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Dr. Hiba Basim Alwan

LECTURER

I hold a Bachelor in Computer Science from Al-Mansour University College, Baghdad-Iraq in 2004, a Master degree in Computer Science from University of Technology, Baghdad-Iraq, in 2006, Doctorate of Philosophy and Post-Doc in Computer Science from Universiti Utara Malaysia, Kedah-Malaysia in 2014 and 2019 respectively.

110154@uotechnology.edu.iq

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Curriculum Vitae

Education

  • Ph.D. – Computer Sciences – Universiti Utara Malaysia (UUM) – 2014
  • Msc. – Computer Sciences – University of Technology (UoT) – 2006
  • Bsc. – Computer Sciences – Al-Mansour University College (MUC) – 2004

Research Interests

  • Computational Intelligence
  • Pattern Classification
  • Pattern Recognition
  • Evolutionary Computation
  • Classification
  • Machine Learning
  • Ant Colony Optimization
  • Image Processing
  • Support Vector Machine
  • Statistical Learning
  • Optimization Methods
  • Feature Extraction and Selection
  • Soft Computing
  • Genetic Algorithm
  • Swarm Intelligence
  • Data Mining and Knowledge Discovery
  • Computer Vision
  • Metaheuristic
  • Algorithm
  • Big Data
  • Biometric

Teaching

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Most recent publications

  • Alwan, H.B. & Ku-Mahamud, K.R. (2020). Cancellable face template algorithm based on speeded-up robust features and winner-takes-all. Multimedia Tools and Applications, 79(39-40), 28675–28693.
  • Alwan, H.B. and Ku-Mahamud, K.R. (2020). Cancellable Face Biometrics Template Using AlexNet. Communications in Computer and Information Science (CCIS), 15-16 September 2019, Ramadi, Iraq, 336–348.
  • Alwan, H.B. and Ku-Mahamud, K.R. (2020). Big data: Definition, characteristics, life cycle, applications, and challenges. IOP Conference Series: Materials Science and Engineering, The 6th International Conference on Software Engineering & Computer Systems, 25-27 September 2019, Pahang, Malaysia 769(1), 1-8.
  • Alwan, H.B. & Ku-Mahamud, K.R. (2019). Intelligent Classification Algorithms in Enhancing the Performance of Support Vector Machine. Journal of Theoretical and Applied Information Technology, 97(2), 644-657.
  • Alwan, H.B. & Ku-Mahamud, K.R. (2017). Integrated ACOR/IACOMV-R-SVM Algorithm. ​ International Journal of Computer and Information Engineering, 11​(12), 1242-1246.
  • Alwan, H. B. & Ku-Mahamud, K. R. (2017). Mixed-variable ant colony optimisation algorithm for feature subset selection and tuning support vector machine parameter. ​ Int. J. Bio-Inspired Computation, 9​(1), 53-63.
  • Alwan, H.B. & Ku-Mahamud, K.R. (2013). Solving SVM model selection problem using ACOR and IACOR. WSEAS Transaction on Computers, 12(9), 355-365.
  • Alwan, H.B. & Ku-Mahamud, K.R. (2013). Formulating new enhanced pattern classification algorithms based on ACO-SVM. International Journal of Mathematical Models and Methods in Applied Science, 7(7), 700-707.
  • Alwan, H.B. & Ku-Mahamud, K.R. (2013). Feature selection and model selection algorithm using incremental mixed variable ant colony optimization for support vector machine classifier. International Journal of Mathematics and Computers in Simulation, 7(5), 406-414.
  • Al-Dulaimi, H.B. & Ku-Mahamud, K.R. (2013). Incremental continuous ant colony optimization for tuning support vector machine’s parameters. International Journal of Computers, 7(2), 50-57.
  • Alwan, H.B. & Ku-Mahamud, K.R. (2013). Solving support vector machine model selection problem using continuous ant colony optimization. International Journal of Information Processing and Management (IJIPM), 4(2), 86-97.
  • Alwan, H.B. and Ku-Mahamud, K.R. (2015). Solving SVM Problem Using ACOR and IACOMV. Proceedings of The 4th International Conference on Application of Computer Engineering (ACE ’15), 5-7 September 2015, Seoul, South Korea, 75-83.
  • Alwan, H.B. & Ku-Mahamud, K.R. (2013). Mixed variable ant colony optimization technique for feature subset selection and model selection. Proceedings of The 4th International Conference on Computing and Informatics, 28-30 August 2013, Kuching, Sarawak, Malaysia, 24-31.
  • Alwan, H.B. and Ku-Mahamud, K.R. (2013). Hybrid pattern classification algorithm based on ACO-SVM. Proceedings of The 13th International Conference on Applied Computer Science, 23-25 April 2013, Morioka, Japan, 140-145.
  • Al-Dulaimi, H.B. & Ku-Mahamud, K.R. (2013). Incremental mixed variable ant colony optimization for feature subset selection and model selection. Proceedings of The 12th International Conference on Artificial Intelligence, Knowledge Engineering and Data Bases, 20-22 February 2013, Cambridge, United Kingdom, 131-136.
  • Alwan, H.B & Ku-Mahamud, K.R. (2012). Incremental continuous ant colony optimization technique for support vector machine model selection problem. Proceedings of The 17th WSEAS International Conference on Applied Mathematics, 29-31 December 2012, Montreux, Switzerland, 165-170.
  • Alwan, H.B. & Ku-Mahamud, K.R. (2012). Optimizing support vector machine parameters using continuous ant colony optimization. Proceedings of The 7th International Conference on Computing and Convergence Technology, 3-5 December 2012, Seoul, Korea, 164-169.
  • Hiba B. Alwan (2010). Automatic design of synchronous sequential logic circuit using genetic algorithm. Proceedings of The 10th Scientific Conference, 24-25 October 2009, Baghdad, Iraq, 259-283.
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