Dr. Tran Viet Hung

Education

• Ph.D. in Electronic & Electrical Engineering, Trinity College Dublin, Ireland, 2009 - 2014.
• M.Sc. in Automation, Signal and Image Analysis, École Normale Supérieure (ENS) Paris-Saclay, France, 2008 - 2009.
• B.Eng. in Automatic control, University of Technology, Ho Chi Minh City, Vietnam, 2003 - 2008.

Professional Experiences

• 2014 - 2016: Postdoc researcher in Department of Information and Network, Telecom ParisTech institute, Paris, France.
• 2017 - 2018: Research Fellow at University of Surrey, London suburb, U.K.
• 2019 - now: Researcher at Ton Duc Thang University, Ho Chi Minh city, Vietnam.

Areas of interest

• Bayesian artificial intelligence (AI).
• Signal, sound and image processing
• Machine learning, neural network
• Renewable energy network
• MIMO sensor network
• Robotics.

Awards and projects

• Postdoctoral Fellowship, “Energy and radio resources allocation under uncertainty grid of sources”, SolarCell, Telecom ParisTech, France, 2014 - 2016
• Best conference paper for applied mathematics (Math prize), 22nd Irish Signals and Systems Conference (ISSC), 2011.
• FP7-European project (ISI-PADAS) – master’s internship: “Diagnostic of driver’s mistakes by statistic methods”, Supélec, Paris, France, 2009.
• 1st prize and prize of idea in the contest “Creative Projects of Student 2007” of the Faculty of Electrical-Electronics Engineering, University of Technology, Ho Chi Minh city, Vietnam (project: “Face Identification for controlling PC”)
• 3rd prize in the contest “Creative Projects of Student 2007” of the Faculty of Electrical-Electronics Engineering, (project: “Modernize hotel with SCADA by Labview and PLC Siemens”).

PUBLICATIONS

A. Journals

[1]. V. H. Tran, M. Coupechoux, “Cost-constrained Viterbi algorithm for resource allocation in solar base stations”, IEEE Trans. on Wireless Communications, 2017 http://ieeexplore.ieee.org/document/7898519/​​​​​​​​​​​​​​

B. Conferences

[1]. Tran, V. H., Wang, W., Luo, Y., & Chambers, J. (2018, April). Bayesian inference for multi-line spectra in linear sensor array. In 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 4254-4258). IEEE.

[2]. Tran, V. H., & Coupechoux, M. (2017). Cost-constrained Viterbi algorithm for resource allocation in solar base stations. IEEE Transactions on Wireless Communications, 16(7), 4166-4180.

[3]. Tran, V. H., & Quinn, A. (2011, May). The transformed variational Bayes approximation. In 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 4236-4239). IEEE.

[4]. Tran, V. H., & Quinn, A. (2011). Variational Bayes variants of the Viterbi algorithm. In Proc. 22nd IET Irish Signals and Systems Conference (ISSC), (Dublin).

[5]. Hung, T. V., & Quinn, A. (2010). Online Bayesian inference for mixture of known components.