Low-Power Integrated Circuits and Embedded Systems Laboratory (LPiNS-Lab)
We model and develop energy-efficient algorithms and design complementary low-power processors at both the IC and RTL levels for emerging computer architectures that target large-scale parallel computations and AI workloads. Foundational and applied research work extends across diverse audiences and applications, from biomedical device innovation to re-designing in-memory device architecture. In short, in our laboratory, we are:
- Designing power-efficient processor chips and RTL-level domain-specific computer architectures (DSAs) to execute high computational workloads and massively parallel computing.
- Modeling energy-efficient deep learning algorithms to tackle the current AI training and testing bottleneck.
- Developing low-power integrated circuits and systems for next-generation biomedical instrumentations such as inkjet-printed AI-core-based respiratory bracelets and efficient computer vision models on the “edge”.
We are a group of intrigued individuals and low-key coffee connoisseurs who love to get their hands dirty!
LPiNS News
Get updated on the latest news and achievements from the LPiNS Lab!
Paper Invitation
Our collaborators and the LPiNS lab are guest editing a special issue titled ” AI-Enabled Sensors for Next-Generation Biomedical Systems” in Biosensors (IF: 6.2 in 2025).
You can find the SI via the Journal Details Link

Research Topics
LPiNS-Lab focuses on solving the power-consumption problem on both the software and hardware side. We develop methodologies for low-power integrated circuits (IC) and hardware modeling for computer processors. With a background in computing, integrated circuits, and embedded systems, we work on designing energy-efficient artificial intelligence (AI) accelerators and systems leveraging both the 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 sustainability, ensuring that our research has a lasting impact on our communities and planet. Visit our research topics to contribute to our mission and vision.