jmani@gitam.edu
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Dr. Jeevan K M obtained his Ph.D degree from the School of Technology and Applied Sciences, Mahatma Gandhi University, Kottayam, Kerala. He has more than 5 years of industrial experience and 16 years of teaching and research experience. His area of research includes Computer Vision, Hardware implementation of Algorithms, Machine learning, and multi-model/multi-sensor data fusion. Currently, he is associated with the Centre for Airborne Systems as principal investigator for a funded project.
Research Publications
- A Colour-Focused Visible and Infrared Image Fusion Framework for Aiding Human Perception, Proceedings of CONECCT 2024 - 10th IEEE International Conference on Electronics, Computing and Communication Technologies, 2024
- Epileptic Seizure Detection Using a Non-Invasive Brain-Machine Interfacing System, ARPN Journal of Engineering and Applied Sciences, 2022, 17(1), pp. 2929–2935
- Image Hiding Technique Using a Pseudo Hexagonal Structure Approach, International Journal of Computers and Applications (Taylor & Francis)
- Wavelet Thresholding Based De-Noising Technique For Color Image, ARPN Journal of Engineering and Applied Sciences
- Face recognition with frame size reduction and DCT compression using PCA algorithm, Indonesian Journal of Electrical Engineering and Computer Science
Ongoing Research Projects
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Design and Analysis of Multi-Sensor Image Fusion Based Object Detection and Classification (Funded by ARDB - DRDO) (The airborne surveillance platform has specific image sensors, namely electro-optical, infrared and synthetic aperture radars. These sensors have their independent advantages and weaknesses. This project aims to fuse these sensors’ information to obtain an effective target detection and classification tool.)
Expertise
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Computer Vision.
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Hardware implementation of Algorithms.
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Machine learning.
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Multi-model/multi-sensor data fusion.
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Signals and Image Processing
