013-849-4303
amirza@pmu.edu.sa
F-014
PhD, Imperial College of Science, Technology & Medicine, University of London, United Kingdom
DIC, Imperial College of Science, Technology & Medicine, University of London, United Kingdom
MSc, Quaid-i-Azam University, Islamabad, Pakistan
Selected Journal Publications
M Fatima, M Attique Khan, Anwar M. Mirza, J Shin, A Alasiry, M Marzoughi, J Cha, and B Chang. 2025a. “An adaptivedeep learning approach based on InBNFus and CNNDen-GRU networks for breast cancer and maternal fetal classification using ultrasound images”. Nature - Scientific Reports 15.1. Impact Factor 3.9, p. 22027.
M Attique Khan, U Shafiq, A Hamza, Anwar M. Mirza, J Baili, D.a. Alhammadi, H. C. Cho, and B. Chang. 2025b. “A novel network-level fused deep learning architecture with shallow neural network classifier for gastrointestinal cancer classification from wireless capsule endoscopy images”. BMC Medical Informatics and Decision Making 25.150. Impact Factor 3.8, pp. 1–19.
Muhammad Furqan Rafique, Muhammad Ali, Aqsa Saeed Qureshi, Asifullah Khan, and Anwar M. Mirza. 2019. “Malware Classification Using Deep Learning Based Feature Extraction And Wrapper Based Feature Selection Technique”. arXivpreprint arXiv:1910.10958.
Syed Gibran Javed, Abdul Majid, Anwar M. Mirza, and Asifullah Khan. 2016. “Multi-Denoising Based Impulse Noise RemovalFrom Images Using Robust Statistical Features And Genetic Programming”. Multimedia Tools and Applications 75.10. ImpactFactor 3.6, pp. 5887–5916. doi: https://doi.org/ 10.1007/s11042-015-2554-0.
Tayyaba Azim, M Arfan Jaffar, and Anwar M. Mirza. 2014a. “Fully Automated Real Time Fatigue Detection Of DriversThrough Fuzzy Expert Systems”. Applied Soft Computing 18. Impact Factor 8.7, pp. 25–38.
Mohsin Bilal, Ayyaz Hussain, Muhammad Arfan Jaffar, Tae-Sun Choi, and Anwar M. Mirza. 2014b. “Estimation And Optimization Based Ill-Posed Inverse Restoration Using Fuzzy Logic”. Multimedia tools and applications 69.3. Impact Factor 3.6,pp. 1067–1087.
Sajid Ali Khan, Ayyaz Hussain, Muhammad Usman, Muhammad Nazir, Naveed Riaz, and Anwar M. Mirza. 2014c. “RobustFace Recognition Using Computationally Efficient Features”. Journal of Intelligent & Fuzzy Systems 27.6. Impact Factor 2.0, pp.3131–3143.
Sultan Zia, Arfan Jaffar, Anwar M. Mirza, and T.S. Choi. 2014d. “Estimation Rician noise removal from MR images usingnovel adapted selective non-local filter”. Multimedia Tools and Applications 72.1. Impact Factor 3.6, pp. 1–19.
Sultan Zia, M Arfan Jaffar, Anwar M. Mirza, and Tae-Sun Choi. 2014e. “Rician Noise Removal From MR Images Using NovelAdapted Selective Non-Local Means Filter”. Multimedia tools and applications 72.1. Impact Factor 3.6, pp. 1–19.
Asmatullah Chaudhry, Asifullah Khan, Anwar M. Mirza, Asad Ali, Mehdi Hassan, and Jin Young Kim. 2013c. “Neuro FuzzyAnd Punctual Kriging Based Filter For Image Restoration”. Applied Soft Computing 13.2. Impact Factor 8.7, pp. 817–832.
Muhammad Hussain, Ihsan Ullah, Hatim A Aboalsamh, Ghulam Muhammad, George Bebis, and Anwar M. Mirza. 2013h.“Gender Recognition From Face Images With Dyadic Wavelet Transform And Local Binary Pattern”. International Journal onArtificial Intelligence Tools 22.06. Impact Factor 1.059, p. 1360018.
