Biography
Roilhi Frajo Ibarra-Hernández received the BEng degree in Electronics and Telecommunications from Universidad Autónoma de Zacatecas (UAZ) in 2012, the MSc in 2015, and the PhD degree in Telecommunications from the Center of Scientific Research and Higher Education of Ensenada (CICESE) in 2019.
During his doctoral studies, he undertook a research stay at the INRIA Research Center in Rennes, France, joining the PANAMA team. In 2021, he joined the TZUKU project as a postdoctoral researcher, focusing on computing methods for behavioral context analysis in rescue dogs. From 2022 to 2025, he has been a postdoctoral researcher with the Faculty of Sciences at the Universidad Autónoma de San Luis Potosí (UASLP). He is currently a full-time associated professor at the Telecommunications Department of the Faculty of Engineering of the Autonomous University of Mexico (UNAM), specializing in Artificial Intelligence and Machine Learning methods for Signal Processing, 6G and Communication Systems, physical layer signal detection, and signal processing.
Research Interests
Education & Experience
Research and teaching in the field of Telecommunications, focusing on Artificial Intelligence and Machine Learning methods for Signal Processing, 6G and Communication Systems, physical layer signal detection, and signal processing.
Research on Machine Learning methods for Reconfigurable Intelligent Surface (RIS)-assisted 6G communication systems.
Research in computing methods for the analysis and classification of behavioral contexts in rescue and assistance dogs.
Signal processing methods for automatic audio classification based on sparse representations.
Awards & Achievements
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National System of Researchers
SNI Candidate Level Award (Since 2022)
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Fellowship
Estancias Postdoctorales por México SEHCITI (2022-2025)
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Fellowship
Proyecto TZUKU Ciencia de Frontera Postdoctoral Fellow (2021-2022)
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Doctoral Visit Scholarship
Bourse de Mobilité des Doctorants / Beca Mixta CONAHCYT (2018)