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Select Publications

Book Chapters

Xu H; Yuan J; Zhou A; Xu G; Li W; Ban X; Ye X, 2025, 'Generative Artificial Intelligence–Powered Multi-Agent Paradigm for Smart Urban Mobility', in Urban Human Mobility, Taylor & Francis, pp. 123 - 137, http://dx.doi.org/10.1201/9781003503262-14

Xu H; Berres A; Shao Y; Wang C; New JR; Omitaomu OA, 2023, 'Toward a Smart Metaverse City', in Advances in Scalable and Intelligent Geospatial Analytics, Taylor & Francis, pp. 245 - 257, http://dx.doi.org/10.1201/9781003270928-18

Journal articles

Xu H; Zlatanova S; Li X; Wachowicz M; Batty M, 2026, 'Towards fully automated city operations: Integrating agentic AI with urban digital twins', Computers Environment and Urban Systems, 128, http://dx.doi.org/10.1016/j.compenvurbsys.2026.102449

Xu H; Zlatanova S; Liang R; Canbulat I, 2026, 'Community-oriented Wildfire Planning with Agentic AI: Automated Fire Spread Simulation and Interactive 3D Visualization', ISPRS Annals of the Photogrammetry Remote Sensing and Spatial Information Sciences, 11, pp. 251 - 258, http://dx.doi.org/10.5194/isprs-annals-XI-4-2026-251-2026

Xu H; Zlatanova S; Liang R; Canbulat I, 2026, 'A Modular Light-weight Voxel-Based 3D Wildfire Propagation Simulator in Python Using LiDAR Data, High-Performance Computing (HPC), and Immersive Scientific Visualization', ISPRS Annals of the Photogrammetry Remote Sensing and Spatial Information Sciences, 10, pp. 127 - 134, http://dx.doi.org/10.5194/isprs-annals-X-3-W3-2025-127-2026

Xu H; Boyaci A; Lian J; Wilson AJ, 2026, 'Explainable AI for Multivariate Time Series Pattern Exploration: Latent Space Visual Analytics With Temporal Fusion Transformer and Variational Autoencoders in Power Grid Event Diagnosis', IEEE Access, 14, pp. 11744 - 11767, http://dx.doi.org/10.1109/ACCESS.2025.3602635

Xu H; Zlatanova S; Liang R; Canbulat I, 2025, 'Generative AI as a Pillar for Predicting 2D and 3D Wildfire Spread: Beyond Physics-Based Models and Traditional Deep Learning', Fire, 8, http://dx.doi.org/10.3390/fire8080293

Steckler MR; Birdwell KR; Xu H; YU X-Y, 2025, 'Descriptor: High Temporal Resolution Meteorological Data at Oak Ridge Reservation (ORR-HiResMet)', IEEE Data Descriptions, 2, pp. 118 - 124, http://dx.doi.org/10.1109/ieeedata.2025.3571018

Xu H; Omitaomu F; Sabri S; Zlatanova S; Li X; Song Y, 2024, 'Leveraging generative AI for urban digital twins: a scoping review on the autonomous generation of urban data, scenarios, designs, and 3D city models for smart city advancement', Urban Informatics, 3, http://dx.doi.org/10.1007/s44212-024-00060-w

Tupayachi J; Xu H; Omitaomu OA; Camur MC; Sharmin A; Li X, 2024, 'Towards Next-Generation Urban Decision Support Systems through AI-Powered Construction of Scientific Ontology Using Large Language Models—A Case in Optimizing Intermodal Freight Transportation', Smart Cities, 7, pp. 2392 - 2421, http://dx.doi.org/10.3390/smartcities7050094

Shi L; Qu M; Liu X; Pablo Venegas T; Wang L; Dong J; Cui B; Xu H; Liu X; Li Y, 2024, 'Performance evaluation of underground thermal storage integrated dual-source heat pump systems', Energy and Buildings, 316, http://dx.doi.org/10.1016/j.enbuild.2024.114349

Moriano P; Berres A; Xu H; Sanyal J, 2024, 'Spatiotemporal features of traffic help reduce automatic accident detection time[Formula presented]', Expert Systems with Applications, 244, http://dx.doi.org/10.1016/j.eswa.2023.122813

