Mehala | Vidyashilp University Faculty

Dr. N. Mehala

Associate Professor,
School of Computational and Data Sciences
Former Faculty with CSIS, BITS Pilani and Nucleus member of the BITS WILPD
Former Associate Professor, PES University
Ph.D. in Computer Science, BITS-Pilani
Mail| Tania Islam Vidyashilp University Faculty


Biography
Professional Education
Teaching Courses
Research Interests
Selected Publications
Research Projects
Undertaken
Research Supervisor to
Biography

Dr.Mehala N holds a PhD in computer Science from BITS (Birla Institute of Technology & Science), Pilani. A former faculty with CSIS, BITS Pilani and nucleus member of the BITS Work Integrated Learning Program Division. Dr. Mehala has about 20 years of experience, specializing in Information Retrieval and Natural Language Processing. She has also steered large scale ERP implementation. Dr. Mehala is an Advisor to Makonis Software solutions Pvt. Ltd. Before joining Vidyashilp, she was an Associate Professor with PES University.


Professional Education
Degree Year University
Ph.D 2016 Birla Institute of Technology & Science-Pilani
M.E (CSE) 2004 Anna University
B.E (CSE) 2001 Madurai Kamaraj University

Teaching Courses
  • Design Workshop
  • Data Structures
Analysis of Algorithms
  • Computer Programming
  • Data Mining
  • Compiler Design
  • Theory of Computation
  • Object Oriented Programming using Java
  • Object Oriented Analysis and Design
  • Web Frameworks (Django and React.js)
  • Machine Intelligence
  • Information Retrieval
  • Web Search Mining

Research Interests
  • Recommendation System
  • Web Clustering Engines
  • Meta search Engine Performance Improvement
  • Content/Topic Extraction and Organization
  • Social Network Analysis

Selected Publications

IN CONFERENCES:

  • Mehala N, Mayank Kamthan, and Sudarshan T S B (2009). Improving Web Ranking from Click Through Data and Implicit Link. In Proceedings of 3rd International Conference on Information Processing, August 7-9 2009, Bangalore, India.
  • Goyal P and Mehala N (2011). Concept based query recommendation. In Proceedings of the Ninth Australasian Data Mining Conference (AusDM) (pp. 69-78), Volume 121. ACM, Ballarat, Australia.
  • Goyal P, Mehala N, and Dipen Thakkar (2012). Incremental Model for Query Clustering. In Proceedings of the FIRE 2012 Conference, December 17-19 2012, Kolkata, India.
  • Mehala N, Goyal P, and Bhatia D (2015). An Approach for Search Result Topic Identification and Labeling. CoDS '15, Mar 18-21, 2015, Bangalore, India. ACM IKDD, 978-1-4503-3436-5/15/03. Read More

IN JOURNALS:

  • Goyal, P., Mehala, N., and Bansal, A. (2013). A robust approach for finding conceptually related queries using feature selection and tripartite graph structure. Journal of Information Science. 39(5), 575-592. Read More
  • Mehala N., Goyal, P., and Goyal N (2015). Incremental Models for Query Clustering and Query-Context Aware Document Clustering. International Journal of Knowledge and Web Intelligence. DBLP, 5(2), 146-167. DOI: 10.1504/IJKWI.2015.075167.
  • Mehala N., Goyal, P., and Bhatia D (2017). Topical Document clustering: Hard to Soft Two-stage Post Processing Technique. International Journal of Data Mining, Modelling and Management. Read More
  • Tapas Guha and Dr. Mehala N (2019). Latent Semantic Analysis in Automatic Text Summarization: A state of the art analysis. Int. J. of Intelligence and Sustainable Computing.
  • Divya and Dr. Mehala N (2019). Fake news detection - A survey. International Journal of Computer Sciences and Engineering. Volume-07, Special Issue-16, May-2019 edition.
  • Dr. Mehala N., and Bhatia D (2020). A Concept-Based Approach for Generating Better Topics for Web Search Results. SN Comput. Sci. 1(5): 294 (SPRINGER)
  • Bhatia D., and Mehala N (2023). Automatic Generation of Topic Hierarchy: A Query Context-Aware Approach.

