.::. Big Data Analytics for Image Processing .::.

  • Image Classification
  • Image Restoration
  • Pattern Recognition
  • Applied Machine Learning

About

At Blekinge Institute of Technology (BTH), I am participating, research-wise, in a large research project, "Scalable resource-efficient systems for big data analytics," where close research collaboration with industry 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. The value of the new knowledge is demonstrated and evaluated in two application areas (decision support systems and image processing).

Dr. Abbas Cheddad


Assoc.Prof (Group Leader)



Group Members (alumni):


  • Dr. Huseyin Kusetogullari


    Lecturer

    Received his PhD degree from the University of Warwick, UK, in 2012.

  • Florian Westphal


    PhD student

    Received his B.Sc. and M.Sc. from the University of Potsdam, Germany, in 2011. Now Assist. Prof at Jönköping University.

  • Siva Krishna Dasari


    PhD student

    Defended Oct 2021. Now working at GKN Aerospace Sweden AB.

  • Stefan Petersson


    Lecturer (Universitetsadjunkt)

    Now with AMD (Advanced Micro Devices).


View my other profiles »

Senaste publikationer

  1. Hahn, M., Nord, C., van Krieken. P. P., Berggren, P., Ilegems, E., Cheddad, A. & Ahlgren, U. "Quantitative 3D OPT and LSFM datasets of pancreata from mice with streptozotocin induced diabetes;" Nature - Scientific Data, 9, 558 (2022) Springer. https://doi.org/10.1038/s41597-022-01546-5.
  2. S.K. Dasari, A. Cheddad, J. Palmquist, L. Lundberg. "Clustering-based Adaptive Data Augmentation for Class-imbalance in Machine Learning (CADA): Additive Manufacturing Use-case;" Accepted in Neural Computing & Applications, Springer, 2022.
  3. Wagenpfeil S, Mc Kevitt P, Cheddad A, Hemmje M. "Explainable Multimedia Feature Fusion for Medical Applications;" Journal of Imaging (Special Issue Intelligent Strategies for Medical Image Analysis). 2022; 8(4):104. https://www.mdpi.com/2313-433X/8/4/104.
  4. H. Benhamza, A. Djeffal and A. Cheddad, "Image forgery detection review," 2021 International Conference on Information Systems and Advanced Technologies (ICISAT), 2021, pp. 1-7, IEEE, doi: 10.1109/ICISAT54145.2021.9678207. https://ieeexplore.ieee.org/abstract/document/9678207.
  5. A. Duttenhöfer, S. Wagenpfeil, C. Nawroth, A. Cheddad, P. McKevitt, and M. Hemmje, “Supporting Argument Strength by Integrating Semantic Multimedia Feature Detection with Emerging Argument Extraction,” 3rd Workshop on Argument Strength (ArgStrength'21), Oct 11-13, 2021.
  6. S.K. Dasari, A. Cheddad, L. Lundberg, J. Palmquist. "Active Learning to Support In-situ Process Monitoring in Additive Manufacturing." In Proc. (Accepted) 20th IEEE International Conference on Machine Learning and Applications (IEEE-ICMLA 21) DECEMBER 13-16, 2021.
  7. Abbas Cheddad, Hüseyin Kusetogullari, Agrin Hilmkil, Lena Sundin, Amir Yavariabdi, Mustapha Aouache, Johan Hall; "SHIBR-The Swedish Historical Birth Records: A Semi-Annotated Dataset," Neural Computing & Applications 33, 15863–15875 (2021), Springer. https://doi.org/10.1007/s00521-021-06207-z
  8. Zhao, M.; Hochuli, A.G.; Cheddad, A.; "End-to-End Approach for Recognition of Historical Digit Strings," In Proc. the 16th International Conference on Document Analysis and Recognition (ICDAR'21), Sept. 2021, LNCS, volume 12823, pp. 595-609, Springer, Lausanne, Switzerland. https://doi.org/10.1007/978-3-030-86334-0_39
  9. Bustamante-Arias, A.; Cheddad, A.; Jimenez-Perez, J.C.; Rodriguez-Garcia, A. "Digital Image Processing and Development of Machine Learning Models for the Discrimination of Corneal Pathology: An Experimental Model," Photonics 2021, 8, 118. https://doi.org/10.3390/photonics8040118
  10. Ahmad Chaddad, Michael J Kucharczyk, Abbas Cheddad, Sharon E Clarke, Lama Hassan, Shuxue Ding, Saima Rathore, Mingli Zhang, Yousef Katib, Boris Bahoric, Gad Abikhzer, Stephan Probst, Tamim Niazi. "Magnetic Resonance Imaging based Radiomic Models of Prostate Cancer: A narrative review," Cancers, vol 13(3) Feb. 2021.
  11. Xusheng Liang, Abbas Cheddad, Johan Hall, "Comparative Study of Layout Analysis of Tabulated Historical Documents," Big Data Research, vol 24, 100195, 15 May 2021, Elsevier.
