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Alla Sheffer

Professor
Computer Science Department
University of British Columbia

sheffa@cs.ubc.ca

www.cs.ubc.ca/~sheffa

 
http://www.cs.ubc.ca/~barequet/icons/phone.gif

phone: +1-(604)-822-4030
fax:   +1-(604)-822-5485

Office: x651 CICSR

Mail:

Dept. Computer Science, UBC
201-2366 Main Mall
Vancouver, V6T 1Z4, Canada


News:

 


Bio blurb:

I joined the CS department at UBC in 2003, and was promoted to full professor in 2013. I am a member of the Imager Graphics and HCI lab.  My prior places of study/work included: Technion (Israel), University of Illinois at Urbana-Champaign (UIUC), and Hebrew University (Jerusalem).  I investigate algorithms for geometry processing focusing on computer graphics applications. I am now increasingly interested in developing methods for geometric interpretation of designer intent when conveying shape. I coauthored over 80 peer-reviewed publications, many highly cited. My work is published at venues such as Siggraph, Siggraph Asia, ACM TOG, and Eurographics. My recent awards include the 2018 Canadian Human Computer Communications Society Achievement Award, an NSERC Discovery Accelerator (2012), an Audi Production Award (2011), and faculty awards from IBM, Google and Adobe.

I have served as an associate editor of ACM TOG, IEEE TVCG, and CGF,  the program co-chair for the Eurographics 2018 conference,  the general co-chair for the Pacific Graphics’18 and GMP’19 conferences, and program co-chair for SGP’06 and SMI’13.


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My research in a nutshell:l:

My research addresses geometric modeling and processing problems both in traditional computer graphics settings and in multiple other application domains, including product design, mechanical and civil engineering, and fashion. I have worked on core geometry processing topics, including hexahedral meshing and developable surface manipulation. My mesh parameterization methods, particularly the ABF (angle-based flattening) algorithm, are widely used in industry and are taught in many advanced modeling courses worldwide.

My  recent research applies insights about human perception and communication of shapes to algorithmic shape processing and has yielded novel modeling methods targeted at a broad user base. Our algorithms accelerate and simplify the creation of virtual models across multiple domains, including fashion and product design.

 

To learn more about the research conducted by my group check my publications list.