Research Projects Undertaken

Ongoing Industry Colloborative Research Projects

  • Video Retrieval System for the Educational Domain integrating ERP system
  • Automatic Evaluation System integrating LMS System

Research Supervisor to
  • Ms.Divyashree S , Video Retrieval system , Vidyashilp University

Dr.Mehala N holds a PhD in computer Science from BITS (Birla Institute of Technology & Science), Pilani. A former faculty with CSIS, BITS Pilani and nucleus member of the BITS Work Integrated Learning Program Division. Dr. Mehala has about 20 years of experience, specializing in Information Retrieval and Natural Language Processing. She has also steered large scale ERP implementation. Dr. Mehala is an Advisor to Makonis Software solutions Pvt. Ltd. Before joining Vidyashilp, she was an Associate Professor with PES University.

Degree Year University
Ph.D 2016 Birla Institute of Technology & Science-Pilani
M.E(CSE) 2004 Anna University
B.E (CSE) 2001 Madurai Kamaraj University
  • Design Workshop
  • Data Structures
Analysis of Algorithms
  • Computer Programming
  • Data Mining
  • Compiler Design
  • Theory of Computation
  • Object Oriented Programming using Java
  • Object Oriented Analysis and Design
  • Web Frameworks (Django and React.js)
  • Machine Intelligence
  • Information Retrieval
  • Web Search Mining
  • Recommendation System
  • Web Clustering Engines
  • Meta search Engine Performance Improvement
  • Content/Topic Extraction and Organization
  • Social Network Analysis

IN CONFERENCES:

  • Mehala N, Mayank Kamthan, and Sudarshan T S B (2009). Improving Web Ranking from Click Through Data and Implicit Link. In Proceedings of 3rd International Conference on Information Processing, August 7-9 2009, Bangalore, India.
  • Goyal P and Mehala N (2011). Concept based query recommendation. In Proceedings of the Ninth Australasian Data Mining Conference (AusDM) (pp. 69-78), Volume 121. ACM, Ballarat, Australia.
  • Goyal P, Mehala N, and Dipen Thakkar (2012). Incremental Model for Query Clustering. In Proceedings of the FIRE 2012 Conference, December 17-19 2012, Kolkata, India.
  • Mehala N, Goyal P, and Bhatia D (2015). An Approach for Search Result Topic Identification and Labeling. CoDS '15, Mar 18-21, 2015, Bangalore, India. ACM IKDD, 978-1-4503-3436-5/15/03. Read More

IN JOURNALS:

  • Goyal, P., Mehala, N., and Bansal, A. (2013). A robust approach for finding conceptually related queries using feature selection and tripartite graph structure. Journal of Information Science. 39(5), 575-592. Read More
  • Mehala N., Goyal, P., and Goyal N (2015). Incremental Models for Query Clustering and Query-Context Aware Document Clustering. International Journal of Knowledge and Web Intelligence. DBLP, 5(2), 146-167. DOI: 10.1504/IJKWI.2015.075167.
  • Mehala N., Goyal, P., and Bhatia D (2017). Topical Document clustering: Hard to Soft Two-stage Post Processing Technique. International Journal of Data Mining, Modelling and Management. Read More
  • Tapas Guha and Dr. Mehala N (2019). Latent Semantic Analysis in Automatic Text Summarization: A state of the art analysis. Int. J. of Intelligence and Sustainable Computing.
  • Divya and Dr. Mehala N (2019). Fake news detection - A survey. International Journal of Computer Sciences and Engineering. Volume-07, Special Issue-16, May-2019 edition.
  • Dr. Mehala N., and Bhatia D (2020). A Concept-Based Approach for Generating Better Topics for Web Search Results. SN Comput. Sci. 1(5): 294 (SPRINGER)
  • Bhatia D., and Mehala N (2023). Automatic Generation of Topic Hierarchy: A Query Context-Aware Approach.

Ongoing Industry Colloborative Research Projects

  • Video Retrieval System for the Educational Domain integrating ERP system
  • Automatic Evaluation System integrating LMS System
  • Ms.Divyashree S , Video Retrieval system , Vidyashilp University
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