Carlos is a physicist with a Ph.D. in Physics gained in 2022 at the University of Valencia (UV), Spain, and he is currently a Postdoctoral Researcher at Drexel University, Department of Architecture, Design & Urbanism, Philadelphia (US). During his Ph.D. he has collaborated with different scientists from universities such as the University of Pisa and the National Institute for Nuclear Physics (INFN), Italy, and the Institute for Particle Physics Phenomenology (IPPP), Durham University, United Kingdom. He has international experience gained during his Ph.D. as a visiting scholar at the IPPP, Durham University, United Kingdom. Currently, he is actively collaborating with experts from the Department of Electrical and Computer Engineering at the University of Texas at San Antonio (UTSA), the School of Architecture and Planning, Klesse College of Engineering and Integrated Design at UTSA, the Department of Design and the California Lighting Technology Center (CLTC) at UC Davis, and the School of Biomedical Engineering, Science and Health Systems at Drexel University. His research activities focus on analyzing indoor air quality and thermal comfort, with an emphasis on health and well-being. Moreover, he investigates the implementation of Artificial Intelligence (AI) methods and predictive modeling to assess indoor air quality and enable real-time monitoring of environmental conditions in buildings, as well as in future climate scenarios. Additionally, he is interested in evaluating the actual and future performance of structures, whether they are newly built, existing, retrofitted, or historical, and in optimizing building performance with sustainable measures and innovative technologies based on AI and data-driven approaches.
CV [PDF]
Ph.D. in Physics, University of Valencia UV (Spain)
M.Sc. in Advanced Physics, University of Valencia UV (Spain)
B.Sc. in Physics, University of Valencia UV (Spain)
His research activities focus on analyzing indoor air quality and thermal comfort, with an emphasis on health and well-being. Moreover, he investigates the implementation of Artificial Intelligence (AI) methods and predictive modeling to assess indoor air quality and enable real-time monitoring of environmental conditions in buildings, as well as in future climate scenarios. Additionally, he is interested in evaluating the actual and future performance of structures, whether they are newly built, existing, retrofitted, or historical, and in optimizing building performance with sustainable measures and innovative technologies based on AI and data-driven approaches.