Konstantin Akhmadeev Email and Phone Number
I have accomplished a four-year PhD research in the domain of prosthetic control, which is a combination of Signal Processing, Machine Learning and design of Human-Computer Interfaces. During this period, I have acquired solid programming skills in Python, Matlab and C/C++, applying them in the fields of digital signal processing, statistical inference, and embedded systems. Also, I conducted classic researcher activity: design of the experiment, scientific writing, bibliographic research and students supervision. With our team, I have developed new methods for analysis of human motor control and simulation of biophysical data. These works were demonstrated in conference and journal papers (IEEE Transactions on Biomedical Engineering). References can be found further in my profile. At this moment, I have defended my thesis and am looking for a new R&D position in areas of signal processing and machine learning, preferably applied to human-computer interfaces.
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Research EngineerMcq Jun 2021 - PresentLille, Hauts-De-France, France -
Research EngineerEcole Centrale De Nantes Oct 2018 - May 2020Nantes Area, France -
Ph.D ResearcherUniversité De Nantes, Laboratoire Des Sciences Du Numérique De Nantes (Ls2N) Oct 2015 - Nov 2019Nantes Area, France -
Graduate TraineeEcole Centrale De Nantes, Laboratoire Des Sciences Du Numérique De Nantes (Ls2N) Jul 2014 - Sep 2014Nantes Area, France(Eng.) Implementation and optimization of the algorithm of an automatic online EMG decomposition. Using Kalman filtering and adaptivity techniques to estimate human motoneurons' parameters and spike trains they emit. Using Matlab to simulate and decompose EMG signals, to estimate the quality of decomposition and present data.(Rus.) Имплементация и оптимизация алгоритма автоматической декомпозиции ЭМГ-сигнала, работающего в реальном времени. Использование фильтрации Калмана и адаптивных алгоритмов для последовательной оценки параметров альфа-мотонейронов человека и генерируемых ими импульсных последовательностей. Использование Matlab для статистического моделирования ЭМГ-сигнала, его декомпозиции, а также для определения качества работы алгоритма и визуализации данных. -
Graduate TraineeGeorg-August-Universität Göttingen, Department Of Neurorehabilitation Engineering Apr 2014 - Jul 2014Göttingen Area, GermanyResearch on distance between sparse spike trains emitted by motoneurons of human body; implementation of an algorithm to classify human's intention for the task of control of an artificial limb. Using Matlab to implement Kernel Support Vector Machines (kSVM) and Kernel Principal Component Analysis (KPCA) on spike trains, working with sparse data. Setting up of an experimental tools for EMG acquisition.
Konstantin Akhmadeev Skills
Konstantin Akhmadeev Education Details
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Computer Science, Automatics And Signal Processing -
4.9 Out Of 5 -
Image And Signal Processing
Frequently Asked Questions about Konstantin Akhmadeev
What company does Konstantin Akhmadeev work for?
Konstantin Akhmadeev works for Mcq
What is Konstantin Akhmadeev's role at the current company?
Konstantin Akhmadeev's current role is Research Engineer at Mcq.
What schools did Konstantin Akhmadeev attend?
Konstantin Akhmadeev attended Université De Nantes, Bauman Moscow State Technical University, Ecole Centrale De Nantes.
What skills is Konstantin Akhmadeev known for?
Konstantin Akhmadeev has skills like Signal Processing, Statistical Signal Processing, Data Analysis, Biomedical Engineering, Matlab, Statistical Modeling, Statistical Data Analysis, Data Mining, C, Bayesian Statistics, Machine Learning, Pattern Recognition.
Who are Konstantin Akhmadeev's colleagues?
Konstantin Akhmadeev's colleagues are Bo Khom, Alain L Ize, Luca Mosetti, Cuauhtemoc Morales, Mikhail Doroshenko, Le Duy Huynh, Ph.d..
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