I'm Zohaib Data Scientist Computational Engineer

Experience

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Industrial Postdoctoral Fellow

NTNU & Norske Tog (Full-time)

Project: Condition Monitoring for the Norwegian Rail Network.

Developed data-driven models for rail wheel wear prediction and optimized maintenance
strategies in collaboration with industry partners. Analyzed large-scale sensor data from
trains to extract actionable insights and improve the efficiency and reliability of the rail
network.

Research Assistant

Smart Infrastructure Technology Laboratory, Chung-Ang University, Seoul, South Korea.

Designed and implemented multi-sensor data acquisition systems for long-term structural health monitoring. Developed computer vision and signal processing algorithms
for real-time displacement estimation and damage detection in civil structures

Doctoral Researcher (Ph.D. Candidate)

NTNU, Dept. of Structural Engineering

Research Project: Automated Structural Condition Assessment for Concrete Bridges

Conducted research on indirect bridge monitoring techniques using data from passing
vehicles and advanced machine learning models. Developed sensor fusion algorithms
combining vehicle-induced signals with physics-based approaches for real-time bridge
health evaluation. Published findings in high-impact journals and conferences.

Industrial Experience

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Engineering Intern

Stadler Rail (Part-time)

Project: Condition-Based Monitoring of Railway Wheel Wear.

Assisted with commissioning traction control systems and performing test runs on trains under various braking conditions. Verified software requirements and updated firmware on train subsystems to facilitate condition monitoring of wheel wear

Industrial Researcher

NTNU Concrete Group (in collaboration with Maturix & Betonmast)

Project: Intelligent Concrete Drying (European Eurostars Project)

Investigated concrete curing processes and developed an AI-driven model for optimizing the industrial concrete drying cycle. Integrated sensor data from smart curing devices to reduce CO2 footprint and improve drying time predictions.

Engineering Intern

ABB Ltd. (Part-time)

Project: Digitization of Railway Systems

Gained hands-on experience with ABB’s traction control hardware (AC 800PEC) and real-time simulation platforms. Implemented a data acquisition pipeline and a software tool to crawl and extract live data from control systems for analysis.

Education

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Ph.D. in Structural Engineering

Norwegian University of Science and Technology (NTNU), Trondheim, Norway

Thesis: Vehicle-Assisted Bridge Damage Assessment Using Probabilistic Deep Learning

B.Sc. in Electronic Engineering

Bahria University, Islamabad, Pakistan

Thesis: FPGA Based Sea Range Finder.

M.Sc. in Structural Engineering

Chung-Ang University (CAU), Seoul, South Korea

Thesis: Event-Driven Structural Displacement Estimation Using a Multi-metric Ultra-LowPower Wireless Sensing System.

Programming Course

London

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Projects

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2022–2023

Intelligent Concrete Drying System – Collaborated on a cloud-connected platform to monitor and optimize concrete curing in construction projects (Eurostars ICD project). Tech: IoT Sensors, Python, Machine Learning, Cloud Analytics.

2023–Present

Developed a machine learning pipeline to predict railway wheel wear using time-series data from onboard sensors. Tech: Python, TensorFlow, Azure Cloud, Signal Processing.

Autonomous UAV for Bridge Inspection

2018–2019

Built a custom drone equipped with camera and IMU modules for automated bridge inspection and crack detection using deep learning.Tech: Python, Computer Vision, Deep Learning (TensorFlow).

2019 – 2022

Conducted research on indirect bridge monitoring techniques using data from passing vehicles and advanced machine learning models. Developed sensor fusion algorithms combining vehicle-induced signals with physics-based approaches for real-time bridge health evaluation.

IoT-Based Digital Twin for Prefab Structures

2017–2019

Created a wireless sensor network to track prefab concrete elements from factory to site and assess their structural health in real time. Tech: Python, Arduino, Cloud Computing, Data Analytics.

TECHNICAL SKILLS

Senior Web Developer specializing in front end development. Experienced with all stages of the development cycle for dynamic web projects. Well-versed in numerous programming languages including JavaScript, SQL, and C. Stng background in project management and customer relations.

Programming
ML & Data Science
Redux
ML & Data Science
Python
Photoshop

$25 /hr

Basic

$35 /Hr

Professional

$70 /hr

Enterprise

contact me