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Departamento de Engenharia Informática (DEISI) da ULHT, Lisboa, recruta doutorados em tempo integral nas àreas de Computer Science

Face ao aumento do número de alunos, o Departamento de Engenharia Informática (DEISI) da ULHT, Lisboa, pretende recrutar doutorados em tempo integral com perfis em áreas core de Computer Science (Informática, Telecomunicações, Redes, Processamento de Sinal, IA,....).

Para além das actividades lectivas (max 12h/sem), o(a)s candidato(a)s estarão associados à Unidade de I&D COPELABS, afecta ao DEISI, como membros integrados, onde terão a oportunidade de desenvolver actividades de investigação. 

COPELABS é o único centro de investigação 100% privado (sem ligação a nenhuma instituição pública) na área de ICT (o painel de Electrical and Computer Engineering + o painel de Computer Science and Information Technologies da FCT) com financiamento estratégico da FCT . Na última avaliação da FCT em 2018 o COPELABS teve a classificação de BOM. As condições financeiras comparáveis às da função pública.

 

Os potenciais candidatos devem enviar um Curriculum Vitae. para: p3564@ulusofona.pt

 

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CEEC INDIVIDUAL 2021

In the 2021 FCT Individual Call to Scientific Employment Stimulus Copelabs has been awarded 1 Junior Researcher position.

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Research database includes 2 DEISI/COPELABS professors among most influential in the world

Two DEISI/COPELABS professors have been ranked among the most influential researchers in the world according to a database created by Journal Plos Biology. The study carried out at Stanford University, in the USA, is published every year and assesses researchers in two different perspectives: one assessing scientists for career-long citation impact (Table-S6-career-2020) and another assessing scientists for single-year impact up until the end of 2020 (Table-S7-singleyr-2020).
The list of most influential researchers in 2020 includes Prof. Marko Beko and Prof. Slavisa Tomic. The database lists the 100,000 most influential scientists in the world, according to the composite citation index and other criteria. In addition, the list also includes scientists who are not in the top 100,000 according to the composite index but are nevertheless within the top 2% of scientists of their main subfield discipline.
According to the database, citation metrics are widely used, but not always correctly. For this reason, Plos Biology created a publicly available database that features the 100,000 leading scientists on the planet, considering standardized information on citations, h index, multi-author hm index, citations of articles in different authoring positions and a composite indicator. In this database, the separate data is shown for impact throughout the career and single year.
Also according to the document, “metrics are provided with and without self-citations and proportion of citations for cited articles. Scientists are classified into 22 scientific fields and 176 subfields. Field and subfield specific percentiles are also provided for all scientists who have published at least five articles. The data for career-long citation impact will be updated by the end of 2020 “.

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Memorandum of Understanding between fortiss and ULHT

fortiss, the Bavarian not-for-profit research and transfer centre for software-intensive systems associated with the Technische Universität München in the form of an An-Institut, and COFAC, entity responsible for the University Lusófona de Humanidades e Tecnologias, hereinafter referred to as "ULHT", have agreed to collaborate within the technical umbrella of “Edge computing and networking”, and specific topics being addressed within the fields of research and/or education: future wireless communications, including 5G/6G; Edge computing.

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IEEE VTS UAV 2020 Innovation Challenge

The joint effort of University of Novi Sad and Copelabs (represented by Brena Lima and Marko Beko) on the IEEE VTS UAV 2020 innovation challenge (https://events.vtsociety.org/vtc2020-fall/authors/vts-innovation-challenge-for-students/) won the first prize, ahead of teams led by Georgia State and Virginia Tech University.

