Rahul Ratnakumar

Rahul Ratnakumar received his Bachelor’s degree from College of Engineering Trivandrum, University of Kerala in Electrical and Electronics Engineering in 2009. He obtained Master of Engineering degree from Birla Institute of Technology and Science (BITS), Pilani with a specialization in Microelectronics in 2012. He worked on the project- Interface circuit design for a MEMS Vibratory Gyroscope, with the Analog and Mixed Signal Design group of CSIR-CEERI Pilani, India. He is completed his doctoral work in Malaviya National Institute of Technology (MNIT), Jaipur, India in the topic of VLSI implementation of Clustering Algorithms. He has a post-doctoral fellowship from the Department of Systems and Computer Engineering at Carleton University, Canada in the field of Autonomous Vehicles from Jan to June 2021. He is currently working as an Assistant Professor in the Department of Electronics and Communication Engg., Manipal Institute of Technology (MIT), Manipal Academy of Higher Education (MAHE), Manipal, Karnataka, India. His field of Interest are Digital VLSI architecture, Bio-inspired systems, Image Processing, System on Chip Design, Soft computing, Machine and Deep Learning.

Publications

AI and Blockchain Optimization Techniques in Aerospace Engineering
AI and Blockchain Optimization Techniques in Aerospace Engineering
U. Vignesh, Rahul Ratnakumar, Abdulkareem Sh. Mahdi Al-Obaidi. © 2024. 255 pages.
The amalgamation of artificial intelligence (AI), optimization techniques, and blockchain is revolutionizing how to conceptualize, design, and operate aerospace systems. While...
Optimization Techniques for Influenza Prediction in Biological Expert Systems
Optimization Techniques for Influenza Prediction in Biological Expert Systems
U. Vignesh, Rahul Ratnakumar. © 2024. 15 pages.
Currently, the biggest challenge in the world is the detection of viral infection in various diseases, as par to the rapid spread of the disease. According to recent statistics...
An Empirical Review on Clustering Algorithms for Image Segmentation of Satellite Images
An Empirical Review on Clustering Algorithms for Image Segmentation of Satellite Images
U. Vignesh, Rahul Ratnakumar. © 2024. 20 pages.
Different image segmentation algorithms are used for real-time applications like autonomous vehicles, robotics, disaster management, etc. Because of the computational complexity...
Machine Learning-Based Environmental, Social, and Scientific Studies Using Satellite Images: A Case Series
Machine Learning-Based Environmental, Social, and Scientific Studies Using Satellite Images: A Case Series
Rahul Ratnakumar, U. Vignesh. © 2024. 15 pages.
Satellite images of the entire globe or any given location can be procured quickly with good resolution from any part of the world using thousands of artificial satellites...
A High-Speed Architecture for Lung Cancer Diagnosis
A High-Speed Architecture for Lung Cancer Diagnosis
Rahul Ratnakumar, Shilpa K., Satyasai Jagannath Nanda. © 2023. 27 pages.
Here the authors propose a simplified technique and its architecture for blind segmentation of histopathological images of lung cancer, combining the K-Means and Histogram...