Ing. Anas Husain

Process analytical technology engineer with focus on advanced process control

• Responsible of brake system. • Responsible for technical documentation. • Requirement management. • Configuration management. • Management of engineering budget and planning.

- Maths self-study, attending classes as a guest student at Potsdam University - Improving skills in the field of machine learning and statistical learning theory. - Pursuing interests on the topic of decentralised micro-grids, developed a concept for a "power rooter".

• Creating functional architecture for train control systems: battery, high voltage and traction systems. • Modelling system functions with SysML • Creating design patterns of technical solutions.

• Managed R&T projects. • Initiated and led R&T project on power line communication for train control functions • Applied data mining and machine learning to automate standardisation process of electrical and mechanical components with R. • Designed wiring systems for a bid project. • Provided consulting to projects for LV component selection and wiring best practices. • Developed a tool for optimal power cable sizing. • Worked with procurement to define standard suppliers and components.

• Developed concepts for propulsion and auxiliary power supply systems for S-Bahn Hamburg project. • Designed the 24VDC system for Metro Stockholm Red Line metro, sizing components, selecting suppliers, defining architecture and integration • Research: developed a new methodology for power cable sizing (thermodynamic modelling and simulation, lifetime estimations of insulating material, temperature statistical inference, in MATLAB and Python).

L3 MFA This specialisation provides the basis of mathematics. • Modules: topology and differential calculus, integration and Fourier analysis, algebra, differential equations, measure theory and probability, holomorphic functions, modeling in analysis and probability.

• General description: generic engineering, specialised in power systems and controlling. • Key modules: power electronics, electrical machines, control engineering, DSP, electronics, computer science.