Dr. Claudio FIANDRINO
Post-Doc Researcher
- BSc: Telematics Engineering - Politecnico di Torino. Turin, Italy
- MSc: Computer and Communication Networks Engineering - Politecnico di Torino. Turin, Italy
- PhD: Computer Science - University of Luxembourg. Luxembourg, Luxembourg
- Former position: PhD Student. University of Luxembourg. Luxembourg
- Joining date: December 2016
Biography
Claudio is a postdoctoral researcher at IMDEA Networks Institute, Madrid, Spain. He joined the Wireless Networking Group in December 2016 after having obtained his Ph.D. degree at the University of Luxembourg in November 2016. His PhD Thesis contributed to the ECO-CLOUD project with a focus on energy efficient communications in cloud, mobile cloud and fog computing. He received the Bachelor Degree in Ingegneria Telematica in 2010 and the Master Degree in Computer and Communication Networks Engineering in 2012 both from Politecnico di Torino. Claudio also holds the 2016 SmartICT Certificate on standardization for business innovation from the joint program of University of Luxembourg and ILNAS, the National Standardization Agency. Claudio was a Visiting Ph.D. Student at Clarkson University, NY, USA, where has worked on mobile crowdsensing.
Claudio has been awarded with two Spanish Juan de la Cierva grants (Formación 2017 and Incorporación 2019) and the Best Paper Awards in IEEE Cloudnet 2016, in ACM WiNTECH 2018 and IEEE GLOBECOM 2019. He is member of IEEE and ACM, served as Publication and Web Chair at IEEE CloudNet 2014, Publicity Chair at ACM/IEEE ANCS 2018, leading Workshop Co-Chair at MoCS 2019, TPC Co-Chair at IEEE CAMAD 2019 and Registration Chair at IEEE ICNP 2020. Claudio is member of the Editorial Board team of IEEE Networking Letters. His primary research interests include multi-access edge/fog computing, mobile crowdsensing and learning-driven network optimization.
Awards
- Best Paper Award at IEEE GLOBECOM 2019: “The Impact of Human Mobility on Edge Data Center Deployment in Urban Environments”
- Best Paper Award at ACM WiNTECH 2018: ”openLEON: an End-to-End Emulator from the Edge Data Center to the Mobile Users”
- Best Paper Award at IEEE CloudNet 2016: ”Smart Probabilistic Fingerprinting for Indoor Localization over Fog Computing Platforms”
Ongoing Projects
- User level traffic prediction in cellular network: Industry
- TAPIR-CM: Regional, Communidad de Madrid
- LOCUS: H2020
Software and Tools
- openLEON: an emulator for edge computing
- CrowdSenSim: a discrete-event simulator designed for research use in Mobile Crowd Sensing
Full CV
- Last update on 29/03/2021: cv-claudio.pdf
Publications
Performance evaluation of hybrid crowdsensing systems with stateful CrowdSenSim 2.0 simulator
Computer Communications. Volume 161 , September 2020
Event-based Vision: Understanding Network Traffic Characteristics
The 21st IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM 2020). Cork, Ireland. August 2020
A Machine Learning-based Framework for Optimizing the Operation of Future Networks
IEEE Communications Magazine. IEEE Communications Society. ISSN: 0163-6804. April 2020
openLEON: An End-to-End Emulation Platform from the Edge Data Center to the Mobile User
Computer Communications. https://doi.org/10.1016/j.comcom.2019.08.024. Volume 148 , Elsevier. ISSN: 0140-3664. December 2019