Email: suhail.k@vit.ac.in
| Employee ID | 54508 | ||||
| Salutation (Prof./ Dr.) | Dr. | ||||
| Name | Suhail K | ||||
| Designation | Assistant Professor Senior Grade 1 | ||||
| School/Centre | SCOPE | ||||
| Intercom | |||||
| Educational details (Please mention all the degrees with latest first) | |||||
| Degree | Passed out year | Specialization | Institute/University/ College | ||
| PhD | 2025 | Signal Processing (Medical Imaging and Artificial Intelligence) | Anna university Chennai
(PSG College of Technology Coimbatore) |
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| M. Tech | 2019 | Signal Processing | College of Engineering Trivandrum, Thiruvananthapuram, Kerala | ||
| B. Tech | 2016 | Electronics and Communication Engineering | University of Calicut, Malappuram, Kerala | ||
| Post-Doctoral Experience if any | NIL | ||||
| Research Details | |||||
| Areas of Specialization | Research Area: Image Processing, Medical Imaging, Deep Learning, Machine Learning, Computer Vision | ||||
| ORCID ID | https://orcid.org/0000-0003-0451-4917 | ||||
| Scopus ID | 58154934700 | ||||
| H-index (scopus) | 2 | ||||
| Google Scholar ID | https://scholar.google.com/citations?user=uaOeBl0AAAAJ&hl=en | ||||
| i10 index | 2 | ||||
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| AICTE Doctoral Fellowship – ADF (2019-2023) | |||||
| GATE PG Scholarship – (2017-2019) | |||||
| Major International Collaboration Details – NIL | |||||
| Research & publication:
1. Suhail, K., & Brindha, D. (2024). Microscopic urinary particle detection by different YOLOv5 models with evolutionary genetic algorithm based hyperparameter optimization. Computers in Biology and Medicine, 169, 107895. 2. Suhail, K., & Brindha, D. (2021). A review on various methods for recognition of urine particles using digital microscopic images of urine sediments. Biomedical Signal Processing and Control, 68, 102806. |
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| Editorial Experience (if any) | –
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| Personal Website Link (if any) | – | ||||
