PROGRAMS
Undergraduate Program
B.Tech. (Hons.) Computer Science and Engineering - Data Science B.A. (Hons.) Psychology/Economics B.A. (Hons. with Research) Psychology/Economics B.Des. - Communication Design B.M.S. (Hons.) Digital Business B.M.S. (Hons. with Research) Digital Business B.A., LL.B. (Hons.) B.M.S., LL.B. (Hons.)
Doctorate Program
SCHOOLS
School of Computational and Data Sciences School of Liberal Arts and Design Studies School of Business Studies School of Legal Studies and Governance
AREAS OF STUDY
Data Science
Natural Language Processing Internet of Things Artificial Intelligence Applied Deep Learning Full Stack Development Machine Learning
Communication Design
Interactive Storytelling Future of UX Design Visual Scripting Character Design Film Production Advertising
Psychology
Experimental Psychology Developmental Psychology Counselling Psychology Cognitive Psychology Clinical Psychology Health Psychology
Economics
Digital Economics Business Economics Behavioural Economics Developmental Economics Gender Economics Policy Making
Digital Business
Marketing Management Financial and Management Accounting Business Research Method Digital and E-commerce Marketing Fintech Digital Supply Chains
Legal Studies
Alternative Dispute Resolution Online Dispute Resolution Intellectual Property Law Business and Commercial Law Crime and Criminology AI and Technology Law
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Faculty | vidyashilp University
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
Selected Publications
  • 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.
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  • 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.
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  • 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.
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  • 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.

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