이지항 사진
이지항
  • 학위: 박사
  • 연구실 : (O관)제1교수회관 (O311)
  • 세부전공 : 의사결정, 뇌기반인공지능
이메일
학위
  • 박사, Univ. of Bath Department of Computer Science (세부전공 : Artificial Intelligence), 201506
경력
  • 조교수, 상명대학교, (2020.03~ )
  • 연구조교수, KAIST, (2019.01~2020.02)
  • KI PostDoc Fellow, KAIST, (2017.01~2018.12)
  • Research Associate, University of Bath, UK, (2015.07~2016.08)
  • 책임연구원, 삼성전자 DMC연구소, (2005.12~2010.05)
  • 주임연구원, 한글과컴퓨터 , (2000.11~2005.11)
논문
  • Enhancing Street-Crossing Safety for Visually Impaired Pedestrians with Haptic and Visual Feedback, Applied Sciences, 202504
  • Prefrontal Meta-Control Incorporating Mental Simulation Enhances the Adaptivity of Reinforcement Learning Agents in Dynamic Environments, Frontiers in Computational Neuroscience, 202503
  • Multimodal Guidance for Enhancing Cyclist Road Awareness, Electronics, 202503
  • Enhancing Motor Skills and Coordination With Visual-Haptic Feedback in Ball Sport Training, IEEE ACCESS, 2025
  • Theta power reduction and theta-gamma coupling desynchronization are associated with working memory interference and anxiety symptoms in panic disorder: a retrospective study, BMC PSYCHIATRY, 202412
  • Investigating the Validity of Digital Biomarkers in thePreclinical Screening of Cognitive Normal, Amyloid-β- MCI andAmyloid-β+ MCI, Alzheimers & Dementia, 202412
  • Development and Effectiveness of an AI Chatbot-Based Mobile Cognitive Screening and Customized Training Application for Preventing Dementia: Older Adults Living in Rural Areas of South Korea, Archives of Design Research, 202411
  • Neural Effects of One's Own Voice on Self-Talk for Emotion Regulation, BRAIN SCIENCES, 202407
  • Controlling human causal inference through in silico task design, Cell reports, 202402
  • A Preliminary Feasibility Study on Screening Cognitive Impairment based on Multi‐Modal Biomarkers and Stacking Ensemble AI Approach, Alzheimers & Dementia, 202312
  • Improving End-To-End Latency Fairness Using a Reinforcement-Learning-Based Network Scheduler, APPLIED SCIENCES-BASEL, 202303
  • The Role of a Reward in Shaping Multiple Football Agents' Behavior: An Empirical Study, APPLIED SCIENCES-BASEL, 202303
  • Importance of prefrontal meta control in human-like reinforcement learning, FRONTIERS IN COMPUTATIONAL NEUROSCIENCE, 202212
  • 불확실성이 높은 의사결정 환경에서 SR 기반 강화학습 알고리즘의 성능 분석, 정보처리학회논문지. 소프트웨어 및 데이터 공학, 202208
  • 인공지능과 디지털 기술을 활용한 재범방지, 법무보호연구, 202208
  • 딥러닝 기반 무역 수출 가격 예측 모델, 소프트웨어 및 데이터 공학, 202204
  • Preeminently Robust Neural PPG Denoiser, SENSORS, 202203
  • 생명체의 유연한 자연지능 모사 방법과 데이터 기반 방법을 융합한 통합 인공지능, 정보과학회지, 202112
  • 인공지능 시대, 문화예술 분야로의 확장, 문화예술융합연구, 202112
  • 스마트홈의 진화: 인간중심 스마트 케어링 홈, 한국통신학회지(정보와통신), 202011
  • Biological Reinforcement Learning via Predictive Spacetime Encoding, Korean Artificial Intelligence Association Conference , 202008
  • Optimal control of human inference process, (Under review), 202002
  • Deep interaction between reinforcement learning algorithms and human reinforcement learning , (Under review), 202002
  • Designing model-based and model-free reinforcement learning tasks without human guidance (Extended version of RLDM 2019), Advances in Neural Information Processing, Workshop on Biological and Artificial Reinforcement Learning, 201912
  • Development of an Improved Model to Predict Building Thermal Energy Consumption by Utilizing Feature Selection, Energies, 201911
  • Investigating Primary Factors Affecting Electricity Consumption in Non-Residential Buildings Using a Data-Driven Approach, Energies, 201910
  • Designing model-based and model-free reinforcement learning tasks without human guidance, The Multi-disciplinary Conference on Reinforcement Learning and Decision Making (RLDM), 201907
  • Lifespan design of conversational agent with growth and regression metaphor for the natural supervision on robot intelligence, 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI), 201903
  • Towards High Performance, Memory Efficient, and Fast Reinforcement Learning : Lessons from Decision Neuroscience, Science Robotics, 201901
