Agenda

Dutch Ultra Low Power Conference

The medicine of the future you’ll need to take only once, and it’s a bioelectronic one

Wouter Serdijn

The Dutch Ultra Low Power Conference brings together Belgian and Dutch professionals and companies involved in the development and application of devices with ultra low power technologies. It targets engineers, designers and technical managers in the advanced field of energy harvesting and ultra low power and energy-efficient designs. The keynote will be given by Wouter Serdijn, professor of bioelectronics at Delft University of Technology.

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Overview of Conferences

Agenda

MSc SS Thesis Presentation

Guillermo Ortiz Jiménez

Multidomain Graph Signal Processing: Learning and Sampling

Sparse sampling for tensors and graphs

MSc SS Thesis Presentation

Haidong Hao

Vessel Layer Separation of X-ray Angiographic Images using Deep Learning Methods

Fast solutions based on a fully convolutional network (FCN) trained by conventional loss or adversarial loss.

MSc TC Thesis Presentation

Feng Ma

Respiration monitoring based on information fusion from Impedance pneumography and Electrocardiography

With known respiration information, corresponding parameters in both time domain (respiratory rate) and frequency domain (respiratory power) can be extracted to indicate the health condition.

Signal Processing Seminar

Pim van der Meulen

Low-cost sparse sensing designed for specific tasks

MSc TC Thesis Presentation

Lichen Yao

Bluetooth Direction Finding

This thesis project focuses on the algorithm developement and practical considerations for Indoor Direction Finding feature that will be incorporated in the next generation Bluetooth standard.

Signal Processing Seminar

Tuomas Aittomäki

Tutorial on: Sum-of-squares Representation in Optimization and Applications in Signal Processing

Signal Processing Seminar

Krishnaprasad Nambur Ramamohan

Signal processing algorithms for acoustic vector sensors

Signal Processing Seminar

Farnaz Chamanzadeh

Accurate timing and positioning through an optical-wireless distributed time and frequency reference

Signal Processing Seminar

Aydin Rajabzadeh

manufacturing defect detection