Engr. Abdul Basit Mughal

Doctoral Researcher · University of L'Aquila, Italy · Fully Funded by Abruzzo Region

MSc Data Science graduate from Bahria University Islamabad (Cum Laude, CGPA 3.74/4.00) and current Doctoral Researcher in ICT at the University of L'Aquila, Italy, supported by a fully funded scholarship from the Abruzzo Region, Italy. Author and co-author of 5 journal papers and 6 IEEE conference papers. Specializes in pattern recognition, deep learning, large language models (LLMs), vision-language models (VLMs), biometric identification, medical image analysis, and remote sensing.

L'Aquila, Italy abdulbasit.mughal@graduate.univaq.it

Education

Doctoral Researcher — Information & Communication Technology (ICT)

University of L'Aquila — DISIM / USRC, Italy

2025 – Present

Fully funded doctoral scholarship awarded by the Abruzzo Region, Italy. Research focus: Wild Animal Monitoring using Computer Vision and Deep Learning. Benchmarking YOLO model variants on custom wildlife datasets.

Master of Science in Data Science · Cum Laude

Bahria University Islamabad, Pakistan

02/2020 – 04/2022

Graduated with CGPA 3.74/4.00. Placed on the Rector's Honor List. Received Merit Scholarship and Prime Minister's Laptop Scheme Award.

Thesis: Person Identification through Gait — Developed a robust gait recognition framework using pose estimation, CNN (spatial features), LSTM (temporal features), Average Temporal Pooling, and SVM classification. Achieved 98.4% accuracy on the CASIA-B dataset in just 13 seconds. Supervisor: Dr. Arif Ur Rahman.

Bachelor of Science in Computer Engineering

Bahria University Islamabad, Pakistan

09/2014 – 09/2018

Final Year Project: IoT-Based Toll Collection — automated toll system using RFID and machine learning for enhanced efficiency. Supervisor: Dr. Amna Waheed.

Work Experience

Computer Vision Engineer

Upwork (Freelance)

03/2022 – Present

Worked on diverse client projects applying image analysis, object detection, and object segmentation using deep learning. Designed AI solutions for medical image analysis, biometric identification, and remote sensing. Delivered custom models with reproducible implementations on GitHub.

Network Engineer

Greexta Tech Pvt — Islamabad

12/2018 – 01/2020

Managed LAN/WAN networks, system security, and client infrastructure. Gained hands-on expertise in cybersecurity and system administration, which later shaped research interests in IoT security.

Intern — IEEE CS Robotics Lab

IEEE Bahria University Computer Society — Islamabad

07/2017 – 09/2017

Designed and developed a line follower robot. Organized and led a workshop presenting the project and conducted hands-on training sessions for students on robot design and implementation.

Intern — IT Department

Zia Steel Mills — Islamabad

06/2017 – 08/2017

Developed and maintained an SQL-based employee database. Enhanced the company website using HTML, CSS, PHP, and JavaScript. Reduced system downtime through effective cross-functional troubleshooting.

Publications

11 total

Deep Learning for Dynamic Wildlife Monitoring: A Real-Time Approach

Abdul Basit Mughal, Rafiullah Khan, Atiq ur Rehman · IEEE Access · 2025

Person Recognition via Gait: A Review of Covariate Impact and Challenges

Abdul Basit Mughal, Rafiullah Khan · MDPI Sensors · 2025

Look-Alike Face Recognition Using Deep Learning

Abdul Basit Mughal, Syed Mujtaba Haider, Rafiullah Khan · International Journal of AI & Mathematical Sciences · 2023

DeepPoseNet: A Comprehensive Study on Human Pose Estimation with Deep Learning Techniques

Syed Mujtaba Haider, Abdul Basit Mughal, Rafiullah Khan · International Journal of AI & Mathematical Sciences · 2023

An Approach for Identification of Speaker using Deep Learning

Rabia, Syed Mujtaba Haider, Abdul Basit Mughal · International Journal of AI & Mathematical Sciences · 2022

Deep Learning Approach to Person Identification via Gait Analysis in Adverse Covariate Scenarios

