AI 응용연구(X+AI) | 서울대학교AI연구원(AIIS)

연구

AI 응용연구(X+AI)

서울대학교에서는 AI 연구를 플랫폼으로 하여
모든 학문 분야에 AI를 접목한 연구를 수행하고 있습니다.

에너지 + AI (Energy)

에너지 사용의 패턴을 분석해 효율성을 극대화하고,
새로운 에너지원을 안전하게 개발하는데 인공지능을 활용합니다.

김장우공과대학 전기정보공학부

  • 연구실/전공분야고성능 컴퓨터 시스템 연구실
  • 연구분야(AI 원천기술)AI Platform, AI Chip
  • 연구분야(X+AI)Brain, Medicine, Energy

대표논문

"FlexLearn: Fast and Highly Efficient Brain Simulations Using Flexible On-Chip Learning", Eunjin Baek, Hunjun Lee, Youngsok Kim, and Jangwoo Kim, ACM/IEEE International Symposium on Microarchitecture (MICRO), Oct 2019
"MnnFast: A Fast and Scalable System Architecture for Memory-Augmented Neural Networks", Hanhwi Jang, Joonsung Kim, Jae-Eon Jo, Jaewon Lee, and Jangwoo Kim, ACM/IEEE International Symposium on Computer Architecture (ISCA), Jun 2019
"Flexon: A Flexible Digital Neuron for Efficient Spiking Neural Network Simulations"
Dayeol Lee, Gwangmu Lee, Dongup Kwon, Sunghwa Lee, Youngsok Kim, and Jangwoo Kim, ACM/IEEE International Symposium on Computer Architecture (ISCA), Jun 2018
"μLayer: Low Latency On-Device Inference Using Cooperative Single-Layer Acceleration and Processor-Friendly Quantization", Youngsok Kim, Joonsung Kim, Dongju Chae, Daehyun Kim, and Jangwoo Kim, ACM European Conference on Computer Systems (EuroSys), Mar 2019
"FIDR: A Scalable Storage System for Fine-Grain Inline Data Reduction with Efficient Memory Handling", Mohammadamin Ajdari, Wonsik Lee, Pyeongsu Park, Joonsung Kim, and Jangwoo Kim, ACM/IEEE International Symposium on Microarchitecture (MICRO), Oct 2019
인공지능 가상머신: 이종 인공지능의 동시, 고속, 독립 실행을 위한 컴퓨터 구조/삼성미래기술육성사업/2019.6-2022.5
이종 스파이크 뉴런 기반의 인간 두뇌 규모 시뮬레이션을 위한 프로세서 및 시스템 개발/한국연구재단/2017.3-2021.2
대규모 뉴럴 프로세싱을 위한 FPGA 기반의 확장형 시스템 개발/삼성전자/2017.11-2020.10

문태섭공과대학 전기정보공학부

  • 연구실/전공분야M.IN.D (Machine INtelligence and Data science) Lab
  • 연구분야(AI 원천기술)Learning & Reasoning, Vision & Perception, Data Intelligence, Brain & Mind, AI Law & Ethics
  • 연구분야(X+AI)Brain, Bio, Energy

대표논문

Re-weighting Based Group Fairness Regularization via Classwise Robust Optimization. Sangwon Jung, Taeeon Park, Sanghyuk Chun, and Taesup Moon. The 11th International Conference on Learning Representations (ICLR), May 2023

Descent Steps of a Relation-Aware Energy Produce Heterogeneous Graph Neural Networks. Hongjoon Ahn, Youngyi Yang, Quan Gan, David Wipf, and Taesup Moon. Neural Information Processing Systems (NeurIPS), December 2022

GRIT-VLP: Grouped Mini-batch Sampling for Efficient Vision and Language Pre-training. Jaeseok Byun, Taebaek Hwang, Jianlong Fu, and Taesup Moon. European Conference on Computer Vision (ECCV), October 2022

Learning Fair Classifiers with Partially Annotated Group Labels. Sangwon Jung, Sanghyuk Chun, and Taesup Moon. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), June 2022

