プロフィール詳細

プロジェクトを作成

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Dr. Tufail M.に依頼

Pakistan

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

プロフィール概要

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.

専門分野

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

サービス

• Writing
• Research
• Consulting
• Data & AI
• Product Development

Writing Technical Writing

Research User Research, Feasibility Study, Fact Checking, Gap Analysis, 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

職務経験

Assistant Prof

Air University

2月 2020 - 現在

Assistant Professor

Air University

2月 2020 - 現在

Assistant Professor

University of Lahore

2月 2017 - 2月 2020

学歴

PhD

Ghulam Ishaq Khan Institute of Science & Technology - Pakistan

1月 2010 - 11月 2016

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

Ghulam Ishaq Khan Institute of Engineering Sciences and Technology

1月 2010 - 11月 2016

認定資格

• 認定資格の詳細は未入力です。

出版物

JOURNAL ARTICLE

Tufail Muhammad (2026). A hypothesis-driven responsible AI framework for interpretable ESG forecasting with RuleFit . Scientific Reports.

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.

CONFERENCE PAPER

Tufail Muhammad (2026). Enhancing Software Defect Prediction using Multi-Head Attention Transformers with Synthetic Oversampling. 2025 International Conference on Frontiers of Information Technology (FIT).

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

Tufail Muhammad (2023). A Machine Learning Based Predictive Model to Diagnose Heart Failure Patients using Imbalanced Classification Problem. 2023 4th International Conference on Advancements in Computational Sciences (ICACS).