MARTIN SAGAYAM KULANDARIAJ
Karunya University, Anna University, Chennai
Research areas: Computer Science · Computer Vision and Pattern Recognition · Advanced Neural Network Applications · AI in cancer detection · Internet of Things and AI
0000-0003-2080-0497
About
Dr. K. 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 Master of Engineering in Communication Systems and Bachelor of Engineering 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 (Deemed to be University), Coimbatore, India. His area of expertise in image processing, machine learning, augmented reality and virtual reality. 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 3 edited book, 3 authored book, book series and more than 15 book chapters with reputed international publishers like Elsevier, Springer, IGI Global and CRC press. He has three Indian patents and three Australian patents for his innovations and intellectual property right. He is an active reviewer in the various journal of Signal, Image and Video Processing, Intelligent Decision Technologies, International Journal of Engineering Research & Technology, Pattern analysis and its applications and Informing Science Institute. He is an active member of professional bodies such as IEEE, Engineering and Scientific Research Groups, International Society of Promising Computer Engineers, Copernicus, Scientific Engineering Research Corporation, International Association of Computer Science and Information Technology, International Association of Engineers, Indian Society of Electronics and Communication Engineering and Orcid. He is a vice chair of Scientific Innovation Research Group (SIRG), Beni – Suef City, Egypt. He is an active supervisor for international interns from Technical University of Munich, Germany & Dresden University of Technology, Germany and Samsung PRISM.
Employment
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Karunya University Assistant Professor2013 - Present
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Anna University, Chennai Lecture2011 - 2013
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (52)
- A Multilevel Deep Learning Model for Automated Brain Tumor Segmentation Using Magnetic Resonance Images Save
- Introduction to Neuromorphic Computing Systems Save
- Predicting Online Fraudulent Transaction Using Machine Learning Save
- Predicting Online Fraudulent Transaction Using Machine Learning Save
- Analytical approximate solution of fractional order smoking epidemic model Save
- Analytical approximate solution of fractional order smoking epidemic model Save
- Predicting Online Fraudulent Transactions Using Machine Learning Save
- Predicting Online Fraudulent Transactions Using Machine Learning Save
- UAVs for Multidisciplinary Applications Save
- Predicting the Death Rate Around the World Due to COVID-19 Using Regression Analysis Save
- Visual-Saliency-Based Abnormality Detection for MRI Brain Images—Alzheimer’s Disease Analysis Save
- Augmenting integrity and scalability in mobile payment applications using blockchain Save
- Augmenting integrity and scalability in mobile payment applications using blockchain Save
- A 3d convolutional neural network for bacterial image classification Save
- Internet of things based intelligent accident avoidance system for adverse weather and road conditions Save
- IoT Enabled Technology in Secured Healthcare: Applications, Challenges and Future Directions Save
- Recognition of hand gesture image using deep convolutional neural network Save
- System and Method for extraction of sweet compunds from natural stevia Save
- A statistical approach for high order epistasis interaction detection for prediction of diabetic macular edema Save
- Analysis and synthesis of energy efficient techniques in cloud computing Save