Deepa Gupta
Data science

Deepa Gupta

Current position
PhD, Associate Professor at Amrita School of Engineering
Skills
Natural Language Processing
Data Mining
Text analytics
Machine Learning
Statistical Machine Translation

Personal web
https://www.amrita.edu/faculty/dr-deepa-gupta
Social

THE COURSES

  • Theory of Probability and Statistics

About

Dr. Deepa Gupta received the bachelor degree in Mathematics from Delhi University (India) with honors in 1997, the Master in Mathematics from Indian Institute of Technology Delhi (IITD), India in 1999, and the Ph.D. in Natural Language Processing from Department of Mathematics and computer application from IIT Delhi in 2005.

She worked as a Postdoc researcher at FBK-IRST (Center for Scientific and Technological Research), Trento, Italy from February 2005 to March 2007. She worked as an Assistant Professor at IIIT Bangalore, India from April 2007 to December 2007. And from 2009 to July 2014, she is associated with Amrita Vishwa Vidyapeetam as Assistant Professor in the department of Mathematics.

From July 2014, she is working as an Associate professor in the same institute. Her research interest include Natural Language Processing, Statistical Machine Translation, Data Mining, Text analytics , Machine Learning etc

Experience

Associate Professor
Amrita School of Engineering
2014 - present | Bangalore, India

Assistant Professor
Amrita School of Engineering
2009 - 2014 | Bangalore, India

Assistant Professor
International Institute of Technology
2007 | Bangalore, India

Postdoctoral researcher
Fondazione Bruno Kessler (FBK) Research Lab in Human Language Technology Group
2005 - 2007 | Trento Italy

Summer project intern
TATA Info Tech Limited, Research Group
2003 | New Delhi, India

Teaching Assistantship
Indian Institute of Technology Delhi (IITD)
1999-2004 | India

Education

Delhi University
Bachelor, Mathematics
1997 | India

Indian Institute of Technology, Delhi (IITD)
Master, Applied Mathematics
1999 | India

Indian Institute of Technology, Delhi (IITD)
PhD, Natural Language Processing
2005 | India

FUNDED RESEARCH PROJECTS

  • Exploration of Machine Learning Techniques for Clinical Data
  • Implementation of Intensive Natural Language Processing & Soft Computing Technology Based Extrinsic Plagiarism Detection Tool

SELECTED PUBLICATIONS

  • K. Vani & D. Gupta, 2017, “Detection of idea plagiarism using syntax–semantic concept extractions with genetic algorithm. Expert Systems with Applications 73(1),pp. 11-26 (IF: 2.981), Elsevier. (Scopus)
  • K. Vani & D. Gupta, 2016, “A Study on Extrinsic Text Plagiarism Detection Techniques and Tools”, Journal of Engineering Science And Technology Review, 9(4),pp. 150-164. Eastern Macedonia and Thrace Institute of Technology(Scopus),
  • Riya Ravi N and Deepa Gupta, 2015, "A Plagiarized Source Retrieval System Developed using Efficient Download Filtering and POS Tagged Query Formulation with Effective Paragraph based chunking", International Journal of Artificial Intelligence, 2016 Spring (March), Volume 14, Number 1 page. 145- 160. (Indexed: Scopus )
  • Deepa Gupta, Vani K., Leema L. M., 2016. "Plagiarism Detection in Text Documents using Sentence Bounded Stop word N-Grams", Journal of Engineering Science & Technology (JESTEC), Vol. 11, Issue 10, October 2016. (Indexed: Scopus, IF : 0.23)
  • K. Jaya and Deepa Gupta, 2016, "Exploration of Corpus Augmentation Approach for English-Hindi Bidirectional Statistical Machine Translation System", International Journal of Electrical and Computer Engineering (IJECE) (accepted) (Indexed: Scopus )
  • Deepa Gupta, Aswathi T. and Rahul Kumar Yadav. 2015. “Investigating Bidirectional Divergence in Lexical-Semantic Class for English-Hindi-Dravidian Translations”, International Journal of Applied Engineering Research, Vol. 10, No. 24, pp.8851-8884 (Indexed: Scopus).
  • Priyanka C. and Deepa Gupta, 2015, "Fined Grained Sentiment Analysis of Customer Reviews Using Computational Intelligent Technique" International Journal of Engineering and technology (IJET), Vol 7 No 4, pp:1453-1468, AugSep 2015 (Indexed: Scopus)

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