Alala Bahamid

International Islamic University Malaysia

Papers

Total Citations

H-Index

About

Alala Bahamid is an emerging researcher at the intersection of artificial intelligence, robotics, and public safety. Her work focuses on two critical domains: intelligent crowd evacuation during emergencies and autonomous mobile robot navigation. In her highly cited 2020 review, "Intelligent robot-assisted evacuation: A review" (17 citations), Bahamid systematically analyzed classical and modern approaches to crowd evacuation in mass gatherings such as shopping malls, concerts, and sporting events—environments where efficient emergency response can save lives. This foundational work established her as a thoughtful synthesizer of evacuation strategies. Building on this, her 2023 paper "Improving Deep Reinforcement Learning Training Convergence using Fuzzy Logic for Autonomous Mobile Robot Navigation" (4 citations) tackles a persistent challenge in robotics: inefficient exploration in complex environments. By integrating fuzzy logic with deep reinforcement learning, Bahamid proposes a novel method to accelerate training convergence without relying on extensive prior knowledge or restrictive assumptions. Though early in her career, her work demonstrates a clear trajectory from problem identification to algorithmic innovation, positioning her as a promising voice in intelligent, adaptive robotic systems for real-world safety applications.