With over 27 years of experience in industry and academia, I am a dedicated researcher and innovator specializing in networking, machine learning, and distributed computing. My career is defined by a commitment to addressing complex challenges and making significant scientific contributions to these dynamic fields. I hold 17 international patents and have published extensively in prestigious journals and conferences, including the IEEE IoT Journal and IEEE Transactions. My work has been recognized with awards from leading scientific initiatives, such as ITER, demonstrating the impact and relevance of my research.
Throughout my career, I have developed groundbreaking methodologies, such as the Carbon-Conscious Federated Reinforcement Learning (CCFRL) approach, and advanced techniques in Software-Defined Networking (SDN), machine learning, and IoT security. My unique strength lies in my multidisciplinary problem-solving skills, enabling me to bridge research, concept development, and real-world applications.
Proceedings of the 2021 17th International Conference on Network and Service Management: Smart Management for Future Networks and Services, CNSM 2021, IEEE 2021 : 42-48
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