Hello!
I'm Pareese Pathak
Graduate student at Georgia Tech | Working on AI applications for construction and transportation engineering (ITS)
About ME
Full Name: Pareese Sanjay Pathak
Education: Master of science in civil engineering at Georgia Institue of Technology
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I am a first-year graduate student pursuing my Masters in Civil and Environmental Engineering Department of Georgia Institute of Technology. I am seeking a summer 2024 internship in construction automation with a focus on AI and AR/MR applications.
My areas of interest include the application of AI for civil engineering. I have a relevant background in Computer Vision, Deep Learning.
Contact me
Work Experience and Projects
Here are some of my projects
(ATMAS) Autonomous Traffic Monitoring And Analysis Systems
Gaze Detection for Driver Behaviour Analysis
Structural Inspection
Monocular Visual Odometry
Stereo Reconstruction
Mobile Robotic Arm
Drona: Design of Autonomous Drone
Image Stitching
Obstacle Avoidence Robot
PID Control System
Research Internships
October 23 - Present
Graduate Assistant: Network Dynamics Lab
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Currently assessing the techniques of visualization of 3D data in Microsoft HoloLens 2, and developing interface using Unity3D and Azure platforms.
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Concentrating on AR applications for Columbus River rescue management and working on the framework for drone-human interaction using Microsoft Hololens2.
Advisor: Dr. John Taylor, Neda Dr. Neda Madi
Lab: https://ndl.gatech.edu/?page_id=69
Undergraduate Research: Civil Department VNIT
May 21 - March 22
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Worked to estimate the Uplift capacity of Earth anchors in cohesion-less soils using Kotter’s equation.
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Derived mathematical equations for vertical and inclined pull-out capacity of horizontal anchors in a single layer and double-layered soil.
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Generated 3D surface plots using a Python program to visualize the results and compared the results of linear, circular, and log-spiral failure surfaces analytically for vertical pull-out.
Undergraduate Research: Transportation Research Lab, VNIT
February 21 - January 22
Autonomous Traffic Monitoring and Analysis System (ATMAS)
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Developed a Python program to estimate the vehicle trajectory, acceleration, and velocity profiles from video streams taken from any angle up to 30 degrees from horizontal.
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Deployed YOLOv4 Object Detector, Tracking, and Implemented concepts of classical Computer Vision to classify the vehicle and estimate its motion.
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Tested the algorithm on various camera angles and developed a prototype on Jetson Nano and IMX cameras.
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Successfully deployed to monitor the local traffic and generate reports. Recently submitted at Transportation Engineering Journal of ASCE, and filed for a patent (Number-202221057506)
Advisor: Prof. Udit Jain (Assistant Professor: Department of Transportation, VNIT Nagpur)
AI4CE Lab, New York University
February 22 - August 22
Unsupervised Registration of 3D Point Cloud:
To generate a map of a large area by 3D-point cloud registration from unsupervised learning.
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Worked on Deepmapping++ Pipeline to generate 3D maps using an Unsupervised Neural network.
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Developed an algorithm for global point cloud registration that handles point clouds with large orientation changes like rotation and translation.
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Guided by: Prof. Dr. Chen Feng, NYU, Prof. Joe Chen, NYU.
Work Experience
May 24- August 24
Summer Intern:
Intelligent Transportation System
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Developed and managed ArcGIS databases, prepared and revised ITS and signing designs, and conducted feasibility studies for various transportation projects, including I-95, I-64 Hampton Roads Express Lanes, and US 54, optimizing infrastructure, traffic flow, and safety.
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Fellowship project on AI-based vehicle detection and tolling revenue
HDR, Inc
AssetIntel
April 22- July 21
Research Intern:
DetectX Development
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Developed software that provides asset management solutions for the infrastructure and transportation industry.
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Proposed a transfer learning pipeline to identify the structural elements of the bridge and classify the defects.
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Implemented ResNet-50, Xception model, and VGG-19 architectures.
December 20- January 21
Winter Internship
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Worked on vehicle counting and classification to estimate the average weight and traffic intensity of vehicles traveling on roads.
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Developed a Python program and implemented the concepts of Transportation engineering to estimate the PCU(Passenger Car Unit) of the vehicles.
imaGIS Engineering Solutions Pvt Ltd.
Hackathons and Challenges
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Patents and Publications
Patent
An autonomous traffic monitoring and analysis system - (ATMAS). Number-202221057506
Publication -
The influence of obliquity on the pull-out capacity of two-dimensional plate anchors embedded in the
homogeneous sand bed. R D Shambharkar, P S Pathak, G Santhoshkumar, V Srinivasan (Under Review)
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Contact Me
Phone +1 470-652-2240, +91 9209340296
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Website https://pareespathak.wixsite.com/webpage
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Email pareespathak1@gmail.com
Address
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