컴퓨터과학과대학원연구실 데이터베이스연구실지도교수 : 이원석 연구분야 : 1. 빅데이터스트림자율학습데이터마이닝기술 - 사물인터넷 (IoT) 환경에서실시간으로발생하는다양한센서빅데이터스트림에대해연속적데이터마이닝하여내제된지식을스스로학습하는자율데이터스트림알고리

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1 컴퓨터과학과대학원연구실 데이터베이스연구실지도교수 : 이원석 빅데이터스트림자율학습데이터마이닝기술 - 사물인터넷 (IoT) 환경에서실시간으로발생하는다양한센서빅데이터스트림에대해연속적데이터마이닝하여내제된지식을스스로학습하는자율데이터스트림알고리즘연구 - 실시간으로의미있는지식 / 규칙을자율적으로추출하여활용하는실시간빅데이터분석엔진연구 - IoT 기기내장화기반분산처리를위한경량화및알고리즘최적화기법연구 2. 엣지기반상황자기발견및자율사물자동엑츄에이션 - 기본상황을자기인지하여상황발생이벤트를저널링한데이터에대해기계학습 / 인공지능 / 딥러닝알고리즘을적용하여자동화다단계복합상황별규칙및패턴을자율적발견 - 실시간센서이벤트를모니터링하여상황발생내역을큐레이션하고해당상황의규칙을엑츄에이션에적용하여실시간상황기반자율사물 (Autonomous Things) 을자동으로구동 - 엣지 / 클라우드기반대용량상황프로파일빅데이터병렬처리및실시간프로파일충전하는기술연구 3. 대용량빅데이터거버넌스 - 기존의관리방법이나분석체계로처리하기어려운막대한양의정형 / 비정형데이터에있어서관련한표준화관리연구 - 빅데이터분석을무의미하게만드는가장큰원인인저품질데이터의발현을막는빅데이터품질모니터링연구및모니터링을통한빅데이터가치평가연구 - 빅데이터, 연결데이터, 개방형데이터등데이터자체에초점을둔새로운트렌드가운데정보생태계인웹을활용한 LOD 기반빅데이터지도연구 4. 유통용빅데이터개인정보익명비식별처리및익명결합 - 대용량빅데이터간의연관성및내재지식탐사를위한빅데이터기계학습 / 인공지능방법연구 - 유통및분석에서개인정보및민감정보유출방지와개별정보의분석정확도를향상하는개인정보익명화및비식별화알고리즘연구 ( 차분프라이버시모델기반데이터유통연구 ) - 대용량빅데이터의 Apache Spark 기반대용량병렬분산처리및 IoT 센서데이터스트림에서개인정보실시간데이터스트림기반익명 / 비식별처리기술 5. 생물모방형유기컴퓨팅 - 생물의신경회로망처럼하나의목표를위해미세한단위기능들이유기적으로협업하는형태를 IoT 환경의미립분산협업연구에적용 - 각 IoT 기기의초경량프로세스인 μ-객체기반으로객체간협업을위한비동기적메시지패싱및동시성프로그래밍연구 연구실홈페이지 : Contact Person : 정다운,jdw1994@yonsei.ac.kr, , 공 D811 소프트컴퓨팅연구실 지도교수 : 조성배 , 1. 설명가능한딥러닝알고리즘 - 고성능딥러닝기반시계열예측과확률기반출력설명알고리즘 - 딥러닝파라미터의심볼화및심볼릭 AI 알고리즘기반의사유추론 - 1 -

