PhD student at KAUST leveraging machine learning and radar systems to enhance patient procedures, under the guidance of Prof. Mohamed-Slim Alouini at the Communication Theory Lab (CTL).
Biography
José Maria earned his Bachelor of Engineering in Electronic Engineering, with a minor in Telecommunications, from Universidad Peruana de Ciencias Aplicadas (UPC) in Lima, Peru, in 2018. During his undergraduate studies, he was awarded a partially funded scholarship in 2013. In 2018, he received funding for a research project through the VII Annual Research Incentive Competition at UPC, which led to the publication of a paper and a presentation at the XXII Symposium on Image, Signal Processing, and Artificial Vision (STSIVA) in 2019.
José Maria began his career with internships at IBM Peru, first as a Computer Specialist and later as a Software Developer. His interest in the Internet of Things (IoT) grew, leading him to become a speaker at various universities, where he taught IoT and Machine Learning. He focused on using single-board computers to connect multiple devices and leverage environmental data. José Maria has worked on several research projects at UPC, including a notable Digital Image Processing project aimed at developing a reliable method for diagnosing health issues in coffee plants using machine learning in Python, providing early diagnosis tools for cultivators.
Research Interests
José Maria is proficient in Python, Java, and machine learning technologies. His research interests lie in leveraging machine learning to enhance communication methods, with a focus on coding and modulation, Smart Grid technologies, and satellite networks. He is passionate about the Internet of Things (IoT) and has shared his knowledge as a speaker at various universities, teaching IoT and Machine Learning. His sessions emphasize the use of single-board computers for data-driven device connectivity, showcasing practical applications of these technologies.
Professional Profile
Service Contributions
- Public Outreach
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Students for Sustainability, 2024 - present
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- Service to the Institution
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Mentor for TinyML Workshop, 2024
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Awards and Distinctions
- VII Annual Research Incentive Competition, Universidad Peruana de Ciencias Aplicadas, 2018
Professional Memberships
- Student, IEEE, 2021 - 2024
Qualifications
Education
- Bachelor of Science (B.S.)
- Electrical and Electronic Engineering, Universidad Peruana de Ciencias Aplicadas, Peru, 2018
- Master of Science (M.S.)
- Electrical and Computer Engineering, King Abdullah University of Science and Technology, Saudi Arabia, 2023
Licenses and Certifications
- Scrum Developer Certificated, Scrum.org, Sat, Jun 17 2023
- Data Science Professional Certificated, IBM, Sat, May 21 2022
- Microsoft Azure Fundamentals, Microsoft, Tue, Jan 4 2022
- AWS Certified Cloud Practitioner, Amazon, Wed, Mar 23 2022
- Spanish
- Native or bilingual proficiency
- English
- Full professional proficiency
- Italian
- Limited working proficiency
Languages
Quote
KAUST is not only a place where knowledge is discovered and shared, but it's a place where different cultures can interact with each other for a better future. Communication is an area of research with a wide variety of subfields that could help discover new ways to transmit and bring people closer.
Selected Publications
- Gomez, J. M. S., Ramírez, J. ., Vives, L. ., & Kemper, G. . (2019). An Algorithm For Detection of Nutritional Deficiencies from Digital Images of Coffee Leaves Based on Descriptors and Neural Networks. Bucaramanga, Colombia: IEEE. https://doi.org/10.1109/STSIVA.2019.8730286 (Original work published 2019)
Related People
Academic Advisors
Mohamed-Slim Alouini
- Al-Khawarzmi Distinguished Professor, Electrical and Computer Engineering