Sesetti Anuradha

Associate Professor

Department of Computer Science Engineering

GITAM School of Technology

Visakhapatnam

Education

Ph. D.

asesetti@gitam.edu

Social Media

Google Scholar Scopus

Scopus

ORCiD

Dr. Sesetti Anuradha is a dedicated Associate Professor in Computer Science and Engineering at GITAM School of Technology, Visakhapatnam. With 21 years of academic experience, she excels in teaching, mentoring, and exploring new technologies. She holds a Ph.D. from JNTU Kakinada and is actively involved in research, with publications in reputed journals.

Research Publications

Dual Deep Autoencoder Split Generative Adversarial Networks with Gooseneck Barnacle Optimization-Based Prediction of Autism Spectrum Disorder in Facial Images, International Journal of Computational Intelligence and Applications 2025 , DOI: 10.1142/S1469026824500378 EID: 2-s2.0-85217981821 Part of ISSN: 14690268 17575885
Analysing the impact of contextual segments on the overall rating in multi-criteria recommender systems. Journal of Big Data , (2023). https://doi.org/10.1186/s40537-023-00690-y,EID: 2-s2.0-85147506634 Part of ISSN: 21961115
Anuradha, S., Satyanarayana, C.H. (2017). Medical Image Segmentation Based on Beta Mixture Distribution for Effective Identification of Lesions. In: Patnaik, S., Popentiu-Vladicescu, F. (eds) Recent Developments in Intelligent Computing, Communication and Devices. Advances in Intelligent Systems and Computing, vol 555. Springer, Singapore. https://doi.org/10.1007/978-981-10-3779-5_17
S. Anuradha, Ch. Satyanarayana, Y. Srinivas, An Approach for Analyzing Noisy Multiple Sclerosis Images Using Truncated Beta Gaussian Mixture Model , International Journal of Image, Graphics and Signal Processing(IJIGSP), Vol.10, No.8, pp. 54-60, 2018. DOI: 10.5815/ijigsp.2018.08.06
An Efficient Hand Gesture Recognition Framework for Sign Languages using Multiscale Attention-Based EfficientNetB7 and Optimization Techniques,International Journal of Image and Graphics,2025-07-01,DOI: 10.1142/S0219467827500471

Ongoing Research Projects

A survey of metaverse in the educational institutions in and around Visakhapatnam, under Research Seed Grants, ref no. 2023/0238
Monitoring of Agriculture with IOT Smart Irrigation System, under Research Seed Grants,ref no. 2023/0254

Expertise

Machine Learning,Image Processing