Ahmed Al-Hmouz
Ahmed Al-Hmouz
Associate Professor of Computer Science
Oakton College · Des Plaines, IL, USA

Ahmed Al-Hmouz is an Associate Professor of Computer Science at Oakton College, Chicago, IL, USA, with over 9 years of experience in higher education spanning teaching, departmental leadership, and research. He previously served as Dean of Information Technology at Middle East University (Amman, Jordan), overseeing four undergraduate programs in Computer Science, AI, Software Engineering, and Cybersecurity. His research spans Arabic NLP, adaptive mobile learning, fuzzy systems, and pattern recognition. He is the designer and implementor of Tasreef, a hybrid rule-based and neural Arabic morphological analyzer.

Arabic NLP Morphological Analysis Adaptive Mobile Learning Fuzzy Systems Data Mining seq2seq LSTM
[email protected] LinkedIn ResearchGate ORCID
79.76%Root Accuracy (UD PADT)
98.06%Wazan Accuracy (Gold Set)
+4.86%NN Boost over Rules
+115KWords in Corpus
Education
Ph.D. — Computer Science
University of Wollongong, Australia · 2012
Thesis: An Adaptive Framework to Provide Personalization for Mobile Learners
M.Sc. — Information Systems
University of Wollongong, Australia · 2006
M.Sc. — Internet Technology
University of Wollongong, Australia · 2005
B.Sc. — Computer Science
University of Mutah, Jordan · 2002
Experience
Associate Professor of CS
Oakton College, Chicago · 2024 – Present
Dean of Information Technology
Middle East University, Jordan · 2020 – 2023
Head, Quality Assurance (ABET)
Middle East University, Jordan · 2019 – 2023
Assistant / Associate Professor of CS
Middle East University, Jordan · 2013 – 2023
Research Paper
Tasreef (تصريف): Hybrid Rule-Based and Neural Arabic Root Extraction and Morphological Wazan Detection
Ahmed Al-Hmouz  ·  Oakton College, Chicago, USA  ·  Submitted to IEEE Open Journal of the Computer Society
We present Tasreef, a hybrid Arabic morphological analyzer that derives the trilateral or quadrilateral root and the ف/ع/ل-skeleton wazan simultaneously for supported Arabic surface forms, without consulting a word-form database. Its analysis applies four rule tiers — a feedback cache, lexical overrides, quadrilateral wordlists, and a pattern cascade indexed by word length and affix class — followed by a Tier-5 seq2seq LSTM root beam that activates only for unmatched tokens. On the UD Arabic-PADT test set (15,368 tokens), root accuracy is 79.76% (95% CI: [79.1%, 80.4%]). Out-of-sample wazan evaluation on 103 tokens reaches 98.06% root and wazan accuracy.
IEEE OJ-CS — Under Review Root: 79.76% Wazan: 98.06% Hybrid Rule + Neural
About Tasreef
Tasreef is an Arabic morphological analysis platform built to fill a gap that existing tools leave open: most Arabic NLP systems return a stem, lemma, or root — but none expose a single selected wazan. The wazan (وزن) encodes verb form, noun class, and derivational structure, and is the essential anchor for full morphological paradigm generation (تصريف).

