Curriculum Vitae

Personal information

ORCID: 0000-0002-6528-3449
Researcher ID: I-8789-2012

Highlights
Chair of General Assembly for ESCAPE (Proposal ID SEP-210506816)
Head of Data Science Office at European Gravitational Observatory, Pisa
Associate Faculty at Scuola Normale Superiore, Pisa
Co-chair of Machine Learning group for LIGO and Virgo Collaboration
Main Proposer and Action Chair of COST ACTION CA17137 (G2Net)
Responsible of Foundation for Competence for Software and Service Innovation (COSSI) task for Project ESCAPE Proposal ID SEP-210506816
Impact (as of February 2019): Google Scholar H-index 73, i10-index: 218

Education
1998 Physics Faculty, University of Pisa, Pisa, Italy, PhD in Physics
1993 Physics Faculty, University of Pisa, Pisa, Italy, Master Degree in Physics

Current Positions
2018 – Scuola Normale Superiore, Pisa, Italy, Associate Faculty
2018 – European Gravitational Observatory, Pisa, Italy, Head of Data Science Office
Previous Positions
2016 Astronomy and Astrophysics department, University of Valencia, ES, Short term visiting scientist
2016 Physics and Astronomy, University of Glasgow, UK, Short term visiting scientist
2014 Physics and Astronomy, University of Glasgow, UK, SUPA Distinguished visiting scientist
2004 – 2018 European Gravitational Observatory, Pisa, Italy, Applied Physicist
2001 – 2004 Istituto di Fisica Nucleare, Firenze, Italy, Fixed term researcher

FELLOWSHIPS AND AWARDS
2016 SPECIAL BREAKTHROUGH PRIZE IN FUNDAMENTAL PHYSICS
1999 – 2001 Osservatorio Astronomico di Arcetri, Firenze, Italy, PostDoc Fellow

SUPERVISION OF GRADUATE STUDENTS AND POSTDOCTORAL FELLOWS
2018 – Alberto Iess, PhD, Department of Physics, University of Roma Tor Vergata,
2017 – 2018 Alejandro Torres-Fornè, Post-Doc, Department of Astronomy and Astrophysics, University of Valencia, EGO fellowship
2016 – 2017 Alejandro Torres-Fornè, PhD, Department of Astronomy and Astrophysics, University of Valencia
2005-2009 Marina Del Prete, PhD, University of Siena
2001-2018 Tutor of several internship students

TEACHING ACTIVITIES
2018 Lectures at Computer Science Department, Bari University, Italy
2018 Lectures at Data Science Ph.D Colloquium, Pisa University, Italy
2018 Lectures at Physics Department, Università di Tor Vergata, Roma, Italy
2011 VESF School, EGO, Italy, Lecturer
2010 VESF School, EGO, Italy, Lecturer

ORGANISATION OF SCIENTIFIC MEETINGS
2019 1st Conference on Machine Learning for Gravitational Waves, Geophysics, Robotics and Control System, January 14th-16th 2019 (chair)
2018 Computational Challenges in Gravitational Wave Astronomy, Institute for Pure and Applied Mathematics, UCLA January 28 – February 1, 2019 (SOC member)
2018 XXIII SIGRAV Conference-Black holes: Theory and observations (SOC member)
2018 Machine Learning workshop at EGO/ 30 participants /Italy (organizer)
2018 Machine Learning face to face for LIGO Virgo Collaboration / 60 participants / USA (organizer)
2017 Machine Learning face to face for LIGO Virgo Collaboration / 60 participants / CERN (organizer)
2016 XXII SIGRAV Conference – A Century of General Relativity. In the era of Gravitational Waves. Cefalù, Italy (SOC member)
2016 5th GraWIToN school /30 participants /Roma La Sapienza, Italy (SOC member)
2015 First GraWIToN Data Analysis school / 30 participants / GSSI, Italy (SOC chair)
2015 Workshop on Electromagnetic follow-up program, EGO (LOC member)
2015 First GraWIToN Basic school/ 30 participants / EGO, Italy (SOC chair)
2012 Theory and application of signal processing methods (in GW detection, medical science and engineering) / 60 participants / EGO, Italy

INSTITUTIONAL RESPONSIBILITIES
2019- Chair of General Assembly for ESCAPE EU project
2018- Cost Action CA17137 Action Chair
2014-2018 GraWIToN Fp7-Marie Curie Actions.ID 606176 Scientific coordinator
2015 European Gravitational Observatory, Italy, Outreach coordinator
2010 European Gravitational Observatory, Italy, Outreach coordinator
2005 – 2007 European Gravitational Observatory, Italy, Seminar organizer

