Department of Computer Applications

Recent Research- Identification and classification of low intensity facial expressions on autistic kids below
the age of 12 -Assessing the importance of expression intensity

This study focuses on identifying the expressions on the face of autistic children. In most cases autistic children lack facial expression. In our previous study, the focus was on high -intensity facial expressions and now we concentrating on low intensity facial expressions. Our expert system uses 3D facial features of autistic kids as one of the features for predicting child hood autism and its categories. The ultimate aim is to identify the feasibility of using face as a biomarker in autism research

Major Areas of research

  • Machine Learning
  • Facial Emotion Recognition
  • Neural Network and Fuzzy Logic
  • Malware Analysis
  • Data Privacy and Protection
  • Cyber Security
  • Data Science
  • Big Data Analytics
  • Multimedia Forensics
  • Natural Language Processing
  • Cloud Computing
  • Digital Fingerprinting
  • Content-based Copy Detection
  • Discrete Cosine Transform
  • Discrete Wavelet Transform

Research topics by Faculty member

Dr. Biku Abraham

Discriminant Analysis Using Classification for Time Series Data

Dr. Rajesh K S

Sketch based image retrieval using Siamese Network

Dr. Shajan Joseph

A novel command driven mechanism to extrude malware attached to files and folders by analyzing signatures and patterns

Dr. Ambili P.S.

Secure Sweat Analyzer based Sensor Network with Fog Computing Architecture for Independent Elderly Living

Enhanced user personalization by Usage Mining (Data Mining Techniques)

Reji R

Region based 3D face recognition, Altered finger print identification and analysis

3D face recognition system in time critical security applications

3D facial features in neuro-fuzzy model for predictive grading of childhood autism

Compact deep learning model for robust facial expression recognition

Region based 3D face recognition using convolutional neural network

Preetha S

How effectively discrete cosine and wavelets can be used to analyse video data.


Dr M D Mathew

Dean PG & Research

Saintgits College of Engineering

+91 481 2436169 [Ext-505]