Thesis Supervision

Dr. Kangkana Bora

Institute Post Doctoral Fellow.  Research area: Biomedical Image Processing.  

Research objectives: One important  objective is  to propose an intelligent system for automatic categorization of pap smear images to detect cervical dysplasia. An endoscope is a medical instrument that acquires images inside the human body. Another objective is to propose a new approach for  automatic detection of polyp regions in an endoscope image using  machine learning approaches.

Email: kangkana.bora@iitg.ac.in

Syuw Kang

This research work aims in applying intelligent Closed-Circuit Television  (CCTV)  to enhance counter-terrorism capability for the protection of mass transport systems. (Jointly in UQ)  (Defended on 2 May, 2007)

Thesis Title: Tracking of Persons for Intelligent CCTV-based Video Surveillance.

Malathi. T

Stereo correspondence finds corresponding matching pixels in the stereo image pairs. The difference between the coordinates of these matching pixels gives the disparity value, which in turn can be used for finding the depth information of a scene. The thesis deals with the problems of finding accurate disparity map. (Defended on 24 July, 2017)

Thesis Title: Estimation of Disparity Map from Stereo Image Pairs in Presence of Occlusion

Email: malathi@iitg.ac.in

Sunil Kumar

Recognition of human’s emotion through facial expressions has many important applications. Recognition of facial expressions from non-frontal faces, and recognition from different views are two important research challenges. This research works aims at developing some advanced algorithms for facial expression recognition. (Defended on 06 Nov, 2017).

Thesis Title: Extraction of Facial Informative Regions and Discriminative Shared Space for Facial Expression Recognition.

Email: snk@iiitm.ac.in

Biplab K. Chakraborty

Skin detection is an important step in various image processing and vision-based Human  Computer  Interaction  (HCI) applications. Skin detection is the process of finding skin-coloured pixels and regions in an image or a video. A set of skin detection algorithms is proposed for different imaging conditions using chromatic and textural properties of skin regions. (Defended on 15 March, 2018).

Thesis Title: A Novel Framework for Segmentation of Skin Regions using Chromatic and Textural Information

Email: ketanbiplab@gmail.com

Amit Vishwakarma

Image fusion is a technique to assimilate information acquired from similar or dissimilar sources of images. Compared to the source images, fused images convey more information, and they have more clarity. Different image fusion methods are proposed in the thesis. (Defended on 27 July, 2019).

Thesis Title: Multi-sensor Image Fusion using Optimized and Adjustable Non-subsampled Shearlet Transform and Measurement of Fusion Performance.

Email: a.vishwakarma@iitg.ac.in

Tilendra Choudhary

The research work aims at anyalyzing Seismocardiogram Signal for cardiac conditions analysis. (Synopsis Seminar 11.05.2020), Jointly with Dr.L.N. Sharma.  

https://www.iitg.ac.in/stud/tilendra/

Thesis Title: Automatic Detection of Aortic Valve Opening using Seismocardiography in Healthy Individuals  

Email: tilendra@iitg.ac.in

Pradipta Sasmal

The research work aims at segmenting and detecting of polyps in endoscopic images and videos. (Date of joining  22.07. 2015 & continuing.).

Thesis Title: Segmentation of Polyps in Endoscopic Images.

Email: s.pradipta@iitg.ac.in

Debajit Sarma

This research work mainly deals with the problem of dynamic and continuous hand gesture recognition for HCI. (Date of joining 22.07. 2015 & continuing.).  

Thesis Title: Dynamic and Continuous Gesture Recognition.  

Email: s.debajit@iitg.ac.in

Anjan Kumar Talukdar

Gesture segmentation is a prerequisite stage to continuous gesture recognition which locates the start and end points of a gesture in an input sequence.  In this work, we focus our attention on coping with this problem associated with continuous gesture recognition. (Date of joining 23.07. 2010 & continuing.) (Part time).

Email: anjantalukdar@gauhati.ac.in

Pranab Jyoti Haloi

Content-based visual information retrieval (CBVIR) or content-based image retrieval (CBIR) has been one on the most vivid research areas in the field of computer vision. This research works aims at developing novel algorithms for CBIR. (Date of joining 21.07. 2011 & continuing.) (Part time)

Thesis Title: Content-based Image Retrieval

Email: pranabjyoti2003@gmail.com

Nadeem Atif

VLSI implementation of Image Segmentation Algorithm. (Date of joining 21.07. 2017 & continuing.) (Jointly with Prof. S.R. Ahmed).

Thesis Title: Semantic Image Segmentation and VLSI Implementation.

Email: atif176102103@iitg.ac.in

H. Pallab Jyoti Dutta

Gesture-based keyboard design (Date of joining 22.07. 2018 & continuing.)

Thesis Title: Virtual Keyboard Design.

Email: h18@iitg.ac.in

Mousumi Das

Biomedical signal and image processing (Date of joining 22.07. 2018 & continuing.) (Jointly with Dr. L.N. Sharma)

Email: mousumi18a@iitg.ac.in

Allen Patnaik

Biomedical signal and image processing (Date of joining 22.12. 2018 & continuing.)

Thesis Title: Biometrics and Machine Learning.

Email: allen.patnaik@iitg.ac.in

Vanshali Sharma

Medical Image Processing (Date of joining 22.12. 2018 & continuing.) (Jointly with Prof. P.K. Das, Dept. of CSE)

Thesis Title: Medical Image Processing.

Email: vanshalisharma@iitg.ac.in

Saquib Mazhar

VLSI implementation of Image Processing Algorithms. (Date of joining 01.01. 2019 & continuing.) (Jointly with Prof. S.R. Ahmed).

Thesis Title: VLSI implementation of Image Processing Algorithms.

Email: saquibmazhar@iitg.ac.in

Riyaj Uddin Khan

Riyaj Uddin Khan is working as a Research Scholar in the Department of electronics and electrical engineering, Indian Institute of Technology, Guwahati, India. He received his B.Tech. and M.Tech. degree from Aligarh Muslim University, Aligarh, India, in 2015 and 2017 respectively. His research interest includes biomedical signal processing, machine learning, brain-computer interface, neurodegenerative diseases, computer-aided medical diagnosis, and Alzheimer's disease (AD). (Date of joining 19.07. 2019 & continuing.) (Jointly with Prof. S.R. Ahmed).

 

Email: r.uddin@iitg.ac.in

Snehil Sanyal

Computer Vision and Machine Learning.

Thesis Title: To be decided. (Date of joining 19.07.2019)

Email: ssanyal@iitg.ac.in

Rajarshi Goswami

Dual(MS+PhD) Electronics and Communication Engineering. 

Thesis Title: To be decided. (Date of joining 19.07.2019)

Email: rgoswami@iitg.ac.in