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THE FOLLOWING 6 PROJECTS HAVE BEEN SUBMITTED IN THE FCT CALL FOR PROJECT GRANTS (2021)

1. Desenho de Sistemas de Localização Segura, with INESC-TEC
2. Codificação de dados esparsos para abordagens de reconstrução, classificação e aprendizagem, with IT
3. Técnicas de Transmissão de muito Alta Velocidade para os Futuros Sistemas de Comunicação sem Fios na Banda dos Terahertz, with IT
4. Segurança de nível físico melhorada para UAV, with IT and INESC-TEC
5. Monitorização de Ambiente Marinhos com Veículos Aéreos e Marítimos Não-Tripulados, with INESC-ID and CCMAR
6. Reconhecimento e identificação de cavalos através de inteligência artifical, with FCiências.ID

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COPELABS PRODUCTION OF INTERNATIONAL PUBLICATIONS IN 2020

In 2020 Copelabs integrated members produced 71 publications in peer-reviewed international journals and/or conference proceedings, out of which 21 are Q1 (Scimago quartile) journals and 13 are Q2 journals. In total, 89 publications in peer-reviewed international journals and/or conference proceedings, out of which 55 are journal articles (25 Q1 and 19 Q2), were produced.

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Research database includes 2 DEISI/COPELABS professors among most influential in the world

Two DEISI/COPELABS professors have been ranked among the most influential researchers in the world according to a database created by Journal Plos Biology. The study carried out at Stanford University, in the USA, is published every year and assesses researchers in two different perspectives: one assessing scientists for career-long citation impact (Table-S6-career-2019) and another assessing scientists for single-year impact up until the end of 2019 (Table-S7-singleyr-2019).
The list of most influential researchers in 2019 includes Prof. Marko Beko and Prof. Slavisa Tomic. The database lists the 100,000 most influential scientists in the world, according to the composite citation index and other criteria. In addition, the list also includes scientists who are not in the top 100,000 according to the composite index but are nevertheless within the top 2% of scientists of their main subfield discipline.
According to the database, citation metrics are widely used, but not always correctly. For this reason, Plos Biology created a publicly available database that features the 100,000 leading scientists on the planet, considering standardized information on citations, h index, multi-author hm index, citations of articles in different authoring positions and a composite indicator. In this database, the separate data is shown for impact throughout the career and single year.
Also according to the document, “metrics are provided with and without self-citations and proportion of citations for cited articles. Scientists are classified into 22 scientific fields and 176 subfields. Field and subfield specific percentiles are also provided for all scientists who have published at least five articles. The data for career-long citation impact will be updated by the end of 2019 “.

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The Following 6 projects have been submitted in the last FCT call for project grants

1. Building Secure Localization Infrastructure, with INESC-TEC
2. Sparse Signal Representations for Compressive Sensing and Machine Learning, with IT
3. Novel Ultra-high Speed Transmission Techniques for the Terahertz Band in Future Beyond-5G Networks, with IT
4. UAV enhanced physical layer security, with IT
5. Autonomous Multi-Vehicle Marine Environment Surveyor, with INESC-ID and CCMAR
6. Multiscale Self-Supervised Learning for Multimodal Medical Image Analysis , with ISR

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COPELABS PRODUCTION OF INTERNATIONAL PUBLICATIONS IN 2019

In 2019 Copelabs members produced 82 publications in peer-reviewed international journals and/or conference proceedings, out of which 19 are Q1 (Scimago quartile) journals and 15 are Q2 journals.

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The following 3 proposals have been selected for 1 year funding under the latest round of Copelabs Internal Call

1. Pedro Sá Costa, Architecture and communication systems for autonomous vehicles,

Recent traffic accidents involving autonomous vehicles cause great concern regarding safety and reliability in autonomous driving. These facts encourage research to improve the efficiency of the perception systems of these vehicles. Perception refers to the ability of an autonomous vehicle to collect information and extract relevant knowledge from the environment. In turn, cooperative perception is the sharing of local perception information with other vehicles or infrastructure through wireless communications. This cooperation impacts decision making and driving planning for increased reliability, safety, and reduced road congestion. In this proposal, we intend to elaborate a computational perception system for autonomous vehicles based on the cooperation capable of complementing the current systems to increase the confidence and safety for autonomous driving. This novel perception system will allow to detect moving and stationary objects to generate an obstacle map of a given geographical area. The combination of the local and remote information will give vehicles a more efficient perception system. This system cooperation will result from the data exchange between vehicles, and mobile edge computing infrastructure.

