Tao Li,  Professor

 Tao Li

Tao Li, PhD (李涛)

School of Computer Science
Florida International University

 

Office: ECS 365

Lab: ECS 251

 

11200 SW 8th Street
Miami, FL 33199, U.S.A.

Phone: (305) 348-6036
Fax: (305) 348-3549
Email: taoli AT cs.fiu.edu
URL: http://www.cs.fiu.edu/~taoli

CV of Dr. Tao Li  (as of August 2013)

Google Scholar Profile


Short Biography

Dr. Tao Li is currently a full professor in the School of Computer Science, Florida International University. He received his Ph.D. in computer science from the Department of Computer Science, University of Rochester in 2004 (My old homepage at Rochester).   He was a recipient of NSF CAREER Award (2006-2010) and multiple IBM Faculty Research Awards (2005, 2007 & 2008). In 2009, he received FIU's Excellence in Research and Creativities Award. In 2010, he received IBM Scalable Data Analytics Innovation Award.  He received the inaugural Graduate Student Mentorship Award from the College of Engineering and Computing at FIU in 2011.

He is on the editorial board of ACM Transactions on Knowledge Discovery from Data (ACM TKDD), IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), and Knowledge and Information System Journal (KAIS).


My Research  (Research Projects

Dr Tao Li's research explores two related topics on learning from data---how to efficiently discover useful patterns and how to effectively retrieve information. The interests lie broadly in data mining and machine learning studying both the algorithmic and application issues. The algorithmic aspects involve developing new scalable, efficient and interactive algorithms that can handle very large databases. The underlying techniques studied include clustering, classification, semi-supervised learning, similarity and temporal pattern discovery. The application issues focus on actual implementation and usage of the algorithms on a variety of real applications with different characteristics including bioinformatics, text mining, music information retrieval and event mining for computer system management.

PDP-Miner: Plasma Display Panel Data Mining Platform: Our integrated solution on applying data mining techinques to optimize the manufacturing process has been successfully deployed as the data analysis platform of ChangHong COC Display Device CO., Ltd, one of the world's largest display device manufacturing companies in China. (Online Demo (See related news)

FIU-Miner: A Fast, Integrated, and User-Friendly System for Data Mining in Distributed Environment developed by my group.   (Online Demo)

点击进入目录

  My data mining book entitled "Data Mining Where Theory Meets Practice" was published in Chinese by Xiamen University Press in December 2013. Its Chinese title is "数据挖掘的应用与实践 大数据时代的案例分析".  The book content is based on the research projects conducted in my research group.   Thanks all my students and scholars for their great contribution to the book.


Music Data Mining Front Cover

   A book entitled "Music Data Mining" has appeared from  CRC Press in July 2011. Here is the publisher link

Awards

  • Excellence in Research Award, College of Engineering and Computing, Florida International University, 2012
  • Xerox University Affairs Committee (UAC) Award, 2011-2014
  • Excellence in Mentorship Award, College of Engineering and Computing, Florida International University, 2011
  • 2011 Kauffman Professor Award
  • IBM Scalable Data Analytics Innovation Award, 2010
  • National Science Foundation (NSF) Career Award, 2006-2011
  • Excellence in Student Mentoring Award, School of Computing and Information Sciences, Florida International University, 2009
  • Excellence in Research Award, Florida International University, 2009
  • Excellence in Faculty Scholarship, Florida International University, 2008
  • IBM Faculty Award, 2005, 2007 & 2008
  • IBM Shared University Research (SUR) Award, 2005
  • Xerox University Affairs Committee (UAC) Award, 2005-2008
  • Excellence in Research Award, School of Computer Science, Florida International University, 2005

Selected Publications (All Publications)

 Current Courses  (All Courses)

Meeting Time: Tuesday and Thursday:  5:00pm -- 6:15pm

Meeting Room: ECS 132

My research group : Knowledge Discovery Research Group (KDRG)

Other Links:


 

  

Last Updated:

 

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