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博士学位
With Certificate of Graduation for Doctorate Study
University of Electronic Science and Technology of China
Gender:Male
Date of Employment:2019-07-01
E-Mail:c092c17d114519f16ae89648fc481926919f4b3243dc3548ab610a5b85246103bc9b244df62031c13fa860c2bc3c93d3a7c092d4e1f005a30b57cedc576d948148a2f35951f158bdbb64ee4163d31248ad0b8afac3f31bc1fc3d735fb808d3668060000594cbab804a71f27906d816c38a157cc4216f25f3c120da32509b12e9
Dr. Rajesh Kumar is an outstanding graduate of the University of Electronic Science and Technology of China. He won the academic performance award and was recognized as an outstanding graduate student from 2016 to 2019. He collaborated on two national projects with Prof. Xiaosong Zhang during 2017-2019, including the 2019 National Natural Science Foundation Fund project titled "Research on Intelligent Identification Method of IoT Malware Based on Android." Additionally, he spearheaded the project "Blockchain-Based Secure Data Sharing" funded by the University of Electronic Science and Technology Talent Special Fund in 2019 and federated blockchains for PET-CT imaging (2023). He Published 70+ papers in top-tier journals and conferences, with notable recognition for COVID-19 detection using CT imaging. secured multiple government and university-level projects.
Dr. Kumar contributes to AI and cybersecurity advancements. Explore his work at https://raja21068.github.io/raja/
List Of Publications
1. Research on data mining of Permission-Induced Risk for Android IoT Devices.
2. MID-LLM: Enhancing Medical Image Diagnostics With LLMs in a Blockchain AI Framework.
3. 3DFFL: privacy-preserving Federated Few-Shot Learning for 3D point clouds in autonomous vehicles.
4. Privacy-preserving blockchain-based federated learning for brain tumor segmentation
5. Blockchain and homomorphic encryption based privacy-preserving model aggregation for medical images
6. Blockchain-federated-learning and deep learning models for covid-19 detection using ct imaging
7. An integration of blockchain and AI for secure data sharing and detection of CT images for the hospitals
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Specialized in Network Security, Deep Learning, Large Language Models, Computer Vision, and Blockchain Technology. My research is focused on developing innovative solutions to address critical challenges in cybersecurity and data privacy. With a deep commitment to advancing AI-powered syst
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