12-23 October 2020
GMT timezone
*** Registrations are now open ***

22nd IEEE Real Time Conference

Virtual Conference

The new date for the conference is October 12-23, 2020

The organizers are excited to present the Real Time 2020 in a completely virtual form to our attendees. This will not only ensure the safety of everyone, but also offers new opportunities like a completely new form of poster sessions, and a drastic reduction of registrations fees, especially for low income countries.

Like the previous editions, RT2020 will be a multidisciplinary conference devoted to the latest developments on real time techniques in the fields of plasma and nuclear fusion, particle physics, nuclear physics and astrophysics, space science, accelerators, medical physics, nuclear power instrumentation and other radiation instrumentation.

For this year RT2020, we are excited to include a new topic for the scientific program - Real Time applications in Machine Learning and Deep Learning. We know this is an active area of research in many disciplines, and we encourage those in the community engaged in such study to submit an abstract for this conference.

The conference will provide an opportunity for scientists, engineers, and students from all over the world to share the latest research and developments.  This event also attracts relevant industries, integrating a broad spectrum of computing applications and technology.


Registrations are now open.

Click here to register


The call for abstracts is open
You can submit an abstract for reviewing.









In order to register for the conference, you have to log in to the CERN Indico system by clicking on "Registration" or "Submit abstract" on the left side menu. You will then be directed to the login page. There are four options to log in:

If you have already a CERN account, you can use it.

If your home organization participates in the eduGAIN network (there are already 400+ universities and institutions who do), you can sign in with your organization or institution account after you have selected your organization in the eduGAIN dialog box.

If you have a public service account such as Facebook, Google, Windows Live or Yahoo, you can use that account to log in.

If none of the above works (and only then), you can create a Lightweight CERN account on the CERN Account Management page. Be sure to remember the username and password, since you will need that account to submit any abstract, slides or proceedings.

If you somehow have trouble creating a CERN lightweight account or using your public service account for Indico access, please restart your browser. If that does not help, try to delete cookies, then empty the browser cache.

Registration for this event is currently open.