M.C.A. Projects Guided:    30

M.Tech. Dissertations Guided:    70

2021-24  M.Tech. (Part-Time) Batch (Department of Computer Science, CUSAT)

• Sneh Anna Philip - "Aggressive Sports Action Recognition based on 3D-CNN".

2022-24  M.Tech. Batch (Department of Computer Science, CUSAT)

• Sharon Christabel - "Facial Sketch Synthesis using Generative Adversarial Network".

• Dheeraj S. Nair - "Performance of Metric Learning based Few-Shot Image Classification Networks in Multi-Domain Applications".

• Farzana Khareem - "Video Action Recognition".

• Sirajulhugh V. M. - "Dehazing and Object Detection".

• Nasrin A. Mahin - "Underwater Image Enhancement with Hyper-Laplacian Reflectance Priors".

2021-23  M.Tech. Batch (Department of Computer Science, CUSAT)

• Rakesh K. P. - "Change Detection from Bi-Temporal Multispectral Satellite Images with Self-Supervised Learning".

• Faseela A. A. - "Automated Grading of Diabetic Retinopathy using Ensembled Convolutional Neural Networks".

• Cillah Reji Samuel - "Kidney Tumor Segmentation using Deep Learning Techniques".

• Naveena P. R. - "Lung Cancer Classification using Deep Learning".

• Sreelakshmi T. R. - "Mediastinal Lesion Analysis using Stochastic-pooling based SPP Network and BiFPN".

2020-22  M.Tech. Batch (Department of Computer Science, CUSAT)

• Ansiya Mohammed - "Computer-Aided Classification of Skin Cancer Using Convolutional Neural Networks".

• Rineesh Babu P. - "Deepfake Detection Using Multi-path CNN with Convolutional Block Attention".

• Sruthi S. - "Semantic Segmentation Using Fully Convolutional Neural Networks with Atrous Convolution".

• Keerthana P. V. - "MRI Brain Tumor Image Classification Using Lie Group Theory".

• Nazeera K. K. - "Deep Learning Based Sign Language Translation".

2019-22  M.Tech. (Part-Time) Batch (Department of Computer Science, CUSAT)

• Kanakambaran Nair - "Retail Product Tagging and Categorization using Unsupervised Learning".

• Sanila Salim - "FruitVegNet: A Novel CNN for Fruit Recognition".

• Divya Y. - "Brain Tumor Classification and Segmentation using Deep Learning".

2019-21  M.Tech. Batch (Department of Computer Science, CUSAT)

• Jishnu Jeevan - "On the Performance Analysis of Solving the Rubik’s Cube Using Swarm Intelligence Algorithms".

• Jyothis V. James - "Emotion Detection and Classification from Audio".

• Neha M. V. - "A Twitter Spam Detection Technique by Integrating Inception Network with Attention-based LSTM".

• Nikhil Joson - "Image Synthesis and Melanoma Classification using Semi-Supervised GAN".

• Aswini P. K. - "Computer-aided Diagnosis of Ocular Diseases in Fundus Images using Deep Learning Techniques".

• Aswathy Manoj - "Machine Learning Approaches for the Prediction of Advanced Liver Fibrosis in Chronic Hepatitis-C Patients".

2018-20  M.Tech. Batch (Department of Computer Science, CUSAT)

• Negitta Nixon Karakunnel - "Brain Tumour Detection from MRI Images using Deep Convolutional Neural Networks".

• Febina Yusuf - "Data Processing, Visualisation and Tactical Decision Making Tool for Indian Ocean utilizing the 3-D Ocean Circulation Model".

• Keerthy Sreekumar - "Sparse Representation based Classification using Subspace Projection".

• Ajay E. S. - "Improved Video Surveillance System for a Confined Space - ATM".

2017-20  M.Tech. (Part-Time) Batch (Department of Computer Science, CUSAT)

• Shajahan S. - "Segmentation of Brain Tumor Images using Deep Neural Network".

• Santhosh V. T. - "End-to-End Deep Video Compression Framework".

• Lakshmi Narayanan G. - "Distance Estimation using Inverse Perspective Mapping".

2017-19  M.Tech. Batch (Department of Computer Science, CUSAT)

• Prasanthi E. R. - "Speaker Diarization using d-Vector Embeddings".

• Meenu P. Chandran - "Object Detection from Images using Machine Learning Techniques".

• Binsha Benny - "Cell Nuclei Segmentation from Histopathological Images".

• Ashitha Gopalakrishnan - "Human Action Recognition from Videos".

• Geethu A. - "Static Video Summarization using Superframe Segmentation".

