Peter Sels

Background

About Peter Sels

Main Skills: Operations Research, Mathematical Modelling, Optimisation, Computer/Computation Science, Programming, Research Optimisation : Integer Linear Programming (MILP), Gurobi, CPLEX, XPRESS, CBC Data Science: Python XGBoost, FB Prophet, some R, various Pattern Matching algorithms OOP: C++, Qt, C#, Java, some Scala Scripting + Data Science: Python,(Perl, bash, Korn shell, bat if needed:) Web: PHP, JavaScript, Ajax, Django+Django REST DataBase design + im;lmentation: MySQL, SQLite, quite route from spreadsheet to DB Mobile: developed 5 iOS Apps, 1 Android App Research: Efficient Algorithm Development. Optimisation, R, conference & journal paper writing, publishing & reviewing Embedded: C, embedded Coolflux C, Rabbit C, Debugging with Scope & Logic Analyzer Digital Chip Design: VHDL Application Fields: Energy: Energy Markets, Energy Efficiency, Renewable Energy, Optimal Market Clearing, Optimal Power Flow Railway: Automatic (via Optimisation, MILP) Train Scheduling (Cyclic Timetabling), Train Platforming & Routing, Electronics: Digital Chip/FPGA Design, Tool Development for Advanced HW & SW co- Design, PCB design Automation: Research & SW Quick Prototyping Mindset/Attitude: Love: reading, understanding, thinking, writing and creating, delivering value & helping others. Curious for: Machine Learning, specifically if/where reinforcement learning could be an alternative to Integer Programming.