Agenda

Microelectronics colloquium

• Thursday, 25 April 2024
• 15:30-16:30
• EEMCS, Snijderszaal

Regenerative Bioelectronic Technologies - #ReBooT

Regenerative Bioelectronic Technologies - #ReBooT

'Regenerative Bioelectronics' merges insights from two distinct research domains: stem cell-based regenerative medicine and bioelectronic engineering. The great therapeutic potential of stem cells to give solutions to untreated neurological disorders, has recently been verified by clinical trials in humans. In parallel, groundbreaking advancements in electronic technology have enabled unprecedented interfaces between biology and electronics. In particular, new opportunities arise with the advent of electrically conducting polymers. These electronic materials are soft, highly biocompatible, and enable the creation of organic bioelectronic devices that integrate seamlessly with human body to record or stimulate biological activity. This lecture will highlight our ongoing research efforts on regenerative bioelectronics, and outline our plan on how we aim to control the fate of stem cells, electrically and optically, for treating incurable neurological diseases.

PhD Thesis Defence

• Monday, 6 May 2024
• 12:30-14:00
• Aula Senaatszaal

Multi-agent exploration under sparsity constraints

PhD Thesis Defence

• Tuesday, 21 May 2024
• 10:00-11:30
• Aula Senaatszaal

Conferences

• Monday, 27 -- Tuesday, 28 May 2024
• Aula, TU Delft

44th Benelux Symposium on Information Theory and Signal Processing (SITB'24, Delft)

PhD Thesis Defence

• Tuesday, 18 June 2024
• 15:00-16:30
• Aula Senaatszaal

Model-based feature engineering of atrial fibrillation

Conferences

• Monday, 24 June 2024
• Aula, TU Delft

7th Graph Signal Processing Workshop (GSP 2024)

Following a series of successful workshops since 2016, we are pleased to announce that the 7th Edition of the Graph Signal Processing Workshop will be held June 24-26, 2024 in Delft, The Netherlands (campus TU Delft). The workshop will provide a warm welcome to experts and practitioners from academia and industry in the field of graph signal processing (GSP). The goal of GSP is to generalize classical signal processing and statistical learning tools to signals on graphs (functions defined on a graph).

PhD Thesis Defence

• Wednesday, 10 July 2024
• 10:00-12:30
• Aula Senaatszaal

Low-temperature nanoparticles sintering technology in heterogeneous integration