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Galal M. BinmakhashenKing Fahd University of Petroleum and Minerals | KFUPM · College of Computer Sciences and Engineering
Galal M. Binmakhashen
Doctor of Philosophy
About
22
Publications
9,399
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323
Citations
Introduction
Dr. Galal M. Binmakhashen is pioneering AI& Machine Learning Researcher at King Fahd University of Petroleum and Minerals, affiliated with Research Excellence. Dr. Binmakhashen excels at developing practical AI solutions to address environmental challenges. His research focuses on leveraging AI for tasks like water pollutant removal and seawater index detection. Highly skilled in image processing, pattern recognition, and document layout analysis.
Additional affiliations
November 2018 - present
Education
September 2014 - April 2018
Publications
Publications (22)
Accurate load forecasting is of utmost importance for modern power generation facilities to effectively meet the ever-changing electricity demand. Predicting electricity consumption is a complex task due to the numerous factors that influence energy usage. Consequently, electricity utilities and government agencies are constantly in search of advan...
Water pollution is a serious environmental problem with a significant negative impact on human health and the ecosystem. Adsorption is an attractive process for water decontamination. Developing artificial intelligence models capable of predicting the adsorption performance of newly developed materials could save huge amounts of resources and effor...
Bibliometric studies are increasingly employed for research assessment by using statistical methods to analyze scientific outputs and impacts. The main objective of this study is to investigate the research performance of the Kingdom of Saudi Arabia (KSA) with a focus on KSA’s most productive universities. The study describes the research profile o...
The governments of most ‘emerging market’ (EM) countries (e.g., India, Mexico, and Brazil) have invested significantly in scientific research over the past decades. These investments are reflected in the countries’ research volume, impact, and international collaboration activities. The EMs’ research support justification delivers the need to evalu...
In the petroleum refining industries, the hydrodesulfurization (HDS) process is one of the most common techniques for purifying petroleum products from undesirable sulfur species to reduce SO2 emission. However, HDS is still complicated as many aspects dominate the rate of sulfur removal such as operating conditions, feed formulations, catalyst act...
Frequently, petroleum refineries create a variety of fuels as well as a vast range of chemicals for diverse applications. One of the most frequent procedures for purifying petroleum products from unwanted sulfur species and reducing SO2 emissions is the hydrodesulfurization (HDS) process. However, HDS is still challenging since a variety of factors...
Multiobjective optimization (MOO) has been adopted in many areas of research where optimal decisions must be made in the presence of trade-offs between two or more conflicting objectives. MOO assists researchers and practitioners to optimize multiobjective simultaneously. Despite the volume amplification of the MOO research in many scientific and e...
As one of the fastest-growing topics, machine learning has many applications that span through different domains including image and signal recognition, text mining, information retrieval, robotics, etc. It enables information extraction and analysis for better insights and decision-based systems. The Web of Science(WoS) citation database is a lead...
In this work, we are proposing a new technique for visual recognition of fingerspelling of a sign language by fusing multiple spatial and spectral representations of manual gesture images using a convolutional neural network. This problem is gaining prominence in communication between hearing-impaired people and human-machine interaction. The propo...
Multiobjective optimization (MOO) techniques are of much interest with their applications to petroleum refinery catalytic processes for finding optimal solutions in the midst of conflicting objectives. The rationale behind using MOO is that if objectives are in conflict, a set of trade-off optimal modeling solutions must be obtained to help managem...
There are several digital libraries worldwide which maintain valuable historical manuscripts. Usually, digital copies of these manuscripts are offered to researchers and readers in raster-image format. These images carry several document degradations that may hinder automatic information retrieval solutions such as manuscript indexing, categorizati...
Document layout analysis (DLA) is a preprocessing step of document understanding systems. It is responsible for detecting and annotating the physical structure of documents. DLA has several important applications such as document retrieval, content categorization, text recognition, and the like. The objective of DLA is to ease the subsequent analys...
Background: An Arabic online text database called Online-KHATT is presented, which addresses the lack of a free benchmarking database of natural Arabic online text. This database consists of natural Arabic online text written without any constraints using digital pen. Objective: The main objective of this work is to build a comprehensive benchmarki...
It is well known that breast density in mammograms may hinder the accuracy of diagnosis of breast cancer. Although the dense breasts should be processed in a special manner, most of the research has treated dense breast almost the same as fatty. Consequently, the dense tissues in the breast are diagnosed as a developed cancer. In contrast, dense-fa...
In this paper, we develop and test a system for integrating the information of the 12 lead ECG signals at the classifier real-valued output level. A coronary artery disease data set was collected and utilized in this study. Four types of features were extracted using the discrete cosine transform, two levels of discrete wavelet transform, and dimen...
During the last decade, palmprint recognition has received an increasing attention due to the abundant features that can be extracted from the captured palmprint image. However, a single palmprint texture representation may not be sufficient for reliable recognition. Therefore, in this paper we propose a computational model for palmprint recognitio...
Hand-geometry based authentication is gaining widespread application in a number of security systems. It can be operating in either verification or identification mode. Although the verification mode has received great attention in research in the past, the identification mode is still an open research area and new innovative solutions are needed t...
Questions
Question (1)
Since highly-cited papers are mostly multi-authored, what reasons that enforces researchers to disseminate single-authored research articles? Are single-authored articles enforced by research institutions?
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