Academic Institution
People

Name
Role
Assistant Professor, Head of AIoT Research Laboratory
Name
Research Area
System-on-Chips, Low-power techniques for IoT systems, and Hardware accelerator for Neural networks
Role
Research Engineer
Projects
Competition 2025
Competition: Collaboration/Education
In the context of Industry 4.0, handwritten digit recognition plays a vital role in numerous applications such as smart banking systems and postal code detection. One of the most effective approaches to tackle this problem is through the use of machine learning and neural network models, which have demonstrated impressive accuracy and adaptability in visual pattern recognition tasks.