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Optimal Dissemination on Graphs: Theory and Algorithms
November 22, 2013 @ 12:00 pm - 1:30 pm
Optimal Dissemination on Graphs: Theory and Algorithms
CUNY Data Mining Initiative
Friday, November 22, 2013 from 12:00 PM to 1:30 PM (EST)
Speaker: Professor Hanghang Tong, City College, CUNY
Bio: Hanghang Tong is currently an Assistant Professor in Computer Science at the City College, City University of New York. Before that, he was a research staff member at IBM T.J. Watson Research Center and a Post-Doctoral fellow in Carnegie Mellon University. He received his M.Sc. and Ph.D. degree from Carnegie Mellon University in 2008 and 2009, both majored in Machine Learning. His research interest is in large scale data mining for graphs and multimedia. He has received several awards, including best paper award in CIKM 2012, best paper award in SDM 2008, and best research paper award in ICDM 2006. He has published over 70 referred articles and more than 20 patents. He has served as a program committee member in top data mining, databases, and artificial intelligence venues (e.g., SIGKDD, SIGMOD, AAAI, WWW, CIKM, etc.).
CUNY Data Mining Initiative
The CUNY Data Mining Initiative is sponsored by a grant from the National Science Foundation. The Principal Investigator is Distinguished Professor Paul Attewell (Sociology). For more information, you can visit our website at datamining.ws.gc.cuny.edu. We can also be contacted via email at [email protected] or by phone at (212) 817-1842. If you would like to subscribe to our listserv, please email us with your name and institutional affiliation (if any).
