LION Smart GmbH | Advisory Board - Lithium-ion storage technology - batteries

Advisory Board

The advisory board consists of the following business people:

Martin Ertl

Chief Innovation Officer, Bombardier Transportation, Berlin (Germany)

After finalizing his studies in industrial engineering he joined AUDI AG in 1996 and worked in several managerial and non-managerial functions covering HR, manufacturing and design until 2004. In parallel he successfully completed an Executive MBA in 1999/2000 at the Universities of Augsburg and Pittsburgh.

In January 2005 he joined BMW AG as Head of Innovation Impulses. His responsibilities covered the scouting and monitoring of promising trends, innovations and technologies outside the automotive business by using classical methods as well as external networks and open innovation methods.

Since July 2008 he is with Bombardier Transportation as Chief Innovation Officer. His responsibility is to set up and implement an innovation strategy, a structured and holistic innovation management, the governance of the process along the value chain and support/training of the divisions and business unit in generating innovations.

Prof. Dr. habil. Martin Leucker

Martin Leucker is currently a professor at Technical University of Munich in the field of computer science.

He studied mathematics and computer science at RWTH Aachen University, Germany, graduating with a diploma in mathematics in 1996 and a doctoral degree in computer science in 2002. Afterwards, he worked as a PostDoc at the University of Pennsylvania, USA, and at Uppsala University, Sweden. He pursued his Habilitation at Technical University of Munich in 2007.

Martin Leucker is the author of more than 70 reviewed conference and journal papers ranging over formal methods, modelling and analysis techniques, software engineering, and theoretical computer science. He is regularly visiting research groups at NASA, Stanford University and ENS Cachan/Paris. He is frequently a program committee member of top ranked conferences.

Together with Martin Sachenbacher, he established the field of energy informatics at Technical University of Munich, which focuses on the application of methods developed in computer science to model and reason about energy aspects of systems, especially in the area of electric vehicles. Both are currently involved in the project eE-Tour Allgäu, a larger German project to optimize the usage of electric vehicles in rural areas.

Web: http://www4.in.tum.de/~leucker/

Dr. Martin Sachenbacher

Martin Sachenbacher heads the Emmy Noether junior research group "Constraint-based Models and Algorithms for Self-Diagnosis and Planning" at the Department of Computer Science at Technical University of Munich.

He graduated from Technical University of Munich with a diploma in computer science in 1996, and a doctoral degree in computer science in 2001. From 1996 to 1999, he worked as a postgraduate at Robert Bosch GmbH, Stuttgart on a European project on vehicle model-based diagnosis. From 2002 to 2005, he was a PostDoc at MIT's Computer Science and Artificial Intelligence Laboratory, USA.

The focus of his research are intelligent technical systems that can diagnose, plan and optimize their behavior based on probabilistic models and combinatorial search algorithms. Together with Prof. Dr. Martin Leucker, he is involved in the German project eE-Tour Allgäu, which aims to optimize the usage of electric vehicles in rural areas.

Ferdinand Wiesbeck

Scientist at the Technical University of Munich (TUM)

Mr. Wiesbeck studied Mechanical Engineering at the Technical University of Karlsruhe and at Purdue University in West-Lafayette, USA. Since 2006, he has been a scientist at the TUM; his area of expertise and the focus of his research is electrified drive propulsion systems. Mr. Wiesbeck has two registered inventions to his credit. In his capacity as academic researcher, he assists the TUM chair in automotive engineering at the Electric Mobility research centre, where he leads the “Functionality of wheel-select propulsion systems” project.