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Mokhov, Serguei
Concordia University
Montreal, Canada
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Serguei A. Mokhov obtained his PhD from Concordia University, Montreal, Quebec, Canada, where he completed his bachelor’s and master’s degrees in computer science and information systems security. Mokhov’s diverse research interests include intentional programming, distributed and autonomic computing, computer forensics, information systems security, artificial intelligence, software engineering, and computer graphics. His PhD dissertation was in the intentional cyberforensics area. Mokhov’s reviewing interests at Computing Reviews are just as diverse.

Professionally, he has worked in the Faculty of Engineering and Computer Science’s Academic and Information Technology Services (AITS) group as a systems administrator performing application development and Linux desktop support. He currently works on the Faculty’s network infrastructure, providing support, installation, security, and maintenance, as well as developing tools.

Mokhov’s current R&D projects focus on multiple aspects of the Forensic Lucid specification and evaluation language for digital investigations; open-source tools based on the modular audio recognition framework (MARF), such as MARFCAT and MARFPCAT for code and network pattern analysis and classification; and the general intentional programming system (GIPSY). Mokhov is also a part-time faculty member (since 2003), and has taught more than ten courses on various subjects in computer science and software engineering at the undergraduate and graduate levels.

He has served as a referee and reviewer for several academic journals and conferences, and has published a number of research works. He is also an assistant editor at Scholarpedia, a peer-reviewed, open-access encyclopedia.

Date Reviewed  
- 9 of 9 reviews

  Automated segmentation of macular layers in OCT images and quantitative evaluation of performances
Ghorbel I., Rossant F., Bloch I., Tick S., Paques M.  Pattern Recognition 44(8): 1590-1603, 2011. Type: Article

Ghorbel and others introduce “automated segmentation of macular layers in [optical coherence tomography, OCT] images and quantitative evaluation of performances,” a recent multi-layer segmentation work in OCT image processing. I believ...

Aug 5 2013  
  Background subtraction based on phase feature and distance transform
Xue G., Sun J., Song L.  Pattern Recognition Letters 33(12): 1601-1613, 2012. Type: Article

Xue et al. present a new background subtraction algorithm for images with various degrees of complexity in this detailed paper. The high-level algorithm is presented in figure 7. At its core is a new phase-based model created for background repres...

Jun 7 2013  
   Speeding up CRC32C computations with Intel CRC32 instruction
Gueron S.  Information Processing Letters 112(5): 179-185, 2012. Type: Article

Gueron introduces an algorithm to speed up the CRC32C implementation using the corresponding central processing unit (CPU) CRC32 instruction from Intel to compute cyclic redundancy checks of an arbitrary length buffer with inputs ranging from eigh...

Jun 11 2012  
   The anti-forensics challenge
Dahbur K., Mohammad B.  ISWSA 2011 (Proceedings of the 2011 International Conference on Intelligent Semantic Web-Services and Applications, Amman, Jordan,  Apr 18-20, 2011) 1-7, 2011. Type: Proceedings

Dahbur and Mohammad introduce this paper as a survey of tools and techniques in the emerging field of anti-forensics, together with their classification. The authors explicitly address only computer anti-forensics (CAF), deferring network anti-for...

Jan 24 2012  
   Robust audio identification for MP3 popular music
Li W., Liu Y., Xue X.  SIGIR 2010 (Proceeding of the 33rd International ACM SIGIR Conference on Research and Development in Information Retrieval, Geneva, Switzerland,  Jul 19-23, 2010) 627-634, 2010. Type: Proceedings

Li, Liu, and Xue tackle the problem of audio identification in MP3-encoded popular music. They focus on the compressed format as opposed to previously published works on music identification that have focused primarily on decoded raw audio data wa...

Aug 29 2011  
   The pervasive trust foundation for security in next generation networks
Lilien L., Al-Alawneh A., Ben Othmane L.  NSPW 2010 (Proceedings of the 2010 Workshop on New Security Paradigms, Concord, MA,  Sep 21-23, 2010) 129-142, 2010. Type: Proceedings

In this paper, Lilien et al. propose the pervasive trust foundation (PTF), a new paradigm for the security of next-generation networks (NGNs). The paper reviews and surveys existing literature and terminology related to the trust aspects of a vari...

Apr 13 2011  
  Attribute reduction in ordered information systems based on evidence theory
Xu W., Zhang X., Zhong J., Zhang W.  Knowledge and Information Systems 25(1): 169-184, 2010. Type: Article

Xu et al. make a strong point for the necessity of attribute reduction in ordered information systems and offer a convincing solution. Their approach exploits the relationship between the Dempster-Shafer theory (DST) of mathematical evidence and P...

Feb 23 2011  
  Stochastic-based pattern-recognition analysis
Canals V., Morro A., Rosselló J.  Pattern Recognition Letters 31(15): 2353-2356, 2010. Type: Article

The title of this paper is supposedly derived from the authors’ stochastic logic approach to a pattern recognition problem. However, the title is a bit misleading: stochastic pattern recognition has been around for quite a while, and the wor...

Jan 14 2011  
  A state of the art in structured light patterns for surface profilometry
Salvi J., Fernandez S., Pribanic T., Llado X.  Pattern Recognition 43(8): 2666-2680, 2010. Type: Article

The authors survey and describe a state-of-the-art methodology that uses structured light techniques for surface profilometry....

Nov 15 2010  
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