Failza Gul

Shahid Sattari University of Aeronautical Engineering

Papers

Total Citations

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About

Failza Gul is a rising researcher in artificial intelligence and robotics, with a focus on bio-inspired optimization algorithms for autonomous systems. Her work centers on developing hybrid frameworks that enhance robotic path planning and environment exploration, particularly in unknown or complex spaces. In her highly cited 2023 paper, "Reinforced Whale Optimizer for Ground Robotics," she introduced a multi-objective optimization technique that fuses reinforcement learning with whale-inspired heuristics, achieving notable improvements in map construction and exploration efficiency. This work has already garnered 6 citations, signaling its early impact. In a complementary study, "Aquila Optimizer with Parallel Computation Application for Efficient Environment Exploration," Gul applied the recently developed Aquila Optimization algorithm to robotic path planning, demonstrating how parallel computation can accelerate decision-making in AI-driven navigation. Both papers were presented with video demonstrations at a major aerospace conference, underscoring their practical relevance. Gul’s contributions are particularly valuable for students and researchers in robotics and AI, offering scalable, nature-inspired solutions to real-world exploration challenges. Her work bridges theoretical optimization and applied robotics, marking her as a promising voice in intelligent autonomous systems.