Scholar
Tobias J. Oechtering
Google Scholar ID: lZIYYcEAAAAJ
KTH Royal Institute of Technology, Division Information Science and Engineering
Citations & Impact
Citations
1,087
H-index
17
i10-index
34
Publications
20
Co-authors
28
list available
Publications
Resume (English only)
Academic Achievements
- - Paper published: 'Empirical PML estimation' to be presented at IEEE CSF 2026
- - Supervised PhD student Leonhard Grosse to complete his Licentiate thesis 'Mechanisms and Methods in the Pointwise Maximal Leakage Framework'
- - Former PhD student Yang You became Associate Professor at Ocean University of China
- - Received funding from the Swedish Research Council for continued research on pointwise maximal leakage
- - Published interdisciplinary paper 'Calculated Privacy' bridging legal principles and mathematical concepts
- - Organized multiple workshops such as 'Trustworthy Learning' and 'High performance computing at KTH'
Research Experience
- - Director of KTH Digitalisation platforms (2019-2024)
- - Research areas: privacy mechanisms, design of data-driven sensor calibration algorithms, design of trustworthy digital twins for energy management or predictive maintenance.
Background
- Professor, Division of Information Science and Engineering, School of Electrical Engineering and Computer Science, KTH Royal Institute of Technology. Digital Futures fellow, also affiliated with SRA ICT-TNG.
Miscellany
- Looking for qualified master students from KTH interested in thesis projects related to privacy mechanisms, data-driven sensor calibration algorithm design, and trustworthy digital twin design for energy management or predictive maintenance.
