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Data Science

Thursday, June 13, 2024
The Arab American University and the Palestine Monetary Authority Hold a Lecture on Financial Technology

The Faculty of Artificial Intelligence and Data Science at the Arab American University in Ramallah and the Palestine Monetary Authority have held a lecture for the Faculty students on financial technology and mechanisms for benefiting from technological solutions to support entrepreneurs and those with innovative ideas.

The lecture was presented by the Head of the Financial Technology Department at the Palestine Monetary Authority, Mr. Samer Afaneh, and was attended by the Dean of the Faculty of Artificial Intelligence and Data Science, Dr. Majdi Owda, and as well as many Faculty lecturers and students.

Sunday, May 26, 2024
Holder of the UNESCO Chair in Data Science for Sustainable Development, Dr. Majdi Owda is Hosted as a Guest Speaker at the University of Essex in the United Kingdom

The University of Essex in the United Kingdom has hosted Dr. Majdi Owda, Dean of the Faculty of Artificial Intelligence and Data Science at the Arab American University and holder of the 鈥淯NESCO Chair in Data Science for Sustainable Development,鈥 to deliver a lecture titled: Open Science for Sustainable Development: An International Perspective .

Dr. Owda's lecture touched upon the importance of open science in sustainable development. Thus, he provided an international perspective on the collaborative efforts needed to address global challenges. He also discussed the main areas of open science and relevant actors.

Sunday, May 19, 2024
Two AAUP Researchers from the Faculty of Graduate Studies Publish a Peer-Reviewed Research Article in Cooperation with the Higher School of Technology (ETS) at the Canadian University of Quebec

Students Mohammad Abu Tame鈥, researcher in the Master鈥檚 program in Data Science and Business Analysis, and Sari Al-Masry, researcher in the Master鈥檚 program in Artificial Intelligence at the Faculty of Graduate Studies at the Arab American University, have published a peer-reviewed research article in the Information - MDPI Journal with an impact factor of 3.1 titled 鈥Transformer-Based Approach to Pathology Diagnosis Using Audio Spectrogram鈥

The research article was part of the machine learning course, under the supervision of Dr. Ahmed Al-Hassasneh, and in cooperation with researchers at the Ecole Sup茅rieure de Technologie (ETS) at the University of Quebec in Montreal - Canada.

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