The system combines a four-tier rule cascade covering prefix/suffix patterns, word length, and affix class, with a Tier-5 seq2seq LSTM root beam for out-of-vocabulary tokens. A structured human-in-the-loop correction workflow continuously refines rule coverage from real-world usage feedback.
Publications Google Scholar ↗
2011
Modeling and Simulation of an Adaptive Neuro-Fuzzy Inference System (ANFIS) for Mobile Learning
A. Al-Hmouz, J. Shen, R. Al-Hmouz, J. Yan
IEEE Transactions on Learning Technologies, 5(3)
386 citations
2026
Fuzzy Relational Models: Convolution Techniques and Optimization
R. Al-Hmouz, W. Pedrycz, A. Ammari, A. Al-Hmouz
Journal of Intelligent & Fuzzy Systems, 50(4)
1 citation
2025
Dimensionality-Based Evaluation of Fuzzy Models Developed for High-Dimensional Data
R. Al-Hmouz, W. Pedrycz, M. Mansouri, A. Al-Hmouz
International Conference on Artificial Intelligence and Soft Computing
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2023
Deep Learning for Assessing Severity of Cracks in Concrete Structures
A. BaniMustafa, R. AbdelHalim, O. Bulkrock, A. Al-Hmouz
International Journal of Computers, Communications & Control, 18(1)
13 citations
2022
A Data Variability Index: Quantifying Complexity of Models and Analyzing Adversarial Data
R. Al-Hmouz, W. Pedrycz, A. Ammari, A. Al-Hmouz
International Journal of Intelligent Systems, 37(11)
1 citation
2022
Fuzzy Relational Representation, Modeling and Interpretation of Temporal Data
R. Al-Hmouz, W. Pedrycz, M. Awadallah, A. Al-Hmouz
Knowledge-Based Systems, 244
6 citations
2021
Development of an Intelligent Decision Support System for Attaining Sustainable Growth within a Life Insurance Company
M.F. Khan, F. Haider, A. Al-Hmouz, M. Mursaleen
Mathematics, 9(12)
8 citations
2020
Enhanced Numeral Recognition for Handwritten Multi-Language Numerals Using Fuzzy Set-Based Decision Mechanism
A. Al-Hmouz, G. Latif, J. Alghazo, R. Al-Hmouz
International Journal of Machine Learning and Computing, 10(1)
13 citations
2019
Quantifying Dynamic Time Warping Distance Using Probabilistic Model in Verification of Dynamic Signatures
R. Al-Hmouz, W. Pedrycz, K. Daqrouq, A. Morfeq, A. Al-Hmouz
Soft Computing, 23(2)
34 citations
2019
Aggregated Deep Convolutional Neural Networks for Multi-View 3D Object Retrieval
A. Alzu'bi, A. Abuarqoub, A. Al-Hmouz
International Congress on Ultra Modern Telecommunications
2 citations
2018
An Analysis of Consensus Approaches Based on Different Concepts of Coincidence
M.J. Del Moral, J.M. Tapia, F. Chiclana, A. Al-Hmouz, E. Herrera-Viedma
Journal of Intelligent & Fuzzy Systems, 34(4)
18 citations
2017
An Online Numeral Recognition System Using Improved Structural Features
J.M. Alghazo, G. Latif, A. Elhassan, L. Alzubaidi, A. Al-Hmouz, R. Al-Hmouz
Journal of Telecommunication, Electronic and Computer Engineering, 9
20 citations
2017
Feature Reduction Method for Speaker Identification Systems Using Particle Swarm Optimization
A. Al-Hmouz, K. Daqrouq, R. Al-Hmouz, J. Alghazo
International Journal of Engineering and Technology, 9(3)
5 citations
2015
Fuzzy C Means Based Hybrid Classifiers for Offline Recognition of Handwritten Indian Numerals
M. Takruri, R. Al-Hmouz, A. Al-Hmouz, M. Momani
International Journal of Applied Engineering Research, 10(11)
11 citations
2014
A Three-Level Classifier: Fuzzy C Means, Support Vector Machine and Unique Pixels for Arabic Handwritten Digits
M. Takruri, R. Al-Hmouz, A. Al-Hmouz
World Symposium on Computer Applications & Research
11 citations
2012
An Adaptive Framework to Provide Personalisation for Mobile Learners
A. Al-Hmouz
PhD Dissertation, University of Wollongong
12 citations
2011
Modeling Mobile Learning System Using ANFIS
A. Al-Hmouz, J. Shen, J. Yan, R. Al-Hmouz
IEEE International Conference on Advanced Learning Technologies
14 citations
2010
Enhanced Learner Model for Adaptive Mobile Learning
A. Al-Hmouz, J. Shen, J. Yan, R. Al-Hmouz
International Conference on Information Integration and Web-based Applications
56 citations
2010
Learning on Location: An Adaptive Mobile Learning Content Framework
A. Al-Hmouz, A. Freeman
IEEE International Symposium on Technology and Society
23 citations