Xu H; Shao Y; Chen J; Wang C; Berres A, 2024, 'Semi-Automatic Geographic Information System Framework for Creating Photo-Realistic Digital Twin Cities to Support Autonomous Driving Research', Transportation Research Record, 2678, pp. 1068 - 1084, http://dx.doi.org/10.1177/03611981231205884

Xu H; Yuan J; Berres A; Shao Y; Wang C; Li W; Laclair TJ; Sanyal J; Wang H, 2024, 'A Mobile Edge Computing Framework for Traffic Optimization at Urban Intersections Through Cyber-Physical Integration', IEEE Transactions on Intelligent Vehicles, 9, pp. 1131 - 1145, http://dx.doi.org/10.1109/TIV.2023.3332256

Berres A; Moriano P; Xu H; Tennille S; Smith L; Storey J; Sanyal J, 2024, 'A traffic accident dataset for Chattanooga, Tennessee', Data in Brief, 55, pp. 110675, http://dx.doi.org/10.1016/j.dib.2024.110675

Xu H; Berres A; Yoginath SB; Sorensen H; Nugent PJ; Severino J; Tennille SA; Moore A; Jones W; Sanyal J, 2023, 'Smart Mobility in the Cloud: Enabling Real-Time Situational Awareness and Cyber-Physical Control Through a Digital Twin for Traffic', IEEE Transactions on Intelligent Transportation Systems, 24, pp. 3145 - 3156, http://dx.doi.org/10.1109/TITS.2022.3226746

Xu H; Berres A; Tennille SA; Ravulaparthy SK; Wang C; Sanyal J, 2022, 'Continuous Emulation and Multiscale Visualization of Traffic Flow Using Stationary Roadside Sensor Data', IEEE Transactions on Intelligent Transportation Systems, 23, pp. 10530 - 10541, http://dx.doi.org/10.1109/TITS.2021.3094808

Xu H; Berres A; Liu Y; Allen-Dumas MR; Sanyal J, 2022, 'An overview of visualization and visual analytics applications in water resources management', Environmental Modelling and Software, 153, http://dx.doi.org/10.1016/j.envsoft.2022.105396

Muste M; Xu H, 2022, 'Multi-pronged approach for monitoring sedimentation processes at multi-barrel culverts', Journal of Hydrology, 610, http://dx.doi.org/10.1016/j.jhydrol.2022.127840

Xu H; Wang C; Berres A; Laclair T; Sanyal J, 2022, 'Interactive Web Application for Traffic Simulation Data Management and Visualization', Transportation Research Record, 2676, pp. 274 - 292, http://dx.doi.org/10.1177/03611981211035760

Kurte K; Berres A; Xu H, 2022, 'The 15th ACM SIGSPATIAL International Workshop on Computational Transportation Science (IWCTS 2022), Seattle, WA, USA - November 1, 2022', SIGSPATIAL Special, 14, pp. 12 - 18, http://dx.doi.org/10.1145/3632268.3632273

Allen-Dumas MR; Xu H; Kurte KR; Rastogi D, 2021, 'Toward Urban Water Security: Broadening the Use of Machine Learning Methods for Mitigating Urban Water Hazards', Frontiers in Water, 2, pp. 562304, http://dx.doi.org/10.3389/frwa.2020.562304

Li X; Xu H; Huang X; Guo CA; Kang Y; Ye X, 2021, 'Emerging geo-data sources to reveal human mobility dynamics during COVID-19 pandemic: opportunities and challenges', Computational Urban Science, 1, pp. 22, http://dx.doi.org/10.1007/s43762-021-00022-x

Xu H; Berres A; Thakur G; Sanyal J; Chinthavali S, 2021, 'EPIsembleVis: A geo-visual analysis and comparison of the prediction ensembles of multiple COVID-19 models', Journal of Biomedical Informatics, 124, pp. 103941, http://dx.doi.org/10.1016/j.jbi.2021.103941

Berres AS; Xu H; Tennille SA; Severino J; Ravulaparthy S; Sanyal J, 2021, 'Explorative Visualization for Traffic Safety using Adaptive Study Areas', Transportation Research Record Journal of the Transportation Research Board, 2675, pp. 51 - 69, http://dx.doi.org/10.1177/0361198120981065

Berres AS; LaClair TJ; Wang C; Xu H; Ravulaparthy S; Todd A; Tennille SA; Sanyal J, 2021, 'Multiscale and Multivariate Transportation System Visualization for Shopping District Traffic and Regional Traffic', Transportation Research Record Journal of the Transportation Research Board, 2675, pp. 23 - 37, http://dx.doi.org/10.1177/0361198120970526

