Name: Symposium
Start: 2019-03-28T09:00:00+00:00
End: 2019-03-29T19:00:00+00:00
Location: UMinho

Symposium

from Thursday, March 28, 2019 (9:00 AM) to Friday, March 29, 2019 (7:00 PM)

Monday, March 25, 2019
Tuesday, March 26, 2019
Wednesday, March 27, 2019
Thursday, March 28, 2019

9:00 AM Opening session
Opening session
9:00 AM - 9:45 AM
Room: B1 auditorium, Complexo Pedagógico II 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
9:45 AM LIP - Data Science in (Astro)Particle Physics - Rúben Conceição (LIP)
LIP - Data Science in (Astro)Particle Physics
- Rúben Conceição (LIP)
9:45 AM - 10:15 AM
Room: B1 auditorium, Complexo Pedagógico II
10:15 AM BIAL - Exploring chemical and biological spaces in drug discovery - Nuno Palma (BIAL)
BIAL - Exploring chemical and biological spaces in drug discovery
- Nuno Palma (BIAL)
10:15 AM - 10:45 AM
Room: B1 auditorium, Complexo Pedagógico II
10:45 AM

10:45 AM - 11:15 AM
Room: B1 auditorium, Complexo Pedagógico II
11:15 AM Altice Labs - DataPlaxe – Big Data processing and monetization platform - Mário Moreira (Altice Labs)
Altice Labs - DataPlaxe – Big Data processing and monetization platform
- Mário Moreira (Altice Labs)
11:15 AM - 11:45 AM
Room: B1 auditorium, Complexo Pedagógico II
11:45 AM Novo Banco - Data Science in Banking: making your bank smarter to make your life easier - Bernardo Caldas (Novo Banco)
Novo Banco - Data Science in Banking: making your bank smarter to make your life easier
- Bernardo Caldas (Novo Banco)
11:45 AM - 12:15 PM
Room: B1 auditorium, Complexo Pedagógico II
12:15 PM WeDo Technologies - Why Machine Learning is key to fight fraud in the digital era - Raul Azevedo (WeDo Technologies)
WeDo Technologies - Why Machine Learning is key to fight fraud in the digital era
- Raul Azevedo (WeDo Technologies)
12:15 PM - 12:45 PM
Room: B1 auditorium, Complexo Pedagógico II
12:45 PM

12:45 PM - 2:00 PM
Room: B1 auditorium, Complexo Pedagógico II
2:00 PM UMinho - Minho Advance Computing Center - António Cunha (Universidade do Minho)
UMinho - Minho Advance Computing Center
- António Cunha (Universidade do Minho)
2:00 PM - 2:30 PM
Room: B1 auditorium, Complexo Pedagógico II
2:30 PM EFACEC - Smart Data for the Smart Grid: Opportunities and Challenges - Rogério Paulo Dias (EFACEC)
EFACEC - Smart Data for the Smart Grid: Opportunities and Challenges
- Rogério Paulo Dias (EFACEC)
2:30 PM - 3:00 PM
Room: B1 auditorium, Complexo Pedagógico II
3:00 PM UMinho - Adaptive Business Intelligence: using Prediction and Optimization for Decision Support - Paulo Cortez (Universidade do Minho)
UMinho - Adaptive Business Intelligence: using Prediction and Optimization for Decision Support
- Paulo Cortez (Universidade do Minho)
3:00 PM - 3:30 PM
Room: B1 auditorium, Complexo Pedagógico II
3:30 PM

3:30 PM - 4:00 PM
Room: B1 auditorium, Complexo Pedagógico II
4:00 PM UMinho - Banks' credit allocation and financially distressed firms: exit, recovery and productivity - Miguel Portela (Universidade do Minho)
UMinho - Banks' credit allocation and financially distressed firms: exit, recovery and productivity
- Miguel Portela (Universidade do Minho)
4:00 PM - 4:30 PM
Room: B1 auditorium, Complexo Pedagógico II
4:30 PM Vodafone - The Path to Malaria Elimination & Technics to Detect Offensive Language - Filipa Peleja (Vodafone)
Vodafone - The Path to Malaria Elimination & Technics to Detect Offensive Language
- Filipa Peleja (Vodafone)
4:30 PM - 5:00 PM
Room: B1 auditorium, Complexo Pedagógico II
5:00 PM IBM - Teach a computer to see, use a marker, and say: "Wait a minute - that's not normal" - Willem Hendriks (IBM)
IBM - Teach a computer to see, use a marker, and say: "Wait a minute - that's not normal"
- Willem Hendriks (IBM)
5:00 PM - 6:00 PM
Room: B1 auditorium, Complexo Pedagógico II
Friday, March 29, 2019
9:00 AM UMinho - Big Data Analytics for Smart Cities and Industries - Maribel Yasmina Santos (Universidade do Minho)
UMinho - Big Data Analytics for Smart Cities and Industries
- Maribel Yasmina Santos (Universidade do Minho)
9:00 AM - 9:30 AM
Room: B1 auditorium, Complexo Pedagógico II
9:30 AM Siemens - Analytics Lab: data science in Siemens - Miguel Batista (Siemens)
Siemens - Analytics Lab: data science in Siemens
- Miguel Batista (Siemens)
9:30 AM - 10:00 AM
Room: B1 auditorium, Complexo Pedagógico II
10:00 AM Amplemarket - Making sense of text - Micael Oliveira (Amplemarket)
Amplemarket - Making sense of text
- Micael Oliveira (Amplemarket)
10:00 AM - 10:30 AM
Room: B1 auditorium, Complexo Pedagógico II
10:30 AM

