Skip Navigation Linksكلية علوم الحاسب والمعلوماتوحدة البحوثArabic Language Processing and Islamic Informatics (ALPII)


  • Staff Members:


  • Dr. Ahmed Khorasi (RG Director)
    1.        Dr. Ashraf Shaheen
    2.        Dr. Merabti Tayeb
    3.        Dr. Ahmed Biyabani
    4.        Dr. Adel Ammar
    5.        Dr. Mohamed-Foued Sriti
    6.        Maha Sulaiman Alrabiah
    7.        Sarah Mohammed Alhassan
    8.        Amal Alsaif
    9.        Madawi Saqer Rasheed AlOtaibi
    10.        Ebtesam Aloboud
    11.        Hayat Saleh Almosallam
    12.        Sarah Omar Alhumoud
    13.        Areeb Alowisheq
    14.        Mai Alammar
    15.        Huda Almuzaini
    16.        Ghada Alosaimi
    17.        Tasniem Alyahya
    18.        Shahad Alqefari
    19.        Haifa Alaqel
    20.        Lamia Alabdulkarim
    21.        Reham alMajed
    22.        Wafa Alrajhi
    23.        Abeer Alnafjan
    24.        Suha Althunayan
    25.        Abeer Saad AlSheddi


  • Research Group Interests:
  • All technologies within the scope of Arabic language processing and islamic informatics might be investigated such as
    - Natural Language Processing
    - Machine Learning
    - Software Engineering
    - Web Technologies
  •  
  • Research Group Activities/Projects:
  • 1.    An Arabic OCR system.
    2.    Arabic morphology unsupervised learning.
    3.    Sentiment Analysis for Arabic Content in Big Data, led by Dr. Sarah Alhomod (PI) (funded by Deanship of Academic Research)
    4.    Discourse Annotation towards Arabic Summarization, led by Dr. Amal Alsaif (PI) (funded by Deanship of Academic Research).
    5.    Designing intelligent Robot to help Disabled People to Perform Prayers, led by Dr. Maha Alrabiah (PI) (funded by Deanship of Academic Research).
    6.    Almwarith. educational Application to teach and evaluate students in Shariah departments. led by Dr. Amal Alsaif. (not funded).


  • Research Group Publications:
  • Al-Ammar, M., Al-Majed, R., & Aboalsamh, H. (2011). Online handwriting recognition for the arabic letter set. Recent Researches in Communications and IT
    Al-Ammar, M. A., Al-Khalifa, H. S., & Al-Salman, A. S. (2011, December). A proposed indoor navigation system for blind individuals. In Proceedings of the 13th International Conference on Information Integration and Web-based Applications and Services (pp. 527-530). ACM.‏
    Al-Ammar, M. A., Alhadhrami, S., Al-Salman, A., Alarifi, A., Al-Khalifa, H. S., Alnafessah, A., & Alsaleh, M. (2014, October). Comparative survey of indoor positioning technologies, techniques, and algorithms. In Cyberworlds (CW), 2014 International Conference on (pp. 245-252). IEEE.‏
    Alhadhrami, S., Al-Salman, A., Al-Khalifa, H., Alarifi, A., Alnafessah, A., Alsaleh, M., & Al-Ammar, M. (2014). Ultra wideband positioning: An analytical study of emerging technologies. In Proceedings of the Eighth International Conference on Sensor Technologies and Applications, SENSORCOMM (pp. 1-9).‏
    AlRouqi, H., Alarifi, A., Alnafessah, A., Alhadhrami, S., Al-Khalifa, H. S., Al-Salman, A. S., & Al-Ammar, M. A. (2015, October). Evaluating Arabic Text-to-Speech synthesizers for mobile phones. In Digital Information Management (ICDIM), 2015 Tenth International Conference on (pp. 89-94). IEEE.‏
    Alhadhrami, S., Alnafessah, A., Al-Ammar, M., Alarifi, A., Al-khalifa, H., & Alsaleh, M. (2015, December). UWB Indoor Tracking System for Visually Impaired People. In Proceedings of the 13th International Conference on Advances in Mobile Computing and Multimedia (pp. 54-62). ACM.‏
    Alnefessh, A., Al-Ammar, M., Al-Hadhrami, S., Al-Salman, A., & Al-khalifa, H. Developing an Ultra Wideband Indoor Navigation System for Visually Impaired People. International Journal of Distributed Sensor Networks, 2016
    Alarifi, A., Al-Salman, A., Alsaleh, M., Alnafessah, A., Al-Hadhrami, S., Al-Ammar, M. A., & Al-Khalifa, H. S. (2016). Ultra Wideband Indoor Positioning Technologies: Analysis and Recent Advances. Sensors, 16(5), 707.‏
    - Alrabiah, M., Alhelewh, N., Al-Salman, A. & Atwell, E., 2014. An Empirical Study on the Holy Quran Based on a Large Classical Arabic Corpus. International Journal of Computational Linguistics (IJCL), 5(2).
