Hyder Ali Segu Mohamed (Ph.D)
Full-time Faculty, Engineering
Dr. Hyder Ali holds a PhD in Information and Communication, with a distinguished career spanning over 30 years in academia. He is a revered member of six prestigious engineering societies, reflecting his broad influence and recognition in the engineering community.
Dr. Ali is currently leading a pioneering project on Diabetic Retinopathy detection using Deep Learning. This project aims to revolutionize the early diagnosis and treatment of this condition by utilizing advanced AI techniques to enhance the accuracy and speed of detection, ultimately improving patient care and outcomes.
With three decades of teaching experience, Dr. Ali has developed a profound teaching philosophy centered on nurturing critical thinking, innovation, and problem-solving skills in his students. He believes in creating an engaging and inclusive learning environment that encourages students to explore and push the boundaries of their knowledge.
Dr. Ali’s research philosophy is rooted in the pursuit of impactful and practical solutions to real-world problems. His work in Deep Learning and its applications in healthcare exemplifies his commitment to bridging the gap between theoretical research and practical implementation.
In addition to his academic and research pursuits, Dr. Ali is actively involved in service to the community. He participates in various committees and initiatives aimed at promoting engineering education and technological innovation, reflecting his unwavering commitment to the betterment of society through education and research.
- Signals & Systems
- Digital Signal Processing
- Communication Systems
- Advanced Communication Systems
- Digital Electronics.
- Hyder Ali Segu Mohamed., Sampoornam K P., and Saranya S “IoT-based Smart Irrigation and Monitoring System for Agriculture” Computational Intelligence in Robotics and Automation (10.1201/9781003181668-9) (2022). 29(05), 161-186.
- Hyder Ali Segu Mohamed., “A Social Bots Detection Based on Behavior Enhanced with Machine Learning Technique” International Journal of Advanced Science and Technology (Q4- Scopus Indexed) May 2020. Vol: 29(05), Page: 9229-9233. ISSN: 2005-4238 (Print) ISSN: 2207-6360 (Online).
- Hyder Ali Segu Mohamed, K. P. Sampoornam, and R. Priyadarshini, “Economics Analysis of Amazon EC2 Instances”, Journal of Computational and Theoretical Nano science, (Scopus Indexed) (EISSN: 1546-1963, 2018, 15(5), 1728–1733, ISSN: 1546-1955 (Print)
- Hyder Ali. S, , Dr. Yosef Jbara, “An efficient Artifact Free Denoising Technique for MR Images relying on Total Variation based Thresholding in Wavelet Domain”, ICGST Journal of Graphics, Vision and Image Processing, ISSN 1687-398X, 2018, Volume 18, Issue 1, ICGST LLC, Delaware, USA, June.
- Hyder Ali. S., Dr. Sukanesh. R, “An Effective Algorithm for Denoising MR and CT Images Using Digital Curvelet Transform” Springer Advances in Experimental Medicine and Biology – Software Tools and Algorithms for Biological Systems, ISSN: 0065-2598 2011, Volume 696, Part 6, pp 471-480, Plenum Press, USA.
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PhD, Information & Communication, Anna University Chennai,
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M.E, Communication Engineering, Madurai Kamraj University
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B.E, Electronics & Communication Engineering, Maduari Kamaraj University
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