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Shah Siddharth
Assistant Professor
Qualification
B.E.(C.E.), M.E. (C.E.)
Experience
Academics:10 Years

Industry: 0 Year
Contact
siddharth@adit.ac.in

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Events & Activities
  • Faculty Development Program at InfoStretch Corporation (India) Private Limited

  • One Week ISTE sponsored STTP on "Big data and machine learning"

  • One Week ISTE sponsored STTP on "Big data and machine learning"

  • Two Week ISTE Workshop on Database Management Systems, IIT Bombay

  • 3 Day Workshop on " Humanoid Arm"

  • "Digital Skill Development"

  • Continuous Education Program on "Oracle Certified Java Programmer"

  • Continuous Education Program on "Oracle Certified Java Programmer"

  • One Day Webinar on "Cloud, Big Data and Mobile Application"

  • 22nd ISTE State Annual Faculty Convention 2017 and National Conference on Engineering Innovation for Social and Environmental Development

  • Industrial Practices on Software Development

Publications
  • Paper Published titled "Scaling Solr Performance Using Hadoop for Big Data"

  • Paper published titled "New Address Backoff Algorithm for Channel Acquisition in Wireless Sensor Networks" in Volume 03, Issue 10

  • Paper published titled "Ant Colony Optimization for Job Scheduling in Grid with Alea Simulator" in volume 02 issue 05

  • Paper published titled "A Parallel Incremental Mining Algorithm using Modified Inverted Matrix" in Vol. 8

  • Paper published titled "A survey- web mining tools and technique" published In, Volume 7 Issue 4

  • Paper published titled "Performance analysis of HAAR wavelet transform on cell multicore processor" in volume 5, issue 4

  • Paper published titled "Analysis of transit method for exosolar planet detection in clustered environment" in volume 1, issue 2

  • Paper presented titled "Gender Classification from Faces: A Survey"

  • Paper presented titled "Incremental Mining of Association Rules using Modified Inverted Matrix", Anna university

  • Enhancing the functioning of wireless TCP in Cellular Networks

  • Paper published "Incremental Mining of Association Rules: A Survey"

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