Ms Nan Gao
Visiting Fellow

Ms Nan Gao

Engineering
Computer Science and Engineering

Dr. Nan Gao is a postdoc fellow in the Pervasive HCI group at Tsinghua University. She received her Ph.D. degree from RMIT University in 2022. She obtained her Bachelor’s and Master’s degrees from the Beijing Institute of Technology (BIT) in 2016 and 2018. Her research interests are ubiquitous computing, mobile sensing, and human-computer interaction (HCI). In particular, her research specializes in utilising unobtrusive sensing data to infer human behaviours and mental states (e.g., personality, emotion, learning engagement), to help improve self-awareness and promote human wellbeing. She has published her research in top venues (e.g., PACM IMWUT/ UbiComp), released public datasets In-Gauge and En-Gage, and won the IMWUT Distinguished Paper Award in Ubicomp 2021.

  • Journal articles | 2022
    Dong B; Liu Y; Mu W; Jiang Z; Pandey P; Hong T; Olesen B; Lawrence T; O’Neil Z; Andrews C; Azar E; Bandurski K; Bardhan R; Bavaresco M; Berger C; Burry J; Carlucci S; Chvatal K; De Simone M; Erba S; Gao N; Graham LT; Grassi C; Jain R; Kumar S; Kjærgaard M; Korsavi S; Langevin J; Li Z; Lipczynska A; Mahdavi A; Malik J; Marschall M; Nagy Z; Neves L; O’Brien W; Pan S; Park JY; Pigliautile I; Piselli C; Pisello AL; Rafsanjani HN; Rupp RF; Salim F; Schiavon S; Schwee J; Sonta A; Touchie M; Wagner A; Walsh S; Wang Z; Webber DM; Yan D; Zangheri P; Zhang J; Zhou X; Zhou X, 2022, 'A Global Building Occupant Behavior Database', Scientific Data, 9, http://dx.doi.org/10.1038/s41597-022-01475-3
    Journal articles | 2022
    Gao N; Marschall M; Burry J; Watkins S; Salim FD, 2022, 'Understanding occupants’ behaviour, engagement, emotion, and comfort indoors with heterogeneous sensors and wearables', Scientific Data, 9, http://dx.doi.org/10.1038/s41597-022-01347-w
    Journal articles | 2022
    Gao N; Rahaman MS; Shao W; Ji K; Salim FD, 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, http://dx.doi.org/10.1145/3550335
    Journal articles | 2022
    Gao N; Xue H; Shao W; Zhao S; Qin KK; Prabowo A; Rahaman MS; Salim FD, 2022, 'Generative Adversarial Networks for Spatio-temporal Data: A Survey', ACM Transactions on Intelligent Systems and Technology, 13, http://dx.doi.org/10.1145/3474838
    Journal articles | 2022
    Li D; Wang S; Gao N; He Q; Yang Y, 2022, 'Cutting the Unnecessary Long Tail: Cost-Effective Big Data Clustering in the Cloud', IEEE Transactions on Cloud Computing, 10, pp. 292 - 303, http://dx.doi.org/10.1109/TCC.2019.2947678
    Journal articles | 2021
    Gao N; Shao W; Rahaman MS; Zhai J; David K; Salim FD, 2021, 'Transfer learning for thermal comfort prediction in multiple cities', Building and Environment, 195, http://dx.doi.org/10.1016/j.buildenv.2021.107725
    Journal articles | 2020
    Kjærgaard MB; Ardakanian O; Carlucci S; Dong B; Firth SK; Gao N; Huebner GM; Mahdavi A; Rahaman MS; Salim FD; Sangogboye FC; Schwee JH; Wolosiuk D; Zhu Y, 2020, 'Current practices and infrastructure for open data based research on occupant-centric design and operation of buildings', Building and Environment, 177, http://dx.doi.org/10.1016/j.buildenv.2020.106848
    Journal articles | 2019
    Gao N; Shao W; Salim FD, 2019, 'Predicting Personality Traits from Physical Activity Intensity', Computer, 52, pp. 47 - 56, http://dx.doi.org/10.1109/MC.2019.2913751
    Journal articles | 2019
    Li D; Ye D; Gao N; Wang S, 2019, 'Service selection with qos correlations in distributed service-based systems', IEEE Access, 7, pp. 88718 - 88732, http://dx.doi.org/10.1109/ACCESS.2019.2926127
  • Preprints | 2023
    Gao N; Ananthan S; Yu C; Wang Y; Salim FD, 2023, Critiquing Self-report Practices for Human Mental and Wellbeing Computing at Ubicomp, , http://arxiv.org/abs/2311.15496v1
    Preprints | 2023
    Gao N; Yu Z; Yu C; Wang Y; Salim FD; Shi Y, 2023, Automated Mobile Sensing Strategies Generation for Human Behaviour Understanding, , http://arxiv.org/abs/2311.05457v1
    Preprints | 2022
    Heinisch JS; Gao N; Anderson C; Deldari S; David K; Salim F, 2022, Investigating the Effects of Mood & Usage Behaviour on Notification Response Time, , http://arxiv.org/abs/2207.03405v1
    Preprints | 2021
    Gao N; Rahaman MS; Shao W; Ji K; Salim FD, 2021, Individual and Group-wise Classroom Seating Experience: Effects on Student Engagement in Different Courses, , http://dx.doi.org/10.1145/3550335
    Conference Papers | 2021
    Gao N; Saiedur Rahaman M; Shao W; Salim FD, 2021, 'Investigating the Reliability of Self-report Data in the Wild: The Quest for Ground Truth', in UbiComp/ISWC 2021 - 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, pp. 237 - 242, http://dx.doi.org/10.1145/3460418.3479338
    Preprints | 2020
    Gao N; Xue H; Shao W; Zhao S; Qin KK; Prabowo A; Rahaman MS; Salim FD, 2020, Generative Adversarial Networks for Spatio-temporal Data: A Survey, , http://dx.doi.org/10.1145/3474838

  • 2022 Tsinghua Shuimu Scholar (Postdoc Fellowship)
  • 2022 HDR Computing Technologies Prize, STEM College, RMIT
  • 2022 DAAD AInet Fellowship
  • 2022 Chinese Government Award for Outstanding Self-financed Students Abroad
  • 2021 IMWUT Distinguished Paper Award, Ubicomp
  • 2021 People’s Choice Award, Three Minute Thesis competition, RMIT
  • 2021 Winner of Three Minute Thesis competition, School of Computing Technologies, RMIT
  • 2020 SCT HDR Research Achievement Award, School of Computing Technologies, RMIT
  • 2020 People’s Choice Award in CIDDA Research Day (CRdD’20), RMIT 
  • 2020 The Finalist of Best Talk award in Ubicomp 2020
  • 2019 Winner of Linfox Fuel Hackathon, 5000 AUD Award
  • 2018 Stipend and Tuition Fee Scholarship of RMIT