Dr.Anil Johny done his BE in Electronics And Instrumentation at VMKV Engineering College in 2001. His Mtech is in Embedded System Design from Rajagiri College of Engineering And Technology in 2012. Areas of interest: Image processing, AI, Machine learning.
He completed his PhD from Cochin University of Science and Technology(CUSAT) in “Prediction of Malignacy in Histology Image with Deep learning Model Using Resource Limited Embedded Devices and Edge Computing.” in the year 2023.
Head of the department, Electronics and instrumentation from April 2025 to till Date
- ‘Optimization of CNN model with hyper parameter tuning for enhancing
sturdiness in classification of histopathological images’ in Second International Conference on IoT, Social, Mobile, Analytics & Cloud in Computational Vision & Bio-Engineering (ISMAC-CVB 2020) https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3735831
- Anil Johny and K. N. Madhusoodanan, “Miniature probability maps using resource limited embedded device for classification of histopathological images,” 2022 International Conference on Innovative Trends in Information Technology (ICITIIT), 2022, pp. 1-4, doi: 10.1109/ICITIIT54346.2022.9744131. link: https://ieeexplore.ieee.org/document/9744131
- ‘Dynamic Learning Rate in Deep CNN Model for Metastasis Detection and Classification of Histopathology Images’ https://doi.org/10.1155/2021/5557168
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“Edge Computing Using Embedded Web Server with Mobile Device for Diagnosis and Prediction of Metastasis in Histopathological Images”
International Journal of Computational Intelligence Systems,
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“Edge Computing Using Embedded Web Server with Mobile Device for Diagnosis and Prediction of Metastasis in Histopathological Images”
International Journal of Computational Intelligence Systems,
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“Whole Slide Images To Miniature Probability Maps Using Edge Computing And Resource Limited Embedded Devices”,
Golden Jubilee International Conference on Sustainable Technology and Innovation for Industry 4.0 – 2022 (icstii 2022) , Proceedings of the International conference onSustainable technology and Innovation for Industry 4.0 (icstii 2022) April 21-22, 2022, CUSAT
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Edge Computing Based Miniature Maps Using Embedded Webserver For Prediction of Malignancy.
6th International Conference on Devices, Circuits and Systems (ICDCS)2022
DOI: 10.1109/ICDCS54290.2022.9780688