Ramana Rao

Ramana RaoM. V. Ramana Rao received B.Tech in Electrical Engineering from Regional Engineering College, Warangal and M. Tech in Computer Science & Engineering from JNTU, Hyderabad. He obtained his Ph.D in Computer Science and Engineering from Osmania University, Hyderabad, Telangana in 2021. He has 28 years of Industrial and research experience in Hindustan Aeronautics Ltd at different capacities. In his rich Professional career as an Engineer, made significant contributions in diversified functional areas. He has published many research papers in International Journals, Book chapters, International/ National conferences. His Research interests include Wireless Sensor Networks, Social Networking and Artificial Intelligence in Industrial applications. He is a Life member of Professional bodies like Aeronautical Society of India (AeSI), Computer Society of India (CSI) and Fellow of Institution of Engineers (FIE).

Publications

Early Detection of Parkinson's Disease Using Deep Learning: A Convolutional Bi-Directional GRU Approach
Early Detection of Parkinson's Disease Using Deep Learning: A Convolutional Bi-Directional GRU Approach
Dhaya Chinnathambi, Srivel Ravi, Hariharan Dhanasekaran, Viswanathan Dhandapani, Ramana Rao, Saravanan Pandiaraj. © 2024. 13 pages.
Machine learning is an evolving technology, which uses deep learning, a subset of artificial intelligence, harnesses neural networks, mirroring the human brain, for feature...
Enhancing Parkinson's Disease Diagnosis Through Mayfly-Optimized CNN BiGRU Classification: A Performance Evaluation
Enhancing Parkinson's Disease Diagnosis Through Mayfly-Optimized CNN BiGRU Classification: A Performance Evaluation
Hariharan Dhanaskaran, Dhaya Chinnathambi, Srivel Ravi, Viswanathan Dhandapani, M. V. Ramana Rao, Mohammed AbdulMatheen. © 2024. 14 pages.
Neuron degeneration in the human brain causes Parkinson's disease (PD). The technique employed for detecting early PD is based on a parametric analysis of acoustic sounds....
Mobile Geo-Fencing Triggers for Alerting Entries Into COVID-19 Containment Zones Using IoT
Mobile Geo-Fencing Triggers for Alerting Entries Into COVID-19 Containment Zones Using IoT
M. V. Ramana Rao, Thondepu Adilakshmi, M. Gokul Venkatesh, Jothikumar R. © 2021. 11 pages.
In a thickly populated nation like India, it is hard to forecast community transmission of COVID-19. Hence, a number of containment zones had been recognized all over the country...