Project Lecturer Shintaro Shiba received The 39th Advanced Technology Award by Sankei Shimbun, Ltd.

On 22rd July 2026, Project Lecturer Shintaro Shiba, Department of Electrical Engineering, received The 39th Advanced Technology Award by Sankei Shimbun, Ltd. 

The 39th Advanced Technology Award by Sankei Shimbun, Ltd. 

The 'Advanced Technology Student Paper Award' was established in 1986 with the aim of nurturing originality and creativity among science and engineering students while inspiring their passion for research. Starting from the 16th edition, based on the belief that industry-academia-government collaboration and the development of young engineers are essential to building a 'nation based on scientific and technological innovation,' young corporate researchers and engineers were added as eligible candidates, and the name was changed to 'Advanced Technology Award.'" The Sankei Shimbun Award corresponds to the Excellence Award in the Working Professionals Division. As in previous years, the 39th award ceremony was grandly held on Wednesday, July 22, at the Meiji Memorial Hall in the presence of Her Imperial Highness Princess Takamado.

About awarded research

This award was presented in recognition of our collective work over the past several years, spanning fundamental research on event camera processing theory to applied studies. The awarded paper summarizes the field from the historical inception of event cameras to current global trends and the forefront of international research. It outlines how our research team has pioneered developments both in Japan and globally, while detailing future prospects, such as possibilities for ultra-low-power vision-based AI.

Your impression & future plan

Deeply honored to receive the prestigious Advanced Technology Award (Sankei Shimbun Award), we will use this recognition as strong motivation to further deepen and advance our research on event camera processing theories and applied technologies. Moving forward, to reconcile low power consumption with real-time performance in vision-based AI, we will promote research and development spanning from fundamental theories to real-world implementation. We remain committed to leading this field globally, striving to contribute to a sustainable and smart next-generation AI society.