겸무교수 3 페이지 | 서울대학교AI연구원(AIIS)

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겸무교수

서울대학교 AI 연구원은
AI 원천기술(core AI) 연구자AI 응용기술(x+AI) 연구자가 함께 활동하고 있습니다.

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연구분야 (AI 원천)
연구분야 (응용)
21

이석재 인문대학 철학과

  • 연구실/전공분야서양근대철학, 형이상학
  • 연구분야(AI 원천기술)
  • 연구분야(X+AI)Humanities/Social Sciences

대표논문

20
  • 연구실/전공분야컴퓨터 그래픽스 및 이미지 처리 연구실
  • 연구분야(AI 원천기술)Learning & Reasoning
  • 연구분야(X+AI)Bio

대표논문

Pose-Aware Instance Segmentation Framework from Cone Beam CT Images for Tooth Segmentation
Deeply Self-Supervised Contour Embedded Neural Network Applied to Liver Segmentation
AI기반 의료영상 데이터 Labeling 기술연구, (주)인피니트헬스케어, 2020-04-01~2021-03-31
인공지능기반 파노라마, CT영상 병변 인식 기술개발, (주)오스템임플란트, 2019-12-16~2021-02-15
인공지능 기반 CT 영상 분할 기술 개발, (주)오스템임플란트, 2019-02-01~2019-10-31
19

이지연 약학대학 제약학과

  • 연구실/전공분야약화학생물학 연구실
  • 연구분야(AI 원천기술)
  • 연구분야(X+AI)Medicine, Pharma

대표논문

18

안창범 공과대학 건축학과

  • 연구실/전공분야건설기술연구실
  • 연구분야(AI 원천기술)Human-AI Interaction, Robotics & Action
  • 연구분야(X+AI)건설 + AI

대표논문

"Lee, H., Lee, G., Lee S., and Ahn, C. R. (2022). “Assessing Exposure to Slip, Trip, and Fall Hazards Based on Abnormal Gait Patterns Predicted from Confidence Interval Estimation: A Field Validation Study.” Automation in Construction, Elsevier.
Lee, B., Ahn, S., and Ahn, C. R. (2022). “Understanding Occupants’ Physical Distancing Behavior for Safer Facility Operation under COVID-19 in the Context of Educational Facilities.” Journal of Management in Engineering, ASCE, 38(3), 04022007.
Kim, J., Nirjhar, H. E., Kim, J., Chaspari, T., Ham, Y., Winslow, J. F., Lee, C., and Ahn, C. R. (2022). “Capturing Environmental Distress of Pedestrians using Multimodal Data: the Interplay of Bio-signals and Image-based Data.” Journal of Computing in Civil Engineering, ASCE, 36(2), 04021039.
Kim, Y., Kim, H., Murphy, R., Lee, S. and Ahn, C. (2022) “Delegation or Collaboration: Understanding Different Construction Stakeholders’ Perceptions of Robotization.” Journal of Management in Engineering, ASCE, 38(1), 04021084.
Kim, N., Anderson, B., and Ahn, C. R. (2021). “Reducing Risk Habituation to Struck-by Hazards in a Road Construction Environment Using Virtual Reality Behavioral Intervention.” Journal of Construction Engineering and Management, ASCE, 147(11), 04021157.
Zanwar, P., Kim, J., Kim, J., Manser, M., Ham, Y., Chaspari, T. and Ahn, C. R. (2021). “Use of Connected Technologies to Assess Barriers and Stressors for Age and Disability-Friendly Communities.” Frontiers in Public Health, 9(80).
Mohan, P., Lee, B., Chaspari, T., & Ahn, C. (2020). Assessment of daily routine uniformity in a smart home environment using hierarchical clustering. IEEE Journal of Biomedical and Health Informatics."
17

김장우 공과대학 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
16

이근 사회과학대학 경제학부

  • 연구실/전공분야경제추격론 (기술경제학, 기업조직론), 비교경제체제론, 경제발전론, 중국경제
  • 연구분야(AI 원천기술)
  • 연구분야(X+AI)Humanities/Social Sciences, Manufacturing, 기술혁신