2.Milos Stankovic, Decentralized Cooperative Learning and Control for Networked Dynamical Systems


The subject of the proposal belongs to the emerging area of Intelligent Networked Cyber-Physical Systems (INCPS) dealing with complex, spatially distributed and networked heterogeneous multi-agent dynamical systems, representing one of the greatest challenges in modern science and technology. The impacts of INCPS will be ground-breaking, revolutionary and pervasive; this is evident today in emerging applications such as swarms of autonomous vehicles, smart buildings, cities and power grids, intelligent agriculture, transportation and manufacturing systems. Dimensionality, uncertainty, potential vulnerability, and information structure constraints, as fundamental characteristics of these systems, have led to the development of the decentralized decision making theory, providing scalability and robustness to structural uncertainties. However, high level of decentralization may increase vulnerability and decrease performance of the overall system. The general objective of the project is development of new methods, algorithms and practical tools for decentralized learning and intelligent control for resilient INCPS, based on applications of consensus techniques, robust statistics theory, game theory and reinforcement learning. More specifically the objectives are: 1) Development of decentralized and distributed estimation algorithms, for resilient cooperative learning in INCPS; and 2) Development of novel decentralized algorithms for cooperative multi-agent reinforcement learning control. Besides the short-term (1 year) expected results, the formulated objectives should also be considered in a long-term sense, having in mind the complexity, interdisciplinarity and generality of the approach.

3. Slavisa Tomic, Distributed Secure Localization

The fifth generation (5G) of networks is expected to provide significantly higher bandwidth and faster data rates with potential for interconnecting myriads of heterogeneous devices (sensors, agents, users, machines, and vehicles) into a single network (of nodes), under the notion of Internet of Things. The ability to accurately determine the physical location of each node (stationary or moving) will permit rapid development of new services and enhancement of the entire system. In many outdoor environments, this could be achieved by employing global navigation satellite system (GNSS) which offers worldwide service coverage with good accuracy. However, installing a GNSS receiver on each device in a network with thousands of nodes would be very expensive in addition to energy constraints. Besides, in indoor or obstructed environments (e.g., dense urban areas, forests, and canyons) the functionality of GNSS is limited to non-existing, and alternative methods have to be adopted. Many of the existing alternative solutions are centralized, meaning that there is a sink in the network that gathers all information and executes all required computations. This approach quickly becomes cumbersome as the number of nodes in the network grows, creating bottle-necks near the sink and high computational burden. Therefore, more effective approaches are needed. As such, this project aims at developing novel distributed solutions for target localization in large-scale networks, in which nodes have restricted energy resources. Besides guaranteeing good localization performance (both in terms of localization accuracy and computational complexity), the main goal of the project will be to provide secure solutions (localization in malicious environments, i.e., in the presence of one or more internal/external attackers whose objective is to impede our fundamental desire to achieving high accuracy). This malicious setting raises the bar even higher in terms of difficulty of the problem, but is of paramount importance in many practical applications.

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CEEC individual

In the 2018 FCT Individual Call to Scientific Employment Stimulus Copelabs has been awarded 1 Assistant Researcher position.

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Visit of Dr. Manya Afonso to Copelabs

10.2019: Dr. Many Afonso, from  Biometris group, Wageningen University and Research, The Netherlands, visited COPELABS on October 27th 2019, and interacted with the resident researchers and PhD students.

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Visit of Dr. Marko Vukolic to Copelabs

09.2019: Dr. Marko Vukolic, from IBM Zurique and a member of Blockchain Security & Applications Group, visited COPELABS on September 27th 2019, and interacted with the resident researchers Marko Beko. Pedro Sá Costa and José Faisca.

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New research topics in 2020

Some of the new research topics in 2020 are: distributed reinforcement learning, massive MIMO, variational inference and big data, compressive sensing, grant-free random access protocols for 5G and beyond.

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External Advisory Board for Copelabs

Prof. Sanja Vranjes, Prof. Joel Rodrigues and Prof. Marco di Renzo  accepted the invitation to serve on the External Advisory Board for Copelabs. 

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COPELABS' production of international publications in 2018

In 2018 Copelabs members produced 71 publications in peer-reviewed international journals and/or conference proceedings, out of which 16 are Q1 (Scimago quartile) journals and 10 are Q2 journals.

