Ismail Keshta

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About

Ismail Keshta is a researcher at the forefront of intelligent robotics and cybersecurity, with a focus on integrating data mining and deep reinforcement learning to solve critical industrial challenges. His work addresses the growing need for autonomous systems that are both secure and efficient. Notably, Keshta pioneered a data mining-based anti-virus solution for smart robots, enabling real-time network virus detection and control through IoT intrusion prevention—a contribution that has garnered early attention with 3 citations. He further advanced the field by developing a Collision Criticality (CC) LSTM-DRL approach for automatic industrial robots, which leverages deep reinforcement learning and long short-term memory networks to achieve real-time trajectory planning and high-speed communication in complex environments. This innovative work, cited 2 times, demonstrates his ability to merge theoretical AI with practical automation. Keshta’s research is pivotal for Industry 4.0, offering robust defenses against cyber threats while enhancing robot adaptability and safety. His achievements mark him as a rising voice in smart robotics, with potential to shape future autonomous systems.