Collaborators

We are collaborating in research with a number of prestigious universities and international research centers. We are interested in ​fostering new collaborative partnerships with world-wide colleagues and peers.

Our current main collaborators are as follows:

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Inside KAUST

Prof. David Keyes​​Prof. Alyn RockwoodProf. Panos Kalnis and Prof. Xin Gao

We participate in collaborative research inside the KAUST community with Prof. Keyes in high-performance computing and Prof. Rockwood in computer vision and pattern recognition. Also, we collaborate with Prof. Kalnis in databases and Prof. Gao in machine learning and bioinformatics.​​​

http://www.kaust.edu.sa

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TAO (INRIA, CNRS and Université Paris-Sud, France)

Dr. Michele Sebag

TAO Research Group ( mixed INRIA SaclayCNRS and LRI - Université Paris-Sud, France)

We have solid collaborative research since 2006 when I became a Ph.D. student in INRIA, France​. Our joint work lies in machine learning, data streaming, autonomic computing, ​data mining and recently brain-computer interface.​​​​

http://tao.lri.fr

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IBM T.J. Watson Research Center

Dr. Hani Jamjoom​ and Dr. Zon-Yin Shae

Research group Cloud Platforms and Transformation

We have a joint project LIQUIDx - An Elasticity Framework for High Performance Computing Clouds​.​​​

http://www.watson.ibm.com/index.shtml

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Prof. Suojin Wang, Texas A&M University

​Prof. Suojin Wang

Department of Statistics​​​​​​​​

​We have collaborative research in machine learning and statistics. 

http://www.stat.tamu.edu/

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Prof. Jianhua Huang, Texas A&M University

Prof. Jianhua Huang

Department of Statistics ​​​​​

​We participate in collaborative research in machine learning and statistics.​

http://www.stat.tamu.edu/

 

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Microsoft Research Asia

Dr. Haixun Wang

We participate in collaborative research in knowledge database.​

http://research.microsoft.com/en-us/labs/asia/

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Université Paris-Sud, France

Prof. Cécile Germain-Renaud ​

TAO research group​​ at Université Paris-sud, France

​We engage solid collaborative research in grid management and autonomic computing.

http://tao.lri.fr