2 2. 딥러닝알고리즘응용 - 센서기반기계데이터모델링 ( 주파수스펙트럼, 멀티채널음향신호활용 ) - 스마트폰표면결함탐지 ( 다수딥러닝분류기의융합, 메타정보의가공및활용 ) 3. 전통적 AI 알고리즘융합 - 확률적탐색알고리즘의딥러닝적용 - 진화알고리즘기반딥러닝구조및학습전략최적화 (DB 침입탐지및악성코드탐지 ) - 강화학습기반태스크최적화 (AI 마인크래프트대회출전 / 아타리게임자동화 ) 연구실홈페이지 : Contact Person: 부석준, sjbuhan@yonsei.ac.kr, , 공 D807 모바일임베디드시스템연구실지도교수및전화번호차호정 (hjcha@yonsei.ac.kr, ) 1. Cross-device Web Techniques for Heterogeneous Devices - Platforms for cross-device user interfaces of web applications - Web-based systems for cross-device I/O sharing - Applications with cross-device web techniques 2. Intermittent Computing for Batteryless IoT System - Energy harvesting hardware for batteryless node - Machine learning-based sensor fusion for IoT applications - Operation systems support for intermittent systems 3. Energy Optimization for Mobile Devices - Linux kernel and Android framework optimization for energy/thermal-aware devices - Energy-aware scheduler and governor for heterogeneous multi-core AP - Cooperative energy optimization for AP components CPU/GPU/memory 4. Secure Microkernel - Microkernel optimization for embedded systems (TizenRT, NuttX, FreeRTOS,...) - Development of high-assurance (>EAL6) secure microkernel - Security, safety, correctness-provisioning microkernel 5. Battery Management System (BMS) - Machine learning-based Lithium-ion battery diagnosis and prognosis - BattMan/SuperMan multi-cell battery systems for mobile devices - BMS software for multi-cell devices (drone, appliances, electric vehicle) 6. Machine Learning-based Solutions for System Optimization - CNN-based gaze tracking on smartphones - RNN-based structural anomaly detection of drones - DNN-based battery SoC modeling and diagnosis - RL-based duty cycling of IoT devices 연구실홈페이지주소 : contact person: 안준익, junickbaram@gmail.com, 공 D814 인터넷컴퓨팅연구실 지도교수 : 이경호 Knowledge Graph Construction & Completion - 2 -

3 2. Information Extraction & Natural Language Processin 3. Knowledge Graph Representation and Learning 4. Recommendation with Knowledge Graphs 5. Dialogue Generation with Knowledge Graphs 6. Semantic Web Services 연구실홈페이지 : Contact Person: 김동현, dhkim92@yonsei.ac.kr, 위치 : D812 컴퓨터그래픽스연구실지도교수 : 이인권 (iklee@yonsei.ac.kr) Computer Graphics & Animation 2. Music Technology 3. Virtual Reality 4. Affective Computing 연구실홈페이지 : Contact Person : 이도해, dlehgo1414@gmail.com , 공 D712호 데이터공학연구실지도교수 : 박상현, Database System 빅데이터플랫폼 (Bigdata platform) 최신하드웨어를이용한데이터베이스시스템기술 (DBMS on modern hardware) 2. Bioinformatics 질병분석을위한데이터마이닝연구 (Data mining for disease analysis) 약물디자인을위한기계학습연구 (AI for de novo drug design) 3. Machine Learning 멀티모달모델 (Study for multimodal models) 시계열분석 (Time-series analysis) 연구실홈페이지주소 : 데이터공학연구실방장 : 최종환, , delab.yonsei@gmail.com, 공D714 모바일네트워킹연구실 지도교수 : 한승재 , seungjaehan@yonsei.ac.kr 1. Edge cloud load balancing exploiting deep learning 2. Internet of Things 3. Indoor localization 4. Energy optimization 5. Congestion control of WiFi 6. Mobile Cloud Computing 연구실홈페이지 : Contact Person: 박찬도 breakcd@yonsei.ac.kr, 공 D

4 무선네트워킹연구실지도교수 : 이수경 D912 ( , sklee@cs.yonsei.ac.kr) 1. IoT (Internet of Things) Edge Networking - Reinforcement Learning-based Network Optimization for IoT in Heterogeneous Edge Network - IoT Edge Caching 2. IoV (Internet of Vehicles) & 차세대 ITS (Intelligent Transportation System) - Fog-Enabled Vehicles for Computing/Caching - ML-based Content Request Prediction 3. 6G Wireless Architecture - AI-empowered Mobile Edge Coordination - Platform Agnostic Heterogeneous Cloud - Serverless Computing 연구실홈페이지 : Contact Person: 김창경 ckim48@yonsei.ac.kr, , 공 D710 Embedded system Languages & Compilers Lab. 지도교수 : Bernd Burgstaller Streaming Languages on Multicore Architectures and on Cloud 2. Static Program Analysis 3. Embedded Systems Compilation & Virtual Machines 4. Domain-specific Languages & Mixed Paradigm Programming 5. Speculative Parallelization & Lock-free Synchronization 6. Virtual Execution Environments 7. Language and Virtual Machine for Blockchain-based Smart Contracts 연구실홈페이지 : Contact Person: office.elc.yonsei@gmail.com, , 공D711 계산이론연구실 지도교수 : 한요섭 Formal Languages and Automata Theory - Formal Language Characterization - Probabilistic Automata and Applications 2. Information Retrieval - String Pattern Matching Algorithm - Text Searching and Mining using Finite Automata 3. System/Data Verification - Android App TestCase Automated Generation - Data Verification for Deep Learning 4. Data Similarity vs Language Similarity - 4 -

