Daniel Carvalho da Cunha

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Associate Professor (Professor Adjunto)
Department of Computing Systems
Centro de Informática (CIn)
Federal University of Pernambuco (UFPE)

Contact
Room C-105
Tel: 55-81-21268430 (ext. 4751)
Fax: 55-81-21268438
E-mail: dcunha [at] cin.ufpe.br

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.

[CV Lattes]

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

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

A Hybrid Machine Learning Approach for Mobile User Positioning in Cellular Networks
XXXV Simpósio Brasileiro de Telecomunicações e Processamento de Sinais (SBrT 2017), São Pedro-SP, Sep. 2017.
R. D. A. Timoteo, L. N. Silva, D. C. Cunha and G. D. C. Cavalcanti

Autonomous Power Management for Embedded Systems using a Non-Linear Power Predictor
Euromicro on Digital System Design (DSD 2017), Vienna, Austria, Ago. 2017.
S. A. L. Carvalho, D. C. Cunha and A. G. Silva-Filho

A Machine Learning Regression-Based Approach for Dynamic Wireless Network Interface Selection
13th Advanced International Conference on Telecommunications (AICT 2017), Venice, Italy, Jun. 2017.
L. M. F. Harada and D. C. Cunha

On the Use of Nonlinear Methods for Low-Power CPU Frequency Prediction Based on Android Context Variables
15th IEEE International Symposium on Network Computing and Applications (NCA 2016), Cambridge-MA, USA, Oct. 2016.
S. A. L. Carvalho, D. C. Cunha and A. G. Silva-Filho

A Hardware and Software Web-Based Environment for Energy Consumption Analysis in Mobile Devices
15th IEEE International Symposium on Network Computing and Applications (NCA 2016), Cambridge-MA, USA, Oct. 2016.
S. A. L. Carvalho, R. N. Lima, D. C. Cunha and A. G. Silva-Filho

A Proposal of an Intelligent Forecasting System for Automotive Diagnostics using Time Series Analysis (BEST SCIENTIFIC INITIATION PAPER)
XIII Encontro Nacional de Inteligência Artificial e Computacional (ENIAC 2016), Recife-PE, Brazil, Oct. 2016.
D. M. Almeida, D. C. Cunha and P. S. G. Mattos Neto

Optimal Power Distribution in Non-Binary LDPC Code-Based Cooperative Wireless Networks
Elsevier Computer Networks, vol. 100, pp. 157-165, 2016.
B. L. R. Melo, D. C. Cunha and C. Pimentel

An Approach using Support Vector Regression for Mobile Location in Cellular Networks
Elsevier Computer Networks, vol. 95, pp. 51-61, 2016.
R. D. A. Timoteo, L. N. Silva, D. C. Cunha and G. D. C. Cavalcanti