Geometry Processing, Shape Analysis, Computer Vision, Artificial Intelligence

Iván Sipirán is an Assistant Professor in the Department of Computer Science at the University of Chile, holding a PhD in Computer Science (University of Chile, 2014) and a degree in Computer Engineering (National University of Trujillo, 2006). He serves as Principal Investigator at the National Center for Artificial Intelligence (CENIA), where he leads the research line on Deep Learning for Computer Vision and Natural Language Processing. He has supervised over 30 master's theses and undergraduate projects, and has accumulated more than 2,900 citations on Google Scholar (h-index=23), with publications in high-impact journals such as the International Journal of Computer Vision and Communications of the ACM, as well as top-tier conferences including ICCV and ECCV.
In the area of human capital training, he has taught continuously since 2015 across courses in algorithms, computer graphics, computer vision, and deep learning at both undergraduate and graduate levels, earning recognition as Best Undergraduate Professor at the University of Chile in 2024. He has developed openly accessible educational materials on GitHub, a data structure visualization library published on PyPI, and a YouTube channel with over 39,000 views. His academic experience spans universities in Chile, Peru, and Germany, with sustained research funding through FONDECYT, CONCYTEC, and CENIA grants.

Iván Sipirán has demonstrated a sustained commitment to knowledge dissemination and technology transfer across scientific, cultural, and public audiences. He has delivered plenary talks and invited lectures at leading international venues, including the LatinX Workshop at ICCV and the Eurographics Workshop on Graphics and Cultural Heritage, as well as at universities and research centers across Chile, Peru, Brazil, and France. He has authored science outreach articles in the Bits de Ciencia journal and maintains an active public presence through media interviews, social networks, and a YouTube channel with over 39,000 views, making advanced topics in artificial intelligence and computer vision accessible to broad audiences.
On the technology transfer side, he has developed and deployed open-source software tools with direct societal impact, including SymArch, a geometric processing platform implemented at the Museo Larco in Peru for the analysis of archaeological artifacts, and Data-Driven-CH, an AI-based restoration tool deployed at the Museo Josefina Ramos de Cox. His research has been featured extensively in national and international media, and he has actively collaborated with cultural institutions, agricultural organizations, and public agencies to apply AI solutions to challenges in heritage conservation, wildfire detection, and agricultural optimization. In 2025, he was the sole Latin American researcher invited to a Schmidt Sciences Foundation workshop at the Sorbonne University in Paris, reflecting the international recognition of his work at the intersection of artificial intelligence and the humanities.