Lecturer, Faculty of Mathematics and Data Science
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Dr. Mahmoud Alkhouli
Prof. Dr. Zindoga Mukandavire
Prof. Dr. Kaitano Dube
Dr. Ahlam Mohammed Alzoubi
Dr. Nidhi Chaturvedi
Dr. Zara Canbary
Dr. Evangelia Pantelaki
Dr. Wasim Ahmad
Dr. Sevda Ahmadian
Dr. Crystal Ioannou
Dr. Annamalai Chockalingam
Ronak J Lad
Elif Ranclaud
Dr. Muneer Jahwash
Dr. Petr Svoboda
Dr. Bhavana Rajeev
Dr. Baha Mohsen
Dr. Georgina Farouqa
Prof. Dr. Hicham Machmouchi
Omar Chafic
Dr. Elham Tolouei
Dr. Anju Anna Jacob
Dr. Walid Abou Hweij
Eng. Ajit Yesodharan
Eng. Manuel Abong
Eng. Shirley Fernandes
Mohamed Zouhir
Dr. Afaq Altaf
Dr. Ehsaneh Essen Etemadi
Prof. Hannah Al Ali
Prof. Alireza Daneshkhah
Dr. Mostafa Kamil
Dr. Muner Mustafa Abou Hasan
Dr. Thomas Mgonja
Dr. Blessy Trencia Lincy
Dr. Deepudev Shahadevan
Dr. Mohammad Abu Zaytoon
Dr. Rfaat Soliby
Dr. Zainab Rasheed
Dr. Rukshanda Kamran
Mawada Nasser
Riham Arab
Prof. Dr. Daoud Hilal
Lecturer, Faculty of Mathematics and Data Science
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.
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
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
Artificial Intelligence
Data Science
Deep Learning
Machine Learning
Critical Thinking and using AI in Education
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