Digital Humanities Research

In 2013 I started publishing research on using technology to improve humanities research and study. Primarily I’ve been interested in applying computer vision techniques to improve art history study.

At the moment, beyond my work on Ukiyo-e.org, my primary area of research is in using computer vision techniques to improve art history photo archives, especially those specializing in Italian art. More information on that ongoing project can be found here:

Italian Art Computer Vision Analysis

Papers and Talks

• IDPAC 2014 Annual Meeting
• Princeton: The Digital World of Art History: Standards and Their Application
• NYARC 2014 Annual Meeting
• Using Computer Vision to Increase the Research Potential of Photo Archives (2013, Working Draft)
• Using Computer Vision to Improve Image Metadata (presented at DH 2014)
• Aggregating and Analyzing Digitized Japanese Woodblock Prints (2013) (Video) (JADH 2013)

Data Mining Research

From 2003-2005 I was a part of the Center for Discovery Informatics at the Rochester Institute of Technology (located in the Lab for Applied Computing).

The majority of my research was into data mining instant messaging networks (Project: IMSCAN).

Papers

• IMSCAN: An Algorithmic Framework for Mining Instant Messaging Networks (2005)
• Extracting Social Networks from Instant Messaging Populations (2004) (LinkKDD 2004)
• A Framework for Mining Instant Messaging Services (2004) (SDM 2004)