R. Anuradha

Anuradha Radhakrishnan has 19 years of Experience in Teaching, currently working as an Associate Professor in the Department of Computer Science and Engineering at Sri Ramakrishna Engineering College. Have completed Ph.D. in the Research Area Data Mining (Fuzzy logic) and has a Master’s degree in Computer Science Engineering and a Bachelor’s degree in Computer Hardware and Software Engineering. SPOC of the Artificial Intelligence-Research Group and guided projects in the areas of Artificial Intelligence, Machine Learning, Cryptography and Data Analytics. Life member of ISTE, IEANG, & CSI and published Research papers in Scopus indexed Journals and Conferences. Awarded Silver Partner faculty under Inspire -The Campus Connect, Faculty Partnership Model, Infosys. Worked on consultancy projects with G.E Healthcare & LTTS (L&T technology) in the domain of medical image processing and deep learning. Convener of Artificial Intelligence Research Group at SREC and Lead person representing SREC at Leadingindia.ai, a nationwide initiative for artificial intelligence skilling and research-Bennett University, Noida. Currently working on TNSCST Funded project that involves Women Health with Brain Computer Interface and Yoga therapy.

Publications

Enhanced YOLO Algorithm for Robust Object Detection in Challenging Nighttime and Blurry, Low Vision
Enhanced YOLO Algorithm for Robust Object Detection in Challenging Nighttime and Blurry, Low Vision
S. Prince Sahaya Brighty, R. Anuradha, M. Brindha. © 2024. 16 pages.
In today's computer vision systems, the spread of object detection has been booming. Object detection in challenging conditions such as low-illumination or misty nights...