Dr. Kalpana Ponugoti

About

Kalpana Ponugoti, Ph.D., is an Assistant Professor in the Department of Computer Science and Engineering at AVN Institute of Engineering and Technology, Hyderabad, Telangana, India. She has over 9 years of academic and research experience. She earned her Ph.D. in Computer Science and Engineering from Vels Institute of Science, Technology and Advanced Studies (VISTAS), Chennai, India. Her research interests include machine learning, deep learning, artificial intelligence, Internet of Things (IoT), and cybersecurity, with a focus on healthcare applications.

Dr. Kalpana has published several articles in high-impact, indexed journals and presented her work at prestigious international conferences. She is an active reviewer for reputed scientific journals and contributes to advancing research in her field. In addition, she holds professional certifications in Salesforce platform development.

Employment

• Sreyas Institute of Engineering and Technology Assistant Professor
  2022 - Present
• Vignan Institute of Technology and Science Assistant Professor
  2021 - 2022
• Teegala Krishna Reddy Engineering College Assistant Professor
  2016 - 2021

Education

• Vels Institute of Science Technology & Advanced Studies School of Engineering PhD
  2019 - 2024
• Jawaharlal Nehru Technological University Hyderabad M.Tech
  ? - 2015
• Jawaharlal Nehru Technological University Hyderabad B.Tech
  ? - 2011

Projects & Funding

Projects & funding information is unavailable.

Publications (21)

• A Novel Tiny Machine Learning Framework for Side Channel Attack Detection in Vehicular Networks
  Transactions on Emerging Telecommunications Technologies 2026 DOI: 10.1002/ett.70434
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• Fog-Based Secure Chaotic Wireless Sensor Network for ECG Data Transmission in Healthcare Systems
  International Journal of Computational and Experimental Science and Engineering 2025 DOI: 10.22399/ijcesen.1742
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• Q-BodyFogNets: A Novel Energy-Aware Deep Learning Framework for Predicting Heart Diseases in Fog-BAN Environments
  International Journal of Computational and Experimental Science and Engineering 2025 DOI: 10.22399/ijcesen.1741
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• A Web 3.0 Integrated Blockchain Enabled Access System Augmented by Meta-Heuristic Cognitive Learning Framework for Mitigating Threats in IoT Enabled Consumer Electronic Devices
  IEEE Transactions on Consumer Electronics 2025 DOI: 10.1109/TCE.2025.3553741
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• A novel end-to-end privacy preserving deep Aquila feed forward networks on healthcare 4.0 environment
  Discover Internet of Things 2025 DOI: 10.1007/s43926-025-00157-x
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• Explainable AI-Driven Gait Analysis Using Wearable Internet of Things (Wiot) and Human Activity Recognition
  Journal of Intelligent Systems and Internet of Things 2025 DOI: 10.54216/JISIoT.150205
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• Health-Fots-A Latency Aware Fog Based IoT Environment and Efficient Monitoring of Body’s Vital Parameters in Smart Health Care Environment
  Journal of Intelligent Systems and Internet of Things 2025 DOI: 10.54216/JISIoT.150112
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• Improving Decision-Making and Managing Civil Infrastructure in Buildings
  Sustainable Civil Infrastructures 2025 DOI: 10.1007/978-3-031-84335-8_26
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• Smart Infrastructure Management: Leveraging Artificial Intelligence for Precision Crack Detection and Maintenance
  Sustainable Civil Infrastructures 2025 DOI: 10.1007/978-3-031-84335-8_8
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• A Hybrid Deep Learning Approach for Efficient Cross-Language Detection
  International Journal of Computational and Experimental Science and Engineering 2024 DOI: 10.22399/ijcesen.808
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