معرفی
Shawkat K. Guirguis is an academic researcher with a focus on cybersecurity, machine learning, and IoT technologies. His work spans across intrusion detection systems, botnet prevention, and adaptive algorithms for network security. He has contributed to advancements in deep learning applications for social media analysis and real-time trajectory compression. His research often intersects with practical implementations in smart cities and healthcare authentication systems.
Key areas of exploration include the use of boosting algorithms, tree-based models, and blockchain integration to enhance IoT security. His publications highlight contributions to wireless sensor networks and stock prediction models. Despite extensive research output, affiliations such as university or department remain unspecified in available records.
