Research Interest and Publications-Dr Mohamed Yacin Sikkandar

Dr Mohamed Yacin Sikkandar

Research Interest

1. Developing portable medical devices and use of computerized signal analysis

2. Numerical Modelling of Physiological Systems

3. Medical Thermal Imaging techniques for feature extraction

4. Biosignal and Medical Image Processing and Analysis Using Artificial Intelligence

Publications

1. Sikkandar, M. Y., & Almedhun, A. A. A. (2022). Numerical investigation of hemodynamic pattern in carotid artery dynamic aneurysm on bifurcation region for early clinical decision making. Expert Systems, e12951.

2. Thavavel Vaiyapuri, Ashit Kumar Dutta, Mohamed Yacin Sikkandar, Deepak Gupta, Bader Alouffi, Abdullah Alharbi, Hafiz Tayyab Rauf, Seifedine Kadry, "Design of Metaheuristic Optimization-Based Vascular Segmentation Techniques for Photoacoustic Images", Contrast Media & Molecular Imaging, vol. 2022, Article ID 4736113, 12 pages, 2022

3. Mohamed Yacin Sikkandar., Begum, S. S., Alkathiry, A. A., Shlwan, M., Manzar, M. D. Automatic Detection and Classification of Human Knee Osteoarthritis Using Convolutional Neural Networks. CMC-Computers, Materials & Continua, 70(3), 4279–4291, 2022 .

4. Sikkandar, M.Y., Sabarunisha Begum, S., Alkathiry, A.A. et al. Segmentation of human knee osteoarthritis images using unsupervised local center of mass computation technique. J Ambient Intell Human Comput (2021).

5. R. H. Aswathy, P. Suresh, Mohamed Yacin Sikkandar, S. Abdel-Khalek, Hesham Alhumyani, Rashid A. Saeed, Romany F. Mansour, Optimized Tuned Deep Learning Model for Chronic Kidney Disease Classification, CMC-Computers, Materials & Continua, 70, 2, 2097-2111, 2022 .

6. Srinivasan, M., Shanmuganathan, C., Gupta, S.M.K. et al. Multi-view representation based speech assisted system for people with neurological disorders. J Ambient Intell Human Comput (2021).

7. Sundaram SG, Aloyuni SA, Alharbi RA, Alqahtani T, Sikkandar MY, Subbiah C. Deep Transfer Learning Based Unified Framework for COVID19 Classification and Infection Detection from Chest X-Ray Images. Arab J Sci Eng. 2021 Aug 11:1-18.

8. T. Vaiyapuri, E. L. Lydia, M. Y. Sikkandar, V. G. Díaz, I. V. Pustokhina and D. A. Pustokhin, "Internet of Things and Deep Learning Enabled Elderly Fall Detection Model for Smart Homecare," in IEEE Access, vol. 9, pp. 113879-113888, 2021

9. J. Jayanthi, M. Kavitha, T. Jayasankar, A. Sagai Francis Britto, N. B. Prakash, Mohamed Yacin Sikkandar, C. Bharathiraja, Segmentation of Brain Tumor Magnetic Resonance Images Using a Teaching-Learning Optimization Algorithm, Computers, Materials & Continua, Vol.68, No.3, 2021, pp.4191-4203

10. E. Punarselvam, Mohamed Yacin Sikkandar, Mohsen Bakouri, N. B. Prakash, T. Jayasankar and S. Sudhakar, Different loading condition and angle measurement of human lumbar spine MRI image using ANSYS, Journal of Ambient Intelligence and Humanized Computing, 12, pp 4991–5004 (2021)

11. Sikkandar MY. Automatic Detection of Genetics and Genomics of Eye Disease Using Deep Assimilation Learning Algorithm. Interdiscip Sci. 2021 Jun;13(2):286-298.