SSUL: Semantic Segmentation with Unknown Label for Exemplar-based Class-Incremental Learning. Sungmin Cha, Beomyoung Kim, Youngjoon Yoo, and Taesup Moon. Neural Information Processing Systems (NeurIPS), December 2021

SS-IL: Separated Softmax for Incremental Learning. Hongjoon Ahn, Jihwan Kwak, Subin Lim, Hyeonsu Bang, Hyojun Kim, and Taesup Moon. International Conference on Computer Vision (ICCV), October 2021

Fair Feature Distillation for Visual Recognition. Sangwon Jung, Donggyu Lee, Taeeon Park, and Taesup Moon. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), June 2021

FBI-Denoiser: Fast Blind Image Denoiser for Poisson-Gaussian Noise. Jaeseok Byun, Sungmin Cha, and Taesup Moon. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), June 2021

Continual Learning with Node-Importance based Adaptive Group Sparse Regularization. Sangwon Jung, Hongjoon Ahn, Sungmin Cha, and Taesup Moon. Neural Information Processing Systems (NeurIPS), December 2020

Uncertainty-based continual learning with adaptive regularization. Hongjoon Ahn, Sungmin Cha, Donggyu Lee and Taesup Moon. Proceedings of Neural Information Processing Systems (NeurIPS), December 2019

Fooling neural network interpretations via adversarial model manipulation. Juyeon Heo, Sunghwan Joo, and Taesup Moon. Proceedings of Neural Information Processing Systems (NeurIPS), December 2019

박세웅공과대학 전기정보공학부

  • 연구실/전공분야네트워크 연구실
  • 연구분야(AI 원천기술)Learning & Reasoning, Robotics & Action, Human-AI Interaction
  • 연구분야(X+AI)Logistics, Manufacturing, Energy

대표논문

Seowoo Jang, Kang G. Shin, and Saewoong Bahk "Post-CCA and Reinforcement Learning based Bandwidth Adaptation in 802.11ac Networks," IEEE Transactions on Mobile Computing, vol. 17, no. 2, pp. 419-432, Feb. 2018.
Jeongyoon Heo, Byungjun Kang, Jin Mo Yang, Jeongyeup Paek, and Saewoong Bahk, "Performance-Cost Tradeoff of Using Mobile Roadside Units for V2X Communication," IEEE Transactions on Vehicular Technology, vol. 68, no. 9, pp. 9049-9059, Sep. 2019.
Hyung-Sin Kim, JeongGil Ko, and Saewoong Bahk, "Smarter Markets for Smarter Life: Applications, Challenges and Deployment Experiences," IEEE Communications Magazine, vol. 55, no. 5, pp. 34-41, May. 2017.
Sung-Guk Yoon, Young-June Choi, Jong-Keun Park and Saewoong Bahk, "Stackelberg Game based Demand Response for At-Home Electric Vehicle Charging," IEEE Transactions on Vehicular Technology, vol. 65, issue 6, pp. 4172-4184, June 2016.
Jongwook Lee and Saewoong Bahk, "On the MDP-based Cost Minimization for Video-on-Demand Services in a Heterogeneous Wireless Network with Multi-Homed Terminals," IEEE Transactions on Mobile Computing, vol. 12, issue. 9, pp. 1737-1749, Sep. 2013
One of Top 100 Research results in 2018 - Disaster Communication Convergence Technology Research (2016.04.01-2017.12.31.) IITP

박순애행정대학원 행정학과

  • 연구실/전공분야성과관리, 위험관리, 환경정책, 정책평가
  • 연구분야(AI 원천기술)Human-AI Interaction, Data Intelligence, AI Security
  • 연구분야(X+AI)Humanities/Social Sciences, Finance, Energy

