Rodda Sireesha

Professor

Department of Computer Science Engineering

GITAM School of Technology

Visakhapatnam

Education

Ph. D.

srodda@gitam.edu

Social Media

Google Scholar Scopus

Scopus

ORCiD

Dr. Sireesha Rodda, Professor at Dept of Computer Science and Engineering, has 21+ years of teaching and research experience. She has been awarded as Senior Member at IEEE and also is a recipient of CSI Active Participation Award. She has authored 50+ papers in publications indexed in SCI/ESCI/WoS/SCOPUS. She has successfully executed SERB sponsored research project and is currently working on a consultancy project. 07 research scholars have been awarded PhD under her supervision.

Research Publications

A Roughset based Ensemble Framework for Network Intrusion Detection System, International Journal of Rough Sets and Data Analysis (IJRSDA) 5(3), DOI: 10.4018/IJRSDA.2018070105
Localization of sensors by base station in wireless sensor Networks, Journal of Scientific and Industrial Research, https://nopr.niscpr.res.in/bitstream/123456789/43545/1/JSIR%2077(2)%2083-86.pdf
Penguin rider optimization algorithm-based deep recurrent neural network for sentiment classification of political twitter data, International Journal of Web Services Research (IJWSR) 19 (1), 1-25, DOI: 10.4018/IJWSR.299019
Giraph Dynamic sized Structure recurrent Subgraph generation algorithm for Frequent Subgraph Mining, 2022 IEEE International Conference on Current Development in Engineering and Technology (CCET), DOI: 10.1109/CCET56606.2022.10080297
Prolonging the network life in wireless sensor networks using refined region of interest, International Journal of Advanced Intelligence Paradigms, Vol. 10, No. 4, https://doi.org/10.1504/IJAIP.2018.092032

Ongoing Research Projects

SERB sponsored Network Intrusion Detection System for Sensitive Data Status-Completed Period:2015-18 Sanctioned Amount Rs. 33.01Lacs
Consultancy Project- Developing Learning Content for SmartGen Technologies Status-Ongoing Period 2023-25 Sanctioned Amount-Rs. 45,78,400

Expertise

Machine Learning, Deep Learning, Medical Imaging