Faculty
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Daniel Weller |
Assistant Professor, Electrical and Computer Engineering (courtesy appointments in Biomedical Engineering and Radiology and Medical Imaging) | |
Professor Weller joined the faculty of the University of Virginia in August 2014 after completing a two-year postdoctoral fellowship at the University of Michigan. He completed his PhD and SM (Master's of Science) in Electrical Engineering in 2012 and 2008, respectively, both from MIT. He completed his BS in Electrical and Computer Engineering in 2006 at Carnegie Mellon University, with university and college honors. His research interests are in signal processing and medical imaging, particularly magnetic resonance imaging. Visit personal website. |
Graduate Students
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Haris Jeelani |
PhD Student, Electrical Engineering | |
Haris Jeelani completed his Bachelor's in Electronics and Communication Engineering in India after which, he worked as a Junior Research Fellow at Medical Imaging Group, Indian Institute of Science(IISc). He joined the University of Virginia in Fall 2015 to pursue a PhD in Electrical Engineering. His primary research interests are signal and image processing, and their application to magnetic resonance imaging. | |
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Haoyi Liang |
PhD Student, Electrical Engineering | |
Mr. Liang joined the University of Virginia in the fall of 2014 after completing his Bachelor's degree in Electronic Engineering with honors from Shanghai Jiao Tong University (China). He is pursuing a PhD in Electrical Engineering. His research interests are computer vision, pattern recognition, and video content analysis. Visit personal website. | |
Photo credit: Deborah Rose/Computer Science Department | |
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Luonan Wang |
PhD Student, Computer Engineering | |
Mr. Wang received his BEng degree in Electronic Science and Technology from Yanshan University in 2011 and a MS degree in Electrical Engineering from Vanderbilt University in 2013. He joined the University of Virginia in Fall 2014 to pursue a PhD degree in Computer Engineering. His research interests include signal processing, digital image processing, and magnetic resonance imaging. | |
Photo credit: Deborah Rose/Computer Science Department |