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Prof. Ketan Shah

Associate Dean (Accreditations), Professor
B.E.(Electronics), M.E.(Electronics), PhD(IT)
Specialization: Data Mining

basant-mohanty

1. Education:

·Ph.D. (IT) from SVKM's NMIMS completed in 2010.

·M.E./M.Tech (Electronics) from Mumbai University completed in 2002.

·B.E. /B.Tech (Electronics) from Mumbai University completed in 1997.

·Post Graduate Diploma in Management of Medium and Small Scale Industries from SBMP completed in 1998.

·Post Diploma in Computer Applications from CMC Ltd. completed in 1998.

2. Academic experience:

·2018-till date Professor and Associate Dean (Accreditations) in MPSTME.

·2017-2018 Professor and Head of Department in MPSTME.

·2014-2017 Professor in MPSTME.

·2006 – 2014 Associate Professor in MPSTME.

·1998 – 2006 Assistant Professor in D.J.Sanghvi College of Engineering.

3. Non-academic experience: NA

4. Certifications or professional registrations:

·Base-SAS

·SAS Visual Analytics

·SAS Predictive Modeling

5. Current membership in professional organizations: ACM, CSI

6. Honors and awards:

·Best Teacher Award (MPSTME) – AY (2007-2008)

7. Service activities (within and outside of the institution):

·Paper Setting and Evaluation at MPSTME and other Engineering Colleges

·Viva-Voce of Project, Other Courses at MPSTME and other Engg. Colleges

·Development of Curriculum at MPSTME

·Program Coordinator, B.Tech.(IT) (2013-2017)

·Head of Department, (2017-2018)

·Department Advisory Board Member at SAKEC

8. Publication in Last Five Years:

·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).

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

·Vinaya Sawant, Ketan Shah. Performance Evaluation of Distributed Association Rule Mining Algorithms. Procedia Computer Science (Elsevier)

2016

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

·K. Ghag and K. Shah Optimizing. Sentiment Classification using Preprocessing Techniques. International Journal of IT & Knowledge Management 2014.

·Vinaya Sawant, Ketan Shah. A Survey of Distributed Association Rule Mining Algorithms. International Journal of Emerging Trends in Computing and Information Sciences. 2014

·Ashwini Rao, Ketan Shah. Filtering and Transformation Model for Opinion Summarization. INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 2014.

·K. Ghag and K. Shah. ARTFSC – Average Relative Term Frequency Sentiment Classification. International Journal of Computers and Technology 2014.

·K. Ghag and K. Shah. Sentiment Classification using Relative Term Frequency Inverse Document Frequency. International Journal of Advanced Computer Science and Applications 2014.

·Vinaya Sawant, Ketan Shah. A Review of distributed Data Mining Using Agents. International Journal of Advanced Technology and Engineering Research 2013.

9.Recent professional development activities

·International SAS Certification in 3 courses (Base SAS, VA, Predictive Modeling)

·Attended two day "Transformational Leadership” workshop organized by SVKM under the aegis of Newton Bhabha Fund, (17th and 18th January, 2018)

·Consultancy Assignment for Technical/Forensic Analysis of Data by Hon’ble District Court Thane (2017)

·Completed MIT Professional Education’s online program "Tackling the challenges of Big Data”, March 16 to April 26, 2016



           
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