Data Mining and Knowledge Discovery, Text Mining, Information Retrieval, Ontology, Bioinformatics, Parallel and Distributed Computing.

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1 Yanjun Li Associate Professor Department of omputer and Information Sciences Fordham University 402B John Mulcahy Hall 441 East Fordham Road, Bronx NY Phone: (718) RESEARH INTEREST Data Mining and Knowledge Discovery, Text Mining, Information Retrieval, Ontology, Bioinformatics, Parallel and Distributed omputing. EDUATION Ph.D. in omputer Science and Engineering June 2007 o Wright State University o Dissertation: High Performance Document lustering Algorithms M.S. in omputer Science August 2003 o Wright State University B.S. in omputer Science August 2001 o Franklin University B.S. in Economics July 1993 o University of International Business and Economics, hina WORK EXPERIENE Associate Professor September 2013 Present Department of omputer and Information Sciences, Fordham University Assistant Professor September 2007 August 2013 Department of omputer and Information Sciences, Fordham University Teaching Assistant September 2006 June 2007 Department of omputer Science and Engineering, Wright State University Research Assistant June 2003 June 2007 Database Research Laboratory, Wright State University Yanjun Li 1

EDUATION Ph.D. in omputer Science and Engineering June 2007 o Wright State University o Dissertation: High Performance Document lustering Algorithms M.S. in omputer Science August 2003 o Wright State University B.

2 PUBLIATIONS JOURNAL PAPERS: Yanjun Li, ongnan Luo, and S. M. hung, A Parallel Text Document lustering Algorithm Based on Neighbors, luster omputing, April 2015, DOI /s z, Springer US. Yanjun Li, D. Frank Hsu, and S. M. hung, ombination of Multiple Feature Selection Methods for Text ategorization by Using ombinatorial Fusion Analysis and Rank-Score haracteristic, International Journal on Artificial Intelligence Tools (IJAIT), Vol. 22, No.2, World Scientific, April Yanjun Li, ongnan Luo, and S. M. hung, Weighted Naïve Bayes for Text lassification Using Positive Term-lass Dependency, International Journal on Artificial Intelligence Tools (IJAIT), Vol. 21, No. 1, World Scientific, February ongnan Luo, Yanjun Li, and S. M. hung, Text Document lustering Based on Neighbors, Data and Knowledge Engineering (DKE), Vol. 68, No. 11, Elsevier Science, 2009, pp Yanjun Li, ongnan Luo, and S. M. hung, Text lustering with Feature Selection by Using Statistical Data, IEEE Trans. on Knowledge and Data Engineering (TKDE), Vol. 20, No.5, May 2008, pp Yanjun Li, S. M. hung, and John Holt, Text Document lustering Based on Frequent Word Meaning Sequences, Data and Knowledge Engineering (DKE), Vol. 64, No. 1, Elsevier Science, 2008, pp Yanjun Li and S. M. hung, Parallel Bisecting K-means with Prediction lustering Algorithm, The Journal of Supercomputing, Vol. 39, No. 1, Springer, January 2007, pp ONFERENE PAPERS: Yanjun Li, Ningtao Shi, and D. Frank Hsu, Fusion Analysis of Information Retrieval Models on Biomedical ollections, Proc. of the 14 th International onference on Information Fusion - Fusion 2011, IEEE S Press, 2011, pp Yanjun Li, D. Frank Hsu, and S. M. hung, ombining Multiple Feature Selection Methods for Text ategorization by Using Rank-Score haracteristics, Proc. of the 21 st IEEE International onference on Tools with Artificial Intelligence - ITAI 2009, IEEE S Press, 2009, pp hristina Schweikert, Yanjun Li, David Dayya, David Yens, Martin Torrents and D. Frank Hsu, Analysis of Autism Prevalence and Neurotoxins Using ombinatorial Fusion and Association Rule Mining, Proc. of the 9 th IEEE International onference on Bioinformatics and Bioengineering BIBE 2009, IEEE S Press, 2009, pp John Holt, S. M. hung and Yanjun Li, Usage of Mined Word Associations for Text Retrieval, Proc. of the 19 th IEEE International onference on Tools with Artificial Intelligence - ITAI 2007, Vol.2, IEEE S Press, 2007, pp Yanjun Li 2

hung, ombination of Multiple Feature Selection Methods for Text ategorization by Using ombinatorial Fusion Analysis and Rank-Score haracteristic, International Journal on Artificial Intelligence

3 Yanjun Li and S. M. hung, Text Document lustering Based on Frequent Word Sequences, Proc. of International onference on Information and Knowledge Management IKM 2005, AM Press, 2005, pp PROFESSIONAL ATIVITIES Member of AM and IEEE. Referee for Journals and onferences, including, IEEE Trans. On Multimedia, International Journal on Artificial Intelligence Tools, IEEE Trans. on Knowledge and Data Engineering, Data Mining and Knowledge Discovery, Pattern Recognition Letters, Information Systems Frontiers, Data and Knowledge Engineering, Information Sciences, IEEE International onference on Tools with Artificial Intelligence, International onference on Natural omputation, International onference on Fuzzy Systems and Knowledge Discovery, Workshop on Feature Selection in Data Mining, and International onference on Data Mining. Early areer Reviewer for National Institutes of Health from August Reviewer of Maryland Industrial Partnerships Program, June Session hair of International onference on yber Security 2015, January 5-8, 2015, New York ity, New York. Artificial Intelligence ITAI 2014, Nov , 2014, Limassol, yprus. Artificial Intelligence ITAI 2013, Nov. 4 6, 2013, Washington D, U.S.A. Session hair of International onference on yber Security 2013, August 6-8, 2013, New York ity, New York. Speaker at DIMAS Workshop on Algorithmic Aspects of Information Fusion (WAIF), In partnership with the European ommission onsortium ALGODE, Nov. 8-9, 2012, New Jersey. Artificial Intelligence ITAI 2012, Nov. 7 9, 2012, Athens, Greece. Program ommittee Member of the 8 th International onference on Data Mining DMIN 12, July 16-19, 2012, Las Vegas, Nevada. Session hair of International onference on yber Security 2012, January 9-12, 2012, New York ity, New York. Artificial Intelligence ITAI 2011, Nov. 7 9, 2011, Boca Raton, Florida. Program ommittee Member of the 7 th International onference on Natural omputation and the 8 th International onference on Fuzzy Systems and Knowledge Discovery, July 26 28, 2011, Shanghai, hina. Artificial Intelligence ITAI 2010, October 27-29, 2010, Arras, France. Yanjun Li 3

