Ms Thangellamudi Anitha Kumari

Jan 2017 to Dec 2021– Assistant professor -Hyderabad Institute of Technology and Management – Gandimissamma, Hyderabad.
Sep 2013 to June 2015-Assistant Professor-Lingayas Institute of Management and Technology-Nunna, Vijayawada
June 2009 to Dec 2010-Associate Lecturer-V.K.R.& V.N.B Polytechnic collage – Gudivada.

Machine Learning, Internet of Things, Lightweight ML Concepts, drift detection, Intrusion detection system, Pruning approaches .
Online Machine learning, IoT data streams, Ensemble learning.

OASIS: Online adaptive ensembles for drift adaptation on evolving IoT data streams. Anithakumari, T., & Mishra, S. Internet of Things, 31, 101545 (2025).
LIRAD: lightweighttree-based approaches on resource constrained IoT devices for attack detection. Mishra, S., Anithakumari, T., Sahay, R., Shrivastava, R. K., Mohanty, S. N., & Shahid, A. H. Cluster Computing, 28(2), 1-23 (2025).
Tachyon: Enhancing stacked models using Bayesian optimization for intrusion detection using different sampling approaches. Kumari, T. A., and Mishra, S. Egyptian Informatics Journal, 27, 100520 doi:10.1016/j.eij.2024.10052(2024).
Automated Detection of Water Quality in Smart Cities Using Various
Sampling Techniques. Mishra, S., Anithakumari, T., & Jain, O. In Sustainable Farming through Machine Learning (pp. 236-266). CRC Press. (2024).
Optimized Tree-based Ensembles for Intrusion Detection in Internet of Things. Kumari, T. A., and Mishra, S. In 2023 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS) (pp. 1-6). IEEE. doi:10.1109/ANTS59832.2023.10469257(2023)

E-mail id: anithakumari.t@srmap.edu.in