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Karina Gibert

Data Mining, Data Science, KEMLg, eHealth, environmental applications, Hackingbullipedia, Intelligent Decision Support Systems, Preprocessing, Postprocessing, Knowledge Discovery from Data bases, Artificial Intelligence, ethics in AI, explainable AI
Karina picture

Full professor

Knowledge Engineering and Machine Learning group at

Intelligent Data Science and Artificial Intelligence Research Center

and

Dep. Statistics and Operations Research


Campus Nord UPC
C5 building, level 2, room 203
C/ Jordi Girona 1-3, 08034 Barcelona


Phone: +34 93 4017323
e-mail: karina.gibert(at)upc.edu

 

 

Head of the Intelligent Data Science and Artificial Intelligence Research Center, from Feb 2021

IP of the INSESS-Project (insess-covid19.upc.edu, from may 2020)

Expert of the Catalonia.AI strategic plan from Nov 2018

Co-founder and secretary of the research center IDEAI from Oct 2017

Founder of donesCOEINF (May 2018-)

Founder of donesIAcat (March 8th, 2019)

Founder of Red de Mujeres del Sector Digital (Nov 25th, 2019)

Pioneer member of the research group KEMLG

Pioneer member of the research group LIAM


Main interests:
Data Science, Knowledge Discovery from Databases, Data Mining,  Multivariate Statistics, Clustering, Artificial Intelligence, Explainable AI, AI and Ethics, Machine Learning, hybrid AI and Statistics Data Mining methods, Intelligent Decision Support Systems, Preprocessing, Postprocessing, Heterogeneous data analysis, health applications, environmental applications, Gender Gap in informatics engineering

More information:

Follow donesCOEINF on twitter @Dcoeinf
Follow donesIAcat on twitter @donesIAcat
Follow IDEAI on twitter @IdeaiUPC

      
 

Karina Gibert (Ph.D.) (karina.gibert@upc.edu, http://www.eio.upc.edu/en/homepages/karina, ORCID id: 0000-0002-8542-3509) is a Full Professor at the Universitat Politècnica de Catalunya-BarcelonaTech (UPC) since 2018, and has been teaching at UPC since 1990. Bachelor in Informatics Engineering (1990) with specialities in computational statistics and Artificial Intelligence. Ph.D. in Computer Science (UPC, 1995). Postgraduate in Higher Eductation Teaching (UPC, 1996). Member of the governmental working team Catalonia.AI (from oct 2018, Generalitat de Catalunya) and co-writter of the Catalan Strategic Plan for AI of the Catalan government (enacting from Frebruary 2018, 28th).


Service: Head of IDEAI from Feb 2021. Women in Data Science (Standford) co-ambassador (from Jan 2021). Advisoy board of Catalan Observatoire from Ethics in Artificial Intelligence, from Dec 1st, 2020. Vicepresident for Equity and Ethics ( Official Professional Chamber of Informatics Engineering of Catalonia (COEINF), June 2020-), past ViceDean for Big Data, Data Science and Artificial Intelligence at COEINF (May 2017-June2020).  Vice-director  (academic secretary) and co-founder of Intelligence Data Science and Artificial Intelligence Research center (IDEAI) (Jan 2018-Feb 2021). Founder of Commission donesCOEINF for the gender gap in Informatics Engineering  (May 2018-), donesIAcat (gender chapter at ACIA, Catalan Association of Artificial Intelligence, Mar 2019-)  Member of the Gender and Equality Commission of the Intercolegial of Professional Official Chambers from Catalonia (from April 2019) among others. External member of the VIDEALab, Australia (jan 2018) for visual analytics in healthcare systems.  Editor of JRC journal Environmental Modelling and Software, Elsevier, (Jan 2018-).  Elected board member of the Int’l Environmental Modelling and Software Society (iEMSs, from Jul 2016). Member of the Catalan Intersectorial Working Group in AI  (from Ap 2018). Member of the IASC Committee on Computational Statistics and Data Mining for Knowledge Discovery (Int’l Association of Statistical Computing, Jul 2015-). Member of the Experts committee of hospital Guttmann (Gen 2005- Dec 2018), reference center on neurorehabilitation. Representative of COEINF in the standardization UNE committee for Artificial Intelligence (from Des. 2019-) and the committee for Big Data (from Sept 2017). Assessing the  European Commission (fom Sept 2019-) on ethics in Artificial Intelligence. Representative of IDEAI in the IAbiomed research network (for AI health applications) and the task force of Health for Health in Planetic (set 2020-). Consultant of the Mental Health Department of the WHO (feb 2008- ag 2010) for Mental Healthcare systems conceptualization in LAMIC countries.


Teaching profile: She leads courses related with Statistics, Multivariate Analysis, Data Science, Intelligent Decision Support Systems in several degrees and master studies on Computer Science, AI, Statistics, Industry 4.0, Digital Transformation, Sustainability or eHealth both at UPC and other universities and is member of 3 PhD programms at UPC. Interested in innovation for teaching. Member of the Professional Skills commission of the Barcelona School of Informatics (june 2016-); eHealth Eurocampus european  project (1000224-EURCOM-EC) for training of ICT in eHealth. Edinsost (EDU2015-65574-R) for training of sustainability in higher education.

