Dr Debasish Sarker

Dr. Debasish Sarker is an Associate Professor in the Department of Mechanical Engineering at the International University of Business Agriculture and Technology (IUBAT), Bangladesh. His research focuses on multiphase flow dynamics, nucleate boiling heat transfer, and thermal management systems. He received his Ph.D. in Mechanical Engineering from Technische Universität Dresden, Germany, in 2020, where he investigated the influence of heater surface characteristics on bubble dynamics in subcooled nucleate boiling. He subsequently joined Delft University of Technology, The Netherlands, as a Postdoctoral Researcher, conducting research on the hydrodynamics and mass transfer of bubbly flows using advanced optical and X-ray imaging techniques, including shadowgraphy and Particle Image Velocimetry (PIV). Dr. Sarker has been internationally recognized for his contributions to thermal-fluid sciences and was awarded the SGR International Research Scholarship (Scheme 2) in 2023 and 2026. His research expertise encompasses multiphase flows, computational fluid dynamics (CFD), thermal management and refrigeration technologies, image processing, renewable energy systems, and data-driven modelling. He has authored numerous peer-reviewed publications and actively collaborates with researchers from academia and industry worldwide. At IUBAT, Dr. Sarker teaches Thermodynamics, Fluid Mechanics, Heat and Mass Transfer, Instrumentation and Measurement, and Refrigeration Technology. He also serves as the departmental coordinator for Outcome-Based Education (OBE) and supervises undergraduate research projects in thermal-fluid engineering and CFD. His current research integrates advanced diagnostics, numerical modelling, image processing, and machine-learning approaches to investigate multiphase transport phenomena, including vapor bubble dynamics and wall heat flux partitioning in water–ethylene glycol mixtures, bubble behavior in complex liquid environments, reconstruction of distorted PIV measurements, passive cooling technologies, and uncertainty quantification in solar power forecasting. Through these studies, he seeks to improve the predictive understanding of transport processes and support the development of high-performance thermal management and sustainable energy systems.