Mohammed Abdul Basith Ali Khan
King Saud University, King Khalid University, Jawaharlal Nehru Technological University, Hyderabad
About
Mohammed Abdul Basith Ali Khan is an educator and mentor, a Ph.D research scholar at Acharya Nagarjuna University (Guntur, Andhra Pradesh, India), specializing in Artificial Intelligence, Data Science, Machine Learning, Deep Learning, and Medical Image Analysis. His research focuses on developing advanced artificial intelligence techniques for improving the accuracy, interpretability, and reliability of medical image analysis. He holds a Master's degree in Computer Science and Engineering and a Bachelor's degree in Computer Science and Information Technology. Professionally, he has worked as an ICT Trainer at King Saud University, Preparatory Year, Riyadh, Saudi Arabia, where he contributed to digital skills development and technology-enhanced learning. He also served as a Computer Science Lecturer at King Khalid University, Abha, Saudi Arabia, engaging in teaching core computing subjects and contributing to academic growth in a multicultural learning environment. His academic and professional interests lie in bridging research and practice by applying intelligent computing methods to solve real-world healthcare challenges while fostering innovation in higher education and artificial intelligence-driven medical applications.
Employment
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King Saud University Faculty2019 - Present
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King Khalid University Lecturer2012 - 2019
Education
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Jawaharlal Nehru Technological University, Hyderabad Master of Technology2009 - 2011
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Jawaharlal Nehru Technological University, Hyderabad Bachelor of Technology2001 - 2005
Projects & Funding
Projects & funding information is unavailable.
Publications (4)
- FedEGHO: A Robust Epsilon-Greedy Framework for Scalable Hyperparameter Tuning in Federated Learning Save
- Fractional Tangent Search Hiking optimization enabled Squeezenet for post-COVID heart health monitoring in Federated Learning Save
- Improving ECG: Diagnostic Accuracy with Advanced Image Pre-processing and Hybrid CNN-LSTM Models Save
- Post-COVID effect on heart after recovery based on hybrid EfficientNet-DBN with multilevel classification using ECG images Save