Brijesh Singh

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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)