Jabbar Shah, Syed

Jabbar Shah, Syed

PhD Student

UMass Lowell

About Me

Hi, I am Jabbar Shah, a PhD student in the Department of Mechanical Engineering at UMass Lowell. I am originally from Pakistan.

My current research focuses on AI-driven Non-Destructive Evaluation (NDE) — applying deep learning and computer vision techniques to inspect, detect, and evaluate structural integrity without damaging the material or system under test.

I hold a Master’s degree in Civil and Environmental Engineering from Hanyang University, Seoul, South Korea, where I specialized in Advanced Infrastructure Systems, working on intelligent excavation systems, BIM, and AR/VR applications in construction. I also hold a Bachelor’s degree in Civil Engineering from UET, Pakistan.

I have strong programming skills in Python and hands-on experience with deep learning frameworks (PyTorch, TensorFlow), with a focus on computer vision for object detection, segmentation, and tracking.

In my free time, I enjoy travelling, reading, and finding a good coffee spot.

Download my resumé .

Interests
  • AI-driven Non-Destructive Evaluation (NDE)
  • Structural Health Monitoring
  • Computer Vision & Deep Learning
  • Automation in Construction
  • BIM
Education
  • MSc Civil Engineering, 2020

    Hanyang University, Seoul, South Korea GPA 3.82 / 4.0

  • Bachelor's of Engineering (Civil Engineering), 2015

    University of Engg & Tech. Pakistan GPA 3.33 / 4.0

Skills

icons credit icons8.com

py
Python
matlab2
Matlab
bash
Bash
pytorch
Pytorch
tensor
TensorFlow
docker
Docker
github
Git
autocad
AutoCad
latex
LaTex

Experience

 
 
 
 
 
UMass Lowell
PhD Student
UMass Lowell — Mechanical Engineering
2024 – Present Lowell, MA, USA
  • Supervisor: Prof. Alessandro Sabato
  • Research: AI-driven Non-Destructive Evaluation (NDE)
  • Applying deep learning and computer vision to structural integrity assessment
 
 
 
 
 
Yonsei University
PGraduate Research Assistant
Yonsei University
Sep 2021 – May 2022 Seoul, South Korea
  • Project: Computer vision based safety monitoring on construction sites

Workded on safety hazards identification and detection on a construction site using computer vision.

 
 
 
 
 
Seoul National University
PGraduate Research Assistant
Seoul National University
Mar 2021 – Jun 2021 Seoul, South Korea

Research include:

  • Landscape Engineering
  • Deeplearning based building retrofitting
  • Building demage detection
 
 
 
 
 
Hanyang University
Graduate Research Assistant
Hanyang University
Mar 2018 – Feb 2020 Seoul, South Korea
  • Supervisor: Prof. Seo Jong-won
  • Project: Automation in construction, BIM, VR/AR

Worked on BIM, automated project management of intelligent excavation system using VR/AR.

Accomplish­ments

Coursera
Machine Learning
Machine Learning basic by Andrew Ng.
See certificate
Coursera
Neural Networks and Deep Learning
Coursera Deep Learning specialization
See certificate
Python speialization
See certificate
DataCamp
Intro to Python
See certificate

Recent Publications

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