Mubashir Ahmad

Dr. Mubashir Ahmad is a researcher at the School of Physics, Engineering & Computer Science, University of Hertfordshire. His work focuses on applying computational methods to solve real-world challenges in healthcare, infrastructure, and environmental sustainability.

Research Focus

Dr. Ahmad's expertise spans:

• Core AI/ML Techniques: Deep learning, machine learning algorithms, computer vision systems
• Application Domains: Medical imaging diagnostics, pollution modeling, infrastructure inspection automation, and climate impact analysis
• Emerging Areas: Robotic systems integration and big data fusion for industrial applications

Project Engagement

• Deep Learning-powered Apple Disease Detection System (ADDS) (2024-2025): Serving as Co-Investigator to develop AI tools for agricultural disease identification in collaboration with UK farmers.

Publication Trends

His recent publications demonstrate consistent focus on operationalizing deep learning across diverse sectors. Dominant themes include automated infrastructure inspection (sewer systems), medical image analysis (chest radiographs), and environmental forecasting (air quality/pollution). This reflects a cross-disciplinary approach bridging computer science with civil engineering, healthcare, and environmental science.