Mechanical and Production Engineering

Mr. Nabil Mohammad Chowdhury

Research Interests

• CFD, Turbulent Flow
• Aerodynamics
• Heat and Mass Transfer, Thermal Management
• IC Engine, Aircraft Engines, Automotive Engines
• Energy Conversion, Combustion
• Machine Learning

Educational Background

• Bachelor of Science (BSc), (Mechanical Engineering), Ahsanullah University of Science and Technology

Honors and Achievements

• 1st position in Dean’s List of Honor, Ahsanullah University of Science and Technology, 2022
• Allan Staniforth Award Class 1 Best Newcomer At Formula Student (Team Award), The Institution Of Mechanical Engineers, 2019
• Spirit Of Formula Student At Formula Student (Team Award), The Institution Of Mechanical Engineers, 2019

Publications

1. CFD data-driven machine learning predictions of thermal-hydraulic of Y-shaped inserts with novel diamond-shaped protrusions in tubular heat exchangers, International Communications in Heat and Mass Transfer, 2025. URL
2. Optimization of Hydrothermal Performance in Industrial Heat Sinks with Innovative Perforated Pin Fin Designs: A Numerical Approach, Heliyon, 2024. URL
3. Numerical Investigation on Consecutive Charging and Discharging of PCM with Modified Longitudinal Fins in Shell and Tube Thermal Energy Storage, Results in Engineering, 2024. URL
4. A novel case of honeycomb shaped pin fin heat sink: CFD-data driven machine learning models for thermal performance prediction, Case Studies in Thermal Engineering, 2024. URL
5. A novel pin finned structure-embedded microchannel heat sink: CFD-data driven MLP, MLR, and XGBR machine learning models for thermal and fluid flow prediction, Energy, 2024. URL