Deep Learning based Multi-Defect Detection scheme in Wafer using Graph Neural Network.

• 최지환, 김미선, 이하림, "다중 결함 인지 손실 함수 및 머신러닝 기반 웨이퍼 결함 종류 검파 기법 연구," 한국통신학회, 2022.

• 김미선, 최지환, 이하림, "웨이퍼 맵의 다중 패턴 인지를 위한 벡터 표현 기반 캡슐네트워크 구현", 한국통신학회 논문지, Excellent Paper Selection, 2023.

Recognition of Traffic Lights using Multi-level Features with Ratio-preserving Zero Padding.

• J. Choi and H. Lee, "Real-Time Traffic Light Recognition with Lightweight State Recognition and Ratio-Preserving Zero Padding," Electronics, 2024. 

Camera-Invariant Domain Adaptation for autonomous driving.

Predicting antenna performance of autonomous driving sensors, LG Aimers, 2022, DACON (upper 6%)

Samsung AI Challenge (3D Metrology), 2022, DACON

Jeju Traffic Forecast, 2022, DACON

Deep Learning based Multi-Defect Detection scheme in Wafer using Attention Module and GAIN

• 최지환, 김미선, 이하림, "다중 결함 인지 손실 함수 및 머신러닝 기반 웨이퍼 결함 종류 검파 기법 연구," 한국통신학회, 2022.

Vector-representation based Pattern Recognition using Capsule Network

• 김미선, 최지환, 이하림, "웨이퍼 맵의 다중 패턴 인지를 위한 벡터 표현 기반 캡슐네트워크 구현", 한국통신학회 논문지, Excellent Paper Selection, 2023.

Development of Thickness Prediction System.

Predicting antenna performance of autonomous driving sensors, LG Aimers, 2022, DACON (upper 6%)

Samsung AI Challenge (3D Metrology), 2022, DACON

Design of AI Hardware Accelerator of Various Deep Neural Networks using Verilog HDL.

• [Basic Fully-connected Network] 서정윤, 이종윤, 박성준, 이하림, "Implementation and Evaluation of fully-connected network on Hardware using Verilog HDL," 한국정보기술학회 하계학술대회, 2024.

• [Lightweight Fully-connected Network][Quantization][LRA] J. Y. Seo, J. Y. Lee, H. Lee, "Design of Lightweight Fully-connected Network in Hardware using Learning-based Low-rank Approximation and Quantization Techniques," in submission to Special Issue of The Transactions of the Korean Institute of Electrical Engineering.

• [Full-connected Layer] J. Y. Lee, J. Y. Seo, S. J. Park, H. Lee, and Y. H. Lee, "Hardware Accelerator for Real-time Image Classification," The 2024 International Conference on Computational Science and Computational Intelligence (CSCI), Las Vegas, USA, Dec. 11-13, 2024 [Scopus].

• [CNN] J. Y. Lee, J. Y. Seo, S. J. Park, H. Lee*, "Design of Hardware Accelerator of Convolution Layer using Verilog HDL," in preparation for The Transactions of the Korean Institute of Electrical Engineers (KIEE) [Scopus].

H/W oriented Activation Function effectively to reduce the required number of bits for feature maps generated between Neural Layers.

• Research grant for master's degree students, National Research Foundation of Korea, 2024 (link) (link).

• [Learnable Activation Function with limited upper and lower values] "Development of a learnable activation function for optimal upper and lower values to reduce the required number of bits on memory and bus interface", in preparation for the submission of a domestic conference or an international journal

Development of Various Intelligent Systems using Various Deep Learning Networks.

• FATHER: Finding and Tracking Hidden pERson with Object Detection and Face Similarity.

  1. 서정윤, 박성준, 이하림, "Implementation of Deep-learning based Specific Person Identification System using Facial Similarity," 한국통신학회 동계학술대회, 2024.

• Implementation of Real-time Semantic Segmentation System on Embedded Computer for Autonomous Vehicle

  1. [Preparation] 박성준, 서정윤, 이하림, "Something to implement a system," in preparation.

• R²Sys-FTCP: Recognition and Recommendation System for Fitness Exercise Types and Correct Posture.

