My current research focuses on developing innovative methodologies for designing and optimizing computing systems, prioritizing the consideration of efficiency to achieve low size, weight, and power (SWaP) under constrained resources. It is aiming to create new algorithms, software optimization techniques and real-time hardware architecture to improve the system efficiency analytically.
By exploring emerging computational paradigms, such as approximate computing, my research covers applications in machine learning, artificial intelligence, wireless communications, and robotics, addressing diverse algorithmic and computing challenges.
Open to PhD applications in the fields of:
