FACULTY

Our research in power and energy-efficient computing systems is essential to meeting the growing demand for more powerful and sustainable technology. As society increasingly relies on computing devices, managing their energy consumption becomes crucial. By developing efficient computing systems, we can significantly reduce energy costs, minimize environmental impact, and extend the battery life of portable devices. In large-scale data centers, enhancing energy efficiency leads to substantial cost savings and a reduced carbon footprint. Our work in this field fosters innovation in hardware and software design, paving the way for smarter, greener technologies that benefit both users and the planet.

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We advance next‑generation adaptive autonomous systems through neuromorphic AI, anthropomorphic prosthetics, and intelligent robotic platforms. Our work integrates neuroscience, AI, neuromorphic computing, and robotics to develop lifelike systems that operate autonomously while adapting to human intent and dynamic environments. Using neuromorphic architectures and spiking neural networks, we design control frameworks enabling natural interaction between artificial limbs, androids, and biological users.

We also develop non‑invasive neural interfaces for continuous intent decoding, and advanced sensory‑processing models that give androids human‑like perception and real‑time responsiveness. Extending these capabilities to distributed anthropomorphic robots, we study multi‑agent coordination, shared perception, and scalable autonomy. This research forms the foundation for future assistive technologies, human augmentation, and adaptive humanoid systems.

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