Degree Institution/University Year
PhD Anna University, Chennai 2014
M Tech National Insitute of Technology Karnataka(NITK), Surathkal 2007
Degree M G University, Kottayam 1997
M Sc. Bharadidasan University 2000

 

Teaching

Institute

Post

Duration

Adi Shankara Institute of Engineering and Technology, Kalady, Kerala

Associate Professor

2014 December- Till date

Assistant Professor

2008 February- 2014 November

M P Christian College of Engineering and Technology, Bhilai,

Lecturer

2002 April-2005 August

 

Industrial
Research

2009- 2014

Anna University, Chennai.

Thesis: Content Based Image Retrieval of Brain MR images and level based anomaly detection

The primary research goals are directed towards retrieving similar Magnetic Resonance Brain images from a large image database using content of the images, without using any keyword or id. 

JOURNALS

1.     A. Varghese, B Kannan, R R. Varghese, J S. Paul,  Content Based Image Retrieval of Axial Brain Slices using a Novel LBP with a Ternary encoding’, Computational Intelligence, Machine Learning and Data Analytics’, The Computer Journal, 2014, ISSN 0010-4620.

 

2.     Lima Sebastin and A. Varghese, ‘ Image Authentication using content preserving techniques’, Procedia Computer Science, Vol 40, Pages 1554–1560 ,2015

 

3.     A. Varghese, B Kannan, R R. Varghese, J S. Paul, Content Based Image Retrieval Brain MR Images across Different Classes”, ‘World Academy of Science and Engineering’2013  ISSN 1307-6892.

 

4.     A. Varghese, B Kannan,   R R. Varghese,  J S. Paul, Content Based Image Retrieval of T2 Weighted Brain MR Images Similar to T1 Weighted Images, Proceedings of PReMI’ 13, Lecturer Notes in Computer Science (LNCS), Springer – Verlag Berlin Heidelberg 201, Vol: 8251 , pp. 474–481, 2013.

 

5.     A. Varghese, R R. Varghese,  B Kannan, J S. Paul, ‘Identification of Region of Interest using local binary Pattern with ternary Encoding’, CiiT International Journal of digital Image Processing, Vol 3, No 16,October 2011 ISSN 0974-9691

 

6.      A. Varghese , R R. Varghese,  B Kannan , J S. Paul, ‘Brain Slice Retrieval from  Feature Reduced MR images using Moments’,  International Journal of computer science and technology (IJCST), Vol. 3, Issue.1, Jan -Mar, 2012, ISSN:  2229-433.

 

7.       A.Varghese , B.Kannan, J S. Paul, ‘Edge enhancement using co-occurrence features of LBP coded low contrast MR images’, CiiT International Journal of digital Image Processing, Vol. 4, No 10,March 2012, ISSN 0974-9691

 

8.       R.George, M.S Khan, V. Abraham: Fixed point theorems for hybrid mappings in metric spaces, Math. Moravica (impact factor 0.12) 2006, Vol 10, 67–76.

 

CONFERENCES

1.       A. Varghese, B Kannan, Manesh T, Jincy S George, Level Based Anomaly Detection of Brain MR Images Using Modified Local Binary Pattern, Accepted in Intenational Symposium on Intelligent system Technologies and Applications(ISTA-15), Cochin.

 

2.       Soumya.V, Abraham.Varghese, Neetha. N, A review on Noise Estimation Methods in Multi-coil MRI, 2nd, IEEE Symposium on Multimedia, Visualization and Human Computer, Trivandrum, 2015

3.       Soumya.V, Abraham.Varghese, ‘An Adaptive Maximum Likelihood Estimation Method for Denoising Multi-Coil Magnetic Resonance Images’, 5th International Workshop on Advances in Computing and Communications (IWACC2015), Cochin 2015.

 

4.       Sankaranayaki and A Varghese, ‘Alzheimers detection at early stage using Local measures on MRI’, IEEE international conference on current tecniques in medical image analysis(CUTECMIA-14), 2014

 

5.       Lima Sebastin and A. Varghese, ‘ Image Authentication using content preserving techniques’,  ICICT, CUSAT Cochin, 2014.

 

6.       Sankaranayaki and A Varghese, Alzheimer's detection at early stage using local measures on MRI: A comparative study on local measures,  International Conference on Data Science and Engineering ( ICDSE), 2014.

