To be Prospective Our Members (Students or Visiting Researchers)

SW-Embedded S2oftware-on-Chip Expert Training Center

Our lab focuses on training highly in-depth expert VLSI chip designers, teaching the following all stages to realize the AI-stacked system-software-on-chip for various mission-critical embedded system design, especially capable of

  • Optimizing on-chip embedded AI software stack.

  • Designing tightly-coupled on-chip AI hardware accelerator.

  • Implementing full stack AI-Embedded system-software-on-chip integrated on CMOS silicon die.

D. Park 

We choose some prospective candidates to be members in our team, then train them about the following technical topics. Graduate students will assist them to upgrade their technical skill, so that they can achieve successful results in our lab. During the training courses, we evaluate their capability and attitude to be our members, one candidate may be selected as our member. Our policy is only to select one per year.

D. Park 

Intensive Training Courses

To be members with our Lab, we recommend to participate special intensive training camp with the following:

1:1 Internship Camp

  • March-June or Sept-Dec, 4 months, 1 time per week

  • Adviser-Student 1:1 Internship Course

  • Exploring Interest Topics

main 

Summer Coding Camp

  • 2 weeks intensive course on July

  • Pre-course to be member in our Lab

main 

Winter Coding Camp

  • intensive course on Jan.

  • Pre-course to be member in our Lab

main 

Individual Undergraduate Student Internship Members

All prospective candidates are evaluated for their research activities during 2 months. No. 1 excellent student will only enter the next stage of our training courses. The acceptance ratio is only under 10% (10:1), very competitive.

2024.08

Undergraduate Student Research Internship (15th)

  • Youngwon Jeon - Interoperation of Verilog and Vehicle Simulators

  • Suhyun Kim - Digital Logic Design (Fundamentals), Validation

  • Hoseung Kim - AI Accelerator with High Performance Cores

  • Chihun Hwang - Robust On-Chip Bus Protection

2024.07

Undergraduate Student Research Internship (14th)

  • Youngwon Jeon - Image Data Processing using C, Verilog (Pre, Post)

  • Suhyun Kim - Digital Logic Design (Fundamentals), Validation

  • Seunghun Choi - I/F FSM Controller

  • Hoseung Kim - FIFO, Buffering

  • Chihun Hwang - SERDES Logic Design for High Speed I/F

2024.03-2024.06

Undergraduate Student Research Internship (13th)

  • Gihyun Jeon - Memory Access Patterns-Aware Scratch Pad Memory Optimization

  • Hyunjung Lee - RP4CameraWaverover-based Automotive Control

  • Youngwon Jeon - Quest-based VR + Leap Motion Cooperative Metaverse

  • Jaehun Kim - Automatic YOLOv8 Weapon Aiming Systems

2023.12-2024.02

Undergraduate Student Research Internship (12th)

  • Hyunjung Lee - RP4CameraWaverover-based Automotive Control

  • Mingyu Jang - SIMD Accelerator for AI-based Pipelined Processors

  • Youngwon Jeon - Quest-based VR + Leap Motion Cooperative Metaverse

  • Minjung Kim - Lazy Evaluation-based Energy Efficient Task Scheduling

  • Gihyun Jeon - Memory Access Patterns-Aware Scratch Pad Memory Optimization

2023.07-2022.12

Undergraduate Student Research Internship (11th)

  • Minjung Kim - Context Switching Overhead Reduction using Pre-estimated Compression for Ultra Lightweighted Embedded Systems

  • Gihyun Jeon - Verilog-C-Matlab Interoperable Simulation for Ternary ADC

  • Yujeong Son - Low-Power Processors with Instruction Compression Unit for Reducing Code Memory

2022.01-2022.08

Undergraduate Student Research Internship (10th)

  • Seunghyun Park - MIPS Processor with Parallel Accelerator for Fast LiDAR Signal Processing

  • Nayoung Kwon - Timing Optimization using Tree Data Structure Visualization

  • Hyejoo Kim - VR-based Interoperation of Heterogeneous-Things Models

2021.11-2021.12

Undergraduate Student Research Internship (9th)

  • Soeun Park - Bus Track Optimization and Decision Platform

  • Juyeon Park - MIPS Processor with MAC (Multiply and Accumulation) Instructions

  • Daeheun Yun - MediaPipe-based Finger Displacement Detection

  • Seunghyun Park - MIPS Processor with Parallel Accelerator for Fast LiDAR Signal Processing

