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인공지능 산업응용연구소

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Safety & Security

안전모 착용 여부 탐지

네트워크 로그 기반 침입 탐지

Classification & Detection for Physical AI

비전 기반 용접검사

비전 기반 조류 탐지 (조류독감 예방을 위한 조류 침입 탐지)

유틸리티

재활용품 분리 Helper (비전기반 분류 및 Location 기반 안내)

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MCP 서버 기반 멀티에이전트 협업

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MCP 서버 기반 멀티에이전트 협업

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Model Context Protocol을 활용한 멀티에이전트 시스템 설계·구현·운영 완벽 가이드

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AI Agent 개발 완전 정복: 이론부터 실전 구축까지

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AI Agent 개발 완전 정복: 이론부터 실전 구축까지

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대상 독자: LLM(Large Language Model)의 기본 개념을 이해하고 있는 개발자 및 엔지니어

목표: AI Agent의 이론적 토대부터 실무 개발, 배포·운영, 최신 트렌드까지 단계별로 학습

실습 환경: Python 3.11+, LangChain 0.3.x, LangGraph 0.2.x 기준

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초급 파이썬 프로그래밍 (Beginner Python Programming)

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초급 파이썬 프로그래밍 (Beginner Python Programming)

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총 15개 챕터 | 46개 절 | 138개 소절

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대학생을 위한 Pandas 데이터 분석 (초중급)

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대학생을 위한 Pandas 데이터 분석 (초중급)

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대상: 대학생 (Python 기초 지식 보유)

수준: 초급 → 중급

구성 원칙: 각 챕터는 개념 설명 → 문법/코드 예시 → 실습 3단계 구조

난이도 구분: Part 1~4 (초급) | Part 5~7 (중급) | Part 8 (종합 응용)

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IT융합통신공학과 홈페이지: https://www.kunsan.ac.kr/radio/index.kunsan

1학년: 컴퓨터소프트웨어특성화대학과 교과과정 공유

https://www.kunsan.ac.kr/ssw/index.kunsan

2학년부터 학생 본인이 전공 선택

통신계열 (전기/전자/통신/컴퓨터 계열 중)

IT (SW, Information)는 공통사항

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Funded by Connexo

Research and Development Schedule

~ 2025.12: Incubating

Feasibility review

2026.01 ~ : Development

Target Field

Life Science Digital Solution

Technical keyword

AI Agent

LangGraph, LangChain

RAG(Retrieval-Augmented Generation)

MCP (Model Context Protocol)

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[Terminated] Hosting Collaborative Research (공동연구, 주관)

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[Terminated] Hosting Collaborative Research (공동연구, 주관)

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Funded by Ministry of SMEs and Startups (중소벤처기업부)

2025.05 - 2025.12

과제명 (Title)

3D 스캔과 머신비전을 활용한 용접부 결함 검출 자동화 시스템 개발

Technology

Anomaly detection (by Data Analysis)

Multi-classification (by Vision Technology)

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알티스트(Reliable & Trustworty)

실시간 운영체제(RTWORKS)와 임베디드 리눅스(RTST Linux), 그리고 관련 시스템 소프트웨어를 무기체계, 항공, 철도, 원자력, 자동차 등 높은 신뢰성이 요구되는 산업 영역에 공급하는 시스템 소프트웨어 전문 기업

나을텍(NaeulTech)

CCTV 환경에서 소리/영상 처리 기술을 이용하여 사용자의 움직임을 검출하고 위험상황을 인지하는 시스템 개발 및 영상, 음성, 센서 융합 기반의 인터페이스 시스템 개발 기업

Connexo

Established in 2009, Connexo is a leading provider of technical solutions and consulting services specializing in digital transformation for the life sciences industry.

케이쓰리소프트 (startup)

지능형 자동화 및 통신 소프트웨어 전문 신생 기업

두이엔지(Dooeng)

Business 로봇&자동화 시스템 전문 기업

한국전자통신연구원(ETRI)

ETRI makes contribution to the nation’s economic and social development through research, development and distribution of industrial core technologies in the field of Information, Communications, Electronics, Broadcasting and Convergence technologies.

국방과학연구소(ADD)

Proudly serving our nation with vigilant defense in all domains of air, sea and land through advanced defense science and technology (S&T)

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https://padlet.com/milaboratory2017/dancing-with-data-since-2024-qpsc5wlzfyfi9g4t

스터디 그룹을 모집합니다.

인문과 기술이 만나는 교차점을 지향합니다.

