Assistant Professor

Phone Number: 

Areas of Research

Locomotion in Complex Fluids and Biofluids
Biomedical Applications of Microswimmers
Smart Low-Re Swimmers


Ebru's (she/her/hers) research approach combines numerical simulations and experiments to investigate locomotion in complex fluids and biological environments to help realize biomedical and environmental applications such as targeted drug delivery, diagnostics, and waste elimination. Her interdisciplinary research program focuses on utilizing fluid mechanics/dynamics and machine learning techniques to solve engineering problems across various engineering disciplines, including robotics, biomedical engineering, and advanced manufacturing. Locomotion in bio-fluids and complex environments is  investigated across multiple scales through novel designs ranging from bioinspired artificial microswimmers to scaled-up intelligent robots. She also enjoys taking part in interdisciplinary collaborations where she can contribute her expertise and experience in experimental design, simulations, and rapid prototyping to create flow based medical devices. 

Ebru Demir received both her BS and PhD degrees in Mechatronics Engineering from Sabanci University, Istanbul, Turkey. She continued her research activities as a postdoctoral research fellow in Mechanical Engineering Department at Santa Clara University, California, before joining Lehigh MEM Faculty. Her research activities lie at the interface of thermo/fluids, biomedical engineering, and robotics, with a focus on biomedical applications of artificial microswimmers.

PhD positions in DEMIR Lab will be announced here as they become available. One PhD position is available with a Fall 2023 start date. Inquiries sent to Prof. Demir's Lehigh email will not be evaluated. Please send your CV and transcripts (unofficial is ok) with an email highlighting your experience in one or more of the following areas/tools to lehighdemirlab@gmail.comExperimental fluid mechanics, CFD, CAD, rapid prototyping, clean room processes, image processing. Fundamental knowledge on fluid mechanics is required. This position is particularly suited to candidates with CFD experience. Candidates proficient in coding (MATLAB, C++or other languages) with a publication record (for MSc degree holders) are strongly preferred. Knowledge on machine learning is a plus, but not a requirement. 


PhD, Mechatronics Engineering, Sabanci University
BS, Mechatronics Engineering, Sabanci University