Arshad Jamal

About Arshad Jamal

Arshad Jamal, With an exceptional h-index of 26 and a recent h-index of 26 (since 2020), a distinguished researcher at King Fahd University of Petroleum and Minerals, specializes in the field of Road Safety, Accident Analysis, Traffic Simulation, Shared Mobility, Machine Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Framework of Big Data and Deep Learning for Simultaneously Solving Space Allocation and Signal Timing Problem

Recent advances in expansive soil stabilization using admixtures: current challenges and opportunities

Towards automated physical fatigue monitoring and prediction among construction workers using physiological signals: An on-site study

Transparent deep machine learning framework for predicting traffic crash severity

Optimal deployment of electric vehicles’ fast-charging stations

Electric vehicles charging infrastructure planning: a review

Modeling of machine learning with SHAP approach for electric vehicle charging station choice behavior prediction

Grey wolf optimizer-based machine learning algorithm to predict electric vehicle charging duration time

Arshad Jamal Information

University

Position

Department of Civil and Environmental Engineering .

Citations(all)

1857

Citations(since 2020)

1852

Cited By

125

hIndex(all)

26

hIndex(since 2020)

26

i10Index(all)

47

i10Index(since 2020)

47

Email

University Profile Page

King Fahd University of Petroleum and Minerals

Google Scholar

View Google Scholar Profile

Arshad Jamal Skills & Research Interests

Road Safety

Accident Analysis

Traffic Simulation

Shared Mobility

Machine Learning

Top articles of Arshad Jamal

Title

Journal

Author(s)

Publication Date

Framework of Big Data and Deep Learning for Simultaneously Solving Space Allocation and Signal Timing Problem

Journal of Transportation Engineering, Part A: Systems

Khaled Assi

Nedal Ratrout

Ibrahim Nemer

Syed Masiur Rahman

Arshad Jamal

2023/1/1

Recent advances in expansive soil stabilization using admixtures: current challenges and opportunities

Umar Zada

Arshad Jamal

Mudassir Iqbal

Sayed M Eldin

Meshal Almoshaogeh

...

2023/7/1

Towards automated physical fatigue monitoring and prediction among construction workers using physiological signals: An on-site study

Safety Science

Waleed Umer

Yantao Yu

Maxwell Fordjour Antwi Afari

Shahnawaz Anwer

Arshad Jamal

2023/10/1

Transparent deep machine learning framework for predicting traffic crash severity

Neural Computing and Applications

Karim Sattar

Feras Chikh Oughali

Khaled Assi

Nedal Ratrout

Arshad Jamal

...

2023/1

Optimal deployment of electric vehicles’ fast-charging stations

Journal of Advanced Transportation

Irfan Ullah

Kai Liu

Safa Bhar Layeb

Alessandro Severino

Arshad Jamal

2023/4/3

Electric vehicles charging infrastructure planning: a review

Irfan Ullah

Jianfeng Zheng

Arshad Jamal

Muhammad Zahid

Meshal Almoshageh

...

2023/9/23

Modeling of machine learning with SHAP approach for electric vehicle charging station choice behavior prediction

Travel Behaviour and Society

Irfan Ullah

Kai Liu

Toshiyuki Yamamoto

Muhammad Zahid

Arshad Jamal

2023/4/1

Grey wolf optimizer-based machine learning algorithm to predict electric vehicle charging duration time

Transportation Letters

Irfan Ullah

Kai Liu

Toshiyuki Yamamoto

Md Shafiullah

Arshad Jamal

2023/9/14

Employing bibliometric analysis to identify the current state of the art and future prospects of electric vehicles

Irfan Ullah

Muhammad Safdar

Jianfeng Zheng

Alessandro Severino

Arshad Jamal

2023/2/28

Analysis of the Insulation Characteristics of Hexafluorobutene (C4H2F6) Gas and Mixture with CO2/N2 as an Alternative to SF6 for Medium-Voltage Applications

Applied Sciences

Rizwan Ahmed

Rahisham Abd Rahman

Adel S Aldosary

Baqer Al-Ramadan

Rahmat Ullah

...

2023/8/3

Integration of rotation forest and multiboost ensemble methods with forest by penalizing attributes for spatial prediction of landslide susceptible areas

Stochastic Environmental Research and Risk Assessment

Tran Xuan Bien

Mudassir Iqbal

Arshad Jamal

Dam Duc Nguyen

Tran Van Phong

...

2023/12

Intelligent Assessment of Pavement Condition Indices Using Artificial Neural Networks

Sustainability

Sami Abdullah Osman

Meshal Almoshaogeh

Arshad Jamal

Fawaz Alharbi

Abdulhamid Al Mojil

...

2022/12/28

Investigating the risk factors of motorcycle crash injury severity in Pakistan: Insights and policy recommendations

Transport policy

Umer Mansoor

Arshad Jamal

Junbiao Su

NN Sze

Anthony Chen

2023/8/1

Boosting Ensemble Learning for Freeway Crash Classification under Varying Traffic Conditions: A Hyperparameter Optimization Approach

Sustainability

Abdulla Almahdi

Rabia Emhamed Al Mamlook

Nishantha Bandara

Ali Saeed Almuflih

Ahmad Nasayreh

...

2023/11/13

An integrated fuzzy analytic hierarchy process (AHP) model for studying significant factors associated with frequent lane changing

Entropy

Sarbast Moslem

Danish Farooq

Arshad Jamal

Yahya Almarhabi

Meshal Almoshaogeh

...

2022/3/4

Prediction of electric vehicle charging duration time using ensemble machine learning algorithm and Shapley additive explanations

International Journal of Energy Research

Irfan Ullah

Kai Liu

Toshiyuki Yamamoto

Muhammad Zahid

Arshad Jamal

2022/9

Intergration of Rotation Forest and MultiBoost Ensembles with Forest by Penalizing Attributes for Spatial Prediction of Landslide Susceptibility

Binh Thai Pham

Mudassir Iqbal

Nguyen Duc Dam

Tran Phong

Romulus Costache

...

2022/8/1

Implementing the Maximum Likelihood Method for Critical Gap Estimation under Heterogeneous Traffic Conditions

Sustainability

Arshad Jamal

Muhammad Ijaz

Meshal Almosageah

Hassan M Al-Ahmadi

Muhammad Zahid

...

2022/1

Predicting the travel mode choice with interpretable machine learning techniques: A comparative study

Travel Behaviour and Society

Mohammad Tamim Kashifi

Arshad Jamal

Mohammad Samim Kashefi

Meshal Almoshaogeh

Syed Masiur Rahman

2022/10/1

Analysis of the influential factors towards adoption of car-sharing: A case study of a megacity in a developing country

Sustainability

Muhammad Safdar

Arshad Jamal

Hassan M Al-Ahmadi

Muhammad Tauhidur Rahman

Meshal Almoshaogeh

2022/2/26

See List of Professors in Arshad Jamal University(King Fahd University of Petroleum and Minerals)

Co-Authors

H-index: 18
Muhammad Tauhidur Rahman

Muhammad Tauhidur Rahman

King Fahd University of Petroleum and Minerals

H-index: 12
Imran Reza

Imran Reza

King Fahd University of Petroleum and Minerals

H-index: 4
Tufail AHMED

Tufail AHMED

Universiteit Hasselt

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