대표논문

When an Importer’s Protection of IPR Interacts with an Exporter’s Level of Technology: Comparing the Impacts on the Exports of the North and South (with Wonkyu Shin and Walter G. Park). World Economy. 2015.
Changing Performance of Business Groups over Two Decades: Technological Capabilities and Investment Inefficiency in Korean Chaebols (with Kineung Choo, Keunkwan Ryu and Jungmo Yoon).
15

박종헌 공과대학 산업공학과

  • 연구실/전공분야Information Management Lab
  • 연구분야(AI 원천기술)Learning & Reasoning, Language & Cognition
  • 연구분야(X+AI)Arts, Finance, Manufacturing

대표논문

Heewoong Park and Jonghun Park, "Assessment of Word-Level Neural Language Models for Sentence Completion", Applied Sciences, Vol. 10, No. 4, Feb 2020
In-Beom Park, Jaeseok Huh, Joongkyun Kim, and Jonghun Park, "A Reinforcement Learning Approach to Robust Scheduling of Semiconductor Manufacturing Facilities", to appear in IEEE Transactions on Automation Science and Engineering, 2020
Jonggwon Park, Kyoyun Choi, Sungwook Jeon, Dokyun Kim and Jonghun Park, "A Bi-directional Transformer for Musical Chord Recognition", to appear in Proc. of the 20th International Society for Music Information Retrieval Conference (ISMIR) 2019, Delft, Netherlands
Heewoong Park, Sukhyun Cho, Kyubyong Park, Namju Kim, and Jonghun Park, "TRAINING UTTERANCE-LEVEL EMBEDDING NETWORKS FOR SPEAKER IDENTIFICATION AND VERIFICATION", Proc. of InterSpeech 2018
Moon-jung Chae, Kyubyong Park, Jinhyun Bang, Soobin Suh, Jonghyuk Park, Namju Kim, and Jonghun Park, "CONVOLUTIONAL SEQUENCE TO SEQUENCE MODEL WITH NON-SEQUENTIAL GREEDY DECODING FOR GRAPHEME TO PHONEME CONVERSION", Proc. of ICASSP 2018
신경망 구조 탐색을 위한 메타러닝 기법 및 생성형 모형 기반 이상치 탐지 기술 연구, 카카오브레인, 2019.04.01~2020.03.31
잠재공간의 효과적 제어를 통한 심층신경망의 시퀀스 데이터 생성 기법 연구, 한국연구재단, 2019.6.1 - 2022.5.31
Deep Reinforcement Learning을 활용한 지능형 Real-Time Scheduling/Dispatching, 뉴로코어, 2019. 6. - 2019.11.
14

최세영 치의학대학원 치의학과

  • 연구실/전공분야신경네트워크 연구실
  • 연구분야(AI 원천기술)Learning & Reasoning, Vision & Perception
  • 연구분야(X+AI)Brain, Medicine

대표논문

Kang MS, Choi TY, Ryu HG, Lee D, Lee SH, Choi SY*, Kim KT*. Autism-like behavior caused by deletion of vaccinia-related kinase 3 is improved by TrkB stimulation. J Exp Med. 2017 Oct 2;214(10):2947-2966. doi: 10.1084/jem.20160974.
Choi TY, Lee SH, Kim YJ, Bae JR, Lee KM, Jo Y, Kim SJ, Lee AR, Choi S, Choi LM, Bang SH, Song MR, Chung J, Lee KJ, Kim SH, Park CS, Choi SY. Cereblon maintains synaptic and cognitive function by regulating BK channel. J Neurosci. 2018 Apr 4;38(14):3571-3583. doi: 10.1523/JNEUROSCI.2081-17.2018.
Noh K, Lee H, Choi TY, Joo Y, Kim SJ, Kim H, Kim JY, Jahng JW, Lee S*, Choi SY*, Lee SJ*. Negr1 modulates anxiety- and depression-like behaviors via interaction with the LIF receptor and Lcn-2 expression. Mol Psychiatry. 2019 Aug;24(8):1189-1205. doi: 10.1038/s41380-018-0347-3.
Park SW, Kim J, Kang M, Lee W, Park BS, Kim H, Choi SY, Yang S, Ahn JH, Yang S. Epidermal electrotherapy for epilepsy. Small. 2018 Jul;14(30):e1801732. doi: 10.1002/smll.201801732.
An H, Cha KM, Choi SY, Shin HC. Data compression of excitatory postsynaptic potentials. Electronics Lett. 2015 Aug 31; 51(18):1407-1409. doi: 10.1049/el.2015.1133.
대뇌피질 신경회로의 기능적 다양성 및 발달기전 규명을 통한 뇌기능 이상 해법 도출 (과학기술정보통신부/중견연구자지원사업) 2016.06.01.-2019.05.31
Ex vivo 기반 해마체 신경망 다채널 분석 기술 개발 (과학기술정보통신부/뇌과학원천기술개발사업) 2013.05.01-2016.04.30
13

