The people
behind GaziLab.
A research environment built around experimental rigor, open collaboration and data-driven science.
Dr.-Ing. Gazi Hasanuzzaman
Principal Investigator / Research Group Leader · Aerodynamics, Machine Learning & Flow Control
Dr.-Ing. Gazi Hasanuzzaman is a Principal Investigator of a research project funded by the German Research Foundation (DFG). He is also a Research Group Leader at Brandenburg University of Technology Cottbus-Senftenberg (BTU Cottbus-Senftenberg), Germany, where his group conducts research in experimental aerodynamics, turbulent flows, active flow control and data-driven methods for fluid mechanics.
His research focuses on understanding and controlling complex turbulent flows through a combination of high-resolution aerodynamic experiments, advanced flow-measurement techniques and data-driven modelling. Particular emphasis is placed on turbulent boundary layers, skin-friction drag, uniform micro-blowing, coherent structures, bluff-body aerodynamics and flow-control strategies for sustainable aviation.
His experimental research employs advanced optical and laser-based measurement techniques, including Particle Image Velocimetry (PIV), Stereo-PIV, Time-Resolved PIV, Laser Doppler Anemometry (LDA), Hot-Wire Anemometry (HWA) and Helium-Filled Soap Bubble (HFSB) tracers.
A major direction of his current research is the integration of experimental fluid mechanics with machine learning and physics-informed methods. Through the DFG-funded SPADE-AIM project, he investigates how aerodynamic measurements and artificial intelligence can be combined to develop predictive models for complex shear flows and aerodynamic drag.
He has established international research collaborations with institutions including the University of Michigan, the German Aerospace Center (DLR), Helmholtz-Zentrum Dresden-Rossendorf (HZDR), CNRS Lille and KTH Royal Institute of Technology, Sweden. His research has been supported by several national and European funding programmes, including the DFG, European Regional Development Fund (EFRE) and the European High Performance Computing in Turbulence (EuHIT) programme.
Education
- 2015–2021 — Ph.D. / Dr.-Ing., Brandenburg University of Technology Cottbus-Senftenberg, summa cum laude
- M.Sc. — [degree / institution / year]
- B.Sc. / Dipl.-Ing. — [degree / institution / year]
Professional History
- 2025–present — Principal Investigator / Research Group Leader, BTU Cottbus-Senftenberg
- 2021–present — Habilitation Candidate, BTU Cottbus-Senftenberg
- 2021–2025 — Project Leader, DFG project SENSAERO
- 2015–2021 — Research Associate, BTU Cottbus-Senftenberg
- 2015–present — Teaching in Aerodynamics and Fluid Mechanics
Research Focus
Experimental Fluid Mechanics · Turbulence · Aerodynamics · Flow Control · Drag Reduction · PIV · Wind-Tunnel Experiments · Coherent Structures · Machine Learning · Physics-Informed Neural Networks · Data-Driven Fluid Mechanics
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