The Integrated Circuit and Embedded System (ICES) group involves the following research areas: analog/RF, digital and mixed-signal integrated circuit (IC) design, MEMS, and embedded systems.
Regarding IC design, we pursue continuous architectural and circuit innovation for advanced sensor interfaces, transceivers, and digital processing with performance and energy that are well beyond the state of the art. Our research aims to enable new applications, and involves the demonstration of novel integrated systems for biomedical applications and nodes for the Internet of Things, as few examples.
As we push the boundaries of integrated circuit/system technologies, we currently hold several records worldwide in all above areas and we lead the related state of the art. As few examples, in the analog/RF and mixed-signal IC design area, we demonstrated the first 450-nW biomedical sensor interface, a 17-pJ/bit transmitter and UWB beamformer with 1-phase resolution, the first integrated circuit demonstration of wearable ECG plaster, bionic neural link prototype, and wireless endoscopy.
In the digital and hardware security domain, we demonstrated the most secure Physically Unclonable Function with lowest energy (ISSCC 2015), the AES with lowest energy with only 0.1 mW consumption at 100 kbps, the first SRAM memory with scalable energy-quality tradeoff for ultra-low energy operation (ISSCC 2014), the smallest ADC Analog-to-Digital converter with widely scalable energy/resolution/voltage (ASSCC 2013), the fastest/most energy-efficient pulsed latch (ISSCC 2012).
As for MEMS, our research on MEMS sensor and MEMS-based circuit design spurred ultra-high Q resonators, MEMS based oscillator and MEMS accelerometer with CMOS readout circuit, achieving 0.4µg bias instability.
As for embedded system, our focus is on efficient and fault tolerant embedded system with low power consumption and design cost. Various automated tool-flows to raise the abstraction level have been developed. One such tool is MAMPS which can generate multiprocessor architectures for FPGA within seconds.
BioelectronicsSignal Processing and VLSI