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As a robotic engineer with a strong background in Electronic Engineering and IoT device development, I possess a unique blend of technical expertise and innovation. With a master's degree in Electronic Engineering and experience in developing cutting-edge AI, I am well-equipped to design, build, and implement advanced robotic systems that meet the needs of modern businesses. My technical expertise includes proficiency in programming languages such as C#, Python, and C, as well as experience with ROS (Robot Operating System) and other key robotic software platforms, I also have experience in Artificial Intelligence and embedded Boards
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Thesis: Flexible Capacitive Tactile sensors, Design and Implementation.
Thesis: Disabled Robot.
Energy comparison of MPPT techniques for PV Systems under different atmospheric Conditions HKMF com. Global Scientific Journals 7 (8), 1216.
Diagnose the Size of Left Atrial Appendage for Watchman Device. HKMF com Biomedical Sciences 5 (No. 4), 38-44,
"Flexible Capacitive Sensorsbased on paper sheets." (2016) Fatahi, Masoome, Mojtaba Farzaneh, and SeyedJavad Azimfar.
Accelerate the Face Recognition Technique Optimization with Spatial context model and discrete cosine transform (DCT).” Mojtaba Farzaneh, Toktam Ebrahim zade, Masoome Fatahi “
“Simulation of Wind Generator with Fixed Wind” M. Motahari, M. Farzaneh, A. Parsian Nejad.
Turbine under Matlab-Simulink”. World Academy of Science, Engineering and Technology, International Journal of Energy and Power Engineering Vol: 1, No: 12, 2014.
Accelerate the Face Detection Optimization with Edge Detection and the Discrete Cosine Transform (DCT)”, International Journal of Computer Applications 82 (2), 12-14. November 2013. DOI: 10.5120/14086-1197 J. Haddadnia, M. Farzaneh, A. ParsianNejad. “
"A Novel Methodfor Optimum Electrical Energy Harvesting from Wind Turbines: A Space-Time Modelfor Wind Farm by Neuro-Fuzzy Strategy." Journal of Control 6.3 (2012). Shojaedini, Seyed Vahab, Armin Parsian'nejad, and Mojtaba Farzaneh.
ANN-Based Diagnosis Method for Skin Cancers Using Dermoscopic Images.
Number Plate Recognition.
In This System we give Picture of Skin and then after some of calculation, segmentation and processing result is about detect Melanoma or naevus.
These processes utilize images that were taken by echocardiography (Echo) from the heart of patients and analyzes at high speed with precision, and used the standard table provided by the manufacturer (WATCHMAN) and Neural Network (NN) to determine the accuracy and the appropriate size of LAA for left atrial appendage closure (LAAC).
Far far away, behind the word mountains, far from the countries Vokalia and Consonantia
A small river named Duden flows by their place and supplies it with the necessary regelialia.
Far far away, behind the word mountains, far from the countries Vokalia and Consonantia
Motahhary, Tehran, IRAN