GAYATREE GANU

Address: ** ****** ****, **********, ** 08854

Website: http://eden.rutgers.edu/~gganu/

Email: abqjls@r.postjobfree.com

Phone: 732-***-****

Rutgers University, New Brunswick, NJ

EDUCATION

PhD in Computer Science, since September 2008 (in progress)

Rutgers University, New Brunswick, NJ

Masters of Science degree in Computer Science, January 2009 - Cumulative GPA: 3.8

Sardar Patel College of Engineering (SPCE), Mumbai University, India

Bachelor of Engineering in Information Technology, June 2006 - Graduating Percentage: 69%

PUBLICATIONS Patent Pending Contextually Propagating Semantic Knowledge over Large Datasets,

Branislav Kveton, Gayatree Ganu, Yoann Bourse, Osnat Mokryn, Christophe Diot, April 2012

Improving the Quality of Prediction using Textual Information in Online User Reviews,

Gayatree Ganu, Yogesh Kakodkar, Am lie Marian Information Systems, March 2013

Beyond the Stars: Improving Rating Predictions using Review Text Content, Gayatree Ganu,

Am lie Marian, No mie Elhadad Twelfth International Workshop on the Web and Databases

(WebDB 2009) June 28, 2009, Providence, Rhode Island, USA.

One Size Does Not Fit All: Multi-Granularity Search of Web Forums, Gayatree Ganu, Am lie

Marian (In submission)

Nearly Optimal Semi-Supervised Learning Subgraphs, Gayatree Ganu, Branislav Kveton

(In submission)

User Reviewing Trends, Gayatree Ganu, No mie Elhadad, Am lie Marian Rutgers DCS

Technical Report No.668 (2010)

One Size Does Not Fit All: Multi-Granularity Search of Web Forums, Gayatree Ganu, Am lie

Marian, Poster presentation at Grace Hopper Celebration, Oct 2012 (Baltimore, MD)

Understanding User Reviewing Patterns, Gayatree Ganu, No mie Elhadad, Am lie Marian,

Poster presentation at CRA-W Grad Cohort, March 2008 (Seattle, WA) and Grace Hopper

Celebration, Oct 2008 (Keystone, CO)

User Review Structure Analysis URSA, Gayatree Ganu, No mie Elhadad, Am lie Marian,

Poster presentation at Rutgers Day, April 2009

Patient Emotion and stRucture SEarch USer tool (PERSEUS), since Fall 2010

RESEARCH

Implemented a multi-granularity search system to find information at the right focus levels.

PROJECTS

Designed a novel hierarchical scoring function and developed an optimal algorithm for

generating a non-overlapping result set.

Conducted large scale crowd-sourced relevance assessment.

Aim to utilize social network of users to find experts and make recommendations.

User Review Structure Analysis(URSA), 2007 - 2010

Used Natural Language Processing tools and Machine Learning algorithms to classify free

form text in restaurant reviews at the sentence level with category and sentiment information.

Used the structure augmented review text for developing a text-based recommendation system.

Studied several approaches for making accurate personalized recommendations.

Compared the performance of the text-based recommendation system to that of the star rating-

based system, found that the rich text is better at making accurate predictions.

Implemented fine-grained sentiment predictions towards individual restaurant features.

Find information on the URSA project at http://www.research.rutgers.edu/~gganu/

Inference on Large Graphs, Technicolor (Palo Alto, CA), Summer 2010

Worked on automatically detecting topical information on large text corpora in the restaurants

and hotels domains.

Designed a novel semantic propagation algorithm that learns topics from a small set of seed

words and gradually grows the graph guided by contextual descriptors.

Friends are Experts : Collaborative Query Refinement, 2008

The FAE system provided a co-operative setting amongst friends to iteratively refine a query,

while using the expertise of one s friends on a particular topic.

Observed that the average query result relevance for response queries was significantly higher

than the responses for original base queries.

Developed application on Facebook platform. Used PhP, JavaScript, Ajax, MySQL

Invited talk at Google, New York, April 2009 - Beyond the Stars: Improving Rating Predictions

AWARDS AND

using Review Text Content

ACHIEVEMENTS

Awarded third prize in the poster presentation competition at DB/IR Day 2008, Columbia

University Understanding User Reviewing Patterns

Awarded the Google ECIR conference grant and travel award to attend the European

Conference on Information Retrieval, April 2009

Successfully completed a certified teaching excellence workshop, Spring 2007

Center for Intl. Faculty and Students Services, Rutgers University Website, 2007

OTHER

Developed a website of over 100 pages covering legal, academic and cultural topics to help

PROJECTS

new International students coming to Rutgers.

Website Development and Optimization using Usability Engineering, 2006

Developed a commercial website for a Hotel in London mainly containing static web pages

with jsp for the online booking forms.

Applied principles of Usability Engineering and Search Engine Optimization.

WORK Graduate Assistant since Fall 2008

Department of Computer Science, Rutgers University

EXPERIENCE

Research Intern Summer 2011

Technicolor Palo Alto Research Center, CA

Instructor: Computer Applications for Business - Summer 2007 through Spring 2008

Department of Computer Science, Rutgers University

Teaching Assistant: Computer Applications for Business - Fall 2006 and Spring 2007

Department of Computer Science, Rutgers University

Teaching Fellow: Subjects in Mathematics (Elementary Algebra to Calculus)- Fall 2006

Education Opportunities Fund, Rutgers University

Information Assistant performing development and maintenance tasks - Fall 2006

Campus Information Services, Rutgers University

List of the courses taken at Rutgers University:

COURSES

Theory Category: Design and Analysis of Algorithms, Foundations of Computer Science,

Numerical Analysis, Network and Combinatorial Optimization Algorithms, Network Design

and Game Theory, Independent Study Graph Theory

Systems Category: Operating Systems, Database Systems, Principles of Artificial Intelligence,

Web Data Management, Language and Information, Independent Study Text Categorization,

Collaborative Filtering, Sentiment Analysis

Light Seminars: Readings in Data Management, Readings in Differential Privacy, Ongoing

Systems research, Readings in Personal Information Management Systems, Readin gs in

Algorithms, Game theory and Data Mining for Internet Ad Systems

CO-CURRICULAR Volunteer to teach Technology Classes to adults at Piscataway Public Library, Fall 2012

Web administrator for WebDB Workshop, 2011

ACHIEVEMENTS

Mentored and advised two Master s students working on the URSA and PERSEUS projects

Invited to review paper for WSDM-2009 Late-Breaking Results Track

Mentored a Computer Science Undergraduate Student, Fall 2009

Spoke on Panel for discussing Graduate School opportunities for undergraduate students

Volunteered for International Students Orientation - Rutgers, Fall 2007 through Fall 2009

Chaired the International Students Activities Committee Rutgers, 2008/2009

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