In-Seok Hwang
포항공과대학교 컴퓨터공학과
Mobile Computing, Human-Computer Interaction, Applied AI
Human-centered Intelligent Systems Lab
inseokh@postech.ac.kr
Human-centered Intelligent Systems Lab @ CSE, POSTECH. Located at 77 Cheongam-Ro, Nam-Gu, Pohang, Gyeongbuk 37673, South Korea.
AI is rapidly becoming a commodity in every area of computing. We explore various embodiments in which AI boosts everyday human-life agenda -- family, community, health, social, etc. We envision Human-AI Symbiosis.
Sensing is the cognitive gateway that opens up our everyday real-life spaces for computerization. We explore brand-new, cost-minimal, and widely usable opportunities to turn our everyday space into one full of interactive gadgets and agents.
We envision new technologies and designs to innovate the conventional model of human presence, to augment and extend real-space human ability, and to drive the transcendence beyond our natural-born constraints as physical beings.
We strive to unfold the next leap of social platforms, which are now homed in the real world, powered by tiny smart things on and around us, helping our real social life healthier & enjoyable.
Our missions are: (1) to spur the evolution of mobile & wearable computing platforms to accommodate machine learning principles; (2) to premiere first-of-a-kind services powered by AI and deep learning on tiny platforms.
Large Language Model (LLM)-based Agent to Facilitate Affective Empathy by Personalized Analogy Generation
Pervasive Sensing & Large Language Model (LLM) for Personalized Vocabulary Assessment-Intervention for Children
Human-AI Actuation: a novel Human+AI symbiotic model in AI-rich pervasive sensory environment
Personalized sleep planning system
AI-powered mobile photographic memento system
Augmenting physical space for co-located shared AR by surface-anchored, naturally-blending mobile display
Ambient magnetic sensing at gyms
Screen reader system with concurrently interlocked voice streams
AI-augmented public gym
Peer-relativity for everyone in social VR
Autonomous telepresence system with intelligent heterogeneous space fusion
Back-of-Device interaction for instant VR experiences with mobile HMDs
New socio-physical layer to democratize public IoT systems
Mobile-cloud platform for infrastructure-less crowd localization & mass-scale social interactivity
Pervasive smart mirror for open-ended facilitation of parental reflective functioning
Wearable 24/7 intelligent agent for out-of-clinic care
Smartwatch system to promote new workplace social memes
On-device CNN inference acceleration with mobile-native sensor fusion for AR applications
Accelerating voice-enabled agents backed by proprietary cloud APIs
출처: 연구실 홈페이지
현재 재학생
12명
최근 5년 졸업
0명
학위 과정 분포: 석사 1명, 석박통합 10명, 박사 1명 (대학원 12명)
대학원 12명 · 포닥·학부연구생 31명 별도
본 페이지는 연구실 규모 파악을 위한 집계 통계(구성원 수, 진로 카테고리, 학위 과정 분포)만 제공하며, 개별 학생의 이름·전적·취업처 등은 표시하지 않습니다. 학위 과정 분포는 모든 재학생의 과정이 명확히 분류된 경우에만 표시되며 (분류 미상 학생이 1명이라도 있으면 미표시), k≥5 익명성 조건을 충족할 때만 공개됩니다 (PIPA §58-2·§28-2 + 대법원 2014다235080).
본 연구는 개인의 실생활 제약을 고려하여 수면 시간과 각성 수준을 최적화하는 개인화된 수면 계획 시스템 SleepGuru를 제안합니다. 웨어러블 활동 추적기와 모바일 캘린더를 활용하여 실행 가능한 다중일 수면 일정을 생성하며, 클라우드 기반 최적화 엔진과 모바일 인터페이스를 통해 개인 맞춤형 예측과 조정 기능을 제공합니다.
학술 논문의 미래 영향력은 학회 채택률로 예측할 수 있습니다. 본 연구는 학회 선택성과 출판 논문의 영향력 간의 관계를 분석합니다.
논문 데이터가 수집되면 연구 키워드가 자동 추출됩니다