Machine Learning
Abdul Rehman
Researcher
Seongnam
Summary
Hardworking and passionate job seeker with strong organizational skills eager to secure entry-level Machine Learning position. Ready to help team achieve company goals.
Overview
5
5
years of professional experience
4
4
years of post-secondary education
3
3
Certifications
2
2
Languages
Work History
Graduate Researcher
ISML Lab
Seongnam
03.2023 - Current
- Prepared summaries of research data for use in high-level meetings and presentations.
- Partnered with research team to strategize research and develop specific plans.
- Prepared research project documentation to facilitate approval processes.
- Working on healthcare problems and providing the solution based on OpenCV.
- Conducted thorough literature reviews to better understand research topics and prepare for studies.
- Developed start of the art solutions using artificial intelligence and image processing.
- Experienced with Pytorch and Tensorflow frame of implementation of models.
- Write Articles for well-repute journals.
Embedded Design Engineer
Aksa-Sds
Islamabad
10.2021 - 02.2023
- Experienced with microcontrollers and Field Programmable gate array (FPGA).
- Applied the transfer learning using Deep Neural Network to classify the vehicles.
- Applied Yolo Model to detect the number plates of the cars and model is trained on Nvidia Xavier .
- Developed the Software Define Ratio (SDR) solution on FPGA.
- Applied the Root Squared Filter on FPGA for shaping the square signal on FPGA.
- Performed experimentations and write the technical reports.
- Experience with Xilinx Vivado, Spyder, Pycharm, Modelsim, Arduino and VSCode tools.
- Experience with Python, MATLAB, Verilog and C++ programming languages.
Undergraduate Research Assistant
Syndicate of Embedded and Electronics Design (SEED)
Taxila
03.2018 - 07.2021
- Conduct and lead the data acquisition team for various projects such as Health-care and agricultural.
- Worked on the cucumber disease classification using machine learning. Data is self-collected with the canon 3D.
- Worked on the Electrocardiogram signals for diagnose of Coronary Artery Disease using Machine Learning.
- Worked on the Covid-19 X-ray images and developed the transfer learning based deep feature solution for diagnose of lungs disease.
- Experienced with the Tensorflow, keras, and pytorch framework.
- Experience with the C++, MATLAB and Python language.
- Conduct the independent experimentations and write the articles for well repute international conferences and journals.
Education
Master of Science - IT Convergence Engineering
Gachon University
Seongnam 03.2023 - Current
Bachelor of Science - Electronics Engineering
University of Engineering And Technology, Taxila
Taxila 10.2017 - 08.2021
Skills
Data Collection
Training and mentoring
Research implementation
Teamwork and Collaboration
MS Office
Analytical and Critical Thinking
Self-Motivated
Quantitative analysis
Publications
Journal:
- Aziz, Sumair, Muhammad Umar Khan, Abdul Rehman, Zain Tariq, and Khushbakht Iqtidar. "Computer‐aided diagnosis of COVID‐19 disease from chest x‐ray images integrating deep feature extraction." Expert Systems 39, no. 5 (2022): e12919.
Conferences:
- Khan, Muhammad Umar, Sumair Aziz, Syed Zohaib Hassan Naqvi, and Abdul Rehman. "Classification of Coronary Artery Diseases using Electrocardiogram Signals." In 2020 International Conference on Emerging Trends in Smart Technologies (ICETST), pp. 1-5. IEEE, 2020.
- Rehman, Abdul, Zain Tariq, Sana Ullah Jan, Sumair Aziz, Muhammad Umar Khan, and Hassan Nazeer Chaudry. "Transfer learning-based method for detection of COVID-19 using X-Ray Images." In 2021 International Conference on Robotics and Automation in Industry (ICRAI), pp. 1-6. IEEE, 2021.
- Rehman, Abdul, Zain Tariq, Shoaib ul din Memon, Ahmed Zaib, Muhammad Umar Khan, and Sumair Aziz. "Cucumber Leaf Disease Classification using Local Tri-directional Patterns and Haralick Features." In 2021 International Conference on Artificial Intelligence (ICAI), pp. 258-263. IEEE, 2021.
- Tariq, Zain, Abdul Rehman, Taimoor Aslam, Muhammad Umar Khan, Sumair Aziz, and Syed Zohaib Hassan Naqvi. "Automatic Classification of Modulation Schemes under Blind Scenario." In 2021 International Conference on Artificial Intelligence (ICAI), pp. 203-208. IEEE, 2021
Accomplishments
Paper Presentation Certificate, ICETST 2020
Paper Presentation Certificate, ICAI 2021
Outstanding Volunteer award from Umeed e Subh, a welfare society
Certification
Supervised Machine Learning: Regression and Classification
Interests
Image Processing
Artifical Intelligence
Data Science
Deep Learning
Cricket
I loved to play cricket with my friend on weekends.
Timeline
Graduate Researcher
ISML Lab
03.2023 - Current
Master of Science - IT Convergence Engineering
Gachon University
03.2023 - Current
Supervised Machine Learning: Regression and Classification
09-2022
Embedded Design Engineer
Aksa-Sds
10.2021 - 02.2023
AI For Everyone
10-2021
Python Data Structures
08-2021
Undergraduate Research Assistant
Syndicate of Embedded and Electronics Design (SEED)
03.2018 - 07.2021
Bachelor of Science - Electronics Engineering
University of Engineering And Technology, Taxila
10.2017 - 08.2021