Shuvra Kanti Nath - Texas A&M University

Shuvra Kanti Nath
416 Stasney St phone: (979) 402–0126
Apt 6
email: shuvracse03@gmail.com
College Station, TX 77840
url: http://parasol.tamu.edu/people/shuvra03
Education
MS, Computer Science
Texas A&M University, College Station, TX GPA: 4.0 Expected 05/2013
Research Focus: Robotic motion planning algorithms and their applications to computational biology
Bachelor of Science, Computer Science and Engineering
Bangladesh University of Engineering and Technology, Dhaka, Bangladesh GPA:3.88 March. 2009
Research Focus: Point Placement and Related Problem in Bioinformatics
Honors and Awards
Dean’s List, Bangladesh University of Engineering and Technology, 2004 – 2006
Experience
Research Assistant
Parasol Lab, Dept. of Computer Science and Engr., Texas A&M University
09/10 – Present
My work is focused on motion planning algorithms and their applications to computational biology.
• Designed and implemented a new algorithm, Multi-directional Rapidly Exploring Random Graph for motion
planning. This is an unification and generalization of traditional RRT and RRG algorithm. This also extends
the RRG algorithm by allowing expansion to multiple directions.
• Worked on user-guided motion planning. It is aimed at integrating the power of human and computer and
developing co-operative strategy. Currently, I am working on a novel user-guided motion planning strategy
where the user can guide the planner by attracting/repelling to/from certain critical/difficult regions.
• Also worked on resampling based path smoothing strategy for motion planning and protein folding.
Quantitative Software Developer
Stochastic Logic Limited, ACI, Dhaka, Bangladesh 08/09 -08/10
Responsibilities: Analysis, classification, prediction, visual representation of financial data using techniques of
machine learning, statistical modeling, simulation and data mining.
Publications in Refereed Journals and Conferences
Shuvra Kanti Nath, Shawna Thomas, Chinwe Ekenna and Nancy M. Amato, ”Multi-Directional Rapidly Exploring
Random Graph (mRRG) for Protein Folding”, In ACM Conference on Bioinformatics, Computational Biology and
Biomedicine, Orlando, FL, U.S.A., October 2012.(regular paper acceptance rate:33/159=20%)
Presentations
”Multi-Directional Rapidly Exploring Random Graph (mRRG) for Protein Folding”, In ACM Conference on Bioinformatics,
Computational Biology and Biomedicine, Orlando, FL, U.S.A, October 2012.
Technical Skills
Programming Languages : C/C++, C#, Java, Assembly Languauge(x86), Action Script 3.0, SQL, Oracle, OpenGL,
PROLOG, Perl, Verilog
Web Development Tools : PHP, ASP.NET
Parallel Programming Tools & Libraries : MPI, OpenMP, STAPL
Operating Systems: Linux, Unix, MS Windows
Software: Visual Studio, Matlab, Microwind, PSPICE
Professional Activities
ACM Student Member
08/12 – Present

IEEE Member
10/12 – Present
Reviewer for Scientific Conferences and Journals:
International Conference on Robotics and Automation(ICRA), IEEE/RSJ International Conference on Intelligent
Robots and Systems(IROS), IEEE Transactions on Robotics, Workshop on the Algorithmic Foundations of Robotics
(WAFR), Computer Animation and Virtual Worlds (CAVW), Journal of Intelligent & Robotic Systems(JINT), Research
in Computational Molecular Biology(RECOMB), BMC Bioinformatics, Proteins: Structure, Function, and
Bioinformatics.