|
|
|
|
|
|
 OverView
|
Dr. Shadi Hanandeh is a professional researcher, consultant, and instructor with more than 15
years of broad experience in the geotechnical and pavement engineering fields. His areas of
expertise include soil stabilization, using sustainable materials in geotechnical engineering; and
the application of geosynthetics in geotechnical and pavement engineering. He earned his Ph.D.
degree in Civil Engineering from Louisiana State University in December 2016, and his M.Sc.
degree in Civil Engineering (Geotechnical Engineering) from Jordan University for Science and
Technology, Jordan, in June of 2007, and his B.Sc. in Civil Engineering from Al-Mustansiriya
University, Iraq, in September of 2000. Since January 2017, he has been working as an
Associate Professor at Al-Balqa Applied University, where his duties involve teaching
undergraduate and graduate courses; conducting research studies in multiple geotechnical and
pavement engineering streams; drafting and publishing reports and scientific articles; advising
undergraduate and graduate students; quality assurance and accreditation; and training and
consulting services. Dr. Hanandeh has led and participated in numerous consulting, research, and
capacity-building projects supported by national and international organizations such as the
Scientific Research and Innovation Support Fund/Ministry of Higher Education Jordan. Between
Jan 2012 and Aug 2017, Dr. Hanandeh worked at Louisiana Transportation Research, where he
was a key member of the research team that undertook several projects. Dr. Hanandeh served as a
civil engineer in Dubai Municipality, UAE-Building Department as a supervisor engineer
between 05/2008 and 12/2010. Dr. Hanandeh served as project engineer at the Ministry of
Municipal Affairs from 1/4/2002 to 30/04/2008. Dr. Hanandeh have a concrete background in
geo-technical risk identification, quantification, and mitigation, and I am also very familiar with
all the design parameters of tunnels and sub-surface structures. In addition, Dr. Hanandeh is also
very adept at using computer applications such as PLAXIS-3D, all pile, Slide unisettle, LPILE,
APILE, GROUP, Shaft, and Dyna5. Dr. Hanandeh has solid experience in soil profile
investigation and instrumentation types. Hands-on experience in report making on monitoring
instruments, intervention locations, and soil profile investigation. Solid experience in
nondestructive pavement evaluation such as falling weight deflectometer, lightweight
deflectometer, seismic pavement analyzer, dynamic cone penetrometer, ground penetrating radar,
resilient modulus, nuclear density gauge, and Van Shear test. Dr. Hanandeh has an extensive
experience in subsurface exploration, in-situ and laboratory soil testing, and geotechnical
instrumentation, analysis geotechnical lab testing, interpretation of laboratory and field
geotechnical tests, soil characterization, estimating and costing of construction, and geotechnical
data and design reporting
|
|
|
|
|
|
 Research Intersets:
|
Uncertainty and reliability analysis in geotechnical engineering
Soil Stabilization
Laboratory and in-situ testing and equipment development
Accelerated Loading and Non-destructive Testing
Pavement Design and Performance Evaluation
Implementation of Mechanistic-Empirical Pavement Design
Numerical Modeling of Pavement Structure
Geosynthetic
Sustainable geotechnical & pavement technologies
Unsaturated soil mechanics
Geotechnical instrumentation
Application of Artificial Neural Network in geotechnical Engineering
|
|
|
|
|
 Qualifications
|
| #
|
Degree
|
University
|
Specialization
|
Graduation year
|
| 1 | PHD | Louisiana State University | Civil Engineering | 2016 |
|
|
|
|
|
|
|
|
|
|
|
 Publications
|
1- Measurement and modelling effect of street trees distress on asphalt
pavements by using experimental and 3-D finite element methods ,Transportation Engineering, 2025,Vol. 22,no. 100394.
2- Development of Empirical Equations for Estimating
Subgrade Resilient Modulus Using Machine Learning
Methods and Experimental Validation ,Transportation Infrastructure Geotechnology, 2025,Vol. 12,no. 253.
3- Experimental Evaluation and Quantifcation
of Geogrid?Reinforced Base Course Materials for Flexible
Pavements ,Transportation Infrastructure Geotechnology, 2025,Vol. 12,no. 209.
4- Prediction the Dynamic Modulus of Hot Asphalt Mix Using
Genetic Algorithms and Neural Network Modeling ,Civil Engineering Journal (Iran), 2025,Vol. 11,no. .
5- Enhanced Earth Slope Stability Assessment Using
Computational Intelligence Algorithms ,Civil Engineering and Architecture, 2025,Vol. 13,no. .
6- Predicting the impact of adding metakaolin on the flexural strength of concrete using ML classification techniques ? a comparative study
,Frontiers in Built Environment, 2024,Vol. 10,no. .
7- NVESTIGATING THE DYNAMIC CREEP OF
POLYMER MODIFIED HOT MIX ASPHALT ,Civil and Environmental Engineering, 2024,Vol. 20,no. .
8- Predicting the impact of adding metakaolin on the splitting strength of concrete using ensemble ML classification and symbolic regression techniques ?a comparative study ,Frontiers in Built Environment, 2024,Vol. 10,no. .
9- Investigating the Dynamic Creep and the Tensile
Performance of Zeolitic Tuff-modified Warm Asphalt
Mixtures ,THE OPEN TRANSPORTATION JOURNAL, 2024,Vol. 18,no. .
10- Seepage Analysis and Optimization of Reservoir Earthen Embankment
with Double Textured HDPE Geo-Membrane Barrier ,Civil Engineering Journal , 2023,Vol. 9,no. .
11- Evaluation of Factors Affecting the Performance of FiberReinforced Subgrade Soil Characteristics Under Cyclic Loading ,Civil Engineering Journal, 2023,Vol. 9,no. .
12- Advanced machine learning prediction of the unconfined compressive strength of geopolymer cement reconstituted granular sand for road and liner construction applications ,Asian Journal of Civil Engineering, 2023,Vol. 25,no. .
13- The infuence of nano?silica precursor on the compressive strength
of mortar using Advanced Machine Learning for sustainable buildings ,Asian Journal of Civil Engineering, 2023,Vol. 25,no. .
14- Effect of Zeolitic Tuff on Strength, Resilient Modulus, and
Permanent Strain of Lime-Stabilized Expansive
Subgrade Soil
,Journal of Materials in Civil Engineering, 2023,Vol. 35,no. .
15- Prediction of the resilient modulus of stabilized weak subgrade for
pavement design structure ,https://www.sciencedirect.com/science/article/abs/pii/S2214391222001404, 2022,Vol. 37,no. .
16- Prediction of concrete compressive strength with GGBFS and fy ash
using multilayer perceptron algorithm, random forest regression
and k?nearest neighbor regression ,Asian Journal of Civil Engineering, 2022,Vol. ,no. .
17- Using driving simulator to study the effect of crash
fact signs on speeding behaviour along freeways ,https://www.tandfonline.com/journals/nics20, 2022,Vol. 30,no. .
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|