Cognitive and user-centric networking -- Computational Systems -- Data Mining and Statistics -- Knowledge Transfer

COPELABS in Ciência 2018



COPELABS researchers shall attend Ciência 2018 from July 2nd to July 4th. In addition to the regular stand, COPELABS shall participate in the Smart Cities/Cidades Inteligentes Session (15h30m, July 4th) with the talk "People-to-people Communication in Emergency Scenarios", by P. Mendes, R. Sofia, J. Soares, M. Tavares, O. Aponte.


The H2020 UMOBILE opportunistic wireless communication shall also be shown during July 4th, Pavillion 5, demos, via a demonstration of communication with intermittent Internet access, supported by the COPELABS application Oi! and by the novel routing protocol DABBER. These contributions have been developed by COPELABS in the H2020 UMOBILE project, grant number 645124.


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H2020 UMOBILE People-to-People Communications (PoC2 demo)



COPELABS researchers Paulo Mendes, Miguel Tavares, and Omar Aponte have been developing the "People-to-people Communications (PoC2) H2020 UMOBILE Demo, together with partner Senception Lda. This demo relies on an instant messenger application (Oi!) and on a novel routing protocol (DABBER) that extends the reach of Named Data Networking to wireless environments.


The H2020 UMOBILE opportunistic wireless communication shall also be shown during July 4th, Pavillion 5, demos, via a demonstration of communication with intermittent Internet access, supported by the COPELABS application Oi! and by the novel routing protocol .


These contributions have been developed by COPELABS in the H2020 UMOBILE project, grant number 645124.


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H2020 UMOBILE Outcome



The UMOBILE project has demonstrated its architecture in April 17th and 18th in Umbria, Italy, in the context of intermittent communication in emergency scenarios.

Check the latest outcome!

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The Role of Smart Data in Inference of Human Behavior and Interaction - book Chapter



This chapter explores features, concepts, and provides guidelines concerning the role and applicability of smart data captured in a non-intrusive way, in the inference and contextualization of human behavior and interaction.

The chapter starts by introducing aspects related to human interaction, for instance, how to define and to best model physical and psychological proximity; models for social awareness and social contextualization. The next part of the chapter deals with interaction inference and interaction contextualization, namely: classification models that best suit the inference of behavior in the vere of smart data; challenges in regards to small data capture and behavior inference derived from small data, in particular when considering decentralized, mobile cyber-physical systems; guidelines to model interaction based on pervasive wireless sensing systems, including available middleware and systems (tools). The chapter then provides information concerning specific applicability use-cases, namely, Points of Interest detection via smart data, and how smart data can be used to boost social interaction in a pervasive, non-intrusive way. The chapter concludes with a set of recommendations.


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DABBER: Data reAchaBility BasEd Routing for Named-data Networking Wireless Environments



The European UMOBILE project is working on methods to extend NDN towards opportunistic wireless networks. In this context, COPELABS has been implementing an NFD extension, called NDN-OPP, which supports NDN multi-hop wireless communication: NDN-OPP V1.0 for Android does broadcast of Interest packets over a Wi-Fi direct network. 
In order to reduce resource consumption in a NDN multi-hop wireless networks, COPELABS, SENCEPTION and ATHENA have created the DABBER routing protocol, which allows selective forwarding of Interest packets based on the local announcement of name prefixes + node awareness about the properties of neighbour nodes (centrality and availability). DABBER aims to operate on a point-to-point wireless network (e.g. Wi-Fi direct, DTN) as well as on a broadcast network (e.g. ah-hoc Wi-Fi).
DABBER has been submitted to IRTF, and was presented in the ICNRG meeting in London (Mar 17th - Mar 23rd 2018).

URL:            https://www.ietf.org/internet-drafts/draft-mendes-icnrg-dabber-00.txt
Status:         https://datatracker.ietf.org/doc/draft-mendes-icnrg-dabber/

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Contributions to H2020 UMOBILE


Within the European project H2020 UMOBILE the research group SITI @COPELABS, University Lusófona, is investigating the usage of NDN- Named Data Networking to extend data-centric communications into more dynamic wireless scenarios, such as emergency situations, or accessible communications. Check Oi!, Now@ apps and the NDN-Opp framework at: https://goo.gl/gmSIvo

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Check the Latest Opportunities @COPELABS!