  • Nayoung Kwon - Timing Optimization using Tree Data Structure Visualization

2021.9-2021.12

Undergraduate Student Research Internship (8th)

  • Mingi Cho - Lightweight OS-like Layer for Virtualization of Multi Processes Execution

  • Nayoung Kwon - Timing Optimization using Tree Data Structure Visualization

2021.9-2021.10

Multidisciplinary Collaboration (7th)

  • Hyejoo Kim - SoundAPI Implementation for Voice-Triggered On-Demand Services

  • Jimin Kwon - Python-based Big Data Analysis and Visualization

  • Junseo Jang - Event-Driven Activity Recognition by Learning Event-Time Relationship

  • Dogeun Kim - Processing-based Real World Principle Visualization

2021.7-2021.8

Undergraduate students are exploring the AI-Embedded System-Software platform. (6th)

  • Nayoung Kwon - MIPS Processor Design using MATLAB/Simulink and LogiSim

  • Hyodong Kim - Class-D Amplifier Circuit Design for Active Noise Canceller

  • Youngjun Song - Jetson-based AI Applications Implementation

2021.7-2022-08

Remnant AI-Related Special Session (5th)

  • Hyejoo Kim (KNU)

  • Jimin Kwon (B.S. Univ.)

  • Seungjin Kim (K.I. Univ.)

  • Shinyoung Lee (D.G. Univ.)

  • Heeyoun Ko (KNU)

  • Dogeun Kim (KNU)

  • Seungwook Cho (Y.J. Coll.)

2021.3-2021.12

2nd Grade Students in Daegu Science High Schools are exploring the AI-Embedded System-Software platform.

  • Kyunggap Noh - ECG Signal Processing for Digital-Doctor Diagnosis

  • Jinkyung Bae - Biomedical Diagnosis Modeling & Simulation

  • Minsoo Kwak - AI Learning Platform for Intelligent Doctor-less Diagnosis

2021.1-2020.2

Undergraduate students are exploring the AI-Embedded System-Software platform. (4th)

  • Dongkyu Jeong - LADAR Sensor Signal Processing

  • Heegee Youn - Object Detection in Low-Power Embedded Processors

  • Dayeun Hur - Smart City Big Data Processing

  • Haewon Lee - Speech Signal Processing using Python

  • Gaeun Shin - AI Smart Speaker using Voice Control

  • Bohyun Seok - Controlling Drone using Finger Detection

2020.11-2020.12

Undergraduate students are exploring the AI-Embedded System-Software platform. (3th)

  • Dongkyu Jeong - Low-Power Full-Custom Embedded System Implementation

  • Heegee Youn - AI-Embedded System Software for Autonomous Car Platform using Nvidia Jetson Nano

  • Dayeun Hur - System-on-Chip Physical Simulator based on Node.js

  • Jeongin Hur - AI Chat-bot Cloud System Implementation

2020.09-2020.10

Undergraduate students are exploring the AI-related platform. (2nd)

  • Bohyun Seok - Controlling Drone using Finger Recognition

  • Dongkyu Jeong - Firmware Programming for Raspberry PI

  • Heegee Youn - Nvidia Jetson Nano-based Learning Platform

  • Min Gi Cho - Object Detection based on YOLO

  • Nan-Yi Lee - Qflow-based Digital Circuit Synthesis Flow

  • Dayeun Hue - Node.js-based Asynchronous Web Platform

2020.07-2020.08

Undergraduate students have experienced using Leapmotion, Arduino, Temperature Sensors, Ubitech Alpha-mini, Robomaster S1, Verilog Simulator. (1st)

  • Bohyun Seok - Contactless Touch using Finger Recognition

  • Dongkyu Kim - Contactless Human Temperature Check and Talk Response using Alpha-Mini Robot via Clova AI

  • Hyunho Ha - Python Programming for Robomaster S1-based Autonomous Algorithm

  • Yaeyeun Park - Summarizing Verilog Language

2020.04-2020.12

Daegu Science High School Special Session

  • Jongheon Baek - ARM Cortex-M Embedded System Software

  • Jiwoong Jung - Model-Driven System Design

  • Minsung Kim - Firmware Simulation and Validation

2019.03-2020.11

Daegu Science High School Special Session

  • Juneseo Chang - Deep Learning Model Design for Event-Driven Activity Monitoring

  • Boguk Kim - System Implementation of Embedded Systems

  • Changil Mun - Validation and Verification of AI-Driven Systems

  • Dohyun Lee - Model Design for AI-related Systems