Dhivya S

Lecturer
Department of Computer Science and Engineering

Email

Educational Qualifications

  • Working towards submitting her PhD thesis at Anna University
  • M.Tech from Sri Sivasubramaniya Nadar College of Engineering
  • B.Tech in Information Technology from SRM University

Area of Research

Development of efficient algorithms for Computer Aided Diagnosis systems (CADs) enabling better tumor diagnosis

Bio

Dhivya S is a Lecturer in the Department of Computer Science and Engineering, at Shiv Nadar University Chennai. She is working towards submitting her PhD thesis (Anna University). Her research work involves the development of efficient algorithms for Computer Aided Diagnosis systems (CADs) enabling a better tumor diagnosis. She graduated with her B.Tech in Information Technology from SRM University in 2008. She has an industry experience of five years and have served Tata Consultancy Services and Corpus between 2008 to 2013. She joined her M.Tech programme at Sri Sivasubramaniya Nadar College of Engineering and graduated in 2015. During her Ph.D programme, she is a recipient of the Junior Research Fellowship and have also worked as a Teaching Assistant for three years

Work Experience

Five years of industry experience, serving Tata Consultancy Services and Corpus between 2008 to 2013

Publications

  1. Dhivya, S., Mohanavalli, S., Kavitha, S & Sripriya N Automated Detection and Segmentation of Mammogram Images using Deep Learning Techniques published in Indian Journal of Natural Sciences, Vol 14 / ISSUE 28 / JUN 2023.
  2. Dhivya, S., Mohanavalli, S., & Kavitha, S. Automated carcinoma classification using efficient nuclei-based patch selection and deep learning techniques. Journal of Intelligent & Fuzzy Systems, Volume 45, No 1, 521-535
  3. Uthayan, K. R., Mohanavalli, S., Nivetha, B., & Dhivya, S. (2021). Optimized feature selection for e<u>Underline</u>arly cancer detection. Genetika, 53(3), 1297-1309.
  4. Dhivya, S., Anjali, R. J., Mohanavalli, S., Sripriya, N., & Srinivasan, K. (2020, September). Investigations of Shallow and Deep Learning Algorithms for Tumor Detection. In 2020 IEEE-HYDCON (pp. 1-5). IEEE.
  5. Dhivya, S., Mohanavalli, S., Karthika, S., Shivani, S., & Mageswari, R. (2020, September). GAN based data augmentation for enhanced tumor classification. In 2020 4th International Conference on Computer, Communication and Signal Processing (ICCCSP) (pp. 1-5). IEEE.
  6. Sundharakumar, K. B., Dhivya, S., Mohanavalli, S., & Chander, R. V. (2015). Cloud based fuzzy healthcare system. Procedia computer science, 50, 143-148.