Students' Topics and Grants 2017/2018, SITI R&D team at COPELABS, University Lusofona:

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ACM ICN 2017 Tutorial on UMOBILE


COPELABS participated in the ACM ICN conference organizing a tutorial in the context of the H2020 UMOBILE project. UMOBILE integrates the principles of Delay Tolerant Networking (DTN) and Information Centric Networking (ICN) in a common framework. By relying on an instance of the UMOBILE architecture, users are able to share information directly with other peers without relying on infrastructure or expensive connectivity services; providers are able to provide services in remote areas as well as in scenarios with intermittent internet access. Check the presentations available here: https://goo.gl/u1s5CK !

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Study on Social Interaction between Kids


This study is focused on an experimental study that has been carried out by COPELABS in cooperation with CIS-IUL and with Escola EB2,3, Pedro D’Orey da Cunha. This is an interdisciplinary study developed in the context of the COPELABS Proxemics Data Lab project, FCT reference number UID/MULTI/04111/2016, and involved an interdisciplinary team composed of computer scientists, and social psychologists, the school, as well as 80-140 students (10 to 14 year old) from different classes. Aiming at analyzing social interaction patterns of children in regards to different aspects such as contact theory and well-being and spaces, this study contemplated an interdisciplinary methodology where data obtained via surveys has been crossed with data obtained via a non-intrusive publicly available software that senses roaming patterns, PerSense Mobile Light (PML). Specific aspects being analyzed are: I) inter-prejudice reduction based on contact between members of different groups; ii) clustering aspects and mobility patterns to better perceive aspects such as inter-personal interaction; iii) relation of mobility towards spaces and well-being.


Authors: Mauro Bianchi, Anna Pegna, Rute Carvalho Sofia, Igor dos Santos, Ana Loureiro, Joana Santos, Ricardo Rodrigues (IUL).

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TUM Kolloquium: Contextual Interaction inference and characterization derived from wireless network mining

07.2017: Video available via the TUM media portal

This talk is focused on wireless network mining and on context and behavior characterization derived from the application of non-intrusive, pervasive sensing approaches in connected wireless environments. The research described in this talk goes over the development of networking solutions and mechanisms that can assist data capture and distributed inference of roaming habits in a way that may lead to social interaction stimulation (and as a consequence, to a better design of networking communication).

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Named Data Networking (NDN) in Opportunistic Wireless Communications


Within the European project H2020 UMOBILE the research group SITI (Informatics Systems and Technologies) of the R&D lab COPELABS, University Lusófona,  is investigating the usage of NDN- Named Data Networking to extend data-centric communications into more dynamic wireless scenarios, such as emergency situations, or accessible communications.

With this propose, COPELABS is devising an NDN Android implementation for opportunistic networks, called NDN-OPP, and two applications: a content sharing application called Now@; a short messaging application, called Oi!.

Based on NDN-OPP, both Now@ and Oi! applications are able to exchange data and send short messages, respectively, directly between neighbor devices, via Wi-Fi direct, of via an access network, via Wi-Fi.

Still within the UMOBILE project, SITI/COPELABS is creating a local testbed, encompassing SAMSUNG smartphones, Wi-Fi access points and one NDN router, which provides access to the NDN Global test bed.






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NSense presented in IEEE Healthcom2016


NSense: A People-centric, non-intrusive Opportunistic Sensing Tool for Contextualizing Social Interaction

The scientific paper NSense (Rute C. Sofia, Saeik Firdose, Luis Amaral Lopes, Waldir Moreira and Paulo Mendes) has been accepted in IEEE Healthcom 2016 (September 14th-18th, Munich). NSense is a software tool developed by COPELABS that tracks and infers social interaction aspects in the form of computational utility functions that aim at describing two indicators of interaction: propinquity, and social interaction level.

