Mohamad Abdul Hady

Sepuluh Nopember Institute of Technology

Papers

Total Citations

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About

Mohamad Abdul Hady is a researcher at the forefront of neuromorphic control and adaptive aerial robotics. His work focuses on developing bio-inspired controllers that enable drones and aerial robots to dynamically reconfigure their neural network topologies in real time, allowing them to adapt to changing missions and environmental conditions without retraining. His most-cited paper, "Deep Neuromorphic Controller with Dynamic Topology for Aerial Robots" (2021), has garnered 8 citations and introduces a groundbreaking approach where robots can morph both physically and computationally to handle diverse tasks—from surveillance to package delivery—using spiking neural networks. This work challenges traditional fixed-architecture learning methods by demonstrating that aerial systems can achieve greater versatility and resilience through dynamic connectivity. Abdul Hady’s contributions are particularly significant for the future of autonomous drones operating in unstructured environments, where adaptability is critical. His research bridges neuroscience and robotics, offering a path toward more intelligent, energy-efficient machines. With a growing citation footprint, he is establishing himself as an innovator in neuromorphic engineering and embodied intelligence.