Introduction
RUIC (Resilient Ubiquitous Intelligence Computing) group research endeavors span the areas of design and implementation of cross-layer (device, circuit, architecture) co-design for complex machine learning tasks, secure computation, and intermittent computing. Our work emphasizes resiliency and ubiquity in systems to ensure robust performance across varying conditions and environments. We also delve into hardware security and the security of artificial intelligence. Specifically, our team tackles practical challenges in machine learning, computer architecture, and embedded systems, aiming to seamlessly integrate neuromorphic computing approaches with traditional Von Neumann architectures to advance ubiquitous and intermittent computing solutions.
News (2026-present)
- [March 2026]: Our paper “BISen: A Robust Framework for Efficient CNN Inference on Battery-Free Intelligent Sensory Nodes” is accepted to IEEE Transactions on Computers.
- [Feb 2026]: Three papers are accepted to DAC.
- [Jan 2026]: Our paper “ARISE: Adaptive Resource-aware Intelligent SEnsing Enabling Intermittent Learning” is accepted to IEEE Transactions on Circuits and Systems for Artificial Intelligence.
- [Jan 2026]: Our paper “GAN-enhanced machine learning and metabolic modeling identify reprogramming in pancreatic cancer” is accepted to PLOS Computational Biology.
- [Jan 2026]: Our paper “ADC-FIST: ADC-Free In/Near-Sensor Stochastic Object Tracking” is accepted to DATE.
Archived News
- [April 2025]: Our paper “Neuro-Photonix: Enabling Near-Sensor Neuro-Symbolic AI Computing on Silicon Photonics Substrate” is accepted to the IEEE TCASAI.
- [April 2025]: Our paper “RL-SEP: RL-Based: Smart Exit Point Selection for Enhancing Energy Harvested System Longevity” is accepted to the ACM SenSys.
- [March 2025]: Our paper “iSEW: in-Sensor Embedded Watermarking for Secure Imaging” is accepted to the FCCM MADCAP.
- [March 2025]: Our paper “LLM-IMC: Automating Analog In-Memory Computing Architecture Generation with Large Language Models” is accepted to the FCCM MADCAP.
- [March 2025]: Our paper “PINSim: A Processing In- and Near-Sensor Simulator to Model Intelligent Vision Sensors” is accepted to the IEEE CAL.