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I am a final year PhD student in the Communications and Signal Processing group at Imperial College London, under the supervision of Prof. Pier Luigi Dragotti. Previously, I obtained a first class MEng degree in Electrical and Electronic Engineering from Imperial College London in 2016. Moreover, I worked for one year in Technology at J.P.Morgan post-graduation.

My research interests include neuromorphic information processing, mathematics for signal processing, computational neuroscience and social network analysis, graph signal processing, inverse problems.

A list of my Publications can be found here and below.

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Presentations

• Check out my entry for the PhD summer showcase 2021 at Imperial College London.
• Check out our presentation on "D-SLAM: Diffusion Source Localization and Trajectory Mapping", Roxana Alexandru, Thierry Blu and Pier Luigi Dragotti, IEEE International Conference on Acoustics, Speech and Signal Processing, Barcelona, Spain.
• Check out our work on "Sampling classes of non-bandlimited signals using integrate-and-fire devices: Average case analysis", Roxana Alexandru, Nguyen Thao, Dominik Rzepka and Pier Luigi Dragotti, IEEE International Conference on Acoustics, Speech and Signal Processing, Barcelona, Spain.

Journal Publications

• "Reconstructing classes of non-bandlimited signals from time encoded information", Roxana Alexandru and Pier Luigi Dragotti, IEEE Transactions on Signal Processing. Available online. PDF Version also available here.

Invited Book Chapters

• "Epidemic source detection in complex networks", Roxana Alexandru and Pier Luigi Dragotti. In Chee Wei Tan, editors, Online Social Networks: Perspectives, Applications and Developments, Nova Science Publishers, 2020. Available here.

Conference Proceedings

• EUSIPCO'21 "Localising diffusion sources from samples taken along unknown parametric trajectories", Roxana Alexandru, Thierry Blu and Pier Luigi Dragotti, European Signal Processing Conference, Dublin, Ireland.
• ICASSP'21 "Guaranteed reconstruction from integrate-and-fire neurons with alpha synaptic activation", Marek Hilton, Roxana Alexandru and Pier Luigi Dragotti, IEEE International Conference on Acoustics, Speech and Signal Processing, Toronto, Canada.
• EUSIPCO'20 "Time Encoding Using the Hyperbolic Secant Kernel", Marek Hilton, Roxana Alexandru and Pier Luigi Dragotti, European Signal Processing Conference, Amsterdam, Holland.
• ICASSP'20 "D-SLAM: Diffusion Source Localization and Trajectory Mapping", Roxana Alexandru, Thierry Blu and Pier Luigi Dragotti, IEEE International Conference on Acoustics, Speech and Signal Processing, Barcelona, Spain.
• ICASSP'20 "Sampling classes of non-bandlimited signals using integrate-and-fire devices: Average case analysis", Roxana Alexandru, Nguyen Thao, Dominik Rzepka and Pier Luigi Dragotti, IEEE International Conference on Acoustics, Speech and Signal Processing, Barcelona, Spain.
• SPIE'19 "Diffusion source detection in a network using partial observations", Roxana Alexandru and Pier Luigi Dragotti, Wavelets and Sparsity XVIII, San Diego, California.
• SampTA'19 "Time encoding and perfect recovery of non-bandlimited signals with an integrate-and-fire system", Roxana Alexandru and Pier Luigi Dragotti, International Conference on Sampling Theory and Applications, Bordeaux, France.
• ICASSP'19 "Time-based sampling and reconstruction of non-bandlimited signals", Roxana Alexandru and Pier Luigi Dragotti, IEEE International Conference on Acoustics, Speech and Signal Processing, Brighton, United Kingdom.
• GLOBALSIP'18 "Rumour source detection in social networks using partial observations", Roxana Alexandru and Pier Luigi Dragotti, IEEE Global Conference on Signal and Information Processing, Anaheim, California.
• EUSIPCO'18 "Estimating the topology of neural networks from distributed observations", Roxana Alexandru, Pranav Malhotra, Stephanie Reynolds, and Pier Luigi Dragotti, European Signal Processing Conference, Rome, Italy.

Conference Abstracts

• GSP'18 "Estimating the topology of neural networks from distributed observations", Roxana Alexandru, Pranav Malhotra, Stephanie Reynolds, and Pier Luigi Dragotti, Graph Signal Processing Workshop, Rome, Italy.

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Selected Awards

• Aug 2017-May 2021 EPSRC Doctoral Training Research Scholarship for 3.5 years.
• Apr 2019 Best Research Poster in Signal Processing, Imperial College London.
• Oct 2016 Eric Laithwaite Prize: awarded to an undergraduate student for outstanding innovation in the final year individual project, Department of Electrical and Electronic Engineering, Imperial College London.
• Oct 2016 Engineering Dean's List: awarded to students in top 10% of their year, Department of Electrical and Electronic Engineering, Imperial College London.
• Oct 2015 BP Dean's Award: awarded to a student who has made the biggest contribution to University life, Imperial College London.
• Apr 2015 Bechtel Scholarship: for the best essay related to the topic of sustainability, Imperial College London.
• Oct 2014 Sony Prize: awarded to an undergraduate student for outstanding academic achievement, Department of Electrical and Electronic Engineering, Imperial College London.
• Dec 2014 Power Academy Scholarship: awarded by National Grid to 10 undergraduates in the United Kingdom.
• Oct 2014 First Prize for Second Year Group Project, Department of Electrical and Electronic Engineering, Imperial College London.
• Oct 2013 First Prize for First Year Group Project, Department of Electrical and Electronic Engineering, Imperial College London.

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Updates

01.05.2021 Our paper on "Localising diffusion sources from samples taken along unknown parametric trajectories" has been accepted at EUSIPCO21!

14.05.2020 The book "Online Social Networks: Perspectives, Applications and Developments" has been published! Please check out our chapter contribution on "Epidemic source detection in complex networks".

29.04.2020 ICASSP 2020 has been re-envisioned as a virtual conference. Please visit the following page if you would like to register to watch our presentations on D-SLAM and time encoding!

24.01.2020 Our paper on 'D-SLAM: Diffusion Source Localization and Trajectory Mapping' has been accepted for ICASSP 2020!

24.01.2020 Our paper on 'Sampling classes of non-bandlimited signals using integrate-and-fire devices: Average case analysis' has been accepted for ICASSP 2020!

06.02.2019 Enjoyed the special session on Challenges and Perspectives in Spike-based Sensing and Processing, at ICASSP19, in Brighton, United Kingdom.

06.02.2019 Happy to win the Communications & Signal Processing Poster Competition!

01.02.2019 Our paper has been accepted for ICASSP 2019!

26.11.2018 Really enjoyed presenting our work on Rumour Source Detection in Social Networks using Partial Observations at GLOBALSIP'18, in Disneyland, California!

10.10.2018 Had fun attending the EMEA Student Research Workshop for Brain Inspired Computing and Technologies at Imperial College London!
Check out the video of the workshop here.

26.11.2018 I was happy to talk about our work on Estimating the Topology of Neural Networks from Distributed Observations at EUSIPCO'18, in Rome, Italy.

08.07.2018 Had a good time in Lausanne, Switzerland, atteding the 3rd Graph Signal Processing Workshop.

01.07.2016 Honoured and delighted to be awarded the Eric Laithwaite Prize for outstanding innovation in my final year project. This project addressed the problem of diffusion source detection in networks, and was supervised by Prof. Pier Luigi Dragotti. The project thesis can be found here.

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Contact

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