    - Alrabiah, M., Al-Salman A. & Atwell, E., 2013. The design and construction of the 50 million words KSUCCA King Saud University Corpus of Classical Arabic. In Proc. of the Second Workshop on Arabic Corpus Linguistics (WACL-2). Lancaster University, UK.
    - Alrabiah, M., Al-Salman A. & Atwell, E., 2013. KSUCCA a cornerstone to study thee semantics of the Quranic words in the light of distributional lexical semantics. In Proc. NOORIC’1435-201.AlmadinahAlmonawwrah, Saudi Arabia, (in Arabic).
    - Alrabiah, M., Al-Salman, A. & Atwell, E., 2014. The Refined MI A Significant Improvement to Mutual Information. In Proc. International Conference on Asian Language Processing 2014 (IALP2014). Kuching, Malaysia.
    - Alrabiah, M., Al-Salman, A. & Atwell, E., 2014. A New Distributional Semantic Model for Classical Arabic. InProc.International Conference on Islamic Applications in Computer Science and Technologies (IMAN2014). Amman, Jordan.
    - Alrabiah, M., Al-Salman, A., Atwell, E. & Alhelewh, N., 2014. KSUCCA: a Key to Exploring Arabic Historical Linguistics. International Journal of Computational Linguistics (IJCL), 5(3).
    Alrabiah, M & Al-Salman, A., 2010. An XML-based semantic parser for traditional Arabic. 4th International Universal Communication Symposium (IUCS).
    Khorsi, A., Alsheddi, A., 2017. Dependence-based segmentation approach for detecting morpheme boundaries. Advances in Science, Technology and Engineering Systems Journal (ASTES), 2(3).
    Khorsi, A., Alsheddi, A., 2016. Unsupervised morphological relatedness. International Journal of Advanced Computer Science and Applications(IJACSA), 7(10).
    Khorsi, A., Alsheddi, A., 2016. Unsupervised detection of morpheme boundaries. InProc.Information Technology (KACSTIT). Riyadh, Saudi Arabia.
    AlSouly, H., Alsheddi, A., Kurdi, H., 2013. Lightweight symmetric encryption algorithm for secure database. International Journal of Advanced Computer Science and Applications(IJACSA).
    AlSouly, H., Alsheddi, A., Kurdi, H., 2013. Enhanced TSFS algorithm for secure database encryption. Science and Information Conference (SAI). London, UK.
    Kurdi, H., Aloboud, E., Alhassan, S. and Alotaibi, E.T., 2014. An algorithm for handling starvation and resource rejection in public clouds. Procedia Computer Science, 34, pp.242-248.
    Alabdulkarim, L., Alrajhi, W. and Aloboud, E., 2016, July. Urban Analytics in Crowd Management in the Context of Hajj. In International Conference on Social Computing and Social Media(pp. 249-257). Springer International Publishing.
    Elhadj, Y. O., Abdelali, A., Bouziane, R., & Ammar, A. H. (2014, November). Revisiting Arabic Part of Speech Tagsets. In Computer Systems and Applications (AICCSA), 2014 IEEE/ACS 11th International Conference on (pp. 793-802). IEEE.
    Allouch, A., Koubaa, A., Abbes, T., Ammar, A., RoadSense: Smartphone Application to Estimate Road Conditions using Accelerometer and Gyroscope, IEEE Sensors Journal, 2017, doi: 10.1109/JSEN.2017.2702739.
    Chaari, I., Koubaa, A., Bennaceur, H., Ammar, A., Alajlan, M., & Youssef, H., Design and performance analysis of global path planning techniques for autonomous mobile robots in grid environments. International Journal of Advanced Robotic Systems, 14(2), 2017.
