Martin Sagayam

|Martin Sagayam Kulandairaj - Editor| Dr. Martin Sagayam received his PhD in Electronics and Communication Engineering (Signal image processing using machine learning algorithms) from Karunya University, Coimbatore, India. He received his both ME in Communication Systems and BE in Electronics and Communication Engineering from Anna University, Chennai. Currently, he is working as Assistant Professor in the Department of ECE, Karunya Institute Technology and Sciences, Coimbatore, India. He has authored/ co-authored more number of referred International Journals. He has also presented more number of papers in reputed international and national conferences. He has authored 2 edited book, 2 authored book, book series and more than 15 book chapters with reputed international publishers. He has three Indian patents and two Australian patents for his innovations and intellectual property right. He is an active IEEE member. His area of interest includes Communication systems, signal and image processing, machine learning and virtual reality.

Publications

Lightweight Digital Trust Architectures in the Internet of Medical Things (IoMT)
Lightweight Digital Trust Architectures in the Internet of Medical Things (IoMT)
Ahdi Hassan, Pronaya Bhattacharya, Subrata Tikadar, Pushan Kumar Dutta, Martin Sagayam. © 2024. 448 pages.
In the field of healthcare technology, the Internet of Medical Things (IoMT) stands at the forefront of progress, revolutionizing patient care through advanced monitoring and...
Designing a Secure and Lightweight Ecosystem for Internet of Medical Things (IoMT) in Healthcare
Designing a Secure and Lightweight Ecosystem for Internet of Medical Things (IoMT) in Healthcare
M. Robinson Joel, V. Ebenezer, A. Jenefa, K. Martin Sagayam, J. Jerlin Rajan, Deepak Mandali. © 2024. 22 pages.
The surge in internet of things (IoT) devices, especially in healthcare's internet of medical things (IoMT), demands a nuanced balance between security and resource...
Speckle Noise Removal by SORAMA Segmentation in Digital Image Processing to Facilitate Precise Robotic Surgery
Speckle Noise Removal by SORAMA Segmentation in Digital Image Processing to Facilitate Precise Robotic Surgery
Roopa Jayasingh J., Jeba Kumar R. J. S., Deepika Blessy Telagathoti, K. Martin Sagayam, Sabyasachi Pramanik, Om Prakash Jena, Samir Kumar Bandyopadhyay. © 2022. 19 pages.
Kidney stones are renal calculi that are formed due to the collection of calcium and uric acid. The major symptom for the existence of these renal calculi is severe pain...
Future Trends and Challenges of UAV: Conclusion
Future Trends and Challenges of UAV: Conclusion
Tharun V., Parthiban S., Thusnavis Bella Marry, Martin Sagayam K., Ahmed A. Elngar. © 2022. 9 pages.
In this chapter, the design, modeling, and control of a UAV was presented. The conceptual design stages of the UAV were analyzed in detail. UAVs as observers in the sky will...