AI-empowered Sub-wavelength Feature Extraction for Advanced Active Vibrotactile Object Recognition in Biotechnology (AIWAVE)

Faculty Development Competitive Research Grant Program (AI and Data Science) 2024-2026

Within this context, this project's main objective - is to harness the power of low-frequency mechanical waves or vibrations as a groundbreaking tool to detect and extract object features concealed within random scattering media or soft tissues. This cutting-edge endeavor introduces a novel approach by leveraging the latest advances in artificial intelligence (Al) to decode the intricate wave scattering phenomena occurring within disordered media while utilizing long wavelength vibrations to extract features significantly smaller than the wavelength itself. Moreover, this visionary project aims to integrate these advanced imaging techniques with robotized systems, propelling medical diagnostics into a new era of automated and precise interventions. This convergence of AI and low-frequency vibrations presents an unprecedented opportunity to revolutionize diagnostics, particularly in the realm of healthcare, and holds immense promise for the healthcare system in Kazakhstan and beyond.