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Ghazi AlNaymat
- Professor, BSDA Program Coordinator
- Ext: 5178
Dr. Ghazi AlNaymat earned his Ph.D. in May 2009 from the School of Information Technologies at The University of Sydney, Australia. He is currently a Professor of Data Science at the College of Engineering and Information Technology at Ajman University, UAE, where he has also served as the Data Analytics Program Coordinator since 2020. Prior to joining Ajman University, Dr. AlNaymat was the Chair of the Computer Science Department at Princess Sumaya University for Technology (PSUT) from 2017 to 2019. His research interests include Data Mining, Machine Learning, Big Data, and Data Science.
Education
- Ph.D. in Computer Science, The University of Sydney, Australia, 2009.
- M.Sc. in Computer Science, The University of Sydney, Australia, 2005.
- BS.c. in Computer Science, Mu'tah University, Jordan, 1998.
Ph.D. in Computer Science, The University of Sydney, Australia, 2009.
M.Sc. in Computer Science, The University of Sydney, Australia, 2005.
BS.c. in Computer Science, Mu'tah University, Jordan, 1998.
Experience
- Professor of Data Science, IT Department, Ajman University, UAE, 2024 - Present.
- Associate Professor, IT department, Ajman University, UAE, 2019-2024.
- Associate Professor, CS Department, Princess Sumaya University for Technology, Jordan, 2015-2019.
- Assistant Professor, CS Department, Dammam University, KSA, 2012-2015.
- Assistant Professor, CS Department, Tabuk University, KSA, 2010-2012.
- Research Associate, Cemagref Research Center, University of Blase Pascal, France, January 2010 - August 2010.
- Research Associate, CSE Department, University of New South Wales, Australia, 2019-2010.
Professor of Data Science, IT Department, Ajman University, UAE, 2024 - Present.
Associate Professor, IT department, Ajman University, UAE, 2019-2024.
Associate Professor, CS Department, Princess Sumaya University for Technology, Jordan, 2015-2019.
Assistant Professor, CS Department, Dammam University, KSA, 2012-2015.
Assistant Professor, CS Department, Tabuk University, KSA, 2010-2012.
Research Associate, Cemagref Research Center, University of Blase Pascal, France, January 2010 - August 2010.
Research Associate, CSE Department, University of New South Wales, Australia, 2019-2010.
Teaching Area
- Computer Science
- Data Science
- Artificial intelligence (AI)
Computer Science
Data Science
Artificial intelligence (AI)
Research
- Data Mining
- Data Science
- Artificial Intelligence
Data Mining
Data Science
Artificial Intelligence
Publications
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Ghazi Al-Naymat, Hanan Hussain, Mouhammd Al-Kasassbeh, Nidal Al-Dmour. Accurate Detection of Network Anomalies within SNMP-MIB Dataset using Deep Learning. International Journal of Computer Applications in Technology, 2021.
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Ahmad Al-Qerem, Ghazi Al-Naymat, Mays Alhasan. Model Improvement Through Comprehensive Preprocessing For Loan Default Prediction. International Journal of Scientific & Technology Research. 9(1) (2020)
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Ghazi Al-Naymat. Mitigating the Influence of the Curse of Dimensionality on Time Series Similarity Measures. International Journal of Computer Applications in Technology (IJCAT), (2015). Volume 52, Issue 1, 94-105.
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B Alhijawi, G Al-Naymat, N Obeid, A Awajan. Mitigating the Effect of Data Sparsity: A Case Study on Collaborative Filtering Recommender System. 2nd International Conference on new Trends in Computing Sciences (ICTCS) (2019). 1-6.
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Heba Abdel-Nabi, Ghazi Al-Naymat, Arafat Awajan. Content Based Image Retrieval Approach using Deep Learning. 2nd International Conference on new Trends in Computing Sciences (ICTCS) (2019). 1-8.
