AndreasBackhaus

Education

Ph.D. in Computational Neuroscience

2003 - 2007 School of Psychology, University of Birmingham, United Kingdom

Ph.D. on computational modelling of visual attention and simulation of asymmetries, similarity and top-down effects in visual search.

Graduate-Engineer with Distinction in Computer Science for Engineering Applications

1998 - 2003 Technical University of Ilmenau, Ilmenau, Germany

Combined study of computer science and electrical engineering. Specialization on intelligent systems including Artificial Neural Networks, image processing and automation in technical systems.

Experience

Freelance Perception AI Specialist

2021 - Current Ingenieurbüro Dr Andreas Backhaus, Magdeburg, Germany

Freelance developer of Perception AI solutions. Design and implementation of the complete development chain of soft-sensors from systematic data acquisition to neural network model development and training as well as subsequent deployment in technical systems and services.

Perception AI Specialist

2022 - Current Compolytics GmbH, Barleben, Germany

Development of application specific AI components for optical sensor systems. Implementation and deployment of AI driven sensor solutions. On-Demand Corporate Research and Development.

Chief Scientist / Deputy Head of Division

2009 - 2021 Fraunhofer Institute for Factory Operation and Automation IFF, Magdeburg, Germany

Department of Biosystems Engineering: Soft-sensor and Perception AI systems for applications like precision farming, plant phenotyping, cosmetic / hair care and consumer electronics. Project manager and machine learning engineer in public and industrial research and development.

Postdoctoral Research Fellow (Marie-Curie)

2007 - 2009 School of Biosciences, University of Sheffield, United Kingdom

Department of Animal and Plant Science: Design and development of imaging systems for high-throughput phenotyping of plant material.

Student Assistant

2002 Neuroinformatics and Cognitive Robotics Lab, TU Ilmenau, Germany

Implementation of a method for real-time facial detection. Research and creation of teaching material in the subject "Human-Machine Communication".

Working student

2000 and 2001 Siemens AG, Department of Corporate Technology

Development of complex recurrent neural networks for time-series analysis of industrial plant data.