오성주 사회과학대학 심리학과

  • 연구실/전공분야심리학과 지각 실험실
  • 연구분야(AI 원천기술)Learning & Reasoning, Vision & Perception, Robotics & Action, Human-AI Interaction
  • 연구분야(X+AI)Bio, Arts, Humanities/Social Sciences, Brain

대표논문

Kwon, D., & Oh, S. (2019). The number of letters in number words influences the response time in numerical comparison tasks: Evidence using Korean number words. Attention, Perception, & Psychophysics, 81(8), 2612-2618.
Ryu, D., & Oh, S. (2018). The effect of good continuation on the contact order judgment of causal events. Journal of Vision, 18(11), 5-5.
Lee, H., & Oh, S. (2016). How directional change in reading/writing habits relates to directional change in displayed pictures. Laterality: Asymmetries of Body, Brain and Cognition, 21(1), 1-11.
Oh, S. (2013). Eyes can switch finger stroke. Perception, 42(6), 681–684.
Oh S. (2011). The eyeglass reversal. Attention, Perception & Psychophysics. 73, 1336-1343.
Baby mind: 아기 모사형 인공지능 개발
서울대학교 얼굴 데이터베이스 구축
미술감상에서 감상자 자세
12

차혁진 약학대학 약학과

  • 연구실/전공분야Cell Signaling Laboratory
  • 연구분야(AI 원천기술)Drug prediction, transcriptome analysis, Drug sensitivity prediction
  • 연구분야(X+AI)Bio

대표논문

11

유재준 자연과학대학 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
10

정진행 의과대학 병리학교실

  • 연구실/전공분야외과병리학
  • 연구분야(AI 원천기술)Learning & Reasoning
  • 연구분야(X+AI)Bio, Medicine

대표논문

2015 WHO classification of Lung tumours and Pleura, 2015 IARC press (공저자)
2020 WHO classification of Lung tumours and Pleura, 2020 IARC press (공저자 집필중)
Atlas of ALK and ROS1 testing in lung cancer 2nded. IASLC 2016 (공저자)
NCCN guidelines : Non-Small Cell Lung Cancer Asian Consensus Statements 2018
Targeted sequencing analysis of pulmonary adenocarcinoma with ultiple synchronous ground-glass/lepidic nodules J Thorac Oncol 2018;13:1776-83
9

김정훈 의과대학 이비인후과학교실

  • 연구실/전공분야이비인후과학
  • 연구분야(AI 원천기술)Data Intelligence
  • 연구분야(X+AI)Medicine

대표논문

특허: 수면무호흡증 예측 모델의 생성방법 및 이 모델을 이용한 수면무호흡증 예측방법
Prediction of Apnea-Hypopnea Index Using Sound Data Collected by a Noncontact Device.

Kim JW, Kim T, Shin J, Lee K, Choi S, Cho SW.

Otolaryngol Head Neck Surg. 2020 Mar;162(3):392-399. doi: 10.1177/0194599819900014. Epub 2020 Feb 4.

PMID: 32013710
Patient-Level Prediction of Cardio-Cerebrovascular Events in Hypertension Using Nationwide Claims Data.

