Research & Publications
Peer-reviewed work in AI, speech & language
My research explores how deep learning and generative AI can understand and reproduce human speech and language — from speaker recognition to Arabic machine translation.
222+Total Citations
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7i10-index
5Research Areas
Focus Areas
What I research
Speaker & Speech Recognition
Deep learning and CNN-based approaches to automatic speaker recognition — my most-cited line of research.
Generative AI & Deep Learning
Architectures and training strategies for generative and deep neural models applied to real-world data.
NLP & Machine Translation
Natural language processing with an emphasis on Arabic — a linguistically complex, lower-resource language.
Selected Publications
Journal & conference papers
A selection of my published research. For the complete and continuously updated list, visit my Google Scholar profile.
A deep learning approach for speaker recognition
58Citations
Convolutional neural network vectors for speaker recognition
39Citations
Bottlenecks in Nigeria's fresh food supply chain
36Citations
A novel scoring method based on distance calculation for similarity measurement
26Citations
Deep learning approach to integrate CNNs in speaker recognition
19Citations
Unlocking the language barrier: Arabic machine translation
14Citations
Predictive modelling of MapReduce job performance
10Citations