PD Dr.-Ing. habil. Alexandru Condurache

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 Lübeck, as a Research Associate, where besides teaching duties, he oversaw 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 (unsupervised representation learning and classifier design).

He is now with Robert Bosch GmbH and since 2019 Guest Lecturer at the University of Lübeck, engaged in teaching and leading a research group on efficient machine learning for robotics, with a particular focus on Autonomous Driving and Driver Assistance Systems. His research interests include improving generalization under constraints such as limited labeling effort, scarce data availability and restricted model capacity, as well as resource-efficient training and inference.

Teaching

• Perception and Planning for Autonomous Vehicles (WS2019/2020 - )
• Selected Topics of Signal Analysis and Enhancement (SS2010 - SS2013)

Research Interests & Projects

• Autonomous Driving and Driver Assistance
• 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)

GOOGLE SCHOLAR