  • Metacognition for a Common Model of Cognition, AAAI 2018 Fall Symposium, 201810
  • Automated Knowledge Base Completion Using Collaborative Filtering and Deep Reinforcement Learning, IEEE International Conference on Systems, Man, and Cybernetics (SMC), 201810
  • Using Social Reasoning Framework to Guide Normative Behaviour of Intelligent Virtual Agents, IEEE International Conference on Systems, Man, and Cybernetics (SMC), 201810
  • A computational model for designing energy behaviour change interventions, User Modeling and User-Adapted Interaction (UMUAI), 201803
  • Fribo: A Social Networking Robot for Increasing Social Connectedness through Sharing Daily Home Activities from Living Noise Data, The 13th Annual ACM/IEEE International Conference on Human Robot Interaction (HRI 2018), 201803
  • Maximally separating and correlating model-based and model-free reinforcement learning, Computational and Systems Neuroscience 2018 (COSYNE 2018), 201802
  • How Smart Do Smart Meters Need to Be?, Building and Environment, 201711
  • A Study on Interaction Design of Companion Robots Based on Emotional State, Journal of Digital Contents Society (written in Korean), 201711
  • The Effects of Virtual Competitors on AR (Augmented Reality) Home Training System: Focusing on Immersion, Perceived Competition, and Learning Motivation, Science of Emotion and Sensibility (written in Korean), 201710
  • Hey, Wake Up: Come Along with the Artificial Learning Companion to the e-Learner's Outcomes High!, CHI Conference on Human Factors in Computing Systems, 201705
  • Overheating in vulnerable and non-vulnerable households, Building Research & Information, 201702
  • Blur robust optical flow using motion channel, Neurocomputing , 201701
  • Designing sensor sets for capturing energy events in buildings, Building and Environment, 201612
  • Investigating the Overheating Risk in Refurbished Social Housing, 9th Windsor Conference: Making Comfort Relevant, Network for Comfort and Energy Use in Buildings, 201604
  • Event: Autonomous Agents and Multi-Agent Systems 2014, Artificial Intelligence and Simulation of Behaviour (AISB) Quarterly, 201507
  • N-Jason: Run-Time Norm Compliance in AgentSpeak(L), Engineering Multi-Agent Systems, 201405
  • Run-Time Norm Compliance in BDI Agents, International conference on Autonomous agents and multi-agent systems (AAMAS 2014), 201405
  • Robust Optical Flow against Camera Motion Blur using RGB-Motion Imaging and Directional Filters, IEEE Winter Conference on Applications of Computer Vision (WACV 2014), 201403
  • Towards Polite Virtual Agents using Social Reasoning Techniques, Computer Animation and Virtual Worlds, 201308
  • Governing Intelligent Virtual Agent Behaviour with Norms, International conference on Autonomous agents and multi-agent systems (AAMAS 2013), 201305
  • Decoupling Cognitive Agents and Virtual Environments, Cognitive Agents for Virtual Environments, 201206
저역서
  • 인공지능 기초, 씨마스, 20250301
  • 인공지능수학, 씨마스, 20210901
지식재산
  • Apparatus and method for non-invasive control of human leanring and inference process at both behavioral and neural levels based upon brain-inspired artificial intelligence technique (pending, Korea/USA), Jee Hang Lee, Sang Wan Lee,
  • Apparatus and Method for Eliciting Optimal Strategy of the Humans in the Interactive Games using Artificial Intelligence (Pending, Korea/USA), Jee Hang Lee, Sang Hyun Lee, Sang Wan Lee,
  • Apparatus and method for constructing and self-evolving knowledge base of brain functions (pending, Korea), Jee Hang Lee, Chang Hwa Lee, Sang Wan Lee,
  • Apparatus and Method for 3D Packet Scale Down with Proxy Server in Mobile Environment (pending, USA), Jee Hang Lee, Dong Jun Kum, Soon Hwan Kwon, Seung Jae Han, Dong Jin Sohn ,
학술발표
  • Explore the brain connectivity of panic disorder patients based on the graph theoretical approach, OHBM, 20240623
  • 경도인지장애 조기 선별을 위한 디지털 바이오마커의 활용, 대한의료정보학회, 20240619
  • 경도인지장애 조기 선별을 위한 디지털 바이오마커의 활용, 대한디지털치료학회, 20240614
