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!
Research Topics
LPiNS-Lab focuses on solving the energy-efficiency problem in embedded systems and integrated circuits. We develop methodologies for low-power integrated circuits (IC) used in diverse applications, from biomedical to environmental. With a background in computing and embedded systems, we also work in designing energy-efficient artificial intelligence (AI) accelerators and memory by utilizing analog and digital domains. Our laboratory thrives on innovation and envisions a future where technology is a force for good. We are driven by the dual pursuit of societal advancement and environmental sustainability, ensuring that our research has a lasting impact on our communities and planet. Visit our research topics if you want to contribute to our mission and vision.