SB
Sanjay Bankapur
National Institute of Technology Puducherry, Manipal Institute of Technology, National Institute of Technology Karnataka, International Institute of Information Technology Hyderabad
0000-0003-3982-3859
Employment
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National Institute of Technology Puducherry Assistant Professor - Grade II2021 - Present
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Manipal Institute of Technology Assistant Professor2014 - 2014
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eVerge Software Solution Ltd. Senior Consultant2014 - 2014
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PRIMUS Global Technologies Pvt. Ltd. Team Lead2013 - 2013
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Accenture Services Pvt Ltd Team Lead2009 - 2010
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Birlasoft (India) Limited Sr. Software Engineer2007 - 2009
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Tech Mahindra Limited Technical Associate2005 - 2007
Education
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National Institute of Technology Karnataka Ph.D.2015 - 2021
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International Institute of Information Technology Hyderabad Master of Technology2011 - 2013
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Bapuji Institute of Engineering and Technology Bachelor of Engineering2001 - 2005
Projects & Funding
Projects & funding information is unavailable.
Publications (19)
- Gene Ontology graph embeddings with Dynamic Thresholding based Deep Neural Networks for Multi-label protein subcellular localization prediction Save
- An Effective Framework for Protein Fold Prediction through the Fusion of Evolutionary Information and Attention Mechanism with Deep Neural Networks Save
- Energy-Efficient Depthwise Separable CNNs for Classification and Segmentation of Lung Cancer Nodules Save
- Real-Time Tree Cutting Detection for Surveillance Using YOLO Save
- Learning with Caution: Assessing LLM Performance on Answerable and Unanswerable Questions Save
- HydroStack: A Hybrid Meta-Ensemble Machine Learning Framework for Accurate Annual Rainfall Prediction Save
- Leveraging Pre-Trained Text-To-Text Transfer Transformer Language Model for Accurate Prediction of Drug-Target Interactions Save
- Prediction of Drug-Target Interactions Using BERT for Protein Sequences and Drug Compound Save
- A machine learning based study for the prediction of drug-target interaction using protein and drug molecule descriptors Save
- An effective feature extraction with deep neural network architecture for protein-secondary-structure prediction Save