Mitsunori Ogihara Named Associate Dean for Digital Library Innovation
January 5, 2012
Coral Gables, Florida
The University of Miami’s College of Arts and Sciences and the University Libraries announce that Dr. Mitsunori Ogihara has been named Associate Dean for Digital Library Innovation, effective January 1, 2012. He will hold joint appointments in the Center for Computational Science and the College. Also, under an innovative and unique partnership to more closely align library and College of Arts and Sciences digital programs, the Libraries will contract a percentage of Dr. Ogihara’s time to lead the UM Virtual Library Program, especially in the digital humanities.
“We are very happy to have Mitsu Ogihara lead the University’s Virtual Library Program. As a computer scientist, he is the perfect match for this integrated position. And as a faculty member of the College, his appointment creates a stronger alliance between Arts and Sciences and the Library. I am excited about the new opportunities for scholarship that this program will provide to our UM community. I wish him well in this new position, and I am confident his faculty colleagues will welcome his endeavors in finding new digital avenues and resources to support their both research and teaching,” said Leonidas Bachas, Dean of the College of Arts and Sciences.
“The Library’s future collection, workspaces, and scholarly tools are rapidly becoming digital,” said William Walker, dean and university librarian. “In the Libraries, we are very excited that Mitsu Ogihara is joining our team to guide and advance the University’s Virtual Library Program. I know of no better partner than Mitsu to help us unite library and academic resources to advance scholarly communication at UM.”
Professor Ogihara is Director of Data Mining in UM’s Center for Computational Science. Dr. Ogihara received his Ph.D. in Information Science from the Tokyo Institute of Technology (Japan). Prior to joining the University of Miami, Professor Ogihara headed the Computer Science department at the University of Rochester for eight years. He has published extensively in the areas of complexity theory and data mining; his most recent book “Music Data Mining” was published by CRC in 2011.