高楠

   电子邮件: nannn.gao@gmail.com

   职 称: 副教授

   学 历: 博士

   所学专业: 运筹学与控制论

   研究方向: 普适计算、人机交互、情感计算、智能感知、智慧教育

   个人主页: https://nancygao.com/

个人简介

高楠，现任南开大学软件学院副教授，于2022年在澳大利亚皇家墨尔本理工大学（RMIT）计算机系获得博士学位，随后加入清华大学计算机系人机交互团队，担任水木学者博士后及助理研究员，并在澳大利亚新南威尔士大学（UNSW）计算机系做访问学者。近年来，在普适计算与人机交互领域发表论文16 篇（一作论文8篇），并开源贡献了迄今规模最大、数据类型最丰富的学生心理感知数据集En-Gage。其研究成果曾被澳大利亚新闻广播公司（ABC News）专访及全球百余家媒体报道。曾获IMWUT (CCF-A）杰出论文奖（一作）、Ubicomp '24 Workshop最佳论文奖（一作）、Ubicomp'20 最佳学术报告民选提名奖、国家优秀自费留学生奖、德国学术交流中心（DAAD）AINet Fellow等荣誉。此外，现担任普适计算与人机交互领域顶级期刊IMWUT副主编、中国计算机协会人机交互委员会执行委员、中国图像图形学会人机交互委员会委员等职务。主持中国博士后科学基金面上资助、国自然青年基金项目等。

本人研究旨在利用技术手段量化个体行为与心理特质，并探索合适的交互干预策略，以促进人类福祉与提升幸福感。对计算机科学、心理学与教育学的交叉领域方面尤为关注，特别是大模型在心理健康、情感陪伴和家庭教育领域的应用研究。欢迎对相关方向感兴趣的学生通过电子邮件联系我。更多信息请访问个人主页（https://nancygao.com/）。

教育工作经历

2022-2025，清华大学计算机系，水木学者博士后（合作导师：喻纯）

2023-2024，澳大利亚新南威尔士大学，访问学者

2018-2022，澳大利亚皇家墨尔本理工大学，博士（导师：Flora D. Salim, Wei Shao, Mohammad Saiedur Rahaman）

2016-2018，北京理工大学，工学硕士，软件工程专业

2012-2016，北京理工大学，工学学士，软件工程专业

科研项目

1. 大学生心理健康状况交互式感知方法研究, 国家自然科学基金青年科学基金项目, 2024.1-2026.12, 主持

2. 智能听戴设备的呼吸道健康高效感知与及时行为干预研究，国家自然科学基金面上项目, 2025.1-2028.12, 参与

3. 自然交互驱动的大学生心理健康智能感知，中国博士后科学基金第73批面上资助，2023.6-2025.3，主持

奖励荣誉（部分）

2024 Best Paper Award | Ubicomp Mental Health Workshop

2022 入选清华大学"水木学者"项目 | 清华大学

2021 国家优秀自费留学生奖 | 国家留学基金委

2021 Distinguished Paper Award | IMWUT/Ubicomp（CCF-A类会议）

2022 DAAD AINet Fellow | 德国学术交流中心

2022 HDR Computing Technologies Prize | STEM College, RMIT

2021 People's Choice Award, Three Minute Thesis competition | RMIT

已发表论文

（最新论文列表请查看个人主页https://nancygao.com/）

2024

[1] Gao, N., Yu, Z., Xu, Y., Yu, C., Wang, Y., Salim, F., Shi, Y. (2024). Leveraging Large Language Models for Generating Mobile Sensing Strategies in Human Behavior Modeling. In Adjunct Proceedings of the 2024 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2024 ACM International Symposium on Wearable Computers (UbiComp ’24). [Workshop] [Best Paper Award ] [PDF]

[2] Jing, X., Yu, C., Yue, K., Lu, L., Gao, N., Shi, W., Zhang, M., Wang, R., Shi, Y. (2024). AngleSizer: Enhancing Spatial Scale Perception for the Visually Impaired with an Interactive Smartphone Assistant. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 2024, 8(3): 1-31. [Rank A*, CCF A] [PDF]

[3] Ananthan, S., Gao, N., Salim, F. (2024). Understanding Physiological Responses of Students Over Different Courses., In Proceedings of the 2024 ACM International Symposium on Wearable Computers (ISWC ’24), New York, NY, USA, 104–110. [PDF]

[4] Zhang, X., Zhang, Y., Si, Y., Gao, N., Zhang, H., Yang. H. (2024). A High Altitude Respiration and SpO2 Dataset for Assessing the Human Response to Hypoxia. Scientific Data (Nature Portfolio), 11, 248. [SJR Q1, IF = 10.8][PDF]

[5] 汪聪, 张春红, 高楠, 金鑫，李国俊. (2024). 面向人工智能生成内容时代的图书馆服务适应与创新.情报理论与实践,1-10[2024-02-28]. http://kns.cnki.net/kcms/detail/11.1762.G3.20240220.1245.002.html.

