Three COPELABS researchers have been ranked among the most influential researchers in the world
Three COPELABS researchers 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 and another assessing scientists for single-year impact up until the end of 2020. The list of most influential researchers in 2023 includes Dushantha Nalin K. Jayakody, Slavisa Tomic, and Marko Beko. 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.
More information here
The Department of Computer Engineering and Information Systems (DEISI) at Lusófona University, Lisbon is recruiting full-time PhD graduates in the areas of Computer Science
Faced with an increase in the number of students, the Department of Computer Engineering and Information Systems (DEISI) at Lusófona University, Lisbon, is looking to recruit full-time PhD graduates with profiles in core areas of Computer Science (Informatics, Telecommunications, Networks, Signal Processing, AI,...).
In addition to teaching activities (max 12h/week), the candidate(s) will be associated with the COPELABS R&D Unit, assigned to DEISI, as integrated members, where they will have the opportunity to develop research activities.
COPELABS is the only 100% private research center (not linked to any public institution) in the ICT area (the Electrical and Computer Engineering panel + the Computer Science and Information Technologies panel of FCT) with strategic funding from FCT. In the last FCT evaluation in 2018, COPELABS was rated GOOD. Financial conditions are comparable to those of the civil service.
Os potenciais candidatos devem enviar um Curriculum Vitae para: f7335@ulusofona.pt
Great news! European project proposal has been accepted for funding.
ANTIDOTE, a COPELABS project led by Principal Investigator Marko Beko, has been approved for funding by the Horizon Europe programme under the call HORIZON-MSCA-2023-SE-01.
The project AI Attack and Defense for the Smart Healthcare, or simply ANTIDOTE, has the primary objective of creating a sustainable European and inter-sectoral network of organizations working on a joint research programme in the interdisciplinary fields of Healthcare, AI and Cybersecurity.
CEEC Individual
In the 5th edition of the competition run by FCT (Fundação para a Ciência e a Tecnologia), Milos Stankovic, professor at Lusófona University and researcher at the COPELABS Research Unit, won an Individual CEEC as Principal researcher.
A scientific collaboration protocol was established between CTS and COPELABS
As a result, the collaboration will involve:
-Joint participation in research projects, with joint publications,
- -Promotion of the development of research methodologies and technologies,
-Interchange of researchers,
-Promotion of synergies through exploratory activities,
-Organization of seminars, conferences, and webinars,
-Training human resources.
Three COPELABS researchers have been ranked among the most influential researchers in the world
Three COPELABS researchers 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 and another assessing scientists for single-year impact up until the end of 2020.
The list of most influential researchers in 2022 includes Slavisa Tomic, Dushantha Nalin K. Jayakody, and Marko Beko. 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.
Ph.D. Research Assistant
COFAC, Cooperativa de Formação e Animação Cultural crl/ Universidade Lusófona, hereby opens a call to recruit a Ph.D. researcher, corresponding to position 195 of the Research Career Statute (around 45k € gross per year), under the terms of the applicable legislation, with an Open-Ended Employment Contract, within the scope of contract program between Fundação para a Ciência e Tecnologia, I.P. (FCT), and the above-mentioned Cooperative, supported by national funds inscribed in the budget of the Foundation for Science and Technology (FCT) – and carried out at the Research UnitCOPELABS – UI&D Cognitive and People-centric Computing.
Decentralized Machine Learning Control of Drone Swarms | OCRE
The project is developing advanced methods and algorithms for decentralized Machine Learning Control (MLC) for Networked Cyber-Physical Systems, and complex, spatially distributed and networked autonomous multi-agent dynamical systems. The methodological solutions cross the traditional boundaries between (deep) machine learning, control systems (reinforcement learning), and decentralization of functions.
This project is developed by Researcher Miloš Stanković, at Univerzitet Singidunum (in collaboration with Univesidade Lusófona).
More information, here.
COPELABS PRODUCTION OF INTERNATIONAL PUBLICATIONS IN 2022
In 2022 Copelabs members produced 50 publications in peer-reviewed international journals, out of which 25 are Q1 (Scimago quartile) journals and 21 are Q2 journals.
PhD thesis defence
We are happy to announce that on November 9, 2022, NEMPS' student Godwin Anuork Asaamoning successfully defended his PhD thesis entitled: "Wireless Networking for Autonomous Mobile Smart Camera Drones" in front of the jury composed of the following members:
- Prof. Doutor Marko Beko – Chairperson
- Profª. Doutora Ana Cristina Costa Aguiar (FEUP) – Raporteur
- Prof. Doutor Luis Filipe Lourenço Bernardo (FCT/NOVA) – Raporteur
- Prof. Doutor Paulo Jorge Milheiro Mendes – Supervisor
- Prof. Doutor João Carlos Roquete Fidalgo Canto – Member
- Prof. Doutor Lúcio Miguel Studer Ferreira – Member
- Prof. Doutor Slavisa Tomic – Member
Congratulations!
