Dr.  Abbas Cheddad

My research interests fall into the following topics: Computer vision, 3D reconstruction and Optical projection tomography, Steganography, Medical image analysis, Quantitative imaging bio-markers, Pattern localisation and recognition, Characterization and validation of imaging bio-markers, Evaluation of the association between image-based phenotypes and genomic biomarkers, Algorithms for the computer-guided analysis of multi-dimensional microscopy-data sets, Computational support for tissue- related target/ biomarker discovery, development and analysis, and machine learning applications. At Blekinge Institute of Technology (BTH), I hold a permanent position at the level of Associate Professor in computer science. Research wise, I am participating in a large research project, “Scalable resource-efficient systems for bigdata analytics,” where close research collaboration with industry (SONY Mobile, ArkivDigital AB, GKN Aerospace Sweden AB, etc.) is key for the project execution. More specifically, I am leading research theme B: Big data analytics for image processing. The research profile, combines existing expertise in machine learning, data mining, and computer engineering to create new knowledge in the area of scalable resource-efficient systems for big data analytics. Prior to this, I held research positions at Karolinska Institute (worked on risk prediction of breast cancer for 4 years), and at Umeå Centre for Molecular Medicine, Umeå University (worked on diabetic research for 2 years). I am a senior member of the Institute of Electrical and Electronics Engineers (IEEE). My publications comprise, 2 granted patents, 1 invited book chapters, 1 Book, 24 peer reviewed journal papers, and 32 conference papers. Some of the award that I obtain are:

• Best paper award at the 8th International Conference on Information Technology and Telecommunication (2008), awarded by IET (The Institution of Engineering and Technology). Galway, GMIT, Ireland on 24-October-2008

• Best paper award at the 8th International Conference on Information Technology and Telecommunication (2008), awarded by IET (The Institution of Engineering and Technology). Galway, GMIT, Ireland on 24-October-2008

• 25K Award for New Entrepreneurs (best project in the high-tech category)

• Best PhD thesis award of the Faculty of Computing and Engineering (2009).  The award was in the form of a trophy and £300.

[ More info about me and my research: http://www.abbascheddad.net/ ] 

 

B) ACM involvement

- PC member: IAPR/ACM MEDPRAI 2016- the 1st Mediterranean Conference on Pattern Recognition and Artificial Intelligence.

- PC member: IAPR/ACM MEDPRAI 2018- the 2nd edition-

- PC member: IAPR/ACM MEDPRAI 2020- the 4th edition-

 

Invited Keynote Speaker:

 

IAPR/ACM: Invited Keynote speaker (23-23 November 2016): Invited as a keynote speaker at the Mediterranean Conference on Pattern Recognition and Artificial Intelligence. Lecture title: “Recent Trends in Image Processing from Medical Diagnosis to Document Analysis: Applications and Challenges.”

 

IAPR/ICPS-ACM: Invited Keynote speaker (26-28 June 2020): Invited as a keynote speaker at the International Conference on Intelligent Systems and Pattern Recognition. URL: https://ispr2020.sciencesconf.org/resource/page/id/4

 

Selected Publications in the ACM Digital library: Average Citation Per Article 15 / Citation Count 180 Publication / Counts 12