Delshi Howsalya Devi

R. Delshi Howsalya Devi received her BE (distinction) in Computer Science and Engineering from the Madurai Kamaraj University, Madurai, in 2004, ME in Computer Science and Engineering from the Anna University, Chennai, in 2008 and PhD in Information and Communication Engineering from the Anna University Chennai in 2018. She is a Professor and Head at the Department of Artificial Intelligence and Data Science, Karpaga Vinayaga College of Engineering & Technology, Tamil Nadu. She has 16 years of teaching experience and has approximately 30 conference publications and 23 international journal publications. She has published 18 National Patents and 1 International patent. She reviewed a Research project proposal which was assigned from Sapienza university, Rome. She is guided number M.Tech scholars. She is associated with IEEE access Journal, Journal of Supercomputing, Springer, Journal of Ambient Intelligence and Humanized Computing, Pattern Recognition Letters Springer, Acta Scientific Pharmacology and Reviewed papers for 2020 3rd International Conference on Applied Mathematics, Modeling Shanghai and ICACECS-20. She was acted as a technical committee member in many reputed conferences so far. She was received a National Award titled “Young Educator and Research Scholar” by National Foundation for Entrepreneurship Development, and she was acted as panel judge in hackathon. Her research interests include Data mining, Outlier mining and big data analytics. Research Interest’s Research Interests of Prof. Dr. R.Delshi Howsalya Devi are Data Mining, Image Processing, Outlier Mining, Cloud Computing, Big data Analytics and Biomedical data analysis.

Publications

Cloud-Based Data Analytics for Autonomous Vehicle Performance Using Neural Networks
Cloud-Based Data Analytics for Autonomous Vehicle Performance Using Neural Networks
Delshi Howsalya Devi, P. Santhosh Kumar, M. Aruna, S. Sharmila. © 2024. 23 pages.
By utilizing powerful analytical tools and remote computing capabilities, cloud-based data analytics significantly improve the operational efficiency of autonomous cars. Under...
Depression and Mood Monitoring for Pregnant Women Using IoT-Based Wearables
Depression and Mood Monitoring for Pregnant Women Using IoT-Based Wearables
Delshi Howsalya Devi, R. Naresh, C. N. S. Vinoth Kumar, S. Senthilkumar, Asis Jovin. © 2023. 24 pages.
Depression is regarded as a mental disease by the World Health Organization (WHO). In the last ten years, mental illnesses, including stress and depression, have increased in...