Apresentação Pessoal

Bruno Miguel Nunes da Silva.

Completed Doctoral Program in Computer Science from Universidade Nova de Lisboa in 2016. Currently serving as an Adjunct Professor at Instituto Politécnico de Setúbal.

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Beasides teaching, I am a researcher and data scientist with a profound interest in artificial intelligence (AI), machine learning, and data mining. Over the past years, my work has been primarily focused on developing innovative methodologies and frameworks to tackle complex challenges in various domains.

My scientific journey has been characterized by a series of impactful contributions to the field. Notably, I have explored the applications of self-organizing maps (SOMs) in dynamic and non-stationary environments. My research on ubiquitous self-organizing maps for non-stationary data streams, published in the Journal of Big Data in 2015, garnered attention for its novel approach in handling evolving data landscapes.

I have contributed as a reviewer for esteemed journals and conferences, ensuring the quality and rigor of scientific publications in the field. Additionally, I have collaborated on book chapters, sharing insights and methodologies with a broader audience.

Looking ahead, I am enthusiastic about continuing my exploration of AI and machine learning, pushing the boundaries of innovation, and contributing to the advancement of knowledge in the field. I remain committed to interdisciplinary collaboration, seeking opportunities to apply cutting-edge techniques to real-world problems and make meaningful contributions to society.

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CIÊNCIAVITAE: https://www.cienciavitae.pt/portal/FB1E-5676-5A51

ORCID: https://orcid.org/0000-0001-7873-2111

GITHUB: https://github.com/brunomnsilva