Hello there!
My name is Miriam, I’m a PhD Student at Technical University of Munich.

Hi, I’m Miriam Senne! With a background in Electrical and Information Technology from TUM, my journey has taken me from studying abroad in Singapore to exploring Robotics, Computer Vision and Neuroengineering. Now, as a PhD Student at TUM in collaboration with Rohde&Schwarz, I’m passionate about integrating Microwave Imaging and AI to drive innovation in healthcare.

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My Publications

Microwave Imaging vs. 3D Laser Scanning for Body Measurement

Capturing accurate body dimensions is essential for the apparel industry, especially in custom garment creation. Traditional methods, like measuring tapes and 3D scanners, require minimal or no clothing for precision. Microwave Imaging (MI) offers a faster, more comfortable alternative by capturing body measurements accurately through clothing. This study compares MI to conventional methods, demonstrating its potential for practical use in the clothing industry.

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MoBluNet: Detecting Motion Blur in Microwave Imaging Efficiently

Motion blur affects both conventional and microwave images, impacting image analysis and Computer Vision tasks. This work explores motion blur detection in microwave imaging using conventional methods and Deep Learning approaches. Our lightweight, hyper-optimized CNN, MoBluNet, outperforms larger models and traditional techniques on a dedicated dataset. With its small size and efficiency, MoBluNet enables real-time motion blur detection at minimal computational cost.

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Grip Force Dynamics During Exoskeleton-Assisted and Virtual Grasping

Grip force dynamics during grasping reveal sensorimotor control and neurological conditions. This study examines grip force changes in exoskeleton-assisted and virtual object grasping with six healthy participants. Results show that a compliant hand exoskeleton preserves natural grip force dynamics, while users quickly adapt to virtual object weights. Understanding these adaptations may enhance the design and effectiveness of neurorehabilitation methods.

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Biography

Hi, my name is Miriam Senne, and I hold both a Bachelor’s and Master’s degree in Electrical and Information Technology from the Technical University of Munich (TUM). In 2019, I had the opportunity to study abroad at Nanyang Technological University (NTU) in Singapore, where I immersed myself in the culture and developed an interest in computer vision.

During my Master’s, I focused on automation and robotics, while also attending courses in Neurorehabilitation, which sparked my passion for medical applications. At TUM’S Institute of Cognitive Systems (ICS), I worked on developing rehabilitation games and exoskeletons to support patients’ recovery.

A significant milestone in my journey was my team’s second-place at the Engineering Competition by Rohde&Schwarz in 2022. This led to my collaboration with them for my Master’s thesis, where I became fascinated by their Microwave Imaging technology. Today, I’m pursuing a PhD at TUM in collaboration with Rohde&Schwarz, with the goal of integrating AI and medicine through innovative uses of Microwave Imaging.