Dr. Rajesh Dwivedi

About

Mr. Rajesh Dwivedi is an assistant professor at Bennett University, Greater Noida. Previously, he was a senior research fellow and doctoral student in the Department of Computer Science and Engineering at the Indian Institute of Technology, Indore. In 2018, he received a Master of Technology in computer science and engineering from the Indian Institute of Technology (ISM) in Dhanbad, India. He received a B.Tech. degree in the Department of Computer Science and Engineering from Gurukula Kangri University, Haridwar, India. His current research interests include machine learning algorithms, scalable feature extraction approaches, clustering algorithms, and the analysis of genome data. He is a member of various professional societies, including the Soft Computing Research Society, IEEE, and ACM. He has published a number of journal articles in SCI-indexed journals and conference papers at internationally ranked conferences. Additionally, he reviews numerous SCI-indexed journals, including Computers in Biology and Medicine, The Journal of Supercomputing, and others.

Employment

• Bennett University Assistant Professor
  2024 - Present
• Indian Institute of Technology Indore Senior Research Fellow
  2021 - Present
• Krishna Institute of Engineering & Technology Assistant Professor
  2019 - 2021
• Vignan's Foundation for Science, Technology and Research Assistant Professor
  2018 - 2019

Education

• Indian Institute of Technology Indore PHD
  2021 - Present
• Indian Institute of Technology(ISM), Dhanbad Master of Technology
  2016 - 2018

Projects & Funding

Projects & funding information is unavailable.

Publications (23)

• An unsupervised hybrid feature selection approach using scalable laplacian score and binary particle swarm optimization
  Applied Intelligence 2026 DOI: 10.1007/S10489-026-07276-0
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• Bid-Swires and Deep-AttCTrans: A spatio-temporal attention-based framework for detecting deepfake videos
  Signal, Image and Video Processing 2026 DOI: 10.1007/S11760-026-05328-Z
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• AEMT-ZM: absolute embedding enclosed modified transformers with self-attention based zero-watermarking for securing medical data
  The Journal of Supercomputing 2026 DOI: 10.1007/S11227-026-08475-9
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• A novel chemical property-based, alignment-free scalable feature extraction method for genomic data clustering
  Computers and Electrical Engineering 2025 DOI: 10.1016/j.compeleceng.2025.110175
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• A Hybrid ECC-Based Lightweight Authentication Scheme for IoT and RFID
  International Conference on Recent Advances in Information Technology (RAIT) 2025 DOI: 10.1109/RAIT65068.2025.11088971
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• A scalable method for extracting features using a complex network from SNP sequences and clustering using the scalable Max of Min algorithm: A scalable method for extracting features using a complex network...
  Soft Computing 2025 DOI: 10.1007/S00500-025-10622-Y
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• Scalable Distributed Laplacian Score for Feature Selection
  Communications in Computer and Information Science 2025 DOI: 10.1007/978-981-96-6966-0_1
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• Transformer Based Deep Learning Model For Object Detection Using Meta Learning
  International Conference on Recent Advances in Information Technology (RAIT) 2025 DOI: 10.1109/RAIT65068.2025.11088894
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• A taxonomy of unsupervised feature selection methods including their pros, cons, and challenges
  The Journal of Supercomputing 2024 DOI: 10.1007/S11227-024-06368-3
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• Scalable Kernelized Deep Fuzzy Clustering Algorithms for Big Data
  2023 IEEE Symposium Series on Computational Intelligence (SSCI) 2024 DOI: 10.1109/ssci52147.2023.10372066
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