EU Horizon 2020 grant awarded to COPELABS!
An OCRE (Open Clouds for Research Environments) EU Horizon 2020 grant (100,000 EUR) has been awarded to a COPELABS team for a project dealing with algorithmic solutions that enable a system of autonomous Micro-Aerial Vehicles (MAVs, drones), acting as an intelligent cooperative swarm, to safely perform complex tasks in unknown environments, such as prevention and assistance with natural disasters (e.g. floods, earthquakes, wildfires etc.), assistance with search and rescue operations, and infrastructure monitoring and maintenance, to name a few. The project requires specialized cloud computing resources to perform complex and computationally heavy processing as part of training of the algorithms for MAVs demanding simulators of real-life environments. The cloud services will be provided by Google Cloud (represented by Telecom Italia Sparkle) who won the mini competiton organized in May 2022. The project has started in July 2022.
Great news! 2 European project proposals have been accepted for funding.
Great news! 2 European project proposals have been accepted for funding. The titles and abstracts are given below. Congratulations to all!
- Title: CyberSecPro-Collaborative, Multi-modal and Agile Professional Cybersecurity Training Program for A Skilled Workforce In the European Digital Single Market and Industries
Abstract: EU Higher Education Institutions (HEIs) have more than 128 cybersecurity academic programs (undergraduate and graduate) as identified by ENISA (CyberHEAD), JRC (ATLAS) and a variety of reports by the 4 pilot projects (Sparta, CyberSec4Europe, ECHO, CONCORDIA). These academic programs, with their static curricula, do not provide the dynamic capabilities and emerging skills needed in the market. The digital transformation imposes the HEIs to enhance their role in preparing the new generation workforce and to upskill the existing one in meeting the challenging and ever-growing cybersecurity challenges (e.g., massive AI attacks).
Seventeen (17) HEIs and thirteen (13) security companies from sixteen (16) Member States propose the agile CyberSecPro professional cybersecurity practical and hands-on training program that will complement, support and advance the existing academic programs by linking innovation, research, industry, academia and SME support. CyberSecPro aims to bridge the gap between degrees, working-life and marketable cybersecurity skill sets necessary in the digitalization efforts and become the best practice for all cybersecurity training programs.
Duration: 36 months
- Title: REMARKABLE- Rural Environmental Monitoring via ultra wide-ARea networKs And distriButed federated Learning
Abstract: Internet of Things (IoT) technology combined with complementary support for data analytics is the corner stone of today's digital transformation. The societal and economic impact of IoT/ML systems in urban and suburban areas significantly outpaces the one in rural areas due to a limited reach of connectivity infrastructure. To reverse further widening of the urban-rural gap, we need to bring efficient and affordable IoT/ML solutions to deep rural areas, reaching out to applications and use cases ranging from wildlife management, rural tourism, livestock monitoring, water and air pollution control, and others. By identifying main gaps in connectivity and affordable data analytics and through interleaved research, development and validation in a real-world setting, REMARKABLE will address the challenge of bringing IoT and data analytics systems a step closer to seamless, energy efficient and secure deployment in
rural ares. The consortium composed of six European academic partners, five companies and five associated partners representing leading academic groups from Africa, will focus on research, development, innovation and demonstration across five use cases with six demonstration sites located in rural areas across the European and African continent. The inter-disciplinary nature of the programme provides a unique opportunity for investigation of smart sensing, IoT and data science technology from non-traditional, holistic perspectives leading to new scientific achievements and innovations. Project outputs like smart IoT sensors and devices, rural IoT digital twining platforms, ultra wide-area IoT networks, novel data analytics models and architectures will find their routes to the market via active industrial partners. The project will impact EU workforce market via new interdisciplinary skills for young contributors and form new long-lasting networks of European and African institutions in the area of sensing, IoT, big data analytics and rural entrepreneurship.
Duration: 48 months
Lusófona wins DGS contest in the area of mental health
MentHA Digital - Mental Health and Ageing project, promoted by Lusófona university, won a public funding tender, within the scope of the National Program for Mental Health, of the General Directorate of Health (DGS). Proposed by two Lusófona researchers, Pedro Machado dos Santos (ICS) and Lúcio Studer Ferreira (COPELABS), this project aims to improve the well-being and quality of life of older adults with chronic mental illness and their formal and informal caregivers. A web platform will be developed with (i) a cognitive stimulation program to help delay cognitive losses in older adults with dementia, (ii) a neuropsychological assessment protocol to validate cognitive training, and (iii) a psychoeducational monitoring of their informal and formal caregivers. These programs can be carried out in mixed mode - face-to-face and remote. It will count on the involvement of Lusófona researchers and Computing Engineering and Information Technology Management students, as well as partners with whom the solutions will be built together: Association of Support to Depressive and Bipolar Patients, Association of Mental Health of the Algarve, Association for Integration and Support for the Young and Adult Mentally Disabled, Intervention and Active Rehabilitation Group, Portuguese Federation of Associations of Families of People with Experience of Mental Illness and Portuguese Red Cross.