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Copelabs was classified with "Good" by FCT in 2018

Copelabs was awarded the classification of "Good" by the international review panel appointed by the Portuguese Science Foundation (FCT),  in the last evaluation exercise launched in 2018. Copelabs will receive around 200k € for the period 2020-2023. This means that Copelabs is the only 100% private institution (with no connection/partnership to public Universities) in the areas of Computer Science and Electrical Engineering  that will receive the FCT strategic funding.

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Prof. Marko Beko elected Principal Researcher of COPELABS

22.05.2019: Prof. Marko Beko was elected Principal Researcher on the meeting of Scientific Council of Copelabs held on May 22nd 2019

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Visit of Prof. Christian Esteve Rothenberg to COPELABS

03.2019: Prof. Dr. Christian Rothenberg, from University of Campinas and head of the INTRIG (Information & Networking Technologies Research & Innovation Group) visited COPELABS on March 3rd 2019, and interacted with the resident researchers and PhD students.

Since August 2013, Christian Esteve Rothenberg is Assistant Professor at University of Campinas (UNICAMP), where he received his Ph.D. in Electrical and Computer Engineering in 2010. From 2010 to 2013, he worked as Senior Research Scientist in the areas of IP systems and networking at CPqD R&D Center in Telecommunications, Campinas, Brazil.

During his PhD, he worked on probabilistic data structures applied to packet forwarding in content-centric networks, was a visiting researcher (2008) at Ericsson Research Nomadic Lab, Jorvas, Finland, and contributed to the EU FP7 Publish/Subscribe Internet Routing Paradigm (PSIRP) project.
He holds the Telecommunication Engineering degree from the Technical University of Madrid (ETSIT - UPM), Spain, and the M.Sc. (Dipl. Ing.) degree in Electrical Engineering and Information Technology from the Darmstadt University of Technology (TUD), Germany, 2006. During his master thesis at Deutsche Telekom he worked on IMS-based fixed mobile convergence and mobility management, and was engaged in R&D activities on converged access networks (ScaleNet) and self-optimizing radio access networks. He was an Open Networking Foundation (ONF) Research Associate, co-chair of the IEEE SDN Outreach Committee initiative, and member of the CPqD Innovation Committee.
Christian has two international patents and over 100 publications, including scientific journals and top-tier networking conferences such as SIGCOMM and INFOCOM.

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Upcoming Events

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Projects

UMOBILE
BEING
IoT Lab
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

 

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.

The COPELABS IoT Lab

The IoT Lab is an experimental project of COPELABS dedicated to the exploration and analysis of networking architectures and communication protocols for multiple IoT environments, e.g., personal IoT and industrial IoT.  A few aspects being worked upon concern protocolar transmission and unified abstraction models for edge computing, as well as the relevancy of novel communication models (e.g., ICN) for IoT.

Highlights

News

11.2021. Accepted paper, G. Asaamoning, P Mendes, and N. Magaia. .A Dynamic Clustering Mechanism with Load-Balancing for Flying Ad Hoc Networks, IEEE Access, DOI: 10.1109/ACCESS.2021.3130417

09.2021. Accepted paper, F Neves, AC Finamore, SC Madeira, R Henriques. (2021).Mining Actionable Patterns of Road Mobility From Heterogeneous Traffic Data Using Biclustering, IEEE Transactions on Intelligent Transportation Systems,   https://ieeexplore.ieee.org/iel7/6979/4358928/09357483.pdf

07.2021. Accepted paper: S. Tomic, M. Beko, “A New Perspective on Range and Directional Localization Problem’’, to appear in IEEE Open Journal of Vehicular Technology, https://doi.org/10.1109/OJVT.2021.3094180

06.2021. Accepted paper: Rodrigo Cortesão, Daniel Fernandes, Gabriela Soares, Diogo Clemente, Pedro Sebastião and Lúcio S. Ferreira, "Cloud-based Implementation of a SON Radio Resources Planning System for Mobile Networks and Integration in SaaS Metric", to appear in IEEE Access 10.1109/ACCESS.2021.3087398

