Mohamed Hamza KERMIA

Mohamed Hamza KERMIA is a Post-Doctoral Fellow at the University of Picardie Jules Verne (UPJV), affiliated with the Systems and Control research domain (UR 4290). His work spans interdisciplinary fields including machine learning, medical informatics, energy forecasting, and bioinformatics, with a focus on predictive modeling and data-driven analysis in healthcare and energy systems.

Research interests include:

• Development of hybrid AI models for time-series forecasting (CNN-N-BEATS)
• Energy management optimization in photovoltaic systems and electric vehicle charging
• Antimicrobial resistance profiles (β-lactamases) in ICU pathogens
• Medical device implantation techniques and infection control

His publications demonstrate expertise in both healthcare epidemiology and renewable energy prediction. While no formal teaching roles are indicated, his research contributions bridge computational methods and clinical applications.