صفحه شخصی دکتر فتاحی

• Machine Learning Algorithms (Classification & Clustering)

• Deep Learning (Convolutional Neural Networks)

• Imbalanced Data Classification & Optimization

• Feature Extraction and Feature Weighting

• Fraud Detection in Financial and Credit Systems

• Artificial Intelligence Applications in Real-World Problems

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• موسسه آموزش عالي خراسان (تحصيلات تكميلي و كارشناسي)
• دانشگاه آزاد مشهد ( كارشناسي)
• دانشگاه کاشمر (کارشناسی)
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Articles in Journals:

1. 1. Fattahi, M., Moattar, M.H., Forghani, Y. (2023). Locally alignment based manifold learning for simultaneous feature selection and extraction in classification problems. Knowledge-Based Systems.

   2. Fattahi, M., Moattar, M.H., Forghani, Y. (2022). Improved cost sensitive representation of data for solving the imbalanced big data classification problem. Journal of Big Data.

   3. Fattahi, M., Moattar, M.H. (2015). A New Hybrid Fraud Detection Approach in Credit Cards and Financial Statements. ICEEE.

   4. Fattahi, M. (2017). Fraud detection in financial statements and credit cards. Book (Persian).

   5. Fattahi, M. (2018). Data analysis models and algorithms for intelligent data analysis. Book (Persian).

   6. Fattahi, M. (2025). JavaScript Programming for Beginners and Youth. Book (Persian).

   7. Fattahi, M. (August 2025). Artificial Intelligence and Machine Learning for Coders. Book (Persian).

Ph.D. Thesis (2018–2023): Simultaneous Feature Extraction and Weighting by Maximizing Inter-Class Distance and Minimizing Intra-Class Distance in Imbalanced Classification Problems

M.Sc. Thesis (2011–2015): Presenting a Combined Method to Detect Fraud in Financial Statements and Credit Cards

• عضو هيئت علمي موسسه آموزش عالي خراسان
• مدير تحصیلات تکمیلی گروه کامپیوتر موسسه آموزش عالي خراسان
• مشاور انجمن علمی گروه کامپیوتر موسسه آموزش عالي خراسان
• مدیر نرم‌افزار، شرکت Reflection Software، مشهد 

• طراح سایت، مؤسسه انتشارات به‌نشر (آستان قدس رضوی)،

• پژوهشگر در مؤسسه سرای فناوری هوشمند و سلامت، دانشگاه آزاد اسلامی مشهد، ایران