Alla Sheffer FRSC is a Canadian researcher in computer graphics, geometric modeling, geometry processing, and mesh generation, particularly known for her research on mesh parameterization and angle-based flattening.[1] She is currently a professor of computer science at the University of British Columbia.

Education and career

Sheffer was educated at the Hebrew University of Jerusalem, earning a bachelor's degree in mathematics and computer science in 1991, a master's degree in computer science in 1995, and a Ph.D. in computer science in 1999.[2] Her dissertation, Geometric Modeling and Applied Computational Geometry, was supervised by Michel Bercovier.[3]

After postdoctoral research at the University of Illinois at Urbana–Champaign, she became an assistant professor at the Technion – Israel Institute of Technology in 2001. She moved to the University of British Columbia in 2003, and became a full professor there in 2013.[2]

Recognition

The Canadian Human–Computer Communications Society gave Sheffer their Achievement Award in 2018, "for her numerous highly impactful contributions to the field of computer graphics research".[1]

In 2020, Sheffer was elected as a Fellow of the Royal Society of Canada[4]and a member of the ACM SIGGRAPH Academy.[5] In 2021, she was elected as a Fellow of IEEE.[6] She was named a 2021 ACM Fellow "for contributions to geometry processing, mesh parameterization, and perception-driven shape analysis and modeling".[7]

References

  1. 1 2 "Alla Sheffer", CHCCS/SCDHM Achievement Award, Canadian Human–Computer Communications Society, retrieved 2020-11-13
  2. 1 2 Curriculum vitae (PDF), retrieved 2020-11-13
  3. ↑ Alla Sheffer at the Mathematics Genealogy Project
  4. ↑ RSC Fellow Class of 2020 (PDF), Royal Society of Canada, retrieved 2020-11-13
  5. ↑ ACM SIGGRAPH Academy, ACM SIGGRAPH, 6 May 2018, retrieved 2021-06-15
  6. ↑ NEWLY ELEVATED FELLOW CLASS 2021 (PDF), IEEE, retrieved 2021-06-15
  7. ↑ ACM Names 71 Fellows for Computing Advances that are Driving Innovation, Association for Computing Machinery, 19 January 2022, retrieved 2022-01-19
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