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Dr. Mahmoud Alkhouli

Lecturer, Faculty of Mathematics and Data Science

Biography

Dr. Mahmoud Saed Alkhouli is a distinguished academic with over 16 years of comprehensive experience in teaching, research, and educational leadership across India, Lebanon, Syria, and the United Arab Emirates. He currently serves as a Senior Lecturer in the Faculty of Mathematics and Data Science at Emirates Aviation University, Dubai. Dr. Alkhouli has held several notable academic leadership positions, including his role as Academic Head for the Engineering, IT, and Creative Media departments at ALDAR University College, Dubai, where he served for two years. Prior to that, he successfully led the School of Computer Science at British Applied College, UAE, for four years, driving academic innovation and program development. He holds a Doctorate in Computer Science (AI) from Gujarat University, India, a Master’s degree in Computer Science (with distinction) from Savitribai Phule Pune University, and a Bachelor’s degree in Informatics Engineering from Arab International University, Damascus, Syria. Dr. Alkhouli’s research interests lie at the intersection of Artificial Intelligence, Data Analytics, the Internet of Things (IoT), and Deep Learning. He is also actively engaged in exploring Critical Thinking methodologies and the integration of AI in education, aiming to transform teaching practices and enhance learning outcomes. Alkhouli is committed to advancing knowledge and mentoring the next generation of leaders in Computer Science and Data Science.

Education
  • PhD. in Computer Science Specialization (AI, Deep Learning), Gujarat University, India.

  • MSC in Computer Science, Pune University (SPPU), India, 2015 (With distinction)

  • Bachelor of Informatics Engineering, Arab European University, Damascus, 2010

Teaching Area
  • Artificial intelligence

  • Machine Learning

  • Neural Networks

  • Object Oriented Programming

  • Software Engineering

  • Algorithms and Data Structures

  • Data Analytics

  • Intelligent Agents

  • Website Design and Development

  • Database Design and Development

  • Innovation and Creative Thinking

Research Area
  • Artificial Intelligence

  • Data Science

  • Deep Learning

  • Machine Learning

  • Critical Thinking and using AI in Education

Publications

  • Performance Analysis for Optimized Light Weight CNN Model for Leukemia Detection and Classification using Microscopic Blood Smear Images, Mahmoud S Alkhouli, H Joshi,Scalable Computing: Practice and Experience 25 (3), 1716-1727

  • Enhanced Feature Fusion Techniques for Acute Leukemia Detection in Microscopic Blood Cells,Mahmoud S Alkhouli, H Joshi,2024 5th International Conference on Communication, Computing & Industry 6.0

  • Trans-SegNet-Deep Transfer Learning Approach to Detect Abnormalities in Microscopic Blood Smear Images for Medical Image Segmentation,Mahmoud S Alkhouli, H Joshi,2024 5th International Conference on Communication, Computing & Industry 6.0

  • E-DCNN: Ensemble based Deep CNN Model for acute lymphoblastic leukaemia (ALL) classifier using Microscopic Blood Smear Images, Mahmoud S Alkhouli, H Joshi,Intelligent Decision Technologies: Practice and Experience 25 (3), 1716-1727

  • Intelligent privacy preserving deep learning model for securing IoT healthcare system in cloud storage,S Jayagopalan, Mahmoud Alkhouli, R Aruna,Journal of Intelligent & Fuzzy Systems 45 (4), 5223-5238

  • Prediction of Chronic Heart Disease using Machine Learning,NR Rajalakshmi, J Santhosh, J Arun Pandian, Mahmoud Alkhouli, Intelligent Manufacturing and Energy Sustainability: Proceedings of ICIMES