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M Khader, G Al-Naymat. An Overview of Various Enhancements of DENCLUE Algorithm. International Conference on Data Science, E-learning and Information 19 (1), 1-7.
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M Khader, A Awajan, G Al-Naymat. The Impact of Natural Language Preprocessing on Big Data Sentiment Analysis. The International Arab Journal of Information Technology 2019 (3A), 1-8.
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M Khader, A Awajan, G Al-Naymat. The Effects of Natural Language Processing on Big Data Analysis: Sentiment Analysis Case Study. 2018 International Arab Conference on Information Technology (ACIT), 1-7
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G Al-Naymat, M Al-Kasassbeh, E Al-Hawari. Exploiting SNMP-MIB Data to Detect Network Anomalies using Machine Learning Techniques. Proceedings of SAI Intelligent Systems Conference, 2018
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Ghazi Al-Naymat, Mouhammd Al-kasassbeh, Eshraq Al-Hawari. Using Machine Learning Methods for Detecting Network Anomalies within SNMP-MIB Dataset. International Journal of Wireless and Mobile Computing. Accepted March/2018.
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Mariam Khader, Ali Hadi, Ghazi Al-Naymat. HDFS File Operation Fingerprints for Forensic Investigations. Digital Investigation. Vol 24C. Pages (50-61).
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Mouhammd Al-Kasassbeh, Ghazi Al-Naymat, Eshraq Al-Hawari. Towards generating realistic snmp-mib dataset for network anomaly detection. International Journal of Computer Science and Information Security. Vol. 14 (9), 1162. 2016.
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Ghazi Al-Naymat, M AlKasassbeh, N Abu-Samhadanh, S Sakr. Classification of Voip And Non-Voip Traffic Using Machine Learning Approaches. Journal of Theoretical and Applied Information Technology 92 (2), 403-41, 2016.
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Mouhammd Alkasassbeh, Ghazi Al-Naymat, Ahmad B.A Hassanat and Mohammad Almseidin, “Detecting Distributed Denial of Service Attacks Using Data Mining Techniques” International Journal of Advanced Computer Science and Applications (IJACSA), Vol.7, No.1, 2016, Pages: 436-445.
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Ahmed Y. Hamed and Ghazi Al-Naymat. A Genetic Algorithm For Constructing Broadcast Trees With Cost And Delay Constraints In Computer Networks. International Journal of Computer Networks & Communications (IJCNC) Vol.7, No.1, (2015), Pages: 35 –50.
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JournalMariam Khader and Ghazi Al-Naymat. Density-based Algorithms for Big Data Clustering Using MapReduce Framework: A Comprehensive Study. ACM Comput. Surv. 53, 5, Article 93 (October 2020), 38 pages. DOI:https://doi.org/10.1145/3403951, ACM Computing Survey, Jan 2020
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JournalNN AlMadany, O Hujran, G Al Naymat, A Maghyereh, Forecasting cryptocurrency returns using classical statistical and deep learning techniques, International Journal of Information Management Data Insights, Vol: 4, pp.100251 - , Aug 2024
Ghazi Al-Naymat, Hanan Hussain, Mouhammd Al-Kasassbeh, Nidal Al-Dmour. Accurate Detection of Network Anomalies within SNMP-MIB Dataset using Deep Learning. International Journal of Computer Applications in Technology, 2021.
Ahmad Al-Qerem, Ghazi Al-Naymat, Mays Alhasan. Model Improvement Through Comprehensive Preprocessing For Loan Default Prediction. International Journal of Scientific & Technology Research. 9(1) (2020)
Ghazi Al-Naymat. Mitigating the Influence of the Curse of Dimensionality on Time Series Similarity Measures. International Journal of Computer Applications in Technology (IJCAT), (2015). Volume 52, Issue 1, 94-105.
B Alhijawi, G Al-Naymat, N Obeid, A Awajan. Mitigating the Effect of Data Sparsity: A Case Study on Collaborative Filtering Recommender System. 2nd International Conference on new Trends in Computing Sciences (ICTCS) (2019). 1-6.
