Mehrdad Davoudi

Doktorandin Und Wissenschaftliche Mitarbeiterin @Universitätsklinikum Heidelberg (UKHD)

Heidelberg, DE

Thesis: Muscle activation patterns in gait with cerebral palsy (CP).I apply AI, signal processing, and advanced electromyographic (EMG) analysis to enhance gait assessment and support clinical decision-making in patients with cerebral palsy. My work integrates statistical modeling and machine learning to drive advancements in biomechanics and surgical planning, effectively bridging the gap between academic research and real-world medical practice.My role as a research assistant also includes:• Assisted with daily gait and clinical data collection and processing for patients.• Presented research findings at seminars and conferences, translating complex data into clear insights for academic and clinical audiences.• Contributed in developing a DFG-funded research grant proposal on EMG.

Sharif University of Technology

Master's degree, Mechanical Engineering

Amirkabir University of Technology - Tehran Polytechnic

Bachelor's degree, Mechanical Engineering