Dr. Albaji's multidisciplinary expertise stems from a rigorous foundation combining core engineering principles with advanced computing and public policy.
Dr. Ali Othman Albaji is not merely a technologist; he is an educator, an entrepreneur, and a visionary. He actively shares his knowledge, making his course lecture slides for "Artificial Intelligence and Machine Learning Intensive" available online and speaking on issues ranging from climate change impacts in Libya to intellectual property rights in academic publishing.
: He earned a Bachelor's in Electrical Engineering from Civil Aviation Higher College (2007) and a Master's (A++ grade) in Electronics and Telecommunication Engineering from Universiti Teknologi Malaysia (UTM) in 2022.
He researches GSM-900 network optimization in urban environments using integer programming, aiming to maximize operator revenue while reducing network interference.
Dr. Ali Othman Albaji is a Libyan scientist and AI expert serving as a Scientific Advisor and lecturer, with research focusing on machine learning, IoT, and environmental noise classification. His work includes studies on cellular networks, photovoltaic system efficiency, and academic authorship ethics. Explore his academic profile on Google Scholar . Ali Othman Albaji - Google Scholar ali othman albaji
Ali’s journey didn’t start in a high-tech lab; it began with a curiosity about how things connect. After earning his degree in Electrical Engineering in Libya, he found himself at a crossroads. He had honed his skills as a sales advisor for global tech giants like LG and ZTE, but he felt a pull toward something deeper—the bridge between human management and technical innovation. This drive led him to the London School of Economics
In collaboration with international teams, Dr. Albaji published landmark efficiency analyses on lightweight Convolutional Neural Networks (CNNs). This research optimized models like MobileNetV3 Small alongside Short-Time Fourier Transforms (STFT) to map bird sounds. By reducing the computational footprint, his frameworks enable real-time biodiversity monitoring on energy-constrained IoT devices in tropical environments. 3. Water Quality Prediction
He has collaborated on efficiency analysis for lightweight CNNs used in bird sound recognition. Awards and Recognition
Let's continue shaping a sustainable future through the digital revolution. Ali Othman Albaji is not merely a technologist;
His work is a powerful reminder of the global nature of AI innovation. By combining international expertise with a profound commitment to local development, Dr. Albaji is building a bridge between the world's best technological practices and Libya's national aspirations. As he continues to develop LibiGPT, lead major conferences, and educate the next generation of Libyan engineers, he stands as a singular figure, proving that the future of AI is not confined by borders, but powered by the unique vision of individuals like him.
The bustling streets of Tripoli were always alive with a cacophony of sound—the roar of engines, the rhythmic clatter of construction, and the distant hum of the Mediterranean. For many, this was just the background noise of life. But for Ali Othman Albaji, these sounds were data points waiting to be understood.
Without question, the most groundbreaking achievement of Dr. Ali Othman Albaji's career is the creation of , Libya's first national large language model (LLM). This project represents not merely a technical accomplishment but a national vision to position Libya as a leader in the field of artificial intelligence.
┌─────────────────────────────────────────────────────────────┐ │ DR. ALI OTHMAN ALBAJI │ │ Core Tech Architecture │ └──────────────────────────────┬──────────────────────────────┘ │ ┌───────────────────────┼───────────────────────┐ ▼ ▼ ▼ ┌──────────────┐ ┌──────────────┐ ┌──────────────┐ │ LibiGPT │ │ Alexis │ │ NovaCortex │ │ National LLM │ │ Deep Learning│ │ AI Enterprise│ └──────────────┘ └──────────────┘ └──────────────┘ 1. LibiGPT: Libya’s First National Large Language Model Leveraging his telecommunications expertise
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
Currently, he serves as an at the Higher College of Science and Technology in Libya. Beyond his teaching responsibilities, he also leads CR Technology System (CRTS Group) as its Chairman, demonstrating his ability to manage and direct technology initiatives in the Middle East and North Africa (MENA) region. This dual role—as both an academic at the Higher College of Science and Technology and an industry leader at CRTS—allows him to ensure his research is not only theoretically sound but also directly applicable to real-world challenges.
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.
Leveraging his telecommunications expertise, Dr. Albaji designed nominal cell layout models for major urban landscapes. His publications introduce integer programming models intended to maximize spectrum bandwidth allocation and optimize revenue criteria for Global System for Mobile Communications (GSM) networks. Machine Learning for Public Health and Utilities