Zunera Jalil and Anwar M. Mirza. 2013i. “A Robust Zero-Watermarking Algorithm For Copyright Protection Of TextDocuments”. Journal of the Chinese Institute of Engineers 36.2. Impact Factor 2.3, pp. 180–189.
Sohail Masood, Ayyaz Hussain, M Arfan Jaffar, Anwar M. Mirza, and Tae-Sun Choi. 2013j. “Machine Learning And DirectionalSwitching Median-Based Filter For Highly Corrupted Images”. Knowledge and information systems 36.3. Impact Factor 3.3, pp.557–577.
Shicai Yang, George Bebis, Muhammad Hussain, Ghulam Muhammad, and Anwar M. Mirza. 2013n. “Unsupervised DiscoveryOf Visual Face Categories”. International Journal on Artificial Intelligence Tools 22.01. Impact Factor 1.059, p. 1250029.
Shicay Yang, George Bebis, Muhammad Hussain, Ghulam Muhammad, and Anwar M. Mirza. 2013o. “Unsupervised Discovery of Visual Face Categories”. International Journal on Artificial Intelligence Tools 22.1. Impact Factor 1.059, p. 1250029.
M Arfan Jaffar, Sultan Zia, Ghaznafar Latif, Anwar M. Mirza, Irfan Mehmood, Naveed Ejaz, and Sung Wook Baik. 2012b.“Anisotropic Diffusion Based Brain MRI Segmentation And 3D Reconstruction”. International Journal of ComputationalIntelligence Systems 5.3. Impact Factor 2.9, pp. 494–504.
Zahoor Jan and Anwar M. Mirza. 2012d. “Genetic Programming-Based Perceptual Shaping Of A Digital Watermark In TheWavelet Domain Using Morton Scanning”. Journal of the Chinese Institute of Engineers 35.1. Impact Factor 2.3, pp. 85–99.
Ghulam Muhammad, Muhammad Hussain, Fatmah Alenezy, George Bebis, Anwar M. Mirza, and Hatim Aboalsamh. 2012f. “Race Classification From Face Images Using Local Descriptors”. International Journal on Artificial Intelligence Tools 21.05.Impact Factor 1.059, p. 1250019.
Muhammad Nazir and Anwar M. Mirza. 2012i. “Genetic Multi-View Gender Classification Using Hybrid TransformedFeatures”. Multimedia Tools and Applications 7.2. Impact Factor 3.6, pp. 85–99.
Muhammad Nazir and Anwar M. Mirza. 2012j. “Multi-View Gender Classification Using Hybrid Trans- formed”. InternationalJournal of Multimedia and Ubiquitous Engineering 7.2.
Abdul Basit Siddiqui, Muhammad Rashid, M Arfan Jaffar, Ayyaz Hussain, and Anwar M. Mirza. 2012k. “A Multi-Focus ImageFusion Classifier”. International Information Institute (Tokyo). Information 15.4, p. 1757.
M Arfan Jaffar, Amjad Iqbal, Ayyaz Hussain, Rauf Baig, and Anwar M. Mirza. 2011b. “Genetic Fuzzy Based Automatic LungsSegmentation From CT Scans Images”. Int J Innov Comput Inf Control 7.4, pp. 1875–1890.
Zunera Jalil, M Arfan Jaffar, and Anwar M. Mirza. 2011d. “A Novel Text Watermarking Algorithm Using Image Watermark”. International Journal of Innovative Computing, Information and Control 7.3. Impact Factor 1.431, pp. 1255–1271.
Muhammad A Khan and Anwar M. Mirza. 2011e. “A Subspace Ensemble Based Data Dependent Binary Classification Model”. International Journal of Physical Sciences 6.33. Impact Factor 0.3, pp. 7540–7549.
Muhammad A Khan and Anwar M. Mirza. 2011f. “Analysis Of Classification Model And Feature Subset Selection”. INFORMATION-AN INTERNATIONAL INTERDISCIPLINARY JOURNAL 14.10, pp. 3325– 3334.
