Juan Carlos Perafan Email and Phone Number

Assistant Research Scientist The Advanced Research Computing at Hopkins (ARCH) Johns Hopkins University - 2024/04 - Present● Managing and supporting batch and workload management systems, including SLURM, Open-OnDemand, XDMoD, and ColdFront.● Troubleshooting failed jobs, implementing policies, and investigating new features and services within these systems.● Providing support for scientific application languages such as C, C++, and Python, including code development, debugging, optimization, and installation.● Optimizing resource utilization through the installation and support of scientific applications.Associate Professor Universidad Autónoma de Occidente (Cali - Colombia) - 2024/03● Teaching courses in the undergraduate programs in the Faculty of Engineering; courses include Signals and Systems, Dynamic Systems, Control Systems, Signals and Audio Processing, and Image Processing. ● Teaching courses in the graduate programs in the Faculty of Engineering; courses include automatic control theory, computer vision, and computer vision with deep learning. ● Student academic advisor (undergraduate and graduate ).My research interests lie in the areas of Computer Vision and Machine Learning applied to several fields including but not limited to mobile robotics, vehicular transport, healthcare, and precision agriculture.More recent research projects:Barrios 4D (08/2020 - Present)Working in collaboration with the Senseable City Lab (MIT) we are conducting a comprehensive morphometric analysis of Siloe (an informal settlement in Cali Colombia). The analyzer of Accident Patterns in Road Corridors (08/2021 - 03/2022)Participation in the international call Road Safety Lab of the Bogotá District Mobility Secretariat, where we proposed a platform to analyze accident patterns in road corridors. Aerial robotic perception system for surveying and navigation applications (02/2018 - 01/2020)Lead researcher. Selecting and assembling different parts (sensors, single board computer, UAV, batteries) for the aerial robotic system. Selecting algorithms for the creation of DEMs and 3d Maps. Training a YOLO V3 algorithm to detection of vehicles, trucks, and motorcycles. Building a topographic map using partial and multisensorial information.