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د.احمد حسين عليوي الماجدي
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د.احمد حسين عليوي الماجدي

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C.V.

Name: Ahmed Hussein Aliwy
Affiliation: Computer science Dept. / computer science and math collage/ University of kufa
Academic Title: Assistant Professor
Academic Degree: PhD
Birthday: 25/11/1974
Marital Status: Married
Domicile: Iraq- Baghdad
Languages: Arabic - English
Cellular Phone: 009647818621140
Email: [email protected] [email protected]
General Specialization: Computer science (Natural language processing)
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Summary
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1- MSC in computer science from University of Technology- Baghdad- 2004
2- PhD in computer science (Natural language processing) from University of Warsaw- Poland- 2013
3- Faculty member (Lecturer) in University of Technology/Baghdad (2003-2015)
4- Faculty member (Assistant professor) in university of Kufa (2015- now).
5- Practice in administrative work, Chairmanship and member of multiple committees at the varied Universities.
6- Design of many applications and systems in various fields.
7- Publishing many research papers in international and local journals and conferences (more than 25 papers)
8- head of the computer science department for evening study (University of Kufa 2017)
9- Director of the Quality Assurance and Performance Evaluation.
10- Committee member and reviewer in many international conferences and journals.
11- Member of the Council for Quality Improvement of Computer Science Faculties in the ministry of higher education Iraq (to date).
12- Supervising many master's theses.
13- Supervising little PhD dissrtations.
14- Obtaining many letters of appreciation at the level of (college dean - university president - minister).
15- (in progress) constructing an Arabic corpus with multilevel annotation.
16- Few studies, such as the Technology Business Incubator.
17- (in progress) establishing a scientific association entitled "The Iraqi Digital Society for the Arabic Language"
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Dissertation title:
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Arabic morphosyntactic raw text part of speech tagging system
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Specialization:
1- Natural language processing
2- Computational linguistics
3- Information retrieval
4- Arabic language processing and technologies
5- Arabic Corpus Design.
6- language engineering
7- Machine learning
Working places:
1- Al-Rasheed collage of Engineering and Sciences .
2- Computer engineering Dep. University of Technology
3- Computer Science Dep. University of Technology
4- Computer Science Dep. University of Kufa.
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Scientific expertise (theoretical - practical):
a- experience in academic teaching(2004 - now) in the following articles:
1- Natural language processing
2- Theory of computation
3- Information retrieval
4- Compilers
5- Text mining
b- Programing languages:
1- Python
2- C# -- ASP.NET-- MVC
3- C -- C++ -- VC
4- VB
c- Design of many applications and systems in various fields.
d- Supervisor of number of students of the fourth stage projects (BSc).
e- Supervisor of number of MSc students.
f- Member of multiple committees at the University of Technology.
g- Member of multiple committees at the University of Kufa.
h- Member of multiple committees at ministry of higher education and scientific research .
i- Member of “Quality improvement Council of computer science faculties”.
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Published Papers
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Ahmed H. Aliwy, Ahmed A. Alethary (2020 ) “Development of Arabic Sign Language Dictionary using 3D Avatar Technologies” Indonesian Journal of Electrical Engineering and Computer Science, vol 21, No 1,
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Ahmed Hussain Aliwy, Basheer Al-Sadawi (2020 ) “Corpus-based technique for Improving Arabic OCR System” Indonesian Journal of Electrical Engineering and Computer Science, Vol 21, No 1.
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Zahraa Jasim Jabir, Ahmed H. Aliwy (2019 )“Lexical Semantic in Arabic Plagiarism Detection Using Winnowing Algorithm (Word Level)”International Journal of Advanced Science and Technology, Vol 28, No 12.
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Ahmed H. Aliwy and Hawraa A. Taher (2019) “Word sense disambiguation : servey study”Journal of computer science, Volume 15 No. 7, 1004-1011
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Ahmed H. Aliwy, Duaa A. Al Raza (2018) “Part Of Speech tagging for Arabic long sentence” International Journal of Engineering & Technology, 7 (3.27) 125-128
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Ahmed H.aliwy (2018 ) “Disambiguation of word sense in Arabic sentence for IR modls”International Conference on Computer Linguistics and Machine Processing of the Arabic Language , University of Qatar, Doha, Qatar.
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Abutiheen, Z. A., Aliwy, A. H., & Aljanabi, K. B. (2018, May). “Arabic text classification using master-slaves technique”. In Journal of Physics: Conference Series (Vol. 1032, No. 1, p. 012052). IOP Publishing.
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Ahmed H. Aliwy, Kadhim B. S. Aljanabi, and Huda A. Alameen (2017) “Information Retrieval Models: Survey” International Journal of Advanced Computer Science and Technology (IJACST) Vol 7, No 1.
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Aliwy, A. H., & Ameer, E. A. (2017). Comparative study of five text classification algorithms with their improvements. International Journal of Applied Engineering Research, 12(14), 4309-4319.
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Aliwy, A. H., Aljanabi, K. S., & AboAltaheen, Z. A. A. (2017). Classification of Arabic texts using four classifiers. IJCSIS) International Journal of Computer Science and Information Security, 15(8), 16-19.
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Ahmed H. Aliwy & KadhimAljanabi (2016 ) “Word Sense Disambiguation (WSD): A Survey in General and for Arabic Language in Specific” Collage of humanities conference, Najaf-Iraq.
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Ahmed H. Aliwy (2016) “Unification of multiple Treebanks and testing them with statistical parser with support of large corpus as lexical resource" Engineering and Technology Journal 34 (5), 711-720
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Aliwy, A. H. , Aljanabi, K. B., (2016). An Efficient Algorithm for Initializing Centroids in K-means Clustering. Journal of Kufa for Mathematics and Computer, 3(2), 18-24
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Aliwy, A. H., Abbas, A. R., & Wyld, D. C. (2015). Improvement WSD Dictionary using annotated corpus and testing it with simplified lesk algorithm. In NLP-2015 (pp. 89-97).
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Aliwy, A. H. (2015, March). Combining POS taggers in master-slaves technique for highly inflected languages as Arabic. In International Conference on Cognitive Computing and Information Processing (CCIP) (pp. 1-5). IEEE.
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Aliwy, A. H., Radie, R. A., & Hamed, H. S. (2015). HMM Based POS Tagging System for 8 Different Languages and Several Tagsets. Engineering and Technology Journal, 33(2 Part (B) Scientific), 326-337.
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Aliwy, A. H. (2012, October). Arabic Language Analyzer with Lemma Extraction and Rich Tagset. In International Conference on NLP (pp. 168-179). Springer, Berlin, Heidelberg.
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Aliwy, A. H. (2012). Tokenization as preprocessing for arabic tagging system. International Journal of Information and Education Technology, 2(4), 348.
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Alywy, A. H. (2008). Text Files Compression using Combination of two Dictionary methods (Specific dictionary for specific language and LZ77 Approach) Engineering and Technology Journal/ university of Technology 29(16), 664-671.
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Alywy, A. H. (2007). Data Reduction In Real Time Database Using Critical And Pivot Points. Engineering and Technology Journal, 25(9), 1092-1101.
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Activities at the university
a- Member of:
1. The Board of Directors of Technology Business Incubator
2. The Scientific Committee
3. Committee of Educational Supervision
4. Committee of many tests
5. And many others
b- Chairman of the Quality Committee(faculty level)
c- Head of the quality section in the faculty.
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Letters of appreciation and Certificates discretion
1- Letters of appreciation from minister of higher education
2- Certificate discretion for ministry of higher education.
3- Many Letters of appreciation from president of university.
4- Many Letters of appreciation from dean of faculty.
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Other scientific activities:
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1- Program committee in many conferences:
2- Head of Project of constructing multilevel annotated Arabic corpus (private work).
3- Little studies for little subjects like “Technology Business Incubator”.
4- Trying for establishing digital society for Arabic language.