대표논문

Public Choice in Transit Organization and Finance: The Structure of Support. Transportation Research Record (SCI) 1669:87-95.
Regional Model of EKC for Air Pollution: Evidence from the Republic of Korea. Energy Policy (SSCI). 39, 2011
The Environmental Effects of the CNG Bus Program on Metropolitan Air Quality in Korea, The Annals of Regional Science (SSCI). 49 (1) 2012
Imperfect Information and Labor Market Bias against Small and Medium-sized Enterprises: A Korean Case, Small Business Economics: An Entrepreneurship Journal (SSCI). 2014. 10
Public Management in Korea: Performance Evaluation and Public Institutions (Ed). Routledge, 2018

유재준자연과학대학 물리천문학부

  • 연구실/전공분야응집물질물리이론
  • 연구분야(AI 원천기술)Learning & Reasoning, Data Intelligence
  • 연구분야(X+AI)Energy, Physics

대표논문

"Passivated co-doping approach to bandgap narrowing of titanium dioxide with enhanced photocatalytic activity”, Applied Catalysis B: Environmental 200, 1 (2017)
"Novel J eff= 1/2 Mott state induced by relativistic spin-orbit coupling in Sr2IrO4”, Physical Review Letters 101, 076402 (2008)
"O(N) LDA+U electronic structure calculation method based on the nonorthogonal pseudoatomic orbital basis”, Physical Review B 73, 045110 (2006)
"Magnetic ordering at the edges of graphitic fragments: Magnetic tail interactions between the edge-localized states”, Physical Review B 72, 174431 (2005)
"Electronically Driven Instabilities and Superconductivity in the Layered La2-xMxCuO4 Perovskites", Physical Review Letters 58, 1035 (1987)
"Center for Strongly Correlated Materials Research (SRC)", 한국연구재단, 1999-2008

윤성로공과대학 전기정보공학부

  • 연구실/전공분야인공지능 연구실
  • 연구분야(AI 원천기술)Learning & Reasoning, Vision & Perception, Language & Cognition, AI Platform, AI Chip, Data Intelligence, AI Security
  • 연구분야(X+AI)Bio, Medicine, Pharma, Finance, Manufacturing, Energy

대표논문

윤용태공과대학 전기정보공학부

  • 연구실/전공분야전력시스템 및 경제 연구실
  • 연구분야(AI 원천기술)Data Intelligence, Energy AI
  • 연구분야(X+AI)Energy

대표논문

SH Oh, SW Kim, YT Yoon, Real-time Reconfiguration Strategy of Self-adequate Distribution Network based on Deep Reinforcement Learning, CIGRE Symposium 2019, Aalborg, Denmark, 4-7 June 2019.

이경식공과대학 산업공학과

  • 연구실/전공분야Integer Programming, Robust Optimization, Applications of Optimization in Power, Logistics, Manufacturing, and Service Industries
  • 연구분야(AI 원천기술)Integer Optimization
  • 연구분야(X+AI)Logistics, Manufacturing, Energy

대표논문

  • 연구실/전공분야Quantum Electronic Nanomaterials and Nanodevices (QuENN) Group
  • 연구분야(AI 원천기술)AI Chip
  • 연구분야(X+AI)Brain, Energy

대표논문

이덕주공과대학 산업공학과

  • 연구실/전공분야경제성 분석 연구실
  • 연구분야(AI 원천기술)Data Intelligence
  • 연구분야(X+AI)Finance, Commerce, Energy

대표논문

  • 연구실/전공분야Molecular Electronics and Nanostructures Laboratory
  • 연구분야(AI 원천기술)Learning & Reasoning, Vision & Perception, AI Chip
  • 연구분야(X+AI)Brain, Energy

대표논문

임재현경영대학 경영학과

  • 연구실/전공분야Sustainable Operations Management, Supply Chain and Logistics Management, Data Analytics
  • 연구분야(AI 원천기술)Learning & Reasoning, AI Platform, Data Intelligence
  • 연구분야(X+AI)Commerce, Energy, Manufacturing, Logistics

대표논문

Optimal Ratcheting in Executive Compensation. Decision Analysis, accepted. with I. Hwang, Y. Kim.

