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College of Electrical & Mechanical Engineering  (CEME)
Dr. Farhan Riaz
Assistant Professor
Department of Computer & Software Engineering

CE&ME
National University of Sciences and Technology (NUST)
Peshawar Road Rawalpindi
Tel :  
Email :  

Specialization
Digital Image Processing

Education
Ph.D. (Computer Engineering), Portugal

​Current area of research is computer-assisted diagnosis for gastroenterology. Gastrointestinal (GI) cancer is considered as one of the deadliest form of cancer. Endoscopy of GI tract is a diagnostic procedure which is used to view the digestive tract and identify any suspicious regions which could evolve to cancer. The objective is to identify those regions automatically and provide a fast, accurate, consistent system for diagnosis.

​Journal Papers

  1. S. W. Akhtar et al., "Improving the Robustness of Neural Networks Using K-Support Norm Based Adversarial Training," in IEEE Access, vol. 4, no. , pp. 9501-9511, 2016. doi: 10.1109/ACCESS.2016.2643678​

  2. S. Akram, M. Y. Javed, A. Hussain, F. Riaz, M. U. Akram, "Intensity Based Statistical Features for Classification of Lungs CT Scan Nodules Using Artificial Intelligence", Taylor and Francis Journal of Experimental and Theoretical Artificial Intelligence, Oct. 2014.

  3. M. Dinis-Ribeiro, F. Riaz, M. Coimbra, "Computer-assisted analysis of gastric magnification chromoendoscopy images: feasibility and potential applications", Endoscopy, vol. 41(1), pp. A511, 2009.

  4. F. Riaz, F. B. Silva, M. Dinis-Ribeiro, M. Coimbra, "Invariant Gabor Texture Descriptors for Classification of Gastroenterology Images", IEEE trans. Biomedical Engineering, vol. 59(10), pp. 2893-2904, Oct. 2012.

  5. F. Riaz, F. B. Silva, M. Dinis-Ribeiro, M. Coimbra, "Impact of Visual Features on the Segmentation of Gastroenterology Images Using Normalized Cuts", IEEE trans. Biomedical Engineering, vol. 60(5), pp. 1191-1201, May. 2013.

  6. F. Riaz, A. Hassan, S. Rehman, U. Qamar, "Texture Classification Using Rotation- and Scale-Invariant Gabor Texture Features", IEEE Signal Processing Letters, vol. 20(6), pp. 607-610, Jun. 2013.

  7. A. Hassan, F. Riaz, S. Rehman, "Rotation and scale invariant texture classification by compensating for distribution changes using covariate shift in uniform local binary patterns", IET Electronics Letters, vol. 50(1), pp. 27-29, Jan. 2014.

  8. A. Hassan, F. Riaz, A. Shaukat, "Scale and Rotation Invariant Texture Classification Using Covariate Shift Methodology", IEEE Signal Processing Letters, vol. 21(3), pp. 321-324, Mar. 2014.

Conference Papers

  1. F. Riaz, A. Hassan, J. Zeb, "Distance Regularized Curve Evolution: A Formulation Using Creasness Features for Dermoscopic Image Segmentation", 12th IEEE International Conference on Signal Processing, Hang Zhou, China, Oct 2014.

  2. H. Akhtar, M. Junaid, A. Hassan, F. Riaz, F. Hassan, I. Niazi, M. Jochumsen and K. Dremstrup, "Use of Empirical Mode Decomposition for Classification of MRCP based Task Parameters", 15th IEEE International Conference on Intelligent Data Engineering and Automated Learning, Salamanca, Spain, Sep 2014.

  3. M. Ahsan, A. Shaukat, A. Hassan, F. Riaz, "Daily Sound Recognition for Elderly People using Ensemble Methods", 11th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD), Xiamen, China, Aug 2014.

  4. F. Riaz, A. Hassan, S. Rehman, I. Niazi, M. Jochumsen and K. Dremstrup, "Processing Movement Related Cortical Potentials in EEG Signals for Identification of Slow and Fast Movements", 36th IEEE International Engineering in Medicine and Biology Society Conference (EMBC), Chicago, USA, Aug 2014.

  5. F. Riaz, A. Hassan, M. Y. Javed and M. Coimbra, "Detecting Melanoma in Dermoscopy Images Using Scale Adaptive Local Binary Patterns", 36th IEEE International Engineering in Medicine and Biology Society Conference (EMBC), Chicago, USA, Aug 2014.

  6. A. Hassan, I. Niazi, M. Jochumsen, F. Riaz, K. Dremstrup, "Classification of Kinetics of Movements for Lower Limb Using Covariate Shift Method for Brain Computer Interface", accepted in 39th International Conference on Acoustics, Speech and Signal Processing (ICASSP), Florence, Italy, May 2014.

