jeonginseo

Jeongin Seo

AI/ML Researcher and Engineer

Email: jeonginseo at snu dot ac dot kr

Work Experience

Research Associate, Weather and Climate Dynamics Lab., SEES, Seoul National University (Aug 2025 - Present)

Research on AI renewable energy forecasts

Team Leader, AI/Statistics Team, BIOLINK Inc. (Jan 2024 - Jul 2025)

AI/ML-based SaMD development using medical images (MRI, CT, CXR) and EHR
Project and team management

Post-Doc. Researcher, AI Computing Lab., ETRI (Nov 2021 - Oct 2023)

Collaborative AI model inference application with task offloading on Kubernetes
Design and develop edge computing service for offering additional resources for low-power devices

Managing Researcher, AI Lab., S-1 Corporation (Dec 2019 - Oct 2021)

Near-IR Face recognition applications on embedded linux, including training and optimizing AI models

Education

Kyungpook National University, Daegu, Korea

Ph.D. Computer Science and Engineering (Jun 2019)

Thesis: Very Low Resolution Object Recognition through Deep Collaborative Learning of Image Enhancement and Classification

M.S. Electric Engineering and Computer Science (Dec 2012)

Thesis: A Face Recognition System Robust to 2D Variations

B.A. Electric Engineering and Computer Science (Jun 2010)

Korea National Open University, Korea

B.A, Department of Agricultural Science (Jun 2025)

B.A. Department of Law (Dec 2022)

Awards

Best Paper Award, Avionics Systems Symposium Korea 2022

Title: lightweight-Encoder for Real-time Offloading in a Low Specification UAV

Best Paper in Artificial Intelligence, 2017 Korea Computer Congress

Title: Object Recognition in Low Resolution Images using Convolutional Neural Network and Image Enhancement Network

1st Prize, Best Paper in Artificial Intelligence, 2014 Korea Computer Congress

Title: Detection of Faces with Partial Occlusions using Statistical Face Model

Publications

Journal Papers

J. Seo, H. Park (2019). Object Recognition in Very Low Resolution Images using Deep Collaborative Learning, IEEE Access
C. Hyun, J. Seo, K. Lee, H. Park (2019). Multi-Attribute Recognition of Facial Images Considering Exclusive and Correlated Relationship Among Attributes, Applied Sciences, 9(10), 2034
I. Choi, J. Seo, H. Park (2018). Object Recognition in Low Resolution Images using a Convolutional Neural Network and an Image Enhancement Network, Journal of KIISE, Vol.45(8), pp.831-837, 2018.08 (in Korean)
J. Seo, H. Park (2014). Detection of Faces with Partial Occlusions using Statistical Face Model, Journal of KIISE, Vol.41(11), pp.921-926, 2014.11 (in Korean)
J. Seo, H. Park (2013). Robust Recognition of Face with Partial Variations Using Local Features and Statistical Learning, Neurocomputing, Vol.129, pp. 41-48, 2014.04

