Using interdisciplinary methods, we will propose innovative strategies to address socioeconomic challenges around commuting and social mobility.
Jairo Alejandro Gómez Escobar
Jairo Alejandro Gómez Escobar is a postdoctoral researcher within the Research Group in Spatial Economics (RiSE) at EAFIT University, where he is leading a project in urban footprint growth in Latin American cities by combining machine learning algorithms with satellite images. His research interests include digital image processing, computer vision,machine learning, deep learning, and the Internet of Things, focusing on the development of intelligent products and services.
Jairo completed his studies in Electronic Engineering at Universidad del Valle (Colombia), receiving the best graduate award in 2005. He received a Ph.D. in Engineering from the Australian Centre for Field Robotics (ACFR) at the University of Sydney in 2011. Between 2016 and 2018 he worked as a Postdoctoral Research Fellow at the Center of Excellence and Adoption on the Internet of Things (CEA-IoT) in Colombia, leading the research line in agro-industry and environment.
Jairo has worked as a lecturer and researcher at Universidad de San Buenaventura, Universidad Autónoma de Occidente, and Pontificia Universidad Javeriana in Cali (Colombia). He is a professional member of the Institute of Electrical and Electronic Engineers (IEEE), the Robotics and Automation Society (RAS), the Association for Computing Machinery (ACM), and the Colombian Association of Engineers (ACIEM).