Dr. Sahana Prabhu Shankar
MS Ramaiah University of Applied Sciences, M S Ramaiah Institute of Technology, Visvesvaraya Technological University, Unisys
About
Sahana.P.Shankar completed her B.E in Information Science and Engineering and MTech in Software Engineering from Ramaiah Institute of Technology, Bangalore. She is a third rank holder in B.E and a first rank holder with gold medal in MTech. She has worked with Unisys as Associate Engineer in the Software Product Testing domain for three years. She holds a US Patent bearing patent number US20160034382. She has worked with RIT as a Teaching Assistant for 6 months under the TEQIP-II scholarship program. She has published papers in various national and international journals and conferences. She has also authored several book chapters. She is an ISTQB certified software tester. She is currently working with Ramaiah University of Applied Sciences, Bangalore as an Assistant Professor in the Department of Computer Science and Engineering.
Employment
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MS Ramaiah University of Applied Sciences ASSISTANT PROFESSOR2018 - Present
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M S Ramaiah Institute of Technology TEACHING ASSISTANT2016 - 2017
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Unisys Associate Engineer2011 - 2014
Education
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Visvesvaraya Technological University PhD2021 - 2026
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M S Ramaiah Institute of Technology M.TECH2015 - 2017
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M S Ramaiah Institute of Technology B.E2007 - 2011
Projects & Funding
Projects & funding information is unavailable.
Publications (42)
- Quantum Computing for Business Applications Save
- Evolution of Data Security in E-Commerce Save
- Zenify.me—Your AI Companion for a Happier, Healthier You Save
- Enabling Autonomous and Intelligent Device Functionality Through IoT Integration Save
- AI in 6G Network Security and Management Save
- Analysis of Bio Inspired Based Hybrid Learning Model for Software Defect Prediction Save
- Intelligent Techniques for Detection and Diagnosis of Neurodegenerative Diseases Save
- A Comprehensive Study of Cyber Threats in the Banking Industry Save
- Artificial Intelligence for Defence Save
- Software Defect Predictor and Classifier Tool Using Machine Learning Techniques Save