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Tian Mi

 

Ph.D. Student

Dept. of Computer Science and Engineering

University of Connecticut

371 Fairfield Rd., Unit 4155

Storrs, CT 06269-4155

Email: tian.mi@engr.uconn.edu            

 

 

INTRODUCTION

I am a Ph.D. student, in Department of Computer Science & Engineering at University of Connecticut. [RESUME]

My advisor is Dr. Sanguthevar Rajasekaran.                          

EDUCATION

Ph.D. in Computer Science and Engineering         July 2013

University of Connecticut, Storrs, CT USA

Advisor: Dr. Sanguthevar Rajasekaran

B.E. in Computer Science and Engineering           July 2007

Northeastern University, Shenyang, Liaoning China

RESEARCH INTERESTS

Algorithms and Complexity, Machine Learning and Data Mining, Parallel and High-Performance Computing, Combinatorial Optimization, External Memory Algorithms, Bioinformatics and Computational Biology, Biomedical Informatics

RESEARCH EXPERIENCE

Research Assistant    August, 2007 – present

Applied Algorithms Lab with Dr. Sanguthevar Rajasekaran, University of Connecticut, Storrs, CT

  • Data linkage from multiple sources: developed scalable algorithms to integrate large datasets from multiple sources. The application has been used as π (Probabilistic Integrator) by Connecticut Health Information Network (CHIN), UConn Health Center.
  • Minimotif Miner: developed new prediction filters to improve the accuracy of the web-based protein minimotif search engine (http://mnm.engr.uconn.edu). Combined individual filters using linear regress, SVM, and neural network and received significant accuracy improvement. (Please also see Dr Martin R. Schiller)
  • Exact algorithms for out-of-core selection: developed external memory algorithms for selection on parallel disk model and proposed two-pass algorithms. (manuscript in preparation)

WORK EXPERIENCE

Summer Intern (full-time)     May, 2011 – August, 2011

Applied Research Group with Dr. Zheng Yi Wu, Bentley Systems, Watertown, CT

  • Speeded up an optimization solver (Darwin Framework) by 40 times sequentially.
  • Parallelized the framework on Structure Model Identification applications.
  • Delivered a Beta version of the framework.

PUBLICATIONS

Mamun AA, Mi T, Aseltine R, Rajasekaran S, Efficient sequential and parallel algorithms for record linkage. J Am Med Inform Assoc 2013 Oct 23. doi: 10.1136/amiajnl-2013-002034.

Mi T, Rajasekaran S, Effcient Algorithms for Biological Stems Search. BMC Bioinformatics 2013,14(1): 161.

Mi T, Rajasekaran S, A Two-Pass Exact Algorithm for Selection on Parallel Disk Systems. In Proceedings of In Proceeding of IEEE symposium on Computers and Communications, (ISCC'13) .

Mi T, Rajasekaran S, Merlin JC, Gryk M, Schiller MR, Achieving High Accuracy Prediction of Minimotifs. PLoS ONE 2012,7(9): e45589.

Mi T, Rajasekaran S, Aseltine R, Efficient algorithms for fast integration on large data sets from multiple sources. BMC Med Inform Decis Mak. 2012; 12:59.

Merlin JC, Rajasekaran S, Mi T, Schiller MR, Reducing False-Positive Prediction of Minimotifs with a Genetic Interaction Filter. PLoS ONE 2012, 7(3):e32630.

Mi T, Merlin JC, Deverasetty S, Gryk MR, Bill TJ, Brooks AW, Lee LY, Rathnayake V, Ross CA, Sargeant DP, Strong CL, Watts P, Rajasekaran S, Schiller MR, Minimotif Miner 3.0: database expansion and significantly improved reduction of false-positive predictions from consensus sequences, Nucleic Acids Res, 2012 Jan;40(Database issue):D252-60.

Rajasekaran S, Merlin JC, Kundeti V, Mi T, Oommen A, Vyas J, Alaniz I, Chung K, Chowdhury F, Deverasatty S, Irvey TM, Lacambacal D, Lara D, Panchangam S, Rathnayake V, Watts P, Schiller MR, A computational tool for identifying minimotifs in protein-protein interactions and improving the accuracy of minimotif predictions. Proteins: Structure, Function, and Bioinformatics 2011, 79:153-164.

Rajasekaran S, Mi T, Merlin JC, Oommen A, Gradie P, Schiller MR, Partitioning of Minimotifs Based on Function with Improved Prediction Accuracy. PLoS ONE 2010, 5(8):e12276.

Rajasekaran S, Balla S, Gradie P, Gryk MR, Kadaveru K, Kundeti V, Maciejewski MW, Mi T, Rubino N, Vyas J, Schiller MR, Minimotif miner 2nd release: a database and web system for motif search. Nucleic Acids Research 2009, 37(suppl 1):D185-D190.

Mi T, Aseltine R, Rajasekaran S, Data Integration on Multiple Data Sets. In Proceedings of IEEE International Conference on Bioinformatics and Biomedicine, (BIBM '08). 2008:443-446.

TECHNICAL SKILLS

Programming language: C/C++, C#, Java, Python, R

Operating Systems: Windows, Unix/Linux, Mac OS

Database Systems: MySQL, Microsoft SQL Server

Web Development: HTML, JavaScript, JSP, ASP.NET, PHP

HONORS AND AWARDS

Doctoral Dissertation Fellowship, Univ. of Connecticut       January 2013

Membership of Upsilon Pi Epsilon     November 2011

Graduate PreDoctoral Fellowship, Univ. of Connecticut      April 2010

Scholarship by Journal of “China Computer World”         December 2006

Outstanding Student Leader, Northeastern Univ. (CN)        December 2006

Excellent Student, Northeastern Univ. (CN)         December 2004

Excellent Coursework Performance, Northeastern Univ. (CN)         December 2004

First-class Scholarship, Northeastern Univ. (CN)       2004, 2005, 2006

Third Prize in China National Mathematics Olympiad in High School, Chinese Mathematics Society            2002