Personal information

Iran

Biography

My name is Behrouz Bolourian Haghighi (B.BH). I was born in Mashhad, Iran, in 1991. I received my B.Sc. degree in software engineering from Islamic Azad University of Mashhad, Iran, in 2013 and M.Sc. in artificial intelligence and robotics from Ferdowsi University of Mashhad (FUM), Iran, in 2017. I have been beginning my Ph.D. in artificial intelligence and robotics at FUM in 2018. My research interests include Data Hiding, Image processing, and Machine Vision applications. My current research is focused on incorporating Reinforcement Learning (RL), Probabilistic Graphical Models (PGM) and Deep Neural Networks techniques for designing Steganography and Steganalysis algorithms.

Activities

Education and qualifications (2)

Ferdowsi University of Mashhad: Mashhad, Razavi Khorasan, IR

2018 to present | Doctor of Philosophy in Artificial Intelligence and Robotics (Department of Computer Engineering)
Education
Source: Self-asserted source
Behrouz Bolourian Haghighi

Ferdowsi University of Mashhad: Mashhad, Razavi Khorasan, IR

2014-09-23 to 2017-09-09 | Master of Science in Artificial Intelligence and Robotics (Department of Computer Engineering)
Education
Source: Self-asserted source
Behrouz Bolourian Haghighi

Works (4)

An Effective Semi-fragile Watermarking Method for Image Authentication Based on Lifting Wavelet Transform and Feed-Forward Neural Network

Cognitive Computation
2020-06-04 | Journal article
Part of ISSN: 1866-9956
Part of ISSN: 1866-9964
Source: Self-asserted source
Behrouz Bolourian Haghighi

WSMN: An optimized multipurpose blind watermarking in Shearlet domain using MLP and NSGA-II

2020-05-07 | Preprint
Source: Self-asserted source
Behrouz Bolourian Haghighi

TRLG: Fragile blind quad watermarking for image tamper detection and recovery by providing compact digests with optimized quality using LWT and GA

Information Sciences
2019-06 | Journal article
Part of ISSN: 0020-0255
Source: Self-asserted source
Behrouz Bolourian Haghighi

TRLH: Fragile and blind dual watermarking for image tamper detection and self-recovery based on lifting wavelet transform and halftoning technique

Journal of Visual Communication and Image Representation
2018 | Journal article
Source: Self-asserted source
Behrouz Bolourian Haghighi

Peer review (24 reviews for 7 publications/grants)

Review activity for Computers & electrical engineering. (2)
Review activity for Engineering applications of artificial intelligence. (1)
Review activity for Machine vision and applications. (2)
Review activity for Maǧalaẗ ǧamʼaẗ al-malīk Saud : ùlm al-ḥasib wa al-maʼlumat. (4)
Review activity for Multimedia tools and applications. (12)
Review activity for Neural computing & applications. (2)
Review activity for Neural networks. (1)