Dr Saiprasad Potharaju
Assistant Professor - Selection Grade
| Department of Computer Science and Engineering
SYMBIOSIS Institute of Technology, Pune
Maharashtra
Expertise:
Computer Science Artificial Intelligence
31
Publications
0
Projects
283
Scopus Citations
184
CrossRef
13 Years 11 Months Total Experience
Scopus
283
Citations
11
h-index
CrossRef
184
Citations
7
h-index
Google Scholar
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Professional Recognition
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Community & Membership
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Personal Details
Doctor of Philosophy
2021
National Service Scheme
Master of Technology
2009
ICAR-National Institute of Natural Fibre Engineering and Technology
Bachelor of Engineering
2007
Kota University, Kota
Assistant Professor - Selection Grade
Nov 2024 – Present
SYMBIOSIS Institute of Technology, Pune
| Department of Computer Science and Engineering
Associate Professor
Jun 2023 – Nov 2024
MIT Art, Design and Technology University, Pune
| MIT School of computing
Assistant Professor
Oct 2012 – May 2023
Sanjivani College of Engineering, At. Sahajanandnagar, Post. Shingnapur, Tal. Kopargaon, Dist. Ahilyanagar
Engineering and Technology
Scholarly Work
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Scholarly Publications
TBAid: A domain-restricted diagnostic assistant for tuberculosis awareness and patient support using OpenRouter API Integration
Open Access
10.1016/j.mex.2026.103819
Crossref: 1
A Novel Cluster of Feature Selection Method Based on Information Gain
Price prediction for pre-owned cars using ensemble machine learning techniques
Open Access
10.3233/APC210194
Crossref: 12
A Real Time Intelligent Image Based Document Classification Using CNN and SVM
Open Access
10.21203/rs.3.rs-3409814/v1
Crossref: 2
Harnessing ensemble deep learning models for precise detection of gynaecological cancers
Open Access
10.1016/J.CEGH.2025.101956
Crossref: 1
Enhanced X-ray image classification for pneumonia detection using deep learning based CBAM and SE mechanisms
Open Access
10.1016/j.ibmed.2025.100299
Crossref: 3
SU-CCE: A Novel Feature Selection Approach for Reducing High Dimensionality
Open AccessTriplet learning-based generalized additive model leveraging explainable convolutional neural network for the early detection of autism in children
Open Access
Showing 1 to 8 of 31 publications