Urmi Majumder

Graduate Student


Office: D104 LSRC
Department of Computer Science
Duke University
P.O.Box 90129
Durham, NC 27708-0129 USA

Phone: 1-919-660-6504
Email: urmim@cs.duke.edu



Theses

Masters of Science Thesis, Fall 2004 - Fall 2007

(Committee: John Reif, Thom LaBean, Bruce Donald, Chris Dwyer)

Towards compact robust DNA self-assembly: modeling, simulation and experiments

Since our physical experiments showed that computational assemblies we developed error correction techniques for increasing robustness in computational assemblies. We also developed a stochastic model for computing equilibrium yields and convergence rates of erroneous assemblies and error rates at near equilibrium.

Bachelor's of Technology Thesis, Spring 2003 - Spring 2004

(Supervisor, Sudeb Prasant Pal, IIT Kharagpur)

Quality of Service for internet, multimedia and other real time systems

We developed an analytical model for the top (application) layer of the internet in order to deliver better latency and QoS for various internet services and evaluated its performance using simulation models. This also includes study of dynamic schemes for resource management of memory and bandwidth in the internet so that latency can be improved for the average case as well as the worst case. The issue of real time and multimedia traffic is one step ahead of that for networks. We incorporated parametric decompression into the existing model to improve the document retrieval latency for dynamic requests from huge databases.


Research Initiation Project

Fall 2005 - Spring 2006

(Committee: John Reif, Thom LaBean, Alex Hartemink, Chris Dwyer)

Self-Assembly across scales

We studied computational self-assembly processes in both nano and macro scales.

I was awarded the most outstanding Research Initiation Project, 2006 from the Department of Computer Science, Duke University for this project

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Nanoscience Rotation Project

Fall 2007 - Spring 2008

(Committee: Thom LaBean and John Reif)

Meso-scale magnetic self-assembly capable of complex computation

We designed magnetic barcodes to encode computation in meso-scale tiles that can self- assemble to perform computation when agitated.


Graduate Course Projects