05.2021. Tiago Simas and Rion Brattig Correia and Luis M. Rocha, "The distance backbone of complex networks", Journal of Complex Networks, Oxford University Press,

https://doi.org/10.1093/comnet/cnab021

03.2021. Accepted paper:  FG Encinas, LA Silva, AS Mendes, GV González, VRQ Leithardt, ..., "Singular Spectrum Analysis for Source Separation in Drone-Based Audio Recording" In IEEE Access.https://doi.org/10.1109/ACCESS.2021.3065775 

02.2021. Accepted Paper, M. S. Stankovic, M. Beko, S. S. Stankovic, “Distributed Value Function Approximation for Collaborative Multi-Agent Reinforcement Learning’’, in IEEE Transactions on Control of Network Systems, https://doi.org/10.1109/TCNS.2021.3061909

11.2020. Accepted Paper, B. Lima, D. Costa, et.al "Adaptive Power Factor Allocation for Cooperative Full-Duplex NOMA Systems With Imperfect SIC and Rate Fairness", in IEEE Transactions on Vehicular technology, https://doi.org/10.1109/TVT.2020.3029791

11.2020. Accepted Paper, IEEE Open Journal of the Communications Society, M. Barahman, L. Correia, L. S. Ferreira, "A QoS-Demand-Aware Computing Resource Management Scheme in Cloud-RAN", in IEEE OJ-COMS. https://doi.org/10.1109/OJCOMS.2020.3034297

10.2020. Accepted Paper, IEEE Access, Daniel Silva, Rute Sofia. "A Discussion on Context-awareness to Better Support the IoT Cloud/Edge Continuum", in IEEE Access. DOI 10.1109/ACCESS.2020.3032388.

09.2020. Accepted paper, Electronics, Sales Mendes, André, Diego M. Jiménez-Bravo, María Navarro-Cáceres, Valderi Reis Quietinho Leithardt, and Gabriel Villarrubia González. "Multi-Agent Approach Using LoRaWAN Devices: An Airport Case Study." Electronics 9, no. 9 (2020): 1430.

https://doi.org/10.3390/electronics9091430

08.2020. Accepted paper, IEEE Access, J. C. S. Anjos and Valderi Leithardt et al., "Data Processing Model to Perform Big Data Analytics in Hybrid Infrastructures," in IEEE Access, doi: 10.1109/ACCESS.2020.3023344.

07.2020. Accepted Paper, IEEE Access, Fernandes,D., Raimundo,A., Cercas,F., Sebastiao,P., Rinis,R., Ferreira,L.S.. "Comparison of Artificial Intelligence and Semi-Empirical Methodologies for Estimation of Coverage in Mobile Networks", in IEEE Access, Vol. 8, July 2020, pp 139803-139812, 10.1109/ACCESS.2020.3013036

04.2020. Accepted Paper, IEEE Access , Fernandes,D., Clemente,D., Soares,G., Sebastiao,P., Cercas,F., Dinis,R, Ferreira,L.S., “Cloud-Based Implementation of an Automatic Coverage Estimation Methodology for Self-Organising Network”, in IEEE Access, Vol 8, Apr. 2020, pp 66456-66474, 10.1109/ACCESS.2020.2986437

01.2020. The most recently hired researcher Nuno Ricardo Garcia had a paper accepted in IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). TPAMI is the journal with the highest impact factor in the area of computer science (IF=17.73 for 2018). Congratulations.

11.2019. Accepted Paper, IEEE Transactions on Vehicular Technology,
S. Tomic, M. Beko, “A Geometric Approach for Distributed Multi-hop Target Localization in Cooperative Networks’’, to appear in IEEE Transactions on Vehicular Technology. https://doi.org/10.1109/TVT.2019.2952715

07.2019: Accepted Paper, IEEE Transactions on Antennas and Propagation,
K Turbic, L. Correia, M. Beko. A Channel Model for Polarised Off-Body Communications with Dynamic Users’’, IEEE Transactions on Antennas and Propagation, vol. 67, no. 11, pp. 7001-7013, November 2019. https://doi.org/10.1109/TAP.2019.2925157

06.2019: Accepted Paper, IEEE Access
D. Pedro, S. Tomic, L. Bernardo, M. Beko, P. Pinto, “Algorithms for Estimating the Location of Remote Nodes using Smartphones’’, IEEE Access, vol. 7, pp. 33713-33727, December 2019. https://doi.org/10.1109/ACCESS.2019.2904241

