Dieter Schramm

Chair Holder Professor

Universität Duisburg-Essen

Germany

Research Interests

Explore related searches

Professors in Germany

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

Articles (12)

Year:

2024

Year:

2024

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Collaborators (4)

Magnus Liebherr

Universität Duisburg-Essen

GERMANY

View details

Thomas Weber

Visiting Lecturer

Universität Duisburg-Essen

GERMANY

View details

Eva Gößwein

Universität Duisburg-Essen

GERMANY

View details

ould el Moctar

Professor

Universität Duisburg-Essen

GERMANY

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Dieter Schramm

Research Interests

Explore related searches

Contact this professor

Articles (12)

Simulation-Based Investigation of On-Demand Vehicle Deployment for Night Bus Routes Using the Monte Carlo Method

Enhancing the Coupling of Real-Virtual Prototypes: A Method for Latency Compensation

Influences of Personal Driving Styles and Experienced System Characteristics on Driving Style Preferences in Automated Driving

Use Cases and Methods of Virtual ADAS/ADS Calibration in Simulation

From Modeling to Optimizing Sustainable Public Transport: A New Methodological Approach

Improvements on the Dynamical Behavior of a HiL-Steering System Test Bench

Fatigue Life Modelling of Steel Suspension Coil Springs Based on Wavelet Vibration Features Using Neuro-Fuzzy Methods

Fatigue Life Modelling of Steel Suspension Coil Springs Based on Wavelet Vibration Features Using Neuro-Fuzzy Methods

Virtual Commissioning of Distributed Systems in the Industrial Internet of Things

Virtual Commissioning of Distributed Systems in the Industrial Internet of Things

Turbulence Modeling for Physics-Informed Neural Networks: Comparison of Different RANS Models for the Backward-Facing Step Flow

Turbulence Modeling for Physics-Informed Neural Networks: Comparison of Different RANS Models for the Backward-Facing Step Flow

Collaborators (4)

Magnus Liebherr

Thomas Weber

Eva Gößwein

ould el Moctar

Make your next move.