Albert Gilg

Albert Gilg

Albert Gilg (born February 12, 1956 in Peißenberg ) is a German mathematician. As a technology manager at Siemens AG, he works on the mathematical modeling and simulation of technical systems.

Life

Gilg studied mathematics and computer science at the Technical University of Munich . In 1984 he did his doctorate under Roland Bulirsch on the subject of an adaptive collocation line method for the numerical solution of parabolic differential equations with application to tube models from biology .

In 1985 he moved to Siemens AG Corporate Technology in Munich, where he took over a specialist group management in the same year and moved up to senior management in 1991.

Since 1997 he has been an honorary professor at the Technical University of Munich, and in July 2006 the Faculty of Electrical Engineering and Information Theory at the University of the Federal Armed Forces awarded him an honorary doctorate (Dr.-Ing.hc) for his pioneering work in the field of mathematical engineering . More than ten professors have already emerged from his group of employees or doctorates.

Albert Gilg spent several research stays as visiting professor at the University of California, San Diego . He works in an advisory capacity on the advisory board of several academic organizations:

• Graduate School of Science and Engineering (IGSSE, TU Munich)
• Institute of Mathematics and its Applications (Minneapolis, USA)
• Center for Computational Engineering (TU Darmstadt)

plant

As technology manager at Corporate Technology at Siemens AG in Munich, he is responsible for the mathematical modeling, simulation and optimization of technical systems, plants and products. Development projects were aimed at increasing the efficiency of turbines and power plants , where novel simulation and optimization processes were developed. But new algorithms for decoding methods in communications technology have also been developed. Further main topics of his department were and are:

Microelectronics simulation

At the beginning of his career as technology manager at Siemens AG, Albert Gilg headed a department that was involved in the development of simulation tools for processes in microelectronics . Among other things, a circuit simulator for the design and analysis of microelectronic circuits was developed during this time. In terms of the size of the computed circuits and the time required for them, this simulator took a top position. Furthermore, simulation packages for the production of microchips were developed. The focus here was on modeling and simulating doping , diffusion and oxidation processes . In the course of the spin-off of the Siemens semiconductor division, these activities were transferred to Infineon AG.

Complex systems

The field of application of mathematical simulation and optimization processes has become more extensive with regard to various aspects. Today, in addition to plants and power plants, complete infrastructures such as water supply and water disposal systems are modeled and optimized on the computer. The differential-algebraic and partial equation systems that describe the process flows and the process engineering have become considerably larger and must also be combined with discrete models that describe the automation behavior. But the challenges are even greater, since in the future complete mechatronic systems will be virtually planned, designed and operationally supported across all phases of system development using mathematical models. The development of the mathematical concepts and algorithms required for this is one goal of the team of experts led by Albert Gilg.

Robust optimization

Design for Six Sigma or probabilistic design are tasks of increasing importance when it comes to product manufacturing or process control. These techniques analyze and reduce the influence of uncertainties such as manufacturing tolerances or parameter spreads, and thus increase the product or system quality and functionality. In collaboration with the Technical University of Munich (Prof. Peter Rentrop ), Albert Gilg's team of experts developed algorithms to solve stochastic optimization problems with constraints and random differential equations (RDE) and to apply them to industrial tasks.

Web links

• Homepage at the Technical University of Munich