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  • Study on Social Interaction between Kids

     10.2017:

    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).

  • Check the Latest Opportunities @COPELABS!

    01.2018:

    Students' Topics and Grants 2017/2018, SITI R&D team at COPELABS, University Lusofona:
    http://copelabs.ulusofona.pt/index.php/others/open-positions

  • Ciência 2017: Oi! and Now@ demos

    07.2017:Check out the demos of Oi! and Now@ in Ciencia 2017!

    Miguel Tavares (SITI) speaking in Ciencia 2017 about NSense and the UMOBILE Now@ demos!

  • Named Data Networking (NDN) in Opportunistic Wireless Communications

    10.2017:

    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.

     

     

     

     

     

  • Oi!: Communicating directly, without Internet access

    04.2016:

    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

  • COPELABS gets additional funding by FCT

    07.2016:

     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.

  • 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/


     

     

  • 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


     

     

  • 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/

     

     

  • 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!

     

     

  • 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.

     

  • 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.

     

  • 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!

     

  • 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.

     

  • NSense presented in IEEE Healthcom2016

     09.2016:

    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.

  • Ddicas goes to the Mobicom16 app contest

    Ddicashas been presented in Mobicom2016, Mobile application contest, on October 4th 2016, NY,USA. Ddicas is a tool that relies on Wi-Fi fencing to perform user recommendations concerning local events or activities.

     

    DDicas has the following advantages: low-cost; no need to have constant Internet access; no need to have constant GPS access (works indoors and outdoors); advertisement provided based on interests, and not based on geo-fencing.

Highlights

News

02.2024. Lopes, P.,  Fachada, N., Fonseca, M., Gamboa, H. & Quaresma, C. (2024). Modelling Physiological Sensor Noise to Movement-Based Virtual Reality Activities. In Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSIGNALS 2024, vol. 1 (pp. 778-785), Rome, Italy. SciTePress/INSTICC. https://doi.org/10.5220/0012424200003657

01.2024. S. Tomic, M. Beko, “Trustworthy Target Localization via ADMM in the Presence of Malicious Nodes’’, to appear in IEEE Transactions on Vehicular Technology. https://doi.org/10.1109/tvt.2023.3346476

01.2024. Inácio, J., Fachada, N., Matos-Carvalho, J.P. & Fernandes, C.M. (2024). Humans vs AI: An Exploratory Study with Online and Offline Learners. Videogame Sciences and Arts, VJ 2023, CCIS, vol 1984 (pp. 272-286). Springer Nature. https://doi.org/10.1007/978-3-031-51452-4_19

12.2023. Fachada, N., Barreiros, F.F., Lopes, P. & Fonseca, M. (2023). Active Learning Prototypes for Teaching Game AI. 2023 IEEE Conference on Games (CoG), Boston, USA. https://doi.org/10.1109/CoG57401.2023.10333229.

12.2023. Ferreira-Saraiva, B.D., Matos-Carvalho, J.P., Fachada, N. & Pita, M. (2023). ParShift: a Python package to study order and differentiation in group conversations. SoftwareX, 24. 101554. https://doi.org/10.1016/j.softx.2023.101554

11.2023. A. Gunasekar, L. B. Kumar, P. Krishnan, R. Natarajan and D. N. K. Jayakody, "All-Optical UAV-Based Triple-Hop FSO-FSO-VLC Cooperative System for High-Speed Broadband Internet Access in High-Speed Trains," in IEEE Access, vol. 11, pp. 124228-124239, 2023, https://doi.org/10.1109/ACCESS.2023.3330236.

11.2023. S. Sabapathy, J. S. Prabhu, S. Maruthu and D. N. K. Jayakody, "Profuse Channel Estimation and Signal Detection Techniques for Orthogonal Time Frequency Space in 6G Epoch: A Survey," in IEEE Access, vol. 11, pp. 129963-129993, 2023, https://doi.org/10.1109/ACCESS.2023.3333428

10.2023. A. Pushparaj, D. N. K. Jayakody, R D S Arunapriya, M. Nathan, (2023) "An intelligent age of information based self‐energized UAV‐assisted wireless communication system, IET Communications, https://doi.org/10.1049/cmu2.12679.

