Seung Gyu Jeong

Research Scientist
Department of AI, Seoul National University of Science and Technology
134-5, Dongil-ro 173ga-gil, Nowon-gu, Seoul, Republic of Korea

Email: wa3229433@gmail.com
Google Scholar | Github | LinkedIn

Education

• Ph.D. in Department of Artificial Intelligence, SEOULTECH (Mar. 2026 ~ Present)
• M.S. in Department of Artificial Intelligence, SEOULTECH (Mar. 2024 ~ Feb. 2026)
• B.S. in Department of Electronic Engineering, SEOULTECH (Mar. 2017 ~ Feb. 2024)

Publications

CHI 2026 - Reading the Mood Behind Words: Integrating Prosody-Derived Emotional Context into Socially Responsive VR Agents (SY Jeong, YS Na, SG Jeong, JW Jeong, SE Kim)

ICASSP 2026 - PC-MCL: Patient-Consistent Multi-Cycle Learning With Multi-Label Bias Correction for Respiratory Sound Classification (SG Jeong, SE Kim)

INTERSPEECH 2025 - Patient-Aware Feature Alignment for Robust Lung Sound Classification: Cohesion-Separation and Global Alignment Losses (SG Jeong, SE Kim)

CHI 2025 - iMedic: Towards Smartphone-based Self-Auscultation Tool for AI-Powered Pediatric Respiratory Assessment (SG Jeong, SW Nam, SK Jung, SE Kim)

DCASE 2025 Task 1 (arXiv) - Adaptive Knowledge Distillation using a Device-Aware Teacher for Low-Complexity Acoustic Scene Classification (SG Jeong, SE Kim)

ITC-CSCC 2024 - Patient Domain Supervised Contrastive Learning for Lung Sound Classification Using Mobile Phone (SG Jeong, SE Kim)

한국전기전자학회 학술대회, 2025 (우수논문상) - 오디오 분리 기법을 이용한 스마트폰 기반 폐음 분류의 소음강건성 향상 연구 (정승규, 김성은)

한국통신학회 학술대회논문집, 2025 - CRNN 기반 사운드 이벤트 검출을 통한 스마트 양봉 위험 관리 시스템 (정승규, 김성은)

전자공학회지, 53-62, 2025 - 차세대 뉴로모픽 컴퓨팅의 핵심, 스파이킹 뉴럴 네트워크: 최신 모델 연구 동향 (임진교, 정승규, 김성은)

한국통신학회 학술대회논문집, 2023 - Audio Spectrogram Transformer를 이용한 폐음 기반 호흡기 질환 분류에 관한 연구 (정승규, 김성은)

Patents

• 이동 단말기 기반의 폐음 분류 방법 및 시스템

Research Experience

• CTO at Medisensing (May 2024 ~ Present)

Research Project

• [Medisensing] iMedic Development (May 2024 ~ Dec. 2024)

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