Anderson Rocha (IEEE Fellow) is Full-Professor of Artificial Intelligence and Digital Forensics at the Institute of Computing, University of Campinas (Unicamp), Brazil. His main interests include Artificial Intelligence, Digital Forensics, Reasoning for Complex Data, and Machine Intelligence. He is the Head of the Artificial Intelligence Lab., Recod.ai, at Unicamp and was the former Director of the Institute for the 2019-2023 term.He is an elected affiliate of the Brazilian Academy of Sciences (ABC) and the Brazilian Academy of Forensic Sciences (ABC). He is a three-term elected member of the IEEE Information Forensics and Security TechnicalCommittee (IFS-TC) and a former chair of such committee. In 2023, he was elected again to the IFS-TC chair for the 2025-2026 term.He has actively been an editor of important international journals and the chair of key conferences in Al and digital forensics.He is a Microsoft Research and a Google Research FacultyFellow, important academic recognitions given to researchers by Microsoft Research and Google. In addition, in 2016, he was awarded the Tan Chin Tuan (TCT) Fellowship, a recognition promoted by the Tan Chin Tuan Foundation in Singapore. Since 2023, he is also an Asia Pacific Artificial Intelligence AssociationFellow. He has been the principal investigator of several research projects in partnership withpublic funding agencies in Brazil and abroad and national and multi-national companies, having already filed and licensed several patents. He is a Brazilian CNPq research scholar (PQ1C). He is ranked among the Top 2 of research scientists worldwide, according to PlosOne/Stanford and Research.com studies. Finally, he is now a LinkedIn Top Voice in Artificial Intelligence for continuously raising awareness of Al and its potential impacts on society at large. (Source: Lattes Curriculum)
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The Horus Project is an ambitious and multidisciplinary endeavor aimed at contributing to the landscape of artificial intelligence (AI) research and to digital media trust. Comprising five distinct and interconnected research lines --- robust feature learning (A), open-set recognition (B), self-supervised learning (C), multi-modality learning (D), and fusion techniques (E) --- the project…
The present proposal is divided into four research lines, namely: 1) Production Optimization (RL1) - Reservoir Modeling; 2) Production Optimization (RL2) - Artificial Lift and Flow Assurance; 3) EOR/IOR (RL3); and 4) Water Handling (RL4). In the Reservoir Modeling plan, the initial application (first years of project) will be in a reservoir with the characteristics of the Peregrino field …
Executive SummaryThis project aims at renewing one server that makes up our computational infrastructure processing cluster at the Institute of Computing, Unicamp, for managing the Data Center. The objective is to acquire a server to replace some servers that are more than 10 years old. This proposal aims to benefit all users of the institute, with a direct impact on the research, teachin…
This project´s purpose is the conclusion of the Data Center infrastructure for the Institute of Computing of the University of Campinas - Unicamp, which comprehends the installation of an access control and alarm monitoring system, fire alarm system, switches and GBICs for the implementation of an architectural networking of 10GBs, and the acquisition of two new servers for the Institutes…
In this research project, we focus on synchronizing specific events in space and time (X-coherence), fact-checking, and mining persons, objects and contents of interest from various and heterogeneous sources including - but not limited to - the internet, social media and surveillance imagery. For that, we seek to harness information from various media sources and synchronize the multiple …
(Only some records are available in English at this moment)
The Horus Project is an ambitious and multidisciplinary endeavor aimed at contributing to the landscape of artificial intelligence (AI) research and to digital media trust. Comprising five distinct and interconnected research lines - (A) robust feature learning, (B) open-set recognition, (C) self-supervised learning, (D) multi-modality learning, and (E) fusion techniques - the project see…
The Horus Project is an ambitious and multidisciplinary endeavor aimed at contributing to the landscape of artificial intelligence (AI) research and to digital media trust. Comprising five distinct and interconnected research lines - (A) robust feature learning, (B) open-set recognition, (C) self-supervised learning, (D) multi-modality learning, and (E) fusion techniques - the project see…
The Horus Project is an ambitious and multidisciplinary endeavor aimed at contributing to the landscape of artificial intelligence (AI) research and to digital media trust. Comprising five distinct and interconnected research lines - (A) robust feature learning, (B) open-set recognition, (C) self-supervised learning, (D) multi-modality learning, and (E) fusion techniques - the project see…
(Only some records are available in English at this moment)
Our ultimate objective in this research is to infer the chronological ordering of a pair of related images. Given a pair of images with the same semantic context, we aim at pinpointing which one belongs to an earlier moment in time, no matter their capture conditions or what scene they depict. (AU)
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…
In this project, we are interested in identifying the most important topics present in a given dataset; finding sub-themes within the data (structures) that are of interest according to a given query; determining whether or not two pieces of information (visual and textual) refer to the same subject; determining involved actors (who is present in the mentioned information pi…
(Only some records are available in English at this moment)
Digital media is the dominant form of communication in modern society but manipulating these multimedia assets can easily be done with simple and inexpensive tools. Moreover, credible manipulations can be used to fabricate more believable multimedia stories than those relying on text alone. Although falsified media is not a new phenomenon, social media has been effectively used to distrib…
When a forensic event of large scale happens, immediately visual content related to it is shared on social networks. These data might be important for a posterior forensic inspection, given that they can depict different views in different moments of the event. However, an analysis of social media imagery related to an event might be harmed by the abundant number of irrelevant items retri…
Due to the significant impact of fake news, many researchers are devoted to studying automated fact-checking. However, fact-checkers are concerned with machine-based black-box solutions that try to automate the entire fact-checking pipeline. Nonetheless, humans cannot do the job alone either, as the billions of news pieces and social media posts are generated every day. This project aims …
(Only some records are available in English at this moment)
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| 6 / 6 | Ongoing scholarships in Brazil |
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| 42 / 41 | All research grants and scholarships |
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