Chandrakantha T S is a seasoned professional with an extensive background in the field of Electronics, Computer Science and Artificial Intelligence. Currently serving as a Lecturer in the Department of PG Studies and Research in Electronics at Kuvempu University since 2019, Chandrakantha brings over Seven years of experience in academia.

In terms of academic contributions, Chandrakantha has made significant contributions to the field through various publications in refereed international journals and conference proceedings. Some notable publications include research on automated identification and localization of brain tumors in MRI, improved breast cancer classification using wavelet-based feature extraction and ensemble learning, Lung Tumor Classification using Hybrid Deep Learning and Segmentation by Fuzzy C Means.

In addition to publications, Chandrakantha has actively participated in international/national conferences, presenting research on topics such as brain tumor segmentation and classification using artificial intelligence, and a survey on artificial intelligence-based lung tumor segmentation and classification.

Chandrakantha's research extends to various applications of artificial intelligence in medical imaging, including lung tumor classification using hybrid deep learning and segmentation by Fuzzy C Means. Notable conferences and proceedings also cover topics such as comparative analysis of various filters for denoising medical images, denoising techniques on chest X-ray images, and implementations of wireless long-range hand gesture recognition controlled robots.

Chandrakantha T S is dedicated to the advancement of knowledge in the field of Electronics and Artificial Intelligence, with a focus on practical applications in medical imaging and innovative trends in electronics and communication. The depth and breadth of experience make Chandrakantha a valuable asset in both academic and research settings.