Specializing in artificial and computational intelligence.. Al-Jarrah and Faris are two Jordanian researchers among the most influential scientists

Between forms of artificial intelligence, deep learning algorithms, and scientific research in big data science and computational intelligence, university professors Ibrahim Al-Jarrah and Husam Fares have spent a decade at the University of Jordan.

A wide range of scientific research in computer science and artificial intelligence has qualified them for the first place in the list of the most influential scientists in the world (Highly Cited Researchers) in the field of computer science for the year 2021, according to the classification of Clarivate Analytics.

Qualification came after a heated scientific and research competition between a long list of scientists and researchers in the fields of computer science, which included 110 researchers from 22 countries, Jordan attended, including represented by Professors Al-Jarrah and Faris.

Who is the surgeon and the knight?

Dr. Ibrahim Al-Jarrah introduces himself to Al Jazeera Net as a researcher and associate professor in Big Data Mining and Computational Intelligence at the University of Jordan. He holds a PhD with honors from North Dakota State University in 2014.

In 2017, Al-Jarrah established, in partnership with ambitious researchers from several countries around the world, a research group specialized in Evolutionary Machine Learning (, and was awarded the “Ali Mango” award for distinguished researcher for scientific colleges for solid research last year 2020.

Al-Jarrah was ranked – according to his speech – one of the top 2% of scientists in the world, and one of the top 10 researchers in Jordan, in exchange for the publication of more than 100 research papers in international refereed conferences and journals rated “Q1, Q2” (Q1, Q2), and with an impact factor. High in artificial intelligence and machine learning, obtaining more than 6800 citations and 42 Harsh coefficients, according to the Stanford University classification for the years 2020 and 2021.

Al-Jarrah’s research focuses on artificial intelligence and machine learning, big data, Hadoop frameworks, collective intelligence, evolutionary algorithms, social network analysis, and highly efficient distributed systems.

Dr. Ibrahim Al-Jarrah is a researcher and associate professor in Big Data Mining and Computational Intelligence at the University of Jordan (Al-Jazeera)

As for the university professor, Hossam Fares, he defines himself – in his speech to Al Jazeera Net – as a faculty member at the University of Jordan and Al Hussein Technical University, and the director of data science at Al-Tibbi, holding a doctorate from the Italian University of Saleneto.

Researcher Fares specializes in data science, artificial intelligence and its applications, and has more than 150 research papers in this field, most of which are published in the most prestigious international journals and conferences.

Fares received several awards from the University of Jordan, in recognition of his efforts in scientific research that contributed to raising the university’s ranking in international rankings, such as the Ali Mango Award for Distinguished Researcher and the Distinguished Researcher Award at the University of Jordan.

Notable scientific research

The researchers and Fares worked on developing artificial intelligence projects for a number of companies and institutions, most notably with regard to the spread of hate speech, as the researchers noticed the spread of this issue through social media in our Arab region.

The two researchers worked on the “Detecting Hate Speech” project by applying artificial intelligence and machine learning techniques, in order to build smart models capable of sensing hate speech and messages as they occur.

The two researchers also worked on a project to detect “spam”, where – in order to protect email systems and their users from spam and unwanted messages – they developed and implemented an open source tool, which provides a flexible way to extract a large number of features to produce A clean data set, which can be used to train and test different classification algorithms.

Researcher Dr. Hossam Fares giving a lecture at the University of Jordan (Al-Jazeera)

Corona and fake news

The spread of fake news and misinformation about the Corona virus, was the subject of a scientific research prepared by researcher Ibrahim Al-Jarrah with the help of researchers to develop smart algorithms using machine learning to effectively detect fake news and information spread on social media, and provide more accurate information about this disease, so that artificial intelligence provides And data science for people and researchers is an automated way to easily distinguish between true and fake news.

With the increase in the spread of the virus and the increase in infections globally and in the Arab world, the pressure on medical and health institutions increased, which prompted researcher Hossam Fares to employ machine learning – one of the most common forms of artificial intelligence – effectively employed in the applications of the “Al-Tibbi” company specialized in providing medical advice and care. E-health in a number of Arab countries.

And that is by developing a smart model built using deep learning algorithms, trained on millions of previous medical consultations stored in the company’s databases, to help face the challenges that Al-Tibbi witnessed during the Corona pandemic, and to overcome them through the development of smart systems supported by scientific research.

In 2017, the surgeon established, with researchers from several countries around the world, a research group specialized in evolutionary machine learning (Al Jazeera)

Most Quoted

Clarivate Analytics is a global company specialized in classifying scientific research journals, and issuing lists of the most cited researchers. Its classifications are among the best international classifications for following solid and accurate scientific methodologies in their work, and they are managed by experts in the field.

This year, about 6,600 researchers were selected, distributed in 21 disciplines, out of 8 million researchers included in the database.

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