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COPELABS gets additional funding by FCT


 In July 2016, COPELABS has been awarded additional funding by Fundação para a Ciência e Tecnologia (FCT) in the context of its research unit Funding Support Programme 2016. This additional funding award amounts to 20 300 Euros for the period of 2016-2018, and refers to the Proxemics Data Lab project that has been established in June 2016 by COPELABS. In 2015, COPELABS had been awarded with a grade of "Good" and a core funding of 30 000 Euros funding by FCT in the category of small unit (less than 40 researchers holding a PhD) with high laboratorial intensity, based on its proposed strategic planning for 2015-2020.

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Oi!: Communicating directly, without Internet access


COPELABS is developing, in the context of the H2020 UMOBILE project, a set of applications that does not require Internet access for users to exchange information. Such opportunistic transmission applications rely on social interaction between devices to better propagate (route) information.

Oi! is one of such tools. Under development with the purpose of allowing message exchange without Internet access, Oi! considers the SOCIO framework to better select nodes to propagate the messages to.

Interested? http://goo.gl/NG8f3R

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ReHab2016: 4th Workshop on ICTs for improving Patients Rehabilitation Research Techniques

REHAB 2016: 4th Workshop on ICTs for improving Patients Rehabilitation Research Techniques . This workshop invites authors to submit contributions on concepts Virtual Rehabilitation Discussion, applications, techniques or environments where interaction design play a central role by improving the rehabilitation process at all levels. http://www.rehab-workshop.org/2016/



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Social Technology for Well-being workshop

COPELABS, OPIN Clinic, Municipality of Caldas da Rainha: 07.04.2016 workshop, social technology for well-being. http://goo.gl/NlVefh



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NSENSE traces available @CRAWDAD

NSENSE:  Data concerning social interaction and propinquity based on wireless  and bluetooth, contributed by S. Firdose, L. Lopes, W. Moreira, R. Sofia, P. Mendes.  This data set comprises experiments carried out considering Android devices carried by people around. http://www.crawdad.org/copelabs/usense/



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DDicas Pilot at the LxFactory OpenDay 6th to 8th May 2016!

Together with its spin-off Senception and with MainSide SGPS, COPELABS is organizing a pilot of the DDicas project to occur in Lisbon, LxFactory OpenDay in May 2016. The pilot allows visitors to get real-time information concerning available activities and events to occur on May 2016. Download the DDicasM application at http://www.ddicas.pt! and enjoy announces in advance about activities to occur!



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NSENSE: Measuring Social Interaction

The NSENSE beta version is out! NSENSE aims at better understanding the physical and social context of the users. In the beta version application provides some context data in non-intrusive way, and the data(not personal) are stored only on the device, not being sent to the Cloud.  This application is a product of the CitySense project which exploits its capabilities to stimulate social behaviour, encourage cooperation among users and provide trustable means for user interaction.


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PhD Nemps: 2016/2017 applications open!

PhD programme New Media and Pervasive Systems - NEMPS - applications are open for 2016/2017!

 Society has been having a predominant role due to the fact that citizens use the Internet not only to participate in provided services, but also by providing new services. The impact of this active participation is the consequence of two fundamental principles of Informatics Sciences: i) a fast-paced evolution of Internet services and architectures; ii) a wider interaction and immersion of the Internet user, as integrating part of these services, and technologies.

It is within this context that the NEMPS doctoral programme has been developed. NEMPS has as main goal to train individuals within the context of Informatics Sciences, but with specific expertise that can assist in solving and deriving innovation adequate to the Internet paradigms that are being raised due to the empowerment of the Internet user. Such expertise is derived from two main informatics sciences sub-areas: New Media and Pervasive Systems.


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Oi!: Opportunistic Data Transmission in Infocom2016

New COPELABS publication in Infocom 2016: Oi! - Opportunistic Data Transmission Based on Wi-Fi Direct, by L. Lopes, R. Sofia, P. Mendes, W. Moreira Jr. Oi! is a simple and opportunistic application that allows exchange of data even in the verge of no Internet access, by relying on opportunistic communication approaches. Developed in the context of the H2020 UMOBILE project, Oi! is open-source.