  12. C.D. Lekamlage, F. Afzal, E. Westerberg and A. Cheddad, "Mini-DDSM: Mammography-based Automatic Age Estimation," 3rd International Conference on Digital Medicine and Image Processing (DMIP 2020), Kyoto, Japan, November 06-09, 2020.
  13. A. Cheddad, "On Box-Cox Transformation for Image Normality and Pattern Classification," IEEE Access, vol. 8, pp. 154975-154983, 2020, IEEE. DOI: 10.1109/ACCESS.2020.3018874.
  14. Siva Krishna Dasari, Abbas Cheddad, Jonatan Palmquist, "Melt-pool Defects Classification for Additive Manufactured Components in Aerospace Use-case," 7th Intl. Conference on Soft Computing & Machine Intelligence (ISCMI 2020), IEEE, Stockholm, Sweden November 14-15, 2020.
  15. A. Cheddad, "Machine Learning in Healthcare: Breast Cancer and Diabetes Cases," In: Reis T., Bornschlegl M.X., Angelini M., Hemmje M.L. (eds) Advanced Visual Interfaces. Supporting Artificial Intelligence and Big Data Applications. AVI-BDA 2020, ITAVIS 2020. Lecture Notes in Computer Science (LNCS), vol 12585, pp. 125-135, 2021. Springer, Cham. https://doi.org/10.1007/978-3-030-68007-7_8.
  16. A.A. Bustamante, A. Cheddad and A. Rodriguez-Garcia, "Digital Image Processing and Development of Machine Learning Models for the Discrimination of Corneal Pathology: An Experimental Model," In the American Academy of Ophthalmology's annual meeting (AAO 2019), San Francisco Oct 12-15. Acceptance rate (6%). https://www.aao.org/annual-meeting.
  17. S. K. Dasari, A. Cheddad, P. Andersson, "Predictive Modelling to Support Sensitivity Analysis for Robust Design in Aerospace Engineering." Structural and Multidisciplinary Optimization, 61 (5) 2177-2192, 2020, Springer.
  18. Wu Qian and Abbas Cheddad,"Segmentation-based Deep Learning Fundus Image Analysis,"In the 9th International Conference on Image Processing Theory, Tools and Applications IPTA 2019. Nov 6-9, 2019, Istanbul, Turkey. http://www.ipta-conference.com/ipta19/
  19. Huseyin Kusetogullari, Amir Yavariabdi, Abbas Cheddad, Håkan Grahn and Johan Hall, "ARDIS: A Swedish Historical Handwritten Digit Dataset," Neural Computing and Applications, (32)16505-16518, 2020, Springer.
  20. Siva Krishna Dasari, Abbas Cheddad and Petter Andersson, (2019) "Random Forest Surrogate Models to Support Design Space Exploration in Aerospace Use-case," 15th International Conference on Artificial Intelligence Applications and Innovations (AIAI'19). 24-26 May 2019, Crete, Greece. Springer IFIP AICT (LNCS) Series.
  21. Rafik Bouhennache, Toufik Bouden, Abdmalik Taleb-Ahmed and Abbas Cheddad, (2018). "A new spectral index for the extraction of built-up land features from Landsat 8 satellite imagery," Geocarto International, Taylor & Francis. https://doi.org/10.1080/10106049.2018.1497094.
  22. Ola Spjuth, Andreas Karlsson, Mark Clements, Keith Humphreys, Emma Ivansson, Jim Dowling, Martin Eklund, Alexandra Jauhiainen, Kamila Czene, Henrik Gronberg, Par Sparen, Fredrik Wiklund, Abbas Cheddad, porgerour Palsdottir, Mattias Rantalainen, Linda Abrahamsson, Erwin Laure, Jan-Eric Litton, and Juni Palmgren. "E-Science technologies in a workflow for personalized medicine using cancer screening as a case study," Journal of the American Medical Informatics Association, 24(5): 950-957, 2017. doi: 10.1093/jamia/ocx038. Oxford University Press. PMID: 28444384. Impact Factor: 3.428.
  23. Cheddad A. "Structure Preserving Binary Image Morphing using Delaunay Triangulation," Pattern Recognition Letters, (2017) 85, pp. 8-14. Elsevier. An official publication of the International Association for Pattern Recognition.
  24. Abbas Cheddad, Huseyin Kusetogullari and Hakan Grahn, (2017). "Object Recognition using Shape Growth Pattern," 10th International Symposium on Image and Signal Processing and Analysis (ISPA 2017). 18-20th September 2017, pp.47-52, Ljubljana, Slovenia.
  25. V. M Devagiri and A. Cheddad. "Splicing Forgery Detection and the Impact of Image Resolution," 5th International Workshop on Systems Safety and Security (IWSSS 2017). Targoviste, Romania, 29-30 June 2017.
  26. Cheddad, A. "Towards Query by Text Example for Pattern Spotting in Historical Documents," 7th International Conference on Computer Science and Information Technology (CSIT 16), July 13-14, 2016, IEEE Computer Society.