A scientific paper by Professor Dr. Ibrahim Abdullah Mirdas, titled “An Efficient Compensation Approach for Fiber Impairments in High-Capacity System Based on NARX Neural Network Algorithms,” was published in a journal affiliated with Springer Publishing and indexed in Scopus (Q1 quartile), one of the leading peer-reviewed scientific journals globally in this field.<br /><br />The research aims to present an innovative strategy for compensating and addressing fiber optic losses, relying on advanced machine learning techniques. The study utilizes Artificial Neural Networks (NARX) to improve the performance of fiber optic transmission systems by reducing both linear and nonlinear losses.<br /><br />Fiber optics are widely used in various applications, particularly in telecommunications and medical fields. Among these applications is their use in flexible endoscopic devices, such as gastrointestinal and cardiac endoscopes, for examining the intestines, esophagus, and heart, and diagnosing related issues and diseases.<br /><br />This research marks an important step in enhancing the reputation of scientific research at the University of the Future, both regionally and globally.