REVIEWING ACTIVITIES
2014 – 2018 Scientific Advisory Board, GraWIToN FP7 Project ID: 606176
2017 EGO PostDoc fellowship program, Italy, Member of selection committee
2017 Department of Astronomy and Astrophysics, University of Valencia, ES, PhD Committee member
2017 Department of Astronomy and Astrophysics, University of Valencia, ES, PhD Committee substitute chair

MEMBERSHIPS OF SCIENTIFIC SOCIETIES
2015 – 2018 Member of Board of Directors of SIGRAV (Società Italiana di Relatività Generale e Fisica della Gravitazione)

MAJOR COLLABORATIONS
 Machine Learning for Gravitational Wave (GW) search, Prof. I.K.Siong Heng, Department of Physics and Astronomy, Glasgow University, UK
 Core Collapse Supernovae and Machine Learning, Dr. Jade Powell, OzGrav, Swinburne University of Technology, Australia
 GW transient signal search Prof. Marco Cavaglià, Department of Physics and Astronomy, University of Mississipi, USA
 Machine Learning, Prof. Szabolcs Márka, Columbia University, New York, USA
 Numerical Simulations of Core Collapse Supernovae, Prof. Antonio-Josè Font, Prof. Antonio Marquina, Dr. Alejandro Torres-Fornè, Pablo Cerda-Duran Department of Astronomy and Astrophysics, Valencia University, Spain

Summary of recent research activity
I am part of the LIGO/Virgo collaboration for the research of gravitational waves. I have always been involved in the analysis and interpretation of data acquired by GW detectors in order to improve the quality of the same and make it easier to detect gravitational signals. I introduced the technique of whitening (Elena Cuoco et al, 2001), which is used as the pre-processing for transient signal search algorithms.
In the last 5 years, I have focused my research activity on the study and application of machine learning techniques in the field of gravitational waves research. I have created a group of interest around these issues and have established international collaborations on several topics related to machine learning techniques. Since 2017, I have been co-chair of the Machine Learning group of the international collaboration LIGO/Virgo. In 2017, I led the preparation of a proposal for a successful COST Action (CA17137) that has as its main theme the creation of an interdisciplinary community where computer scientists mix with physicists and geophysicists to improve the analysis of data taken with interferometers for the detection of gravitational signals, with advanced techniques of artificial intelligence. The action is one of the 40 selected proposals of more than 400 submitted.

Representative Publications as Senior Author [excluding the most of collaboration paper]

  1. Total-variation methods for gravitational wave denoising: performance tests on Advanced LIGO data, Alejandro Torres-Forné, Elena Cuoco, Antonio Marquina, José A. Font, José M. Ibáñez, Phys. Rev. D 98,084013, 2018
  2. Wavelet-based Classification of Transient Signals for Gravitational Wave Detectors, Elena Cuoco, Massimiliano Razzano and Andrei Utina, #1570436751 accepted reviewed paper at EUSIPCO2018.
  3. Image-based deep learning for classification of noise transients in gravitational wave detectors, Massimiliano Razzano, Elena Cuoco, Class.Quant.Grav. 35 (2018) no.9, 095016.
  4. GW170817: Observation of Gravitational Waves from a Binary Neutron Star Inspiral
    LIGO Scientific and Virgo Collaborations (B. P. Abbott et al.), Phys.Rev.Lett. 119 (2017) no.16, 161101.
  5. Strategy for signal classification to improve data quality for Advanced Detectors gravitational-wave searches, Elena Cuoco, Jade Powell, Alejandro Torres-Forné, Ryan Lynch, Daniele Trifirò, Marco Cavaglià, Ik Siong Heng, José A.Font, Nuovo Cim. C40 (2017) no.3, 124.
  6. Classification methods for noise transients in advanced gravitational-wave detectors II: performance tests on Advanced LIGO data, Jade Powell, Alejandro Torres-Forné, Ryan Lynch, Daniele Trifirò, Elena Cuoco, Marco Cavaglià, Ik Siong Heng, José A. Font, Class.Quant.Grav. 34 (2017) no.3, 034002.
  7. Classification methods for noise transients in advanced gravitational-wave detectors
    Jade Powell, Daniele Trifirò, Elena Cuoco, Ik Siong Heng, Marco Cavaglià, Class.Quant.Grav. 32 (2015) no.21, 215012.
  8. Wavelet Tests for the Detection of Transients in the VIRGO Interferometric Gravitational Wave Detector, Leonardo Fabbroni, Marina Vannucci, Elena Cuoco, Giovanni Losurdo, Massimo Mazzoni, Ruggero Stanga, IEEE Trans.Instrum.Measur. 54 (2005) no.1, 151-162.
  9. Noise parametric identification and whitening for LIGO 40-meter interferometer data
    Elena Cuoco, Giovanni Losurdo, Giovanni Calamai, Leonardo Fabbroni, Massimo Mazzoni, Ruggero Stanga, Gianluca Guidi, Flavio Vetrano, Phys.Rev. D64 (2001) 122002.
  10. On line power spectra identification and whitening for the noise in interferometric gravitational wave detectors, Elena Cuoco, Leonardo Fabbroni, Massimo Mazzoni, Ruggero Stanga, Giovanni Calamai, Giovanni Losurdo, Flavio Vetrano, Class.Quant.Grav. 18 (2001) 1727-1752.

