Muhammad Kamran Moiz

Ongoing Industrial Master thesis on topic: Ongoing thesis on topic 'Artificial Neural Network based Online Network Strength Estimation'. Duration of thesis: 6 months from 04.2018 till 09.2018 Working student as a pre-requisite of Master Thesis for development of Supervised Machine Learning Algorithm. Duration: 3 months from 01.2018 till 03.2018 Internship at Siemens EM TS PLM TSP FT with focus on Siemens SVC PLUS FS. Internship duration: 5 months from 07.2017 till 11.2017

Student assistant in Developing Sustainable Transmission Systems. - Transmission Expansion Planning (TEP) of German Grid for 2023. - Load flow calculations for interconnected DE-EU grid (2023). - Power re-dispatching using a Benchmark case study. - Visual analytics for Renewable and conventional generators.

Student assistant worked on multiple projects: 1. Prototyping & Testing of Programmable DC Electronic Load - Testing of the load for Constant Current - Voltage - impedance. - Hardware realization of Feedback Control Loop using Modular approach. 2. Consortium for Research on Low Voltage DC Landscape - Comprehensive Database on MS Access for R&D in the field of LV DC. - Estimating Future Trends & market potential in key global regions.

Major courses with focus on Development in Power Systems at Transmission Level were taken: High Voltage Engineering Automation of Complex Power Systems Modelling & Simulation of Complex Power Systems Power System Dynamics Modern Control Systems

Electrical Engineering Program with mandatory courses from EE&IT / ECE Faculty and electives based on Electrical Power Systems.