Tobias Oechtering

Tobias Oechtering 

Professor
Divison of Information Science and Engineering
School of Electrical Engineering and Computer Science
KTH Royal Institute of Technology

also affiliated with SRA ICT-TNG

Director of KTH Digitalization Platform

E-mail: oech(at)kth(dot)se

News

PhD student position: For our recently granted VR project, we are looking for a PhD student who has a strong math background and is interested in doing very fundamental research in the area of information theory with application in distributed decision-making setups as they appear in networked control problems. The official call can be found here, deadline Oct, 7th ! I expect that we will explore coding theorems, measure-theory, and bounding techniques from theoretical statistics. We will build on our recently published ISIT paper (link to arXiv preprint). The project collaborator Mael Le Treust will act as co-supervisor.

Master thesis projects: I am currently looking for qualified master students from KTH that would like to do a master thesis project with me in one of the following three areas: (i) privacy-preserving data disclosure; (ii) automated sensor calibration using machine learning; (iii) polar code design for biometric identification systems. All projects are part of larger research activities. Please contact me if you are interested and have the right background.

More (latest) news are posted on my twitter account.

  • Workshop Security for Industry: On May 26, 2021, KTH Digitalisation and Industrial Transformation research platforms organize workshop “Security for Industry - How to avoid a Cyber Attack.” More information and registration can be found here link.

  • VR project grant: The Swedish Research council has granted our exciting project proposal “Fundamental bounds for Distributed Decision-making,” with collaborator Mael Le Treust, CNRS researcher as co-PI, starting 2021 where we will re-visit the Witsenhausen problem with a fresh approach. Our initial results building on our initial works such as ITW 2019 paper already reveal interesting insights.

  • Workshop AI for Life Science: On Oct 14, 2020, KTH Digitalisation and Life Science research platforms organize workshop “AI for Life Science.” More information and registration can be found here link.

  • Giulia joint faculty at Univ. Lille: Our former post-doc Giulia Cervia became Assistant Professor at IMT Lille Douai in Sept 2020.

  • Workshop Digitalization for Urban Sustainability: On Sept 10, KTH Digitalisation research platform was co-organizer of the workshop “Digitalization for Urban Sustainability.” More information and registration can be found here link.

  • Zuxing joint faculty at Tongji Univ: My former PhD student Zuxing Li became Assistant Professor at Tongji University in June 2020.

  • KTH Digitalization Platform: Since Feb 2019, I am the director of the KTH Digitalisation research platform.

  • Project ULISSES: Jan 2019, EU project ULISSES started where we are developing innovative sensor calibration algorithms based on statistical inference and learning.

  • EECS Strategic Council: In April 2018, I have been elected as teacher representative to the school's strategic council.

  • Project STOMP: In Nov 2016, the Swedish Energy Agency has granted our project proposal “STOMP - Energy STOrage for smart Meter Privacy.” I am looking forward to investigate with my colleague D. Mansson and our newly recruited PhD students how we can ensure privacy in future smart grids.

  • VR project grant: In Nov 2016, I got informed that my project proposal on distributed source coding with security and privacy submitted to the Swedish Research Council (VR) has been granted. Soon, I am going to look for a new PhD student to work with me on this exciting project.



This homepage has been initially set up in autumn 2016, is irregularly maintained by Tobias Oechtering, and contains only personal information and views.