DA
Dr. Mitul Kumar Ahirwal
Maulana Azad National Institute of Technology, National Institute of Technology Raipur, Indian Institute of Information Technology, Design and Manufacturing, Jabalpur
0000-0001-5346-7008
Employment
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Maulana Azad National Institute of Technology Assistant Professor2019 - Present
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National Institute of Technology Raipur Assistant Professor2015 - 2019
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National Institute of Technology Delhi Assistant Professor2014 - 2015
Education
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Indian Institute of Information Technology, Design and Manufacturing, Jabalpur Ph.D.2011 - 2014
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National Institute of Technology, Raipur M.Tech.2009 - 2011
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Samrat Ashok Technological Institute B.E.2005 - 2009
Projects & Funding
Projects & funding information is unavailable.
Publications (46)
- Investigation of various validation and testing schemes for classification of cross-session mental workload to match real-life expectations of BCI: A transfer learning and XAI approach Save
- Utilizing machine unlearning for faulty behavior patterns in human decision-making model: A sharded reinforcement learning approach Save
- Retraction Note: Analytic hierarchy process-based automatic feature weight assignment method for content-based satellite image retrieval system Save
- An End-to-End Brain Computer Interface System for Mental Workload Estimation through Hybrid Deep Learning Model Save
- An optimized pair-wise comparison approach for automated feature weight assignment in content-based image retrieval system Save
- Development of human decision making model with consideration of human factors through reinforcement learning and prospect utility theory Save
- Internet-of-Things-Enabled Early Warning Score System for Patient Monitoring Save
- Improved Classification of Mental Workload Using One Dimensional Convolutional Neural Network and SMOTE Technique Save
- RETRACTED ARTICLE: Analytic hierarchy process-based automatic feature weight assignment method for content-based satellite image retrieval system Save
- Assimilation of Pair-Wise Comparison Method to Decide Weights of Features Based on the Content of Image Save