Development and Application of Industry 4.0 in Transportation (I4T) Research group

About Our Research Group

The Development and Application of Industry 4.0 in Transportation group (I4T) is a research collective from the University of Transport Technology, comprising 29 members. Our research focuses on the application of Artificial Intelligence (AI), Big Data, and Nanotechnology to enhance material performance, structural analysis, and intelligent traffic management. To realize these goals, our work focuses on the following areas.

1. AI & Digitalization in Engineering: Applying Explainable AI (XAI), Machine Learning, and simulation tools to predict material properties and forecast the mechanical performance and durability of concrete, steel, and composite structure.

2. Advanced & Sustainable Materials: Developing high-performance materials including nano-modified asphalt, graphene-enhanced composites, and eco-friendly solutions like geopolymers and recycled concrete.

3. Smart Transportation & IoT: Implementing Internet of Things (IoT) and microcontroller-based systems for structural health monitoring, traffic management, and environmental emission forecasting.

4. Digital Construction Management: Utilizing automation and data-driven approaches for quality control, project monitoring, and the optimization of construction processes.

No

Name

Prof/PhD/MSc

Affiliation

Role

Email

Note

1

Ly Hai Bang

Assoc. Prof. PhD

University of Transport Technology (UTT)

Team Leader

banghl@utt.edu.vn

 

2

Nguyen Thuy Anh

Assoc. Prof. PhD

University of Transport Technology (UTT)

Co-Leader

anhnt@utt.edu.vn

 

3

Nguyen Thu Thuy Hien

PhD

University of Transport Technology (UTT)

Deputy Team Leader

hienttn@utt.edu.vn

 

4

Ngo Thi Thu Tinh

MSc

University of Transport Technology (UTT)

Scientific Secretary

tinhttn@utt.edu.vn

 

5

Hoang Thi Huong Giang

PhD

University of Transport Technology (UTT)

Key Member

gianghth@utt.edu.vn

 

6

Mai Thi Hai Van

Assoc. Prof. PhD

University of Transport Technology (UTT)

Key Member

 vanhtm@utt.edu.vn

 

7

Duong Thi Ngoc Thu

PhD

University of Transport Technology (UTT)

Key Member

 thuntd@utt.edu.vn

 

8

Le Thanh Hai

PhD

University of Transport Technology (UTT)

Key Member

 haitl@utt.edu.vn

 

9

Nguyen Thi Loan

PhD

University of Transport Technology (UTT)

Key Member

 loantn@utt.edu.vn

 

10

Phung Ba Thang

PhD

University of Transport Technology (UTT)

Key Member

 thangbp@utt.edu.vn

 

11

Tran Ngoc Hung

PhD

University of Transport Technology (UTT)

Key Member

 hungnt@utt.edu.vn

 

12

Tran Quoc Tuan

PhD

University of Transport Technology (UTT)

Key Member

 tuanqt@utt.edu.vn

 

13

Nguyen Thanh Vinh

PhD

University of Transport Technology (UTT)

Key Member

 vinhtn@utt.edu.vn

 

14

Trinh Hoang Son

PhD

University of Transport Technology (UTT)

Key Member

 sonht@utt.edu.vn

 

15

Nguyen Huu May

PhD

University of Transport Technology (UTT)

Key Member

 mayhn@utt.edu.vn

 

16

Le Van Manh

PhD

University of Transport Technology (UTT)

Key Member

 manhlv@utt.edu.vn

 

17

Pham Thi Hue

PhD

University of Transport Technology (UTT)

Key Member

 huetp@utt.edu.vn

 

18

Nguyen Thu Trang

PhD

University of Transport Technology (UTT)

Key Member

 trangtn@utt.edu.vn

 

19

Bui Thi Quynh Anh

PhD

University of Transport Technology (UTT)

Key Member

 anhqtb@utt.edu.vn

 

20

Lai Van Anh

PhD

University of Transport Technology (UTT)

Key Member

 anhvl@utt.edu.vn

 