Invited Presentations at International Conferences and Workshops

  1. CERN Seminar, February 13th 2019, CERN, Geneve
  2. 2019 Computational Challenge in Gravitational Wave Astronomy, January 2019, IPAM, Los Angels, USA
  3. 2018 SOPHIA, Spring board for Artificial Intelligence, November 2018, Nice, France
  4. 2018 3rd ASTERICS-OBELICS workshop, Cambridge
  5. 2018 EUSPIC02018, Special Session on Advances in GW Signal Processing and Data Analysis, Rome, Italy
  6. 2018 Fifteenth Marcel Grossmann Meeting, Roma. Italy
  7. 2018 Round table on Machine Learning, Marcel Grossmann 15 Meeting, Roma. Italy
  8. 2018 Connecting The Dots 2018, Seattle, USA
  9. 2017 2nd ASTERICS-OBELICS workshop, Barcelona, Spain
  10. 2016 11th Workshop on Science with the New generation of High Energy Gamma-ray Experiments, Pisa, Italy
  11. 2016 XXII SIGRAV Conference – A Century of General Relativity. In the era of Gravitational Waves. Cefalù, Italy
  12. 2009 Gravitational Waves parallel session in Marcel Grossmann Meeting 12 2009, Paris, France
  13. 2006 Gravitational Waves parallel session in Marcel Grossmann Meeting 11 2006, Berlin, Germany
  14. 2003 Summer School at Porquerolles Harmonic Analysis and Rational Approximation:
    their rôles in signals, control, and dynamical systems theory
    Recent presentation at Conference and Workshop and Seminars and Outreach
    2018 Lectures at Computer Science Department, Bari University, Italy
    2018 Lectures at Data Science Ph.D Colloquium, Pisa University, Italy
    2018 Lectures at Physics Department, Università di Tor Vergata, Roma, Italy
    2016 EuroPython 2016, Bilbao, Spain
    2016 Lectures at Astronomy Department, Bologna University, Italy
    2011 9th Amaldi conference, Cardiff, UK
    2009 – Several outreach and dissemination talks on Gravitational Waves
    1995 – Several presentations at Virgo and LIGO/Virgo Collaboration meeting

Organization of International Conferences
2019 1st Conference on Machine Learning for Gravitational Waves, Geophysics, Robotics and Control System, January 14th-16th 2019 (chair)
2018 Computational Challenges in Gravitational Wave Astronomy, Institute for Pure and Applied Mathematics, UCLA January 28 – February 1, 2019 (SOC member)
2018 XXIII SIGRAV Conference-Black holes: Theory and observations (SOC member)
2018 Machine Learning workshop at EGO/ 30 participants /Italy (organizer)
2018 Machine Learning face to face for LIGO Virgo Collaboration / 60 participants/ USA (organizer)
2017 Machine Learning face to face for LIGO Virgo Collaboration / 60 participants / CERN (organizer)
2016 XXII SIGRAV Conference – A Century of General Relativity. In the era of Gravitational Waves. Cefalù, Italy (SOC member)
2016 5th GraWIToN school /30 participants /Roma La Sapienza, Italy (SOC member)
2015 First GraWIToN Data Analysis school / 30 participants / GSSI, Italy (SOC chair)
2015 Workshop on Electromagnetic follow-up program, EGO (LOC member)
2015 First GraWIToN Basic school/ 30 participants / EGO, Italy (SOC chair)
2012 Theory and application of signal processing methods (in GW detection, medical science and engineering) / 60 participants / EGO, Italy

Publication list:

https://www.researchgate.net/profile/Elena_Cuoco/publications
or
https://scholar.google.it/citations?user=kKSI7MAAAAAJ&hl=it