Brijesh Singh

Ph.D. Research Scholar Department of Computer Science and Engineering, Indian Institute of Technology Guwahati (IITG) Guwahati Assam, India E-mail: brijesh.singh [at] iitg.ac.in

About me

I am a Ph.D. student at Depeartment of Computer Science and Engineering, Indian Institute of Technology Guwahati.
Presently, I am working in area of Computer Vision and Image Processing under the joint supervision of Dr. Arijit Sur and Dr. Pinaki Mitra.

Research

My research interests include

• Computer Vision

• Image Processing

• Image Forensics using Deep Learning

Recent Publications

1. Singh, B, A Sur, P Mitra "Steganalysis in Digital Images using Fractal Network". IEEE Transactions on Computational Social Systems. (2021) [link]

2. Singh, B, M Chhajed, A Sur, P Mitra "Steganalysis using Learned Denoising Kernels". Multimedia Tools and Applications (Springer) 80, pp. 4903–4917. (2021) [link]

3. Rawat, R., Singh, B., Sur, A. and Mitra, P., "Steganalysis for clustering modification directions steganography". Multimedia Tools and Applications, 79(3), pp.1971-1986. (2020) [link]

4. Singh, B, P K Sharma, R Saxena, A Sur, and P Mitra. "A New Steganalysis Method using Densely Connected Convnets",
   In 8th International Conference on Pattern Recognition and Machine Intelligence (2019) [link]

Under Submission

1. Singh, B, P K Sharma, S A Huddedar, A Sur, P Mitra "StegGAN: Hiding Image within Image using Conditional Generative Adversarial Network". Multimedia Tools and Applications (Springer). (2021) (Revision submitted)

Coding Skills

• C++

• Python

• Tensorflow

• PyTorch

• Matlab

My Implementations of Existing Steganalysis models using Pytorch

• A New Steganalysis Method using Densely Connected Convnets [code]

• Deep Residual Network for Steganalysis of Digital Images (SRNet) [code]

• Deep Learning Hierarchical Representations for Image Steganalysis (YeNet) [code]

• Structural Design of Convolutional Neural Networksfor Steganalysis (XuNet) [code]

• Deep Learning for Steganalysis via Convolutional Neural Networks (GNCNN) [code]

• ReST-Net: Diverse Activation Modules and Parallel Subnets-Based CNN for Spatial Image Steganalysis [code]

Teaching Assistantship

• CS 221 Digital Design

• CS 110 Computing Laboratory

• CS-574 Computer Vision using Machine Learing

• CS-346 Compiler Design

• CS-590 Deep Learning

• CS-361 Machine Learning

Tutorials

• Overview of Steganography and Steganalysis [link]

Achievements

• MHRD Fellowship grant for 5-years for pursuing Ph.D. from IIT Guwahati (July 2015 - July 2020)

• Qualified JRF in UGC-CSIR National Eligibility Test (NET) in Engineering Sciences (2014)

• Qualified JRF in UGC National Eligibility Test (NET) in Computer Science (2013)

• Qualified Graduate Aptitude Test in Engineering (GATE) in CSE (2009, 2010, 2011)

• Awarded by Shri Radhabai Kapre Gold Medal for completing AMIETE with highest percentage without exemption. (2009)

Reviewers Duty

• International Conference on Advances in Pattern Recognition (ICAPR)

• International Conference on Pattern Recognition and Machine Intelligence (PReMI)

• IEEE Transactions on Intelligent Transportation Systems

• IEEE Transactions on Computational Social Systems

• Neural Computing and Applications (Springer)

Workshop and Conferences (Volunteering and Organizing)

• 10th Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP 2016), IIT Guwahati, India

• 4th Annual International Conference on Algorithms and Discrete Applied Mathematics (CALDAM 2018), IIT Guwahati, India

Position of Responsibility

• General Secretary of MSH Hostel, IIT Guwahati (Apr. 2018 - Apr. 2019)