Abdul Basit Mughal, Syed Mohsin Shah, Rafi Ullah Khan · IEEE ICMI 2025 · Michigan University, USA

Real-Time Wildlife Tracking with Fine-Tuned YOLOv11

Abdul Basit Mughal, Syed Mujtaba Haider, Syed Mohsin Shah · IEEE ICTEST 2025

Real-Time Detection of Underwater Debris Using YOLOv11: An Optimized Approach

Abdul Basit Mughal, Syed Mohsin Shah, Rafi Ullah Khan · IEEE ICETECC 2025

FireSense: AI-based Wildfire and Smoke Detection in Forests

Abdul Basit Mughal, Javiriya Hameed Arain, Rafi Ullah Khan · IEEE ICTCS 2025

From Field to Data: Deep Learning Redefines Player Recognition and Analytics

Syed Mujtaba Haider, Abdul Basit Mughal, Syed Mohsin Shah · IEEE ICMI 2025 · Michigan University, USA

Deep Learning for Accurate Detection of Small Brain Tumours (Accepted)

Syed Mujtaba Haider, Abdul Basit Mughal, Saba Latif · IEEE International Conference on Communication, Computing and Digital Systems · 2025

Urdu News Article Recommendation Model using Natural Language Processing Techniques

Syed Zain, Abdul Basit Mughal, Syed Mujtaba Haider · arXiv:2206.11862 · 2022

Exploiting Transliterated Words for Finding Similarity in Inter-Language News Articles using Machine Learning

Naeem, Syed Mujtaba Haider, Abdul Basit Mughal · arXiv:2206.11860 · 2022

Projects

6 projects

Morphing Face Detection Using Deep Learning

Developed face morphing detection models using the Real and Fake Face Detection Kaggle dataset. Enhanced VGG16 with SVM classifier and built a custom CNN with softmax to compare performance.

Lung Cancer Detection Using Fine-Tuned VGG16

Fine-tuned VGG16 CNN on chest CT scans for lung cancer detection. Applied preprocessing, normalization, and unfreezing of final layers — achieving 95% validation accuracy with real-time predictions.

Real-Time Human Detection and Counting in Video Streams

Implemented real-time human detection and counting using CNNs on continuous video frames. Enables efficient surveillance and crowd monitoring applications.

Analysis of Arrhythmia Disease Dataset

Analyzed the Arrhythmia ECG dataset using multiple classifiers (SVM, CNN, Random Forest, KNN, GBM) to evaluate and compare performance for accurate cardiac diagnosis.

Deep Learning Model for Age and Gender Detection

Developed a CNN-based system to predict a person's gender and age using the Audience dataset. Employed CNNs for feature extraction with fully-connected softmax layers for classification.

Power BI Dashboards

Developed interactive Power BI dashboards for visualizing extensive datasets through dynamic charts, graphs, and KPI tracking across diverse business domains.

Skills

Computer Vision & Object Detection95%

Deep Learning (PyTorch / TensorFlow)92%

Python & Data Science90%

LLMs / VLMs / Generative AI80%

Medical Image Analysis85%

HPC / SLURM / Linux82%

Research & Academic Writing90%

Power BI / Tableau / Data Viz78%

Biometrics & Gait Recognition88%

Remote Sensing & GIS72%

Programming Languages

PythonC++C JavaRPHP JavaScriptSQL

AI & Deep Learning

PyTorchTensorFlowKeras JAX/FlaxMXNetScikit-Learn XGBoostLightGBMCatBoost

Computer Vision

OpenCVYOLOv8YOLOv11 VGG16CNNLSTM Object DetectionSegmentation

Data Science

PandasNumPySeaborn StatsmodelsJupyter Power BITableau

Tools & Platforms

GitHubGitLabAnaconda SLURM / HPCVS Code SSH LinuxAzure MLGoogle Cloud

Research Areas

Wildlife MonitoringMedical Imaging Gait RecognitionFace Recognition Remote SensingNLPIoT Security