2023

[6] 28(6), 1513-1542. Tao, J., Gong, J., Gao, N., Fu, S., Liang, S., Yu, C. (2023). Human-Computer Interaction for Virtual-Real Fusion. Journal of Image and Graphics, 28 (06). 陶建华, 龚江涛, 高楠, 傅四维, 梁山, & 喻纯. (2023). 面向虚实融合的人机交互. 中国图象图形学报. [PDF]

2022

[7] Gao, N. (2022). Human Behaviour Sensing and Profiling in the Wild (Doctoral dissertation, Ph. D. Dissertation. RMIT University). [PDF]

[8] Gao, N., Rahaman, M. S., Shao, W., Ji, K., & Salim, F. D. (2022) Individual and Group-wise Classroom Seating Experience: Effects on Student Engagement in Different Courses. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies. 6(3), 1–23. [Rank A*, CCF A] [PDF]

[9] Dong, B., Liu, Y., Mu, W. et al. A Global Building Occupant Behavior Database. Scientific Data (Nature Portfolio), 9, 369 (2022). https://doi.org/10.1038/s41597-022-01475-3 [SJR Q1, IF = 10.8] [PDF]

[10] Gao, N., Marschall, M., Burry, J., Watkins, S., & Salim, F. D. Understanding Occupants’ Behaviour, Engagement, Emotion, and Comfort Indoors with Heterogeneous Sensors and Wearables. Scientific Data (Nature Portfolio), 9, 261 (2022).  [SJR Q1, IF = 10.8] [PDF]

[11] Gao, N., Xue, H., Shao, W., Zhao, S., Qin, K. K., Prabowo, A., … Salim, F. D. (2022). Generative Adversarial Networks for Spatio-temporal Data: A Survey. ACM Transactions on Intelligent Systems and Technology,13, 2, Article 22 (April 2022). [SJR Q1, IF = 10.489] [PDF]

2021

[12] Gao, N., Rahaman, M. S., Shao, W., & Salim, F. D. (2021). Investigating the Reliability of Self-report Data in the Wild: The Quest for Ground Truth. In Adjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers (UbiComp ’21), 237–242. [Workshop] [PDF]

[13] Gao, N., Shao, W., Rahaman, M. S., Zhai, J., David, K., & Salim, F. D. (2021). Transfer Learning for Thermal Comfort Prediction in Multiple Cities. Building and Environment, 195, 107725. [SJR Q1, IF = 7.093, 中科院一区] [PDF]

2020年及以前

[14] Gao, N., Shao, W., Rahaman, M. S., & Salim, F. D. (2020). n-Gage: Predicting in-class Emotional, Behavioural and Cognitive Engagement in the Wild. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 4(3), 1–26. [Rank A*, CCF-A, Distinguished Paper Award��] [Presentation], [Teaser Video], [PDF]

[15] Kjærgaard, M. B., Ardakanian, O., Carlucci, S., Dong, B., Firth, S. K., Gao, N., … Salim, F. D. (2020). Current Practices and Infrastructure for Open Data based Research on Occupant-centric Design and Operation of Buildings. Building and Environment, 177, 106848. [SJR Q1, IF = 7.093][PDF]

[16] Li, D., Wang, S., Gao, N., He, Q., & Yang, Y. (2019). Cutting the Unnecessary Long Tail: Cost-Effective Big Data Clustering in the Cloud. IEEE Transactions on Cloud Computing, 1–1. [SJR Q1, IF = 5.679][PDF]

[17] Gao, N., Shao, W., & Salim, F. D. (2019). Predicting Personality Traits From Physical Activity Intensity. Computer, 52(7), 47–56. [SJR Q1, IF = 4.419][PDF]

开源数据集

[18] Gao, N., Marschall, M., Burry J., Watkins S., Salim F. (2021): In-Gauge and En-Gage Datasets. RMIT University. Dataset. [Download from Figshare], [Github], [Dataset Descriptor]

社会兼职

学术组织/服务：

IMWUT/Ubicomp (CCF-A类): Associate Editor

Ubicomp’25: Chair for Student Competition and Challenges

MobileHCI’25: Associate Chair

IDC’25: Associate Chair

ACSP’ 24: Program Chair

Electronics: Guest Editor (Call for paper by 15 Oct 2025)

Frontiers in Sustainable Cities: Guest Editor

AIoTSys’23: Publicity Chair

Ubicomp’22: Session Chair

技术委员会（TPC Member）

IDC’25, MobileHCI’24, Ubicomp WellComp Workshop’24, ChineseCHI’24, BuildSys’23, AIoTSys’23, ICT-CEEEL’23, Percom EmotionAware Workshop’24, 23

学术成员

中国计算机协会人机交互专委会执行委员、中国图像图形学会人机交互专委会委员、国际能源署合作项目IEA EBC Annex 79专家会员

会议学术评审

CHI’25’24’23, UbiComp’24’23’22’21’19, MUM’ 23, HHME’23, Percom’22, NeurIPS’22, BuildSys’21, etc.

期刊学术评审

IMWUT, IJHCS, Computers & Education, Building and Environment, Nature Scientific Report, IEEE Transactions on Multimedia, Pervasive and Mobile Computing (PMC), ACM Transactions on Intelligent Systems and Technology (TIST), Energy and Building, Applied Energy, Neurocomputing, Expert Systems with Applications, etc.