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Dr. Fatma Taher

Dr. Fatma Taher

Assistant Professor, Department of Electrical and Computer Engineering

PO Box 127788, Abu Dhabi, UAE

T +971 (0)2 501 8576

F +971 (0)2 447 2442

Email: 

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Dr. Fatma Taher is an assistant professor in the Electrical and Computer Engineering Department at Khalifa University of Science, Technology and Research, UAE. Her research interests are in the areas of signal and image processing, medical image analysis, especially in detecting of the cancerous cells, multimedia, watermarking detection, pattern recognition, remote sensing and satellite images. She received her PhD from Khalifa University of Science, Technology and Research, UAE, in 2014. So that she is the first UAE local that graduated with PhD in Engineering inside the UAE, and Khalifa University considered as the first University to grant PhD degrees in computer engineering. Dr. Fatma Taher has published more than 30 papers in international Journals and conferences. She served as a member of the technical program committees of many international conferences such as IEEE ICECS 2013, ICTIST 2011. Dr. Fatma is the vice chair of IEEE Women in engineering Society in UAE as well as the chair of the Education Committee in BCS Society in UAE. Dr. Fatma has received many distinguished awards such as: Prize for the best PhD excellence Award in leadership day for Khalifa University, 12th February 2012.

Best paper award in the BCS International IT Conference Towards 21st Century Innovations, Abu Dhabi, UAE, 31st March-1st April 2013. Best paper award of the first prize in the PhD Forum of the 20th IEEE International Conference on Electronics, Circuits, and Systems (ICECS), PhD Forum, Dec. 8-11, 2013. And recently, she was awarded the UAE Pioneers award as the first UAE to create a computer aided diagnosis system for early lung cancer detection based on the sputum color image analysis, awarded by H.H Sheik Mohammed Bin Rashed Al Maktoum, 15th Nov. 2015. In addition to that she was awarded an innovation award at the 2016 Emirati Women Awards by H. H. Sheik Ahmed Bin Saeed Al-Maktoum. Chairman of Civil Aviation Authority and Patron of Dubai Quality Group.

  • PhD in Computer Engineering, Khalifa University, Abu Dhabi, UAE, 2014
  • M.Sc. in Computer Science, University of Sharjah, Sharjah, UAE, 2007
  • B. Sc. ( honor) in Computer Science, University of Sharjah, Sharjah, UAE, 2001 

  • Programming (C , Pascal , Prolog , Assembly , HTML ,Visual Basic, Visual Studio C++ and open GL, Java and Matlab )
  • Software (MS Office all versions, Visual Basic, Adobe Photoshop, Dream Weaver, Flash, Paint Shop, Visio)
  • Platforms (Dos 6.0, Windows NT 4 (Server / Workstation, Unix (briefly), Windows (98, 2000, XP, Vista)
  • Other Courses ( Database Application, Software Engineering, Computer Network, Network essential, Graphics, formal Language and Automata theory, Object Oriented Programming, Data Structure and Algorithms, Operating Systems, Business Networking and Telecommunications, Compiler Design, Design Analysis of Algorithms, File processing and Data management).
  • Signal and image processing
  • Medical image analysis, especially in detecting of the cancerous cells
  • Multimedia and watermarking detection
  • Data Mining,
  • Pattern recognition
  • Computer vision
  • Artificial intelligence
  • Database system

Google Scholar  Scopus

Journals 

  • R. Sammouda and F. Taher, Comparison of Hopfield Neural Network and Fuzzy Clustering in Segmenting Sputum Color Images for Lung Cancer Diagnosis, Published in the World Science Engineering Academy Society WSEAS Journal, vol. 3, no. 11, pp. 629-637, November, 2006.
  • F. Taher, Naoufel Werghi, Hussain Al-Ahmad and Rachid Sammouda, “Lung Cancer Detection by Using Artificial Neural Network and Fuzzy Clustering Methods”, American Journal of Biomedical Engineering, pp. 136-142, vol. 2, no. 3, June 2012.
  • F. Taher, Naoufel Werghi, Hussain Al-Ahmad, “Automatic Sputum Color Image Segmentation for Lung Cancer Diagnosis”, KSII Transactions on Internet and Information System, pp. 68-80, vol. 7, no. 1, January 2013.
  • F. Taher, Naoufel Werghi, Hussain Al-Ahmad and Christian Donner, “Extraction and Segmentation of sputum cells for Lung cancer Early Diagnosis”, Algorithms Journal of Machine Learning for Medical Imaging, pp. 512-531, vol. 6, August 2013.

