Welcome to my homepage

About Me

I am a PhD student in the Deptartment of Electrical and Computer Engineering at Drexel University, which I joined in the Fall of 2014. I work as a research assistant under Dr. Matthew Stamm in the Multimedia and Information Security Laboratory (MISL). Much of my research focuses on developing new deep learning techniques applied to multimedia forensics to detect forgeries such as image editing. Moreover, I extend the use of my work to identify image's source camera. I previously worked on different research areas such as relaxation, convex optimization, compressive sensing and genomic signal processing, etc.

I earned my M.S. in Electrical and Computer Engineering in July 2014 at Rowan University, New Jersey. Prior to my graduate studies, I earned my Bachelor's Degree in Electrical Engineering at École Nationale d'Ingénieurs de Tunis, in September 2011. After graduating, I worked as a Research Assistant at the University of Arkansas at Little Rock (UALR) from September 2011 to August 2013. During my master studies, I won the Best Paper Award at the IEEE International Workshop on Genomic Signal Processing and Statistics in 2013. In summer 2015 I interned at Samsung Reasearch America in Mountain View, California. More specifically, I have worked in the Scalable Learning Platform team on model compression in convolutional neural networks for power consumption optimization.

Research Interests

Deep Learning; Image Forensics; Text Mining; Signal Processing; Convex Optimization; Systems & Control; Dynamical Systems; Mathematical Modeling; Machine Learning; Bioinformatics.

Publications

Journal Publications

  1. B. Bayar and M. C. Stamm. "An Effective New Deep Learning Approach To Universal Image Manipulation Detection." to be submitted for journal publication.
  2. B. Bayar, N. Bouaynaya, and R. Shterenberg. "SMURC: High-Dimension Small-Sample Multivariate Regression with Covariance Estimation." IEEE Journal of Biomedical and Health Informatics. [Link to the paper in IEEE xplore]
  3. B. Bayar, N. Bouaynaya, and R. Shterenberg. "Probabilistic non-negative matrix factorization: theory and application to microarray data analysis." Journal of bioinformatics and computational biology 12.01 (2014): 1450001. [Link to the paper in World Scientific]

Conference Publications

  1. B. Bayar and M. C. Stamm. "Augmented convolutional feature maps for robust cnn-based camera model identification." Accepted in May to the 2017 IEEE International Conference on Image Processing (ICIP'17).
  2. B. Bayar and M. C. Stamm. "A Generic Approach Towards Image Manipulation Parameter Estimation Using Convolutional Neural Networks." Proceedings of the 5th ACM Workshop on Information Hiding and Multimedia Security. ACM, 2017. [Link to the paper in ACM Digital Libray]
  3. B. Bayar and M. C. Stamm. "On The Robustness of Constrained Convolutional Neural Networks to JPEG Post-Compression For Image Resampling Detection." The 2017 IEEE International Conference on Acoustics, Speech and Signal Processing. [Link to the paper in IEEE xplore]
  4. B. Bayar and M. C. Stamm. "Design principles of convolutional neural networks for multimedia forensics." The 2017 IS&T International Symposium on Electronic Imaging: Media Watermarking, Security, and Forensics. [Link to the paper in imaging.org DL]
  5. B. Bayar and M. C. Stamm. "A Deep Learning Approach to Universal Image Manipulation Detection Using a New Convolutional Layer." Proceedings of the 4th ACM Workshop on Information Hiding and Multimedia Security. ACM, 2016. [Link to the paper in ACM Digital Libray]
  6. B. Bayar, N. Bouaynaya, and R. Shterenberg. "Kernel reconstruction: An exact greedy algorithm for compressive sensing." The 2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP). [Link to the paper in IEEE xplore]
  7. B. Bayar, N. Bouaynaya, and R. Shterenberg. "Inference of genetic regulatory networks with unknown covariance structure." The 2013 IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS). (Best Paper Award)[Link to the paper in IEEE xplore]
  8. B. Bayar, N. Bouaynaya, and R. Shterenberg. "Clustering gene expression data using probabilistic non-negative matrix factorization." The 2011 IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS). [Link to the paper in IEEE xplore]

Honors & Awards

The Best Paper Award:
The Best Paper Award at GENSIPS'13 for the paper titled "Inference of Genetic Regulatory Networks with Unknown Covariance Structure".

NSF Travel Award for Students with the Best Peer Review Comments:
The 2013 IEEE International Workshop on Genomic Signal Processing and Statistics (Link to the award description on grantome.com).

NSF Travel Award for Students with the Best Peer Review Comments:
The 2014 IEEE International Workshop on Genomic Signal Processing and Statistics (Link to the conference website).

The 2017 Drexel Lee Smith Travel Fellowship:
Travel Award to the IEEE ICIP conference in Beijing, China.

The 2017 Drexel International Travel Award:
Travel Award to the IEEE ICIP conference in Beijing, China.

Graduate Deans' List -College of Engineering:
Cumulative Grade Point average of 4.0 for the Spring 2014 term, Rowan University (Check website).

Graduate Deans' List -College of Engineering:
Cumulative Grade Point average of 4.0 for the Fall 2013 term, Rowan University (Check website).

Why Python is a life saver: The RLE Algorithm

Python is a very powerful programming language for text mining and Natural Language processing (NLP). Everyday I am learning new tricks and getting amazed by Python where a dozen lines of code could be reduced to just a single line.
One of the codes that I have written is a simplified version of the Run-Length Encoding (RLE) Algorithm which is a lossless data compression technique. Here is the code:

s = input('enter a set of characters:\t')
''.join([''.join([char,str(s.count(char))]) for char in set(list(s))])

Isn't really IMPRESSIVE?!!
Try it yourself and you'll be amazed too..
Now, can't we say that Python is a life saver for programmers :-)

Contact Information

Lab: Bossone Research Enterprise Center, Room 306

Email: belhassen.bayar@drexel.edu

Mailing Address:
3120 Market Street
Drexel University
Philadelphia, PA 19104

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