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Author

M. Zuhairi

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Open access Sep 2026

Optimizing microbial cellulase fermentation with FERM-AI: risk-aware machine learning framework for fermentation and contamination prediction

Stability, yield, and interactions between variables in the process, combined with the risk of contamination, pose a challenge for optimization of microbial fermentation processes. In this work, FERM-AI, a novel risk-aware machine learning surrogate framework for benchmark evaluation of cellulase fermentation, is p...

Ritu Chauhan, Aarushi Mishra, M. Zuhairi et al. · 0 citations
Open access Sep 2026

Machine learning driven optimization of biofuel powered urban mobility for cleaner and smarter cities

The proposed Biofuel Powered Urban Mobility Platform framework demonstrates the potential of integrating machine learning, biofuel optimization, environmental monitoring, and interactive visualization within a single smart city platform.

Ritu Chauhan, Devanshi Thakur, M. Zuhairi et al. · 0 citations
Open access 2026

Edge- Federated Graph Anomaly Detection With Self-Supervised Representation Learning for IoT Networks

This paper presents an Edge Federated Graph Anomaly Detection (E-FGAD) framework for IoT environments that combines centralized self-supervised pre-training with distributed supervised learning over edge embeddings that outperforms centralized and federated baselines in detecting attacks while preserving privacy.

Nuha A. Hamad, Khairul Azmi Abu Bakar, Faizan Qamar et al. · 0 citations
Open access Jul 2026

PredictRx: AI based decision support tool for molecular screening for breast cancer drug recommendation

PredictRx shows how AI-driven predictive modeling which can speed up molecular screening and early-stage breast cancer medication discovery shows how AI-driven predictive modeling can speed up molecular screening and early-stage breast cancer medication discovery.

Ritu Chauhan, Neha Pandey, M. Zuhairi · 0 citations

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