21

Nguyen Trong Dung

PhD

University of Transport Technology (UTT)

Key Member

 anhvl@utt.edu.vn

 

22

Cao Minh Quyen

PhD

University of Transport Technology (UTT)

Key Member

 quyenmc@utt.edu.vn

 

23

Nguyen Trung Kien

PhD

University of Transport Technology (UTT)

Key Member

 kientn@utt.edu.vn

 

24

Vu Ngoc Quang

PhD

University of Transport Technology (UTT)

Key Member

 quangnv@utt.edu.vn

 

25

Hoang Thi Thu Hien

MSc

University of Transport Technology (UTT)

Scientific Secretary

hientth@utt.edu.vn

PhD Candidate

26

Dang The Vinh

MSc

University of Transport Technology (UTT)

Scientific Secretary

vinhtd@utt.edu.vn

PhD Candidate

27

Nguyen Thi Nga

MSc

University of Transport Technology (UTT)

Scientific Secretary

ngatn@utt.edu.vn

PhD Candidate

28

Le Minh Hai

MSc

University of Transport Technology (UTT)

Scientific Secretary

haiml@utt.edu.vn

 

29

Vu Duy Tung

MSc

University of Transport Technology (UTT)

Scientific Secretary

tungdv@utt.edu.vn

 

30

Tran Thi Kim Dang

Assoc. Prof. PhD

University of Transport Technology (UTT)

Key Member

 

Assoc. Prof.

31

Nguyen Duy Cuong

PhD

University of Transport Technology (UTT)

Key Member

 

 

 

Projects

No

Title

Project level/ Funders

PI

Beginning year

Ending year

Funding (USD)

Note

1

Research on the effect of graphene oxide on the properties of asphalt.

 

Hoang Thi Huong Giang

2021

2022

5,600

English translated title

2

Application of artificial intelligence models to predict the compressive strength of fiber-reinforced self-compacting concrete 

 

Hai-Van Thi Mai

2022

2023

5,600

English translated title

3

Application of artificial intelligence to predict the compressive strength of self-compacting concrete used in road construction

 

Hai-Van Thi Mai

2021

2022

 

English translated title

4

Using an artificial intelligence model to predict and evaluate the influence of factors on the compressive strength of roller-compacted concrete

 

Hai-Van Thi Mai

2022

2022

 

English translated title

5

Research on the application of Artificial Intelligence to predict the axial compression capacity of concrete-filled steel tube (CFST) columns

 

Nguyen Thuy Anh

2022

2023

5,600

English translated title

6

Cold In-Place Recycling Technology with Cement: A Study on Application and Economic Efficiency Assessment in Road Maintenance in Thanh Hoa Province"

 

Nguyen Thu Trang

2023

2025

769

English translated title

7

Applied Research on Artificial Intelligence Engineering Models Combined with Optimization for Predicting Interlayer Shear Strength of Doulble-Layer Asphalt Concrete

 

Bui Thi Quynh Anh

2022

2024

5,600

English translated title

8

Development of numerical tools for the investigation of transport properties in fractured porous media for Newtonian and non-Newtonian fluids

Nafosted

Ly Hai Bang

2021

2014

22,000

 

 

Publications

No

Title

Year

Journal

SCIE/Scopus

Authors

Link

Note

1

Development of a Gradient Boosting Model for Predicting the Rutting Factor of Graphene Oxide-Modified Bitumen at Medium and High Temperatures

2025

Canadian Journal of Civil Engineering

SCIE

Huong-Giang Thi Hoang- Ly Hai Bang*-Mai Thi Hai Van

https://doi.org/10.1139/cjce-2025-0052

 

2

An Effective Extreme Gradient Boosting Approach to Predict the Physical Properties of Graphene Oxide Modified Asphalt

2025

Pavement Research and Technology

SCIE

Huong-Giang Thi Hoang-Ly Hai Bang*-Nguyen Thuy Anh

https://doi.org/10.1007/s42947-025-00636-y

 

