Mr. Daniel Reyes García | Brain Tumor | Best Researcher Award

Universidad de Las Palmas de Gran Canaria, Spain

Author Profile

Early Academic Pursuits

Daniel Reyes García embarked on his academic journey at Universidad Las Palmas de Gran Canaria (ULPGC), where he pursued a degree in Computer Engineering from 2016 to 2022. During this period, he demonstrated exceptional dedication and proficiency in various technical subjects, laying a solid foundation for his future career. His commitment to excellence is exemplified by his thesis on "Brain Tumor Automatic Classification By Using Neuronal Networks," for which he received the prestigious grade of 9.9, earning honors for his outstanding scholarly contribution.

Professional Endeavors

His professional journey is marked by a series of impactful roles where he showcased his expertise in software development and engineering. As a Full-stack Developer at Trumpf Gmbh, he made significant contributions to the development of human-machine interfaces for additive manufacturing machinery. His responsibilities included utilizing technologies like .NET, Python, Azure, and Kibana, showcasing his versatility and proficiency across different platforms and frameworks.

Contributions and Research Focus

Throughout his career, He has been deeply involved in cutting-edge technologies, particularly in the realm of AI. His passion for AI is evident in his pursuit of various courses and certifications, including those in Machine Learning, Deep Learning, and Computer Vision. He has also actively engaged in research projects, such as the Digital Twin Project in collaboration with Trumpf Gmbh, where he developed scripts for modeling and simulation using .NET and Siemens Mechatronic Concept Design.

Accolades and Recognition

His exceptional academic performance and professional achievements have garnered recognition and accolades from both academic and corporate spheres. His thesis, earning him honors with a remarkable grade of 9.9, is a testament to his academic prowess and dedication. Moreover, his contributions to the development of analytical reports via Kibana and TeamCity at Trumpf Gmbh underscore his practical skills and expertise in software engineering.

Impact and Influence

His work as a software developer and engineer has had a tangible impact on the organizations he has been a part of. His role in developing a desktop application for reserving office tables during the pandemic demonstrates his ability to leverage technology to address real-world challenges. Additionally, his contributions to projects like the Digital Twin Project have helped advance the capabilities of companies like Trumpf Gmbh in the realm of additive manufacturing.

Legacy and Future Contributions

As He continues to evolve in his career, his legacy lies in his relentless pursuit of knowledge and his commitment to excellence. His expertise in AI, combined with his proficiency in software development and engineering, positions him as a valuable asset in any organization. Moving forward, Daniel's future contributions are poised to make significant strides in the field of AI, where his passion and expertise converge to drive innovation and positive change.

Notable Publications 

Performance of convolutional neural networks for the classification of brain tumors using magnetic resonance imaging
Daniel Reyes , Javier Sánchez


Daniel Reyes García | Brain Tumor | Best Researcher Award

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