  • Detecting Patients with Panic Disorder using EEG : Discrepancy in Graph-Theoretical Features between Panic Disorder Patients and Healthy Control Potentiate the Prediction Performance using Machine Learning , 대한디지털치료학회, 20240614
  • 정서적 지지형 감성 대화 생성에 대한 설명 가능 딥러닝 모델 제안, 한국감성과학회, 20221028
  • BERT 스코어 기반 디지털 휴먼 프로토타입의 감성 대화 품질 평가 , 한국감성과학회, 20221028
  • Cross-modal 정보 기반 감성 영상 자동 라벨링 가능성 탐구 , 한국감성과학회 , 20221028
  • On the Evaluation of Stylised Lyrics using Deep Generative Models: A Preliminary Study, Intelligent Human Computer Interaction Society, 20221021
  • Improving Gaze Estimation Performance using Ensemble Loss Function, Intelligent Human Computer Interaction Society, 20221021
  • Exploring essential computations underlying generalizable human reinforcement learning, Reinforcement Learning and Decision Making Society, 20220611
  • Touching Minds: Deep Generative Models Composing the Digital Contents to Practice Mindfulness, International conference on intelligent human-computer interaction, 20211220
  • Jee Hang Lee In silico manipulation of human cortical computation underlying goal-directed learning, Neural Information Processing Systems (NeurIPS), 20211213
  • Predicting the Future Price of Export Items using a Deep Neural Network with Past Year’s Trade Data, 한국정보처리학회, 20211104
  • Engineering a deep-generative model for lyric writing based upon a style transfer of song writers, 한국정보처리학회, 20211104
  • Developing artificial football agents based upon multi-agent techniques in the AI world cup, 한국정보처리학회, 20211104
  • A case study on Text-to-Ontology transformation on the basis of neural translation, 한국정보처리학회, 20211104
  • Evaluating a successor representation-based reinforcement learning algorithm in the 2-stage Markov decision task, 한국정보처리학회, 20211104
  • A prototype of digital humans capable of emotionally supportive responses using deep generative models, 한국정보처리학회, 20211104
  • Developing a mobile application serving sign-language to text translation for the deaf, 한국정보처리학회, 20211104
  • Authentication of Facial Images with Masks Using Periocular Biometrics, Intelligent Human Computer Interaction, 20201124
  • A Comparative Analysis on the Impact of Face Tracker and Skin Segmentation onto Improving the Performance of Real-Time Remote Photoplethysmography, Intelligent Human Computer Interaction, 20201124
  • Deep Interaction between Reinforcement Learning Algorithms and Human Reinforcement Learning, Cold Spring Harbor Laboratory, 20201109
  • Deep Interaction between Reinforcement Learning Algorithms and Human Reinforcement Learning", 한국인공지능학회, 20200827
  • Biological reinforcement learning via predictive spacetime encoding, 한국인공지능학회, 20200827
수상
  • 우수논문상, Archives of Design Research, 20241107
  • 최우수논문상, 한국감성과학회, 20221028
  • Best AI model for IHCI, International Conference on Intelligent Human Computer Interaction, 20211222
  • 우수논문상, 한국정보처리학회, 20211105
  • 우수논문상, 한국정보처리학회, 20211105
  • 논문경진대회 장려상, 한국정보처리학회, 20211105
  • 논문경진대회 장려상, 한국정보처리학회, 20211105
  • 산업통상자원부 장관표창, 산업통상자원부, 20201201
  • Outstanding Paper Award (Deep Interaction between Reinforcement Learning Algorithms and Human Reinforcement Learning), Korean Artificial Intelligence Association Conference, 20200828
  • Outstanding Paper Award (Biological Reinforcement Learning via Predictive Spacetime Encoding), Korean Artificial Intelligence Association Conference, 20200828
  • 우수논문상, 사단법인 한국인공지능학회, 20200827
  • 우수논문상, 사단법인 한국인공지능학회, 20200827
  • 2020년 K-MOOC AI 신규 강좌 선정, 국가평생교육진흥원, 20200604
  • Best Paper Award, ACM/IEEE International Conference on Human-Robot Interaction, 20180304
  • KI PostDoc Fellowship, KAIST, 20170115
  • Recognising Excellence Scheme, University of Bath, UK, 20151109
  • AAMAS Student Scholarship, Autonomous Agents and Multi-Agent Systems, 20140505
  • AISB Travel Award, Artificial Intelligence and Simulation of Behaviour (AISB), 20140401
  • Best Student Paper, Winter Conference on Applications of Computer Vision (WACV'14), 20140324
  • University Research Scholarship, University of Bath, UK, 20100201
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