AI vs. Human Vision
Interdisciplinary Research on Artificial Intelligence
Role
Research Presenter
Industry
CALTECH
Duration
2 Days
OVERVIEW
Presented my interdisciplinary research at the Conference for Emerging Black Academics in STEM (CEBAS), an annual Caltech conference dedicated to showcasing and supporting Black scholars in STEM. Conducted a literature review comparing human visual perception with computational vision models. Analyzed biological mechanisms, feature detection, depth cues, and attention, and contrasted them with CNNs and Vision Transformers. Evaluated challenges such as limited generalization, weak contextual reasoning, adversarial vulnerabilities, and bias in AI vision systems. Proposed future directions including neuromorphic architectures and cross-disciplinary collaboration between neuroscience and AI.
Other projects
Reusable Sanitary Pads
Led product design and management for a reusable sanitary pad supporting girls in underserved Liberian communities.
Duo-Side
A Duolingo inspired wellness app designed to help Berea College students manage academics, work-study, and daily habits through simple, achievable actions.
Focus Timer Robot — Arduino, C++, Electronics
A distraction-free hardware timer designed to support student focus and productivity.