الاهتمامات البحثية

4

البحوث المنشورة

3
2021

NERWS: Towards Improving Information Retrieval of Digital Library Management System Using Named Entity Recognition and Word Sense

الباحثونAhmed Hussein Aliwy، Ayad Abbas Ahmed Alkhayyat
المجلةBig Data and Cognitive Computing
مختصر البحث

An information retrieval (IR) system is the core of many applications, including digital library management systems (DLMS). The IR-based DLMS depends on either the title with keywords or content as symbolic strings. In contrast, it ignores the meaning of the content or what it indicates. Many researchers tried to improve IR systems either using the named entity recognition (NER) technique or the words’ meaning (word sense) and implemented the improvements with a specific language. However, they did not test the IR system using NER and word sense disambiguation together to study the behavior of this system in the presence of these techniques. This paper aims to improve the information retrieval system used by the DLMS by adding the NER and word sense disambiguation (WSD) together for the English and Arabic languages. For NER, a voting technique was used among three completely different classifiers: rules-based, conditional random field (CRF), and bidirectional LSTM-CNN. For WSD, an examples-based method was used to implement it for the first time with the English language. For the IR system, a vector space model (VSM) was used to test the information retrieval system, and it was tested on samples from the library of the University of Kufa for the Arabic and English languages. The overall system results show that the precision, recall, and F-measures were increased from 70.9%, 74.2%, and 72.5% to 89.7%, 91.5%, and 90.6% for the English language and from 66.3%, 69.7%, and 68.0% to 89.3%, 87.1%, and 88.2% for the Arabic language.

2020

Development of Arabic Sign Language Dictionary using 3D Avatar Technologies

الباحثونAhmed Hussein Aliwy
المجلةIndonesian Journal of Electrical Engineering and Computer Science
مختصر البحث

The arabic sign language (ArSL) is the natural language of the deaf community in Arabic countries. ArSL suffers from a lack of resources such as unified dictionaries and corpora. In this work, a dictionary of Arabic language to ArSL has been constructed as a part of a translation system. The Arabic words are converted into hamburg notation system (HamNoSys) using eSign editor Software. HamNoSys was used to create manual parameters (handshape, hand orientation, hand location, and hand movement), while non-manual parameters (facial expressions, shoulder raising, mouthing gesture, head tilting, and body movement) added by using (mouth, face, and limbs) in the eSign editor software. The sign then converted to the sign gesture markup language (SiGML) file, and later 3D avatar interprets the SiGML file scripts to the animated sign. The constructed dictionary has three thousand signs; therefore, it can be adopted for the translation system in which written text can be transformed into sign language and can be utilized for the education of deaf people. The dictionary will be available as a free resource for researchers. It is hard and timeconsuming work, but it is an essential step in machine translation of whole Arabic text to ArSL with 3D animations.

2019

Word Sense Disambiguation: Survey Study

الباحثونAhmed Hussein Aliwy، Hawraa Taher
المجلةJournal of Computer Science
مختصر البحث

none

المحاضرات

5
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