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George Kesidis is a Professor in the School of Electrical Engineering and Computer Science at Pennsylvania State University. His research focuses on Communications, Information Theory, Coding, Networked Systems, Data Science, and Artificial Intelligence. Throughout his academic career, he has published extensively on topics related to backdoor attacks in machine learning, dynamic workload optimization for cloud services, and cost performance-aware blending of cloud services. His innovative works include significant contributions to the field of data poisoning attacks and defense mechanisms, underscoring the importance of robust systems in the digital landscape. Additionally, he has engaged in various collaborative research projects that address key challenges in contemporary computing and engineering, further contributing to the educational advancement of undergraduate and graduate students in electrical engineering and computer science.
GRE scores are highly recommended but not strictly required for Applied Linguistics.