Dr. László Gyarmati

Senior Software Engineer
Distributed Systems
+974 445 47364

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It is a unique opportunity to build a world-class sport analytics group in a county that has a huge commitment to sports.

Research Focus at QCRI

Laszlo is focusing on sport analytics, i.e., quantitative analysis of sports. In particular, he is interested in designing novel methods to analyze football players, teams, and clubs.

Previous Experience

Prior to QCRI, Laszlo was an Associate Researcher at Telefonica Research in Barcelona, Spain where he was leading a joint research project with F.C. Barcelona on football analytics. Before that, he carried out research in areas such as network economics, game theoretic analysis of communication networks, online price discrimination, and online social networks.

Professional Experience

  • Associate Researcher at Telefonica Research, Barcelona, Spain 2011 – 2014

Professional Associations and Awards


Education

  • PhD in Computer Science, Budapest University of Technology and Economics, 2011
  • MSc in Biomedical Engineering, Budapest University of Technology and Economics, 2010
  • MSc in Computer Science, Budapest University of Technology and Economics, 2008

Selected Research

  • L. Gyarmati, H. Kwak, P. Rodriguez: Searching for a Unique Style in Soccer, in Proc. 2014 KDD Workshop on Large-Scale Sports Analytics, 2014, http://www.large-scale-sports-analytics.org/Large-Scale-Sports-Analytics/Submissions_files/paperID5.pdf
  • L. Gyarmati, N. Laoutaris, K. Sdrolias, P. Rodriguez, C. Courcoubetis: From advertising profits to bandwidth prices-A quantitative methodology for negotiating premium peering, arXiv preprint:1404.4208, 2014, http://arxiv.org/pdf/1404.4208.pdf
  • J. Mikians, L. Gyarmati, V. Erramilli, N. Laoutaris: Detecting price and search discrimination on the Internet, in Proc. of ACM HotNets’12, Redmond, USA, 2012, http://conferences.sigcomm.org/hotnets/2012/papers/hotnets12-final94.pdf
  • L. Gyarmati, R. Stanojevic, M. Sirivianos, N. Laoutaris, Sharing the Cost of Backbone Networks: Cui Bono?, in Proc. of ACM IMC’12, Boston, USA, 2012, http://www-net.cs.umass.edu/imc2012/papers/p509.pdf
  • L. Gyarmati, T.A. Trinh: Scafida: A Scale-Free Network Inspired Data Center Architecture, ACM SIGCOMM Computer Communication Review, vol. 40, num. 5, pp. 5–12, 2010, http://ccr.sigcomm.org/online/files/p5-2v40n5b2-gyarmatiPS.pdf
  • L. Gyarmati, T.A. Trinh: Measuring User Behavior in Online Social Networks, IEEE Network, Special Issue on Online Social Networks, vol. 24, num. 5, pp. 26–31, 2010, http://dx.doi.org/10.1109/MNET.2010.5578915

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In the Media

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Can AI Put An End To Fake News? Don't Be So Sure

07/10/2018

Fake news was the Collin’s word of the year for 2017 with good reason. In a year where politics-as-usual was torn apart at the seams, high-profile scandals rocked our faith in humanity and the ...

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MIT/QCRI system uses machine learning to build road maps

22/04/2018

Map apps may have changed our world, but they still haven’t mapped all of it yet. Specifically, mapping roads can be difficult and tedious: even after taking aerial images, companies still have to ...

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Improving disaster response efforts through data

08/02/2018

Extreme weather events put the most vulnerable communities at high risk. How can data analytics strengthen early warning systems and and support relief efforts for communities in need? The size and ...

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Upcoming Events

2019

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(MLDAS 2019) Machine Learning and Data Analytics Symposium

Download ICS File 01/04/2019  - 02/04/2019 ,

Machine Learning and Data Analytics Symposium - MLDAS 2019 Building on the success of the three previous events , Boeing and QCRI will hold the fifth Machine Learning and Data Analytics Symposium (...

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Past Events

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"Learning to See" Public talk by Professor Antonio Torralba (MIT-CSAIL)

Download ICS File 25/03/2019 ,

Visit by Antonio Torralba, who teaches machines to automate tasks that a human visual system can accomplish, is part of annual spring research update between QCRI and MIT-CSAIL.

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QCRI - MIT CSAIL 2019 Annual Project Review

Download ICS File 25/03/2019 ,

Executive Overview Sessions Open to publi Date: March 25, 2019 Time: 10:15AM - 5:15PM Venue: Hamad Bin Khalia Reseach Complex Multipurpose Room To view agenda, please click here . To RSVP to this ...

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News Releases

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QCRI and iMMAP announce Memorandum of Understanding

03/03/2019

Pact aims to apply data analysis and artificial intelligence techniques to solve humanitarian problems.

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UNDP partners with QCRI to use AI for social good

11/02/2019

Qatar forum on leveraging AI to solve humanitarian problems fills to capacity.

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Renowned computing expert C. Mohan to bust blockchain myths in Qatar talk

22/01/2019

Well-known inventor of database recovery algorithms to deliver keynote at QCRI's first blockchain workshop.

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