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학과소개

교수

  • 부교수 빅데이터처리&자연어처리&인공지능
  • 오하영 홈페이지 바로가기

관심분야

인공지능융합, 디지털치료기기, 추천시스템, 멀티모달 데이터처리

학력

  • 서울대학교 컴퓨터공학과 (Ph.D)

약력/경력

  • 숭실대학교 조교수(2013.09-2016.08), 아주대학교 조교수(2016.09-2020.02), U.C.Berkeley 방문연구원(2010.04-2010.10)

학술지 논문

  • (2026)  Clinically validated depression dataset aligned with DSM-5 criteria for major depressive disorder (MDD).  EXPERT SYSTEMS WITH APPLICATIONS.  296,  C
  • (2025)  Randomised controlled trial of VR-based observation meditation with AI coaching (‘Otti’) for stress reduction in university students in the United States: study protocol.  BMJ OPEN.  15,  10
  • (2025)  Panic Attack Prediction for Patients With Panic Disorder via Machine Learning and Wearable Electrocardiography Monitoring: Model Development and Validation Study.  JOURNAL OF MEDICAL INTERNET RESEARCH.  27,  1
  • (2025)  TSA-GA Net: A Dual Attention Mechanism for Predicting Real Estate Transaction Prices.  HELIYON.  296,  C
  • (2025)  GPT-Empowered Question–Answer Dataset for Informative and Empathetic Support for Korean Childhood Cancer Survivors.  EXPERT SYSTEMS WITH APPLICATIONS.  296,  C
  • (2025)  Associations of green space visitation patterns with sociodemographics, health, and perceptions: A cluster analysis using smartphone Wi-Fi and GPS data.  PLOS ONE.  20,  6
  • (2025)  MBCT-Game: An Ironic Way to Treat Internet Gaming Disorder.  JOURNAL OF MEDICAL INTERNET RESEARCH.  27,  1
  • (2024)  Probability-Based Multi-Label Classification Considering Correlation Between Labels— Focusing on DSM-5 Depressive Disorder Diagnostic Criteria.  IEEE ACCESS.  12, 
  • (2024)  게임 과몰입 청소년의 충동성 완화를 위한 생성형 AI 활용 게임 기반 디지털 치료제 구현 방법론.  한국정보통신학회논문지.  28,  4
  • (2024)  디지털휴먼과 예측모델을 이용한 자살방지 디지털 치료제 구현에 관한 연구.  한국정보통신학회논문지.  28,  4
  • (2023)  Dynamic Automated Labeling System for Real-Time User Intention Analysis.  IEEE ACCESS.  11,  1
  • (2023)  Topic Modeling-Based Framework for Extracting Marketing Information From E-Commerce Reviews.  IEEE ACCESS.  11,  1
  • (2023)  Methodology of Labeling According to 9 Criteria of DSM-5.  APPLIED SCIENCES-BASEL.  13,  18
  • (2023)  Marketing Insights from Reviews Using Topic Modeling with BERTopic and Deep Clustering Network.  APPLIED SCIENCES-BASEL.  13,  16
  • (2023)  Depression Emotion Multi-Label Classification Using Everytime Platform With DSM-5 Diagnostic Criteria.  IEEE ACCESS.  11,  1
  • (2023)  Which Influencers Can Maximize PCR of E-Commerce?.  ELECTRONICS.  12,  12
  • (2023)  멀티모달 딥러닝을 이용한 우울증 진단 모델.  한국정보통신학회논문지.  27,  5
  • (2023)  우울 증상 완화를 위한 공감형 챗봇 개발에 관한 연구.  한국정보통신학회논문지.  27,  5
  • (2023)  Are You Depressed? Analyze User Utterances to Detect Depressive Emotions Using DistilBERT.  APPLIED SCIENCES-BASEL.  13,  10
  • (2023)  AI-Based Degradation Index from the Microstructure Image and Life Prediction Models Based on Bayesian Inference.  SUSTAINABILITY.  15,  9

학술회의논문

  • (2026)  Does Mindfulness-Based Cognitive Therapy Reduce Gaming Disorder Among College Students?.  SSWR 2026.  미국
  • (2026)  Utilizing Photovoice to Explore the Lived Experiences and Impacts of Internet Gaming Addiction among Young Adults in South Korea.  SSWR 2026.  미국
  • (2025)  MindfulBreath: Every Breath You Take, Every Mind You Wake.  ACM International Joint Conference on Pervasive and Ubiquitous Computing.  핀란드
  • (2025)  Persona Drift for Adaptive Flow in Stage-Aware CBT Chatbots.  ACM International Joint Conference on Pervasive and Ubiquitous Computing.  핀란드
  • (2025)  SHIFT:LLM-powered If-Then feedback tracker for short-form video self-regulation.  ACM Symposium on User Interface Software and Technology.  대한민국
  • (2025)  A Photovoice Study on Male Youths Recovering from Gambling Addiction in South Korea..  American Psychological Association (APA).  미국
  • (2025)  Lived Experiences of Young Adults Recovering from Substance Use: A Photovoice Study in South Korea..  American Psychological Association (APA).  미국
  • (2025)  FinTab-LLaVA: Finance Domain-Specific Table Understanding Multimodal LLM Using FinTMD.  Pacific-Asia Conference on Knowledge Discovery and Data Mining.  오스트레일리아
  • (2025)  Identifying Inquiries for an Artificial Intelligence-Based Informatic Chatbot Among Young Adult Survivors of Childhood Cancer Using a Topic Modeling Approach.  SSWR 2025.  미국
  • (2024)  MILD Bot: Multidisciplinary Childhood Cancer Survivor Question-Answering Bot.  Empirical Methods in Natural Language Processing.  미국
  • (2024)  MOTIVATION AND BENEFITS OF USING ARTIFICIAL INTELLIGENCE-BASED CHATBOTS AMONG YOUNG ADULT SURVIVORS OF CHILDHOOD CANCER.  SIOP.  미국
  • (2023)  Can a chatbot be useful in childhood cancer survivorship? Development of a chatbot for survivors of childhood cancer.  ACM Conference on Information and Knowledge Management.  영국