The IEEE European School of Information Theory (ESIT) is an annual educational event, organized by the IEEE Information Theory Society (ITSoc), for graduate students, postdocs and researchers from institutes throughout Europe and beyond. The objective of the school is to provide participants with the opportunity (i) to learn from distinguished lecturers by attending long-format tutorials, (ii) to present their own work to obtain feedback and to start up collaborations, (iii) to hear about applications of information theory in industry, and (iv) to participate in a stimulating and inviting forum of scientists.

Contact: [email protected]

In 2022, we plan to bring the school back to an on-site format at Technical University (TU) Wien in Vienna, Austria, to fully embrace the community experience through on-site plenary talks, online lectures with live Q&A sessions, and interactive attendee poster sessions, complemented by social events. 

School dates: The school starts on Monday, July 4th, after lunch and ends on Thursday, July 7th, afternoons. 

School location: The school takes place in Vienna, Austria's capital city with approximately 1.9 million inhabitants, famous for its rich culture, imperial sights, palaces, museums, theaters and opera houses, as well as, its cozy wine taverns and coffee houses.

School venue: The school is hosted by Technical University (TU) Wien, Austria's largest technical university teaching approximately thirty thousand students. The school will take place in Campus C - Gusshaus of TU Wien.

Currently, no Covid restrictions apply in Austria and therefore the school will take place on-site.

The CfP of the school can be downloaded here: ESIT22_CfP.pdf

Currently, arrival to Austria is possible without requiring a "3G-test". FFP2 masks are generally not required, with the exception of public transport and pharmacies in Vienna. The latest information is available here:

https://www.austria.info/en/service-and-facts/coronavirus-information

The detailed schedule of the school is provided here: https://www.conftool.com/esit2022/sessions.php

We will host five on-site plenary tutorial lectures:

Lossy Compression of General Random Variables, E. Riegler

Flexible Learning using Hidden Markov Models, E. Gassiat 

Lattice-Reduction-Aided and Integer-Forcing Equalization for MIMO Communications, R. Fischer

Robust, Secure and Private Cache-aided Linear Function Retrieval, D. Tuninetti

Trustworthy Machine Learning, Uncertainty and Information, P. Piantanida

More details to the tutorials can be found here: Plenary Tutorials.pdf

We will also host two online lectures with live Q&A sessions:

Black-box Optimization in Theory and in Practice, T. Javidi

Reconfigurable Intelligent Surfaces for Wireless Communications, M. di Renzo

More details to these tutorials can be found here: Online Tutorials.pdf

We will organize a poster session, including elevator pitches, in which attendees have the opportunity to discuss their research work with our distinguished lecturers.

We will provide plenty of opportunities for social get-together between school participants, speakers and organizers.

• Welcome reception on July 4th evenings
• Coffee and lunch breaks
• Vienna sightseeing and dinner at a traditional wine tavern

TU Wien is located in the heart of Vienna. It can be conveniently reached by underground train. The underground station closest to the school venue Campus C - Gusshaus is U1 Taubstummengasse or alternatively underground station Karlsplatz reachable by lines U1 and U4.

Vienna can easily be reached by:

• Plane via Vienna International Airport and trains of ÖBB or CAT
• Train via railroad station Wien Hauptbahnhof
• Bus, e.g., FlixBus