Mohammad Hafiz bin Ismail

Mohammad Hafiz bin Ismail is an academician and researcher at Universiti Teknologi MARA (UiTM), specializing in Machine Learning and Artificial Intelligence, specifically the optimization of deep learning architectures for deployment in resource-constrained and human-centric environments. His research in Computational Intelligence and Computer Vision systematically benchmarks the efficacy of Convolutional and Recurrent Neural Networks (CNN/RNN) to advance automated threat detection in Cybersecurity and biological health monitoring in Precision Agriculture. By prioritizing the balance between accuracy and computational efficiency in lightweight models, his work extends into Software Sustainability and System Modeling, where he developed the Integrated Software Sustainability Evaluation Model (i-SSEM) and utilizes fuzzy logic systems to synthesize objective environmental data with subjective human experience for robust predictive modeling.