Post-doctoral fellow
Stelian.Camaraditpinto@liu.edu
Education:
Ph.D., University of Paris-Saclay – France, 2022
MSc., Cranfield University – United Kingdom, 2018
MEng, ESTIA – France, 2018
Specialties:
Biomedical engineering
Dr. Camara Dit pinto joined the Long Island University – Brooklyn, school of computer science, digital engineering and AI as a postdoctoral fellow in 2023. Prior to joining LIU Brooklyn, Dr. Camara Dit Pinto was finishing his PhD thesis on the use of digital twins for decision support in the oil-and-gas domain.
During is PhD thesis, Dr. Camara Dit Pinto studied the design of the digital twin paradigm as a way to support situation awareness in the case of complex system management. His research, conducted with Total Energies, focused on bridging the gap between technology design and human situation awareness. Following the precepts of Human System Integration, Dr. Camara Dit Pinto implemented a novel design methodology and applied it to the design of an oil-and-gas platform control room. Motivated by the potential of such tools and methodology, he crossed to the biomedical field helping design similar tools to support health management.
Looking to increase his knowledge of digital twin design, Dr. Camara Dit Pinto started a postdoctoral position at LIU to study the design of organ virtual twins. Mostly focused on the liver, Dr. Camara Dit Pinto work gave birth to implantation of a virtual lobule model – first step to a full virtual Living Liver. This novel model opens the way to virtual drug screening and is a first step towards human digital twin and clinical decision support. He is now pursuing his work towards the improvement of the Living Liver virtual twin, adding more physiological phenomena such as lymph dynamics and helping broadening clinicians’ understanding of the liver physiology in partnership with Baylor College of Medicine. Looking to increase his knowledge of digital twin design, Dr. Camara Dit Pinto started a postdoctoral position at LIU to study the design of organ virtual twins. Mostly focused on the liver, Dr. Camara Dit Pinto work gave birth to implantation of a virtual lobule model – first step to a full virtual Living Liver. This novel model opens the way to virtual drug screening and is a first step towards human digital twin and clinical decision support. He is now pursuing his work towards the improvement of the Living Liver virtual twin, adding more physiological phenomena such as lymph dynamics and helping broadening clinicians’ understanding of the liver physiology in partnership with Baylor College of Medicine.
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LIU is an EO/AA/ADA educator and employer and does not discriminate on the basis of race, color, national and ethnic origin, or religion, sex, sexual orientation, gender identity or expression, age, physical or mental disability, marital or veteran status in administration of its educational policies, admissions policies, scholarship and loan programs, and athletic and other school-administered programs. LIU admits students of any race, color, national, and ethnic origin to all the rights, privileges, programs and activities generally accorded or made available to its students.