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Mehala | Vidyashilp University Faculty

Dr. N. Mehala

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


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

Dr. Mehala has about 20+ years of experience, specializing in Information Retrieval and Search Engine optimization algorithms. Dr. Mehala N holds a PhD in computer Science from BITS (Birla Institute of Technology & Science)-Pilani, Pilani Campus. Her academic journey also includes a decade stint as a faculty member with the Computer Science and Information Systems (CSIS) department at BITS-Pilani, Pilani Campus.

Beyond academia, Dr. Mehala has showcased her expertise in steering large-scale ERP implementations, demonstrating her proficiency in both theoretical knowledge and practical application. Currently, she serves as an Advisor to Makonis Software Solutions Pvt. Ltd., leveraging her vast experience to guide and shape innovative software solutions.

Additionally, Dr. Mehala has been an integral part of the Work Integrated Learning Programming Division at BITS-Pilani, which focuses on providing degree programs tailored for employed professionals. Through this role, she has imparted her knowledge to working professionals from leading companies such as Wipro Technologies, Jio, Mindtree and CISCO among others.

Her multifaceted experience across academia, industry, and advisory roles contributes to shaping the minds of the next generation.


Professional Education
Doctor of Philosophy (Ph.D):

Birla Institute of Technology & Science-Pilani, Pilani

M.E (Computer Science and Engineering):

Anna University

B.E(Computer Science and Engineering):

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
  • Machine Intelligence
  • Information Retrieval

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.
  • Mehla 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
  • Automatic Evaluation System

Research Supervisor to
  • Ms.Divyashree S , Vidyashilp University

Dr. Mehala has about 20+ years of experience, specializing in Information Retrieval and Search Engine optimization algorithms. Dr. Mehala N holds a PhD in computer Science from BITS (Birla Institute of Technology & Science)-Pilani, Pilani Campus. Her academic journey also includes a decade stint as a faculty member with the Computer Science and Information Systems (CSIS) department at BITS-Pilani, Pilani Campus.

Beyond academia, Dr. Mehala has showcased her expertise in steering large-scale ERP implementations, demonstrating her proficiency in both theoretical knowledge and practical application. Currently, she serves as an Advisor to Makonis Software Solutions Pvt. Ltd., leveraging her vast experience to guide and shape innovative software solutions.

Additionally, Dr. Mehala has been an integral part of the Work Integrated Learning Programming Division at BITS-Pilani, which focuses on providing degree programs tailored for employed professionals. Through this role, she has imparted her knowledge to working professionals from leading companies such as Wipro Technologies, Jio, Mindtree and CISCO among others.

Her multifaceted experience across academia, industry, and advisory roles contributes to shaping the minds of the next generation.

Doctor of Philosophy (Ph.D):

Birla Institute of Technology & Science-Pilani, Pilani

M.E (Computer Science and Engineering):

Anna University

B.E(Computer Science and Engineering):

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
  • Machine Intelligence
  • Information Retrieval
  • 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.
  • Mehla 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
  • Automatic Evaluation System
  • Ms.Divyashree S , Vidyashilp University
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