Summary
Konstantin Akhmadeev is a research engineer with 11 years of experience specializing in signal processing, machine learning, and human-computer interfaces, grounded in a PhD on prosthetic control. He combines strong software skills in Python, Matlab and C/C++ with hands-on expertise in digital signal processing, statistical inference and embedded systems to move algorithms from simulation to real-time implementation. His research includes novel methods for analyzing human motor control and biophysical data that have been published in IEEE Transactions on Biomedical Engineering. Konstantin has led experiment design, scientific writing and student supervision, and has practical experience deploying adaptive Kalman-filtering and EMG decomposition pipelines. Based in Lille, France, he is seeking R&D roles that bridge advanced signal-processing research and applied machine learning for assistive technologies.
11 years of coding experience
5 years of employment as a software developer
PhD, Computer Science, Automatics and Signal Processing, PhD, Computer Science, Automatics and Signal Processing at Université de Nantes
Master's degree, Image and Signal Processing, Master's degree, Image and Signal Processing at Ecole centrale de Nantes
Specialist, Electronics, Automatics, Signal Processing, Computer Science, 4.9 out of 5, Specialist, Electronics, Automatics, Signal Processing, Computer Science, 4.9 out of 5 at Bauman Moscow State Technical University
Русский, English, French