14 April 2023
Symmetry Webinar | Machine Learning Enhanced Multi-Messenger Probes for New Physics and Cosmology, 18 May 2023

This webinar aims to explore the fundamental relationship between cosmology and particle physics. It will offer some examples of approaches to solve the open problems of fundamental physics with a special emphasis on the involvement of machine learning in physical, astrophysical and cosmological studies. We would like to attract and involve interested participants in the thorough discussion of what comes beyond the standard models, such as the exciting topics of research paving the way in fundamental science. The fruitful results of such discussions can be considered for publication in the Symmetry (ISSN: 2073-8994) Special Issue “Symmetry beyond the Standard Models of Cosmology, High Energy Physics and Quantum Field Theory”.

Date: 18 May 2023, 10:00 a.m. CEST

Register now for free!

Webinar Chair and Keynote Speakers:

  • Prof. Dr. Maxim Khlopov, 1. Director of Virtual Institute of Astroparticle physics, Paris, France; 2. National Research Nuclear University MEPhI, President of Center for Cosmoparticle Physics Cosmion, Main Researcher of Research Institute of Physics of Southern Federal University, Russia
  • Prof. Dr. Antonino Marciano, 1. Department of Physics, Fudan University, 200437 Shanghai, China; 2. INFN—Frascati Laboratories, 00044 Frascati RM, Italy
  • Dr. Roman Pasechnik, Department of Physics, University of Lund, Lund, Scania, Sweden



Time in CEST


Prof. Dr. Maxim Yu. Khlopov
Chair Introduction


10:00–10:10 a.m.


Prof. Dr. Antonino Marciano
Novel Algorithms for Machine Learning from Topological Quantum Physics


10:10–10:50 a.m.


Dr. Roman Pasechnik
Glueball Dark Matter


10:50–11:30 a.m.


 Q&A Session


11:30–11:55 a.m.


Prof. Dr. Maxim Yu. Khlopov
Closing of Webinar


11:55–12:00 a.m.


 Relevant Special Issue:
Symmetry beyond the Standard Models of Cosmology, High Energy Physics and Quantum Field Theory
Guest Editors:
Prof. Dr. Maxim Yu. Khlopov and Prof. Dr. Vitaly Beylin
Deadline for manuscript submissions: 30 June 2023

This is a free webinar. After registering, you will receive a confirmation email containing information on how to join the webinar. Registrations with academic institutional email addresses will be prioritized. Certificates of attendance will be delivered to those who attend the live webinar.

Unable to attend? Register anyway and we will let you know when the recording is available to watch.

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