The Speaker is:
Marta R. Costa-Jussa

(UPC, Researcher)

This is the link to register:
https://attendee.gotowebinar.com/register/2679631187989229067

What is Marta’s presentation about:

Demographic biases are widely affecting artificial intelligence. In particular, gender bias is clearly spread in natural language processing applications, e.g. from stereotyped translations to poorer speech recognition for women than for men. In this talk, I am going to overview the research and challenges that are currently emerging towards fairer natural language processing in terms of gender.

Her CV

RESEARCH IMPACT: SUMMARY

• Total citations to date: 1506; h-index 17; i-10 index: 32 (source Google Scholar, accessed

18/12/2019)

• Publications include:

o 34 journal papers indexed in JCR/ISI

o 20 other journal papers

o 90 international conferences

o 4 books or chapters

• Scientific consultant of ATLanguageSolutions, LucySoftware, BMMT, UniversalDoctor,

Tauyou

• 30 invited talks (e.g., MT-Marathon, University of Edinburgh, IEEE Women Section)

• High-international experience (working as a researcher in: France, Spain, Brazil, Mexico,

Singapore & UK)

EDUCATION

2006 - 2012 Business administration degree, Universitat Oberta de Catalunya (UOC,Spain)

2004 - 2008 PhD. Universitat Politècnica de Catalunya (UPC, Spain)

2004 - 2007 MERIT European Master of Research on Information and Communication

Technologies, UPC

2002 - 2004 MELP European Master in Speech and Language Processing, UPC

1999 - 2004 Telecommunication Engineering degree, UPC

PROFESSIONAL EXPERIENCE

2015 - pres. MarieCurie (1 year) / Ramón y Cajal (3 years) Researcher*, UPC

Research Visitor at the University of Edinburgh (3 months)

2014 - 2015 Post-doc, Instituto Politécnico Nacional (IPN, Mexico) (18 months)

2012 - 2013 MarieCurie Researcher*, Institute for Infocomm Research (I2R, Singapore) (1year)

2009 - 2012 Juan de la Cierva Post-doc*, Barcelona Media Innovation Center (BM, Spain)

(3 years) FAPESP Visiting Prof*, Universidade de São Paulo (USP, Brazil) (8

months); AGAUR Agency for Management of University&Research Grants Postdoct*,