AI Advances and Applications Virtual Seminar – Dr. Dimitri Bourilkov

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AI Advances and Applications Virtual Seminar – Dr. Dimitri Bourilkov

December 1, 2020 @ 12:00 pm - 1:30 pm

AI Advances and Applications Virtual Seminar Series

“Machine and Deep Learning Applications in Particle Physics” by Dr. Dimitri Bourilkov

Associate Scientist in the Department of Physics

Tuesday, December 1, 2020 (Please note that this is a different weekday than prior AI talks)


Key ways in which machine and deep learning are transforming the analysis and simulation of data in particle physics are introduced. Cutting-edge examples based on boosted decision trees and various types of neural networks, and the challenges in their applications, are highlighted. After describing these novel analysis techniques, the talk will touch on the interactions between physics and machine learning as a two-way street enriching both disciplines and helping to meet the present and future challenges of data-intensive science at the high energy and intensity frontiers. 


Dr. Dimitri Bourilkov was born in Sofia, Bulgaria, where he obtained his PhD in particle physics at the Institute for Nuclear Research and Nuclear Energy. He has conducted research at the largest accelerators in the world with the BIS-2experiment at Serpukhov, Russia, and the L3 and CMS experiments at LEP and LHC in Geneva, Switzerland. After starting his career in Sofia, Dr. Bourilkov has worked at the Joint Institute for Nuclear Research in Dubna, Russia, at the Radboud University in Nijmegen, the Netherlands, at ETH Zurich, Switzerland, and is now a Scientist in CMS with the University of Florida, Gainesville. Besides particle physics, in recent years he has taken keen interest in machine learning and its applications in research computing. Dr. Bourilkov is a recipient of a Internet2 IDEA award in 2007 for developing the next generation of network-aware grids.

Tuesday, December 1, 2020

12:00PM – 1:00PM

Via Zoom

RSVP below. Instructions to attend talk via Zoom will be emailed to you.


December 1, 2020
12:00 pm - 1:30 pm
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