معرفی
Charles Higgins is an Associate Professor at the University of Arizona, specializing in computational neuroscience and bio-inspired engineering. His research integrates mathematical modeling of neural systems with engineering applications, bridging neurobiology and robotics. The Higgins Laboratory collaborates closely with neurobiology labs to study insect sensory systems and translate findings into efficient computational and VLSI designs for visual navigation and motion processing. Key projects include biomimetic visual motion sensors, small-target tracking algorithms, and neuromorphic architectures for autonomous systems.
Research interests focus on understanding biological neural architectures—particularly in insects—and applying these insights to create superior engineering solutions. Notable contributions include models of elementary motion detection in flies, VLSI implementations of visual motion algorithms, and systems for obstacle avoidance in robotics. His work emphasizes parallel, continuous-time computing inspired by neuronal circuitry.
Publications highlight advancements in bio-inspired visual processing, including motion detection modules for dragonfly-inspired robots and algorithms for image speed estimation. Higgins' engineering innovations often aim to mimic natural systems' efficiency and robustness, with applications in both basic science and applied robotics.
Labs and collaborations involve cross-disciplinary teams focused on integrating biological principles with cutting-edge technology. While no specific awards are listed, his extensive publication record reflects sustained contributions to neuromorphic engineering and computational neuroscience.