Sohail Masood, Ayyaz Hussain, M Arfan Jaffar, Anwar M. Mirza, and Tae-Sun Choi. 2011g. “Fuzzy Random Impulse Noise Reduction Technique Based On Statistical Estimators”. International Journal of Innovative Computing, Information and Control7.6. Impact Factor 1.431, pp. 3395–3406.
Muhammad Nazir, Arfan Jaffar, Ayyaz Hussain, and Anwar M. Mirza. 2011h. “Efficient Gender Clas- sification UsingOptimization of Hybrid Classifiers Using Genetic Algorithms”. International Journal of Innovative Computing, Information andControl 7.12. Impact Factor 1.431, p. 7021.
Muhammad Nazir, M Arfan Jaffar, Ayaz Hussain, and Anwar M. Mirza. 2011i. “Efficient Gender Clas- sification UsingOptimization Of Hybrid Classifiers Using Genetic Algorithm”. International Journal of Innovative Computing, Information andControl 7. Impact Factor 1.431, pp. 7021–7032.
Abdul Basit Siddiqui, M Arfan Jaffar, Ayyaz Hussain, and Anwar M. Mirza. 2011j. “Block-Based Pixel Level Multi-FocusImage Fusion Using Particle Swarm Optimization”. Int J Innov Comput Inf Control 7.7. Impact Factor 1.431, pp. 3583–3596.
Abdul Basit Siddiqui, Muhammad Rashid, M Arfan Jaffar, Ayyaz Hussain, and Anwar M. Mirza. 2011k. “Feature ClassificationFor Multi-Focus Image Fusion”. International Journal of Physical Sciences 6.20. Impact Factor 0.3, pp. 4838–4847.
Tayyaba Azim, Arfan Jaffar, and Anwar M. Mirza. 2010b. “Automatic Fatigue Detection of Drivers Through Real Time EyeTracking”. ICIC Express Letters 4.2, pp. 341–346.
Tayyaba Azim, Arfan Jaffar, and Anwar M. Mirza. 2010c. “Real Time Fatigue Detection of Drivers Through Eye ClosureDuration and Yawning Analysis”. ICIC Express Letters 4.3, pp. 725–731.
Ayyaz Hussain, M Arfan Jaffar, and Anwar M. Mirza. 2010e. “A Hybrid Image Restoration Approach: Fuzzy Logic AndDirectional Weighted Median Based Uniform Impulse Noise Removal”. Knowledge and Information Systems 24.1. Impact Factor3.3, pp. 77–90.
Ayyaz Hussain, M Arfan Jaffar, and Anwar M. Mirza. 2010f. “Random-Valued Impulse Noise Removal Using Fuzzy Logic”. International Journal of Innovative Computing, Information and Control 6.10. Impact Factor 1.431, pp. 4273–4288.
Ayyaz Hussain, M Arfan Jaffar, Zia Ul-Qayyum, and Anwar M. Mirza. 2010g. “Directional Weighted Median Based FuzzyFilter For Random-Valued Impulse Noise Removal”. Icic International C2010 Issn, pp. 2185–2766.
Shaukat Iqbal, Anwar M. Mirza, and Ikram A. Tirmizi. 2010h. “Galerkin’s Finite Element Formulation Of The Second-OrderBoundary-Value Problems”. International Journal of Computer Mathematics 87.9. Impact Factor 1.8, pp. 2032–2042.
M Arfan Jaffar, Ayyaz Hussain, and Anwar M. Mirza. 2010j. “Fuzzy Entropy Based Optimization Of Clusters For TheSegmentation Of Lungs In CT Scanned Images”. Knowledge and Information Systems 24.1. Impact Factor 3.3, pp. 91–111.
M Arfan Jaffar, Muhammad Ishtiaq, Bilal Ahmed, Nawazish Naveed, Ayyaz Hussain, and Anwar M. Mirza. 2010k. “FuzzyWavelet-Based Color Image Segmentation Using Self-Organizing Neural Network”. International Journal of Innovative Computing,Information and Control 6.11. Impact Factor 1.431, pp. 4813–4824.
