General Information
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Name: |
Peter Wonka
Professor in Computer Science
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Email: |
peter.wonka@kaust.edu.sa
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Phone: |
+966 12 808 0235 |
Work: |
KAUST - King Abdullah
University of Science and Technology
CEMSE
Computer Science Program
Visual Computing Center
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Address KAUST
Peter
Wonka
CEMSE
Building 1, office 2108
4700 King Abdullah University of Science and
Technology
Thuwal 23955-6900
Kingdom of Saudi Arabia
Note for Students and Post-docs interested in joining my group
What background is a good match for my research?
I look at multiple criteria
when evaluating a student, mainly: reputation of the
undergraduate (graduate) school, GPA, the quantitative
GRE score, mathematics skills (grades in mathematics
courses), and programming skills. The students that I
recruit are typically either very good in mathematics,
programming (system building), or both. A nice bonus
is the knowledge of visual computing, research
experience, and publications. I am looking for
students who are interested in learning optimization,
machine learning (a lot of deep learning these days), or geometry related techniques and
innovating existing techniques to improve applications
in the areas of graphics, vision, visualization, or
remote sensing.
Publications: for my research I typically target
publications in the following venues. The publication venues are not an exclusive
list.
- computer graphics (ACM Siggraph, ACM Siggraph Asia,
ACM TOG, Eurographics, IEEE TVCG)
- computer vision
(ECCV, ICCV, CVPR, IEEE PAMI)
- visualization (IEEE
Visualization, IEEE TVCG)
- remote sensing (IEEE
TGRS).
How to contact me? If you are
interested to join as a student please send me an
email including a CV. The CV should include your GPA.
Note for post-docs: If you are interested to join as a post-doc, please send
a CV including your GPA and publication list. Almost
all post-docs I previously hired had publications in
some of the venues highlighted above or very related
publication venues.
What are some good courses to prepare for research? Here are some courses that are beneficial to prepare for my current research.
The online course offering changes so fast, it is hard to keep track.
- basic machine learning, e.g. coursera (Machine Learning, Andrew Ng)
- deep learning, e.g. coursera (Deep Learning Specialization), udactity nanodegree, fastai, or Stanford
- optimization, e.g. Boyd's convex optimization courses
- linear algebra, e.g. Gilbert Strang on youtube, Boyd's linear dynamical systems
Research
Research
Topics:
- Deep Learning for Visual Computing
- Computer
Graphics
- Computer
Vision
- Visualization
- Remote
Sensing
- Image
Processing
- Machine
Learning
- Data
Mining
Keywords: deep learnng, machine learning for visual computing,
generative adverserial networks,
3D reconstruction, laser scanning, urban
modeling, urban reconstruction, urban planning,
computational design, procedural modeling, layout
synthesis, shape modeling, interactive editing,
geometry processing, architectural geometry,
geo-spatial visualization, surface sampling, surface
remeshing, image editing, image analysis, image
segmentation, texture synthesis, texture analysis,
lighting design, machine learning for graphics
applications, optimization, deep learning.
Keywords - example tools used in recent research: machine learning,
deep learning, generative adverserial networks, graphical models, gaussian process regression,
optimization, integer programming, mixed integer programming, ADMM, quadratic programing, heuristic optimization,
quadratic assignment, functional maps, graph-cuts
Publications
Current
Students, Post-docs, and Research Scientists
- Jing Ren
(previous school: Oxford, UK)
- Anna
Fruehstueck (previous school: Technical University
of Vienna, Austria)
- Tian Yu
(previous school: Harbin Institute of Technology,
China)
- Peihao
Zhu (previous school: Chinese Academy of Science,
China)
- Yazeed
AlHarbi (previous school: Purdue, USA)
- Wamiq
Reyaz (previous school: National Institute of
Technology, Srinagar, India)
- Rameen
Abdal (previous school: National Institute of
Technology, Srinagar, India)
- Ibraheem
AlHashim, Post-doc (previous school: Simon Frasier
University, Canada)
- Michael Birsak, Post-doc (previous school: TU Vienna, Austria)
- Abdalla Ahmed, Post-doc (previous school: Konstanz, Germany)
The
university (country) listed in brackets is where the
group member came from before joining KAUST. This
list is just to give you an idea on the current
group decomposition.
Other Information
- My reasonably recent CV: [pdf]
- A list of books that I recommend to graduate students:
Book List - unfortunately, this is a bit outdated. See some of the online courses I recommend in machine learning and optimization above
- Some random pictures from KAUST, my group, and the VCC center:
fish restaurant ,
VCC conference ,
climbing ,
snorkeling
 
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