âSignal Processing in the AI eraâ was the tagline of this yearâs 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., âDesigning Transformer Networks for Sparse Recovery of Sequential Data Using Deep Unfoldingâ (https://ieeexplore.ieee.org/abstract/document/10094712)
- Yang X. et al., âRelevance Propagation through Deep Conditional Random Fieldsâ (https://ieeexplore.ieee.org/abstract/document/10095075)
- Stergiou A. et al., âPlay it back: Iterative attention for audio recognitionâ (https://ieeexplore.ieee.org/abstract/document/10096532, developed at the University of Bristol)
Knowledge Engineering in Diagnostic Imaging â a huge project on AI in medical image analysis, the foundation of the internal ETRO ICT computer network.
Tom Godden, Thibaut Vandervelden and Ruben De Smet (ETRO) participated to the FENTEC Crypto Hackathon This is an end project of a H2020 from ao. KUL en Atos. The team ended on the second place and won 2000âŹ.
In the article âAre we ready to place our destiny in the hands of thinking machinesâ, Prof. Nikos Deligiannis explains the key to understanding Artificial Intelligence (AI) to enhance confidence in it. To make AI trusted by the larger public and not only by specialists, it has to be focused on humans, scalable,verifiable … and results should be immediately available (fast).
The Green Energy Park in Zellik was recently officially openend. ETRO will be part of this initiative in the context of Hospital of the Future, together with the UZ Brussels. This unique collaboration between technological and medical experts makes it possible to develop the sustainable care and technological infrastructure of the future.
In concrete: ETRO will apply a complex wireless net of sensors in an experimental area to view at all times how air streams and air quality evolves in the operation quarter. The OP-quarter will be CO2 neutral. Data will be collected about temperature, humidity, CO2 concentration with wireless sensors. During this process, permanent attention goes also to the wellbeing of the patient and hospital staff. A real trans disciplinary challenge where UZ Brussels and ETRO will play a pioneering role in the area.
…and ETRO.RDI colleagues have brand new stands.
- Acoustic Painting
- An Urban Climate Model using AI
- Crypto Escape Room
- Discover what light says about you!
Do not miss the opportunity to visit us from 13th – 15th of October
@ Tour & Taxis, sheds 1&2, BrusselsÂ
Two guest lecturers of the Hanoi University of Science and Technology (HUST) will be presenting their work On Friday 05/08 at 10 AM, in room K.4.52. You are all cordially invited to attend.
ANSA (Advanced Networks and Smart Applications) is the research group composed of 08 professors and researchers, and quite large number of master students, undergraduates, and several PhD students.
The research group has the main interest focusing at advanced communication technologies and their applications in various fields, e.g. smart city, intelligent transportation systems, smart agriculture, environment monitoring and management,…
Several current topics includes cloud computing, edge computing, SDN-based architecture for task scheduling in edge-cloud computing, Quality of Experience, Network Security, Virtual Reality, Internet of Things (Zigbee, LoRa, NB-IoT), IoV (cellular-based and DSRC-based V2X).
Presenter: Prof. Thanh Nguyen, Dean of School of Electrical and Electronic Engineering (SEEE) and a senior member of ANSA research group. He will give an introduction of the lab and interesting topics.
Presenter: Prof. Nguyen Huu Thanh
School of Electrical and Electronic Engineering
Hanoi University of Science and Technology
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The project aims to provide an Internet of Things (IoT) based parking monitoring and management solution for city-owned parking fields on streets. The system will be an integral part of the Intelligent Transportation System, in which the technology of AI, big data, IoT will be applied to provide innovative services related to transportation and traffic management and enable the user to be better informed and make âsmarterâ use of transport.
After nearly 3 years of running the project, various outcomes have been achieved. They include the design and implementation of detector devices, smart IoT gateways supporting various communication interfaces (LoRa, 4G, Wifi, Ethernet). Other alternative solution includes cameras and a lightweigh algorithm to detect and quantify free parking lots. Several theoretical results in Vehicular Fog Computing topic, published in a Q1 journal paper, will be presented.
Presenter: Dr. PhĂčng Kiá»u HĂ
School of Electrical and Electronic Engineering
Hanoi University of Science and Technology
