dr. Francesco FioranelliAssistant Professor
Expertise: Bistatic/multistatic radar systems; data analysis for human micro-Doppler signature characterization and classification; maritime target and sea clutter characterization; through-wall imaging applications; detection and classification of small drones and UAVs; wind farm clutter characterization and mitigation
|Group:||Microwave Sensing, Signals and Systems (MS3)|
|Department of Microelectronics|
|Phone:||+31 15 27 85055|
I graduated in Telecomm Engineering (summa cum laude) at the Università Politecnica delle Marche, Ancona, Italy for my Bachelor (2007) and Master (2010). I received my PhD on through-wall radar imaging at Durham University, UK in January 2014 under the supervision of Prof Sana Salous with funding from the UK HMGCC, then worked as a Research Associate on multistatic radar with Prof Hugh Griffiths at University College London between February 2014 and March 2016.
I then joined the University of Glasgow in April 2016 as a Lecturer in the Glasgow College UESTC, the educational and research partnership between the University of Glasgow and the University of Electronic Science and Technology of China (UESTC) in Chengdu. In Glasgow I led the radar research theme (5 PhD students, 2 PDRAs, about £550k of funding) in collaboration with Dr Julien Le Kernec, within the Communication, Sensing & Imaging (CSI) group led by Prof Muhammad Imran.
I joined TU Delft in November 2019 as a TT Assistant Professor, in the MS3 (Microwave Sensing Signals & Systems) section led by Prof Alexander Yarovoy within the Department of Microelectronics. I obtained my tenure in October 2021. Here in Delft I am daily supervisor of a number of PhD candidates and master students.
I am a Senior Member of the IEEE and member of the IET, Chartered Engineer (CEng), Fellow of the UK Higher Education Academy (FHEA), associate member of the UK EPSRC Peer Review College since July 2017 and full member since August 2018, a reviewer for several academic journals in my field (IET RSN, IEEE TGRS & GRSL, IEEE TAES, IEEE Sensors) and AE for Electronic Letters and IET RSN.
I am always keen to hear from prospective candidates for masters projects and potentially PhD. Our project proposals are listed in the group website under education. Get in touch in case of any interest.
EE4675 Object Classification with Radar
The course will introduce the concept of micro-Doppler to characterise moving targets and some of the main techniques in Machine Learning applied to radar data for classification of objects of interest.
EE4C02 Systems Engineering
Introduction to systems engineering processes
ET4175 Radar II: Theory and System Design
Introduction to the design and operation of modern radar systems
Last updated: 27 Oct 2021