Recruit study groups

aimed at the intersection of the humanities and technology

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Recruiting foreigners (외국인)

GKS (Global Korea Scholarship), https://www.studyinkorea.go.kr/

Domestic (내국인)

https://www.kunsan.ac.kr/index.kunsan?menuCd=DOM_000000101002000000&sso=ok

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Google

https://scholar.google.co.kr/scholar?hl=ko&as_sdt=0%2C5&q=Kyuchang+Kang&btnG=

DBpia

https://www.dbpia.co.kr/search/topSearch?searchOption=all&query=%EA%B0%95%EA%B7%9C%EC%B0%BD

ResearchGate

https://www.researchgate.net/profile/Kyuchang-Kang/research

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Funded by National Research Foundation of Korea

Expected Project Title

A study on a neural network model that mimics the human online learning process

Related Technologies

HTM(Hierarchical temporal memory), sequence learning, representation learning

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Financial support is determined according to the percentage of participation in the project.

The amount of financial support is proportional to the project budget.

Currently, the project is underway according to the size of the available researchers.

As the number of people in the MI lab. increases, the project size is adjusted to accommodate the growing number of people.

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Funded by National Research Foundation of Korea

Duration: from 2018.06 to 2021.05

Project Title

Spatio-temporal Information Classification and Inference based on Hierarchical Temporal Memory supporting Continuous Online Sequence Learning

Related Technologies

HTM(Hierarchical temporal memory), sequence learning, representation learning

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2017.04 ~ present

Associate Professor in Kunsan National University (국립군산대학교)

https://www.kunsan.ac.kr/

2001.03 ~ 2017.03

Research staff

Electronics and Telecommunications Research Institute (한국전자통신연구원)

https://www.etri.re.kr/kor/main/main.etri#

Research Topics

Visual Intelligence Technology Development (Deep View Project, Behavioral/Action Recognition)

Mobile healthcare platform development (watch-type wearable healthcare devices)

Virtualization Technology Development (Subsystem Virtualization)

Home Server Platform Development

Component SW Platform (OSGi) Development

1997.02 ~ 2001.02

Research staff

Agency for Defense Development (국방과학연구소)

https://www.add.re.kr/kps

Research Topics

Development of radar signal processing system

Developing image recognition-based measurement systems

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This page link: QR code (https://bit.ly/3wQHBfH)

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This page link: QR code (https://bit.ly/3wQHBfH)

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https://bit.ly/3wQHBfH

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Office

+82-63-469-4853

(063-469-4853)

Email (preferred contact method)

kc.kang@kunsan.ac.kr

Location

공과대학 3호관 - 13510호실

College of Engineering Building 3 - Room 13510

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[Terminated] Collaborative Research with Startup (협업연구)

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[Terminated] Collaborative Research with Startup (협업연구)

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Funded by Chungbuk Center for Creative Economy and Innovation

Duration: from 2022.06 to 2022.12

Project

Title: Automatically detect Diagnostic Kit results

Hosting:  DATTAM

Joint Research by MI Lab.

Image classification by

Mobile application development

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[Terminated] Hosting Consignment Research (위탁연구, 주관)

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[Terminated] Hosting Consignment Research (위탁연구, 주관)

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Funded by ETRI

Duration: from 2022.06 to 2025.12

Project Title

Research on user behavior/activity indicator analysis techniques for anomaly detection

Related Technologies

Anomaly detection, spatiotemporal feature engineering, representation learning, transformer architecture (BERT variants)

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[Terminated] Participating in Consignment Research (위탁연구, 참여)

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[Terminated] Participating in Consignment Research (위탁연구, 참여)

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Funded by ETRI

Duration: from 2020 to 2025

Project

Title: Implement a human-mimicking memory mechanism

Hosting: Daejeon University

Joint Research by MI Lab.

Sensory Memory

Working Memory (short-term memory)

Long-term Memory

New neural model

Related Technologies

Representational learning (autoencoder – VAE, Convolutional autoencoder, sparse autoencoder)

HTM (Hierarchical Temporal Memory)

Zero-shot Learning

New neural network model

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Funded by Korea Industrial Complex Corporation

Duration: from 2022.04 to 2023.03

Project

Title: Developing 3D scanner metrology automation technology

Hosting:  DOOENG CO Ltd.

Joint Research by MI Lab.

Image recognition of scanned objects

Detect Meter Report Anomalies

Related Technologies

Image Classification by Deep Neural Model

Anomaly detection in measurement data

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I am looking for master's and doctoral candidates, and postdoctoral researchers who are interested in deep learning.

Technical keyword (Highlight: recruiting research engineer in projects)

AI Agent

LangGraph, LangChain

RAG(Retrieval-Augmented Generation)

MCP (Model Context Protocol)

Transformer architecture and variants (BERT, GPT evolution)

Machine Vision and Vision Transformer

Autoencoder, VAE, etc

New neural network architecture inspired by brain cognitive system.

Application Area

AI Agent, Bigdata data pre-processing, category classification, feature clustering, anomaly detection, and multi-modal data fusion.

Monetary support varies based on the participation rate of the assignment