JYOTI SRIVASTAVA

About

Dr. Jyoti Srivastava is the Head of the Department of Computer Science and Engineering at Kashi Institute of Technology, Mirzamurad, Varanasi. She earned her Ph.D. in 2024 from the Department of Information Technology and Computer Applications (ITCA), Madan Mohan Malaviya University of Technology (MMMUT), Gorakhpur, India.
Dr. Jyoti Srivastava has made significant contributions to research through her scholarly publications, including three papers in SCIE-indexed journals, three papers in ESCI-indexed journals, and more than eighteen papers presented at national and international conferences. Her research interests span computer networks, machine learning, natural language processing, video processing, and image processing. She is actively engaged in research and academic activities, with a strong focus on developing intelligent computing solutions for real-world challenges.

Employment

Employment history is unavailable.

Education

• Madan Mohan Malaviya University of Technology Phd
  2020 - 2024

Projects & Funding

Projects & funding information is unavailable.

Publications (9)

• Deep learning models for intrusion detection of irregularities and security breach detection in 5G networks
  OPSEARCH 2026 DOI: 10.1007/s12597-026-01098-x
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• Deep learning-enabled energy optimization and intrusion detection for wireless sensor networks
  OPSEARCH 2025 DOI: 10.1007/s12597-024-00791-z
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• Enhancing energy efficiency in intrusion detection: a cluster-based wireless sensor network protocol using PSO
  International Journal of System Assurance Engineering and Management 2024 DOI: 10.1007/s13198-024-02248-4
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• Fine-Grained Air Quality with Deep Air Learning
  2024 DOI: 10.1007/978-3-031-47221-3_22
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• Multi-modal for Energy Optimization and Intrusion Detection in Wireless Sensor Networks
  Wireless Personal Communications 2023 DOI: 10.1007/s11277-023-10768-8
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• Blockchain-Based Intelligent Agreement for Healthcare System: A Review
  Lecture Notes in Networks and Systems 2023 DOI: 10.1007/978-981-19-2821-5_53
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• Hybrid deep learning algorithm for brain tumour detection
  The Imaging Science Journal 2022 DOI: 10.1080/13682199.2023.2167624
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• A Perspective Toward 6G Connecting Technology
  Lecture Notes in Networks and Systems 2022 DOI: 10.1007/978-981-16-8721-1_70
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• Machine Learning Technique for Target-Based Sentiment Analysis
  Lecture Notes in Networks and Systems 2021 DOI: 10.1007/978-981-33-4687-1_16
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