3

Accurate and Interpretable Prediction of Marshall Stability for Basalt Fiber Modified Asphalt Concrete using Ensemble Machine Learning

2025

Journal of Science and Transport Technology

SCOPUS

Huong-Giang Thi Hoang-Bui Ngoc Kien*-Bach Thi Diep Phuong-Bui Van Hoa

https://doi.org/10.58845/jstt.utt.2025.en.5.3.1-24

 

4

Hybrid machine learning approach for prediction and design optimization of marshall stability in graphene oxide-modified asphalt concrete

2025

Environmental Research

SCIE

Hoang Thi Huong Giang-Nguyen Hoang Long-Nguyen Thuy Anh-Ly Hai Bang*

https://doi.org/10.1016/j.envres.2025.122646

 

5

Interpretable machine learning models for concrete compressive strength prediction

2024

Innovative Infrastructure Solutions,

SCIE

Huong-Giang Thi Hoang*-Nguyen Thuy Anh-Ly Hai Bang

https://doi.org/10.1007/s41062-024-01808-8

 

6

Evaluation of the performance enhancement of asphalt concrete via graphene oxide incorporation: A multi-test approach

2024

Journal of Materials: Design and Applications

SCIE

Huong-Giang Thi Hoang-Nguyen Hoang Long-Ly Hai Bang*

https://doi.org/10.1177/14644207241282113

 

7

Gradient boosting approach to predict complex modulus of GO‑modified asphalt at low and medium temperature

2024

Innovative Infrastructure Solutions,

SCIE

Hoang Thi Huong Giang-Nguyen Thuy Anh-Ly Hai Bang*

https://doi.org/10.1007/s41062-024-01466-w

 

8

Application of Extreme Gradient Boosting in Predicting the Viscoelastic Characteristics of Graphene Oxide Modified Asphalt at Medium and High Temperatures

2024

Frontiers of Structural and Civil Engineerin

SCIE

Hoang Thi Huong Giang- Mai Thi Hai Van -Ly Hai Bang*

https://doi.org/10.1007/s11709-024-1025-y

 

9

Evaluation of the Influence of Graphene Oxide on Asphalt Binder Physical and Rheological Properties

2023

Journal of Materials: Design and Applications

SCIE

Huong-Giang Thi Hoang-Nguyen Hoang Long-Tran Ngoc Hung-Ly Hai Bang*

https://doi.org/10.1177/14644207231186610

 

10

Neural network approach for GO-modified asphalt properties estimation

2022

Case Studies in Construction Materials

SCIE

Huong-Giang Thi Hoang-Nguyen Thuy Anh-Nguyen Hoang Long-Ly Hai Bang*

https://doi.org/10.1016/j.cscm.2022.e01617

 

11

An Artificial Intelligence Approach

to Predict the Resilient Modulus

of Subgrade Pavement or Unbound

Material

2021

Emerging Technologies and Applications, CIGOS 2021

SCOPUS

Huong-Giang Thi Hoang and Thuy-Anh Nguyen

https://doi.org/10.1007/978-981-16-7160-9_177

 

12

Development of Artificial Neural

Network Model for Prediction

of Marshall Parameters of Stone Mastic

Asphalt

2021

Emerging Technologies and Applications, CIGOS 2021

SCOPUS

Thanh-Hai Le, Hoang-Long Nguyen, Cao-Thang Pham,

Huong-Giang Thi Hoang, and Thuy-Anh Nguyen

https://doi.org/10.1007/978-981-16-7160-9_181

 

13

Novel approaches to predict the Marshall parameters of basalt fiber

asphalt concrete

2023

Construction and Building Materials

SCIE

Ba-Nhan Phung , Thanh-Hai Le *, Thuy-Anh Nguyen , Huong-Giang Thi Hoang , Hai-Bang Ly

https://doi.org/10.1016/j.conbuildmat.2023.132847

 

14

An Extreme Gradient Boosting approach to estimate the shear strength of FRP reinforced concrete beams

