Personal details

Dr I. - Remote data scientist

Dr I.

Assosiate Research Fellow
Based in: 🇦🇺 Australia
Timezone: Sydney (UTC+10)

Summary

I am an energetic, young academic scholar with the PhD in the field of Computer Vision, Robotics and Intelligent Machines. Involved in research related activities from last 5 years and completed successful tasks for the clients. Currently focus of my services for the clients include

  1. All Latex related problems and conversion tasks.
  2. Computer Vision and Robotics-Vision related development jobs

Work Experience

Research Fellow
University of Wollongong | Jan 2022 - Present
Machine Learning
Computer Vision
Deep Learning
Jetson
Edge Computing
Working as a Research Fellow - IoT Engineer towards providing computer vision and edge computing based solutions to industrial problems.
Freelancer
UpWork | Sep 2014 - Present
Python
C++
OpenCV
LaTeX
Computer Vision
MATLAB
Microsoft Word
TensorFlow
1.Working to assist clients in transcribing the contents of their reports into Latex and vice versa. 􏰂 2.Assisting clients in structural formatting of their technical reports and research articles. 3.􏰂 Awarded with "Top Rated" freelancer badge for maintaining 90+ success score.

Education

University of Wollongong
PhDComputer Vision
Feb 2018 - Present
National University of Sciences and Technology
Masters of EngineeringRobotics and Intelligent Machine Engineering
Sep 2012 - Aug 2015

Personal Projects

Development of a Computer Vision and Machine Learning Based Disaster Management Systems
2018
Machine Learning
Computer Vision
Deep Learning
Object detection
TensorFlow
Keras
Conda
Image classification
Cnn
Data Annotation
Development of Long Range Radio Control System, Elevated Skid and Airdrop Mechanism for Unmanned Disaster Relief Helicopter
2015
MATLAB
Ansys
Daq
System engineering
Unmanned aerial vehicles
Radio controls
Cad modelling
Cnc manufacturing
Helicopter skid design
Airdrop mechanism design
Increase in the occurrence of natural disasters due to climatic changes has caused destruction in terms of property and lives in the last couple of decades. In South Asia, especially in Pakistan, natural disasters are causing damages every year. Post disaster surveys are significant in saving the lives of victims, as first 72 hours after disaster are very critical for rescuing. In order to utilize the resources efficiently, quick surveying of disaster struck area to scan and collect useful information is necessary. Developing countries like Pakistan have inadequate facilities for quick surveying which costs precious lives. Full scale helicopters surveys and manned rescue teams have been used in the past for surveying and rescue purposes but are not cost effective. Use of fully equipped small sized unmanned aerial vehicle (UAV) for quick surveying is one of the alternate cheap solution.

Certifications & Awards

Deep Learning For Computer Vision -- NVIDIA Course
Fundamentals of Deep Learning -- NVIDIA Instructor