My research vision is to create the next generation of intelligent, energy-efficient, and inclusive computing systems that bridge the gap between embedded systems, artificial intelligence, and human-centered technology design. I am passionate about developing innovative solutions that bring AI closer to the edge through sustainable, low-power, and high-performance embedded architectures capable of operating in real-world, resource-constrained environments.

My work focuses on advancing edge AI, IoT-enabled systems, hardware-software co-design, and intelligent embedded technologies that can power smarter and more adaptive devices across applications such as autonomous systems, smart sensing, healthcare, and assistive technologies. At the same time, I am committed to ensuring that technological innovation remains accessible and socially impactful. Through research on refreshable Braille systems, intelligent haptic interfaces, and multimodal assistive technologies, I aim to design computing solutions that promote accessibility, inclusion, and equitable access to STEM education and digital learning.

Ultimately, my goal is to build a multidisciplinary research program that combines technical innovation, sustainability, and societal impact to develop technologies that improve lives and shape a more inclusive technological future.