Zunera Jalil, Anwar M. Mirza, and Maria Sabir. 2010q. “Content Based Zero-Watermarking Algorithm For Authentication OfText Documents”. arXiv preprint arXiv:1003.1796.
Abdul Majid, Asifullah Khan, Gibran Javed, and Anwar M. Mirza. 2010u. “Lattice Constant Prediction Of Cubic And Monoclinic Perovskites Using Neural Networks And Support Vector Regression”. Computational materials science 50.2. Impact Factor3.3, pp. 363–372.
Ghazanfar Latif Qurat-Ul-Ain, Sidra Batool Kazmi, M Arfan Jaffar, and Anwar M. Mirza. 2010x. “Clas- sification AndSegmentation Of Brain Tumor Using Texture Analysis”. Recent Advances in Artificial Intelligence, Knowledge Engineering and Databases, pp. 147–155.
Asmatullah Chaudhry, Anwar M. Mirza, and Nisar A Memon. 2009f. “Fusion Of Linear And Non-Linear Image RestorationFilters Using Genetic Programming”. Mehran Univ. Research Journal of Engineering and Technology (Pakistan).
Ayyaz Hussain, Arfan Jaffar, Fauzia Jabeen, and Anwar M. Mirza. 2009g. “Impulse Noise Removal Using Robust StatisticalEstimators and Fuzzy Logic”. ICIC Express Letters 3.4, pp. 1119–1124.
Ayyaz Hussain, M Arfan Jaffar, Anwar M. Mirza, and Asmatullah Chaudhry. 2009h. “Detail Preserving Fuzzy Filter For Impulse Noise Removal”. International Journal of Innovative Computing, Information and Control 5.10. Impact Factor 1.431, pp.3583–3591.
Arfan Jaffar, Bilal Ahmed, Nawazish Naveed, Ayyaz Hussain, and Anwar M. Mirza. 2009n. “Color Video Segmentation Using Fuzzy C-Mean Clustering With Spatial Information”. WSEAS Transactions on Signal Processing 5.5, pp. 198–207.
Arfan Jaffar, Ayyaz Hussain, Fauzia Jabeen, and Anwar M. Mirza. 2009o. “3D Lungs Nodule Detection and Classification”. ICICExpress Letters 3.4, pp. 1143–1148.
M Arfan Jaffar, Ayyaz Hussain, Anwar M. Mirza, and Asmatullah Chaudhry. 2009u. “Fuzzy Entropy And Morphology Based Fully Automated Segmentation Of Lungs From CT Scan Images”. International Journal of Innovative Computing,Information and Control 5.12. Impact Factor 1.431, pp. 4993–5002.
Nisar Ahmed Memon, Anwar M. Mirza, and SAM Gilani. 2008g. “Deficiencies Of Lung Segmentation TechniquesUsing CT Scan Images For CAD”. International Journal of Computer and Information Engineering 2.8, pp. 2764–2769.
Asmatullah Chaudhry, Asifullah Khan, Asad Ali, and Anwar M. Mirza. 2007a. “A Hybrid Image Restoration Approach: Using Fuzzy Punctual Kriging And Genetic Programming”. International Journal of Imaging Systems and Technology17.4. Impact Factor 3.3, pp. 224–231.
Asmatullah Chaudhry and Anwar M. Mirza. 2007b. “Effect Of Neighbourhood Size On Negative Weights In PunctualKriging Based Image Restoration”. International Journal of Applied Mathematics and Computer Sciences 4.1. Impact Factor2.157, pp. 1–6.
Syed Gibran Javed, Asifullah Khan, Abdul Majid, Anwar M. Mirza, and J Bashir. 2007c. “Lattice Constant Prediction Of Orthorhombic ABO3 Perovskites Using Support Vector Machines”. Computational Materials Science 39.3. Impact Factor3.3, pp. 627–634.
