Home » Abbas Cheddad
Abbas Cheddad
Senior Lecturer at BTH
Medical/Image Processing & Big Data


I did my PhD at the Faculty of Computing and Engineering at the University of Ulster in the UK. My PhD’s focus was on strengthening steganography in digital images. My thesis, completed in 2009, was a worthwhile contribution to knowledge in the subject area and also produced two successful international patent applications. Current ongoing research with University of Ulster involves the commercialisation and continued development of the Steganoflage algorithm to support our spin-out company, HidInImage Ltd. I received my M.Sc in Computer Science in 2005 where I secured a fellowship award from Universiti Teknologi Malaysia. My work back then was dedicated to face segmentation and feature extraction, using Voronoi Triangulation, which generated multiple conference papers and a manuscript in the Pattern Recognition journal, Elsevier. I have in records 13 international, peer reviewed, Journal papers, 26 peer reviewed international conference papers, 3 patents applications, a book and a book chapter. I have won several awards, among which: faculty of Computing and Engineering best literature review prize (2008), best PhD thesis award of the Faculty of Computing and Engineering (2009) and best conference paper prize awarded by the Institution of Engineering and Technology. I have also been awarded a research grant from University of Ulster’s Innovation centre worth £7,430 and Invest NI & European Regional Development Fund worth £77074.20.

I have a good command of MATLAB®, PHP&MySQL, R, and Java and I am very familiar with the following 3D reconstruction and visualization software: NRecon, Bioptonics Viewer, Data Viewer, Volocity, Drishti and ImageJ.

### Employment

# Oct 2015 - Further notice:
Assistant. Prof/ Senior Lecturer
Department of Computer Science and Engineering
Blekinge Institute of Technology, BTH.

# 2012 - Sept 2015:
I joined Karolinska Institutet (Department of Medical Epidemiology and Biostatistics) in Stockholm as a Postdoc working on risk assessment of breast cancer via statistical image processing. I am also involved in the automation of the Cumulus software (mammography density measurement semi-automatic tool).
# 2010 - 2012:
Post-doc Researcher: I worked at Umeå Centre for Molecular Medicine (UCMM), Umeå University, Sweden. I was responsible for developing imaging algorithms to enhance the reconstruction quality of OPT (Optical Projection Tomography) data. This work culminated in the provision of a software package called DSPOPT, see below section “Open-access computer programs”, which is now provided free of charge to the research community. Several research centres in Australia (Monash University), Finland (Oulu University), UK (MRC University Unit For Human Genetics, University of Edinburgh- and Imperial College London), Denmark (Novo Nordisk Company), Czech Republic (the Academy of Sciences) and Sweden (Umeå University and Lund University) are now using this software, integrating it into commercial OPT scanners in their respective laboratories.

Peer-reviewed papers in scientific journals (17)

- Cheddad A, Czene K, Hall P and Humphreys K.(2015). Pectoral muscle attenuation as a marker for breast cancer risk in Full Field Digital Mammography. Accepted for publication in Cancer Epidemiology, Biomarkers & Prevention (CEBP). American Association for Cancer Research. PMID: 25870223. doi: 10.1158/1055-9965.EPI-14-1362.

- Brik B, Lagraa N, Lakas A, Cherroun H and Cheddad A. (2015). ECDGP: Extended Cluster-Based Data Gathering Protocol for Vehicular Networks. Accepted for publication in Wireless Communications and Mobile Computing. John Wiley & Sons, Ltd.

- Holm J, Humphreys K, Li J, Ploner A, Cheddad A, Eriksson M, Törnberg S, Hall P, Czene K. (2015) Risk factors and tumor characteristics of interval cancers by mammographic density. Journal of Clinical Oncology, 33(9)2015, pp. 1030-1037. PMID: 25646195.

- Abbas Cheddad, Kamila Czene, Mikael Eriksson, Jingmei Li, Douglas Easton, Per Hall and Keith Humphreys. “Area and volumetric density estimation in processed full-field digital mammograms for risk assessment of breast cancer.” PLoS One, 9 (10)(2014) 1-10.

