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B1 auditorium, Complexo Pedagógico II (UMinho)

B1 auditorium, Complexo Pedagógico II

UMinho

R. da Universidade 4710-057 Braga - Portugal
Nuno Castro (LIP, and University of Minho), Lorenzo Cazon (LIP), Rúben Conceição (LIP)
Description

Data Science: bridging fundamental research and industry

An event that shows the potential and synergies of high energy physics and astroparticle physics with the highly demanded field of Data Science in modern society, and creates links with the industry.

www.lip.pt/data-science-2019

 

pictures: https://www.flickr.com/photos/nfcastro/albums/72157707848359224

poster
  • Thursday, 28 March
    • 09:00 → 09:45
      Opening session 45m

      Prof. Dr. Guilherme Pereira, pro-rector of the University of Minho for Institutional Assessment and Special Projects

      Prof. Dr. Paulo Sampaio, vice-president of the School of Engineering of the University of Minho

      Prof. Dr. Nuno Castro, director of LIP and chair of the organizing committee of the symposium

    • 09:45 → 10:15
      LIP - Data Science in (Astro)Particle Physics 30m
      Speaker: Rúben Conceição (LIP)
      LIP-presentation-RC.pdf
    • 10:15 → 10:45
      BIAL - Exploring chemical and biological spaces in drug discovery 30m
      Speaker: Nuno Palma (BIAL)
    • 10:45 → 11:15
      Coffee-break
    • 11:15 → 11:45
      Altice Labs - DataPlaxe – Big Data processing and monetization platform 30m
      Speaker: Mário Moreira (Altice Labs)
    • 11:45 → 12:15
      Novo Banco - Data Science in Banking: making your bank smarter to make your life easier 30m
      Speaker: Bernardo Caldas (Novo Banco)
    • 12:15 → 12:45
      WeDo Technologies - Why Machine Learning is key to fight fraud in the digital era 30m
      Speaker: Raul Azevedo (WeDo Technologies)
    • 12:45 → 14:00
      Lunch
    • 14:00 → 14:30
      UMinho - Minho Advance Computing Center 30m
      Speaker: António Cunha (Universidade do Minho)
      MACC_UMinho_mar19.pdf
    • 14:30 → 15:00
      EFACEC - Smart Data for the Smart Grid: Opportunities and Challenges 30m
      Speaker: Rogério Paulo Dias (EFACEC)
      Efacec, Rogério Paulo, Data Science - Bridging Fundamental Research and Industry - for realease, v1.0 (2019-03-28).pdf
    • 15:00 → 15:30
      UMinho - Adaptive Business Intelligence: using Prediction and Optimization for Decision Support 30m
      Speaker: Paulo Cortez (Universidade do Minho)
      cortez-lip-ds-2019.pdf
    • 15:30 → 16:00
      Coffee-break
    • 16:00 → 16:30
      UMinho - Banks' credit allocation and financially distressed firms: exit, recovery and productivity 30m
      Speaker: Miguel Portela (Universidade do Minho)
      produtividade_v16_LIP_v3.pdf
    • 16:30 → 17:00
      Vodafone - The Path to Malaria Elimination & Technics to Detect Offensive Language 30m
      Speaker: Filipa Peleja (Vodafone)
      The Path to Malaria Elimination & Techniques to Detect Offensive Language.pdf
    • 17:00 → 18:00
      IBM - Teach a computer to see, use a marker, and say: "Wait a minute - that's not normal" 1h
      Speaker: Willem Hendriks (IBM)
      gitlab repository
  • Friday, 29 March
    • 09:00 → 09:30
      UMinho - Big Data Analytics for Smart Cities and Industries 30m
      Speaker: Maribel Yasmina Santos (Universidade do Minho)
      BDAnalytics_MYS_Print.pdf
    • 09:30 → 10:00
      Siemens - Analytics Lab: data science in Siemens 30m
      Speaker: Miguel Batista (Siemens)
      Siemens@LIPDataScience0329.pdf
    • 10:00 → 10:30
      Amplemarket - Making sense of text 30m
      Speaker: Micael Oliveira (Amplemarket)
      1-amplemarket_data_science_talk.pdf
    • 10:30 → 11:00
      Coffee-break
    • 11:00 → 11:30
      LIP - Computing at LIP 30m
      Speaker: João Pina (LIP)
      LIP-COMPUTING-FOR-DATA-SCIENCE.pdf
    • 11:30 → 12:00
      Nielsen - Exploring the synergies with fundamental research at LIP 30m
      Speakers: Rita Lima (Nielsen), Tânia Ralha (Nielsen)
      Nielsen_Presentation_LIP_March_2019.pdf
    • 12:00 → 12:30
      UMinho - Behaviour Analysis@ISLab 30m
      Speaker: Paulo Novais (Universidade do Minho)
    • 12:30 → 14:00
      Lunch
    • 14:00 → 14:30
      Critical materials - Data Science in Structural Health Management  of critical systems 30m
      Speaker: Júlio Viana (Critical materials)
      CMT_data science_UMinho_2019.pdf
    • 14:30 → 15:00
      Fraunhofer - Intelligent Systems at Fraunhofer AICOS 30m
      Speaker: Inês Sousa (Fraunhofer)
      FhP Institutional Presentation - IS.pdf
    • 15:00 → 15:30
      Fujitsu - Co-creation in IT & Industry Challenges 30m
      Speakers: Claudia Nunes (Fujitsu), José João Pereira (Fujitsu), Marcos Marques (Fujitsu)
    • 15:30 → 16:00
      Willis Tower Watson - Data and Modelling in the Pension Funds World 30m
      Speakers: Ana Margarida Rosa (Willis Tower Watson), Diogo Moreira (Willis Towers Watson)
      WTW LIP presentation 29 March 2019.pdf
    • 16:00 → 16:30
      Coffee-break
    • 16:30 → 17:00
      FCT - Research data management and data economy - Political context and funders' perspective 30m
      Speakers: Joelma Almeida (Fundação para a Ciência e Tecnologia), Vasco Vaz (Fundação para a Ciência e Tecnologia)
      20190329_LIP - Data Science.pptx
    • 17:00 → 17:30
      Accenture - Forecasting and Route Optimization at Accenture 30m
      Speakers: Alexandre Pinto (Accenture), Francisco Almeida (Accenture)
    • 17:30 → 18:00
      Defined Crowd - How humans and machines can work together to create AI 30m
      Speaker: João Freitas (Defined Crowd)
      DS Symposium 29-03-2019_c.pdf
    • 18:00 → 18:30
      Inovretail - Improving staff productivity through Data Science 30m
      Speaker: Hugo Lopes (Inovretail)
      Inovretail_ Staff Efficiency_Mar 2019 v1.pdf
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