In my recent work, I’ve been exploring how machine learning can classify environmental sounds to help city planners reduce noise pollution. Technology should serve people and the planet first!
: He expanded into advanced computational systems at the Universiti Teknologi Malaysia (UTM) , graduating with a Master of Engineering in Electronics and Telecommunication Engineering in 2022 with top academic distinctions (A++). During his tenure at UTM, he also served as the President of the Postgraduate Student Society. Pioneering Contributions to Generative AI
Machine Learning for Environmental Noise Classification in Smart Cities Bringing AI Home to Libya
One of Dr. Albaji's most notable contributions is his extensive work on urban acoustics and environmental data analytics. He authored the pioneering textbook Machine Learning for Environmental Noise Classification in Smart Cities , published internationally by Springer. ali othman albaji
A major focus of Dr. Albaji’s research catalog involves using machine learning to solve environmental and urban infrastructure challenges.
Dr. Albaji's published academic portfolio reflects a deep commitment to resolving practical ecological and structural problems using intelligent hardware and software systems: 1. Environmental Acoustic Monitoring and Smart Cities
Dr. Albaji has also achieved official registration and protection of intellectual property rights for the platform under the Libyan Authority for Scientific Research. This innovative scientific platform is designed to disseminate knowledge and science through live-streaming technologies, enhance lectures, workshops, and seminars with AI integration, and support scientific research and skill development for individuals and institutions. The platform is legally registered under Libyan Law No. 7 of 1984 on creative works, ensuring that its intellectual property rights are fully secured. In my recent work, I’ve been exploring how
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.
"We aren't just building algorithms," he would tell his students, gesturing toward a glowing monitor displaying a complex Artificial Neural Network . "We are building a more livable world." His latest project was his most ambitious: a system for Environmental Noise Classification in Smart Cities . By using machine learning
Merged citations. This "Cited by" count includes citations to the following articles in Scholar. Add co-authorsCo-authors. Follow. Google Scholar ALI OTHMAN (0000-0002-1282-1119) - ORCID During his tenure at UTM, he also served
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
He has conducted in-depth studies on designing cellular networks using multiple access techniques, particularly in urban environments like Ipoh, Perak, Malaysia, and Tripoli, Libya. His work includes optimizing GSM-900 networks for capacity and coverage.