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Mark Kahoush

Majored in Computer Science
Georgia Institute of Technology, Class of 2023
From Atlanta, GA
MS Computer Science student with interest in the intersection of data science and software engineering. I'm open to full time opportunities for September 2023 within software engineering and/or machine learning/AI.
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Georgia Institute of Technology
Stanford University

Mark Kahoush Receives Degree From Georgia Tech

Mark Kahoush of Atlanta, GA, has earned a Master of Science in Computer Science from the Georgia Institute of Technology in Atlanta. Kahoush was among more than 5,300 undergraduate and graduate s...

July, 05 2023 - Verified by Georgia Institute of Technology
Mark Kahoush Earns Faculty Honors at Georgia Tech for the Spring 2022 Semester

Mark Kahoush of San Jose, CA, earned the distinction of Faculty Honors for Spring 2022 at the Georgia Institute of Technology. This designation is awarded to undergraduate students who have earned ...

July, 12 2022 - Verified by Georgia Institute of Technology
Mark Kahoush Receives Degree from Georgia Tech

Mark Kahoush of Atlanta, GA, has earned a Bachelor of Science in Computer Science with Highest Honors from the Georgia Institute of Technology in Atlanta. Kahoush was among more than 4,500 undergr...

June, 24 2022 - Verified by Georgia Institute of Technology
Mark Kahoush was recognized for earning a spot on an honors list
Highest Honors
Fall 2019 - Spring 2022 - Added by Mark
Research and Web design at Co-Founder and CTO of DealDiner/Idea to Prototype (I2P)

Researched consumer base and preexisting products
Computed a web app that budgets users food, clothing, and books on a weekly schedule for Georgia Tech students
Collaborated with team members to bring idea into next stages of development

September 2020 - December 2020
Machine Learning and Robotics Researcher at Georgia Institute of Technology (RICAL lab) w/ GDOT

Use Structure from Motion (SfM) to create dense 3D point clouds from image data
Leverage deep learning techniques to segment and classify different highway assets
Point cloud-based temporal change detection is carried out focusing on grass height estimation for monitoring highway mowing operations
Obtained 93% semantic segmentation accuracy and 6.31 cm root mean square error (RMSE) in grass height estimation
Technologies used: UAVs, python, keras, OpenCV, Laser scanner, C++, CloudCompare, meshlab

August 2020 - January 2022
Machine Learning and Robotics Researcher at Georgia Institute of Technology (RICAL lab) w/ GDOT

Leverage convoluted neural network using Keras to automatically process drone images to detect areas with mowed grass and areas with unmowed grass, as well damage signs or pavements
Obtained average F1 score of 98%, average precision of 99%, and average recall of 96%
Technologies used: UAVs, python, keras, OpenCV, Laser scanner, C++, CloudCompare, meshlab

August 2020 - January 2022
Computer Vision Researcher at Georgia Institute of Technology (RICAL lab)

Conducted research on accurate and optimum methods to automatically filling occlusions in point cloud data
Engineered deep learning model using Tensorflow to detect and predict voxels that appropriately fill in holes
Obtained average F1 score of 69%, average voxel precision of 78%, and average recall of 63%
Technologies used: python, TensorFlow, OpenCV, Laser scanner, C++, CloudCompare

January 2020 - August 2020
IT Support Intern at Consolidated Contractors International Company SAL

Formatting PCs, installing company policies & generating PCs images; backing and restoring data
Testing and troubleshooting new PCs; mined data and used database to save them and pull reports from
Programming languages used: JavaScript, Nodejs, HTML, CSS, and MongoDB

September 2017 - March 2018
Joint 2D-3D Semantic Segmentation and Change Estimation for Aerial Monitoring of Highway Infrastructure
September 2021 - Publications
AI-driven 3D Point Cloud-Based Highway Infrastructure Monitoring System using UAV
July 2021 - Publications
Analysis of Flight Parameters on UAV Semantic Segmentation Performance for Highway Infrastructure Monitoring
July 2021 - Publications
Point Cloud Scene Completion of Obstructed Building Facades with Generative Adversarial Inpainting
September 2020 - Publications
2D image to 3D point cloud back projection (Python) – Personal project
• Converts a 2D image back into its 3D point cloud. Uses CloudCompare to register the geo-referenced point cloud, and saves the intrinsic and extrinsic camera properties of the point cloud • Using the geo registered point cloud and the camera properties it can convert a multiple 2D images into one 3D point cloud • For optimization duplicate points where filtered and down sampling was applied. Output accuracy of 97%
Software Projects
Co-Labelling images and point clouds (Python, C++) – Group project
Programmed an algorithm to co-label 2D images from 3D point clouds. Uses a structure-from-motion algorithm to combine information from multiple images and build a 3D point cloud. Then used the camera projection equation to map each 3D point to a 2D pixel
Software Projects
Image-Segmentation using ML(Python) – Group project
• Developed an automated convoluted neural network with Keras used to segment images in 9 different highway related classes. Uses a modified version of U-Net architecture and tested with UAV scanned images • Model compared with geometry-based methods using OpenCV. Preformed 450 times better than geometric methods, yielding an accuracy of 98%
Software Projects
Scene Completion of 3D point clouds (Python, C++) – Group project
• Oversaw the development of a new method for performing point cloud scene completion of building facades using orthographic projection and generative adversarial inpainting methods • Compared to other state of the art methods, the developed model preformed 11% better. With accuracy of 69%
Software Projects
DealDiner (Python, HTML, CSS, Flask) – Group Project
• Computed a web app that budgets users’ food, clothing, and books on a weekly schedule for Georgia Tech students. App displayed with GUI allowing user to choose what they would like to purchase. Used Georgia Tech’s API to successfully display appropriate shops user can go to with their current meal plan, budget, and campus dollars • Improved schedule of 60% of users who used the application
Software Projects
Youtube-Summarizer (Python, HTML, CSS) – Personal Project
• Developed a YouTube summarizer that uses Youtube API to obtain video transcript and leverage a NLP algorithm to summarize it to 25% of its original size by prioritizing key words in the video. Uses HTML, CSS, and Flask for web framework and GUI to display results • 80% of non-repeated content displayed in video is displayed accurately by the algorithm
Software Projects
Multi-variable Calculator (MatLab) – Course Project
• Engineered a calculator that takes a multi-variable function from user and using GUI integrates or differentiates the function • Provides a choice to plot differentiated, integrated or unchanged graph, in a cartesian, surf or mesh form
Software Projects
Resume

Graduation 2 Faculty Honors

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