Program - Keynotes


Keynote 1: Professor Claudio Silva (New York University, USA)

Cláudio T. Silva is Institute Professor of Computer Science and Engineering at NYU Tandon School of Engineering, and Professor of Data Science at the NYU Center for Data Science. He is also affiliated with the Center for Urban Science and Progress (which he helped co-found in 2012) and the Courant Institute of Mathematical Sciences. He received his BS in mathematics from the Universidade Federal do Ceará (Brazil) in 1990, and his MS and PhD in computer science at the State University of New York at Stony Brook in 1996. Claudio has advised 20+ PhD, 10 MS students, and mentored 20+ post-doctoral associates. He has published over 300 publications, including 20 that have received best paper awards. He has over 26,000 citations according to Google Scholar. Claudio is active in service to the research community and is a past elected Chair of the IEEE Technical Committee on Visualization and Computer Graphics (2015–18). Claudio is a Fellow of the IEEE and has received the IEEE Visualization Technical Achievement Award. He was the senior technology consultant (2012-17) for MLB Advanced Media’s Statcast player tracking system, which received a 2018 Technology & Engineering Emmy Award from the National Academy of Television Arts & Sciences (NATAS). His work has been covered in The New York Times, The Economist, ESPN, and other major news media.

Keynote 2: Professor Jinah Park (KAIST, South Korea)

Dr. Jinah Park is a Professor in the School of Computing, and ICT Endowed Chair Professor of the Korea Advanced Institute of Science and Technology (KAIST). She received a BSE in Electrical Engineering from Columbia University in New York, and an MSE and a Ph.D. in Computer and Information Science from the University of Pennsylvania in Philadelphia. She is currently leading Computer Graphics and Visualization research lab at KAIST. Her major academic contributions are to the field of medical imaging, where she developed a computational technique for analyzing 3D cardiac motion from MR tagging data. Her recent work on the deformable models for morphometric study applied to aging brain structures was selected as KAIST’s Top 10 Research Achievements. Her research team is also interested in understanding 3D interaction behaviors in a VR environment while developing various haptic rendering algorithms applied to virtual simulation. She is serving as Associate Editor of IEEE Transactions on Haptics, and she is also General Co-Chair of MICCAI 2025 to be held in Korea.