He is also serving as Conference Chair for ICAILY 2026, the 2nd International Conference on AI & Generative AI, to be held in Cape Town, South Africa, bringing together researchers, industry leaders, startups, and policymakers.
Ali Othman Albaji is a distinguished Libyan researcher and engineer specializing in the intersection of advanced telecommunications, machine learning, and artificial intelligence. With a solid academic foundation and practical expertise in wireless systems, Albaji has contributed significantly to studies in cellular network design, environmental noise classification, and signal processing. Educational Background and Expertise
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Dr. Albaji frequently applies data science to vital civic problems. His 2026 paper, Enhancing Water Quality Prediction Based on Machine Learning for Imbalanced Dataset , engineered novel feature elimination techniques using Support Vector Machines (SVM) to drastically improve how local municipalities detect water drinkability. Signal Processing and Satellites
During his tenure at UTM, he also demonstrated profound leadership by serving as the President of the university's Postgraduate Student Society . ali othman albaji
His research frequently appears on platforms like Google Scholar and ResearchGate . His work primarily focuses on applying machine learning to solve environmental and urban challenges:
. Between his technical experiments, he wrote passionately about revitalizing the education system in Libya, believing that empowering the next generation with knowledge was the only way to "seize opportunities" in a rapidly changing world.
Dr. Ali Othman Albaji is a prominent researcher and expert in Artificial Intelligence (AI) and telecommunications, currently serving as a for the Libyan Authority for Scientific Research . His work bridges the gap between high-level engineering and urban sustainability, particularly through the application of Machine Learning (ML) to environmental challenges. Academic and Professional Background
In the arid Atlas Mountains of Morocco, nestled between ancient olive groves and wind-swept plateaus, lies the village of Oued El-Arbi . Known for its resilient people and a centuries-old oasis fed by subterranean springs, the village has always thrived in harmony with the land. But years of drought have withered the oasis, and the villagers fear their ancient well is beyond saving. He is also serving as Conference Chair for
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Dr. Albaji holds a diverse portfolio of leadership and advisory roles within the global tech and academic communities:
The LibiGPT project has released three proprietary AI models to serve different needs across the Libyan ecosystem:
Returning to technical specializations, he completed a Master’s in Electronics and Telecommunications Engineering at (2019–2023). Throughout this time, his professional experience included roles as a sales advisor for global firms like LG and ZTE , as well as academic positions where he served as an assistant professor and lecturer. Contributions to AI and Smart Cities Educational Background and Expertise This public link is
Ali Othman AlBaji , a 16-year-old farmer’s son, wears a scar on his palm from a falconry accident—a reminder of his father’s lesson: "Courage is not the absence of fear, but the willingness to act in spite of it." Ali is curious and stubborn, often sketching the valley’s forgotten irrigation systems in his tattered notebook. His younger sister, Fatima , is the village’s only solar engineer, a role Ali envies but can’t quite comprehend.
Dr. Albaji did not just keep this knowledge for himself; he became a bridge for his home country. He founded
The research details a practical approach where data on 18 types of noise pollution were collected from 16 locations in Malaysia. Using algorithms like decision trees and support vector machines, the study demonstrates how ML can effectively classify sounds from various sources such as highways, railways, airports, and natural environments. The findings have direct implications for policymakers, urban planners, and municipal authorities, providing them with a data-driven tool for creating healthier, less noisy cities. This work has been recognized with accolades such as the and the Technology Innovation Award from the Research Hypothesis platform.
Specializing in IoT, Wireless Sensor Networks (WSN), and VSAT systems.