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Dr. Shubha Puthran

Assistant Professor
Ph.D., M.Tech (Computer Engg), B.E (Computer Engg)

basant-mohanty

Education

  • Ph.D. Computer Engineering MPSTME, NMIMS University 
  • M.Tech. (Computer Engineering) MPSTME, NMIMS University 2011
  • B.E. Computer Engineering MIT, Manipal, Mangalore University 1999

Academic experience

  • Aptech Computer EducationSenior Faculty August 2001 to November 2003 Full Time Mangalore
  • Kendriya Vidyalaya No.1 Lecturer Nov 2003 to February 2004 Full Time Mangalore
  • National Institute of TechnologyAssistant Lecturer Feb-2004 to Nov-2004 Full Time Karnataka
  • Thakur Polytechnic, MumbaiLectureJanuary 2005 to April 2005 Full Time
  • Thakur College of Science Lecture June2007-February 2008 Full Time Karnataka
  • MPSTME, NMIMS Assistant Professor February 2008-Till Date Full Time

Non-academic experience

  • Gemini Fashions Limited, Bangalore EDP Assistant June 2000 to 2001 April. Full Time
  • The Food Centre, Dubai, U.A.E. Analyst May 2005-Jan 2007 Full Time

Current membership in professional organizations

  • Lifetime Member, Indian Society for Technical Education (ISTE).

Service activities (within and outside of the institution):

●  Worked as workshop coordinator in computer engineering workshop activities.

●  Worked as coordinator for Two – Day weekend training programme - Saptahaant Shikshak Prashikshan (SSP) onIntroduction to Machine Learning

●  Worked as a domain coordinator for the domain "Software Engineering and quality” in computer engineering department, MPSTME

●  Worked as B.Tech project coordinator

●  Worked for NBA accreditation process in MPSTME

●  Evaluator for M.Tech. (Dissertation) and B.Tech. (Projects) in MPSTME

Briefly list the most important publications and presentations from the past five years

●  S.Puthran and K. Shah, "Intrusion detection using improved decision tree algorithm with binary and quad split”, International Symposium on Security in Computing and Communication, Springer, Singapore, pp. 427-438, 2016.

●  S.Puthran and K.Shah, "Intrusion detection using data mining”,Intrusion Detection using Data mining ”, International Journal of Computational Intelligence Studies, Special issue on Intelligent Systems for Cyber Security: Current Trends, Applications and New Challenges, Inderscience publishers

Briefly list the most recent professional development activities

●  Conducted one day workshop session on "Evaluation of performance metrics in data mining using R programming” at MPSTME, on 13th July 2016

           
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