Shaik Mahamad Shakeer
Rajeev Gandhi Memorial College of Engineering and Technology, Vellore Institute of Technology University, Quba College of Engineering and Technology, Jagan's College of Engineering and Technology
About
Shaik Mahamad Shakeer is a PhD scholar in the School of Computer Science Engineering at Vellore Institute of Technology, Vellore, India. Holds an M.Tech degree in Computer Science and Engineering (CSE) from Quba College of Engineering & Technology, Venkatachalam, Andhra Pradesh, India, which he obtained in 2019, and a B.Tech degree in Information Technology from Quba College of Engineering & Technology, Venkatachalam, Andhra Pradesh, India, which he obtained in 2012. My research interests include Internet of Things, Federated Learning, and Data Privacy.
Employment
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Rajeev Gandhi Memorial College of Engineering and Technology Assistant Professor2024 - Present
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Vellore Institute of Technology University Assistant Professor (Junior)2021 - 2024
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Jagan's College of Engineering and Technology Assistant Professor2019 - 2020
Education
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Vellore Institute of Technology University Ph.D.2021 - 2026
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Quba College of Engineering and Technology M.Tech2017 - 2019
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Quba College of Engineering and Technology B.Tech2008 - 2012
Projects & Funding
Projects & funding information is unavailable.
Publications (11)
- "IoT-Enhanced Additive Manufacturing and Federated Learning for Smart Healthcare Systems." Combining Visual Intelligence and Federated Learning in Smart Healthcare Save
- Face recognition of faces with and without mask using CNN Save
- "MLP-GA-RF: Hybrid Machine Learning with Fog Integration for Advanced Heart Disease Prediction," Save
- Human Symptom Analysis for Multi-Disease andusing PyCharm and Machine Learning Prediction Save
- Privacy Preservation of EHR by Data Anonymization and Federated Learning for IoT Based Smart City Application in Healthcare Save
- Smart Cities: An In-Depth Study of AI Algorithms and Advanced Connectivity Save
- A Study of Federated Learning with Internet of Things for Data Privacy and Security using Privacy Preserving Techniques Save
- A Comprehensive Review on Data Privacy in the Internet of Things to Overcome the Challenges Save
- Secure Document Retrieval Scheme Over Encrypted Data in Cloud Using HABE Scheme Save
- Fog Based AI Framework for accurate early detection of chronic Kidney Disease Save