COPELABS PRODUCTION OF INTERNATIONAL PUBLICATIONS IN 2021
In 2021 Copelabs members produced 40 publications in peer-reviewed international journals, out of which 18 are Q1 (Scimago quartile) journals and 22 are Q2 journals.
CEEC INDIVIDUAL 2021
In the 2021 FCT Individual Call to Scientific Employment Stimulus Copelabs has been awarded 1 Junior Researcher position.
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 “.
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.
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.
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
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.
The Department of Computer Engineering and Information Systems (DEISI) at Lusófona University, Lisbon is recruiting full-time PhD graduates in the areas of Computer Science
- Details
- Last Updated: Friday, 13 September 2024 15:48
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Faced with an increase in the number of students, the Department of Computer Engineering and Information Systems (DEISI) at Lusófona University, Lisbon, is looking to recruit full-time PhD graduates with profiles in core areas of Computer Science (Informatics, Telecommunications, Networks, Signal Processing, AI,...).
In addition to teaching activities (max 12h/week), the candidate(s) will be associated with the COPELABS R&D Unit, assigned to DEISI, as integrated members, where they will have the opportunity to develop research activities.
COPELABS is the only 100% private research center (not linked to any public institution) in the ICT area (the Electrical and Computer Engineering panel + the Computer Science and Information Technologies panel of FCT) with strategic funding from FCT. In the last FCT evaluation in 2018, COPELABS was rated GOOD. Financial conditions are comparable to those of the civil service.
Os potenciais candidatos devem enviar um Curriculum Vitae para: f7335@ulusofona.pt
Highlights
News
09.2024. Serras-Santos, R., Fachada, N., Matos-Carvalho, J.P., Tomic, S. & Beko, M. AutoNAV: A Python package for simulating UAV navigation in satellite-less environments. SoftwareX, 27. 101782. https://doi.org/10.1016/j.softx.2024.101782
06.2024. Fachada, N., & David, N. Artificial Intelligence in Modeling and Simulation. Algorithms, 17(6), 265. https://doi.org/10.3390/a17060265
06.2024. Cascais Brás, J., Filipe Pereira, R., Fonseca, M., Ribeiro, R., Scalabrin Bianchi, I. Advances in auditing and business continuity: A study in financial companies; Journal of Open Innovation: Technology, Market, and Complexity, Volume 10, Issue 2, 100304. https://doi.org/10.1016/j.joitmc.2024.100304
05.2024. S. Sabapathy, M. Surendar, and Dushantha Nalin K. Jayakody, “Rate-Splitting Sparse Vector Code for Next-Generation URLLC Systems”, IEEE Wireless Communications Letters.
https://doi.org/10.1109/LWC.2024.3400452
05.2024. Oliveira, A., Fachada, N., & Matos-Carvalho, J.P. Raster Forge: Interactive raster manipulation library and GUI for Python. Software Impacts, 20, 100657. https://doi.org/10.1016/j.simpa.2024.100657
03.2024. Ambrish Kumar, Dushantha Nalin K. Jayakody, and Rishbrind Kumar Upadhya, "Secure and Reliable IoT Communication in Underlay CRN with Imperfect CSI", IEEE IoT Journal. https://doi.org/10.1109/JIOT.2024.3372185
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
01.2024. Chathuranga Basnayaka, Dushantha Nalin K. Jayakody, Tharindu Dilshan Ponnimbaduge Perera, Marko Beko, "DataAge: Age of Information in SWIPT-Driven Short Packet IoT Wireless Communications", IEEE Internet of Things. https://doi.org/10.36227/techrxiv.171441631.16807383/v1.
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, A. & Vojinovic, 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.
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
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
An Overview on Push-based Communication Models for Information-Centric Networking
02.2019: New IRTF ICNRG draft
. nformation-centric Routing for Opportunistic Wireless Networks.
01.2019: Accepted paper, Sensors 2019, Special Issue on Wireless Location Tracking
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
Elephant Herding Optimization for Energy-Based Localization
11.2018: Accepted paper Sensors 2018, Special Issue on Wireless Location Tracking
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
04.2018 Accepted Book Chapter
03.2018 IRTF draft DABBER
Information-centric Routing for Opportunistic Wireless Networks
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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.
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