10:30 AM - 11:00 AM
Room: B1 auditorium, Complexo Pedagógico II
11:00 AM LIP - Computing at LIP - João Pina (LIP)
LIP - Computing at LIP
- João Pina (LIP)
11:00 AM - 11:30 AM
Room: B1 auditorium, Complexo Pedagógico II
11:30 AM Nielsen - Exploring the synergies with fundamental research at LIP - Tânia Ralha (Nielsen) Rita Lima (Nielsen)
Nielsen - Exploring the synergies with fundamental research at LIP
- Tânia Ralha (Nielsen)
- Rita Lima (Nielsen)
11:30 AM - 12:00 PM
Room: B1 auditorium, Complexo Pedagógico II
12:00 PM UMinho - Behaviour Analysis@ISLab - Paulo Novais (Universidade do Minho)
UMinho - Behaviour Analysis@ISLab
- Paulo Novais (Universidade do Minho)
12:00 PM - 12:30 PM
Room: B1 auditorium, Complexo Pedagógico II
12:30 PM

12:30 PM - 2:00 PM
Room: B1 auditorium, Complexo Pedagógico II
2:00 PM Critical materials - Data Science in Structural Health Management of critical systems - Júlio Viana (Critical materials)
Critical materials - Data Science in Structural Health Management of critical systems
- Júlio Viana (Critical materials)
2:00 PM - 2:30 PM
Room: B1 auditorium, Complexo Pedagógico II
2:30 PM Fraunhofer - Intelligent Systems at Fraunhofer AICOS - Inês Sousa (Fraunhofer)
Fraunhofer - Intelligent Systems at Fraunhofer AICOS
- Inês Sousa (Fraunhofer)
2:30 PM - 3:00 PM
Room: B1 auditorium, Complexo Pedagógico II
3:00 PM Fujitsu - Co-creation in IT & Industry Challenges - José João Pereira (Fujitsu) Claudia Nunes (Fujitsu) Marcos Marques (Fujitsu)
Fujitsu - Co-creation in IT & Industry Challenges
- José João Pereira (Fujitsu)
- Claudia Nunes (Fujitsu)
- Marcos Marques (Fujitsu)
3:00 PM - 3:30 PM
Room: B1 auditorium, Complexo Pedagógico II
3:30 PM Willis Tower Watson - Data and Modelling in the Pension Funds World - Ana Margarida Rosa (Willis Tower Watson) Diogo Moreira (Willis Towers Watson)
Willis Tower Watson - Data and Modelling in the Pension Funds World
- Ana Margarida Rosa (Willis Tower Watson)
- Diogo Moreira (Willis Towers Watson)
3:30 PM - 4:00 PM
Room: B1 auditorium, Complexo Pedagógico II
4:00 PM

4:00 PM - 4:30 PM
Room: B1 auditorium, Complexo Pedagógico II
4:30 PM FCT - Research data management and data economy - Political context and funders' perspective - Joelma Almeida (Fundação para a Ciência e Tecnologia) Vasco Vaz (Fundação para a Ciência e Tecnologia)
FCT - Research data management and data economy - Political context and funders' perspective
- Joelma Almeida (Fundação para a Ciência e Tecnologia)
- Vasco Vaz (Fundação para a Ciência e Tecnologia)
4:30 PM - 5:00 PM
Room: B1 auditorium, Complexo Pedagógico II
5:00 PM Accenture - Forecasting and Route Optimization at Accenture - Alexandre Pinto (Accenture) Francisco Almeida (Accenture)
Accenture - Forecasting and Route Optimization at Accenture
- Alexandre Pinto (Accenture)
- Francisco Almeida (Accenture)
5:00 PM - 5:30 PM
Room: B1 auditorium, Complexo Pedagógico II
5:30 PM Defined Crowd - How humans and machines can work together to create AI - João Freitas (Defined Crowd)
Defined Crowd - How humans and machines can work together to create AI
- João Freitas (Defined Crowd)
5:30 PM - 6:00 PM
Room: B1 auditorium, Complexo Pedagógico II
6:00 PM Inovretail - Improving staff productivity through Data Science - Hugo Lopes (Inovretail)
Inovretail - Improving staff productivity through Data Science
- Hugo Lopes (Inovretail)
6:00 PM - 6:30 PM
Room: B1 auditorium, Complexo Pedagógico II