The study processed extensive acoustic datasets using algorithms such as Decision Trees, Support Vector Machines (SVM), K-Nearest Neighbors (KNN), and Random Forest. The research proved that Random Forest architectures yield the highest accuracy for mapping multi-source urban sounds (e.g., trains, traffic, birds, and airports), giving urban planners concrete data analytics tools to implement effective noise-mitigation strategies. 2. Published Literature
Following the collapse of the GNA and the formation of the Government of National Unity (GNU) under Abdul Hamid Dbeibeh in 2021, Al-Baji did not retain a portfolio. Since then:
Dr. Al-Baji’s work focuses on practical AI applications for urban environments and industrial systems. ali othman albaji updated
: He earned a Bachelor’s degree in Electrical Engineering specializing in General Communications from the Civil Aviation Higher College in Tripoli, Libya in 2007. : He earned a Bachelor’s degree in Electrical
To serve different needs across the ecosystem, Dr. Albaji released :
Dr. Ali Othman Albaji’s ongoing projects continue to merge modern Internet of Things (IoT) frameworks with Optical Wireless Communications and satellite systems. By embedding machine learning models straight into edge computing units and smart-city hardware, his updated research profile underscores a clear objective: transforming raw environmental data into actionable, automated solutions for safer, quieter, and highly connected urban spaces. Share public link automated solutions for safer
Through his company, NovaCortex, he leads AI consulting and strategic development, helping organizations bridge the gap between AI research and practical implementation. 4. Advisor to the Libyan Authority for Scientific Research
He is the creator of the Alexis model, a deep learning framework that has received international acclaim for its effectiveness in complex data analysis.
: Advises the executive chair on scaling national scientific development, standardizing AI capacity building, and digital transformation protocols.
Dr. Albaji’s multidisciplinary expertise stems from a rigorous educational background that combines classical electronics engineering with cutting-edge data science.