05.2019: Accepted Paper, MDPI Future Internet, Special Issue on Information-centric Networking

R. C. Sofia, Guidelines Towards Information-driven Mobility Management, Future Internet 2019, 11(5), 111; https://doi.org/10.3390/fi11050111

04.2019: Accepted Paper, MDPI Future Internet, Special Issue on Information-centric Networking

R. C. Sofia, P. Mendes, An Overview on Push-Based Communication Models for Information-centric Networking. MDPI Future Internet, 2019, 11(3), 74; https://doi.org/10.3390/fi11030074.

03.2019: Accepted Paper, European Control Conference 2019

Henry, D.; Cieslak, J.; Colmenarejo, P.; Branco, J.; Santos, N.; Serra, P.; Telaard, J.; Strauch, H.; Giordano, A. M.; De Stefano, M.; Ott, C.; Reiner, M.; Jaworski, J.; Papadopoulos, E.; Visentin, G.; Ankersen, F.; Fernandez, J.G.Model-based fault diagnosis and tolerant control: the ESA’s e.Deorbit mission

03.2019: Accepted paper, MDPI Future Internet 2019, Special issue on ICN

Sofia, Rute C.; Mendes, Paulo. An Overview on Push-based Communication Models for Information-Centric Networking

02.2019: New IRTF ICNRG draft

Mendes, Paulo; Sofia, Rute C.; Tsaoussidis, Vassilis; Diamantopoulos, Sotiris; Borrego, Carlos; Borrel, Joan; Sarros, Christos-Alessandros. nformation-centric Routing for Opportunistic Wireless Networks.

01.2019: Accepted paper, Sensors 2019, Special Issue on Wireless Location Tracking

Stankovic, S. S.; Stankovic, Milos; Johansson, Karl H.; Beko, Marko. On Consensus-based Distribution Blind Calibration of Sensor Networks

11.2018: Rute C. Sofia becomes Associate Editor of IEEE Access

11.2018: Accepted paper MDPI Sensors 2018, Special Issue on Wireless Location Tracking

Correia, Sergio; Beko, Marko; Cruz, Luis A. da Silva; Tomic, Slavisa. Elephant Herding Optimization for Energy-Based Localization

11.2018: Accepted paper Sensors 2018, Special Issue on Wireless Location Tracking

Tomic, Slavisa; Beko, Marko. Target Localization via Integrated and Segregated Ranging Based on RSS and TOA Measurements

11.2018: Results of the CEEC/COPELABS/JUNIOR2018: Prof. Dr. Pedro Sá Costa admitted.

10.2018: Rute C. Sofia becomes an IEEE Senior member

10.2018: Invited Talk: Cooperative wireless networking: Research challenges, P. Mendes, @LakesideLabs, University of Klagenfurt, Austria

09.2018: Accepted paper, ACM ICN 2018

P. Mendes, R. Sofia, V. Tsaoussidis, S. Diamantopoulos, J. Soares,Information-centric routing for opportunistic wireless networks. InProc. ACM ICN 2018, Sep. 2018.

09:2018: Accepted paper, IEEE WiMob

09.2018:C-BRAINs 2018/2019

C-BRAINS for 2018/2019 are out!

07.2018: Ciencia 2018

People-to-people Communication in Emergency Scenarios, P. Mendes, R. Sofia, M. Tavares, O. Aponte

06.2018: UMOBILE project

POC2 - information-centric communication in opportunistic scenarios, P. Mendes, M. Tavares, O. Aponte, R. Sofia, J. Soares

05.2018

UMOBILE Demo in Italy, Umbria

04.2018 Accepted Book Chapter

 Rute C. Sofia, Liliana I. Carvalho., Francisco de Melo Pereira, Samrat Dattagupta.The Role of Smart Data in Inference of Human Behavior and Interaction. Book chapter. "Smart Data: State-of-the-Art and Perspectives in Computing and Applications".

03.2018 IRTF draft DABBER

Information-centric Routing for Opportunistic Wireless Networks

 

 

 

Events

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

Organized events

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-

 

NEMPS PhD Programme

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

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