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Computer Science Department, University of North Carolina at Chapel Hill, NC, United States |
Email:
alexyangshan@gmail.com |
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[Research Interests][Education][Honors and
Awards][Projects][Publications][Courses]
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RESEARCH
INTERESTS
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Computer Graphics o
Physically-based Simulation o
Deformable body simulation |
Geometric Computing o
Mesh generation o
Mesh quality maintenance |
Computer Vision o
Medical image processing Visualization Robotics |
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EDUCATION
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University of North Carolina at Chapel Hill, NC, United
State |
2012 -
present |
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Research
assistant of Prof. Ming Lin Ph.D candidate |
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Shanghai Jiao Tong University, Shanghai,
China |
2007 - 2012 |
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Department
of Software B.E.,
Software Engineering, June 2012 Overall GPA:
90.3 / 100 ( 3.82 / 4.0 ) Major GPA:
91.2 / 100 ( 3.83 / 4.0 ) Rank: Top 5 among the 137 students |
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HONORS AND
AWARDS
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Academic Excellence Scholarship (Second-class)
of SJTU, 2007
- 2008 academic year Academic Excellence Scholarship (Third-class) of
SJTU,
2008 - 2009 academic year China Aerospace Science and Technology
Corporation Scholarship for 2009 - 2010 academic year, top 5% students Tung OOCL Scholarship for 2010 -
2011 academic year, top 5% students Excellent Bachelor Thesis of Shanghai Jiao Tong
University, top
1% students |
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PROJECTS
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Simulation-Based Estimation of Multi Body
Deformation and Elasticity Parameters, GAMMA, UNC Chapel Hill |
2012.08 - present |
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Designed and implemented a novel multi body
elasticity parameter estimation method based on computed tomography (CT)
images and FEM simulation. o
Based on the multi-dimensional optimization
method, the elasticity parameters were recovered. |
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Tubule Recognition And Classification In
Microscopic Testis Images, CS Bio Lab, UNC Chapel Hill |
2012.08 -
2012.12 |
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Designed and implemented a novel tubule
recognition algorithm based on Random Forest algorithm o
Designed and implemented a novel feature space
for tubule like biological structure. |
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Virtual Suturing, IGST(Image Guided Surgery and
Therapy Lab), Shanghai, China |
2011.04 -
2012.06 |
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Exist mechanisms of suturing simulation are not
able to represent these under-surface procedures well. o
To meet the new requirement, we present a more
detailed way of the suturing simulation. |
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Mesh Quality Maintenance, IGST, Shanghai, China |
2011.04 -
2012.06 |
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o The project
is going to maintain the quality of the surface meshes in the dynamic scenes
and support the typical query requirements of the real-time virtual surgery
systems. The proposed solution is based on loose r sample theory and it can
effectively protect the surface meshes quality during the object deformation,
by maintain the loose r-sample properties of the surface sampling points Set
S, the dynamic Delaunay triangulation of S and the labels of the Delaunay
cells. |
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High Quality Mesh Generation, IGST, Shanghai,
China |
2010.03 -
2010.09 |
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Reconstructing tetrahedral meshes from 3D
medical images is a non-trivial task in Bio-medical engineering. Many
applications, such as finite element analysis on the soft-tissues, work on
the reconstructed tetrahedral meshes. o
The proposed solution firstly samples on the
solid object with a global optimized sampling data structure named centroidal Voronoi
tessellations, and then reconstructs the tetrahedral mesh from the samplings. |
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MIPS CPU Designing and Simulation, SJTU,
Shanghai, China |
2010 |
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Designed and simulated single-cycled, multi-cycled,
pipelining CPU using Verilog |
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PUBLICATIONS
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Paper o
Shan Yang, Wenlong Lu, Lixu Gu, Real - time simulation for buried suture, Computer
Assisted Radiology and Surgery (CARS), 2012 o
Wenlong Lu, Sizhe Lv, Shan Yang, Lixu Gu,
Mesh quality maintenance for virtual surgery, submitted to IEEE Transactions
on Information Technology in Biomedicine (TITB), 2012 |
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COURSES
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2012-2013 o
COMP768 Physically Based Modeling and Simulation o
COMP790 Machine Learning o
COMP715 Computer Graphics o
COMP770 Visualization in
Sciences |
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