Research expertise:• Energy Storage applications: Supercapacitors, Batteries• Ion transport in solid state and liquid electrolytes in bulk and confinement (porous electrodes): Ionic liquids, Poly Ionic liquids, Plastic Crystals, High concentrated electrolytes, Ceramics, Polymer-Ceramic composites, Proton transport in acids• Polymer nanocompositesStrong skills in experimental techniques:• Electrochemical Impedance Spectroscopy / Broadband Dielectric Spectroscopy including low frequencies up to MHz, GHz and sub THz range• Battery testing• Dynamic Light Scattering,• Raman Spectroscopy• Brillouin Spectroscopy• Differential Scanning Calorimetry• Rheology• Atomic Force Microscopy• Scanning Electron Microscopy• Understanding of Infrared Spectroscopy, QENS, and SAXS techniquesMachine Learning Skills:• Deep understanding of mathematical foundations of machine learning algorithms• Deep Neural Networks, Convolutional Neural Networks, Recurrent (Sequence) Neural Networks• Object detection, computer vision: YOLO, R-CNN ResNet, MobileNet, OpenCV, Tensorflow API, Image Segmentation• Tensorflow, Keras• Functional API in Tensorflow: Custom layer, Custom Loss Function, Custom Metrics, Custom Training• Eager and Graph mode in Tensorflow• Transfer Learning, Tensorflow Hub with pretrained models• Distributed Training: Multi GPU/TPU. Different strategies• Time Sequences• Support Vector MachineComputer skills:• Python, Open CV, PyQt, Numpy, Scipy, Pandas, pyVISA, pyQtGraph, Matplotlib and other python libraries, PyCharm, Anaconda environment• Matlab, • C++, C• Javascript,HTML/CSS, • Mathematica, Matcad, Origin• Image Processing: Discrete Fourier Transform, Laplace Transform, Convolution with Filters, RANSAC algorithm, Stitching, Histogram EqualizationMathematical and Algorithm Skills:• Strong skills in applied Mathematics: 1) Probability Theory and Mathematical Statistics; 2) Mathematical Analysis; 3) Linear Algebra; 4) Fourier/Laplace Transform; 5) Discrete Mathematics 6) Operational Calculus and Complex Variable Function Theory; 7) Differential/Integral Equations 8) Vector and Tensor Analysis;