Miguel Camacho-Ruiz – Leading Researcher in Tourist events classification, Artificial Intelligence
Mr Miguel Camacho-Ruiz, a distinguished academic and researcher in the field of renewable energy, Academician/Research Scholar Universidad Complutense de Madrid, Spain. Her academic journey has been marked by a profound dedication to Tourist events classification, Artificial Intelligence into Social Media and Digital Marketing applications.
 đEducation:
He holds a Master of Science in Electrical and Electronics Engineering from the Illinois Institute of Technology, awarded in 2012. Additionally, he completed a program equivalent to a Bachelor’s and Master’s degree in STEM (Science, Technology, Engineering, and Mathematics) in Telecommunications Engineering at the Universidad PolitĂ©cnica de Madrid in 2012.
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Experience:Â
He is currently serving as the Chief Technology Officer (CTO) at SMARTVEL since March 2016, where he plays a key role in steering technological advancements. Simultaneously, he holds the position of Director at BIG DATA INTERNATIONAL CAMPUS, overseeing operations from April 2021 to March 2023. His academic leadership is evident as the Director AcadĂ©mico for several master’s programs since September 2018 at an undisclosed institution. Prior to this, he served as a Lecturer at MBIT SCHOOL from May 2018 to June 2021, contributing to the education sector. In February 2017, he founded ATALAYA TECHNOLOGIES, where he currently serves as the CEO, focusing on Artificial Intelligence and Data Science Development. His earlier experience includes a significant role at CHANNELIQ, where he held various positions, culminating in the role of Site Manager for Europe and other regions from January 2012 to March 2016. In this capacity, he efficiently managed a bilingual team of approximately 10 individuals based in Madrid and Chicago.
Publications:Â
- Camacho-Ruiz, M., Carrasco, R. A., Fernåndez-Avilés, G., & LaTorre, A. (2023). Tourism destination events classifier
based on Artificial intelligence techniques. Applied Soft Computing, 148, 110914