The researcher focuses on advancing methods for detecting cyber threats such as man-in-the-middle (MITM) attacks using convolutional neural networks (CNNs), particularly in network security contexts within the physical sciences domain. Additionally, they investigate sentiment analysis and opinion mining techniques applied to sports analytics, with a specific example of analyzing Ghanaian football tweets from the 2022 FIFA World Cup to understand public sentiment on sports events. Their work bridges cybersecurity challenges with social behavior analysis, demonstrating interdisciplinary applications in both network security and sports analytics.
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