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Kaamran Raahemifar is a Teaching Professor at Penn State College of Information Sciences and Technology. His primary research interests lie in the fields of Data Science and Artificial Intelligence. He has extensive expertise in Transaction Security, Applied Optimization, and Data Modeling, focusing on prediction methods and large system simulation design. Raahemifar has also contributed to the development of Anomaly Detection Testing and Blockchain Applications. In addition to his work in traditional computing environments, he has explored innovative applications in Medical Image Processing and the creation of Net-Zero Energy Communities. His work extends to finance, particularly in Stock Markets, and he investigates the technology behind Self-Driving Cars and the implications of Legal Statements in technology deployment.
GRE scores are highly recommended but not strictly required for Applied Linguistics.