# Prof. Dr. Josef Kainz

**Source**: https://ent.cs.tum.de/en/team/josef-kainz
**Parent**: https://ent.cs.tum.de/en/

## Professional Career

Since 2015
:   Professor (Professorship Energy Technology at Weihenstephan-Triesdorf University of Applied Sciences) at the TUM Campus Straubing for Biotechnology and Sustainability

2013
:   Appointment as "Leading Technical Expert" in the expert field "Airpath advanced concepts" at Continental

2008–2015
:   Development Engineer at Continental Automotive GmbH (Advance Development Engine Systems, Powertrain Division) in Regensburg

2007–2008
:   Development engineer at Siemens VDO Automotive AG in Regensburg

2006–2007
:   Development Engineer at Siemens AG (Siemens VDO Division) in Regensburg

2004–2006
:   Development Engineer at Siemens VDO Automotive AG (Advanced Development Gasoline Systems, Powertrain Division) in Regensburg

2000–2004
:   Research assistant at the University of Regensburg

## Education

2000–2004
:   Doctorate (Dr rer. nat.) at the Institute for Theoretical Physics at the University of Regensburg\
    Topic: "Theory of spin relaxation and intersubband absorption in semiconductor quantum structures"

1995–2000
:   Studied physics (Dipl. Phys.) at the University of Regensburg\
    Diploma thesis at the Institute of Theoretical Physics with the topic: "Quantum dots in a high magnetic field - application of a new method for solving the N-particle problem"

2001
:   WITRON training award

## Development and research activities in the industry

:   Development of a diagnostic procedure for recognising the cause of combustion misfires occurring during engine operation
:   Development of various adaptation methods to compensate for tolerances
:   Development of a neural network optimised for use on control units
:   Concept design and industrialisation of a process for air path modelling and control of an engine with variable intake valve lift (successful start of series production in 2012)
:   Development of a runtime-optimised engine process simulation tool

## Professional Experience

Engine management
:   - Comprehensive overview of motor control architecture
    - Air path modelling (intake manifold model)
    - Adaptation process for tolerance compensation (e.g. on throttle valve, injection, valve lift)
    - Carrying out and analysing measurements (vehicle, engine test bench, emission tests)
    - Data analysis and simulation with Matlab/Simulink
    - Development of control unit functions

Simulation
:   - 1D flow simulation, material data modelling
    - Modelling of combustion and heat transfer
    - Thermodynamic loss analysis

Modelling methods
:   - Characteristic maps, polynomials, neural networks
    - Optimisation (regression, non-linear optimisation)
    - Adaptation methods
    - Diagnostic methods (model-based diagnostics, threshold monitoring)