João Phillipe Cardenuto received Computer Science and Computer Engineering degrees from the University of Campinas (UNICAMP), where he also completed his PhD in Computer Science in 2024. During his doctoral studies, he conducted a research internship at Google Research and an academic collaboration at Loyola University Chicago (LUC). His research was recognized with the Google Latin America Research Award (LARA). He is currently a postdoctoral researcher at LUC, focusing on Digital Forensics applied to Scientific Integrity. He also collaborates with the RECOD.AI lab at UNICAMP and other research groups dedicated to detecting scientific fraud and identifying misinformation in social networks and science. His primary research interests include digital forensics, machine learning, and advancing scientific integrity. (Source: Lattes Curriculum)
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In this research, we are mainly aimed at answering the question of how to find possible relationships among images from different moments in time (e.g., how different image pieces contribute to create a composite one). This research will allow the development of a series of solutions to analyze the provenance of a visual asset allowing us to check its veracity and to pinpoint the pieces t…
Recently, due to the rising number of scientific papers being published, the number of cases of misconduct in the scientific community is increasing, generating financial investments and professional disappointments by irreproducible research. This project aims to assist the scientific community, verifying the integrity of papers, by automating forensic processes in their images, through …
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