The University of Sharjah fully participates in this global non-governmental and non-profit organization. IAESTE benefits students, employers, and universities through the IAESTE internship program. Paid internships abroad help students gain professional experience and cross-cultural skills. Employers and universities gain access to talented international interns who bring new impulses and insights to their business or research. IAESTE provides primarily STEM internships.

Mr. Ayush Singh, a computer science student from Manipal University (Jaipur, India), spent a month as an intern at the SAASST Radio Astronomy Laboratory as part of the IAESTE program. He was introduced to the topic of morphological classification of extragalactic radio sources using machine learning. He utilized his experience in working with Wasserstein Generative Adversarial Networks (WGAN). He proposed using them to increase the number of images used for training machine learning models to improve their classification accuracy. This was the first time WGAN was used in the field of Radio Astronomy. He presented his findings on Monday, Oct. 30, showing the superiority of WGAN over standard methods. Abdollah Masoud, a researcher at the Radio Astronomy Laboratory, supervised his work.