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. (February, 2019 to August, 2019)

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. This research work aims at extracting facial informative regions and  discriminative shared space 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

This research works aims at developing some advanced algorithms for delineation of Seismocardiogram (SCG) waveform for standalone and other cardiac-signal assisted approaches. (Defended on 19 Oct, 2020).

(Jointly with Dr. L.N. Sharma.)  https://www.iitg.ac.in/stud/tilendra/

Thesis Title: Waveform Delineation and Analysis of Seismocardiographic Signals

Email: tilendra@iitg.ac.in

Pradipta Sasmal

The research work aims at segmenting and detecting of polyps in endoscopic images and videos. (Defended on 20 Aug, 2022).

Thesis Title:  Automated Detection and Classification of Polyps in Colonoscopy Videos

Email: s.pradipta@iitg.ac.in

Debajit Sarma

This research work mainly deals with the problem of dynamic hand gesture recognition. (Defended on 21 Oct, 2022).  

Thesis Title: Hand Detection and Segmentation Schemes for Trajectory-guided 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. (Self Sponsored & Part time). (Defended on 27.06.2022)

 Thesis Title: Movement Epenthesis Detection in Compressed and Uncompressed Continuous Sign Language Videos.

 

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.) (QIP)

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)

Thesis Title: Biomedical signal and image processing

Email: mousumi18a@iitg.ac.in

Allen Patnaik

Image processing and Machine Learning (Date of joining 22.12. 2018 & continuing.)

Thesis Title: Image classification in remote sensing

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

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).

Thesis Tiltle: Brain-computer interface and neurodegenerative diseases. 

Email: r.uddin@iitg.ac.in

Snehil Sanyal

Computer Vision and Machine/Deep Learning. (Date of joining 19.07.2019)

Thesis Title: Facial Expression Recognition and Animation.

Email: ssanyal@iitg.ac.in

Rajarshi Goswami

Computer Vision and Machine/Deep Learning, Dual(MS+PhD) Electronics and Communication Engineering. (Date of joining 19.07.2019)

Thesis Title: An automated method for detection of intoxicated persons. 

Email: rgoswami@iitg.ac.in

Bibek Goswami

Computer Vision and Machine Learning. (Date of joining 27.07.2020)

Thesis Title: Medical Image Analysis.

Email: b.goswami@iitg.ac.in

Harshal Rajendra Chaudhari

Deep learning in Digital Holography (Date of joining: 24.08.2020) (Jointly with Dr. Rishikesh Dilip Kulkarni).

Thesis Title: Deep learning in Digital Holography

Email: charshal@iitg.ac.in

Gulafshan Saifi

Biomedical signal and image processing (Date of joining 28.07. 2021 & continuing.) 

Thesis Title: Biomedical signal and image processing

 

Email: egulafshan@iitg.ac.in

Kamal

Computer Vision (Date of joining 28.07. 2021 & continuing.) (Jointly with Dr. D. R. Neog)

Thesis Title: Computer Vision. 

 

Email: kkamal@iitg.ac.in

Nitin Yadav

Computer Vision (Date of joining 04.08. 2022 & continuing.)

Thesis Title: Computer Vision. 

Email: nitin.yadav@iitg.ac.in

Pallapu Mohan Krishna

Computer Vision (Date of joining 26.07. 2022 & continuing.) (Jointly with Dr. D. R. Neog)

Email: k.pallapu@iitg.ac.in