vsaragad@gitam.edu
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Dr SVG Reddy is working as Associate Professor, department of CSE, GST, GITAM (Deemed to be University). I have completed my MTech (Computer science and technology) from Andhra University in 2002, PhD from JNTU kakinada in 2020. My research area of interest is machine learning, deep neural networks, bio informatics. I have nearly 21 years of teaching experience. I have worked in various administrative positions like Deputy Director of student affairs, Alumni coordinator, NSS coordinator etc.
Research Publications
- S.V.G.Reddy, K.Thammi Reddy, V. ValliKumari “Optimization of Deep Learning using Various Optimizers, Loss Functions, and Drop out”, International journal of Recent technology and Engineering (IJRTE) Scopus, Volume 7, issue 4S2, pages 448-455, 2018. https://www.ijrte.org/wp-content/uploads/papers/v7i4s2/ES2099017518.pdf
- S.V.G.Reddy, K.Thammi Reddy, V. ValliKumari, Syed Hussain Basha, “Molecular Docking and Dynamic Simulation Studies evidenced Plausible Immuno Therapeutic Anticancer Property by Withaferin A Targeting Indoleamine 2,3-Dioxygenase”, Journal of Biomolecular Structure & Dynamics(Taylor& Francis) web of science, Scopus, http://dx.doi.org/10.1080/07391102.2015.1004834, 2015, impact factor 2.983. https://www.tandfonline.com/doi/full/10.1080/07391102.2015.1004834
- S.V.G.Reddy, K.Thammi Reddy, V. ValliKumari, “Ligand Based Virtual Screening to Identify Potential Anti Cancer Ligands similar to Withaferin A Targeting Indoleamine 2,3-Dioxygenase”, Biosciences Biotechnology Research Asia, Scopus, Volume 11, Issue 2, Pages 887-893, 2014. https://biotech-asia.org/pdf/vol11no2/BBRAV011I02P887-893.pdf
- S.V.G.Reddy, K.Thammi Reddy, V. Valli Kumari, P Sanjay varma, SVS Nitish kumar gupta “A Recurrent Gini Index based Fuzzy Neural Network”, International journal of Computer sciences and Engineering (IJCSE), Volume 7, issue 4, pages 521-525, 2019. https://www.ijcseonline.org/pub_paper/86-IJCSE-06508-30.pdf
- S.V.G.Reddy, K.Thammi Reddy, V. ValliKumari, “The Computational Analysis of Protein – Ligand Docking with Diverse Genetic Algorithm Parameters”, Emerging ICT for Bridging the Future - Proceedings of the 49th Annual Convention of the Computer Society of India (CSI) Scopus, Volume 1 (Springer AISC series ), p 129-135, 2014. https://link.springer.com/book/10.1007/978-3-319-13728-5
Expertise
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Machine learning
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Deep neural networks
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Bio informatics
