Diwakar Tripathi

About

Dr. Diwakar Tripathi has received Ph. D. degree from National Institute of Technology Goa, India in 2018, M.E. degree in Computer Engineering (software engineering) from the Institute of Engineering and Technology, Devi Ahilya Vishwavidyalaya, Indore, India, in 2014 and B.E. degree in Computer Science and Engineering from IETE, New Delhi, India, in 2009.

He has nearly 10 years of teaching experience. Currently, he is working as an Assistant Professor at the National Institute of Technology Jamshedpur and has worked with various institutions such as the Indian Institute of Information Technology Sonepat, Thapar University, SRM university-AP, etc.

His current research includes Machine Learning, Data Analytics, Computational Intelligence and Bio-Informatics.

Employment

• National Institute of Technology Jamshedpur Assistant Professor
  2024 - Present
• Indian Institute of Information Technology Sonepat Assistant Professor
  2023 - 2024
• Thapar Institute of Engineering and Technology Assistant Professor
  2021 - 2023

Education

• National Institute of Technology Goa Ph.D.
  2015 - 2018

Projects & Funding

Projects & funding information is unavailable.

Publications (32)

• A nomadic multi-agent based privacy metrics for e-health care: a deep learning approach
  Multimedia Tools and Applications 2024 DOI: 10.1007/s11042-023-15363-4
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• Experimental Result Analysis of Extreme Learning Machine with Various Activation Functions: An Application in Credit Scoring
  Lecture Notes in Electrical Engineering 2023 DOI: 10.1007/978-981-99-0189-0_40
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• CFR: collaborative feature ranking for improving the performance of credit scoring data classification
  Computing 2022 DOI: 10.1007/s00607-021-01005-w
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• COVID-19 identification in chest X-ray images using intelligent multi-level classification scenario
  Computers and Electrical Engineering 2022 DOI: 10.1016/j.compeleceng.2022.108405
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• Credit Scoring Models Using Ensemble Learning and Classification Approaches: A Comprehensive Survey
  Wireless Personal Communications 2022 DOI: 10.1007/s11277-021-09158-9
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• BAT algorithm based feature selection: Application in credit scoring
  Journal of Intelligent and Fuzzy Systems 2021 DOI: 10.3233/JIFS-189876
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• Experimental analysis of machine learning methods for credit score classification
  Progress in Artificial Intelligence 2021 DOI: 10.1007/s13748-021-00238-2
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• Two-stage credit scoring model based on evolutionary feature selection and ensemble neural networks
  Machine Learning Algorithms and Applications 2021 DOI: 10.1002/9781119769262.ch6
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• Survey on brain-computer interface: An emerging computational intelligence paradigm
  ACM Computing Surveys 2020 DOI: 10.1145/3297713
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• Survey on classification and feature selection approaches for disease diagnosis
  Advances in Intelligent Systems and Computing 2020 DOI: 10.1007/978-981-15-0135-7_52
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