Dr Haowen Xu

Dr Haowen Xu

Postdoctoral Fellow

Ph.D., Civil Engineering                                                                                           

2015 - 2019

The University of Iowa, Iowa City, IA

Cumulative GPA: 3.90/4.00

Dissertation Title: “Data-Driven Framework for Forecasting Sedimentation at Culverts”

Focus Area: Hydroinformatics and Environmental Informatics

Passed the final thesis defense (on December 5th, 2018)

  • Received multiple travel grants and research fellowship from NSF, UCGIS, and CGRER
  • UI SETP (the University of Iowa Student Employee of the Year) Nominee

 

Graduate Certificate in Geoinformatics,                                                                 

2014 to 2016

The University of Iowa, Iowa City, IA

Cumulative GPA: 3.94/4.00

 

MS, Civil and Environmental Engineering                                                               

2013 - 2015

The University of Iowa, Iowa City, IA

Cumulative GPA: 4.00/4.00

Dissertation Title: “Prototype Hydroinformatics-based System for Supporting Decision Making in Culvert Design and Monitoring”

  • Received a Full-tuition Scholarship

 

B.S.E., Civil Engineering                                                                                           

2009 to 2013

The University of Iowa, Iowa City, IA

Cumulative G.P.A.: 3.54/4.00; Dean’s List

Thesis Title: “Search Engine for Iowa Watershed Data Information System”

  • Graduated with Honors in Civil Engineering
Arts, Design & Architecture (ADA)
School of Built Environment

Dr. Haowen Xu is a Research Fellow with the Geospatial Research Innovation and Development (GRID) Group at the University of New South Wales (UNSW), Australia. He previously served as a Research Scientist at Oak Ridge National Laboratory (ORNL), a U.S. Department of Energy national laboratory, and as an Adjunct Associate Professor in the Department of Industrial and Systems Engineering at the University of Tennessee, Knoxville (UTK). Dr. Xu received his PhD from the University of Iowa, USA, and holds a Graduate Certificate in Informatics. He is a Senior Member of the IEEE and has authored more than 30 peer-reviewed journal articles and over 35 conference papers, technical reports, and book chapters. He has secured competitive research funding and served as Co-Principal Investigator on multiple projects funded by the U.S. Department of Energy. His scholarly work has received over 1,000 citations and achieved an h-index of 17. His research contributions have been recognised through multiple Best Paper, Best Research, and Best Poster Awards from leading international conferences and professional organisations, including IEEE, IBPSA, CIE, and AWRA. He is also an inventor on multiple U.S. patents in smart city and intelligent infrastructure technologies.

 

  • Book Chapters | 2025
    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
    Book Chapters | 2023
    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 | 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
    Journal articles | 2026
    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
    Journal articles | 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
    Journal articles | 2026
    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
    Journal articles | 2025
    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
    Journal articles | 2025
    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
    Journal articles | 2024
    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
    Journal articles | 2024
    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
    Journal articles | 2024
    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
    Journal articles | 2024
    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
    Journal articles | 2024
    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
    Journal articles | 2024
    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
    Journal articles | 2024
    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
    Journal articles | 2023
    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
    Journal articles | 2022
    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
    Journal articles | 2022
    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
    Journal articles | 2022
    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
    Journal articles | 2022
    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
    Journal articles | 2022
    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
    Journal articles | 2021
    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
    Journal articles | 2021
    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
    Journal articles | 2021
    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
    Journal articles | 2021
    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
    Journal articles | 2021
    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
    Journal articles | 2020
    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
    Journal articles | 2019
    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
    Journal articles | 2019
    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
    Journal articles | 2016
    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
  • Preprints | 2026
    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
    Preprints | 2025
    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
    Preprints | 2025
    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
    Preprints | 2025
    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
    Preprints | 2025
    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
    Conference Papers | 2025
    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
    Preprints | 2024
    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
    Preprints | 2024
    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
    Preprints | 2024
    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
    Preprints | 2024
    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
    Conference Papers | 2024
    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
    Preprints | 2024
    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, http://dx.doi.org/10.48550/arxiv.2405.19464
    Preprints | 2024
    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
    Conference Papers | 2023
    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
    Conference Papers | 2022
    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
    Conference Papers | 2022
    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
    Conference Papers | 2022
    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
    Conference Papers | 2022
    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
    Conference Papers | 2021
    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
    Conference Papers | 2020
    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
    Conference Papers | 2017
    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 |
    Xu H; Zlatanova S; Gorte B; Lamsal R; Heslop D; Liang R; Canbulat I, A Pilot Study on a GPU-Accelerated Voxel Simulation Framework for 3D Indoor and Urban-Scale Gas Dispersion and Aerosol Transport, http://dx.doi.org/10.20944/preprints202606.1036.v1
    Preprints |
    Xu H; Zlatanova S; Liang R; Canbulat I, Heat Transfer–Driven Voxel-Based Simulation: A High-Performance Framework for Urban-Scale 3D Fire Spread, http://dx.doi.org/10.20944/preprints202607.0157.v1

