| Z Zhang, S Ren, X Qian, N Duffield (2024), Learning Flexible Time-windowed Granger Causality Integrating Heterogeneous Interventional Time Series Data, ACM SIGKDD Conference on Knowledge Discovery and Data Mining |
| Z Zhang, D Li, Z Zhang, N Duffield (2024), Mining Spatiotemporal Mobility Patterns Using Improved Deep Time Series Clustering, ISPRS International Journal of Geo-Information 13 (11), 374 |
| Farinoush Sharifi, Mark Burris, Luca Quadrifoglio, Nick Duffield, Xiaodan Xu, Alexander Meitiv, Yanzhi Ann Xu (2024), Electric truck feasibility for port drayage operations: Port Houston case study, Transportation Research Part D: Transport and Environment, Volume 135, 2024, 104355, https://doi.org/10.1016/j.trd.2024.104355 |
| Ziyi Zhang, Shaogang Ren, Xiaoning Qian, and Nick Duffield (2024). Towards Invariant Time Series Forecasting in Smart Cities. In Companion Proceedings of the ACM Web Conference 2024 (WWW ’24 Companion), May 13–17, 2024, Singapore, Singapore. ACM, New York, NY, USA, 7 pages. https://doi.org/10.1145/3589335.3651897 |
| Xinyue Ye, Shoujia Li, Ge Gao, David Retchless, Zhenhang Cai, Galen Newman, Jiaxin Du, Nick Duffield, 3D visualization of hurricane storm surge impact on urban infrastructure. Urban Info 3, 9 (2024). https://doi.org/10.1007/s44212-024-00043-x |
| Pi, Yalong, Egleu Mendes, Luis Tedeschi, Jian Tao, Siddhanth Reddy, and Nick Duffield. “Using Computer Vision Pixel Segmentation to Detect Beef Cattle Feeding Behavior.” 2023. Submitted. |
| Chakraborty, Snehashis, Hernan Santos Barrera, Nick Duffield, Michael Fox, Walter Magnussen, Patrick Newman, Anjuli Renold, Jian Tao, and Valerie Vetrone (2024). “Creating a Shared Public Safety Radio Dataset.” 2024 IEEE World Forum on Public Safety Technology (WF-PST). To appear. |
| Raghukumar, H. et al. “Smart Communities, Smart Responders – Artificial Intelligence for Internet of Things Competition: A Case Study in Organizing a Public Safety Innovation Challenge.” 2024 IEEE World Forum on Public Safety Technology (WF-PST). To appear. |
 | Tao, Jian, Egleu D. Mendes, Yalong Pi, Andrew Cassity, R. R. Male, K. Kaniyamattam, et al. “Hands-On Iii: Building Digital Twins for Precision Livestock Farming: Data Analytics and Big Data Challenges.” Journal of Animal Science, vol. 101, no. Supplement_3, 2023, pp. 75-76. https://doi.org/10.1093/jas/skad281.092 |
 | Li, Diya, Zhe Zhang, Bahareh Alizadeh, Ziyi Zhang, Nick Duffield, Michelle A. Meyer, Courtney M. Thompson, Huilin Gao, and Amir H. Behzadan. “A reinforcement learning-based routing algorithm for large street networks.” International Journal of Geographical Information Science, 2023. DOI: 10.1080/13658816.2023.2279975. |
 | Zhang, Ziyi, Diya Li, Zhenlei Song, Nick Duffield, and Zhe Zhang. “Location-Aware Social Network Recommendation via Temporal Graph Networks.” Proceedings of the 7th ACM SIGSPATIAL Workshop on Location-based Recommendations, Geosocial Networks and Geoadvertising (LocalRec ’23), Association for Computing Machinery, 2023, pp. 58–61. DOI: 10.1145/3615896.3628342. |
| Sharifi, Farinoush, Mark Burris, Luca Quadrifoglio, Nick Duffield, Xiaodan Xu, and Alexander Meitiv. “Heavy-duty Battery Electric Trucks for Port Drayage Operations: A Feasibility Study.” Transportation Research Board 2023 Annual Meeting, 2023. |
 | Chih-Shen, C., Yalong Pi, Tim L., Nick D., and Amir H. B. “Pedestrian phone-related distracted behavior classification in front-facing vehicle cameras for road user safety.” I3CE 2023: 2023 ASCE International Conference on Computing in Civil Engineering. https://ascelibrary.org/doi/10.1061/9780784485248.050 |
 | Pi, Yalong, Nick Duffield, Amir Behzadan, and Tim Lomax. “Lane-specific speed analysis in urban work zones with computer vision.” Traffic Injury Prevention, vol. 24, no. 3, 2023, pp. 242-250. DOI: 10.1080/15389588.2023.2173522. |
| Pi, Yalong, Xinyue Ye, and Nick Duffield. “Rapid Disaster Damage Estimation Based On Geo-referenced Social Media Data.” AGU Fall Meeting Abstracts, vol. 2022, December, 2022, pp. NH14A-03. |
| Duffield, Nick. “Inspiring Data Science Research through Collaboration with University Operations.” Keynote Talk, ACM Sigmetrics / IFIP Performance Conference, 2022. |
 | Pi, Yalong, Xinyue Ye, Nick Duffield, and Microsoft AI for Humanitarian Action Group. “Rapid Damage Estimation of Texas Winter Storm Uri from Social Media Using Deep Neural Networks.” Urban Sci., vol. 6, no. 3, 2022, p. 62. https://www.mdpi.com/2413-8851/6/3/62 |
 | Pi, Y., T. Lomax, N. Duffield, and A. Behzadan. “Visual Recognition for Traffic Information Retrieval and Analysis in Major Events Using Convolutional Neural Networks.” Comp. Urban Sci., vol. 2, no. 2, 2022. https://link.springer.com/article/10.1007/s43762-021-00031-w |
 | Lin, B., L. Zou, N. Duffield, A. Mostafavi, H. Cai, B. Zhou, et al. “Revealing the linguistic and geographical disparities of public awareness to Covid-19 outbreak through social media.” International Journal of Digital Earth, vol. 15, no. 1, 2022, pp. 868-889. https://doi.org/10.1080/17538947.2022.2070677 |
| Zhang, Ziyi, Diya Li, Zhe Zhang, and N. Duffield. “A time-series clustering algorithm for analyzing the changes of mobility pattern caused by COVID-19.” HANIMOB ’21: Proc. 1st ACM SIGSPATIAL International Workshop on Animal Movement Ecology and Human Mobility, November 2021. https://dl.acm.org/doi/10.1145/3486637.3489489 |
