Intelligent Integrated Circuits and Systems Lab26
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)
Related Keyword
Recent Submissions
- High-Spatiotemporal-Resolution Transparent Thermoelectric Temperature Sensor Arrays Reveal Temperature-Dependent Windows for Reversible Photothermal Neuromodulation
- Translational reprogramming of dentate gyrus peptidergic circuitry gates antidepressant efficacy
- 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
