Zhangyang (Atlas) Wang​

Multiple Ph.D. Positions at CSE@TAMU


I am always looking for self-motivated students (with financial aid) who are interested in pursuing Ph.D. degrees in machine learning (not limited to deep learning), computer vision, image/video processing, and/or novel application domains such as social computing and healthcare. Also, self-funded visiting students/scholars are welcome to apply.

About the PI
Dr. Zhangyang (Atlas) Wang is joining the Computer Science and Engineering (CSE) Department, at the Texas A&M University (TAMU), as an Assistant Professor, starting from August 2017. He is a Research Scientist in University of Washington (UW) from January to August 2017. During 2012-2016, he was a Ph.D. student in the Electrical and Computer Engineering (ECE) Department, at the University of Illinois at Urbana-Champaign (UIUC), working with Professor Thomas S. Huang. Prior to that, he obtained the B.E. degree at the University of Science and Technology of China (USTC), in 2012.  


Dr. Wang's research has been addressing machine learning, computer vision and image processing problems using advanced feature learning techniques. He has co-authored over 30 papers, and published books and chapters. He has been granted 3 patents. He completed three summer internships with Microsoft Research (2015), Adobe Research (2014), and US Army Research (2013). He received UW Amazon Catalyst Innovation Award Finalist (2017), UIUC Dissertation Completion Fellowship (2016), Huang Graduate Research Award (2016), CSC Fellowship (2016), Baidu Research Scholarship (2015), Cognitive Science/Artificial Intelligence Research Award (2015), among many others. He served as a guest editor for IEEE TNNLS and EURASIP JBSB; an Area Chair for ICIP; a TPC co-chair for ICCV AMFG 2017; a TPC member for CVPR, ACM MM, IJCAI, ICIP, VCIP, IJCNN, and PAKDD; a tutorial organizer in CVPR and ECCV; a workshop organizer in IJCAI and SDM; and a regular reviewer for over 30 top journals and conferences. His research has been covered by worldwide media, such as BBC, Fortune, IBT, UIUC news

Texas A&M University (TAMU) is conveniently located in a quadrangle formed by Dallas, Houston, San Antonio and Austin. TAMU has been most renowned for its world-class College of Engineering (ranked 11th by US News 2017). As its part, the Department of Computer Science and Engineering has top-ranked Computer Science and Computer Engineering programs. The department has faculty with a number of national distinctions, including several ACM/IEEE/AAAS/SIAM Fellows, ACM Distinguished Scientists and Engineers. More information about the department is available at 
http://www.cse.tamu.edu .

How to Apply
Students from Computer Science, Electrical Engineering, Statistics, Applied Mathematics, or other related disciplines are encouraged to apply. The candidate should have a strong passion in pursuing high-quality research, and should have the ambition to become a world-class researcher upon graduation from the Ph.D. program. A strong candidate is expected to possess an exceptional algorithmic and theoretical background, to have good analytical and programming skills, and to communicate and present well.

If you are interested in the positions, please feel free to contact the PI at: 
atlaswang@tamu.edu. Please attach your CV, a sample publication or project report (if any), and everything else that you believe will help your application. Please apply to our graduate program, and mention your intention to work with me in your statement (NOTE: mentioning me in your personal statement will not automatically remind me to review your package. You have to send me an email to inform your application and interests in joining us).