FB 16 Electrical Engineering/Computer Science

The department in figures

26 specialist areas
323 employees
1650 students
9 study programs

Welcome to the Department of Electrical Engineering/Computer Science

We respond to rapid technological change and the globalization of markets with high-performance research and teaching and interdisciplinary collaboration, maintaining close contact with partners from industry. In 26 subject areas, we offer extensive opportunities for career changers, a special program for international students and a range of courses that is unique in Germany.

 

More about the profile of the department

Study programs at FB 16

Latest news

04/19/2021 | Intelligent embedded systems

Multiple articles accepted for publication (MACH, IJCNN, SAIAD@CVPR)

Multiple articles with (co-)authored from members of the group have been accepted for publication.

Journal: Machine Learning (MACH)

  • Authors: Daniel Kottke, Marek Herde, Christoph Sandrock, Denis Huseljic, Georg Krempl, Bernhard Sick
  • Title: Toward Optimal Probabilistic Active Learning Using a Bayesian Approach

Conference: International Joint Conference on Neural Network 2021 (IJCNN 2021)

  • Authors: Yujiang He, Zhixin Huang, Bernhard Sick
  • Title: Toward Application of Continuous Power Forecasts in a Regional Flexibility Market

Workshop: Safe Artificial Intelligence for Automated Driving (SAIAD@CVPR 2021)

  • Authors: Felix Möller, Diego Botache, Denis Huseljic Florian Heidecker, Maarten Bieshaar, Bernhard Sick
  • Title: Out-of-distribution Detection and Generation using Soft Brownian Offset Sampling and Autoencoders

 

 

Dates

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04/19/2021 | Intelligent embedded systems

Multiple articles accepted for publication (MACH, IJCNN, SAIAD@CVPR)

Multiple articles with (co-)authored from members of the group have been accepted for publication.

Journal: Machine Learning (MACH)

  • Authors: Daniel Kottke, Marek Herde, Christoph Sandrock, Denis Huseljic, Georg Krempl, Bernhard Sick
  • Title: Toward Optimal Probabilistic Active Learning Using a Bayesian Approach

Conference: International Joint Conference on Neural Network 2021 (IJCNN 2021)

  • Authors: Yujiang He, Zhixin Huang, Bernhard Sick
  • Title: Toward Application of Continuous Power Forecasts in a Regional Flexibility Market

Workshop: Safe Artificial Intelligence for Automated Driving (SAIAD@CVPR 2021)

  • Authors: Felix Möller, Diego Botache, Denis Huseljic Florian Heidecker, Maarten Bieshaar, Bernhard Sick
  • Title: Out-of-distribution Detection and Generation using Soft Brownian Offset Sampling and Autoencoders

 

 

Our fields of research:

  • Networked energy systems
  • Vehicle Systems Engineering/Mobile Energy Systems
  • Electrical engineering and photonics
  • Communication and high-frequency technology
  • System Analytics and Control
  • Theoretical Computer Science
  • Software Engineering
  • Operating, communication and information systems
  • Computer architectures and embedded systems

Our fields of research:: Read More

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