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Prof. Ashwini Rao

Assistant Professor
Ph.D. (Pursuing), ME (Computer Science), BE (Computer Science)
Specialization: Web Mining

basant-mohanty

1. Education:

·Ph. D (IT) from SVKM's NMIMS completed in 2019.

·ME (CS) from Mumbai University completed in 2008.

·BE (CS) from Kuvempu University completed in 1997.

2. Academic experience:

·2013-till date – Assistant Professor in MPSTME.

·2011-2013 – Assistant Professor in TCET.

·2009-2011 – Senior Lecturer in AIT, Gurgaon.

·2005-2008 – Lecturer in TCET,Mumbai.

·2002-2003 – Lecturer in SFIT, Mumbai.

·1999-2001 – Lecturer in JNNCE, Shimoga.

3.Non-academic experience:

·Worked as a Ladder S/w Developer for Mitsubishi and Allen Bradley at

Pejawar Electronics, Mumbai for 1 year.

4. Certifications or professional registrations:

·Certified Base SAS Programmer

·SAS Certified Visual Business Analyst: Exploration and Design Using SAS Visual Analytics

·Certified in SAS Predictive Modeling Using SAS Enterprise Miner 13

5. Current membership in professional organizations : ISTE

6. Honors and awards - None

7. Service activities:

·Project Coordinator

·Class mentor

·Working on Criteria’s 1 & 3 of NBA

·Working on Criteria’s 1 & 2 of ABET

·Team member of load allocation committee

·B.Tech. Course Coordinator

8. Publication in Last Five Years:

·Ms. Ashwini Rao (2013). Sentiment Analysis-Towards Harvesting Opinions from the Net. In International Journal of Computer Science and Network, Vol 2, Issue 5.

·Rao, A., & Shah, D. K. (2014). Filtering and Transformation Model for Opinion Summarization.International Journal of Computers & Technology,13(2), (pp. 4248-4255).

·Rao, A., & Shah, K. (2015). Model for improving relevant feature extraction for opinion summarization. InAdvance Computing Conference (IACC), 2015 IEEE International(pp. 1-5). IEEE.

·Rao, A., & Shah, K. (2016). An optimized rule-based approach to extract relevant features for sentiment mining. In 3rd International Conference onComputing for Sustainable Global Development (INDIACom-2016), (pp. 2330-2336). IEEE.

· Ashwini Rao, Dr. Ketan Shah (2018). A Domain Independent Technique to generate Feature Opinion Pairs for Opinion Mining. In WSEAS Transactions on Information Science and Applications, (Vol 15, pp. 61-69).

9.Recent professional development activities:

·Certified as BASE SAS Programmer

·Certified as SAS Visual Business Analyst

·Certified as SAS Predictive Modeler

·Obtained accreditation for

ü SASVisual Analytics

ü SAS Predictive Modeling

ü BASE SAS

           
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