- Abbas Cheddad, Kamila Czene, John Shepherd, Jingmei Li, Per Hall, Keith Humphreys. “Enhancement of mammographic density measures in breast cancer risk prediction.” Cancer Epidemiology, Biomarkers & Prevention (CEBP), 23(7)(2014) 1314-1323. American Association for Cancer Research. PMID: 24722754. PDF: http://cebp.aacrjournals.org/content/23/7/1314.full.pdf+html

- Anna Eriksson, Christoffer Svensson, Andreas Hornblad, Abbas Cheddad, Elena Kostromina, Maria Eriksson, Nils Norlin, Antonello Pileggi, James Sharpe, Fredrik Georgsson, Tomas Alanentalo and Ulf Ahlgren. “Near Infrared Optical Projection Tomography for Assessments of β-cell Mass Distribution in Diabetes Research.” J. Vis. Exp 2013. (71), e50238. PMID: 23353681.

- Abbas Cheddad, Christoffer Nord, Andreas Hörnblad, Renata Prunskaite-Hyyryläinen, Maria Eriksson, Fredrik Georgsson, Seppo J. Vainio, and Ulf Ahlgren. “Improving signal detection in emission optical projection tomography via single source multi-exposure image fusion.” Optics Express 2013. 21(14)16584-16604. PMID: 23938510.

- Abbas Cheddad, Christoffer Svensson, James Sharpe, Fredrik Georgsson and Ulf Ahlgren. “Image Processing Assisted Algorithms for Optical Projection Tomography.” IEEE Transactions on Medical Imaging, January 2012, 31(1)1-15. PMID: 21768046. It was featured "In the news", TrAC Trends in Analytical Chemistry, Volume 30, Issue 10, Pages v-xi (November 2011) Edited by Janusz Pawliszyn.

- Andreas Hörnblad, Abbas Cheddad and Ulf Ahlgren, “An improved protocol for Optical Projection Tomography imaging Reveals Lobular Heterogeneities in Pancreatic Islet and -Cell Mass Distribution.” Islets, 3(4)(2011) 1-5. PMID: 21633198.

- Pratheepan, Y., Condell, J.V., Curran, K., Cheddad, A., Mc Kevitt, P. “A Dynamic Threshold Approach for Skin Tone Detection in Color Images.” Int. J. Biometrics, 4(1)(2012)38-55. Inderscience.

- Pratheepan, Y., Condell, J.V., Curran, K., Cheddad, A., Mc Kevitt, P., “An Improved Self-Embedding Algorithm: Robust Protection against Lossy Compression Attacks in Digital Image Watermarking.” Image Processing and Communications, 15(1)(2010) 47-59.

- A. Cheddad, J. Condell, K. Curran and P. Mc Kevitt, “A Hash-based Image Encryption Algorithm.” Optics Communications, 283(6)(2010) 879-893. Elsevier Science.

- A. Cheddad, J. Condell, K. Curran and P. Mc Kevitt, “Digital Image Steganography: Survey and Analyses of Current Methods.” Signal Processing 90 (3) (2010) 727-752, Elsevier Science. The most cited article published since 2009 in Signal Processing, Elsevier.

- A. Cheddad, J. Condell, K. Curran and P. Mc Kevitt, “Information hiding-enabled data transmission framework.” International Journal of Information Studies, 1(3)(2009)159-164.

- A. Cheddad, J. Condell, K. Curran and P. Mc Kevitt, “A Skin Tone Detection Algorithm for an Adaptive Approach to Steganography.” Signal Processing 89 (12) (2009) 2465-2478, Elsevier Science.

- A. Cheddad, J. Condell, K. Curran and P. Mc Kevitt. “A Secure and Improved Self-Embedding Algorithm to Combat Digital Document Forgery.” Signal Processing 89 (12) (2009) 2324-2332, Elsevier Science. Special Issue: Visual Information Analysis for Security.

- A. Cheddad, D. Mohamad and A. Abd Manaf. “Exploiting Voronoi Diagram Properties in Face Segmentation and Features Extraction.” Pattern Recognition 41 (12)(2008) 3842-3859, Elsevier Science.



2014 Area and Volumetric Density Estimation in Processed Full-Field Digital Mammograms for Risk Assessment of Breast Cancer
2014 Enhancement of Mammographic Density Measures in Breast Cancer Risk Prediction
2013 Improving signal detection in emission optical projection tomography via single source multiexposure image fusion
2013 Near infrared optical projection tomography for assessments of ß-cell mass distribution in diabetes research.