Ministry of Education
Mrs. Archana Suhas Vaidya
VIDWAN ID: 458760

Dr Mrs. Archana Suhas Vaidya

Female Doctor of Philosophy
Assistant Professor (Senior Grade) | Computer Engineering
Gokhale Education Society's R. H. Sapat College of Engineering, Management Studies and Research
Maharashtra
Expertise: Computer Science Artificial Intelligence
ORCID 0000-0002-6213-6216 Scopus 57398044000 ResearcherID JCO-3200-2023 Google Scholar gbdLZJQAAAAJ
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13 Publications
0 Projects
4 Scopus Citations
13 CrossRef
22 Years 10 Months Total Experience
Publications
13 Total
Articles
9
Chapters
1
Proceedings
3
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Scopus Scopus
4 Citations
1 h-index
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13 Citations
1 h-index
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Professional Recognition

Active SPOC
2021
SWAYAM -NPTEL

Community & Membership

Computer Society of India Nashik Chapter
Committee Member
Jan 2018
Computer Society of India
Associate Member
Jan 2013
International Association of Engineers (IAENG)
Associate Member
Jan 2014

Personal Details

Doctor of Philosophy
2023
N/A
Master of Technology
2010
N/A
Bachelor of Engineering
2002
N/A
Assistant Professor (Senior Grade)
Jul 2012 – Present
Gokhale Education Society's R. H. Sapat College of Engineering, Management Studies and Research | Computer Engineering
Assistant Professor (Grade-II)
Jan 2005 – Jul 2012
Pravara Rural Education Society's Sir Visvesvaraya Institute of Technology, Chincholi, Tal. Sinnar, Dist. Nashik 422101
Assistant Professor
Jun 2003 – Jul 2004
Pravara Rural Engineering College | Department of Computer Engineering
Engineering and Technology
Computer Science Artificial Intelligence

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Scholarly Work

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Scholarly Publications

Comparative Analysis of Contextual AI for Political Tweets

Conference Paper
Year: 2025. Pages: 1-5 .
Authors: Khatavkar, V.; Petkar, S.; Vaidya, A.
DOI 10.1109/ICAET63349.2025.10932247 Crossref Crossref: 1 Scopus Scopus: 1

Brain Tumor Detection from MRI Images Using YOLOv8 Deep Learning Model

Journal Article
Year: 2026. Volume: 3 , Issue: 1 , Pages: 142-146 .
Authors: Vinodkumar R. Patil; Archana S. Vaidya; Manisha S. Patil
DOI 10.63844/ijaitr.v3.i1.2026.142-146

Automated Stroke Severity Assessment Using EEG and Deep Learning Approaches

Preprint
Year: 2026.
Authors: Yogeshwari. R. Kolapkar; Archana S. Vaidya
DOI 10.2139/ssrn.6330505

Predicting DNA Sequence Similarity Across Species Using Machine Learning: a K-mer Based Approach

Journal Article
Malaysian Journal of Science. Year: 2026.
Authors: Patil, V.R.; Vaidya, A.S.; Patil, M.S.
DOI 10.22452/mjs.vol45no2.1

Automated Brain Tumor Classification on Brain MRI Images uses CNN Feature Extraction and Machine Learning Techniques

Open Access
Journal Article
Basrah Journal of Science. Year: 2025. Volume: 43 , Issue: 3 , Pages: 708-736 .
Authors: Vinodkumar R. Patil; Archana S. Vaidya; Manisha S. Patil
DOI 10.29072/basjs.20250309

A Parallel Dynamic Weighted Ensemble Classifier for High Dimensional Cancer Datasets with Horizontal Partitioning

Journal Article
SN Computer Science. Year: 2025. Volume: 6 , Issue: 5 , Pages: 393 .
Authors: Archana Suhas Vaidya; Dipak Patil; Rahul Chakre
DOI 10.1007/s42979-025-03928-z

RSKD Ensemble Classifier with Stable Ensemble Feature Selection for High Dimensional Low Sample Size Cancer Datasets

Journal Article
International Journal of Information Technology and Computer Science. Year: 2025. Volume: 17 , Issue: 2 , Pages: 49-59 .
Authors: Vaidya, A.S.; Patil, D.V.
DOI 10.5815/ijitcs.2025.02.05 Scopus Scopus: 1

Performance analysis of hybrid bio-inspired algorithms for classifying brain tumors in imbalanced magnetic resonance imaging datasets

Open Access
Journal Article
International Journal of Electrical and Computer Engineering (IJECE). Year: 2024. Volume: 14 , Issue: 6 , Pages: 6339 .
Authors: Rahul Ramesh Chakre; Archana S. Vaidya; Dipak V. Patil
DOI 10.11591/ijece.v14i6.pp6339-6350 Scopus Scopus: 1
Showing 1 to 8 of 13 publications