PRML 연구실 학석통합과정, 석사과정 및 박사과정 신입생을 모집합니다.

PRML 연구실에서는 다양한 AI-X 연구과제를 수행하며 많은 인공지능 최신 경험을 바탕으로 인공지능 전문가가 되는것을 목표로 합니다. 주 연구분야인 인공지능기반 이상탐지(AI-based Anomaly Detection) 및 인공지능기반 신호처리 (AI-based Signal Processing)는 대부분의 산업분야에 기초가되는 기술로서, 향후 연구분야 및 진로가 매우 다양합니다.

대학원 등록금 100% 및 추가 연구보조금을 지원하며 연구성과에따른 성과수당 또한 지급합니다. PRML 연구실에서는 학회 출장 및 논문 작성을 적극 지원 합니다. 관심있는 분들은 이메일로 연락 바랍니다 (cchun@sejong.ac.kr).

❚ About PRML

Welcome to the Pattern Recognition and

Machine Learning (PRML) in the Department of Artificial Intelligence at

Sejong University, South Korea.

Research

at PRML aims to develop innovative algorithms, protocols, and methodologies

based on artificial intelligence (machine learning, deep learning) as well as

applications in signal processing, industrial systems, and related areas.

❚ Research Areas

Pattern Recognition and Machine Learning

- Anomaly Detection

- Predictive Maintenance (PdM)

- eXplainable AI (XAI)

Pattern recognition analyzes incoming data and tries to identify patterns. While explorative pattern recognition aims to identify data patterns in general, descriptive pattern recognition starts categorizing the detected patterns. Hence, pattern recognition deals with both of these scenarios, and different pattern recognition methods are applied depending on the use case and form of data.

Deep Learning-Based Signal Processing

- Time Series Analysis

- Communications Signal Processing

- Energy Harvesting

Signal Processing encapsulates our daily lives without any of us even knowing. Computers, radios, videos, mobile phones are all enabled by signal processing. Signal Processing is a branch of electrical engineering that models and analyzes data representations of physical events. It is at the core of the digital world. Speech and audio, autonomous driving, image processing, wearable technology, and communication systems all work thanks to signal processing. And now, signal processing is starting to make some waves in deep learning.

❚ Contact

Prof: 전창재 Changjae Jeon

Office: Room 505, Daeyang AI Center

Tel.: 02-3408-3237

E-mail: cchun@sejong.ac.kr

Homepage: https://sites.google.com/view/aiotl