Imej profil goitomy12
@goitomy12
Penanda Ethiopia Mekelle, Ethiopia
Ahli semenjak 27 Jun 2018
0 Cadangan

goitomy12

Dalam Talian Luar Talian
Greetings, I am an Electrical Engineer with MSc. in Microelectronics Engineering and 7 years of experience in higher education, university. My field of expertise include: => Circuit Design, Analog and Digital Electronics, Mixed Signal Processing => Digital Logic and System Design, VLSI. => FPGA & Micro-controllers: 8051, PIC, Arduino, PI, ARM => WSN, DSP, Image Processing, Face & Licence Plate Recognition. => Power Electronics, Power Systems, => Control Systems: System Identification, PID, Fuzzy and IOTs => Algorithms, LABVIEW, Machine Learning and PCB Design. CAD Softwares: => Matlab/Simulink, uKEIL. => Vivado, Quartus, Modelsim, and ActiveHDL => Altium, Eagle, Proteus => ADS, ETAPs, PowerFactory, PSCAD, PLECS, & Power World. Languages: => Matlab, Embedded C/C++, Assembly, Verilog / VHDL and Python. Translation Amharic, Tigrinya to English, German and Spanish. Contact me for any kind of job related to Electrical Engineering. IT IS MY PLEASURE TO HELP YOU.
$18 USD/hr
5 ulasan
3.2
  • 100%Kerja Diselesai
  • 84%Mengikut Bajet
  • 100%Tepat Pada Masa
  • 14%Kadar Ulang Upah

Portfolio

Ulasan Terkini

  • Imej Rafisafi Project 17977753 has been deleted $60.00 USD

    “Does work Professionally. Will recommend hiring.”

  • Imej Brajesh C. SIMULINK_Buck_boost_modeling ₹3300.00 INR

    “excellent support [18 October, 2018] excellent support”

  • Imej hayat38402 Project for Goitom Y. $175.00 USD

    “Goitom Y. gave me Highly professional work, He is so committed”

  • Imej hayat38402 Task in VHDL $100.00 USD

    “He gave me very good work, He help me through out the work and gave me very useful ideas. I am happy to work with him. HIGHLY RECOMMENDED”

Pengalaman

Lecturer

Sep 2011

I am a lecturer in Mekelle Institute of Technology (MIT), Mekelle University, Ethiopia.

Pendidikan

MSc in Microelectronics Engineering

2010 - 2012 (2 years)

BSc. in Electrical Engineering

2006 - 2010 (4 years)

Kelayakkan

Machine Learning (2014)

Coursera

This course provides a broad introduction to machine learning, data mining, and statistical pattern recognition. Topics include: (i) Supervised learning (ii) Unsupervised learning The course will also draw from numerous case studies and applications, so that you'll also learn how to apply learning algorithms to building smart robots (perception, control), text understanding (web search, anti-spam), computer vision, medical-bioinformatics, audio, database mining, and other areas.

Fundamentals of Digital Image and Video Processing (2014)

Coursera

This course covers the fundamentals of image and video processing. It provide a mathematical framework to describe and analyze images and videos as two- and three-dimensional signals in the spatial, spatio-temporal, and frequency domains. The Course covers theoretical and practices; learning fundamental processing tasks including image/video enhancement, recovery, and compression using state-of-the-art techniques and tools.

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