2022

Structures

SCIE

Hoang-Anh Le, Duc-Anh Le, Thanh-Tung Le, Hoai-Phuong Le, Thanh-Hai Le, Huong-Giang Thi Hoang, Thuy-Anh Nguyen*

https://doi.org/10.1016/j.istruc.2022.09.112

 

15

The investigation on the effects of sulphur on the performance of sulphur-bitumen binder

2022

Road Materials and Pavement Design

ISI

Thu Trang Nguyen, Ngoc Hung Tran, Ngoc Kien Bui, The Thuan Vu, Huy
Khang Pham & Xuan Cay Bui

https://doi.org/10.1080/14680629.2022.2049351

 

16

Moisture Sensitivity of Hot Mix Asphalt Concrete Containing Optimal
Sulfur Waste Content at Later Ages and a Proposed Engineering
Solution for Flexible Pavement Applications

2025

Pavement Research and Technology

SCIE

Trang Thu Nguyen · Kien Ngoc Bui · Hung Ngoc Tran · Thuan The Vu · Khang Huy Pham · Cay Xuan Bui

https://doi.org/10.1007/s42947-025-00635-z

 

17

 

Universal boosting ML approaches to predict the ultimate load capacity of CFST columns

2024

The Structural Design of Tall and Special Buildings

SCIE

TA Nguyen, K Le Nguyen, HB Ly

https://doi.org/10.1002/tal.2071

11 citations

18

COLD RECYCLING OF RECLAIMED ASPHALT PAVEMENT USING CEMENT ADMIXTURE

2024

The International Conference series on Geotechnics, Civil Engineering and Structures CIGOS 2024

Scopus

Nguyen Thu Trang*; Phạm Văn Lượng; Phạm Hồng Quân; Ngô Văn Đại

https://doi.org/10.1007/978-981-97-1972-3_22

 

19

Enhanced bond strength prediction in corroded reinforced concrete using optimized ML models

2024

Structures, Elsevier ISSN: 2352-0124

SCIE

Thuy Anh Nguyen, Son Hoang Trinh, Hai Bang Ly

https://doi.org/10.1016/j.istruc.2024.106461

 

20

Predicting axial compression capacity of CFDST columns and design optimization using advanced machine learning techniques

2024

Structures, Elsevier ISSN: 2352-0124

SCIE

Thuy Anh Nguyen, Hai Bang Ly

https://doi.org/10.1016/j.istruc.2024.106461

 

21

Machine learning-driven innovations in green eco-environmental rubberized concrete design towards sustainability

 

2024

Materials Today Communications, Elsevier

 

SCIE

Hai Bang Ly, Thuy Anh Nguyen

https://doi.org/10.1016/j.mtcomm.2024.108551

 

 

22

Novel ensemble approach to predict the ultimate axial load of CFST columns with different cross-sections

2023

Structures, Elsevier ISSN: 2352-0124

SCIE

Thuy Anh Nguyen, Son Hoang Trinh, May Huu Nguyen, Bang Hai Ly

https://doi.org/10.1016/j.istruc.2024.106461

 

23

Ensemble XGBoost schemes for improved compressive strength prediction of UHPC

2023

Structures, Elsevier ISSN: 2352-0124

SCIE

May Huu Nguyen, Thuy-Anh Nguyen, Hai-Bang Ly

https://doi.org/10.1016/j.istruc.2024.106461

 

24

Enhancing Compressive Strength Prediction of Roller Compacted Concrete using Machine Learning Techniques

2023

Measurement

SCIE

"Hai-Van Thi Mai,  Hai-Bang Ly*,

   

25

Estimating the Compressive Strength of Selfcompacting Concrete with fiber using an Extreme Gradient Boosting model

2023

Journal of Science and Transport Technology

Scopus

Indra Prakash, Thanh-Nhan Phan, Hai-Van Thi Mai,*

https://doi.org/10.58845/jstt.utt.2

 