Intelligent High-precision GPS scheme using Deep Learning, 2022, Campus Patent Universiade.

Samsung AI Challenge (3D Metrology), 2022, DACON.

Research grant for master's degree students, National Research Foundation of Korea, 2024 (12 million won) (link) (link).

Campus Patent Universiade, "Intelligent High-precision GPS scheme using Deep Learning", Encouragement Prize, 2022 (link).

단말기 중심 위치 측위를 위한 딥러닝 네트워크 기반 오차 보정 정보 생성 기법

Real-time Segmentation System for Autonomous Driving Vehicle

• 박성준, 이하림, "Performance Evaluation of Fully Convolutional Network for Autonomous Driving with the Latest Car Daytime Road Data," 한국정보기술학회 하계학술대회, 2024.

• [Preparation] 박성준, 서정윤, 이하림, "Something to implement a system," in preparation.

Design of ConvTransopose2D layer for Generative AI.

• [Full-connected Layer] J. Y. Lee, J. Y. Seo, S. J. Park, H. Lee, and Y. H. Lee, "Hardware Accelerator for Real-time Image Classification," The 2024 International Conference on Computational Science and Computational Intelligence (CSCI), Las Vegas, USA, Dec. 11-13, 2024 [Scopus].

• [Basic Fully-connected Network] 서정윤, 이종윤, 박성준, 이하림, "Implementation and Evaluation of fully-connected network on Hardware using Verilog HDL," 한국정보기술학회 하계학술대회, 2024.

• [CNN] J. Y. Lee, J. Y. Seo, S. J. Park, H. Lee*, "Design of Hardware Accelerator of Convolution Layer using Verilog HDL," in preparation for The Transactions of the Korean Institute of Electrical Engineers (KIEE) [Scopus].

• [Preparation] 박성준, 이하림, "Design of Transposed Convolution Layer for Generative AI", in preparation.

Predicting antenna performance of autonomous driving sensors, LG Aimers, 2022, DACON (upper 6%).

FATHER: Finding and Tracking Hidden pERson with Object Detection and Face Similarity.

1. 서정윤, 박성준, 이하림, "Implementation of Deep-learning based Specific Person Identification System using Facial Similarity," 한국통신학회 동계학술대회, 2024.

2. [국내 저널 준비중] Implementing one of the latest object detection networks, YOLOv6 and a convolutional block attention module, CBAM.

Design of AI Hardware Inference using Verilog HDL.

• [Full-connected Layer]서정윤, 이종윤, 박성준, 이하림, "Implementation and Evaluation of fully-connected network on Hardware using Verilog HDL," 한국정보기술학회 하계학술대회, 2024.

• [Full-connected Layer] J. Y. Lee, J. Y. Seo, S. J. Park, H. Lee, and Y. H. Lee, "Hardware Accelerator for Real-time Image Classification," The 2024 International Conference on Computational Science and Computational Intelligence (CSCI), Las Vegas, USA, Dec. 11-13, 2024 [Scopus].

• [Lightweight Fully-connected Network][Quantization][LRA] J. Y. Seo, J. Y. Lee, H. Lee, "Design of Lightweight Fully-connected Network in Hardware using Learning-based Low-rank Approximation and Quantization Techniques," in submission to Special Issue of The Transactions of the Korean Institute of Electrical Engineering [Scopus].

• [CNN] J. Y. Lee, J. Y. Suh, S. J. Park, H. Lee*, "Design of Hardware Accelerator of Convolution Layer using Verilog HDL," in preparation for The Transactions of the Korean Institute of Electrical Engineers (KIEE) [Scopus].

Design of AI Hardware Inference on FPGA.

Development of Document Summary System using Large-Language Model and Camera Sensor.

• Programming skill set: Python, PyTorch, C++

• Deep Learning Networks: Transformer, BERT, GPT, KoBART, etc.

Samsung AI Challenge (3D Metrology), 2022, DACON.

Patent Trend Analysis of Natural Language based Generative AI and Establishing a Patent Strategy to alleviate Hallucination, 2023, Campus Patent Universiade.

Campus Patent Universiade, "Natural Language Model based Generative AI", Excellence Prize, 2023 (link).