Email id: mohammedaarif.ko@vit.ac.in
| Employee ID | 53684 | |||||
| Salutation (Prof./ Dr.) | Dr. | |||||
| Name | MOHAMMED AARIF .K.O. | |||||
| Designation | ASSISTANT PROFESSOR (SENIOR) | |||||
| School/Centre | SENSE | |||||
| Intercom | ||||||
| Educational details (Please mention all the degrees with latest first) | ||||||
| Degree | Passed out year | Specialization | Institute/University/ College | |||
| Ph.D | 2022 | Image Processing/ AI/ML | ANNA UNIVERSITY | |||
| M.E. | 2009 | APPLIED ELECTRONICS | ANNA UNIVERSITY | |||
| B.E. | 2007 | ECE | ANNA UNIVERSITY | |||
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| Post-Doctoral Experience if any | ||||||
| Research Details | ||||||
| Areas of Specialization | COMPUTER VISION- EDGE AI | |||||
| ORCID ID | 0000-0002-0848-6813 | |||||
| Scopus ID | 56879219100 | |||||
| H-index (scopus) | 6 | |||||
| Google Scholar ID | https://scholar.google.com/citations?user=ku_KGAkAAAAJ&hl=en | |||||
| i10 index | 5 | |||||
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| Patent Published Details | ||||||
| Patent Published Title | Mohammed Aarif K.O., Pakruddin.B, ”A REAL TIME SMART ATTENDANCE SYSTEM”, India Patent Office Journal No. 26/2023 Dated 30/06/2023, Application No.202341040769
A, Date of filing of Application :15/06/2023 , Publication Date : 30/06/2023 |
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| Mohammed Aarif K.O., Pakruddin.B, ”OPTIMIZED CNN MODLE FOR FRUIT DISEASE CLASSIFICATION USING Nvidia Jetson”,India Patent Office Journal No.
35/2023 Dated 01/09/2023, Application No. 202341046646 A, Date of filing of Application :11/07/2023 ,Publication Date : 01/09/2023 |
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| Book / Book Chapter Published Details | ||||||
| Title | Publisher | Year | ||||
| Mohamed Aarif K.O., Sivakumar P., Mohamed Yousuff C., Mohammed Hashim B.A.
(2021) Deep MammoNet: Early Diagnosis of Breast Cancer Using Multi-layer Hierarchical Features of Deep Transfer Learned Convolutional Neural Network. Advanced Machine Learning Approaches in Cancer Prognosis. Intelligent Systems Reference Library, vol 204. Springer, Cham. https://doi.org/10.1007/978-3-030-71975-3 12. |
Springer, Cham | 2023 | ||||
| Mohammed Aarif, K.O., Sivakumar, P., Caffiyar, M.Y., Hashim, B.A.M., Hashim,
C.M., Rahman, C.A. (2023). Nature-Inspired Optimization Algorithms: Past to Present. In: Nayak, J., Das, A.K., Naik, B., Meher, S.K., Brahnam, S. (eds) Nature-Inspired Optimization Methodologies in Biomedical and Healthcare. Intelligent Systems Reference Library, vol 233. Springer, Cham. https://doi.org/10.1007/978-3-031-17544-2 1 |
Springer, Cham.Springer, Cham. | 2023 | ||||
| Mohammed Aarif, K.O., Afroj Alam, Pakruddin, Riyazulla Rahman, J. (2024). Exploring Challenges and Opportunities for the Early Detection of Multiple Sclerosis Using Deep Learning. In: Raza, K., Singh, S. (eds) Artificial Intelligence and Autoimmune Diseases. Studies in Computational Intelligence, vol 1133. Springer, Singapore. https://doi.org/10.1007/978-981-99-9029-0_8 | Springer, Singapore. | 2024 | ||||
| Alam, A., Ahamad, M.K., Mohammed Aarif, K.O., Anwar, T. (2024). Detection of Rheumatoid Arthritis Using CNN by Transfer Learning. In: Raza, K., Singh, S. (eds) Artificial Intelligence and Autoimmune Diseases. Studies in Computational Intelligence, vol 1133. Springer, Singapore. https://doi.org/10.1007/978-981-99-9029-0_5 | Springer, Singapore. | 2024 | ||||
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| Personal Website Link (if any) | ||||||
