Mohammad Mohammadi Zadeh

WORK HISTORY

EDUCATION

ABOUT MOHAMMAD MOHAMMADI ZADEH

Electrical Engineer with a passion for Control and Automation. I hold a Bachelor\'s degree in Electrical Engineering specializing in Control and Automation and Master of Science in Electrical Engineering, at Politecnico di Milano. During my length of service at the Jahan Ara steel-making plant, I contributed to the electrical technical office, gaining hands-on experience in various testing,cable pulling, connections, fault detection, and more. I thrive in dynamic environments and have developed strong skills in instrumentation and programming through a combination of practical experience, internships, and self-directed learning.During my internship at Bosch\'s Tienen location in Belgium, where I was immersed in the world of embedded systems and cutting-edge technology, my focus was on National Instrument CompactRIO system, as I worked diligently on developing Condition Based Monitoring (CBM) solutions for predictive maintenance through vibration analysis.Curently at Zipfluid, I am designing the control system, wiring diagram and plc code for loading arms, designing their HMIs, testing them and finally supporting the clients online or in person.My expertise includes following domains-Automation and Control: Proficient in PLC programming (Tiaportal, S7), embedded systems, CompactRio, Solidwork Electrical, EasyBuilder- SKF microlog, SoMove Schneider, NI CompactRio, Modbus, Fieldbus, LabView programming-On-site Operations: Familiar with cable types, quality control, and technical writing-Machine Learning: Skilled in supervised learning techniques for prediction tasks, as well as unsupervised learning methods like clustering-Computer Vision and 3D Modeling: Experienced in applications of OpenCV, 3D modeling, and photogrammetry, XG-X Vision Editor Software for Keyence Company Cameras in Bosch Production line Reinforcement Learning: Proficient in parameter optimization and genetic algorithms-Neural Networks: Experienced with various architectures such as MLP, RBF, SVM, and Hopfield networks-Fuzzy Logic: Proficient in fuzzy control, ANFIS, TSK, and clustering using neural gas and GNG.As I continue to pursue my Master\'s degree, I am also dedicated to staying updated with the latest advancements in the field, particularly in the realm of Implementation of Machine Learning algorithms in Industry, Data analysis to Optimize the method for industry 4.0. My goal is to contribute to innovative projects that leverage my diverse skill set.Connect with me to explore opportunities at the intersection of Electrical Engineering, Control, and Automation