    Koubaa, A., Cheikhrouhou, O., Bennaceur, H., Sriti, M-F., Javed, Y, Ammar, A., Move and Improve: A Market-Based Mechanism for Autonomous Multi-Robot Patrolling, Journal of Intelligent & Robotic Systems, 1-24, 2016.
    Ammar, A., Bennaceur, H., Chaari, I., Koubaa, A., Alajlan, M., Relaxed Dijkstra and A* with Linear Complexity for Robot Path Planning Problems in Large-Scale Grid Environments, Volume 20, Issue 10, pp 4149–4171, October 2016.
    Ammar, A., Labroue, S., Obligis, E., Crépon, M. and Thiria, S., Building a Learning Database for the Neural Network Retrieval of Sea Surface Salinity from SMOS Brightness Temperatures. arXiv preprint arXiv:1601.04296, 2016.
    Ammar, A., Comparison of Feature Reduction Techniques for the Binominal Classification of Network Traffic. Journal of Data Analysis and Information Processing, Vol.3 No.2, 2015.
    Ammar, A., Al-Shalfan, K. On Attack-Relevant Ranking of Network Features. International Journal of Advanced Computer Science & Applications, 1(6), 229-236, 2015.
    Koubaa, A., Sriti, M-F., Bennaceur, H., Ammar, A., Javed, Y., Alajlan, M., Al-Elaiwi, N., Tounsi, M., & Shakshuki, E., COROS: A Multi-Agent Software Architecture for Cooperative and Autonomous Service Robots, Springer Book on Cooperative Robots and Sensor Networks (Edition 2015), May 2015.
    Ammar, A. (2015) A Decision Tree Classifier for Intrusion Detection Priority Tagging. Journal of Computer and Communications, 3, 52-58.
    Châari, I., Koubâa, A., Trigui, S., Bennaceur, H., Ammar, A., & Al-Shalfan, K. (2014). SmartPATH: An Efficient Hybrid ACO-GA Algorithm for Solving the Global Path Planning Problem of Mobile Robots. International Journal of Advanced Robotic Systems, 11.
    Châari, I., Koubâa, A., Bennaceur, H., Ammar, A., Trigui, S., Tounsi, M., & Youssef, H. (2014). On the Adequacy of TabuSearch for Global Robot Path Planning Problem in Grid Environments. Procedia Computer Science, 32, 604-613.
    Sallay, H., Ammar, A., Ben Saad, M., & Bourouis, S. (2013, August). A Real Time Adaptive Intrusion Detection Alert Classifier for High Speed Networks. In Network Computing and Applications (NCA), 2013 12th IEEE International Symposium on (pp. 73-80). IEEE.
    Alajlan, M., Koubaa, A., Chaari, I., Bennaceur, H., & Ammar, A. (2013, December). Global path planning for mobile robots in large-scale grid environments using genetic algorithms. In Individual and Collective Behaviors in Robotics (ICBR), 2013 International Conference on (pp. 1-8). IEEE.
    Sallay, H., Rouached, M., Ammar, A., Fredj, O. B., Al-Shalfan, K., & Saad, M. B. (2011). Wild-Inspired Intrusion Detection System Framework for High Speed Networks (φ| π) IDS Framework, IJISP 5(4): 47-58.
    Fredj, O. B., Sallay, H., Rouached, M., Ammar, A., Al-Shalfan, K., & Saad, M. B. (2011). Survey on Architectures and Communication Libraries dedicated for High Speed Networks. JUSPN, 3(2), 79-86.
    Rouached, M., Sallay, H., Fredj, O. B., Ammar, A., Al-Shalfan, K., & Ben, M. (2010, December). Formal analysis of intrusion detection systems for high speed networks. In Proceedings of the 9th WSEAS international conference on Advances in e-activities, information security and privacy (pp. 109-114).
    Fredj, O. B., Sallay, H., Ammar, A., Rouached, M., Al-Shalfan, K., & Saad, M. B. (2010, December). On distributed intrusion detection systems design for high speed networks. In Proceedings of the 9th WSEAS International Conference on Advances in E-Activities, Information Security and Privacy,(ISPACT’10), WSEAS, USA (pp. 115-120).
    Ammar, A., Labroue, S., Obligis, E., Mejia, C. E., Crépon, M., & Thiria, S. (2008). Sea surface salinity retrieval for the SMOS mission using neural networks. IEEE Transactions on Geoscience and Remote Sensing, , 46(3), 754-764. (IEEE TGRS Impact Factor: 2.933).
