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Pakistan

USD 20 /hr

PhD | AI & Machine Learning | Statistical Analysis | Academic Writing & Review

Profile Summary

I’m a PhD in Computer Science with 8+ years of experience in AI/ML, XAI, and statistical consulting. I’ve helped academic and industry clients analyze research data, develop interpretable machine learning models, review manuscripts, and publish in high-impact journals. Let’s collaborate to bring clarity and credibility to your research or data project.

Subject Matter Expertise

• ★ Data Analysis
• ★ Machine Learning
• ★ Python
• ☆ Computer Science
• ☆ Information Technology
• ☆ Database Management
• ☆ Automation
• ☆ Data Processing
• ☆ Data Exploration
• ☆ Cluster Analysis
• ☆ Data Visualization
• ☆ Data Collection
• ☆ Neural Networks
• ☆ Deep Learning
• ☆ Statistics
• ☆ Java
• ☆ R
• ☆ User Research
• ☆ Gap Analysis

Services

• Research
• Consulting
• Data & AI
• Product Development

Research User Research, Feasibility Study, Scientific and Technical Research, Systematic Literature Review

Consulting Scientific and Technical Consulting

Data & AI Predictive Modeling, Statistical Analysis, Algorithm Design-Non ML, Algorithm Design-ML, Data Visualization, Data Processing, Data Insights

Product Development Formulation

Work Experience

Assistant Prof

Air University

February 2020 - Present

Assistant Professor

Air University

February 2020 - Present

Assistant Professor

University of Lahore

February 2017 - February 2020

Education

PhD

Ghulam Ishaq Khan Institute of Science & Technology - Pakistan

January 2010 - November 2016

PhD Computer System Engineering (Faculty of Computer Science & Engineering )

Ghulam Ishaq Khan Institute of Engineering Sciences and Technology

January 2010 - November 2016

Certifications

• Certification details not provided.

Publications

CONFERENCE PAPER

Tufail Muhammad (2025). Software Defect Prediction using Stacking Ensemble Combined with Oversampling Technique. 2024 International Conference on Frontiers of Information Technology (FIT).

JOURNAL ARTICLE

Tufail Muhammad, Haroon ur Rashid Khan, Waqas Bin Khidmat, Amira Hammouda (2023). Machine learning in the boardroom: Gender diversity prediction using boosting and undersampling methods . Research in International Business and Finance.

Tufail Muhammad, Jawad Usman Arshed, Masroor Ahmed, Mehtab Afzal, Muhammad Arif, Banchigize Bazezew (2022). GA‐IRACE: Genetic Algorithm‐Based Improved Resource Aware Cost‐Efficient Scheduler for Cloud Fog Computing Environment . Wireless Communications and Mobile Computing.

Tufail Muhammad, Mehtab Afzal, Nadir Shah (2019). Web video classification with visual and contextual semantics . International Journal of Communication Systems.

Tufail Muhammad, Zahid Halim, Majid Ali Khan (2017). Visualizing trace of Java collection APIs by dynamic bytecode instrumentation . Journal of Visual Languages & Computing.

Tufail Muhammad, Zahid Halim (2017). Quantifying and optimizing visualization: An evolutionary computing-based approach . Information Sciences.

Tufail Muhammad, Zahid Halim (2016). Employing artificial neural networks for constructing metadata-based model to automatically select an appropriate data visualization technique . Applied Soft Computing.