Man arrested in Jazan for transporting 10 illegal migrants

Illegal migrants trying to cross into Saudi Arabia from the Yemeni border are detained by Saudi Border Guards. (SPA/file photo)
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Updated 17 May 2024
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Man arrested in Jazan for transporting 10 illegal migrants

  • Saudi border guard land patrols also foiled an attempt to smuggle 30 kg of hashish into Al-Raboah, Asir

RIYADH: Al-Afwaj security patrols in Al-Arida, Jazan, arrested a Saudi citizen for transporting in 10 Ethiopians, who illegally crossed the Kingdom’s border in his vehicle.
The 10 Ethiopians were referred to the relevant authorities and, subsequently, to the Public Prosecution.
Media spokesperson of the Ministry of Interior’s Al-Afwaj Regiment said that anyone found to be facilitating illegal entry to the Kingdom, including providing transportation and shelter, could face imprisonment for a maximum of 15 years, a fine of up to SR1 million ($260,000), as well as confiscation of vehicles and property.
Meanwhile, Saudi border guard land patrols in Al-Raboah, Asir, foiled an attempt to smuggle 30 kg of hashish.

Preliminary legal procedures have been completed, and the seized items were handed over to the relevant authority.
Elsewhere, Saudi Border Guard land patrols in Al-Aridah, Jazan, foiled an attempt to smuggle 140 kg of qat. Preliminary legal procedures have been completed, and the seized items were handed over to the relevant authorities.
Patrols of the General Administration of Mujahideen in the Eastern Province arrested a citizen for selling amphetamines.
Citizens and residents with information on drug smuggling or trafficking A few asked to  call 911 in Makkah, Riyadh and the Eastern Province, and 999 in the rest of the Kingdom. They can also contact the General Directorate of Narcotics Control at 995 or email: [email protected]. All reports are treated confidentially.

 


Saudi Arabia’s KAUST named FIFA’s first research institute in MENA

The canal in the King Abdullah University of Science and Technology campus. (Shutterstock)
Updated 10 February 2026
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Saudi Arabia’s KAUST named FIFA’s first research institute in MENA

  • KAUST President Prof. Sir Edward Byrne said that the university’s selection as the fifth FIFA Research Institute in the world — and the first in the region — marks a significant achievement, reflecting Kingdom’s growing presence in international football

RIYADH: FIFA has designated the King Abdullah University of Science and Technology as its first research institute in the Middle East and Asia to support the development of innovative football research, the Saudi Press Agency reported on Tuesday.

The recognition highlights KAUST’s commitment to integrating sports, academic research and industry through advanced, high-level initiatives grounded in rigorous scientific methodologies, contributing to the advancement of football studies.

KAUST President Prof. Sir Edward Byrne said that the university’s selection as the fifth FIFA Research Institute in the world — and the first in the region — marks a significant achievement, reflecting Saudi Arabia’s growing presence in international football.

The accreditation aligns with national efforts to invest in research and development and promote the knowledge economy, supporting Saudi Vision 2030’s goals of building an advanced sports system based on innovation and sustainability.

The collaboration’s first project focuses on developing advanced AI algorithms to analyze historical FIFA World Cup broadcast footage, transforming decades of match videos into structured, searchable data, according to the KAUST website.

This work opens new opportunities to apply state-of-the-art computer vision techniques and deepen understanding of how football has evolved over time.

The second project uses player and ball tracking data from the FIFA World Cup 2022 in Qatar and the FIFA Women’s World Cup 2023 in Australia and New Zealand to compile comprehensive datasets capturing in-game dynamics.

These datasets provide deeper insights into human movement, playing techniques and performance dynamics through AI-driven analysis.