Rahul Semwal

Employment

• Indian Institute of Information Technology, Nagpur Assistant Professor
  2022 - Present
• Indian Institute of Information Technology Allahabad Post-Doctoral
  2020 - 2022
• Indian Institute of Information Technology Research Scholar
  2016 - 2021

Education

• Indian Institute of Information Technology Allahabad Post-Doctoral Fellow
  2020 - 2022
• Indian Institute of Information Technology Allahabad Ph.D.
  2016 - 2021
• Indian Institute of Information Technology Allahabad M.Tech
  2014 - 2016
• Azad Institute of Engineering and Technology B.Tech
  2008 - 2012

Projects & Funding

Projects & funding information is unavailable.

Publications (20)

• STPFL: Stable teacher-guided personalized federated learning for heterogeneous multi-institution medical imaging
  Intelligent Data Analysis: An International Journal 2026 DOI: 10.1177/1088467X261474319
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• Mapping genetic diversity with the GenomeIndia project
  Nature Genetics 2025 DOI: 10.1038/s41588-025-02153-x
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• XGBoost odor prediction model: finding the structure-odor relationship of odorant molecules using the extreme gradient boosting algorithm
  Journal of Biomolecular Structure and Dynamics 2024 DOI: 10.1080/07391102.2023.2258415
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• DeepLBS: A deep Convolutional Neural Network-Based Ligand-Binding Site Prediction Tool
  2023 6th International Conference on Information Systems and Computer Networks, ISCON 2023 2023 DOI: 10.1109/ISCON57294.2023.10112034
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• E-nose: A low-cost fruit ripeness monitoring system
  Journal of Agricultural Engineering 2022 DOI: 10.4081/jae.2022.1389
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• In silico identification of therapeutic compounds against microRNA targets in drug-resistant pancreatic ductal adenocarcinoma
  Journal of Biomolecular Structure and Dynamics 2021 DOI: 10.1080/07391102.2020.1782262
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• DeepOlf: Deep neural network based architecture for predicting odorants and their interacting Olfactory Receptors
  IEEE/ACM Transactions on Computational Biology and Bioinformatics 2021 DOI: 10.1109/tcbb.2020.3002154
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• An entropy-based classification of breast cancerous genes using microarray data
  Neural Computing and Applications 2020 DOI: 10.1007/s00521-018-3864-8
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• Pr[m]: An Algorithm for Protein Motif Discovery
  IEEE/ACM Transactions on Computational Biology and Bioinformatics 2020 DOI: 10.1109/tcbb.2020.2999262
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• Author Correction: Identification of novel dysregulated key genes in Breast cancer through high throughput ChIP-Seq data analysis (Scientific Reports, (2017), 7, 1, (3229), 10.1038/s41598-017-03534-x)
  Scientific Reports 2020 DOI: 10.1038/s41598-020-61541-x
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