    Ammar, A., Labroue, S., Obligis, E., Mejia, C., Thiria, S., & Crepon, M. (2006). Sea surface salinity retrieval throughout a SMOS half-orbit using neural networks. In IEEE MicroRad, 2006 (pp. 103-108). IEEE.
    Obligis, E., Labroue, S., Ammar, A., Thiria, S., & Crepon, M. (2005, July). Neural networks to retrieve sea surface salinity from SMOS brightness temperatures. In Geoscience and Remote Sensing Symposium, 2005. IGARSS'05. Proceedings. 2005 IEEE International (Vol. 4, pp. 2568-2571). IEEE.
    Khorsi, A., Alsheddi, A., 2017. Dependence-based segmentation approach for detecting morpheme boundaries. Advances in Science, Technology and Engineering Systems Journal (ASTES), 2(3).
    Khorsi, A., Alsheddi, A., 2016. Unsupervised morphological relatedness. International Journal of Advanced Computer Science and Applications(IJACSA), 7(10).
    Khorsi, A., Alsheddi, A., 2016. Unsupervised detection of morpheme boundaries. InProc.Information Technology (KACSTIT). Riyadh, Saudi Arabia.
    Ahmed Khorsi, On Morphological Relatedness, Natural Language Engineering, volume 19, issue 04, pp. 537-555, Cambridge University Press, 2013
    Ahmed Khorsi, Morphological Distance Between Arabic Words, Communications of the Arab Computer Society, 5(1) August, 2012.
    Ahmed Khorsi, Effective Unsupervised Arabic Word Stemming: Towards an Unsupervised Radicals Extraction, IAJIT, 9(9), November, 2012
    Yahya M. Al-Haj, Imad A. Al-Sugayer, Ahmed M. Khorsi, Abdullah M. Al-Ansari Morphological Analysis of Quran’s Text, Arabic Journal of Computer and Engineering Science, 2010
    Ahmed Khorsi, Faissal Ouardi, and Djelloul Ziadi.Fast Equation Automaton Computation, Discrete Algorithms, 6(3):433–448, 2008.
    Ahmed Khorsi. An Overview Of Content-Based Spam Filtering Techniques, Informatica (Slovenia), 31(3):269–277, 2007.
    Ahmed Khorsi, Towards Hybridization Of Knowledge Representation And Machine Learning, Computing and Informatics, 26(2):123–147, 2007
    Ahmed Khorsi.Memory Model for Machine Learning, Applied Computing and Informatics, 6(1):15–29, 2007.
    Ahmed Khorsi, Nagoudi Moataz, Hadda Cherroun. Efficient Inverted Index with n-Gram Sampling for String Matching in Arabic Documents, Dec, 2016, AICCSA, Agadir, Accepted.
    Ahmed Khorsi. Morphological Distance, In the 7th International Computer Conference in Arabic, Riyadh, KSA, 2011.
    Ahmed Khorsi. Holy Qur’an Quotator, In the conf of IT Use for the Holly Quran, King Fahd Complex for the Printing of The Holly Qur’an, 2009
    Ahmed Khorsi.Mobile Location Prediction, In the 1st conference on IT and National Security, 2008.
    Ahmed Khorsi. Simple Knowledge Representation For Data-Mining, In the 18th conference on computing, Riyadh, KSA, 2006.
    Ahmed Khorsi. Intelligent System For Arabic Script Recognition, In Workshop On Arabic and Islamic IT Application, Riyadh, KSA, 2006.
    Ahmed Khorsi. Cognitive Model For Intelligent Human Computer Interface, In MOAD Conference, Saida, Algeria, 2004.
    Ahmed Khorsi. Comment L’Algorithme De Brzozowski Fait Il La Minimisation? In POIS Consortium, Saida, Algeria, 2003.
    Champarnaud, J.-M., Ahmed Khorsi, and Paranthoen. Split And Join For Minimizing: Brzozowski’S Algorithm,In Prague Stringology Conference 02, Prague, Czech Republic, 2002.
    Ahmed Khorsi.A New Model For Knowledge Representation And Automatic Deduction For A.I Applications, In The 6th World Multi Conference on Systemics, Orlondo, USA, 2002.
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