Vaishnavi Subramanian

Graduate Student
Electrical and Computer Engineering
University of Illinois at Urbana-Champaign

My research advisor is Prof Minh Do of the Electrical and Computer Engineering department.

I am interested in signal processing, machine learning and its use in medical applications.

:)

Current & Past Affiliations

University of Illinois at Urbana-Champaign
Degree in Master of Science, Electrical and Computer Engineering
Advisor: Prof Minh Do
2016-present
2012-2016 Indian Institute of Technology Bombay
Degree in Bachelor of Technology, Electrical Engineering
Advisors: Prof V Rajbabu & Prof Sibiraj Pillai
Research Internship
Adobe Systems, Bangalore
Advisor: Dr Natwar Modani
May-July 2015

My Work

For a PDF version, please see here.

Research Project (Jan '17 - present)
University of Illinois at Urbana-Champaign
Advisor: Prof Minh Do

Correlating Features of Histopathology Images and Genomics

Working on nuclei segmentation tasks to separate out nuclei in histopathology images. Developing techniques to effectively combine the nuclei locations and nuclei features with the genetic information. Aiming to predict prognosis of breast cancer patients by combining the nuclei and genetic features.

Fat - Water Separation in Liver MRI Images

Developed a user-friendly GUI tool in MATLAB to accurately determine the Proton Density Fat Fraction (PDFF) from magnitude MRI images of liver, for the diagnosis of Non-Alcoholic Fatty Liver Disease (NAFLD). Incorporated sparsity based optimization techniques to reduce the computation time 10-fold. Working on testing various models to identify the best model for the PDFF determination.

Software Development Project (Jan '17 - Sept '17 )
University of Illinois at Urbana-Champaign
with PAREXEL, MA
Advisors: Prof Minh Do, David Bennett & Elif Sikoglu

Undergraduate Thesis (July '15 - July '16)
Indian Institute of Technology Bombay
Advisors: Prof. Sibi Raj Pillai & Prof. V. Rajbabu

Matrix Completion in Atmospheric Radar

Studied and modeled the mechanism of the radar system in order to recognize possibilities of improving its accuracy in Doppler frequency estimation. Identified methods to utilize the sparsity of radar returns in time and frequency domains to develop a more efficient signal processing block. Explored possibilities to fill in missing values from a set of incomplete measurements of radar data using matrix completion techniques in the range-frequency domain

Multimedia Content Summarization

Designed a novel summarization method to produce a more informative and coherent summary by accounting for information content of both images and sentences. Developed two algorithms to generate the summaries - an iterative greedy graph-based algorithm and a submodular-based optimization approach. Integrated deep learning methods such as convolutional neural nets for images and recursive autoencoders for text to represent the text and images.

Research Internship (May - July '15)
Adobe Systems, Bangalore
Advisor: Dr Natwar Modani

Publications & Patents

  1. Modani, Natwar, Pranav Maneriker, Gaurush Hiranandani, Atanu R. Sinha, Vaishnavi Subramanian, and Shivani Gupta. "Summarizing Multimedia Content." In International Conference on Web Information Systems Engineering, pp. 340-348. Springer International Publishing, 2016. [link]
     
  2. Modani, Natwar, Vaishnavi Subramanian, Shivani Gupta, Pranav Ravindra Maneriker, Gaurush Hiranandani, and Atanu R. Sinha. "Determining quality of a summary of multimedia content." U.S. Patent 9,454,524, issued September 27, 2016. [link]
     
  3. Modani, Natwar, Vaishnavi Subramanian, Shivani Gupta, Pranav R. Maneriker, Gaurush Hiranandani, and Atanu R. Sinha. "Multimedia Document Summarization." U.S. Patent Application 14/947,964, filed November 20, 2015. [link]

 

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111, Coordinated Science Lab
University of Illinois at Urbana-Champaign

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vs5[AT]illinois[DOT]edu