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.

 

  • 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 | 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
    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
  • 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

  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.