Park J, Kim JW, Ryu B, Heo E, Jung SY, Yoo S.

J Med Internet Res. 2019 Feb 15;21(2):e11757. doi: 10.2196/11757.

PMID: 30767907
Impact of Personal Health Records and Wearables on Health Outcomes and Patient Response: Three-Arm Randomized Controlled Trial.

Kim JW, Ryu B, Cho S, Heo E, Kim Y, Lee J, Jung SY, Yoo S.

JMIR Mhealth Uhealth. 2019 Jan 4;7(1):e12070. doi: 10.2196/12070.

PMID: 30609978 Free PMC Article
Prediction of Obstructive Sleep Apnea Based on Respiratory Sounds Recorded Between Sleep Onset and Sleep Offset.

Kim JW, Kim T, Shin J, Choe G, Lim HJ, Rhee CS, Lee K, Cho SW.

Clin Exp Otorhinolaryngol. 2019 Feb;12(1):72-78. doi: 10.21053/ceo.2018.00388. Epub 2018 Sep 8.

PMID: 30189718 Free PMC Article
한국연구재단: 수면질환환자의 수면중 신호 빅데이터 분석을 활용한 개인 수면건강 관리용 웨어러블 기기 개발
산업부: 라이프로그-공공데이터를 활용한 PHR 기반 생애 주기별 맞춤형 건강관리 시스템 개발 및 비즈니스 모델 실증
8

이상열 자연과학대학 통계학과

  • 연구실/전공분야시계열 예측분석 연구실
  • 연구분야(AI 원천기술)
  • 연구분야(X+AI)

대표논문

7

조동일 공과대학 전기정보공학부

  • 연구실/전공분야Nano/Micro Systems & Controls Lab
  • 연구분야(AI 원천기술)
  • 연구분야(X+AI)

대표논문

6

김동규 공과대학 건설환경공학부

  • 연구실/전공분야교통계획·물류연구실
  • 연구분야(AI 원천기술)Learning & Reasoning, Data Intelligence, Autonomous Driving
  • 연구분야(X+AI)Humanities/Social Sciences, Logistics, Smart mobility

대표논문

Ham, S., H. Park, E. Kim, S. Kho, and D. Kim. “Investigating the Influential Factors for Practical Application of Multiclass Vehicle Detection for Images from Unmanned Aerial Vehicle Using Deep Learning Models.” Proceedings of the 99th Annual Meeting of the Transportation Research Board, Washington, D. C., U.S.A., January 12-16, 2020.
Kim, E., H. Park, S. Kho, and D. Kim*. (2019.12) “A Hybrid Approach Based on Variational Mode Decomposition for Analyzing and Predicting Urban Travel Speed.” Journal of Advanced Transportation, Vol. 2019, Article ID 3958127. https://doi.org/10.1155/2019/3958127.
Kim, E., H. Park, S. Ham, S. Kho, and D. Kim*. (2019.04) “Extracting Vehicle Trajectories Using Unmanned Aerial Vehicles in Congested Traffic Conditions.” Journal of Advanced Transportation, Vol. 2019, Article ID 9060797. https://doi.org/10.1155/2019/9060797.
Park, H., D. Kim*, and S. Kho. (2018.12) “Bayesian Network for Freeway Traffic State Prediction.” Transportation Research Record: Journal of the Transportation Research Board, Vol. 2672, No. 45, pp. 124-135. DOI: 10.1177/0361198118786824.
영상 기반 딥 생성 모델을 활용한 차로별 미시교통정보 생성, 과학기술정보통신부, 2019.09-2020.08
무인항공기와 루프검지기 기반의 통합차량검지시스템을 이용한 교통혼잡 관리전략 개발, 과학기술정통부, 2016.06-2019.05
5

신영기 융합과학기술대학원 분자의학및바이오제약학과

  • 연구실/전공분야분자병리학 연구실
  • 연구분야(AI 원천기술)Data Intelligence
  • 연구분야(X+AI)Bio, Medicine, Pharma