Xu H; Windsor M; Muste M; Demir I, 2020, 'A web-based decision support system for collaborative mitigation of multiple water-related hazards using serious gaming', Journal of Environmental Management, 255, http://dx.doi.org/10.1016/j.jenvman.2019.109887

Xu H; Demir I; Koylu C; Muste M, 2019, 'A web-based geovisual analytics platform for identifying potential contributors to culvert sedimentation', Science of the Total Environment, 692, pp. 806 - 817, http://dx.doi.org/10.1016/j.scitotenv.2019.07.157

Xu H; Muste M; Demir I, 2019, 'Web-based geospatial platform for the analysis and forecasting of sedimentation at culverts', Journal of Hydroinformatics, 21, pp. 1064 - 1081, http://dx.doi.org/10.2166/hydro.2019.068

Basnet K; Muste M; Constantinescu G; Ho H; Xu H, 2016, 'Close range photogrammetry for dynamically tracking drifted snow deposition', Cold Regions Science and Technology, 121, pp. 141 - 153, http://dx.doi.org/10.1016/j.coldregions.2015.08.013

Conference Papers

Yoginath SB; Ahmad N; Gunaratne C; Amichi L; Kim J-S; Burger A; Xu H; Bishnoi B; Christopher SC; Thakur GM, 2025, 'A Scalable Multi-Modal Framework for High-Fidelity Distributed Human Mobility Simulations', Association for Computing Machinery (ACM), pp. 1 - 11, presented at Proceedings of the 8th ACM SIGSPATIAL International Workshop on Geospatial Simulation, http://dx.doi.org/10.1145/3764921.3770146

Xu H; Li X; Tupayachi J; Lian J; Omitaomu OA, 2024, 'Automating Bibliometric Analysis with Sentence Transformers and Retrieval-Augmented Generation (RAG): A Pilot Study in Semantic and Contextual Search for Customized Literature Characterization for High-Impact Urban Research', in Urban AI 2024 Proceedings of the 2nd ACM Sigspatial International Workshop on Advances in Urban AI, pp. 43 - 49, http://dx.doi.org/10.1145/3681780.3697252

Niloofar P; Lazarova-Molnar S; Omitaomu F; Xu H; Li X, 2023, 'A General Framework for Human-in-the-Loop Cognitive Digital Twins', Institute of Electrical and Electronics Engineers (IEEE), pp. 3202 - 3213, presented at 2023 Winter Simulation Conference (WSC), http://dx.doi.org/10.1109/wsc60868.2023.10407598

Shao Y; Wang C; Berres A; Yoshioka J; Cook A; Xu H, 2022, 'Computer Vision-Enabled Smart Traffic Monitoring for Sustainable Transportation Management', American Society of Civil Engineers (ASCE), pp. 34 - 45, presented at International Conference on Transportation and Development 2022, http://dx.doi.org/10.1061/9780784484319.004

Chinthavali S; Hasan SMS; Yoginath S; Xu H; Nugent P; Jones T; Engebretsen C; Olatt J; Tansakul V; Christopher C; Polsky Y, 2022, 'An Alternative Timing and Synchronization Approach for Situational Awareness and Predictive Analytics', Institute of Electrical and Electronics Engineers (IEEE), pp. 172 - 177, presented at 2022 IEEE 23rd International Conference on Information Reuse and Integration for Data Science (IRI), http://dx.doi.org/10.1109/iri54793.2022.00047

Xu H; Yuan J; Wang C; Shao Y; Berres A; Laclair T, 2022, 'A Mobile App for Intersectional Traffic Optimization through Real-Time Vehicle-to-Infrastructure (V2I) Communication and Cyber-Physical Control', in Proceedings 2022 IEEE 19th International Conference on Mobile Ad Hoc and Smart Systems Mass 2022, pp. 260 - 261, http://dx.doi.org/10.1109/MASS56207.2022.00044

Xu H; Liu X; Lian J; Li Y; Malhotra M; Omitaomu OA, 2022, 'A geo-visual analysis for exploring the socioeconomic benefits of the heating electrification using geothermal energy', Association for Computing Machinery (ACM), pp. 11 - 15, presented at Proceedings of the 5th ACM SIGSPATIAL International Workshop on Advances in Resilient and Intelligent Cities, http://dx.doi.org/10.1145/3557916.3567823

