About me

Hi there 👋, 안녕하세요?
I am Bassirou a Senegalese living in Korea. 은자이 바시루 입니다.

Experiences

- Basic sciences (physics, chemistry, mathematics): solid foundations
- Computational Sciences: modeling and simulation of complex dynamical systems (classical solid or fluid bodies and quantum particles or waves) with numerical methods for algebrization and discretizatiion of the differential equation based- models.
- Computational Materials: Use of quantum chemistry first-principle methods such as density functional theory for Crystal and molecular structures visualization, diffraction pattern generation (using CrystalMaker, The Materials Project, Atomate) and use of molecular dynamics and mechanics methods for modeling the dynamics of atoms and molecules (using Spartan)
-- Electronic structure: calculations and visualisation (using VASP)
Possibilities to use machine learning methods for prediction and structures generation.
- Data processing and analysis: using machine and deep learning dimensionality reduction and clustering methods, specially, SVD, PCA techniques and Kohonen SOM neural networks.
- Communication Systems: RF and microwave communication, RF and microwave electrical and electronic devices, control systems, analog and digital signal processing
- Material Sciences: functional materials (dielectrics, semiconductors, superconductors and magnetic materials)
- Device Physics: CMOS devices from functional materials
- Characterization Tools: principle, instrumentations, measurement procedures for spectroscopy (Nuclear Magnetic Resonance), and diffraction (X-ray diffraction)
- Research: procedures, laboratory safeties and policies
- Programming: algorithms, data structures, languages, libraries and coding.

Skills

- Material: simulation using quantum chemistry methods and AI enhancement for electronic, molecular and crystal structure, synthesis, local structural & dynamical characterization with NMR and X-ray.
- Devices: RF and microwave devices (L-networks, transmission lines, mixers, filters) design and analysis using EDA schematic editors (KiCad, QucsStudio) and fabrication
- Devices: CMOS devices simulation of quantum transport in diodes, quantum wells, transistors, using TCAD softwares with built-in numerical solvers (nextnano, NESS)
- NMR: Solid-state NMR experiment procedures, signal and resolution enhancements.
- Signal Processing : NMR analog and digital signal processing
- Control Systems : Controller design, NMR auto tune/match as hobby projects.
- Data Processing and Analysis: NMR data processing for structural and motional analysis using formula calculation, regression methods, quantum chemistry first-principle methods, machine learning methods.
- Coding: with Matlab, Simulink/ Python/ C++/ C / C# / Fortran / Java / Markups: HTML, LaTeX, Markdown /Git
- Teaching : Physics, Mathematics, Communication Systems, a bit of Chemistry and Coding.
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Interests

- Quantum Computing:
-- Algorithms and circuits for quantum computation, error correction, quantum machine learning
-- Hardware development for spin qubit decoherence and two-qubits operation challenges
- Neuromorphic Computing: Ferroelectric-based synaptic devices.