Cookies Policy
The website need some cookies and similar means to function. If you permit us, we will use those means to collect data on your visits for aggregated statistics to improve our service. Find out More
Accept Reject
  • Menu
About
Download Photo HD

About

Marco Amaro Oliveira holds a Master degree in Information Systems and is a Phd Student in Informatics Engineering. His research and development interests are in Complex Information Systems, Systems of Systems, Spatio-temporal information and Systems Interoperability.
At INESCTEC, since 2000, he worked as researcher and project manager in several R&D, auditing and knowledge transfer projects.
At Instituto Universitário da Maia is an invited professor since 2003.
In 2015 co-founded Mitmynid, Ltd, a startup built on knowledge and experience to upturn the Logistics Services with an adaptable and complementary solution for all aspect of transportation services.

Interest
Topics
Details

Details

  • Name

    Marco Amaro Oliveira
  • Cluster

    Computer Science
  • Role

    Area Manager
  • Since

    20th July 2000
005
Publications

2021

A Comparative Study on the Performance of the IB+ Tree and the I2B+ Tree

Authors
de Carvalho, AV; Carneiro, E; Oliveira, MA;

Publication
Journal of Information Systems Engineering and Management

Abstract

2020

I2B+tree: Interval B+ tree variant towards fast indexing of time-dependent data

Authors
Carneiro, E; de Carvalho, AV; Oliveira, MA;

Publication
2020 15th Iberian Conference on Information Systems and Technologies (CISTI)

Abstract

2020

The 4-corner model as a synchromodal and digital twin enabler in the transportation sector

Authors
Carvalho, A; Melo, P; Oliveira, MA; Barros, R;

Publication
2020 IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC)

Abstract

2018

Single window for collaborative multimodal logistics services an optimized and integrated door-to-door services offer

Authors
Oliveira, MA; Barros, RS; De Carvalho, AV; Melo, PR;

Publication
2017 International Conference on Engineering, Technology and Innovation: Engineering, Technology and Innovation Management Beyond 2020: New Challenges, New Approaches, ICE/ITMC 2017 - Proceedings

Abstract
The development of a single window system for collaborative Multimodal Logistics services with offer for optimized and integrated door-to-door services is a complex endeavor. The concept was previously worked on by a set of European projects whose results were taken as best practices and lessons learned from the logistics sector. In this current paper we present a background and the major problems faced by the logistics sector and how IT can address them, and the existing expectations for collaborative real time door-to-door logistics Services. Next, we present the main results, consisting of an innovative system addressing these expectations - the Logistics Single Window. Finally we draw the conclusions from the results and present how the results innovate when compared with current state of the art. © 2017 IEEE.

2016

Efficient Delivery of Forecasts to a Nautical Sports Mobile Application with Semantic Data Services

Authors
Amorim, RC; Rocha, A; Oliveira, MA; Ribeiro, C;

Publication
Proceedings of the Ninth International C* Conference on Computer Science & Software Engineering, C3S2E '16, Porto, Portugal, July 20-22, 2016

Abstract
Weather and sea-related forecasts provide crucial insights for the practice of nautical sports such as surf and kite surf, and mobile devices are appropriate interfaces for the visualization of meteorology and operational oceanography data. Data are collected and processed by several agencies and are often obtained from forecast models. Their use requires adaptation and refinement prior to visualisation. We describe a set of semantic data services using standard common vocabularies and interoperable interfaces following the recommendations of the INSPIRE directive. NautiCast, a mobile application for forecast delivery illustrates the adaptation of data at two levels: 1) semantic, with the integration of data from different sources via standard vocabularies, and 2) syntactic, with the manipulation of the spacial and temporal resolution of data to get effective mobile communication. Copyright 2016 ACM.