 

7.       A. Varghese, B Kannan, R R. Varghese,  J S. Paul, ‘Content Based Image Retrieval Brain MR Images across Different Classes’, ICSP 2013 Amsterdam.

 

8.       A. Varghese, B. Kannan, ‘Identification of Region of Interest using local binary Pattern with ternary Encoding’ CSIS 2011, conducted at     Coimbatore Institute of Technology, Coimbatore.

 

9.       A. Varghese, R R. Varghese,  B Kannan, J S. Paul, ‘Axial T2 weighted MR Brain image Retrieval  using Moment features’ Advances in computing & Inform. Technology’, AISC 177, pp 355-363.

 

10.    A. Varghese, R R. Varghese,  B Kannan, J S. Paul, ‘Level identification of Brain MR Images using Histogram of a LBP variant’, IEEE international Conference on Computational Intelligence and Computing Research  2012, Coimbatore.

 

11.    A. Varghese, R R. Varghese,  B Kannan, J S. Paul,  ’Classification of Similar Anatomical Structure Brain MR images using  Moment features of Local Binary Pattern’, IEEE International Conference on Communication and Signal Processing 2013, Chennai

.

The current projects include:

1.      Clinical Decision support system for Brain MR images

The aim of this work is to how to make use of inter and intra patient comparison for effective diagnosis process especially in medical domain. Specifically, the focus is to develop a search and retrieval mechanism for Magnetic Resonance brain images to address following questions:

a)      Is it possible to retrieve similar anatomical images from the large image database using the content of the images without using any keyword like patient id or name?

b)      Are we able to make clinical decision support system that predicts the disease class of the query image by retrieving the n images nearest to the query image from the large pool of images with the predicted disease class?

 

2.      Early detection of Alzheimer's Disease using Local measure on Magnetic Resonance Images

The focus of the work is to develop effective descriptors to process the Magnetic resonance brain images in order to identify minute changes before extensive damage to the brain has already occurred.

 

3.       Bigdata processing for Surgical video

Conventional data processing technologies are now unable to process large amount of data within a tolerable elapsed time. In this work the aim is  to process tera bytes of surgical videos based on Hadoop related technologies and cloud computing infrastructure in order  to extract meaningful information like 1) Identification of instruments-type, number, occasion of use2). Field information-a scalar measure by which focus, zoom is quantified. 3) Whether lighting is optimum. 5). Anatomic classification- whether it is possible to recognize the type of tissue 6) Extent of bleeding.

 

4.      Lips-Control Assistive Communication System for The Serious Disabled

In this project, the aim is to develop communication system for disabled persons in order to ease their day to day activities based on the lips movement

Two day workshop on ‘Data structures and Algorithms’ at ASIET,Kalady

 

ISTE sponsored one week training program on Linux Administration And Networking conducted at ASIET Kalady

 

One week training program on ‘Technical Teachers Training” conducted by AICTE at MPCCET, Bhilai

 

One week ISTE AICTE training program on “ Latest advances in algorithm analysis and design” at Thapar University, Patiala.

 

One day workshop on Datamining Using SPSS at CUSAT,COCHIN.

 

Two weeks workshop on Datamining  and Datawarehousing at Vel Tech Multi Tech Engg college ,Chennai

 

Two weeks workshop on ‘Recent Trends And Application In Image Processing’ in Model Engg college, Trikkakkara

 

One week workshop on National Instructional Workshop in Cryptology at CUSAT, May 6-10, 2013

 

Two day workshop on ‘Medical Image Computing’ conducted at NITK , Surathkal ,17-18 Jan 2014

 

One week FDP on Pattern Recognition and Machine Learning  to be held during June 23- June 28, 2014 at NIT Calicut

 

Professional Body Membership

Life member ISTE (LM 57755)

Member CSI

Awards

Ø  Post-Doctoral Research Fellowship from Kerala State Council for Technical Education (KSCTE) for the year 2015.

Ø  St Joseph College Centenary Medal winner  for outstanding Academic performance(PG), 2000

Ø  Surjanarayana Memorial Medal winner (PG), 2000

Ø  Best Teacher Award for the year 2014 at ASIET Kalady, 2014

Ø  Silver partnership Certificate from Infosys Campus Connect Program, 2015

Books Published

C Programming and Data structures: By Manesh T & Abraham Varghese

Consultancy Services