Archana Suhas Vaidya
R H Sapat College of Engineering Management Studies and Research, Savitribai Phule Pune University, Veermata Jijabai Technological Institute
0000-0002-6213-6216
About
Archana S. Vaidya received her Masters’ Degree in Computer Engineering from V. J. T. I.,Mumbai University (INDIA) in 2010 & Bachelors’ Degree in Computer Engineering from Walchand College Of Engineering Sangli Shivaji University (INDIA) in 2002 . Her area of interests are Data analytics, high performance Computing,data structures and machine learning.
She has teaching experience of 19 years .She is currently research scholar at " MET's Institute of Engineering , Nashik Affiliated to Savitribai Phule Pune University". She was working as an Assistant Professor in the Computer Engineering Department at “GES’s R. H. Sapat College Of Engineering Management Studies & Research Nashik Affiliated to Savitribai Phule Pune University, ,Nasik (INDIA)”. She is Post Graduate Coordinator for Master of Computer Engineering Department.
Prof. Archana Vaidya is life member of ISTE (Indian Society Of Technical Education) and member of CSI(Computer Society Of India). She has published 03 papers in scopus indexed Journals, 06 papers in National Conferences & 30 papers in International Conferences & Journals.
Employment
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R H Sapat College of Engineering Management Studies and Research Professor2009 - Present
Education
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Savitribai Phule Pune University PhD Computer Engineering2018 - 2023
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Veermata Jijabai Technological Institute M. Tech.2008 - 2010
Projects & Funding
Projects & funding information is unavailable.
Publications (20)
- Automated Stroke Severity Assessment Using EEG and Deep Learning Approaches Save
- Predicting DNA Sequence Similarity Across Species Using Machine Learning: a K-mer Based Approach Save
- Brain Tumor Detection from MRI Images Using YOLOv8 Deep Learning Model Save
- Automated Brain Tumor Classification on Brain MRI Images uses CNN Feature Extraction and Machine Learning Techniques Save
- A Parallel Dynamic Weighted Ensemble Classifier for High Dimensional Cancer Datasets with Horizontal Partitioning Save
- Multilingual Transformer Contextual Embedding Model for Political Tweets Analysis Save
- Comparative Analysis of Contextual AI for Political Tweets Save
- RSKD Ensemble Classifier with Stable Ensemble Feature Selection for High Dimensional Low Sample Size Cancer Datasets Save
- Performance analysis of hybrid bio-inspired algorithms for classifying brain tumors in imbalanced magnetic resonance imaging datasets Save
- Ensemble Feature Subset Selection: Integration of Symmetric Uncertainty and Chi-Square techniques with RReliefF Save