Ali Zarei

Ali Zarei is a Research Fellow at Tampere University's Faculty of Medicine and Health Technology within the Department of Biomedical Technology. Based at the Hervanta campus Festia building, he serves as Grant Holder for a European Union Horizon 2020 project under Marie Skłodowska-Curie grant agreement No. 764713, focusing on measurement instrumentation and micro-robotics automation for biomedical applications.

He holds a Bachelor of Science in Electronics Engineering (2014) and Master of Science in Communications Systems Engineering (2018). His technical foundation spans embedded systems, communications, and signal processing, directly enabling his current interdisciplinary work in biomedical instrumentation.

Dr. Zarei's research integrates Micro-robotics and Measurement Instrumentation to automate mechanical testing of bio-based fibers like flax. He employs advanced Image Processing and Machine Vision for object detection, combined with Machine Learning and Deep Learning algorithms (DNN, CNN) for sensor data analysis. His technical implementation leverages Python, MATLAB, and C/C++ for both data analytics and embedded device programming, significantly enhancing micro-manipulation throughput.

His scientific recognition includes the prestigious Marie Skłodowska-Curie Fellowship, which funds his mission to increase micro-robotic platform efficiency for biomaterial testing. This award supports his development of high-precision instrumentation within the EU's Horizon 2020 framework.

As part of the BioMediTech research unit, he collaborates on interdisciplinary projects merging engineering and medicine. His current work involves optimizing micro-robotic systems at the Festia facility, with future implications for sustainable biomaterials research and tissue engineering applications.