대표논문

Mi Jeong Kwon, Sae Byul Lee, Jinil Han, Jeong Eon Lee, Jong Won Lee, Gyungyub Gong, Peter D. Beitsch, Seok Jin Nam, Sei Hyun Ahn, Byung-Ho Nam, Young Kee Shin. BCT score predicts chemotherapy benefit in Asian patients with mone receptor-positive, HER2-negative, lymph node-negative breast cancer. PLoS One. 2018 Nov 21;13(11):e0207155. doi: 10.1371/journal.pone.0207155. eCollection 2018
Han J, Choi YL, Kim H, Choi JY, Lee SK, Lee JE, Choi JS, Park S, Choi JS, Kim YD, Nam SJ, Nam BH, Kwon MJ, Shin YK. MMP11 and CD2 as Novel Prognostic Factors in Hormone Receptor-Negative, HER2-Positive Breast Cancer. Breast Cancer Res Treat. 2017 Apr 13. doi: 10.1007/s10549-017-4234-4. [Epub ahead of print]
Gong G, Kwon MJ, Han J, Lee HJ, Lee SK, Lee JE, Lee SH, Park S, Choi JS, Cho SY, Ahn SH, Lee JW, Cho SR, Moon Y, Nam BH, Nam SJ, Choi YL, Shin YK. A new molecular prognostic score for predicting the risk of distant metastasis in patients with HR+/HER2- early breast cancer. Scientific Reports. 2017 Mar 28;7:45554. doi: 10.1038/srep45554.
Oh E, Choi Y-L, Park T, Lee S, Nam SJ, Shin YK. A prognostic model for lymph node-negative breast cancer patients based on the integration of proliferation and immunity. Breast Cancer Res Treat. 2012 Apr;132(2):499-509. doi: 10.1007/s10549-011-1626-8
4

이경식 공과대학 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

3

유병준 경영대학 경영학과

  • 연구실/전공분야Electronic Commerce, Digital Economy, Business Analytics, IT Strategy, AI Applications
  • 연구분야(AI 원천기술)Learning & Reasoning, Data Intelligence
  • 연구분야(X+AI)Finance, Commerce

대표논문

컨텐츠사용 형태 및 구매데이터 분석, 카카오페이, 2019
생체 건강나이 기반의 심뇌혈관질환 발생 위험 측정모델을 통한 노후필요 자금설계, NIA, 2018
2

주한별 공과대학 컴퓨터공학부

  • 연구실/전공분야비주얼 컴퓨팅 연구실
  • 연구분야(AI 원천기술)Learning & Reasoning,Vision & Perception,Robotics & Action
  • 연구분야(X+AI)

대표논문

BANMo: Building Animatable 3D Neural Models from Many Casual Videos, CVPR 2022
PIFuHD: Multi-Level Pixel-Aligned Implicit Function for High-Resolution 3D Human Digitization.CVPR 2020
Towards Social Artificial Intelligence: Nonverbal Social Signal Prediction in A Triadic Interaction, CVPR 2019
Panoptic Studio: A Massively Multiview System for Social Interaction Capture, TPAMI 2019
Total Capture: A 3D Deformation Model for Tracking Faces, Hands, and Bodies, CVPR 2018
1

나종연 생활과학대학 소비자학과

  • 연구실/전공분야Consumer Information & Retailing Lab.
  • 연구분야(AI 원천기술)Human-AI Interaction, Data Intelligence, AI Law & Ethics
  • 연구분야(X+AI)Humanities/Social Sciences, Commerce

대표논문

"Personalization-privacy paradox and consumer conflict with the use of location based commerce", Computers in Human Behavior, 63, 453-462
"Consumer ambivalence towards personlized technology and intention to use mobile commerce: The moderating role of gender", International Journal of Electrononic Commerce Studies, 8(2), 158-179
"온라인트래킹에 대한 소비자 인식과 정책적 시사점",  소비자학연구,  29(2), 171-198
온라인 환경에서 아동에 특화된 개인정보보호 연구, 한국인터넷진흥원, 2019.7-12.
패션이미지의 속성 분석을 통한 Fad Detection,  민간과제, 2019.

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