Tamal K. Dey is Professor of Computer Science at the Ohio State University. He received his PhD from Purdue University. Before joining the Ohio State University he held faculty positions at Indian Institute of Technology, Kharagpur and research positions at the University of Illinois and Max Planck Institute. His primary research area is Computational Geometry and Computational Topology with applications to geometric modeling. He has authored more than fifty papers in this area and has lectured extensively on the topic of reconstruction and mesh generation in various academic forums.

• 1. Basics; 2. Curve reconstruction; 3. Surface samples; 4. Surface reconstruction; 5. Undersampling; 6. Watertight reconstructions; 7. Noisy samples; 8. Noise and reconstruction; 9. Implicit surface based reconstructions; 10. Morse theoretic reconstructions.

'The text is well written, and present the algorithms in a way that makes them quite understandable. Instead of presenting the algorithms as single, monolithic and complex methods, they are broken into parts that can be explained and mathematically analyzed in an order that makes clear how they are later composed into the larger task.' SIGACT News