Got Organic Milk? Joint Inventory Model with Supply Uncertainties and Partial Substitution. Operations Research Letters, 49(5), 2021. with D. Jeon, Z. Peng, Y. Rong.

Why Have Voluntary Time-of-Use Tariffs Fallen Short in the Residential Sector? Production & Operations Management, 29(3), 2020. with D.G. Choi, K. Murali, V. Thomas

Money Well Spent? Operations, Mainstreaming, and Fairness of Fair Trade. Production & Operations Management, 28(12), 2019. with H.Y. Mak, S.J. Park

The Effects of Ecolabels and Environmental Regulation on Green Product Development. Manufacturing & Service Operations Management, 21(3), 2019. with K. Murali, N.C. Petruzzi

Promoting Clean Technology Products: To Subsidize Products or Service Infrastructure? Service Science, 11(2), 2019. with G. Ma, H.Y. Mak, Z. Wan

Beyond the Speed-Price Tradeoff. MIT Sloan Management Review, 59(4), Summer, 2018. with J. Acimovic, H.Y. Mak

전화숙공과대학 컴퓨터공학부

  • 연구실/전공분야이동 컴퓨팅 및 통신 연구실
  • 연구분야(AI 원천기술)Autonomous Driving
  • 연구분야(X+AI)Manufacturing, Energy

대표논문

"Energy-efficient channel management scheme for cognitive radio sensor networks," IEEE Transactions on Vehicular Technology, 2011(DOI:  10.1109/TVT.2011.2128355 ).
"Collaborative sensing management for cognitive radio networks with reporting overhead," IEEE Transactions on Wireless Communications, 2013 (DOI:  10.1109/TWC.2012.12.111813) .
"Performance analysis of neighbor discovery process in Bluetooth Low Energy networks," IEEE Transactions on Vehicular Technology, 2017(DOI:  10.1109/TVT.2016.2558194).
"A graph-based handover scheduling for heterogeneous vehicular networks," IEEE Access,  2018 (DOI: 10.1109/ACCESS.2018.2870889).
"Adaptive Uplink Rate Control for Confirmed Class A Transmission in LoRa Networks," IEEE Internet of Things Journal, 2020 (DOI: 10.1109/JIOT.2020.2986494).

최현용자연과학대학 물리천문학부

  • 연구실/전공분야Ultrafast Quantum Photonics Laboratory
  • 연구분야(AI 원천기술)AI Platform
  • 연구분야(X+AI)Bio, Energy, Optical system, materials sciences

대표논문

Nano Letters 19, 7464−7469 (2019)
Nature Nanotechnology 13, 910-914 (2018)
Nature Communications 9, 351 (2018)
Nano Letters 18, 734 (2018)
Nature Communications 7, 13569 (2016)

허성욱법학전문대학원 법학과

  • 연구실/전공분야규제행정법/환경법/에너지법/법경제학/개인정보보호
  • 연구분야(AI 원천기술)AI Platform, Data Intelligence, AI Law & Ethics
  • 연구분야(X+AI)Arts, Humanities/Social Sciences, Energy

대표논문

한국에서 빅데이터를 둘러싼 법적 쟁점과 제도적 과제 경제규제와 법 서울대학교 법학연구소 단독  20141
스마트그리드와 개인정보보호 법정책 개인정보보호의 법과 정책 박영사 단독  201405
공법이론과 공공정책 (II) - 공공선택이론 관점에서 본 행정재판의 역할 - 공법연구 한국공법학회 단독  201812

허은녕공과대학 에너지자원공학과

  • 연구실/전공분야자원환경경제학
  • 연구분야(AI 원천기술)AI Law & Ethics, Economic Valuation
  • 연구분야(X+AI)Humanities/Social Sciences, Finance, Energy

대표논문

『우리의 지속가능한 에너지』 (2017) 임현묵 외, 유네스코한국위원회
『리더들이 꼭 알아야 할 에너지기술』 (2015) 차동형 외, 지오북
에너지 클라우드 기술의 가치평가시스템 구축, 한국연구재단 원천기술개발사업, 2019.06~2020.12