  1. United States Department of Energy - Advanced Research Projects Agency-Energy (ARPA-E): $1,900,000

Title: A Cognitive Freight Transportation Digital Twin for Resiliency and Emission Control Through Optimizing Intermodal Logistics (RECOIL)

Role: Co-Principal Investigator (Co-PI) 

Duration: Fiscal Year 2023-Present

Project URL:  https://recoil.utk.edu/

URL: https://arpa-e.energy.gov/technologies/exploratory-topics/intermodal-freight

  1. United States Department of Energy - Nuclear Safety Research and Development (NSRD): $500,000

Title: ML-Assisted Atmospheric Hazard Modeling for Effective Geospatial Risk Analysis

Role: Co-Investigator

Duration: Fiscal Year 2023-Present

 

  1. United States Department of Energy - Vehicle Technologies Office (VTO): $4,000,000

Title: Scaling up the Realtime Data, Simulation and Artificial Intelligence (AI) and Control for Optimizing Regional Mobility

Role: Task Lead for developing Digital Twins

Duration: Fiscal Year 2021-2023

URL: https://www.energy.gov/eere/vehicles/articles/regional-mobility-chattanooga

 

  1. The Iowa Department of Transportation - The Iowa Highway Research Board (IHRB)

Title: Forecasting and Mitigation of Sedimentation at Culverts

Role: Co-Investigator

Duration: 01/2015-12/2015

URL: https://publications.iowa.gov/27032/1/TR%20665_Final%20Report_Mitigation%20of%20Sedimentation%20at%20Multi-Box%20Culverts.pdf

2024

Best Research Paper Award from the 51st International Conference on Computers & Industrial Engineering (CIE51), UNSW, Australia

2022

Best Poster Award from the 19th IEEE International Conference on Mobile Ad-hoc and Smart Systems (MASS)

2022

Award for the Most Creative Demonstration from IBPSA HackSimBuild 2022 competition in conjunction with Building Performance Analysis Conference and SimBuild 2022

2021

Invited presenter at the 1st GeoScale Workshop

2020

Significant Event Award (SEA) – ORNL, USDOE

Release of Real-time Ctwin v1.1 -- The Chattanooga Digital Twin for Mobility/Transportation

2018

Wayne L. Paulson Scholarship Award (1000 USD)

2018

Graduate College Post-Comprehensive Research Fellowship (9000 USD)

2017

UCGIS & NSF Travel Awards (2000 USD)

2017

CGRER Travel Award (600 USD)        

2017

UI SETP (the University of Iowa Student Employee of the Year) Nominee

2016

Invited presenter at the United States Environmental Protection Agency (USEPA) headquarters

2016

Best Student Oral Presentation Award from the American Water Resources Association (AWRA)

2015

CGRER Travel Award (750 USD)        

2013

Study Abroad International Student Merit-based Scholarship

2013

Segal Family Foundation Scholarship

2013

The University of Iowa Engineering College Merit-based Scholarship

 

His research focuses on the development and application of Generative AI, Agentic AI, Digital Twins, Scientific Computing, High-Performance Computing, Geospatial AI, and Physics-Informed Voxel Simulation for urban, environmental, transportation, and infrastructure systems. His work aims to bridge artificial intelligence, computational modelling, operations resaerch and decision support systems to address complex challenges in smart cities, environmental sustainability, infrastructure resilience, and emergency management.