“Signal Processing in the AI era” was the tagline of this year’s IEEE International Conference on Acoustics, Speech and Signal Processing, taking place in Rhodes, Greece.
In this context, Brent de Weerdt, Xiangyu Yang, Boris Joukovsky, Alex Stergiou and Nikos Deligiannis presented ETRO’s research during poster sessions and oral presentations, with novel ways to process and understand graph, video, and audio data. Nikos Deligiannis chaired a session on Graph Deep Learning, attended the IEEE T-IP Editorial Board Meeting, and had the opportunity to meet with collaborators from the VUB-Duke-Ugent-UCL joint lab.
Featured articles:
- De Weerdt, B. et al., “Designing Transformer Networks for Sparse Recovery of Sequential Data Using Deep Unfolding” (https://ieeexplore.ieee.org/abstract/document/10094712)
- Yang X. et al., “Relevance Propagation through Deep Conditional Random Fields” (https://ieeexplore.ieee.org/abstract/document/10095075)
- Stergiou A. et al., “Play it back: Iterative attention for audio recognition” (https://ieeexplore.ieee.org/abstract/document/10096532, developed at the University of Bristol)
Hiva Houshyar participated in the final pitch event of the FARI AI Accelerator and presented her business idea and her pitch was selected as “Best Pitch” by the jury! 🎉
Her project, BB-GO, is building a navigation platform tailored to wheelchair users, focusing on personalised routing and urban accessibility. The vision is a world where wheelchair users can explore their city with the same confidence as anyone else.
Want to help shape BB-GO or link us to public authorities? Get in touch via Johan.Stiens@vub.be or Seyedeh.Hiva.Houshyar.Yazdian@vub.be
For second consecutive year two students of the Master program of Biomedical Engineering won the IE-net Awards. Florence Muller took the first place of the nominated Flemish students of the faculties engineering sciences, bio- engineering sciences, industrial engineering sciences and applied engineering sciences, Kristýna Holková won the 3rd price.
Each graduate of one of these faculties needs to belong to the top 20 % of the faculty. The best 45 candidates (15 bio-engineers, 15 civil engineers and 15 industrial engineers) are allowed to the final round after a quotation of the jury. The engineers with the highest score win the ie-net-prizes.
Congratulations to our alumni Florence Muller and Kristýna Holková!
https://www.ugent.be/ea/nl/actueel/nieuws/ie-net-prijzen-florence-muller
ETRO was highly visible and omni-present at the HealthTech Brussels event hosted by FARI, showcasing cutting-edge AI expertise in health. We hope the networking opportunities helped create valuable new connections with the entrepreneurs and clinicians who attended.
On March 6th 2024 at 16::00, Thomas Lapauw will defend their PhD entitled “TAUCAM: A HIGH-SPEED TIME-GATED CAMERA FOR FLUORESCENCE LIFETIME IMAGING”.
Everybody is invited to attend the presentation in room D.2.01, or digitally via this link.
In the field of medical imaging, there is an ever-ongoing search for new ways to image tissue in less invasive ways to create more contrast and get more information about the biological processes that are happening. Fluorescence imaging has gained much interest due to its safety, low cost, and high sensitivity. This is especially the case in the field of preclinical research with small animals, where a lot of research is being done towards the development of targeted fluorescent contrast agents and the clinical translation thereof.
Fluorescence intensity imaging depends on many variables: concentration, absorption, scattering, illumination power, … By using the inherent temporal behavior of the fluorophores, the lifetime, some of these issues can be mitigated, and additional information can be gained. This fluorescent emission is very faint and happens within a few hundred picoseconds to a few nanoseconds after excitation, this timescale makes measuring lifetime challenging.
This work presents the development of the tauCAM, a widefield highspeed time-gated camera, intended for widefield fluorescence-lifetime imaging in the NIR-I band. The tauCAM uses a watercooled 64×64 pixel CAPS array based on our proprietary Current-Assisted Photonic Sampler (CAPS) pixel. The hardware development, (embedded) software, and the related engineering choices are covered in detail, in addition to the characterization of different performance aspects of the tauCAM.
The realization of this camera and software framework around it enables a whole slew of new applications and research opportunities aside from fluorescence lifetime imaging, ranging from timeresolved spectroscopy and time-domain multiplexed RGB; to the development of targeted fluorescent dyes and studying lifetime modulation in relation to binding status and environment.
Bachelor students in their last year of study can apply for the program with the condition to successfully finish their Bachelor studies before the start of the academic year.
Pratap Renukaswamy presented a live demo of his FMCW radar at ISSCC 2023