Xu H; Berres A; Wang CR; LaClair TJ; Sanyal J, 2021, 'Visualizing Vehicle Acceleration and Braking Energy at Intersections along a Major Traffic Corridor', Association for Computing Machinery (ACM), pp. 401 - 405, presented at Proceedings of the Twelfth ACM International Conference on Future Energy Systems, http://dx.doi.org/10.1145/3447555.3466603

Thakur G; Sparks K; Berres A; Tansakul V; Chinthavali S; Whitehead M; Schmidt E; Xu H; Fan J; Spears D; Cranfill E, 2020, 'COVID-19 Joint Pandemic Modeling and Analysis Platform', Association for Computing Machinery (ACM), pp. 43 - 52, presented at Proceedings of the 1st ACM SIGSPATIAL International Workshop on Modeling and Understanding the Spread of COVID-19, http://dx.doi.org/10.1145/3423459.3430760

Muste M; Carson A; Xu H; Mocanu M, 2017, 'Community Engagement in Water Resources Planning Using Serious Gaming', Institute of Electrical and Electronics Engineers (IEEE), pp. 445 - 451, presented at 2017 13th IEEE International Conference on Intelligent Computer Communication and Processing (ICCP), http://dx.doi.org/10.1109/iccp.2017.8117046

Preprints

Lamsal R; Zlatanova S; Xu H; Sun Y; Shen JX, 2026, IfcLLM: Natural Language Querying of IFC Models through Complementary Relational and Graph Representations, http://dx.doi.org/10.48550/arxiv.2605.13236

Xu H; Tupayachi J; Yu X-Y, 2025, Context-Aware Visual Prompting: Automating Geospatial Web Dashboards with Large Language Models and Agent Self-Validation for Decision Support, http://dx.doi.org/10.48550/arxiv.2511.20656

Xu H; Zlatanova S; Liang R; Canbulat I, 2025, Generative AI as a Pillar for Predicting 2D and 3D Wildfire Spread: Beyond Physics-Based Models and Traditional Deep Learning, http://dx.doi.org/10.48550/arxiv.2506.02485

Xu H; Sun Y; Tupayachi J; Omitaomu O; Zlatanova S; Li X, 2025, Towards the Autonomous Optimization of Urban Logistics: Training Generative AI with Scientific Tools via Agentic Digital Twins and Model Context Protocol, http://dx.doi.org/10.48550/arxiv.2506.13068

Steckler MR; Birdwell KR; Xu H; Yu X-Y, 2025, Descriptor: Five years of meteorological surface data at Oak Ridge Reserve in Tennessee, http://dx.doi.org/10.48550/arxiv.2502.05191

Xu H; Boyaci A; Lian J; Wilson A, 2024, Explainable AI for Multivariate Time Series Pattern Exploration: Latent Space Visual Analytics with Temporal Fusion Transformer and Variational Autoencoders in Power Grid Event Diagnosis, http://dx.doi.org/10.48550/arxiv.2412.16098

Xu H; Li X; Tupayachi J; Jianming ; Lian ; Omitaomu F, 2024, Automating Bibliometric Analysis with Sentence Transformers and Retrieval-Augmented Generation (RAG): A Pilot Study in Semantic and Contextual Search for Customized Literature Characterization for High-Impact Urban Research, http://dx.doi.org/10.48550/arxiv.2410.09090

Li X; Xu H; Tupayachi J; Omitaomu O; Wang X, 2024, Empowering Cognitive Digital Twins with Generative Foundation Models: Developing a Low-Carbon Integrated Freight Transportation System, http://dx.doi.org/10.48550/arxiv.2410.18089

Tupayachi J; Xu H; Omitaomu OA; Camur MC; Sharmin A; Li X, 2024, Towards Next-Generation Urban Decision Support Systems through AI-Powered Construction of Scientific Ontology using Large Language Models -- A Case in Optimizing Intermodal Freight Transportation, http://dx.doi.org/10.48550/arxiv.2405.19255

Xu H; Yuan J; Zhou A; Xu G; Li W; Ban X; Ye X, 2024, GenAI-powered Multi-Agent Paradigm for Smart Urban Mobility: Opportunities and Challenges for Integrating Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) with Intelligent Transportation Systems, http://dx.doi.org/10.48550/arxiv.2409.00494


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