  7. F. Riaz, M. Dinis-Ribeiro, P. Nunes, M. Coimbra, "Integral scale histogram local binary patterns for classification of narrow-band gastroenterology images," 35th IEEE International Engineering in Medicine and Biology Society Conference (EMBC), Osaka, Japan, July 2013.

  8. F. Riaz, M. Dinis-Ribeiro, P. Nunes, M. Coimbra, "Segmentation of gastroenterology images: A comparison between clustering and fitting models approaches," IEEE 26th International Symposium on Computer-Based Medical Systems (CBMS), Porto, Portugal, June 2013.

  9. F. Riaz, M. Dinis-Ribeiro, P. Nunes, M. Coimbra, "A DFT based rotation and scale invariant Gabor texture descriptor and its application to gastroenterology," 20th IEEE International Conference on Image Processing (ICIP), Melbourne, Australia, Sept. 2013.

  10. F. Riaz, M. Areia, F. Vilarino, M. Dinis-Ribeiro, M. Coimbra,"Identifying potentially cancerous tissues in Chromoendoscopy images", in Proc. Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA), Gran Canaria, Spain, Jun 2011.

  11. F. Riaz, M. Areia, F. Baladaque, P. Nunes, M. Dinis-Ribeiro, M. Coimbra, "Gabor Textons for Classification of Gastroenterology Images", in Proc. IEEE International Symposium on Biomedical Imaging (ISBI), Chicago, USA, Apr 2011.

  12. M. Coimbra, F. Riaz, M. Areia, F. Baladaque, M. Dinis-Ribeiro, "Segmentation for Classification of Gastroenterology Images", accepted for publication in IEEE EMBC, Buenos Aires, Argentina, Sep 2010.

  13. M. Dinis-Ribeiro, F. Riaz, M. Coimbra, "Computer-assisted analysis of gastric magnification chromoendoscopy images: feasibility and potential applications", (abstract) in World Congress of Gastroenterology, London, UK, Nov 2009.

  14. F. Riaz, M. Dinis-Ribeiro, M. Coimbra, "Quantitative Comparison of Segmentation Methods for In-Body Images", in Proc. of IEEE EMBC 2009, Minneapolis, USA, Sep 2009.

  15. F. Riaz, A. Sousa, P. Pimentel-Nunes, M. Areia, M. Coimbra, M. Dinis-Ribeiro, "Analise assistida por computador de imagens de cromendoscopia gastrica: praticabilidade e aplicabilidade", (abstract) in 29th National Meeting in GastroEnterology, Porto, Portugal, 2009.

  16. F. Riaz, M. Dinis-Ribeiro, M. Coimbra,"A Review of Current Computer Aided Diagnosis Systems for Polyp Detection in Virtual Colonoscopy",7th Conference on Telecommunications, Santa Maria da Feira, Portugal, May 2009.

  17. F. Riaz, M. Dinis-Ribeiro, M. Coimbra, "Semantic relevance of current image segmentation algorithms", in Proc. of IEEE WIAMIS 2009, London, UK, May 2009.

  18. I. Aad, P. Hofmann, L. Loyola, F. Riaz, J. Widmer, "EMAC: Self organizing 802.11 compatible MSC with elastic Real-time scheduling", in Proc. of MASS 2007, Italy.

  19. F. Riaz, W. Baig, A. Munawar, A. M. Awan, "Reconstruction of 3D coordinates from a projected pattern of lines on human face", in Proc. of INMIC 2004, Lahore, Pakistan.

  20. A. Munawar, A. M. Awan, F. Riaz, S. A. Khan, "Working MANET of location aware nodes and work to monitor nodes in an interactive manner", in Proc. of IWWAN 2004, Oulu, Finland.

Other Publications

  1. F. Riaz, M. Dinis-Ribeiro, M. Coimbra, "CAGE - Computer Assisted Gastroenterology Examinations", Interactive Multimedia Group Symposium (IMAG), Porto, 2011.

  2. F. Riaz, "Computer Assisted Diagnosis for Gastroenterology", MAP-i work in progress doctoral symposium, Porto, 2011.

  3. F. Riaz, M. Dinis-Ribeiro, M. Coimbra, "Computer Assisted Decision Systems for Gastroenterology Images", in Proc. of RECPAD 2010, Vila Real, Portugal, Oct 2010.

  4. F. Riaz, "Fixed block subspace analysis of motion vectors in video sequences", Department of Data Processing, Technical University of Munich, Germany, 2007.

  5. F. Riaz, "Location aware wireless ad-hoc network integrated with personal area network", Department of Computer Engineering, National University of Sciences and Technology, Pakistan, 2004.

Invited Presentations

  1. ​June 2010 - "Segmentation of Gastroenterology Images", Master in Medical Informatics, University of Porto, Portugal, 2009.