Dr. V.C.Wangikar


NAME: Dr. V.C. Wangikar
DESIGNATION: Associate Professor
QUALIFICATION:

  • Ph.D. in Computer Engineering, Dr. Babasaheb Ambedkar Marathwada University, Aurangabad, 2020.
  • MCA (Engineering Faculty).

OVERVIEW OF PROFILE:

Dr. Vaishali C. Wangikar is an Associate Professor at MIT Academy of Engineering (MITAOE), Pune. She has extensive experience in teaching, research, database technologies, and data analytics.

She completed her Ph.D. in Real-Time Data Warehousing under the faculty of Computer Engineering. Her research focused on “Devising and Implementing a Record Linkage Algorithm with Special Reference to a Real-Time Data Warehouse Environment.” She has over 20 years of teaching experience and has guided more than 100 students in live projects.

Her areas of expertise include database modelling, SQL, PL/SQL, descriptive analytics, predictive analytics, software engineering concepts, SRS design, UML diagrams, design patterns, software cost estimation techniques, risk planning, quality planning, testing plans, and test case design. She is also familiar with open-source tools for data analysis, data warehousing, data visualization, and software testing.

FOREFRONT AREA OF RESEARCH: Data Warehousing and Data Mining
EMAIL ID: dean.sesh@mitaoe.ac.in
CONTACT NO: 020-30253500, 30353600, Ext.-1053
EXPERIENCE: Teaching: 20 years, Industry: 1.5 years, Research: 8 years


MEMBERSHIPS

  • Member, Association for Computing Machinery (ACM).
  • Member, Institute of Electrical and Electronics Engineers (IEEE).
  • Member, International Association of Engineers (IAENG).

PUBLICATIONS

  • Vaishali C. Wangikar, Dr. Sachin N. Deshmukh and Dr. Sunil G. Bhirud (2020). A Semi-Automated Record De-duplication Technique for a Data Warehouse Environment. International Journal of Innovative Technology and Exploring Engineering, Volume 9, Issue 3, January 2020. ISSN: 2278-3075. Scopus Link: View Scopus Source.
  • Vaishali C. Wangikar, Dr. Sachin N. Deshmukh and Dr. Sunil G. Bhirud (2020). The 3rd International Conference on Recent Trends in Image Processing & Pattern Recognition. Communications in Computer and Information Science (CCIS), Springer.
  • Vaishali C. Wangikar, Sachin N. Deshmukh and Sunil G. Bhirud (2019). An Efficient Approach for Automated Token Formation for Record De-duplication with Special Reference to Real-Time Data-Warehouse Environment. International Journal of Engineering and Advanced Technology, Volume 8, Issue 4, Pages 151–159. ISSN: 2249-8958. Website: IJEAT. Scopus Link: View Scopus Source.
  • Vaishali C. Wangikar, Dr. Sachin N. Deshmukh and Dr. Sunil G. Bhirud (2019). Rough Set Based Approach for Automated Token Formation in Real-Time Record De-duplication. Journal of Advanced Research in Dynamical and Control Systems, Volume 11, Issue 4, Pages 380–390. Publisher: Institute of Advanced Scientific Research. UGC No.: 864. Scopus Link: View Scopus Source.
  • Vaishali C. Wangikar, Sachin N. Deshmukh and Sunil G. Bhirud (2016). Study and Implementation of Record De-duplication Algorithms. Proceedings of the Second International Conference on Information and Communication Technology for Competitive Strategies (ICTCS '16), ACM Digital Library, March 2016, Article No. 8, Pages 1–6. View Publication.
  • Vaishali C. Wangikar, Sachin N. Deshmukh and Sunil G. Bhirud (2016). Selection of Window Size for Identification of De-Duplicates with Duplicate Count Strategy. 2nd International Conference on Cognitive Knowledge Engineering (ICKE-2016), Department of Computer Science and Information Technology, Dr. Babasaheb Ambedkar Marathwada University, Aurangabad, India. Best Paper Award.
  • Vaishali Wangikar (2015). Study of Different Approaches for Real-Time Data Warehouse Environment. National Conference on Modeling, Optimization and Control (NCMOC-2015), 4–6 March 2015. ISBN: 978-93-83572-72-4.
  • Vaishali Wangikar and Ratnadeep Deshmukh (2011). Data Cleaning: Current Approaches and Issues. IEEE International Conference on Knowledge Engineering (ICKE-2011), Narosa Publications, Chapter 6. ISBN: 978-81-8487-123-4.
  • Applying Artificial Intelligence Techniques for Devising a Recommendation System. National Conference Proceedings on Emerging Trends in Computer Science and Applications (2016), Pages 9–14. ISBN: 978-93-5202-905-1.
  • Identification of De-duplicates by Using an Entity Resolution Algorithm in Hadoop Environment. National Conference Proceedings on Emerging Trends in Computer Science and Applications (2016). ISBN: 978-93-5202-905-1.