10.2023. S. Tomic and M. Beko, "A Min-max Optimization-based Approach for Secure Localization in Wireless Networks", to appear in IEEE Transactions on Vehicular Technology, vol. X, no. Y, pp. 1--1, doi:10.1109/TVT.2023.3325063

09.2023. Fachada, N. & de Andrade, D. (2023). Generating multidimensional clusters with support lines. Knowledge-Based Systems, 277, 110836. https://doi.org/10.1016/j.knosys.2023.110836

08.2023. Furqan Ali, M., Jayakody, D. (2023) SIMO-Underwater Visible Light Communication (UVLC) system. Computer Networks.
https://doi.org/10.1016/j.comnet.2023.109750

06.2023. Rajaram, A., Guerreiro, J., Dinis, R., Jayakody, D.Beko, M. (2023) Optimum Performance Analysis and Receiver Design for OFDM based Frequency-Splitting SWIPT with Strong Nonlinear Effects. IEEE Internet of Things Journal.
doi: 10.1109/JIOT.2023.3284350

08.2023. Wang, Y., Obaidat, M., Yin, Y., Wang, L., Rodrigues, J., Sadoun, B. (2023) Robust Sparse Direct Localization of Smart Vehicle With Partly Calibrated Time Modulated Arrays. IEEE Transactions on Intelligent Transportation Systems.
doi: 10.1109/TITS.2023.3297248

06.2023. Mikovic, AVojinovic, M. (2023) State-Sum Models of Piecewise Linear Quantum Gravity, https://doi.org/10.1142/13233

05.2023. Fachada, N., de Andrade, D., Serra, P., Códices, N., Luz, F., Lopes, P., Fonseca, M. & Neves, P. (2023). Improving the CS Curriculum of a Top-Down Videogames BA. In Proc. of the 11th Computer Science Education Research Conference, CSERC '22 (pp. 62-63), Leiden, Netherlands. ACM. https://doi.org/10.1145/3569173.3569183

04.2023. Petukhova, A. & Fachada, N. (2023). MN-DS: A Multilabeled News Dataset for News Article Hierarchical Classification. Data, 8(5), 74. https://doi.org/10.3390/data8050074

04.2023. de Andrade, D. & Fachada, N. (2023). Automated Generation of Map Pieces for Snappable Meshes. In Proceedings of the 18th International Conference on the Foundations of Digital Games, FDG '23  (pp. 2:1-2:10), Lisbon, Portugal. https://doi.org/10.1145/3582437.3582483

03.2023. dos Santos, R.P., Fachada, N., Beko, M. & Leithardt, V.R.Q. (2023). A Rapid Review on the Use of Free and Open Source Technologies and Software Applied to Precision Agriculture Practices. Journal of Sensor and Actuator Networks, 12(3), 28. https://doi.org/10.3390/jsan12020028

01.2023. Ferreira, D. J., Mateus-Coelho, N. & Mamede, H. S. (2023). Methodology for Predictive Cyber Security Risk Assessment (PCSRA). Procedia Computer Science, 219, 1555-1563. https://doi.org/10.1016/j.procs.2023.01.447

11.2022. Ramos, G., Silvestre D., A. & Aguiar, A. P. (2022). A resilient continuous-time consensus method using a switching topology. Systems & Control Letters, 169, 105381. https://doi.org/10.1016/j.sysconle.2022.105381

11.2022. Figueiredo, E., Moldovan, I., Alves, P., Rebelo, H. & Souza, L. (2022). Smartphone Application for Structural Health Monitoring of Bridges. Sensors, 2022, 22(21), 8483. https://doi.org/10.3390/s22218483

10.2022. Lima, B., Fachada, N., Dinis, R., da Costa, D.B. & Beko, M. (2022). uavnoma: a UAV-NOMA network model under non-ideal conditions. Journal of Open Research Software, 10(1), 9. https://doi.org/10.5334/jors.397

09.2022. Saraiva, M., Mateus-Coelho, N. (2022). CyberSoc Framework a Systematic Review of the State-of-Art. Procedia Computer Science, 204, 961-972. https://doi.org/10.1016/j.procs.2022.08.117

07.2022. Fachada, N., e Silva, R.C., de Andrade, D. & Códices, N. (2022). Unity Snappable Meshes. Software Impacts, 13, 100363. https://doi.org/10.1016/j.simpa.2022.100363

06.2022. Petukhova, A. & Fachada, N. (2022). TextCL: a Python package for NLP preprocessing tasks. SoftwareX, 19. 101122. https://doi.org/10.1016/j.softx.2022.101122

06.2022. A. Sharma, V. Sharma, M. Jaiswal, Hwang-Cheng Wang, Dushantha Nalin Jayakody*, C. Basnayaka, A. Muthanna. (2022). "Recent Trends in AI-based Intelligent Sensing", Electronics 2022, 11, 1661. https://doi.org/10.3390/electronics11101661

05.2022. M. F. Ali, Dushantha Nalin K. Jayakody, S. Garg, G. Kaddoum, and M. Shamim Hossain. (2022). "Dual-Hop Mixed FSO-VLC Underwater WirelessCommunication Link, IEEE Transactions on Network and Service Management, June 2022,  https://doi.org/10.1109/TNSM.2022.3181169

