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Deepika Prakash

Dr Deepika Prakash

Deepika Prakash

Dr Deepika Prakash obtained her PhD from Delhi Technological University in the area of Data Warehouse Requirements Engineering. She started her career in Industrial R&D, where her responsibilities in industry spanned the complete life cycle of Data Warehouse development, from requirements engineering through conceptual modelling to extract-transform-load (ETL) activities. After four and a half years, she moved to academic teaching and research. Prior to joining NIIT University, she served as an Assistant Professor at the Department of Big Data Analytics at Central University of Rajasthan, Rajasthan.

As a researcher, she co-authored a book titled ‘Data Warehouse Requirements Engineering – A Decision Based Approach’, published by Springer in 2018. She is also the co-editor of a book titled ‘Novel Approaches to Information Systems Design’ published by IGI Global in 2020. She has authored a number of papers in international journals/conferences and authored several book chapters.

Dr Prakash is a reviewer of the prestigious Requirements Engineering Journal, Springer. She was also an invited reviewer of Information and Software Technology Journal, Elsevier. She is on the program committee of international conferences like Evaluation of Novel Approached to Software Engineering (ENASE) merging and has chaired sessions at international conferences like DEXA and ENASE.

Apart from teaching under-graduate and post-graduate courses, she also conducted courses under NU’s Industry Linked Programme (ILP). She has delivered invited lectures at a number of Institutes like IIIT Delhi, NSIT Delhi. Her current research interests include Data Engineering in Data Lakes, IoT system design.

Qualifications

  • PhD(CSE) Delhi Technological University, Delhi
  • MTech (IT)

Experience

  • Teaching: 5.5 years
  • Industry: 4.5 years

Courses taught

  • Big Data
  • Dimensional and NoSQL databases
  • Web Intelligence
  • Information Retrieval
  • Data Engineering

Research areas

  • IoT system design
  • Data Lakes
  • Information Requirements

Consulting areas

  • Developing Data Pipelines

Selected Publications

View more
  • N. Prakash and D. Prakash, Data Warehouse Requirements Engineering – A Decision Based Approach, Singapore : Springer 2018.
  • D. Prakash and N. Prakash, “A multifactor approach for elicitation of Information requirements of data warehouses,” Requirements Engineering, vol. 24, no. 1, 2019 pp.103-117, SCI-E, Impact factor 2.3.
  • D. Prakash and N. Parimala, “Measuring Understandability of Organizational Policies: A Metric Based Approach,” International Journal of Cooperative Information Systems vol 27, no. 02, 2018, pp. 1-26. SCI-E Impact factor 1.9.
  • D. Prakash, “Towards Convergence in Information Systems Design,” in Novel Approaches to Information Systems Design, N. Prakash and D. Prakash, Eds., USA: IGI Global, 2020, ch. 11, pp. 247-263.
  • D. Prakash, “Data Warehouse Support for Policy Enforcement Rule Formulation,” New Perspectives on Information Systems Modeling and Design. IGI Global, 2019. ch. 11, pp. 255-273.

Research papers

  • D. Prakash and D. Gupta, “Eliciting data warehouse contents for policy enforcement rules,” International Journal of Information System Modeling and Design (IJISMD), vol. 5, no. 2, 2014, pp. 41-69.
  • D. Prakash and D. Gupta, “Data warehouse requirements engineering: an emerging discipline,” International Journal of Business Information Systems, vo. 23, no. 2 , 2016,pp. 194-211.

Conference proceedings

  • D. Prakash, “NOSOLAP: Moving from Data Warehouse Requirements to NoSQL Databases,” In 14th International Conference on Evaluation of Novel Approaches to Software Engineering, 2019, pp. 452-458.
  • N. Prakash and D. Prakash, “Handling the Information Backlog for Data Warehouse Development,” In International Conference on Database and Expert Systems Applications, 2019, pp. 368-378.
  • D. Prakash, “Direct Conversion of Early Information to Multi-dimensional Model,” In International Conference on Database and Expert Systems Applications, 2018, pp. 119-126.
  • N. Prakash and D. Prakash, “Model-driven User Stories for Agile Data Warehouse Development,” in 19th IEEE International Conference on Business Informatics, 2017, pp. 424-433.
  • D. Prakash and N. Prakash, “A Requirements Driven Approach to Data Warehouse Consolidation,” in 11th IEEE International Conference on Research Challenges in Information Science (RCIS), 2017, pp. 449-450.
  • D. Prakash, “Eliciting Information Requirements for DW Systems,” CAiSE (Doctoral Consortium). 2016, pp. 1-8.
  • D. Prakash and N. Prakash, “Towards DW Support for Formulating Policies,” in IFIP Working Conference on The Practice of Enterprise Modeling, 2015, pp. 374-388.
  • N. Prakash et al., “A Framework for Business Rules,” in International Conference on Conceptual Modeling, 2013, pp. 68-73.
  • N. Prakash, D. Prakash and D. Gupta, “Decisions and decision requirements for data warehouse systems,” in Forum at the Conference on Advanced Information Systems Engineering (CAiSE), 2010, pp. 92-107.
  • N. Prakash, D. Prakash and Y. K. Sharma, “Towards better fitting data warehouse systems,” in IFIP Working Conference on The Practice of Enterprise Modeling, 2009, pp. 130-144.

Books and book chapters

  • N. Prakash and D. Prakash, Data Warehouse Requirements Engineering – A Decision Based Approach, Singapore : Springer 2018
  • N. Prakash et al., Novel Approaches to Information Systems Design, N. Prakash and D. Prakash, Eds., USA : IGI Global, 2020.
  • D. Prakash, “Towards Convergence in Information Systems Design,” in Novel Approaches to Information Systems Design, N. Prakash and D. Prakash, Eds., USA: IGI Global, 2020, ch. 11, pp. 247-263.
  • D. Prakash, “Data Warehouse Support for Policy Enforcement Rule Formulation,” in New Perspectives on Information Systems Modeling and Design. IGI Global, 2019. ch. 11, pp. 255-273.

Awards & Recognition

  • Member Program Committee of ENASE since 2019
  • Reviewer of Requirements Engineering Journal (Springer)

Media articles/blogs

Written by Dr Ganesh Natarajan

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