Conferences

  • R. Sammouda, F. Taher and M. Sammouda, A Comparison of Segmenting Sputum Color Images for Lung Cancer Diagnosis using Artificial Neural Networks and Fuzzy Clustering, Proceeding on the XIII Congress of International Association for Fuzzy-Set Management and Economy, Tunisia, pp. 629-637, November, 2006.
  • F. Taher and R. Sammouda, Comparison of Hopfield Neural Network and Fuzzy Clustering in Segmenting Sputum Color Images for Lung Cancer Diagnosis, Proceeding in ISSPA, Poster Session, UAE, Sharjah, Feb12-15, 2007.
  • F. Taher and R. Sammouda, Identification of Lung Cancer based on shape and Color, Proceeding of the 4th International Conference on Innovation in Information Technology, pp.481-485, Dubai, UAE, Nov. 2007.
  • F. Taher and R. Sammouda, Diagnosis of Lung Cancer based on Sputum Color Image Analysis, Proceeding in the International Workshop on Single Processing and its Applications WOSPA, pp.232-235, Sharjah, UAE, 18-20 March, 2008.
  • F. Taher and R. Sammouda, Morphology Analysis of Sputum Color Images for Early Lung Cancer Diagnosis, Proceeding of the 10th International Conference on Information Science, Signal Processing and their Applications (ISSPA 2010), pp. 296-299, Kuala Lumpur, Malaysia, May. 2010.
  • F. Taher and R. Sammouda, Lung Cancer Detection based on the Analysis of Sputum Color Images, Proceeding in the International Conference on Image Processing, Computer Vision, & Pattern Recognition (IPCV'10:WORLDCOMP 2010), pp. 168-173, Las Vegas, USA, 12-15 July, 2010.
  • F. Taher and R. Sammouda, Lung Cancer Detection by using Artificial Neural Network and Fuzzy Clustering Methods , Proceeding of the 2011 IEEE GCC Conference and Exhibitions, pp. 295-298, Dubai, U.A.E, 19-22 Feb. 2011.
  • F. Taher, Naoufel Werghi and Hussain Al-Ahmad, “Extraction of Sputum Cells using Thresholding Techniques for Lung Cancer Detection”, proceeding of the 8th International Conference on innovation in Information Technology, pp. 36-41, Al Ain ,UAE, 2012.
  • C. Donner, N. Werghi, F. Taher and H. Al-Ahmad, “Cell Extraction from Sputum Images for Early lung Cancer Detection”, proceeding of the 16th IEEE Mediterranean Electrotechnical Conference, pp. 485-488, Tunisia , 2012.
  • N. Werghi, C. Donner, F. Taher and H. Al Ahmad, “Segmentation of Sputum Cell Image for Early Lung Cancer Detection”, proceeding of the IET Conference on Image Processing (IPR 2012), pp. 1-6, July 3-4, London, UK, 2012.
  • F. Taher, Naoufel Werghi and Hussain Al-Ahmad, “A Thresholding Approach for Detection of Sputum Cell for Lung Cancer early Diagnosis”, proceeding of the IET Conference on Image Processing (IPR 2012), pp. 1-6, July 3-4, London, UK, 2012.
  • F. Taher, Naoufel Werghi and Hussain Al-Ahmad, “Sputum Image Detection and Extraction for Lung Cancer Early Diagnosis”, proceeding of the 11th International Conference on Information Science, signal processing and their application (ISSPA), pp. 887-892, Montreal, Canada, 3-5, July, 2012.
  • N. Werghi, C. Donner, F. Taher and H. Al Ahmad, “Detection and Segmentation of Sputum Cell for Early Lung Cancer Detection”, proceeding of the IEEE International Conference on Image Processing (ICIP), pp. 2813-2816, Florida, USA, 30 Sept- 3rd Oct, 2012.
  • F. Taher, Naoufel Werghi and Hussain Al-Ahmad, “Bayesian Classification and Artificial Neural Network Methods for Lung Cancer Early Diagnosis”, proceeding of the 19th IEEE International Conference on Electronics, Circuits, and Systems (ICECS), pp. 773-776, Seville, Spain, Dec. 9-12, 2012.
  • F. Taher, Naoufel Werghi and Hussain Al-Ahmad, “Early Lung Cancer Detection by using a Histogram Technique Based on Bayesian Classification”, proceeding of the BCS International IT Conference Towards 21st Century Innovations, Abu Dhabi, pp. 33-36, UAE, 31st March-1st April 2013.
  • F. Taher, Naoufel Werghi and Hussain Al-Ahmad, “Segmentation of sputum color image for lung cancer diagnosis based on mean shift algorithm,” proceeding of the IEEE AFRICON 2013, pp. 1-6, Mauritius, Sep. 9-12, 2013.
  • F. Taher, Naoufel Werghi and Hussain Al-Ahmad, "Comparison of Hopfield Neural Network and Mean Shift algorithm in Segmenting Sputum Color Images for Lung Cancer Diagnosis", proceeding of the 20th IEEE International Conference on Electronics,
  • Circuits, and Systems (ICECS), pp. 649-652, Abu Dhabi, UAE, Dec. 8-11, 2013.
  • S. Makhmasi, F. Taher, Hussain Al-Ahmad and T. McGloughlin, "A Novel Multiple Watermarking Algorithm for Patient Identification and Integrity Control", proceeding of the 17th UKSIM-AMSS International Conference on Modelling and Simulation, pp. 310-315, Cambridge, UK, March. 25-27, 2015.
  • M. Darweesh, M. Al Zubaidi, A. Kunhu, H. Al-Ahmad and F. Taher, “Colorization of Gray Scale Natural Still Images by Using ANN to Predict the Low Frequency DCT Components of the RGB Channels”, proceeding of the IEEE International Conference on Information and Communication Technology Research, pp. 303-306, Abu Dhabi, UAE, May. 17-19, 2013.

Book Chapter

  • F. Taher and R. Sammouda. “Artificial Neural Network and Fuzzy Clustering Methods in Segmenting Sputum Color Images for lung Cancer Diagnosis” in Image and Signal Processing, 1st ed., vol. 6134, Springer-Verlag Berlin Heidelberg, 2010, pp. 513-520.