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Dr. Xi Hu

Assistant Professor
  • About
  • Education
  • Awards & Honors
  • Selected Research

Biography

Dr. Hu is currently an Assistant Professor of Construction Management in the Department of Technology at ISU. Before this appointment, he was at New Jersey Institute of Technology for academic training and obtained his Ph.D. degree in Civil Engineering (Construction Management focus). He has mentored more than 10 students from high school to graduate school levels for research and served as a reviewer for various prestigious journals in his field, such as ASCE Journal of Management in Engineering, ASCE Journal of Construction Engineering and Management, and Building and Environment. His research work has been published in plenty of well-known journals like ASCE Journal of Computing in Civil Engineering, ASCE Journal of Bridge Engineering, Expert Systems With Applications, Journal of Building Engineering, and ASCE International Journal of Geomechanics.

Current Courses

TEC 400.003 Independent Study

TEC 224.001 Soils And Foundations

TEC 224.002 Soils And Foundations

Teaching Interests & Areas

Construction materials, cost estimating, soil mechanics, strength of materials, and building information modeling.

Research Interests & Areas

Dr. Hu's primary research interests are construction automation, digital twins, applied robotics and artificial intelligence, smart sensing, and data analytics. Research areas include (1) digitization of built environment, (2) smart workforce monitoring and management (workforce safety and productivity), (3) intelligent infrastructure systems, and (4) structural health monitoring.

His research aims to advance and enrich the managerial practices of built assets (e.g., buildings, bridges, and pavements), construction workforce, and civil infrastructures through domain knowledge-enhanced, data-driven, technology-enabled, and AI-powered solutions.

PhD Civil Engineering

New Jersey Institute of Technology
Newark, New Jersey

MS Project Management

Illinois State University
Normal, Illinois

BE Hydrology and Water Resources Engineering

Southwest University
Chongqing, China

Doctoral Excellence Award

New Jersey Institute of Technology
2025

3-Minute-Thesis Compitition Honorable Mention

New Jersey Institute of Technology
2025

Conference Proceeding

Hierarchical vision transformer-based deep learning architecture, RGB-D sensing fusion, and multimodal LLM-based generative AI pipeline for automated pavement pothole segmentation, quantification, and repair recommendation (in press)
Xi Hu, Rayan H. Assaad, Mohamad Awada, Thomas Catuosco.
ASCE International Conference on Computing in Civil Engineering, (2025)
LLM-based retrieval-augmented generation (RAG) pipeline with multi-modal RGB-D sensing fusion and deep learning computer vision for automated monitoring, scene understanding, and mitigation of worker-machinery proximity safety issues on construction jobsites (in press)
Xi Hu, Rayan H. Assaad, Mohamad Awada, Harshit Singh, Ananya Choubey.
ASCE International Conference on Computing in Civil Engineering, (2025)
Automated heat stress monitoring and water-spraying robotic system for improving work conditions using drone (UAV) infrared thermography
Xi Hu, Rayan H. Assaad.
ASCE Construction Institute & Construction Research Congress Joint Conference, (2024), https://doi.org/10.1061/9780784485262.076
Intelligent inspection and warning robotic system for onsite construction safety monitoring using computer vision and unmanned ground vehicle.
Xi Hu, Rayan H. Assaad.
ASCE Construction Institute & Construction Research Congress Joint Conference, (2024), https://doi.org/10.1061/9780784485293.063

Presentations

Hierarchical vision transformer-based deep learning architecture, RGB-D sensing fusion, and multimodal LLM-based generative AI pipeline for automated pavement pothole segmentation, quantification, and repair recommendation
Xi Hu.
ASCE International Conference on Computing in Civil Engineering, New Orleans, Louisiana, May, 2025
LLM-based retrieval-augmented generation (RAG) pipeline with multi-modal RGB-D sensing fusion and deep learning computer vision for automated monitoring, scene understanding, and mitigation of worker-machinery proximity safety issues on construction jobsites
Xi Hu.
ASCE International Conference on Computing in Civil Engineering, New Orleans, Louisiana, May, 2025
Automated heat stress monitoring and water-spraying robotic system for improving work conditions using drone (UAV) infrared thermography
Xi Hu.
ASCE Construction Institute & Construction Research Congress Joint Conference, Des Moines, Iowa, May, 2024
Intelligent inspection and warning robotic system for onsite construction safety monitoring using computer vision and unmanned ground vehicle.
Xi Hu.
ASCE Construction Institute & Construction Research Congress Joint Conference, Des Moines, Iowa, May, 2024