Faculty & Staff
Contact
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Ms. Sahana P Shankar
Assistant Professor
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School/College
Faculty of Engineering and Technology
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Department
Department of Computer Science and Engineering
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 M.Tech. She has worked with Unisys as an Associate Engineer for three years. She holds a US Patent bearing patent number US20160034382. She has worked with RIT as a Teaching Assistant under the TEQIP-II scholarship program. She has published papers in various international journals and conferences. She has also authored several book chapters. She is an ISTQB certified software tester. She is pursuing her Ph.D. from VTU. She is currently working with Ramaiah University of Applied Sciences, Bangalore as an Assistant Professor in the Department of Computer Science and Engineering since 2018.
Qualifications
- Ph.D. with Specialization
Ramaiah Institute of Technology (VTU)- Computer Science and Engineering,Pursuing since 2022
- P.G. with Specialization
Ramaiah Institute of Technology (Software Engineering),2017
- U.G. with Specialization
Ramaiah Institute of Technology (Information Science and Engineering),2011
Experience
Total Years of Experience9 Years 6 Months
Academic Experience
- Teaching Assistant, Ramaiah Institute of Technology (1 year) Assistant Professor, RUAS (Since 2018)
Industry Experience
- Unisys, Associate Engineer (3 years)
- Software Engineering, Defect Prediction, Machine Learning, Artificial Intelligence, Software Quality.
- Shankar, S.P., Supriya, M.S., Varadam, D., Kumar, M., Gupta, H. and Saha, R., 2023. A Comprehensive Study on Algorithms and Applications of Artificial Intelligence in Diagnosis and Prognosis: AI for Healthcare. In Digital Twins and Healthcare: Trends, Techniques, and Challenges (pp. 35-54). IGI Global.(SCOPUS INDEXED)
- Shankar, S., Varadam, D., Agrawal, H. and E, N. 2022. Blockchain for IoT and Big Data Applications: A Comprehensive Survey on Security Issues. In: Niranjanamurthy, M., Peng, S., Naresh, E., Jayasimha, S. and Balas, V. ed. Advances in Industry 4.0: Concepts and Applications. Berlin, Boston: De Gruyter, pp. 65-86. https://doi.org/10.1515/9783110725490-004
- Shankar, S.P., Agrawal, H. and Naresh, E., 2022. A Survey on Different Approaches to Automating the Design Phase in the Software Development Life Cycle. In Research Anthology on Agile Software, Software Development, and Testing (pp. 542-564). IGI Global. (SCOPUS INDEXED)
- Shankar, S.P., Supriya, M.S. and Naresh, E., 2022. Application of Design Thinking Methodology to the Various Phases of the Software Development Life Cycle. In Research Anthology on Agile Software, Software Development, and Testing (pp. 687-708). IGI Global.(SCOPUS INDEXED)
- Shankar, S.P., Agrawal, H. and Naresh, E., 2020. A Survey on Different Approaches to Automating the Design Phase in the Software Development Life Cycle. In Handbook of Research on Engineering Innovations and Technology Management in Organizations (pp. 350-372). IGI Global (SCOPUS INDEXED).
- Ananthaswamy, P. and Shankar, S.P., 2020. Knowledge Management in Academics: A New Perspective. In Handbook of Research on Engineering Innovations and Technology Management in Organizations (pp. 373-394). IGI Global. (SCOPUS INDEXED)
- Shankar, S.P., Supriya, M.S. and Naresh, E., 2020. Application of Design Thinking Methodology to the Various Phases of the Software Development Life Cycle. In Handbook of Research on Engineering Innovations and Technology Management in Organizations (pp. 95-416). IGI Global (SCOPUS INDEXED)
- Naresh E., Vijaya Kumar B.P., Ayesha, Shankar S.P. (2020) Impact of Machine Learning in Bioinformatics Research. In: Srinivasa K., Siddesh G., Manisekhar S. (eds) Statistical Modelling and Machine Learning Principles for Bioinformatics Techniques, Tools, and Applications. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-15-2445-5_4(SCOPUS INDEXED)
- M.Tech University Rank Holder-I Rank and Gold Medalist, Ramaiah Institute of technology, Bangalore, 2017.
- B.E. University Rank Holder-III Rank, Ramaiah Institute of technology, Bangalore, 2011.
- Won 9th place in Karnataka State Level Yoga Championship conducted by Karnataka Yoga Association held during August 2013.
- Won 3rd place in 11th Open South Indian Yogasana Championship - 2013 conducted by SGS International Yoga Foundation College and Research Center.
- Awarded ‘Certificate of Profession’ for completing Foundation Level Certificate in Software Testing by Indian Testing Board-ISTQB on 24th December 2011.
- Awarded ‘Certificate of Profession’ for completing Foundation Level Certificate in Software Testing by Indian Testing Board-ISTQB on 24th December 2011.
- Awarded ‘Certificate of Profession’ for completing Foundation Level Certificate in Software Testing by Indian Testing Board-ISTQB on 24th December 2011.