 

Awards: donaTIC 2018 Award in the academic/researcher category (Generalitat de Catalunya, dec 2018). First HackingBullipedia contest Award (nov 2013), related with the famous chef Ferran Adrià, with the project GENESIS: Intelligent decision support for creativity through evolutive analysis,  vimeo.com/78143348. “Highly accessed paper” distinction to HARPS 8(28)1:16. EU-best e-Health European project Award to K4Care projec t(feb 2010) for the high quality standards achieved. Elected Fellow from iEMSs (jul 2007).

 

Scientific and Technology Transfer activity: Her scientific production has continuously been recognized as excellent by the Spanish Governement from 1990, (44 SCI-papers, more than 450 publications, 19 in QI, H-index 26). She has edited 5 JCR special issues related with Data Science and AI. She advised 6 PhD thesis (one of them received the Chihuahua Technology award in 2003, México), 52 Final Degree Thesis and 22 Master Thesis, some of them to movility students (India or Italy). Some in cooperation with industry (BDigital, Mango, Accenture, Hewlet-Packard, Siemens...). She leaded research and technology transfer with many institutions (IP of 30 technology transfer contracts with 28 entities of productive sector). Researcher from 42 competitive projects, with a total budget of more than 10M euros; from them, 15 were European Projects.  To mention AI4EU (H2020-ICT-2018-2-RIA-825619) for an European platform on AI (jan 2019),  K4Care, (IST-2004-026968); Diet4You project (TIN2014-60557-R, to assess on personalized diets for healthy life-styles and taking into account health, life styles and gene-expressions); GAVIUS (UIA04-095) for digital transformation of public administration (set 2019-). Currently IP of project INSESS-COVID19 project (CCD-COVID-L019) to discover new social vulnerabilities produced by COVID19 crisis. Her expertise is related with the extraction of valuable decisional knowledge from data using data science and artificial intelligence techniques and to bridge the gap between data-driven methods and decision-making processes, including formal management of specific domain knowledge, topics very aligned with emergent field of explainable AI. IP of the software development of KLASS (1989-) and KET (2017- ) systems. She has long experience on health and wellness domains (consultant of the Mental Health Department of the WHO feb 2008- ag 2010), environmental systems and sustainability and digital transformation among others, always under an ethical approach. Essential characteristics of her research are the multidisciplinariety, the externalization, the internationalization and technology transfer to society. She is also involved in promoting the interest of girls for Computer science, Artificial Intelligence and Statistics from 2017.

 

Societies and working groups: She is pioneer member of COEINF (1991-, member 345), ACIA (1995- ), iEMSs (int’l Environmental Modelling and Software society, 2002-), MIDAS (Spanish funded Network on Data Mining and Learning, 2002-), AMyC (interest group in Multivariate Analysis and Classification, a chapter of Spanish Society of Statistics and Operations Research, 2006- ), SoCE (Catalan Statistical Society, 2010- ), ATICA (spanish network for Computational Intelligence, 2014- ), Knowledge Engineering and Machine Learning (KEMLg, 1986), now part of IDEAI and head of the group in 2013-2016. Member of PSICOST Association, past member of Catalan Society for Mathematics (1995-2005), EUSFLAT (European Society for Fuzzy Logic 1994-2000) and she works to disseminate Data Science, Knowledge Discovery and Data Mining techniques to Spanish and international community and to application fields like, environment, health or e-comerce. Chair of the CCIA2018 congress and DMTES workshop and session series inside iEMSs conference (2002- ). Chair of the Women in Technological professionals Workshop, Barcelona, des 2019. Co-chair of the event Women in Tech: Professional inclusion, Barcelona, feb 25,2019. She is also involved in promoting the role of women in Computer science and STEAM from 2017.


Links and Highlights

Positions and Awards


Scientific Production

  • View all Karina's publications in my Google Scholar profile

  • December 2018: Editor of the Special Issue on Environemental Data Science. Applications to Climate Change and Echological Footprint in Environmental Modelling and Software v 110. Elsevier
  • August 2018: Co-editor of the Special Issue on  Environmental Data Science.  Applications to Air pollution and Water Cycle  in Environmental Modelling and Software Journal, v 106 Elsevier.
  • December 9th, 2016: Editor of the Special Issue on Environmental Data Mining. AIComm v 29(6). IOSPress:  http://content.iospress.com/journals/ai-communications/29/6
  • January, 2015: Special Issue on Artificial Intelligence in the Catalan Association of Artificial Intelligence (AIComm v 28(1). IOSPress. http://content.iospress.com/journals/ai-communications/28/1
  • November 2006: Special Issue on Minería de Datos. Inteligencia Artificial. Revista Iberoamericana de IA v10(29). Springer

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