Kofi Appiah

About

Dr. Kofi Appiah is a leading researcher at the intersection of neuromorphic engineering and computer vision, with a core focus on developing ultra-fast, biologically-inspired vision systems for real-time applications. His most significant contributions center on the mathematical modeling and hardware implementation of the Lobula Giant Movement Detector (LGMD), a wide-field visual neuron from the locust nervous system that excels at detecting looming objects and collision threats. Dr. Appiah’s seminal work, including a modified LGMD model and its FPGA implementation (2010, 27 citations), pioneered the translation of this biological mechanism into efficient, resource-limited hardware. By introducing additional depth movement features (2009, 18 citations), he enhanced the model’s ability to distinguish approach velocity and proximity. His recent research on an FPGA-based neuromorphic vision system accelerator (2024) further advances this field, aiming to achieve the high-level scene understanding and ultra-fast processing required for secure, real-time interaction in embedded systems. Through this fusion of neuroscience and engineering, Dr. Appiah’s work has laid a critical foundation for next-generation, low-power collision avoidance and event-driven vision systems.

Research Focus

Key Achievements

Top Papers

1. 1
   A modified model for the Lobula Giant Movement Detector and its FPGA implementation

   27 citations · 2010
2. 2
   A modified neural network model for Lobula Giant Movement Detector with additional depth movement feature

   18 citations · 2009
3. 3
   An FPGA-based neuromorphic vision system accelerator

   1 citations · 2024

Key Collaborators

Contact & Links