- S. M S, S. P. Shankar, S. S. Mohan Reddy, G. R, S. S and S. S. R, "Classification of Ventricular Arrhythmia using Machine Learning and Deep Learning Techniques," 2022 4th International Conference on Circuits, Control, Communication and Computing (I4C), Bangalore, India, 2022, pp. 36-41, doi: 10.1109/I4C57141.2022.10057825. IEEE
- S. A. K, V. Gururaj, S. P. Shankar, S. M. S and A. Bharadwaj, "Electrocardiogram based cardiovascular disease detection with Ensemble Learning Classifier," 2022 4th International Conference on Circuits, Control, Communication and Computing (I4C), Bangalore, India, 2022, pp. 48-53, doi: 10.1109/I4C57141.2022.10057719. IEEE
- S. M. S, S. P. Shankar, H. J. B. J, L. L. Narayana and N. Gumalla, "Car Crash Detection System using Machine Learning and Deep Learning Algorithm," 2022 IEEE International Conference on Data Science and Information System (ICDSIS), 2022, pp. 1-6, doi: 10.1109/ICDSIS55133.2022.9915889.IEEE
- S. A. K, V. Gururaj, K. R. Umadi, M. Kumar, S. P. Shankar and D. Varadam, "Comprehensive Survey of different Machine Learning Algorithms used for Software Defect Prediction," 2022 International Conference on Decision Aid Sciences and Applications (DASA), 2022, pp. 425-430, doi: 10.1109/DASA54658.2022.9764982. IEEE
- GN, N.K., Jeevith, R., Nukala, S.S., Kumar, M., Shankar, S.P. and Kandarp, S., 2021, October. Development of Leftover food management system using efficient hunger search techniques. In 2021 IEEE Mysore Sub Section International Conference (MysuruCon) (pp. 312-321). IEEE.
- Nainan, N.A., Jeevika, H., Jalan, R., Karthik, V.C. and Shankar, S.P., 2021, October. Real Time Face Mask Detection Using MobileNetV2 and InceptionV3 Models. In 2021 IEEE Mysore Sub Section International Conference (MysuruCon) (pp. 341-345). IEEE.
- Jacob, R.J., Kamat, R.J., Sahithya, N.M., John, S.S. and Shankar, S.P., 2021, October. Voting Based Ensemble Classification for Software Defect Prediction. In 2021 IEEE Mysore Sub Section International Conference (MysuruCon) (pp. 358-365). IEEE.
- Nayak, H.M., Naresh, E. and Shankar, S.P., 2020, November. Cognitive Computing in Software evaluation. In 2020 International Conference on Decision Aid Sciences and Application (DASA) (pp. 509-514). IEEE.
- Surana, C.S.R.K., Gupta, D.B. and Shankar, S.P., 2019, May. Intelligent chatbot for requirements elicitation and classification. In 2019 4th International Conference on Recent Trends on Electronics, Information, Communication & Technology (RTEICT) (pp. 866-870). IEEE.
International Journal Papers
- Vamsi, V.V.V.N.S., Shet, S.S., Reddy, S.S.M., Rose, S.S., Shetty, S.R., Sathvika, S., Supriya, M.S. and Shankar, S.P., 2022. Deepfake Detection in Digital Media Forensics. Global Transitions Proceedings.
- Sharadhi, A.K., Gururaj, V., Shankar, S.P., Supriya, M.S. and Chogule, N.S., 2022. Face Mask Recogniser Using Image Processing and Computer Vision Approach. Global Transitions Proceedings.
- Shankar, S.P., Naresh, E. and Agrawal, H., 2022. Optimization of association rules using hybrid data mining technique. Innovations in Systems and Software Engineering, 18(2), pp.251-261. (SCOPUS INDEXED) (Q3)
- Naresh E, Sureshkumar K R, Sahana P Shankar, Santosh Dilipkumar Parakh (2021) Computer Vision in Healthcare Management System Through Mobile Communication. EEO, 20 (5), 2105-2117. doi:10.17051/ilkonline.2021.05.231(SCOPUS INDEXED) (Q3)
- Shankar, S.P., Naresh, E. & Agrawal, H. Optimization of association rules using hybrid data mining technique. Innovations Syst Softw Eng (2021). https://doi.org/10.1007/s11334-021-00387-6 (SCOPUS INDEXED) (Q4)
- Agrawal, H., Shankar, S.P., Pal, A. and Sikarwar, A., A Survey on Existing Trends in Integration of Blockchain Technology into Internet of Things. SASTech-Technical Journal of RUAS
- Varsha, T., Shekar, Y.C. and Shankar, S.P., 2021. Algorithms for customized travel itinerary generation. SASTech-Technical Journal of RUAS, 19(2), pp.5-8.
- Ghana, S., Singh, S., Jalali, A., Badani, V. and Shankar, S.P., 2020. Adaptive Visual Learning Using Augmented Reality and Machine Learning Techniques. Journal of Computational and Theoretical Nanoscience, 17(11), pp.4952-4956. (SCOPUS INDEXED) (Q4)
- Naresh, E., Naik, M.D., Niranjanamurthy, M. and Shankar, S.P., 2020. Functional Testing on Heart Disease Detection Using Multilayer Perceptron Technique. Journal of Computational and Theoretical Nanoscience, 17(9-10), pp.3915-3920. (SCOPUS INDEXED) (Q4)
- Naresh, E ,B.P.Vijay Kumar, Sahana.P.Sankar “Comparative analysis of the various data mining techniques for defect prediction using the NASA MDP datasets for better quality of the software product” in the journal "Advances in Computational Sciences and Technology. (ACST), ISSN 0973-6107Volume 10, Number 7 (2017), pp 2005-2017.
- IEEE Membership.
- ISTE Lifetime Membership.
- Kumar, V. and Shankar, S., Unisys Corp, 2016. Automated regression test case selector and black box test coverage tool for product testing. U.S. Patent 9,411,710.