YASSER MAHMOUD

National Telecommunication Institute of Egypt (AI & IoT) July 2023

• Introduce the fundamental concepts of the Internet of Things and its applications and architecture.
• Learn AI concepts and intuition training to get you quickly up to speed with AI.
• Learn TensorFlow machine learning framework.

IoT Fundamentals: Connecting Things July 2023 CISCO

• Explain how IoT technologies are transforming Business and Society
• Use sensors, actuators and micro-controllers (Arduino) to prototype an IoT solution
• Describe the role of Network and Fog Computing in an IoT solution

Bridge English General English Program(Denver,CO) December 2015

• learning English by practicing it with Native
• it was focused as well on Speaking,Writing,Reading and Lightning
• exploring an new culture and expressing myself

 HDL Single Cycle Microprocessor MIPS, Spring 2018 University of Memphis, Memphis, TN March 2018 

• Implement an HDL Microprocessor on the CycloneIII DE0
• Result of each instruction displayed on 7Segment Based on the provided instruction set, the data- path and control unit are designed and implemented.
• And then we start to write the Verilog code for the whole design of the MIPS processor

 Automatic water leak detection system, Graduation Project Spring 2019 University of Memphis, Memphis, TN April 2019 

• The proposed solution is an Internet of Things (IoT)Device that will use both hardware and software to control the leak
• I was responsible for the moisture sensor in this project which is a water sensor brick designed for water detection which can be widely used in sensing rain failing, water level even the leakage
• The Action that I already made is making sure that the applied voltage is between 3.3V and 5V, testing to see how much water is required to be detected by the sensor, and testing to see how much power is needed for the sensor to test it with an Arduino to see the input value

 Brain Tumor Detection using Computer Vision(Mini Project NTI ONLINE) 8th July 2023 EGYPT May 2023 

• Our data set is composed of 7023 photo divided into 4 categories which are (No Tumor, Pituitary, Glioma, Meningioma) And it’s divided into Train and test data Test are 1311 (18 %) Photo divided into 300 Glioma ,306 Menengioma , 405 No Tumor , 300 Pituitary
• Training are 5712 Photo divided into 1321 Glioma ,1339 Menengioma , 1595 No Tumor , 1457 Pituitary
• The IoT section we used MQTT to send the messages that we need to send in the application and we used NodeRed as an IoT solutino