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| S.Vasavi |
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| Velagapudi Ramakrishna Siddhartha Engineering College, Vijayawada |
| Regular Member |
| Personal Web Site: https://www.vrsiddhartha.ac.in/cse/wp-content/uploads/2020/06/3.-Dr.-S.-Vasavi.pdf |
| Main page: http://www.mirlabs.net/global/index.php?c=main&a=person&id=1142 |
| Short Biography |
Dr S.Vasavi is working as a Professor in CSE Department with 26 years of experience. She successfully completed two funded projects. One ongoing funded project from ISRO. Completed collaborative research work with Professors of Illinois state university, National University of Singapore, Michigan State University, University of Baja California. Completed collaborative research work with scientists of R&D organizations such as ADRIN, NRSC, SAC, APSDMA, INCOIS, APSAC. She published 91 papers in various SCI/Scopus/Google Scholar Indexed conferences and journals. She published four patents. She received travel grant to USA and Thailand. She is the Keynote speaker for IEEE ICOIP conducted at Singapore in 2017. She visited reputed universities at U.S.A, Canada, Singapore, Malaysia and Thailand. Received Best Paper award at IEEE IEMCON 2018 held at University of British Columbia, Canada in 2018. She is a Senior Member of IEEE, Life Member of CSI, Member Machine Intelligence Research Labs, Washington , USA. Her Research Areas are Bigdata analytics and Computer Vision. She is a Reviewer for Scopus Indexed journals and conferences [Springer, IEEE, Elsevier]. Received Best Teacher Award, Vishitta Mahila Award, Conferred Outstanding Women in Engineering Award, Good standing Through from IEEE, Best Faculty in Rural Institution award. |
| List of top 5 publications in the last 5 years |
1. Gender prediction using ensemble based wide residual network from surveillance video Microsystem technologies Springer ,2022 10.1007/s00542-022-05388-4, pp:1-11 2. Prediction of Temperature Anomaly in Indian Ocean Based on Autoregressive Long Short-Term Memory Neural Network, Neural Computing and Applications, 10.1007/s00521-021-06878-8, pp:1-9 3. Invariant Feature based Darknet Architecture for Moving Object classification , IEEE Sensors in Machine Vision of Automated Systems, Volume: 21, Issue: 10, 2021 , Page(s): 11417 - 11426 ,IF:3.3 SCI E, DOI: 10.1109/JSEN.2020.3007883
4. Medical Assistive System For Automatic Identification Of Prescribed Medicines By Visually Challenged Using Invariant Feature Extraction, Journal of Ambient Intelligence and Humanized Computing (SCI E), 2019, ISSN 1868-5137,9th September 2019, 5. Extracting hidden patterns within road accident data using machine learning techniques Vasavi, S. 2018 Information and Communication Technology , Advances in Intelligent Systems and Computing, Springer, Pp:13-22, ISBN 978-981-10-5508-9 13-10-2017 |
| List of top 5 academic activities during the last 5 years |
Technical Committee member for various international conferences (IEEE, Springer, Elsevier), Resource person for various faculty development workshops, Guest lectures in the area of Data mining and Image Classification, Panel member for adjudicating PhD (computers) thesis for reputed universities in India, Member Research board for good number of Journals, Research Paper Reviewer for Scopus indexed journals s Member of board of studies for Autonomous Colleges, OBE based curriculum framework development for under graduation and post graduation level
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