2014-16  M.Tech. Batch (Department of Computer Science, University of Kerala)

• Priya Mariam Raju - "Copy Move Forgery Detection using Binary Discriminant Features".

• Vidya K. - "Image Segmentation using Global/Local Affinity Graph".

• Mariya Thomas - "Content Based Image Retrieval using Block Truncation Coding Features".

• Ghanasyam P. B. - "Detection of Face Spoofing using Total Dynamic Mode Decomposition".

• Anila S. O. - "Stereo Vision Based Road Surface Segmentation and Obstacle Detection".

• Neethu R. - "Multi-Frame Image Super Resolution by Adaptive Diffusion Based Regularizer".

2013-15  M.Tech. Batch (Department of Computer Science, University of Kerala)

• Neethu Vijayan - "Hyperspectral Image Classification using Dynamic Multiple Classifier System".

• Surya Krishnan G. R. - "Image Denoising using Non-Local Means with Monte Carlo Random Sampling".

• Kaushal Joshi - "Real Time Pedestrian Detection using CENTRIST Feature with Distance Estimation".

• Ayswarya A. T. - "Single Image Super Resolution using Statistical Edge Prior and Cross-Scale Similarity".

2012-14  M.Tech. Batch (Department of Computer Science, University of Kerala)

• Viswajith P. Viswanath - "ROI based Pedestrian Detection using ACM with Partial Occlusion Handling".

• Aneesh Raj S. S. - "Satellite Image Resolution Enhancement using Nonsubsampled Contourlet Transform".

• Raji R. - "Texture based Histogram Specification for Color Image Enhancement using Image Fusion". (Shortlisted for the final round of the Innovative Student Projects Award 2015 for the Best M.Tech. Thesis,  instituted by the Indian National Academy of Engineering (INAE), New Delhi.) [Details]

• Sujin Surendran S. - "A Fast and Efficient Approach to NLML for Rician Noise Reduction in MR Images".

• Neethu A. S. - "Despeckling of SAR Images using Monte Carlo Texture Likelihood Sampling".

• Asrar Ahmad - "Two Phase Steganography using Error Image".

2011-13  M.Tech. Batch (Department of Computer Science, University of Kerala)

• Pillai Praveen Thulasidharan - "Copyright Protection of Digital Images Through QR Code Based Watermarking".

• Baby Resma K. P.  - "Optimal Multilevel Threshold Selection for Image Segmentation Using Bio-Inspired Optimization Techniques".

• Rema M. - "Segmentation of Human Intestinal Parasites from Microscopy Images Using Active Contour Model".

• Jithin Raj - "Forgery Detection in Ballistic Motion Videos Using Motion Estimation and Modelling".

• Susmi Jacob - "Multiscale Regression Framework for Image Reconstruction from Random Samples".

• Sindhu S. - "Content Based Image Retrieval Based on Multi-Feature Analysis".

2010-12  M.Tech. Batch (Department of Computer Science, University of Kerala)

• Christy Jojy - "SAR Image De-speckling using Importance Sampling Unscented Kalman and Non Local Means Filters". (Recipient of the Innovative Student Projects Award 2013 for the Best M.Tech. Thesis, instituted by the Indian National Academy of Engineering (INAE), New Delhi.) [Certificate][Details]

• Riji R. - "Iterative Bilateral Filter for Rician Noise Removal from Magnitude MRI".

• Neethu V. Gopal - "Distortion Sensitivity based Image Watermarking Scheme using Fuzzy-ART".

• Jisha Jose - "Fuzzy based Fractional Anisotropic Diffusion for Edge Preserving Speckle Reduction with Contrast Enhancement".

• Kavitha M. R. - "Partitioned Iterated Function based Technique for Enhancing Low Contrast Images".

• Lekha S. Nair - "Random Impulse Noise Reduction from Color Video using Fuzzy Logic".

2009-11  M.Tech. Batch (Department of Computer Science, University of Kerala)

• P. M. Ameera Mol - "Image Denoising using Adaptive Weighted Switching Median Filters".

• Arun D. Panicker - "Vision-Based Driver Drowsiness Detection using Iris-Sclera Pattern Analysis". (Shortlisted for the final round of the Innovative Student Projects Award 2012 for the Best M.Tech. Thesis, instituted by the Indian National Academy of Engineering (INAE), New Delhi.) [Details]

• Arjun J. S. - "An Efficient Face Recognition System based on Gabor Phase Pattern and Phase only Correlation".

• Viju Shankar - "Predictive-based Adaptive Switching Median Filter for Impulse Noise Removal using Neural Network based Noise Detector".

• Reji J. - "Directional Weighted Switching Median Filter for Impulse Noise Removal in Medical Images".