Contact COPELABS for further details!


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New COPELABS spin-off: Immersive Lives

IMMERSIVE LIVES is a spin-off project from COPELABS that was born from the consolidated experience of over of 10 years in designing, developing and validating immersive worlds. These worlds were devised to simulate critical situations where humans have difficulties in finding an easy get-out strategy.

At IMMERSIVE LIVES we believe that immersive worlds are the solution every time humans have to perform challenging conditions that are difficult to operate in real-life contexts.


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E-mail: omar dot aponte at ulusofona dot pt


Omar Aponte is a Software Engineer in COPELABS. At the same time, he is studying a Master Degree in Informatic Engineering and Information Sciences at the Lusófona University, Portugal. He completed his Science Bachelor Degree in 2007 and his Electronic Engineering Degree (2013) from UNEXPO University, Venezuela. During 2014 and 2015 he worked at Huawei Technologies like RF Engineer.


Master Thesis' Theme: "Mobility Metrics in Roaming Inference"


Omar Aponte is involved in the UMOBILE Project

Personal URL










 2015 - 

 MSc in Computer Engineering and Information Systems at University Lusófona, Lisbon.

 2007-  2013  BSc in Electronics Engineer at Universidad Experimental Politécnica António José de Sucre, Venezuela


Working Experience


2016 -  Junior Researcher at Copelabs.
2013-2015  Engineer RF (Radio Frequency) at Huawei Techonologies 
2013  Wireless Engineer Designer at Huawei Tecnhonologies
2013  Head-end Technician at Inter Corporación Telemic CA

Main Research Interests 


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Current Projects  

Some Previous Projects 

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Publications: For an up to date version of this list, please check COPELABS Scicommons


inProc. of : COPE-SITI-SW-16-08, Mobicom2016 app contest. (COPELABS/ULHT, Senception Lda, 2016-04)

inProc. of : COPE-SITI-SW-16-10. (COPELABS/ULHT, 2016-08)

inProc. of : COPE-SW-15-05, COPE-SITI-SW-16-04

inProc. of : inProc ACM ICN 2017. (ACM ICN 2017, 2017-09-26)


 Thesis Supervision 

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Upcoming Events

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H2020 UMOBILE project: Universal, mobile-centric and opportunistic communications architecture.
This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 645124


The Proxemics Data Lab, data that brings us together. Interdisciplinary project supported by FCT, ref UID/MULTI/04111/2016

BEING: Inference of Human Behavior via Network Mining

The BEING project (2018-2020) is focused on contextualization derived from data captured via wireless networks, and which today any device overhears. BEING expects to contribute to the development of pervasive wireless solutions, as well as studies in mining in wireless networks, to assist in a better and non-intrusive inference of human behavior, from an individual and collective perspective.




Our up-to-date list of events. Interdisciplinary meetings, workshops, and much more!

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Latest Research

Experimental Facilities

Wireless testbed

  17 smartphones Android; 4 tablets: iPhones and Nokia phones; 6 OpenWRT access points (Ubiquiti Nanostation and Power AP N); 1 3G to Wi-Fi router; notebooks (Toshiba satellite L755). 2013-. EU IST FP7 ULOOP and EU IST UMOBILE project testing and validation.

IoT Testbed

Composed of 1 server  (HP Proliant DL380 G7, 1x 6 Core 2,40Ghz, 12GB Mem, 2x SAS 146GB 15K rpm, Rack floor 0); Arduino boards; smartphones. 2013 40 smartphones with middleware developed in-house to assist data capture concerning roaming behavior and interaction. Currently used in the context of the Proxemics Data Lab project. 2017


Named data networking testbed @COPELABS

 1 dedicated router interconnected to the worldwide NDN testbed, 7 Android smartphones. Currently deploying interconnection towards the wireless tesbed. 2017-


logo nemps smallNEMPS PhD programme - New Media and Pervasive Systems, University Lusófona. Check out the application deadlines and scholarship opportunities!

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