on Knowledge and Data Engineering, Data Mining and Knowledge Discovery, Pattern Recognition Letters, Information Systems Frontiers, Data and Knowledge Engineering, Information Sciences, IEEE

4 Session hair and Program ommittee Member of International onference on yber Security 2010, August 2 5, 2010, New York ity, New York. Program ommittee Member of Workshop on Feature Selection in Data Mining, PAKDD 2010, June 21 24, 2010, Hyderabad, India. Artificial Intelligence ITAI 2009, November 2 4, 2009, Newark, New Jersey. Program ommittee Member of the 6 th International onference on Fuzzy Systems and Knowledge Discovery FSKD 09, August 14 16, 2009, Tianjin, hina. Program ommittee Member and Session hair of the 5 th International onference on Data Mining DMIN 09, July 13-16, 2009, Las Vegas, Nevada. Session hair of International onference on yber Security 2009, January 6-8, 2009, New York ity, New York. Program ommittee Member and Session hair of IEEE International onference on Tools with Artificial Intelligence - ITAI 2008, November 3-5, 2008, Dayton, Ohio. Artificial Intelligence ITAI 2007, October 29-31, 2007, Patras, Greece. ADMINISTRATIVE SERVIE Graduate Program Marketing ommittee, Department of omputer and Information Sciences, Fordham University, September 2012 Present. Assessment ommittee, Department of omputer and Information Sciences, Fordham University, September 2012 Present. Library ommittee, Fordham University, September 2012 Present. Associate hair for Graduate Studies, Department of omputer and Information Sciences, September 2012 October Director of Bioinformatics Program, Fordham University, January 2012 June olloquium ommittee (Disciplinary and Interdisciplinary Talks), Department of omputer and Information Sciences, Fordham University, January 2012 Present. ontact Person (Faculty Advisor), Advanced ertificate in Financial Programming, Department of omputer and Information Sciences, Fordham University, January 2010 Present. Associate hair for Graduate Studies, Department of omputer and Information Sciences, September 2009 June Graduate urriculum ommittee, Department of omputer and Information Sciences, Fordham University, September 2009 Present. Freshman Advisor, Fordham University, September 2008 June Yanjun Li 4

Program ommittee Member of the 6 th International onference on Fuzzy Systems and Knowledge Discovery FSKD 09, August 14 16, 2009, Tianjin, hina.

5 ontact Person (Faculty Advisor), Advanced Biomedical Informatics ertificate Program, Department of omputer and Information Sciences, Fordham University, July 2008 August Undergraduate urriculum ommittee, Department of omputer and Information Sciences, Fordham University, September 2007 Present. System ommittee, Department of omputer and Information Sciences, Fordham University, September 2007 Present. STUDENTS ADVISED Erin M. Burke, 2015, Master s Thesis, ombinatorial Fusion Analysis: Applications for yber Security and E-discovery, Fordham University, Dept. of omputer and Information Sciences (Reader). Tamer M. Aly, 2015, Master s Thesis, Analysis of Dual Auditory Systems Using ombinatorial Fusion, Fordham University, Dept. of omputer and Information Sciences (Reader). Shaun Gallagher, 2014, Master s Thesis, Smartphone Sensor Data Mining for Gait Abnormality Detection, Fordham University, Dept. of omputer and Information Sciences (Reader). Elena Paolercio, 2013, Master s Thesis, On the Fusion of Two Visual Perception Systems Utilizing ognitive Diversity, Fordham University, Dept. of omputer and Information Sciences (Reader). ameron Mcmunn-offran, 2012, Master s Thesis, ombining Visual ognition Systems for Joint Decision Making Using ombinatorial Fusion, Fordham University, Dept. of omputer and Information Sciences (Reader). Ningtao Shi, 2010, Master s Thesis, Fusion Analysis of Information Retrieval Models on Biomedical ollections, Fordham University, Dept. of omputer and Information Sciences (Advisor). Qiang Ma, 2008, Master s Thesis, A Graph-Based ollaborative Approach to Recommender Systems, Fordham University, Dept. of omputer and Information Sciences. (Reader). Yanjun Li 5

System ommittee, Department of omputer and Information Sciences, Fordham University, September 2007 Present. STUDENTS ADVISED Erin M.

Ph.D. in Bioinformatics and Computational Biology Degree Requirements

Ph.D. in Bioinformatics and Computational Biology Degree Requirements Credits Students pursuing the doctoral degree in BCB must complete a minimum of 90 credits of relevant work beyond the bachelor s degree;