Current Designation

Assistant Professor (Sl. Grade) – Department of I.T. – K.C.G. College of Technology, Chennai.

Technical Profile

  • Language: C, C++, Java
  • Packages: MS Office ,SQL , Rational Software Architect

Subjects Handled

  • Object Oriented Analysis and Design
  • Object Oriented Programming Language (C++)
  • Enterprise Resource Planning
  • Total Quality Management
  • Software Quality Assurance
  • Cryptography and Network Security
  • Data Warehousing and Mining
  • System Software
  • Fundamentals of Programming

  • Pursuing
  • 2005
  • 2002
  • Ph.D.(CSE)

    Institution: Anna University

    Percentage: -

  • M.Tech (IT)

    Institution: SRM University

    Percentage: 7.49 CGPA

  • B.E (IT)

    Institution: Raja College of Engineering

    Percentage: 66

  • June 2010 – Till date
  • July 2008 – May2010
  • Feb 2007 – May 2008
  • August 2005 – Feb 2007
  • K.C.G. College of Technology

    Position: Assistant Professor (Sl. Grade)

  • INDUS College of Engineering

    Position: Assistant Professor (O.G)

  • AMC Engineering College

    Position: Assistant Professor (O.G)

  • BSA Crescent Engineering College

    Position: Lecturer


Efficient Prediction of Alzheimer’s disease from Multimodal Image Data with Combination of Different Types of Classification Process

The Research proposed a novel combination of well-known and efficient methods are introduced for efficient diagnosis of (AD). Structural MRI (SMRI) is a promising tool for diagnosing AD image itself measures the brain atrophy. The Histogram based threshold approach is implemented on the images to noise removal process. The segmentation process is done using Self-Organizing Map Network (SOMN) approach. The optimal minimized features are fed into an Artificial Neural Network Fuzzy Inference System (ANFIS), Hybrid Neuro Fuzzy Runge Kutta (HNFRK) and Extreme Machine Learning Algorithm. Among three classification process, Extreme Machine Learning Algorithm provides better results than other two classification process classifiers which classifies the prodromal stages of AD patients


  • R.Sampath, Dr.A.Saradha “Classification of Alzheimer’s Disease Stages Exploiting an ANFIS Classifier” International Journal of Applied Engineering Research ISSN 0973-4562 Volume 9, Number 22 (2014) pp. 16979-16990 (Annexure II of Anna University 2014)
  • R.Sampath, Dr.A.Saradha “Alzheimer’s Disease Classification Using Hybrid Neuro Fuzzy Runge-Kutta (HNFRK) Classifier” Research Journal of Applied Sciences, Engineering and Technology ISSN 2040-7467 10(1) 29-34, May 2015 (Annexure II of Anna University 2014)
  • R.Sampath, Dr.A.Saradha “ Alzheimer’s Disease Image Segmentation Using Self Organizing Map Network “ Journal of Software, ISSN 1796217X June 2015.(Vol. 10, No. 6) DOI: 10.17706/JSW.10.6.670-680 (Annexure II of Anna University 2014)
  • R. Sampath, P.Gayathri Devy, A.Swedah, Dr.A.Saradha “Study Of Connectivity Properties And Network Topology For Neuroimaging Classification By Using Adaptive Nero-Fuzzy Inference System” ARPN Journal of Engineering and Applied Sciences ISSN 1819-6608 VOL. 10, NO. 9, MAY 2015 PP. 4258-4263 (Annexure II of Anna University 2014)
  • R.Sampath, Dr.A.saradha “A Hybrid Approach for Alzheimer’s disease Classification using 2D Gabor Wavelet transform and Extreme Machine Learning Classifier” Journal of Pure and Applied Microbiology, ISSN 0973-7510 Volume 9 No. Special Edition May. 2015 Page No. 691-699 (Annexure I of Anna University 2014)

Roles and Responsibilities

  • Handled classes for both Under Graduates and Post Graduates
  • Guided Projects for Under Graduates
  • Organized seminars and conferences
  • Counseled students for carrier improvement
  • Quality management system coordinator
  • Coordinator for conducting examinations
  • Coordinator for NBA accreditation Washington accord
  • Organized Industrial visits
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