Asifullah Khan and Anwar M. Mirza. 2007e. “Genetic Perceptual Shaping: Utilizing Cover Image And Conceivable Attack Information During Watermark Embedding”. Information fusion 8.4. Impact Factor 18.6, pp. 354–365.
Anwar M. Mirza, Asmatullah Chaudhry, and Badre Munir. 2007f. “Spatially Adaptive Image Restoration Using Fuzzy PunctualKriging”. Journal of Computer Science and Technology 22.4. Impact Factor 1.9, pp. 580–589.
Anwar M. Mirza and Shaukat Iqbal. 2007g. “Finite Element Investigations For The Construction Of Composite Solutions OfEven-Parity Transport Equation”. Applied Sciences 9. Impact Factor 2.7, pp. 121–140.
Anwar M. Mirza, Shaukat Iqbal, and Faizur Rahman. 2007h. “A Spatially Adaptive Grid-Refinement Approach For The Finite Element Solution Of The Even-Parity Boltzmann Transport Equation”. Annals of Nuclear Energy 34.7. Impact Factor 1.9, pp.600–613.
Labiba Gilani, Asifullah Khan, and Anwar M. Mirza. 2006d. “Distortion Estimation In Digital Image Watermarking Using Genetic Programming”. International Journal of Applied Mathematics and Computer Sciences 3.3. Impact Factor 2.157.
Asifullah Khan, Anwar M. Mirza, and Abdul Majid. 2006f. “Intelligent Perceptual Shaping Of A Digital Watermark: Exploiting Characteristics Of Human Visual System”. International Journal of Knowledge-Based and Intelligent EngineeringSystems 10.3. Impact Factor 0.7, pp. 213–223.
Abdul Majid, Asifullah Khan, and Anwar M. Mirza. 2006i. “Combination Of Support Vector Machines Using GeneticProgramming”. International Journal of Hybrid Intelligent Systems 3.2. Impact Factor 0.9, pp. 109–125.
M Uzair, Anwar M. Mirza, and Nisar A. Memon. 2006l. “Improvement On Prim’s MST Based Algorithm Using Multi-Element Heap Nodes”. MEHRAN UNIVERSITY RESEARCH JOURNAL OF ENGINEERING AND TECHNOLOGY 25.1, p. 29.
Asifullah Khan, Abdul Majid, and Anwar M. Mirza. 2005d. “Combination And Optimization Of Classifiers In GenderClassification Using Genetic Programming”. International Journal of Knowledge-based and Intelligent Engineering Systems 9.1.Impact Factor 0.7, pp. 1–11.
Syed Fahad Tahir, Asifullah Khan, Abdul Majid, and Anwar M. Mirza. 2005j. “Support Vector Ma- chine Based IntelligentWatermark Decoding For Anticipated Attack”. International Journal of applied Mathematics and Computer Sciences 1.1. ImpactFactor 2.157, pp. 7–12.
