Manikandan Ramachandran

Manikandan Ramachandran obtained his Ph.D. in VLSI Physical design from SASTRA Deemed University, India. He received his Bachelor of Engineering in Computer Science from Bharathidasan University and Master of Technology in VLSI Design from SASTRA Deemed University. He possesses three decades of academic and 15 years of research experience in the field of Computer Science and Engineering. He has more than 175 research contributions to his credit, which are published in referred and indexed journals, book chapters and conferences. He is presently working as Assistant Professor at SASTRA Deemed University for the last 15 years. He has delivered many lectures and has attended and presented in International Conferences in India and Abroad. He has edited more than 100 research articles to his credit, which includes his editorial experience across refereed and indexed journals, conferences and book chapters at national and international levels. His contemporary research interests include Big Data, Data Analytics, VLSI Design, IoT and Health Care Applications.

Publications

Lung Cancer Detection Using Explainable Artificial Intelligence in Medical Diagnosis
Lung Cancer Detection Using Explainable Artificial Intelligence in Medical Diagnosis
M. Sundarrajan, Senthil Perumal, S. Sasikala, Manikandan Ramachandran, N. Pradeep. © 2024. 19 pages.
AI (artificial intelligence), IoT (internet of things), and CC (cloud computing) have all lately gained popularity in the healthcare industry, allowing radiologists to make...
Utilization of Transfer Learning Model in Detecting COVID-19 Cases From Chest X-Ray Images
Utilization of Transfer Learning Model in Detecting COVID-19 Cases From Chest X-Ray Images
Malathy Jawahar, L. Jani Anbarasi, Prassanna Jayachandran, Manikandan Ramachandran, Fadi Al-Turjman. © 2022. 11 pages.
Diagnosis of COVID-19 pneumonia using patients’ chest X-Ray images is new but yet important task in the field of medicine. Researchers from different parts of the globe have...
Sudden Cardiac Arrest Detection by Feature Learning and Classification Using Deep Learning Architecture
Sudden Cardiac Arrest Detection by Feature Learning and Classification Using Deep Learning Architecture
Veeralakshmi Ponnuramu, Vijayaraj J., Satheesh Kumar B., Manikandan Ramachandran. © 2022. 22 pages.
Ventricular tachycardia (VT) and ventricular fibrillation (VF) are known ventricular cardiac arrhythmias (VCA) that promote fast defibrillation treatment for the survival of...
Designing Machine Learning-Based Variable-Order Bayesian Network in Predicting Sudden Cardiac Arrest and Death
Designing Machine Learning-Based Variable-Order Bayesian Network in Predicting Sudden Cardiac Arrest and Death
Abolfazl Mehbodniya, Julian L. Webber, Ravi Kumar, Manikandan Ramachandran. © 2022. 25 pages.
Recent surveys suggest that the majority of the world's population is unconcerned with their health. Aside from a hectic lifestyle, research reveals that stress is also a...
Utilization of Artificial Intelligence-Based Wearable Sensors in Deep Residual Network for Detecting Heart Disease
Utilization of Artificial Intelligence-Based Wearable Sensors in Deep Residual Network for Detecting Heart Disease
Sulaima Lebbe Abdul Haleem, Rethik Rham P., Manikandan N., Manikandan Ramachandran. © 2022. 27 pages.
Recently, there has been growing attention to the advances in the areas of electronic and biomedical engineering and the great applications that these technologies can offer...