05.2022  Petukhova, A. & Fachada, N. (2022). Retail System Scenario Modeling Using Fuzzy Cognitive Maps. Information, 13(5), 251. https://doi.org/10.3390/info13050251

05.2022. Magaia, N., Ferreira, P., Pereira, P. R., Muhammad, K., Del Ser, J., & de Albuquerque, V. H. C. (2022). Group'n Route: An Edge Learning-based Clustering and Efficient Routing Scheme Leveraging Social Strength for the Internet of Vehicles. IEEE Transactions on Intelligent Transportation Systems. https://doi.org/10.1109/TITS.2022.3171978

04.2022. Fachada, N. (2022). A computational pipeline for modeling and predicting wildfire behavior. In Proceedings of the 7th International Conference on Complexity, Future Information Systems and Risk, COMPLEXIS 2022 (pp. 79-84), Virtual Event. SciTePress/INSTICC. DOI: https://doi.org/10.5220/0011073900003197

04.2022. Hu, Q., Gois, F. N. B., Costa, R., Zhang, L., Yin, L., Magaia, N., & de Albuquerque, V. H. C. (2022). Explainable artificial intelligence-based edge fuzzy images for COVID-19 detection and identification. Applied Soft Computing, 108966. https://doi.org/10.1016/j.asoc.2022.108966

04.2022. Cipriano, B.P., Fachada, N. & Alves, P. (2022). Drop Project: An automatic assessment tool for programming assignments. SoftwareX, 18. 101079. https://doi.org/10.1016/j.softx.2022.101079

04.2022. e Silva, R. C., Fachada, N., de Andrade, D., & Códices, N. (2022). Procedural Generation of 3D Maps with Snappable Meshes. IEEE Access, 10. https://doi.org/10.1109/ACCESS.2022.3168832

02.2022. Fachada, V., Rahkila, P., Fachada, N., Turpeinen, T., Kujala, U. & Kainulainen, H. (2022). Enlarged PLIN5-uncoated lipid droplets in inner regions of skeletal muscle type II fibers associate with type 2 diabetes. Acta Histochemica, 124(3), 100014. https://doi.org/10.1016/j.acthis.2022.151869

01.2022. Accepted paper, S. Tomić, M. Beko (2022). Detecting Distance-spoofing Attacks in Arbitrarily-deployed Wireless Networks, IEEE Transactions on Vehicular Technology, DOI: 10.1109/TVT.2022.3148199

01.2022. Fernandes, P.A., Inácio, P.A., Feliciano, H. & Fachada, N. (2022). SimpAI: Evolutionary Heuristics for the ColorShapeLinks Board Game Competition. Videogame Sciences and Arts, VJ 2020, Revised Selected Papers. CCIS, vol 1531 (pp. 113-126). Springer Nature. https://doi.org/10.1007/978-3-030-95305-8_9

01.2022. Valderi R.Q. Leithardt, et al., 2022. "An Empirical Comparison of Portuguese and Multilingual BERT Models for Auto-Classification of NCM Codes in International Trade" Big Data and Cognitive Computing 6, no. 1: 8. https://doi.org/10.3390/bdcc6010008 - Quartil SJR: Q1

01.2022. Valderi R.Q. Leithardt, et al., 2022. "Towards ubiquitous requirements engineering through recommendations based on context histories." PeerJ Computer Science 8:e794 https://doi.org/10.7717/peerj-cs.794 Quartil SJR: Q2

12.2021. Valderi R.Q. Leithardt, et al., 2021. "Application of Machine Learning Techniques to Predict a Patient’s No-Show in the Healthcare Sector" Future Internet 14, no. 1: 3. https://doi.org/10.3390/fi14010003 Quartil SJR: Q2

12.2021. Accepted paper, M. Beko, S. Tomić, Toward Secure Localization in Randomly Deployed Wireless Networks, IEEE Internet of Things Journal, DOI: 10.1109/JIOT.2021.3078216

11.2021. de Andrade, D. & Fachada, N. (2021). PyXYZ: an educational 3D wireframe engine in Python. In Proceedings of the 26th Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE '21 (pp. 519-525), Virtual Event, Germany. https://doi.org/10.1145/3430665.3456345

11.2021. Daniel Silvestre (2021). Constrained Convex Generators: A Tool Suitable for Set-Based Estimation With Range and Bearing Measurements . In:
IEEE Control Systems Letters 6, pp. 1610 1615. doi: 10.1109/LCSYS.2021.3129729

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. Fachada, N. (2021). ColorShapeLinks: A Board Game AI Competition Framework for Educators and Students. Computers & Education: Artificial Intelligence, 2. 100014. https://doi.org/10.1016/j.caeai.2021.100014

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

 

 

 

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