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publications
Analysis and Modeling of Mobile Traffic Using Real Traces
Published in 2017 IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC), Montreal, Canada, 2017
Recommended citation: HD. Trinh, N. Bui, J. Widmer, L. Giupponi, P. Dini. (2017). "Analysis and Modeling of Mobile Traffic Using Real Traces." 2017 IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC), Montreal, Canada .
Mobile Traffic Prediction from Raw Data Using LSTM Networks
Published in 2018 IEEE 29th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), Bologna, Italy, 2018
Recommended citation: HD. Trinh, L. Giupponi, P. Dini. (2018). "Mobile Traffic Prediction from Raw Data Using LSTM Networks." 2018 IEEE 29th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), Bologna, Italy.
Unveiling Radio Resource Utilization Dynamics of Mobile Traffic through Unsupervised Learning
Published in 2019 TMA - Network Traffic Measurement and Analysis Conference, Paris, France, 2019
Recommended citation: A. Rago, G. Piro, HD. Trinh, G. Boggia, P. Dini. (2019). "Unveiling Radio Resource Utilization Dynamics of Mobile Traffic through Unsupervised Learning." 2019 TMA - Network Traffic Measurement and Analysis Conference, Paris, France.
Urban Anomaly Detection by Processing Mobile Traffic Traces with LSTM Neural Networks
Published in CyberEdge - Edge Computing for Cyber Physical System Workshop, 2019 IEEE International Conference on Sensing, Communication and Networking SECON, Boston, USA, 2019
Recommended citation: HD. Trinh, L. Giupponi, P. Dini. (2019). "Urban Anomaly Detection by Processing Mobile Traffic Traces with LSTM Neural Networks." CyberEdge: - Edge Computing for Cyber Physical System Workshop, 2019 IEEE International Conference on Sensing, Communication and Networking SECON, Boston, USA.
Detecting Mobile Traffic Anomalies through Physical Channel Fingerprinting: a Deep Learning Approach
Published in IEEE Access 2019, 2019
Recommended citation: HD. Trinh, E. Zeydan, L. Giupponi, P. Dini. (2019). "Detecting Mobile Traffic Anomalies through Physical Channel Fingerprinting: a Deep Learning Approach." JIEEE Access 2019.
Wake-up Scheduling for Energy-Efficient Mobile Devices
Published in 2020 IEEE Transactions of Wireless Communications, 2020
Recommended citation: S. Rostami, HD. Trinh, S. Lagen, M. Costa, M. Valkama, P. Dini. (2020). "Wake-up Scheduling for Energy-Efficient Mobile Devices." 2020 IEEE Transactions of Wireless Communications.
Proactive Wake-Up Scheduler based on Recurrent Neural Networks
Published in 2020 IEEE International Conference on Communications, 2020
Recommended citation: S. Rostami, HD. Trinh, S. Lagen, M. Costa, M. Valkama, P. Dini. (2020). "Proactive Wake-Up Scheduler based on Recurrent Neural Networks." 2020 IEEE International Conference on Communications.
talks
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
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Teaching experience 2
Workshop, University 1, Department, 2015
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