Dr. Prof. Jonathan Costa
Prof. Dr. Jonathan Costa is the Program Director for the BSc in AI & Sustainable Technologies and the MSc in Sustainability, Innovation and Technology at Tomorrow University. He is also a professor of Data Science & AI. He earned his PhD in Physics from Imperial College London, specializing in Particle Physics, and has made significant contributions at CERN. Dr. Costa's research has focused on particle collider data analysis and dark matter particles, with publications in top journals like The European Physical Journal C. His expertise in these areas has driven forward our understanding of new physics phenomena. As an educator, Prof. Costa has taught data science, AI, Python programming, and physics applied to engineering. His innovative teaching methods and commitment to student engagement have led to improved learning outcomes and high levels of satisfaction. In his professional career, Dr. Costa has led curriculum development and data literacy initiatives, providing mentorship and training across various industries. His work is recognized for effectively bridging complex concepts with practical applications. With a dedication to advancing knowledge and fostering educational excellence, Prof. Dr. Jonathan Costa continues to inspire the next generation of scientists and data professionals.
Prof. Dr. Jonathan Costa's research spans a diverse array of scientific domains, encompassing solar physics, soil physics, and high energy physics. His work in solar physics involves analyzing solar phenomena and their impact on space weather, contributing to our understanding of the Sun's behavior and its effects on Earth. In soil physics, he has conducted studies on soil mass attenuation coefficients and bulk density evaluation, providing insights into soil properties and their implications for agriculture and environmental science. His high-energy physics research, conducted at renowned institutions such as Imperial College London and CERN, focuses on particle collider data analysis and dark matter particles, driving forward our comprehension of fundamental particles and the universe's underlying structure. Through this multifaceted research, Dr. Costa bridges multiple scientific disciplines, advancing knowledge and fostering interdisciplinary collaboration.
Journal articles
- Global analysis of dark matter simplified models with leptophobic spin-one mediators using MasterCode - The European Physical Journal C · Nov 1, 2019
- Likelihood analysis of the pMSSM11 in light of LHC 13-TeV data - The European Physical Journal C · Mar 1, 2018
- Likelihood analysis of the sub-GUT MSSM in light of LHC 13-TeV data - The European Physical Journal C · Feb 1, 2018
- Likelihood analysis of the minimal AMSB model - The European Physical Journal C · Apr 1, 2017
- Likelihood analysis of supersymmetric SU(5) GUTs - The European Physical Journal C · Feb 1, 2017
- Soil mass attenuation coefficient: Analysis and evaluation - Annals of Nuclear Energy, Feb, 2014
- Representative Elementary Length to Measure Soil Mass Attenuation Coefficient - The Scientific World Journal, Jan 2014
- Soil bulk density evaluated by gamma-ray attenuation: Analysis of system geometry - Soil and Tillage Research, May 2013
- Effect of collimator size and absorber thickness on soil bulk density evaluation by gamma-ray attenuation Radiation - Physics and Chemistry, Nov 2012