PD Dr.-Ing. habil. Alexandru Condurache
Guest Lecturer at the University of Luebeck
Engineering AI
Robert Bosch GmbH
Postfach 10 60 50
70049 Stuttgart
Email: | alexandru.condurache(at)uni-luebeck.de |
Phone: | +49 451 3101 5500 |
Fax: | +49 451 3101 5504 |
Short Biography
Alexandru Paul Condurache received the Dipl.-Ing. degree in electrical engineering from the Politehnica University of Bucharest, Romania in 2000, being awarded the Werner von Siemens Excellence Award for his diploma thesis. He obtained the Diploma of Advanced Studies in biomedical engineering also from the Politehnica University of Bucharest, Romania, in 2001. In 2007 he received the Dr.-Ing. degree in computer science from the University of Luebeck, Germany under the supervision of Prof. Til Aach. In 2014 he habiltated in computer science at the University of Luebeck.
Between 2002 and 2013, he was with the Institute for Signal Processing, University of Luebeck, as a Research Associate, where besides teaching duties, he was in charge of several cooperation projects in the fields of medical and industrial machine vision, including besides academia, both clinical and industry partners. Until 2007 he was a doctoral student, specializing in medical image analysis. Afterwards he conducted his postdoctoral research in information forensics (biometric authentication, surveillance and event detection) and discriminant feature analysis. He was member of the international program committee and chaired sessions at various conferences. He contributed as reviewer to journals in the fields of: image and signal processing and pattern recognition. He is now with Robert Bosch GmbH.
Teaching
- Perception for Autonomous Vehicles (WS2019/2020 - )
- Selected Topics of Signal Analysis and Enhancement (SS2010 - SS2013)
Research Interests & Projects
- Autonomous Driving
- Biometric Authentication
- Surveillance and Event Detection (see Event Detection for AAL)
- Feature Space and Discriminant Analysis (see Multiclass Gaussianization)
- Medical Image Analysis (see VesSeg)
- Computer Vision Applications in Biomedical Engineering (see Enhanced Cathlab, ValveQC)
- Automated Visual Inspection and Computer Assisted Quality Control (see INVEX, OPTCLASS)
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