Conference Presentations

N. Kwon, J. Seo et al. (2024). Development of an Artificial Intelligence Model for Automatic Segmentation of the Nasogastric Tube on Chest radiography, 2024 KOSMI Fall Conference, Yeosu, Korea, Nov. 2024 (in Korean)
J. Seo, et al. (2022). The method for enhancing inference performance of DNN models on mobile device through dynamic multi-point offloading, KSC 2022, Jeju, Korea, Dec. 2022 (in Korean)
D. Ko, J. Seo et al. (2022). A Research on Resource Augmentation Method for IoT Devices in Edge Environment, KSC 2022, Jeju, Korea, Dec. 2022 (in Korean)
J. Seok et al. (2022). Building an Edge-Computing Environment Based on Kubernetes Using KubeEdge, KICS 2022, Gyeongjiu, Korea (in Korean)
G. Na, et al. (2022). The Deviceless Computing Framework for Augment Computing in EdgeCPS System, IEMEC 2022, Jeju, Korea (in Korean)
S. Ha, et al. (2022). lightweight-Encoder for Real-time Offloading in a Low Specification UAV, ASSK 2022, Busan, Korea (in Korean)
J. Seo, H. Mun, H. Park (2019). Very Low Resolution Object Recognition through Deep Collaborative Learning of Image Enhancement and Classification, The AI KOREA 2019, Seoul, Korea, Jul. 2019 (in Korean)
J. Seo, H. Park (2018). Object Detection and Recognition Framework for Low Resolution Images with Image Quality Discrimination, Brain and AI symposium 2018, Feb. 2018 (in Korean)
I. Choi, J. Seo, H. Park (2017). Object Recognition in Low Resolution Images using Convolutional Neural Network and Image Enhancement Network, Korea Computer Congress 2017, Jeju, Korea, Dec. 2017 (in Korean)
J. Choi, J. Seo. H. Park (2017). Content-Based Image Selection for Automatic Report Generation, International Conference on Culture Technology 2017, Tokyo, Japan, Dec. 2017
C. Hyun, J. Seo, H. Park (2017). Recognition of Multiple Facial Attributes through Learning of Joint Relationship among Attributes, International Conference on Big data, IoT, and Cloud Computing, Jeju, Korea, Aug. 2017 (in Korean)
J. Seo, I. Choi, H. Park (2017). Object Recognition in Low Resolution Images by Combining Deep Neural Networks, International Conference on Big data, IoT, and Cloud Computing, Jeju, Korea, Aug. 2017 (in Korean)
I. Choi, J. Seo, H. Park (2017). Object Recognition in Low Resolution Image Using Auto-encoder and Convolutional Neural Networks, BESK summer Workshop, Jul. 2017 (in Korean)
J. Choi, J. Seo, H. Park (2017). Image Recommendation for Automatic Report Generation via Image Auto-tagging by Deep Networks, BESK summer Workshop, Jul. 2017 (in Korean)
J. Choi, J. Seo, H. Park (2017). 보고서 주제에 적합한 영상 선택 기술 개발, Korea Computer Congress 2017, Jun. 2017 (in Korean)
I. Choi, J. Seo, H. Park (2017). Object Recognition of Low Resolution Images based on Deep Learning, Korea Computer Congress 2017, Jun. 2017 (in Korean)
C. Hyun, J. Seo, H. Park (2017). Deep multi-task learning for Facial Attribute Recognition Considering mutual relationship between tasks, Brain and AI symposium 2017, Feb. 2017 (in Korean)
J. Seo, H. Park (2017). Detection, alignment, and recognition of partially occluded human face based on statistical learning of local features, International Conference on Machine Learning and Computing 2017, Singapore, Feb. 2017
C. Hyun, J. Seo, H. Park (2016). Effect of Multi-task Learning for Facial Attribute Recognition, Korea Computer Congress 2016, Jun. 2016 (in Korean)
I. Choi, J. Choi, J. Seo, H. Park (2016). Improving Face Recognition Performance through Discrimination of Face Occlusion, BESK summer Workshop 2016, Jeju, Korea. Jun. 2016 (in Korean)
J. Seo, C. Hyun, H. Park (2015). Improving Performance of Facial Expression Recognition using Multi-task Learning of Neural Networks, International Conference on Human-Agent Interaction, Daegu, Korea, Oct. 2015
J. Seo, H. Park (2014). Detection of Faces with Partial Occlusions using Statistical Face Model, Korea Computer Congress 2014, Busan, Korea, Jun. 2014 (in Korean)
H. Choi, J. Seo, H. Park (2014). Matrix Correlation Distance for 2D Image Classification, ACM SAC 2014, Gyeongju, Korea, Mar. 2014
J. Seo, H. Park (2013). Reliable Face Recognition using Feature Selection and Image Rejection based on Probabilistic Face Model, IVCNZ 2013, Wellington, New Zealand, Nov. 2013
J. Kwak, J. Seo, H.Park (2013). Illust.me: An Application Software for Caricature Creation by Facial Feature Analysis, ICONIP 2013, Daegu, Korea, Nov. 2013
J. Seo, H. Park (2013). Feature Selection Method using Probabilistic Face Model, Convergence/Smart/Cloud Computing conference 2013, Daegu, Korea, Oct. 2013 (in Korean)
J. Seo, H. Park (2011). A Robust Face Recognition through Statistical Learning of Local Features, International Conference on Neural Information Processing, Shanghai, China, Nov. 2011

Patents

J. Seo et al. (2022). AI Model Inference Method and Device using Additional Modules (추가 모듈을 이용한 인공지능 모델 추론 방법 및 장치), Applied (10-2022-0108185)
H. Park, J. Seo, I. Choi (2017). Object Recognition Device and Control Method (객체 인식 장치 및 그 제어 방법), Registered (10-1982231)
H. Park, J. Seo (2015). Face Recognition Method and Face Recognition Device (얼굴 인식 방법 및 얼굴 인식 장치), Registered (10-1521136)
H. Park, J. Seo (2014). Face Recognition Device and Face Recognition Method (얼굴 인식 장치 및 얼굴 인식 방법), Registered (10-1402078)
H. Park, J. Seo (2013). Robust Face Recognition Method through Statistical Learning of Local Features (지역적 특징의 통계적 학습을 통한 강건한 얼굴인식방법), Registered (10-1326691)

Activities

Co-Translator

Go 언어 시작하기 (From スタ-ティングGO言語(松尾愛賀)), 홍릉과학출판사, 2018

Conference Paper Reviewer

Korea Computer Congress 2017
Korea Computer Congress 2016

Membership

Hanulso Programming Club, Kyungpook National University (2006 - Present)

Skills & Technologies

Programming Languages: Python, C/C++, MATLAB, Go

AI/ML Frameworks: PyTorch, Scikit-Learn, FLAML

Languages: Korean (Native), Japanese, English

Last updated: Aug 2025