5 - Regular Expression Generation from Natural Language Description - Efficient Data Similarity Algorithm via Formal Language Similarity 연구실홈페이지 : Contact Person: 한중혁 (yonseitoc@gmail.com, , 공D709) 디펜더블컴퓨팅연구실 지도교수 : 이경우 D822, , kyoungwoo.lee@yonsei.ac.kr 1. Dependable Embedded Systems for Everyday Computing 2. Collaborative Sensing Space with Various Wearable Devices 3. DNN Execution Optimization on Dataflow Accelerator 4. Collaborative Sensing & Managing on Stress 5. Novel Estimation-based Patient Treatment under Nocturnal Enuresis 연구실홈페이지 : Contact Person: 이상엽 (yeop.lee@yonsei.ac.kr , 공 D809) Data Intelligence Lab. 지도교수 : 황승원 (seungwonh@yonsei.ac.kr) 1. Knowledge Graph 2. Web Search 3. Text Mining 4. Natural Language Processing 5. Data-driven Intelligence 연구실홈페이지 : Contact Person: 황승원 (seungwonh@yonsei.ac.kr 공 D705) Computational Intelligence and Photography 지도교수 : 김선주공 D723, , seonjookim@yonsei.ac.kr (Computational Photography/Computer Vision/Machine Learning) 1. Camera Imaging Pipeline for Personalized Photos 2. Image Noise Modeling & Denoising 3. Image Enhancement 4. Hyperspectral Imaging 5. Lightfield Imaging 6. Deep Learning for Low-level Vision 7. Deep Learning for Video Highlight Generation 연구실홈페이지 : Contact Person: 조영현, heyday097@gmail.com , 공 D

6 최적화및응용연구실지도교수 : 안형찬 D721, , hyung-chan.an@yonsei.ac.kr 1. Approximation algorithms - LP-based design of approximation algorithms - On-line/streaming algorithms - Hardness of Approximation 2. Combinatorial optimization 3. Computational applications of optimization techniques - Practically efficient implementation of optimization algorithms - Theoretical tools to evaluate practical implementations 연구실홈페이지 : Contact Person: 신용호, opt.yonsei@gmail.com, , 공 D713 고성능컴퓨팅플랫폼연구실 (High Performance Computing Platforms Lab.) 지도교수 : 김영석 D703, , youngsok@yonsei.ac.kr 1. Next-generation CPU/GPU/accelerator architectures - GPU architecture for computer graphics (rasterization, ray tracing) - GPU architecture for general-purpose computing (CUDA, OpenCL) - Architectural and system-level support for artificial intelligence 2. Performance modeling & scheduling - Highly accurate performance models for CPUs/GPUs/accelerators - Improving software/kernel-level schedulers with performance modeling 3. FPGA prototyping - High-performance FPGA designs for emerging applications (e.g., artificial intelligence) - Hardware prototyping and acceleration using FPGAs 연구실홈페이지 : Contact Person: 김영석교수, youngsok@yonsei.ac.kr, 공 D703 Accelerated Computing Systems Lab. 지도교수 : 이진호 D702, , leejinho@yonsei.ac.kr 1. Distributed Deep Learning - Network topology for deep learning - Gradient synchronization algorithm - Non-uniform asynchronous training 2. Neural Architecture Search - Neural Network/Accelerator Co-Design - Device-Aware NAS - One-Shot Differentiable NAS 3. On-device AI - Low-power accelerator - 6 -

7 - Sparse DNNs - Adaptive quantization 4. Domain-specific accelerators - Graph processing - Compression algorithms 연구실홈페이지 : Contact Person: 이진호교수, leejinho@yonsei.ac.kr, , 공 D702 Big Data Analytics Lab. 지도교수 : 박노성공학원, , noseong@yonsei.ac.kr 1. Data Analytics & Decision Making - Solve various real-world problems with machine learning and optimization techniques 2. Differential Equations-based Neural Networks - Neural Ordinary Differential Equations - Physics Informed Neural Networks 3. Graph Convolutional Networks - Spatio-temporal Graph Convolutional Networks - Continuous-time Linear Graph Convolutional Networks for Recommendation 4. Generative Adversarial Networks (GANs) - GANs to synthesize tabular data - Preventing privacy leaks in GANs 연구실홈페이지 : Contact Person: 박노성교수, noseong@yonsei.ac.kr, 공학원 427 호 Conversational Intelligence Lab. 지도교수 : 여진영공학원, , jinyeo@yonsei.ac.kr 1. NLP for Conversational AI 2. Explainable AI 3. Knowledge AI 연구실홈페이지 : Contact Person: 여진영교수, jinyeo@yonsei.ac.kr, 공학원 428A - 7 -

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