Fabricio Flores



My graduate education at Carnegie Mellon University, was primarily focused on machine learning techniques and information technology for smart buildings. I worked on detecting humans in indoor environments using object detection techniques like Single Shot Multibox Detector (SSD) and YOLO applied to depth images. Human occupancy information is being collected by a network of devices that are connected to internet and monitor particular locations with the presence of people. The MQTT IoT protocol is used for this task.

During my undergraduate education in applied mathematics at Escuela Politécnica Nacional, I worked on numerically solving partial differential equations (PDEs) that model biological and physical processes. In particular, I explored the equations that govern the dynamics of the electrical pulse propagation in the myocardium. Abnormal beating pattern in the heart is consequence of electrical pulses that happen fast, slow, or erratically.

Carnegie Mellon University | USA


MSc Advanced Infrastructure Systems

Carnegie Mellon University | USA


MSc Computational Mechanics

Escuela Politécnica Nacional | Ecuador


BSc Mathematics