Tao Li,  Professor

 Tao Li

Tao Li, PhD (李涛)

Professor

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

H-index for Computer Science

Site Map


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.

 Big Data for Disaster Management: Our project on data-driven solutions for critical information exachange in disaster information management has been highlighted in NSF press release 15-029.  (See online link) (United States Senator Bill Nelson's recognition letter)

 i-Miner: Mining Inventory Data for Intelligent Management: Our recently developed data mining platform for mining inventory data for business intelligence. (Online Demo)

 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)

A book entitled "Event Mining: Algorithms and Applications" has appeared from  CRC Press in 2016. Here is the publisher link.
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


Graduated Ph.D. Students

  • Dr. David Kaiser Current Employment: Miami-Dade College;  Dissertation title: The Structure of Games; Defended: November 2007.

  • Dr. Wei Peng: Current Employment: Google; Dissertation title: Actionable Pattern Analysis in Computing and BI Systems; Defended: March 2008.

  • Dr. Yanfang Ye: Current Employment:West Virgnia University; Dissertation title: Research on Intelligent Malware Detection Methods and their Applications; Defended: Summer 2010 at Xiamen University

  • Dr. Dingding Wang: Current Employment: Florida Atlantic University; Dissertation title: Document Understanding Using Data Mining and Machine Learning Techniques; Defended: September, 2010.

  • Dr. Bo Shao: Current Employment: Florida Department of Transportation; Dissertation title: User-centric Music Information Retrieval; Defended: March 2011.

  • Dr.  Yi Zhang: Current Employment: Mircrosoft; Dissertation title: Visualization in Data Mining; Defended: July 2011.

  • Dr. Jingxuan Li: Current Employment: TripAdvisor; Dissertation title: Mining the Online Social Network Data: Influence, Summarization, and Organization; Defended: March 2014

  • Dr. Li Zheng: Current Employment: Self-Employed; Dissertation title: Towards Next Generation Vertical Search Engines; Defended: March 2014.

  • Dr. Lei Li: Current Employment: LinkedIn; Dissertation title: Next Generation of Recommender Systems: Algorithms and Applications; Defended: April 2014.

  • Dr. Liang Tang: Current Employment: Google; Dissertation title: Event Mining for System and Service Management; Defended: April 2014.

  • Dr. Chao Shen: Current Empolyment: Google; Dissertation title:  Text Analytics of Social Media: Sentiment Analysis, Event Detection and Summarization; Defended: October 2014.

  • Dr. Yexi Jiang:  Current Employment: Facebook; Dissertation title: Temporal Mining for Distributed Systems; Defended: March 2015.

  • Dr. Longhui Zhang:  Current Employment: Self-Employed; Dissertation title: An Integrated Framework for Patent Analysis and Mining; Defended: April 2016

  • Dr. Chunqiu Zeng:   Current Employment: Google; Dissertation title: Large Scale Data Mining for IT Service Management; Defended: November 2016

   Ph.D. Students in-progress

Awards

  • Excellence in Service Award, College of Engineering and Computing, Florida International University, 2015.
  • Excellence in Student Mentoring Award, School of Computing and Information Sciences, Florida International University, 2014
  • 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:  Thursday:  19:50pm -- 22:30pm

Meeting Room: GL139

My research group : Knowledge Discovery Research Group (KDRG)

Other Links:


 

  

 

 

eXTReMe Trackerhttp://e0.extreme-dm.com/s9.g?login=taoli&j=n&jv=n