College of Computer Engineering & Sciences, Prince Muhammad Bin Fahd University (PMU), Al Khobar, Saudi Arabia
Google Scholar: https://scholar.google.com/citations?hl=en&user=kBLCAlMAAAAJ
Scopus: https://www.scopus.com/authid/detail.uri?authorId=12242760100
Orcid: https://orcid.org/0000-0001-7600-6247
Web of Science: https://www.webofscience.com/wos/author/record/KHW-9731-2024
IEEE: https://ieeexplore.ieee.org/author/37286059000
ACM: https://dl.acm.org/profile/81312484373
Sessional Professor,W Booth School of Engineering, McMaster University, Hamilton, Ontario, Canada
Professor, Department of Computer Engineering, College of Computer & Information Sciences, King Saud University (KSU),Riyadh, Saudi Arabia
Professor, Department of Computer Science, National University of Computer & Emerging Sciences (FAST - NUCES), Islamabad,Pakistan
Associate Professor, Faculty of Computer Science & Engineering, Ghulam Ishaq Khan Institute (GIKI) of Engineering Science &Technology, Topi, Pakistan
Assistant Professor, Department of Computer & Information Sciences, Pakistan Institute of Engineering & Applied Sciences (PIEAS),Islamabad, Pakistan
Teaching Assitant, Computer Centre, Imperial College (IC) of Science, Technology & Medicine, London, United Kingdom
Saudi Arabia
COEN/COSC4393 Machine Learning (PMU)
COSC4362 Artificial Intelligence (PMU)
COSC4373 Computer Vision (PMU)
AINT3411 Introduction to Machine Learning (PMU)
AINT3421 Deep Learning
GEIT3351 Software Engineering I (PMU)
GEIT2331 Math Reasoning & Algo Thinking (PMU)
CEN340 Signals and Systems (King Saud University)
CEN352 Digital Signal Processing (King Saud University)
CEN464 Digital Image Processing (King Saud University)
CEN647 Pattern Recognition (King Saud University)
CEN546 Digital Image Processing (King Saud University)
CEN645 Speech and Video Signal Processing (King Saud University)
Canada
SEP740 Deep Learning (McMaster)
4AI3 Artificial Intelligence and Machine Learning (McMaster)
SEP788 Neural Networks & Development Tools (McMaster)
SEP789 Deep Learning and It Applications (McMaster)
SEP769 Cyber Physical Systems (McMaster)
3SH3 Operating Systems
1DM3 Discrete Mathematics
CSE700 Scientific Computing
ELE792 Digital Signal Processing
CSCC69 Operating Systems
Pakistan
CS532 Neural Networks (NUCES)
EE402 Digital Image Processing (NUCES)
CS418 Computer Graphics (NUCES)
CS553 Applied Image Processing (NUCES)
CS528 Advanced Artificial Intelligence (NUCES)
CS521 Advanced Computer Graphics (NUCES)
CS505 Advanced Operating Systems (NUCES)
CSE211 Introduction to Operating Systems (GIKI)
CSE351 Introduction to Artificial Intelligence (GIKI)
CSE221 Data Structures and Algorithms (GIKI)
CSE452 Artificial Neural Networks (GIKI)
CSE312 Systems Programming (GIKI)
CSE572 / ME515 Finite Element Methods (GIKI)
CSE503 Advanced Operating Systems (GIKI)
CSE452 Advanced Artificial Neural Networks (GIKI)
CSE563 Knowledge Engineering & Expert Systems (GIKI)
CSE419 Applied Image Processing (GIKI)
CSE223 Object-Oriented Programming (GIKI)
CSE101 Introduction to Computing (GIKI)
EE351 Signals and Systems (GIKI)
EE452 Digital Signal Processing (GIKI)
CIS101 Computing Fundamentals (PIEAS)
CIS315 Introduction to Artificial Intelligence (PIEAS)
PAM360 Numerical Methods (PIEAS)
PAM230 Engineering Mathematics (PIEAS)
EE522 Pattern Recognition (PIEAS)
CIS621 Machine Learning (PIEAS)
EE554 Digital Image Processing (PIEAS)
CIS201 Object-Oriented Programming (PIEAS)
CIS526 Image Processing and Machine Vision (PIEAS)
CIS322 Signal and Image Processing (PIEAS)
CIS526 Applied Image Processing (PIEAS)
PAM589 / NE511 Numerical Methods in Engineering (PIEAS)
CIS143 Discrete Mathematics (PIEAS)
United Kingdom
Unix Fundamentals (Imperial College, University of London)
Programming in C (Imperial College, University of London)
FORTRAN Programming (Imperial College, University of London)
I am interested in conducting research in areas related to neural networks, deep learning, artificial intelligence, image processing, computer vision, and modelling & simulation. I am keenly interested in novel numerical techniques and their applications in solving realistic problems. I am especially interested in biologically inspired ideas like genetic algorithmsand artificial neural networks, and their soft-computing applications. I have been involved in solving image/video restoration problems using neuro-fuzzy techniques, homogeneous and heterogeneous combination of classifiers using geneticprogramming, optimization of shaping functions in digital watermarking and solution of transport equation using adaptivefinite element approach.
IEEE
ACM
