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Sabaria S

Designation : Assistant Professor
Nature of Employment : Regular
Date of Joining : 04-07-2019
Qualification : B.E,.M.E.
Phone : 86757446255
Email ID : sabaria@crescent.education

Teaching

Educational Background

Degree Discipline Year of Passing University
M.E Computer science and Engineering 2012 Anna University
B. E  Computer science and Engineering 2010 Anna University

Work Experience

Designation Institution Duration No. of Years
Assistant Professor B.S. Abdur Rahman Crescent Institute of Science and Technology July 2019 to till date Till date
Assistant Professor

A.R.M college of engineering and technology June 2015 To July 2019 4 years
Assistant Professor VRS college of engineering and technology March, 2012 to Dec 2012 10 months

Lecture Courses

  • Mobile computing
  • Internet programming
  • Compiler Design
  • Data Analytics
  • Computer Networks

Research

Area of Research Interest

  • Machine Learning
  • Artificial Intelligence
  • Deep Learning
  • Image Processing

Publications

International Journals

  • S. Sabaria, A. K. Reshmy, P.Amudhavalli, A.Ramya “Learning Based Facial Aesthetic Prediction Using Wrapper Feature Selection Approach” , International Journal of Advanced Science and Technology. Vol. 29, No. 9s, (2020), pp. 6790-6802.
  • S. Sabaria, Sandhiya.S,”Pharmacy Management System”, IJSART – Volume 7 Issue 6 – JUNE 2021.
  • Rubina Ariff , Sabaria. S,” A Tracker To Protect Authorization Codes In SMS Using Code inject Method, ”, IJSART – Volume 7 Issue 6 – JUNE 2021.
  • Sathishkumar Mani , Reshmy Avanavalappil  Krishnankutty, Sabaria Swaminathan Prasannavenkatesan Theerthagiri,” An investigation of wine quality testing using machine learning techniques”, IAES International Journal of Artificial Intelligence (IJ-AI) Vol. 12, No. 2, June 2023, pp. 747754 ISSN: 2252-8938.

International Conferences

  • P. Amudhavalli, A.K. Reshmy and S. Sabaria,”Semi-Supervised Learning Approach For Detecting Abnormalities In A Cloud Environment”, IVCSAMSEA2020 ,International Virtual Conference on Smart Advanced Material Science and Engineering Applications.

National conference

  • Presented a paper ”A review on evaluation of privacy security for internet of things and fog computing data using blockchain technology” in National conference Computional intelligence and data analytics 2023.

Faculty Development Programme / Workshop / Webinar attended

  • Faculty Development Programme on ,” Artifical Intelligence”, organized by AICTE Training And Learning (ATAL) Academy at Dr Harisingh Gour University Sagar (MP) from 25-05-2020 to 29-05-2020.
  • Faculty Development Programme on,”Perspectives of Blockchain Integrated with IOT:Challenges and opportunities”, organized by AICTE Training And Learning (ATAL) Academy PSNA College of Engineeing and Technology from 05.07.2021 to 09.07.2021.
  • Faculty Development Programme on,” Intellectual Property Rights”, organized by The New College on June 2021.
  • International FDP on Contemporary Computing Technologies, organised by Department of Computer Applications and Department of Computer Science, SRM Institute of Science and Technology.
  • One week FDP on Intellectual Property Rights and research paper writing(IPR-PRW)   Department of Computational Intelligence , SRM Institute of Science and Technology during 23.01.2023 to 30.01.2023.
  • One week National level FDP on Cloud Infrastructure(AWS) organised by MEASI Institute of Information Technology in collaboration with Brainovision and AICTE during 21.8.23 to 25.8.23.
  • One week FDP on Full Stack Development organised by Kamaraj College of Engineering and Technology during 11.07.23 to 15.07.23.

Certification

  • Coursera Certificate on course,”Machine Learning for all”conducted by University of London, Oct 2021.
  • Coursera Certificate on course “Introduction to Artifical Intelligence”conducted by IBM, June 2022.
  • Coursera Certificate on coursera project network ,” Tweet Emotion Recognition with Tensor Flow, Oct 2023.
  • Coursera Certificate on coursera project network ,” Basic Image Classification with TensorFlow, Oct 2023.

Extension

Additional Responsibilities

  • Worked as a IMS Coordinator and Incharge
  • Worked as a AICTE Coordinator