Low-Power Integrated Circuits and Embedded Systems Laboratory (LPiNS-Lab)
We research modeling and developing low-power algorithms and methodologies to design energy-efficient integrated circuits and computer hardware architectures for machine-learning applications and beyond. Foundational and applied work extends across diverse audiences and applications. For example, our real-time, wearable biomedical devices detect sleep apnea in adults and respiratory abnormalities among premature infants admitted to NICU; our embedded mobile application monitors infants and babies during sleep, and the handheld ultrasound machine detects possible cardiac or abdominal abnormalities and diseases using adult and pediatric echocardiography. In short, in our laboratory we are:
- Designing low-power integrated circuits for next-generation biomedical systems and applications such as detecting breathing and cardiac abnormalities.
- Developing power-efficient and real-time trackers and sensing systems for wildlife and natural conservation.
- Designing energy-efficient domain-specific hardware architectures for machine learning applications.
We are a group of intrigued individuals and low-key coffee connoisseurs who love to get their hands dirty!