FUGA Lecturer Develops AI Platform to Transform Chemical Structure Analysis
By:Usman Ibrahim Geidam
A lecturer at the Federal University Gashua (FUGA), Yobe State, Zannah Zakariya Goni, has developed an artificial intelligence-powered platform that could transform the way scientists analyse chemical structures, offering a faster and more efficient approach to one of organic chemistry's most demanding research processes.
The innovation, ZZG Structure Elucidator: AI for Chemical Structure Analysis, has earned a Bronze AI Judge Rating under the Kanz AI Portfolio in July 2026, bringing national recognition to both the researcher and the university's growing drive for innovation.
The ZZG Structure Elucidator addresses these challenges through a multimodal AI system that accepts spectroscopic data either as numerical inputs or uploaded images.
It analyses the available information and predicts the most likely molecular structure, even where datasets are incomplete.
Speaking on the motivation behind the innovation, Goni said artificial intelligence should serve as a tool that frees scientists from repetitive analytical tasks, allowing them to devote more time to scientific discovery, innovation, and problem-solving.
The platform is expected to benefit researchers, academics, and students by making advanced spectroscopic analysis more accessible, improving research productivity, and reducing errors associated with the manual interpretation of complex chemical data.
The achievement aligns with the vision of the Vice-Chancellor of the Federal University Gashua, Professor Yaqub Ahmed Geidam, to strengthen research excellence, foster innovation, and promote the adoption of emerging technologies in teaching, learning, and community service.
It also reflects the university's growing reputation as a centre for cutting-edge research, with its academics deploying artificial intelligence to address scientific challenges and develop practical solutions with global relevance.
0 Comments