Daniel Nicolau and Nicolas Vasconcellos, master’s students in Electronic Engineering at the Polytechnic Institute of Leiria, and our researchers, were awarded two merit grants from the IEEE Signal Processing Society.
During his final undergraduate project, entitled Smart Compression of Medical Images, Daniel proposed a new prediction scheme for a lossless compression framework for multimodal medical image pairs, resulting in a conference paper accepted at EUVIP 2023. That same year joined the Instituto de Telecomunicações, with a research grant in the CoMBINNe project, led locally by our researcher Lucas Arrabal Thomaz (see more). He is co-founder and current vice-president of Portugal's first IEEE Signal Processing Society Student Branch Chapter, based at the Polytechnic of Leiria.
Nicolas Vasconcellos' research interests focus on the application of neural networks for medical image analysis and, also, received a research grant in the scope of CoMBINNe project. He is president and founder of the first IEEE Signal Processing Society Student Branch Chapter at the Polytechnic of Leiria and in Portugal.
For Daniel, “the award of this grant from the IEEE Signal Processing Society represents an important recognition of the work I have done in this area.” And, he adds: “his distinction reinforces the quality of the research being developed at the Polytechnic of Leiria and the Institute of Telecommunications, demonstrating that we are contributing significantly to the advancement of the state of the art.”
For Nicolau, this grant “represents a significant recognition of the potential and dedication of students in the area of signal processing. This distinction is not only a financial endorsement but also an important vote of confidence in the future of signal processing engineering.”
The IEEE SPS initiative intends to create a bridge between academic training and industry needs, preparing students to face the technological challenges of the future and contribute to the advancement of this crucial area of engineering. The awardees are selected through a rigorous process that assesses not only academic performance, but also leadership potential, extracurricular activities, and genuine interest in the field of signal processing,” notes Nicolas Vasconcellos.
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