Scholar
Erwin Quiring
Google Scholar ID: yR0cDFoAAAAJ
Ruhr University Bochum
Citations & Impact
Citations
1,242
H-index
11
i10-index
12
Publications
20
Co-authors
9
list available
Publications
Resume (English only)
Academic Achievements
- Received Best Paper Award at IEEE Deep Learning Security and Privacy Workshop (DLSP), Dissertation Award, AI Talent of Lower Saxony, Germany, 2022, Distinguished Paper Award at USENIX Security Symposium 2022, among others; member of program committees or reviewer for multiple international conferences.
Research Experience
- Postdoctoral researcher in the field of trustworthy AI, working at Ruhr University Bochum and ICSI (affiliated with UC Berkeley).
Education
- PhD (with distinction) in Computer Science from Technische Universität Braunschweig, Germany; MSc (with distinction) in Computer Science from Universität Münster, Germany; BSc (Best graduate) in Information Systems from Universität Münster, Germany.
Background
- Senior Consultant and AI Research Scientist, specializing in reliable, efficient, and secure AI systems. Prior to joining _fbeta, worked as a postdoctoral researcher in the area of trustworthy AI at Ruhr University Bochum and ICSI, an affiliated institute of the University of California (UC Berkeley).
Miscellany
- Interests include AI and Machine Learning, Security, Reliability, and Efficiency of AI, and Trustworthy AI.
