research to design and implement a behavioural robot with intelligent decision making ability by leveraging sensor fusion, parallel programming, and deep learning. You can download my CV for my full profile.

Academic Positions

2019 Present

Adjunct Faculty

Fleming College, School of Trades and Technology
2018 Present

Research Assistanat

Ryerson University, NCART Lab
2015 2018

Scholar

McMaster University, Smart Joint Lab
2013 2015

Research Assistant

Shahid Beheshti University, Electronic Lab

Education & Training

M.Eng2019

Master of Engineering in Electrical and computer Engineering

Ryerson University, Toronto, ON
B.Sc2015

Bachelor of Science in Electrical Engineering

Shahid Beheshti University, Tehran, Iran

Honors and Awards

2018

1st Place, TMS, Certified for top revenue improvement, Eastern Canada
2017

1st Place, TMS, Certified for top leadership, Eastern Canada.
2010

Ranked Top 1% , Mathematics and Physics among more than 178,000 students in Iranian nationwide university entrance examination (Konkoor).
2008

Accepted , Iranian National Olympiad Competition in Mathematics Tehran, Iran

Research Summary

Throughout my exposure to robotics, I have been working on Autonomous Mobile Robot (AMR) applications. My experience on Highway Traffic Estimation, a Kalman filter approach from bachelor drove me to implement selected SLAM systems and navigation methods on a modified AMR. Along this study, I surveyed various SLAM systems on typical indoor environments. My findings showed how non-flat surfaces, glasses, and dynamic areas could seriously fail the performance of AMRs.

Interests

AMR, SLAM, Path planning, and Navigation
Machine Learning, Deep Neural Network, and Computer Vision

Selected Research Projects

Autonomous Mobile Robot Project

Developed and implemented a modified Pioneer 2DX Autonomous Mobile Robot using RPLidar, localization, SLAM, mapping, path planning, and obstacle avoidance.

Various SLAM methods were surveyed such as Gmapping, EKF, and Hector. Investigated challenges like Stair mapping, glass detection, and navigation

You can watch a demo of my work here
Deep Learning Project on DNN and CNN

Built a L-layered Neural Network using Vectorization, different Regularization, multi classification and Utilized various optimization techniques such as Adam, RMSprop, Momentum optimization, Regularization, Dropout, and cut off.

Built and Applied Convolutional Neural Network such as eNet-5, AlexNet, VGG-16 on several data sets with Object localization, Landmark Detection, Object Detection
Overlay Image Project using OpenCV

Utilized Amazon EC2, Lambda Function and S3 Storage services for Continuous Deployment and Included the continuous Integration using Travis and GitHub for new versions of the code and a complete instruction
Object Recognition

Digit recognition using prediction models, car acceptability, wine quality, & water level. Further, Modeled and simulated with MATLAB on different real world datasets

Created a Neural Network, SVM Prediction Model, K-means clustering for image dimensionality reduction
Object Detection

Lines, & circles detection in noisy environment with 5 pixels accuracy. In addition, Blurring Process, Edge detection, and Hough transform algorithms with OpenCV

Comparison of Hough transform; Fast and Random Hough transform; and efficient randomized algorithm

Details

Teaching

Teaching history

Fall 2019

Instructor for COMP500, Advanced Operating Systems - Unix and Windows

Fleming College
Fall 2019

Instructor for ELCT105, Electronic Circuits

Fleming College
Winter 2019

Teaching Assistantship for DG 8114: Human Robot Interaction

Ryerson University
Winter 2019

Mentor for APST 152-007109PT: Applied Project 1(WIN)

Fleming College
Winter 2019

Lab Instructor for ELCT 84-007109P: Electricity

Fleming College
Spr-Fall 2011

Instructor for Mathematics and Physics

Radmehr Academy