Niloy J. Mitra – ACM SIGGRAPH HISTORY ARCHIVES

Niloy J. Mitra


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About Niloy J. Mitra

Affiliations

University College London, UCL Knowledge Lab
ParaGraph International
Adobe Inc., Adobe Research
King Abdullah University of Science and Technology (KAUST)

Location

London, United Kingdom

Bio

SIGGRAPH 2025

Niloy Mitra is a Professor of Geometry Processing in the Department of Computer Science, University College London (UCL). He received his MS and PhD in Electrical Engineering from Stanford University. His research interests include generative AI, shape analysis, computational design and fabrication, and geometry processing. Niloy is a recipient of ACM Siggraph Significant New Researcher Award (2013), Eurographics Outstanding Technical Contributions Award (2019) and the ERC Starting Grant (2013).

SIGGRAPH Asia 2018

Niloy J. Mitra leads the Smart Geometry Processing group in the Department of Computer Science at University College London. He received his PhD degree from Stanford University. His research interests include shape analysis, geometry processing, and computational design and fabrication. Niloy received the ACM Siggraph Significant New Researcher Award in 2013 and the BCS Roger Needham award in 2015. His work has twice been selected and featured as research highlights in the Communication of ACM, received best paper award at ACM Symposium on Geometry Processing 2014, best software SGP 2017, and Honourable Mention at Eurographics 2014.

SIGGRAPH Asia 2013

Niloy Mitra is an associate professor at UCL and leads the Geometry Processing group. His work spans the area of symmetry detection, shape analysis, and their applications to semantic object manipulations.

SIGGRAPH 2020

Niloy J. Mitra is a Professor of Geometry Processing in the Department of Computer Science, University College London (UCL). His research interests include shape analysis, data-driven geometry processing, and computational design and fabrication. Niloy received the 2013 ACM Siggraph Significant New Researcher Award, the BCS Roger Needham award in 2015, and the Eurographics Outstanding Technical Contributions Award in 2019.

SIGGRAPH 2022

I lead the Smart Geometry Processing group at University College London and the Adobe Research London Lab. I received my MS and PhD from Stanford University. My current research focuses on developing machine learning frameworks for generating high-quality geometric and appearance models for CG applications. I received the 2019 Eurographics Outstanding Technical Contributions Award, the 2015 British Computer Society Roger Needham Award, and the 2013 ACM SIGGRAPH Significant New Researcher Award. Besides research, Niloy is an active DIYer and loves reading, bouldering, and cooking.


SIGGRAPH Conference Organizing Committee Positions


Conference Contributions

Learning

Courses

Panels

Technical Papers

Sessions Moderated

“Understanding and Exploiting Object Interaction Landscapes” by Pirk, Krs, Hu, Rajasekaran, Benes, et al. …
“Retrieval on Parametric Shape Collections” by Schulz, Shamir, Baran, Levin, Sitthi-amorn, et al. …
“Deformation-driven shape correspondence via shape recognition” by Zhu, Yi, Lira, Alhashim, Xu, et al. …
“Co-Locating Style-Defining Elements on 3D Shapes” by Hu, Hu, Kaick, Huang, Averkiou, et al. …
“GRASS: generative recursive autoencoders for shape structures” by Li, Xu, Chaudhuri, Yumer, Zhang, et al. …
“Printing arbitrary meshes with a 5DOF wireframe printer”
“Designing structurally-sound ornamental curve networks”
“Synthesis of filigrees for digital fabrication”
“Connected fermat spirals for layered fabrication” by Zhao, Gu, Huang, Garcia, Chen, et al. …
“Approximating subdivision surfaces with Gregory patches for hardware tessellation”
“DiagSplit: parallel, crack-free, adaptive tessellation for micropolygon rendering”
“Analytic drawing of 3D scaffolds”
“Structured annotations for 2D-to-3D modeling”
“DESIA: a general framework for designing interlocking assemblies”
“Construction and fabrication of reversible shape transforms”
“3D fabrication with universal building blocks and pyramidal shells”
“PhotoShape: photorealistic materials for large-scale shape collections”
“Axis-Aligned Height-Field Block Decomposition of 3D Shapes”

Other Information


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