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2022 IEEE European School of Information Theory

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]


The 2022 School

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.


Call for Participation (CfP)

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


Latest Covid Information

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:



The registration platform will open on Feb. 14 here:

We offer reduced registration fees for IEEE members and especially for IEEE ITSoc members; see our registration platform for more details.

  • Early bird registration (reduced fee) is available until March 31st.
  • The regular registration rate is available between April 1st and May 31st.
  • Late registration (increased fee) is possible until June 19th. 

Payment is supported via credit-card (Visa, Mastercard). In case you require a different payment option, please contact the school organizers [email protected].

Please notice that an accommodation is not included in our registration. Please visit (our your favorite online booking platform) to book an accommodation. 



All prices are in Euros. 

  Early (until March 31) Regular (until May 31) Late (until June 19)
ITSoc (student) member 90 100 125
IEEE (student) member 100 110 135
Non-member 130 140 165


In case the school has to take place virtually, due to an unexpected worsening of the pandemic situation, we will refund already paid registration fees free of charges and only request a minor virtual attendance fee of 10€


Invitation Letters

In case you require an invitation letter, please first register for the school

As soon as you are registered, please get in touch with us via [email protected] and send us the following information:

  • Letter of your scholarly supervisor, supporting your participation in ESIT, with stamp of your university.  
  • Copy of your passport.
  • Copy of your student ID.



Program Schedule

The detailed schedule of the school is provided here:


Plenary Tutorial Lectures

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


Online Tutorial Lectures

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


Poster Sessions

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


Social Events

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:

Associate Prof. Stefan Schwarz

Asst. Prof. Stefan Schwarz

Institute of Telecommunications, TU Wien

Dr. Georg Pichler

Dr. Georg Pichler

Institute of Telecommunications, TU Wien

Prof. Norbert Görtz

Prof. Norbert Görtz

Institute of Telecommunications, TU Wien


TU Wien - Main Building Front Entrance