Abbas Cheddad
Bio:
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
Available Lectures
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Digital Image Forensics
With the development of information technology and the availability of image acquisition and editingtools, the use of these devices has become within a reach to everyone....
- Image Processing in Data Science: Current prospects and future challenges
This lecture delves into the discipline of digital image processing (DIP). It highlights several applications of DIP in the contemporary world. The applications range from handwritten string...- Medical Image Analysis: a computational approach in diabetes research
Medical imaging is a scientific field that applies digital image processing and analysis to medical scanned images in order to address a specific medical issue. It is a multidisciplinary area that...To request a tour with this speaker, please complete this online form.
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- Image Processing in Data Science: Current prospects and future challenges