Pranab Das
National Institute of Technology Nagaland, National Institute of Technology Meghalaya, Jorhat Engineering College
0000-0002-3757-4118
About
Pranab Das is a researcher specializing in Computational Biology, Bioinformatics, Drug Discovery and Development, and Computational Biology. He has published several research papers in reputed transactions, journals and prestigious conferences and Patents. He serves as an active reviewer for several prestigious journals and transactions published by IEEE, Elsevier, Springer, ACM, and other leading publishers. His research and reviewer details can be found at https://orcid.org/0000-0002-3757-4118 . He completed his Ph.D. thesis in Computer Science and Engineering at the National Institute of Technology Nagaland, India. He earned his M.Tech degree in 2021 from the National Institute of Technology Meghalaya (NITM), India, a Bachelor of Engineering (BE) degree in 2018 from Jorhat Engineering College (JEC), Assam, India, and a Diploma in 2014 from Assam Engineering Institute (AEI), Assam, India, all in Computer Science and Engineering.
He is qualified Junior Research Fellowship (JRF) holder and Assistant Professor in Computer Science and Applications under the University Grants Commission National Eligibility Test (UGC-NET) in India, as of 2023. Furthermore, he has cleared the State Level Eligibility Test (SLET) for Assistant Professor in Computer Science and Applications in India, as of 2023. He also passed the Graduate Aptitude Test in Engineering (GATE) in the year 2019.
He has been serving as a Regular Assistant Professor at a State University in Assam, India, under the University Grants Commission (UGC), since 2024. He has a strong research profile, with more than 250 citations on Google Scholar, an h-index of 10, and an i10-index of 11, reflecting the impact and quality of his scholarly contributions.
Email Id: [email protected]
Phone No. 9577313326
Employment
Employment history is unavailable.
Education
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National Institute of Technology Nagaland Ph.D.2021 - 2024
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National Institute of Technology Meghalaya M.Tech2019 - 2021
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Jorhat Engineering College Bachelor of Engineering (BE)2015 - 2018
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Assam Engineering Institute Diploma2011 - 2014
Projects & Funding
Projects & funding information is unavailable.
Publications (25)
- Cacl: a novel chemical-ADE co-linker classifier for identifying adverse drug effects from chemical properties Save
- BRMCF : Binary Relevance and MLSMOTE based Computational Framework to Predict Drug Functions from Chemical and Biological Properties of Drugs. Save
- A novel neural network-based nearest neighbor approach for drug function prediction from chemical structures Save
- A Comprehensive Survey of Studies on Predicting Anatomical Therapeutic Chemical Classes of Drugs Save
- IncV3-BLSTM: a multi-label inceptionV3-BLSTM model for predicting potential side effects of COVID-19 drugs Save
- MLCNN-LSTM-COV: A Multi-Label Convolutional Neural Network and Long Short-Term Memory-Based Framework for Predicting Adverse COVID Drug Reactions Save
- MLCNNF: A Multi-Label Convolutional Neural Network Framework for Predicting Adverse COVID Drug Reactions From the Chemical Structure Save
- Inceptionv3-LSTM-COV: A multi-label framework for identifying adverse reactions to COVID medicine from chemical conformers based on Inceptionv3 and long short-term memory Save
- K1K2NN: A novel multi-label classification approach based on neighbors for predicting COVID-19 drug side effects Save
- Advances in Predicting Drug Functions: A Decade-Long Survey in Drug Discovery Research Save