Daniel Carvalho da Cunha
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Associate Professor (Professor Associado) Contact |
Short Bio
Daniel C. Cunha received his B.S. degree in Electronic Engineering from University of Pernambuco (UPE), Recife-PE, Brazil, in 2000 and his Master's and Doctorate degrees in Electrical Engineering from State University of Campinas (UNICAMP), Campinas-SP, Brazil, in 2003 and 2006, respectively. Dr. Cunha has worked as Associate Professor at UPE from February 2007 to February 2012. Since February 2012 he is an Associate Professor of Computer Engineering and Computer Science at the Centro de Informática (CIn) of the Federal University of Pernambuco (UFPE) where he is a member of the Graduate Program in Computer Science.
Research Interests
Telecommunications systems, error control coding, applied information theory
Wireless and cooperative communications
Vehicular networking
Machine learning applied to telecommunications systems
Mobile positioning techniques
Some recent papers
Redução de Dimensionalidade Aplicada a Sistemas de Radiolocalização por Regressão Direta em Regiões com Diferentes Níveis de Urbanização
XXI Workshop em Desempenho de Sistemas Computacionais e de Comunicação (WPerformance) - 42o. Congresso da Sociedade Brasileira de Computação (CSBC 2022), Niterói-RJ, Aug. 2022.
G. W. A. Silva and D. C. Cunha
Radiolocalização de Usuários Móveis usando Fingerprinting e Aprendizado Baseado em Árvores
XI Conferência Nacional em Comunicações, Redes e Segurança da Informação (ENCOM 2021), Virtual Conf., Oct. 2021.
D. T. R. P. Silva, L. N. Silva and D. C. Cunha
A Cost-effective Trilateration-based Radio Localization Algorithm using Machine Learning and Sequential Least-square Programming Optimization
Elsevier Computer Communications, vol. 1, pp. 1-9, 2021.
J. P. P. G. Marques, D. C. Cunha, L. N. Silva, L. M. F. Harada and I. D. Silva
Localização de Usuários Móveis Baseada em Fingerprint de Rádio Frequência: Redução de Espaço de Busca usando Parâmetros de Atraso de Onda das Redes Celulares
XXXVIII Simpósio Brasileiro de Redes de Computadores (SBRC 2020), Rio de Janeiro-RJ, Dec. 2020.
G. H. S. Silva, T. A. L. Domingues, G. W. A. Silva and D. C. Cunha
A Scalable Fingerprint-based Angle-of-arrival Machine Learning Approach for Cellular Mobile Radio Localization
Elsevier Computer Communications, vol. 157, pp. 92-101, 2020.
R. D. A. Timoteo and D. C. Cunha
An RSS-Based Regression Model for User Equipment Location in Cellular Networks using Machine Learning
Springer Wireless Networks, vol. 25, doi: 10.1007/s11276-018-1774-4, pp. 4839-4848, 2019.
L. L. Oliveira, L. A. Oliveira Jr, G. W. A. Silva, R. D. A. Timoteo and D. C. Cunha
A Novel Combining-Based Method of Pool Generation for Ensemble Regression Problems
The 32nd Int. Florida Artificial Intelligence Research Society Conference (FLAIRS 32), Sarasota, USA, May 2019.
R. D. A. Timoteo, D. C. Cunha and P. S. G. Mattos Neto
Autonomous Power Management in Mobile Devices using Dynamic Frequency Scaling and Reinforcement Learning for Energy Minimization
Elsevier Microprocessors and Microsystems, vol. 64, doi: 10.1016/j.micpro.2018.09.008, pp. 205-220, 2019.
S. A. L. Carvalho, D. C. Cunha and A. G. Silva-Filho
Hybrid Time Series Forecasting Models Applied to Automotive On-Board Diagnostics Systems
IEEE International Joint Conference on Neural Networks (IJCNN 2018), Rio de Janeiro, Brazil, Jul. 2018.
D. M. Almeida, P. S. G. Mattos Neto and D. C. Cunha
A Proposal of an RF Fingerprint-based Outdoor Localization Technique using Irregular Grid Maps
IEEE Wireless Communications and Networking Conference (WCNC 2018), Barcelona, Spain, Apr. 2018.
G. P. Bittencourt, A. A. F. Urbano and D. C. Cunha
Identifying Power Consumption Signatures in LTE Conformance Tests using Machine Learning
9th IEEE Latin American Symposium on Circuits and Systems (LASCAS 2018), Puerto Vallarta, Mexico, Feb. 2018.
S. A. L. Carvalho, L. M. F. Harada, R. N. Lima, C. M. A. Barbosa, D. C. Cunha and A. G. Silva-Filho