26

Toward Improved Prediction of Recycled Brick Aggregate Concrete Compressive Strength by Designing Ensemble Machine Learning Models

2022

Construction and Building Materials

SCIE

Hai-Van Thi Mai *, May Huu Nguyen, Hai-Bang Ly, Son Hoang Trinh

   

27

Optimization of Machine Learning Models for Predicting The Compressive Strength of Fiber-Reinforced Self-Compacting Concrete

2023

Frontiers of Structural and Civil Engineering

SCIE

Hai-Van Thi Mai, May Huu Nguyen, Hai-Bang Ly*, Son Hoang Trinh

   

28

Development of machine learning methods to predict the compressive strength of fiber-reinforced self-compacting concrete and sensitivity analysis

2023

Construction and Building Materials

SCIE

Hai-Van Thi Mai, May Huu Nguyen*, Hai-Bang Ly*

https://authors.elsevier.com/c/1gPqr3O1E1UN~y

 

29

Advancing basalt fiber asphalt concrete design: A novel approach using gradient boosting and metaheuristic algorithms

2023

Case Studies in Construction Materials

SCIE

Ba Nhan Phung, Thanh-Hai Le , Hai-Van Thi Mai, Thuy-Anh Nguyen, Hai-Bang Ly

 

 

30

Novel approaches to predict the Marshall parameters of basalt fiber asphalt concrete

2023

Construction and Building Materials

SCIE

Ba-Nhan Phung , Thanh-Hai Le, Thuy-Anh Nguyen , Huong-Giang Thi Hoang , Hai-Bang Ly

 

 

31

A comparative assessment of tree-based predictive models to estimate geopolymer concrete compressive strength

2022

Neural Computing and Applications (NCAA)

SCIE

May Huu Nguyen, Hai-Van Thi Mai, Hai-Bang Ly* , Son Hoang Trinh

https://doi.org/10.1007/s00521-022-08042-2

 

32

Machine Learning Approach in Investigating Carbonation Depth of Concrete Containing Fly Ash

2022

Structural Concrete

SCIE

Van Quan Tran *, Hai-Van Thi Mai, Quynh Trang To, Huu May Nguyen

DOI: 10.1002/suco.202200269

 

33

A hybrid machine learning model to estimate selfcompacting concrete compressive strength

2022

Frontiers of Structural and Civil Engineering

SCIE

Hai-Bang LY, Thuy-Anh NGUYEN, Binh Thai PHAM, May Huu NGUYEN

 

 

34

Predicting shear strength of slender beams without reinforcement using hybrid gradient boosting trees and optimization algorithms

2022

Frontiers of Structural and Civil Engineering

SCIE

Thuy-Anh NGUYEN, Hai-Bang LY, Van Quan TRAN

 

 

35

Force-based FE for large displacement inelastic analysis of two-layer Timoshenko beams with interlayer slips

2014

Finite Elements in Analysis and Design

SCIE

Quang-Huy Nguyen, Mohammed Hjiaj, Van-Anh Lai

https://doi.org/10.1016/j.finel.2014.02.007

 

- PhD/Master

No

Name

Project Title

PhD/Master

Year of Graduation

Note

1

Hoang Thị Huong Giang

INVESTIGATION OF GRAPHENE OXIDE FOR ENHANCING THE MECHANICAL PROPERTIES OF ASPHALT CONCRETE UNDER VIETNAMESE CONDITIONS

PhD

2023

English translated title

2

Nguyen Thu Trang

Research on effects of sulfur additive on asphalt concrete properties

PhD

2021

English translated title

3

Bui Thi Quynh Anh

Research on the effect of normal pressure on the interlayer shear resistance of double layer asphalt concrete

PhD

2021

English translated title

4

Trinh Hoang Son

Research on some main properties of fly ash based- geopolymer concrete using totally steel slag aggregate in construction of highway pavement in Vietnam

PhD

2021

English translated title

5

Nguyen Huu May

Utilization of a simplified non-destructive test with water spraying for cover concrete quality inspection

PhD

2020

English