Arlindo Oliveira
Short Personal Interview
Arlindo Oliveira was born in 1963 in Negage, Angola. He is an INESC-ID Researcher since 1984 (then INESC), and integrates the Scientific Area Information and Decision Support Systems (IDSS).
Arlindo Oliveira is a Distinguished professor of Instituto Superior Técnico (IST), with the Computer Science and Engineering Department.
PhD in Electrical Engineering and Computer Science (EECS) from UC Berkeley in 1994, with a Fulbright fellowship. BSc (1986) and MSc (1989) in EECS from IST.
Arlindo Oliveira is also President of INESC Holding.
For you, INESC-ID is…
A nice place to perform research.
Research project(s) under development
How would you explain in the most accessible and least technical language possible, what is the application / expected results of this (these) project (s)?
Use machine learning to model and fight COVID-19.
Tell us about your favorite project so far (or one of them)?
What are the biggest challenges of working in research in this area?
Lack of good data
What book are you currently reading?
Extraterrestrial: The First Sign of Intelligent Life Beyond Earth
How would you explain to your child (or your parents or grandparents) what your job is?
Make machines learn from experience, like children
…
Academic Degree
PhD
Training / Research Area
Machine Learning
INESC-ID Scientific Area
Information and Decision Support Systems (IDSS).
Website
https://www.linkedin.com/in/arlindo-oliveira-4119a1a/
https://twitter.com/arlindooliveira
Upcoming Events
Francisco António Chaves Saraiva de Melo: “Agregação” (Habilitation) in Computer Science and Engineering
Francisco António Chaves Saraiva de Melo, INESC-ID researcher within the Artificial Intelligence for People and Society Research Area and Associate Professor at the Department of Computer Science and Engineering of Instituto Superior Técnico, will present a course unit report and a seminar in order to be awarded his Agregação (Habilitation) in Computer Science and Engineering on 30th and 31st May 2022.
Francisco Melo will present the course unit report titled Planning, Learning, and Intelligent Decision Making at 9am on 30th May 2022 (available on Zoom), followed by the seminar Reinforcement learning: A dynamical systems viewpoint at 9am on 31st May 2022 (available on Zoom).
2nd RiverCure Workshop
Location: Meeting room of Department of Civil Engineering, Civil Engineering Building, Instituto Superior Técnico, Alameda Campus.
Agenda
9:00 – 9:10 Welcoming attendants
9:10 – 9:30 Overview of the project and main outputs (Rui Ferreira)
9:30 – 9:45 Mathematical modelling – HiSTAV shallow water solver (Daniel Conde)
9:45 – 10:00 Laboratory observatory – tools (Luís Mendes/Rui Ferreira)
10:00 – 10:15 Laboratory observatory – lab models (Rui Aleixo/Rui Ferreira)
10:15 – 10:30 Break
10:30 – 10:45 Field observatory – tools (Bruno Martins)
10:45 – 11:00 Field observatory – February 2016 and December 2019 floods, Rio Águeda (Rodrigo Oliveira)
11:00 – 11:20 The RiverCure portal – Conception and implementation (Alberto Silva)
11:20 – 11:40 The RiverCure portal – Applications (Ana Margarida Ricardo/Alberto Silva)
11:40 – 12:30 Discussion and Ending
RiverCure is a partnership of Agência Portuguesa do Ambiente, INESC-ID and IST-ID.
Support: APRH – Comissão Especializada em Hidráulica Fluvial
Funding: Fundação para a Ciência e a Tecnologia (FCT) RiverCure: Curating and assimilating crowdsourced and authoritative data to reduce uncertainty in river flow modelling. PTDC/CTA-OHR/29360/2017
Further details on the RiverCure project are available here.