Intelligent Integrated Circuits and Systems Lab24
Our research focuses on the development and verification of energy-efficient, high-performance mixed-signal integrated circuit (IC) architectures in CMOS technologies. In particular, our research interest includes the following areas:
1) Artificial intelligence (AI)-integrated IC for applications in edge robotics and the Tactile Internet,
2) In-memory, near-memory, and processing-in-memory architectures using the next-generation memory,
3) Low-latency transceiver IC for applications in the Tactile Internet,
4) High-speed parallel transceiver supporting various Ethernet standards.
Any research topic not listed above can be considered as our future research area. We are looking for self-motivated students. Please send your CV and transcript to jonghyeok.yoon at dgist.ac.kr if you are interested.!
Advisor Professor : Yoon, Jong-Hyeok
Intelligent Integrated Circuits and Systems Lab Homepage
1) Artificial intelligence (AI)-integrated IC for applications in edge robotics and the Tactile Internet,
2) In-memory, near-memory, and processing-in-memory architectures using the next-generation memory,
3) Low-latency transceiver IC for applications in the Tactile Internet,
4) High-speed parallel transceiver supporting various Ethernet standards.
Any research topic not listed above can be considered as our future research area. We are looking for self-motivated students. Please send your CV and transcript to jonghyeok.yoon at dgist.ac.kr if you are interested.!
Advisor Professor : Yoon, Jong-Hyeok
Intelligent Integrated Circuits and Systems Lab Homepage
Co-Author(s)
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Recent Submissions
- CONTINUOUS TIME DELTA SIGMA ANALOG-DIGITAL CONVERSION DEVICE CAPABLE OF SIMULTANEOUSLY MEASURING VOLTAGE AND CURRENT
- Design and Analysis of ΔΣ Modulator Analogous Bang-Bang Digital PLL
- Hexagonal metal complex based mechanically robust transparent ultrathin gold μECoG for electro-optical neural interfaces
- A 65nm 687.5-TOPS/W Drive Strength-based SRAM Compute-In-Memory Macro with Adaptive Dynamic Range for Edge AI applications
- A 97dB-PSRR 178.4dB-FOMDR Calibration-Free VCO−ΔΣ ADC Using a PVT-Insensitive Frequency-Locked Differential Regulation Scheme for Multi-Channel ExG Acquisition