Honours & Awards

International PhD Scholarship Awards

✓ Accepted

Abruzzo Region Scholarship

University of L'Aquila

Italy · Fully Funded PhD

PhD Scholarship Winner

University of Bologna

Italy · PhD Programme

PhD Scholarship Winner

University of Florence

Italy · PhD Programme

Open Doors Scholarship Winner

Russian Federation

Russia · PhD Programme

PhD Scholarship Winner

University of Guelph

Canada · PhD Programme

PhD Scholarship Winner

University of South Australia

Australia · PhD Programme

🏅

Certificate of Academic Honor (Cum Laude)

Graduated MSc Data Science with CGPA 3.74/4.00 — Bahria University Islamabad

April 2022

🎓

Rector's Honor List

Placed on the Rector's Honor List for exceptional academic achievement during MSc Data Science

March 2022

💡

Merit Scholarship

Received merit-based scholarship during MSc Data Science for consistently high academic performance

February 2021

💻

Prime Minister's Laptop Scheme Award

Received laptop from the Government of Pakistan in recognition of outstanding academic performance

August 2022

Certifications

7 certs

IBM

Machine Learning with Python

IBM · Coursera · Oct 2023

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Machine Learning with Python certificate

IBM

Introduction to Computer Vision and Image Processing

IBM · Coursera · Oct 2023

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Stanford

Fundamentals of Machine Learning for Healthcare

Stanford University · Coursera · Dec 2023

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Microsoft

Microsoft Azure Machine Learning for Data Scientists

Microsoft · Coursera · Nov 2023

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IBM

Data Analysis with Python

IBM · Coursera · Nov 2023

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IBM

Data Visualization and Dashboards with Excel and Cognos

IBM · Coursera · Nov 2023

↗ Verify

Google

Google Cloud Big Data and Machine Learning Fundamentals

Google Cloud · Coursera · Nov 2023

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Degrees

2 degrees

🎓

Bachelor of Computer Engineering

Bahria University Islamabad · 2014–2018

Click to view degree certificate

🏅

Master of Science in Data Science · Cum Laude

Bahria University Islamabad · 2020–2022

Click to view degree certificate

🏅

Certificate of Academic Honour — Cum Laude

Bahria University Islamabad · CGPA 3.74/4.00 · Master of Science in Data Science · 05 June 2022

Click to view certificate

Engr. Abdul Basit Mughal

Education

Doctoral Researcher — Information & Communication Technology (ICT)

Master of Science in Data Science · Cum Laude

Bachelor of Science in Computer Engineering

Work Experience

Publications

Deep Learning for Dynamic Wildlife Monitoring: A Real-Time Approach

Person Recognition via Gait: A Review of Covariate Impact and Challenges

Look-Alike Face Recognition Using Deep Learning

DeepPoseNet: A Comprehensive Study on Human Pose Estimation with Deep Learning Techniques

An Approach for Identification of Speaker using Deep Learning

Deep Learning Approach to Person Identification via Gait Analysis in Adverse Covariate Scenarios

Real-Time Wildlife Tracking with Fine-Tuned YOLOv11

Real-Time Detection of Underwater Debris Using YOLOv11: An Optimized Approach

FireSense: AI-based Wildfire and Smoke Detection in Forests

From Field to Data: Deep Learning Redefines Player Recognition and Analytics

Deep Learning for Accurate Detection of Small Brain Tumours (Accepted)

Urdu News Article Recommendation Model using Natural Language Processing Techniques

Exploiting Transliterated Words for Finding Similarity in Inter-Language News Articles using Machine Learning

Projects

Morphing Face Detection Using Deep Learning

Lung Cancer Detection Using Fine-Tuned VGG16

Real-Time Human Detection and Counting in Video Streams

Analysis of Arrhythmia Disease Dataset

Deep Learning Model for Age and Gender Detection

Power BI Dashboards

Skills

Programming Languages

AI & Deep Learning

Computer Vision

Data Science

Tools & Platforms

Research Areas

Conferences Attended

Honours & Awards

Certificate of Academic Honor (Cum Laude)

Rector's Honor List

Merit Scholarship

Prime Minister's Laptop Scheme Award

Certifications

Contact

Degrees