Dr. J. Anitha Ruth
Associate Professor
Department of Computer Science & Applications
Contact Information
Email : anithaj@srmist.edu.in
- Ph.D. Computer Science and Engineering, SRM Institute of Science and Technology (formerly known as SRM University) (2019)
- M.S. Computer Science and Engineering, SRM Institute of Science and Technology (formerly known as SRM University) (2011)
- M.Phil. Computer Science, Mother Teresa Women’s University, 2004
- M.C.A. Computer Science and Applications, University of Madras, 1998
- B.Sc. Physics, University of Madras, 1995
- Red Hat Certified System Administrator in Red Hat Open Stack, 2015
- Udemy Certification: Python for Data Science and Machine Learning Boot Camp, May 2020
- Udemy Certification: Deep Learning A-Z Hands-on Artificial Neural Networks, August 2020
- ATAL Certification in Neural Networks and Deep Learning, November 2020
- ATAL Certification in Data Science and Machine Learning, November 2020
- ANN
- Computational Neuroscience
- Machine Learning
- Cloud Security
- J. AnithaRuth, Dr. H. Srimathi, and A. Meenakshi, “Steganography-Based Secure Data Storage and Intrusion Detection for Cloud Computing Using Signcryption and Artificial Neural Networks,” in Research Journal of Applied Sciences, Engineering and Technology 13(5): 354–364, DOI:10.19026/rjaset.13.2953, ISSN: 2040–7459; e-ISSN: 2040–7467.
- J. Anitha Ruth, Dr. H. Srimathi, and A. Meenakshi, “Security Issues in Open Stack (Swift Storage),” Advances in Natural and Applied Sciences, ISSN: 1995-0772, EISSN: 1998-1090.
- J. Anitha Ruth, Dr. H. Srimathi, and A. Meenakshi, “Secure data storage and intrusion detection in the cloud using MANN and dual encryption through various attacks,” in the IET Information Security ISSN 1751-8709, doi:10.1049/iet_ifs.2018.529
- 1. Pavithra; 2. Dr. (Mrs.) M. Pushpa; 3. Dr. (Mrs.) J. Anitha Ruth, ”RWH-Assessing Optimum Cistern Size Based on k-Means and Crowd Computing Approach.” Published in: 2020 International Conference on Smart Electronics and Communication (ICOSEC).DOI: 10.1109/ICOSEC49089.2020.9215238. Date Added to IEEE Xplore: October 7, 2020.
- Book chapter title: “Apple leaf disease identification based on optimised deep neural J. Anitha Ruth, R. Uma, and A. Meenakshi, “Handbook of Research on Deep Learning-Based Image Analysis Under Constrained and Unconstrained Environments, Projected Release Date: December 2020, Copyright 2021, Pages 400. ISSBN:9781799866909, ISBN:101799866904, EISBN:13:9781799866923, DOI:10.4018/978-1-7998-6690-9
- Book Chapter Reviewer for IGI Global Publishers for the title “Deep Learning-Based Image Analysis Under Constrained and Unconstrained Environments”
- Reviewer for IEEE Accsess-2020-52629 for the paper title “Multi-Label Classification of Fundus Images with Efficient Net”
- International Conference on Emerging Enhancements in Engineering Technology, ICEEET16, 2016
- International Conference on Smart Electronics and Communication 2020 (ICOSEC 2020)
- A two-day online national workshop on “Deep Neural Network and its Applications in Text and Image (DNNATI) ”organised by the School of Computer Science and Engineering, Vellore Institute of Technology (VIT), Vellore, was held on January 11 and 12, 2021.
- AICTE sponsored STTP, ” Writing and publishing high-impact research publications and scientific documents.”
- I attended a two-week faculty development programme on data science and exploratory data analysis with R and Python. June 2019
- Online AICTE-recognised faculty development programme on data science using Python, May 2020
- I participated in the online AICTE-recognised faculty development programme on data science using Python from September 14 to September 18 (one ek). Conducted by AICTE