Sapheos

Project Team

Dr. Randall Cream, Associate Director of the Center for Digital Humanities at the University of South Carolina and Project Director, Sapheos Project. For two years, Dr. Cream served as project manager for the Spenser Project at South Carolina, an NEH-funded Scholarly Editions project. Trained as a researcher in the literature and philosophy of eighteenth-century Britain, Dr. Cream will serve as Project Director and coordinate the weekly development schedule of Sapheos software.

Dr. Song Wang, Associate Professor of Computer Science Engineering at the University of South Carolina, and leader, Computer Vision Group. Dr. Wang has extensive expertise in mathematical approaches to image-based applications in a variety of fields, including medical imaging and biology. Dr. Wang’s research interest include computer-assisted vision as an interdisciplinary research area, algorithmic manipulation of images, and automated similarity and difference detection in images, static and moving. Dr. Wang will directly supervise the graduate student developing the software and coordinate the Computer Vision Group with the Sapheos team.

Dr. David Miller, Carolina Distinguished Professor of English and Comparative Literature at the University of South Carolina. Dr. Miller is trained as a scholar of the English renaissance, writing on Shakespeare and Spenser. Dr. Miller is PI on the Spenser Project at South Carolina, a NEH funded Scholarly Editions project. Dr. Miller will advise the Sapheos Project on issues of bibliographic and textual scholarship, ensuring that the suite of software tools proves useful to humanists working with early-modern texts.

Jun Zhou, Lead Programmer, Center for Digital Humanities at the University of South Carolina. Ms. Zhou is responsible for supervising and directing the undergraduate developers, working closely with the graduate student developer, and coordinating with the Computer Vision Group.

Jarrell Waggoner, a graduate student in Computer Science Engineering at the University of South Carolina. Mr. Waggoner will serve as primary developer and key team member on the Computer Vision team at South Carolina. Trained in mathematic analysis of image and a skilled programmer of MATLAB, Waggoner will primarily develop the digital collation application.

Jon Bolt, an undergraduate Computer Science Engineering major and Capstone Scholar at the University of South Carolina. Recently, Mr. Bolt developed an extension to an opensource page turning application to link the page animations to underlying XML data, allowing users to move between copies and stay at the same place in the text. Mr. Bolt will work on application testing, port the Java code to MATLAB, and assist in the documentation and debugging.

Ekshita Kumar, an undergraduate Computer Science major at the University of South Carolina. Ms. Kumar will develop the (X,Y) coordinate pairs application in Java, assist in porting the code to MATLAB, and debug and test the code for the Sapheos project.


	Project Team Dr. Randall Cream, Associate Director of the Center for Digital Humanities at the University of South Carolina and Project Director, Sapheos Project. For two years, Dr. Cream served as project manager for the Spenser Project at South Carolina, an NEH-funded Scholarly Editions project. Trained as a researcher in the literature and philosophy of eighteenth-century Britain, Dr. Cream will serve as Project Director and coordinate the weekly development schedule of Sapheos software. Dr. Song Wang, Associate Professor of Computer Science Engineering at the University of South Carolina, and leader, Computer Vision Group. Dr. Wang has extensive expertise in mathematical approaches to image-based applications in a variety of fields, including medical imaging and biology. Dr. Wang’s research interest include computer-assisted vision as an interdisciplinary research area, algorithmic manipulation of images, and automated similarity and difference detection in images, static and moving. Dr. Wang will directly supervise the graduate student developing the software and coordinate the Computer Vision Group with the Sapheos team. Dr. David Miller, Carolina Distinguished Professor of English and Comparative Literature at the University of South Carolina. Dr. Miller is trained as a scholar of the English renaissance, writing on Shakespeare and Spenser. Dr. Miller is PI on the Spenser Project at South Carolina, a NEH funded Scholarly Editions project. Dr. Miller will advise the Sapheos Project on issues of bibliographic and textual scholarship, ensuring that the suite of software tools proves useful to humanists working with early-modern texts. Jun Zhou, Lead Programmer, Center for Digital Humanities at the University of South Carolina. Ms. Zhou is responsible for supervising and directing the undergraduate developers, working closely with the graduate student developer, and coordinating with the Computer Vision Group. Jarrell Waggoner, a graduate student in Computer Science Engineering at the University of South Carolina. Mr. Waggoner will serve as primary developer and key team member on the Computer Vision team at South Carolina. Trained in mathematic analysis of image and a skilled programmer of MATLAB, Waggoner will primarily develop the digital collation application. Jon Bolt, an undergraduate Computer Science Engineering major and Capstone Scholar at the University of South Carolina. Recently, Mr. Bolt developed an extension to an opensource page turning application to link the page animations to underlying XML data, allowing users to move between copies and stay at the same place in the text. Mr. Bolt will work on application testing, port the Java code to MATLAB, and assist in the documentation and debugging. Ekshita Kumar, an undergraduate Computer Science major at the University of South Carolina. Ms. Kumar will develop the (X,Y) coordinate pairs application in Java, assist in porting the code to MATLAB, and debug and test the code for the Sapheos project.