Mr. TEJAS MEHTA

Faculty Details


  • Designation : Lecturer
  • Qualification : M.E. Computer Engineering (PhD Pursuing)
  • Experience : 6 Years
  • Area Of Interest : Image Processing, Algorithm

Skill and knowledge

MATLAB, networking, Algorithms

Course taught

Network Management and Administration, Microprocessor 8085

Training and Workshop

  • Comprehensive Online Intellectual Property Rights
  • UDAYAM (Unlimited Digital Advanced Yearlong Academic Method of Learning) E-Content Development Course

Training and Workshop

  • Induction Phase I
  • Induction Phase II
  • Faculty development program for teachers of technical courses
  • Comprehensive Online Intellectual Property Rights
  • UDAYAM (Unlimited Digital Advanced Yearlong Academic Method of Learning) E-Content Development Course

Training and Workshop

1. Induction Phase I

2. Induction Phase II
3. FDP at IITE

Portfolios

  • CWAN /  Internet / Central Server Maintenance committee
  • CCTV Camera committee 

Research Projects

-

Publications

  • A Novel approach Using Transformation Techniques and Decision Tree algorithm on images for performing Digital Watermarking”, IEEE international Conference ICITST 2009, London
  •  A unified technique for robust digital watermarking of colour images using data mining andDCT, International Journal of Internet Technology and Secured Transaction,(IJITST) Vol. 3 Issue1,Inderscience publisher
  • Handling Fuzzy SQL on Crisp databases using Lex and YACC, International Journal of Computer Application (IJCA)-ISSN 0975-887, Foundation of Computer Scinece, July 2010
  • Neural Network based Human motion detection using stationary camera”, International Journalof Computer Application (IJCA)-ISSN 0975-887, Foundation of Computer Scinece, July 2011
  • Adaptive Near Duplicate Image Retrieval Using SURF and CNN Features, International Journal of Intelligent Engineering and Systems (Scopus indexed) , Published by The Intelligent Networks and Systems Society 2185-3118, Oct 2019
  • Near Duplicate Image Retrieval Using Multi-level Local and Global CNN Features, International Journal of Advanced Computer Science and Applications  (Scopus and Web of Science indexed) Published by The Science and Information (SAI) Organization Limited 2156-5570, April 2020

Academic Projects

-

Patent Filed

-

Professional Institution Memberships

ISTE life member LM78515

Expert Lectures

-

Awards

-