Heba Abdel-Nabi, Ghazi Al-Naymat, Arafat Awajan. Content Based Image Retrieval Approach using Deep Learning. 2nd International Conference on new Trends in Computing Sciences (ICTCS) (2019). 1-8.
M Khader, G Al-Naymat. An Overview of Various Enhancements of DENCLUE Algorithm. International Conference on Data Science, E-learning and Information 19 (1), 1-7.
M Khader, A Awajan, G Al-Naymat. The Impact of Natural Language Preprocessing on Big Data Sentiment Analysis. The International Arab Journal of Information Technology 2019 (3A), 1-8.
M Khader, A Awajan, G Al-Naymat. The Effects of Natural Language Processing on Big Data Analysis: Sentiment Analysis Case Study. 2018 International Arab Conference on Information Technology (ACIT), 1-7
G Al-Naymat, M Al-Kasassbeh, E Al-Hawari. Exploiting SNMP-MIB Data to Detect Network Anomalies using Machine Learning Techniques. Proceedings of SAI Intelligent Systems Conference, 2018
Ghazi Al-Naymat, Mouhammd Al-kasassbeh, Eshraq Al-Hawari. Using Machine Learning Methods for Detecting Network Anomalies within SNMP-MIB Dataset. International Journal of Wireless and Mobile Computing. Accepted March/2018.
Mariam Khader, Ali Hadi, Ghazi Al-Naymat. HDFS File Operation Fingerprints for Forensic Investigations. Digital Investigation. Vol 24C. Pages (50-61).
Mouhammd Al-Kasassbeh, Ghazi Al-Naymat, Eshraq Al-Hawari. Towards generating realistic snmp-mib dataset for network anomaly detection. International Journal of Computer Science and Information Security. Vol. 14 (9), 1162. 2016.
Ghazi Al-Naymat, M AlKasassbeh, N Abu-Samhadanh, S Sakr. Classification of Voip And Non-Voip Traffic Using Machine Learning Approaches. Journal of Theoretical and Applied Information Technology 92 (2), 403-41, 2016.
Mouhammd Alkasassbeh, Ghazi Al-Naymat, Ahmad B.A Hassanat and Mohammad Almseidin, “Detecting Distributed Denial of Service Attacks Using Data Mining Techniques” International Journal of Advanced Computer Science and Applications (IJACSA), Vol.7, No.1, 2016, Pages: 436-445.
Ahmed Y. Hamed and Ghazi Al-Naymat. A Genetic Algorithm For Constructing Broadcast Trees With Cost And Delay Constraints In Computer Networks. International Journal of Computer Networks & Communications (IJCNC) Vol.7, No.1, (2015), Pages: 35 –50.
Mariam Khader and Ghazi Al-Naymat. Density-based Algorithms for Big Data Clustering Using MapReduce Framework: A Comprehensive Study. ACM Comput. Surv. 53, 5, Article 93 (October 2020), 38 pages. DOI:https://doi.org/10.1145/3403951, ACM Computing Survey, Jan 2020
About the journal
Journal Name
ACM Computing Survey
Publisher
ACM
NN AlMadany, O Hujran, G Al Naymat, A Maghyereh, Forecasting cryptocurrency returns using classical statistical and deep learning techniques, International Journal of Information Management Data Insights, Vol: 4, pp.100251 - , Aug 2024
About the journal
Journal Name
International Journal of Information Management Data Insights
Publisher
Elsevier
Conference Presentation
- Mariam S Khader, Ghazi Al-Naymat. VDENCLUE: An Enhanced Variant of DENCLUE Algorithm. Proceedings of SAI Intelligent Systems Conference. Springer. 575-593 (2020).
- Mariam S Khader, Ghazi Al-Naymat. Big Data Clustering Using MapReduce Framework: A Review. Proceedings of SAI Intelligent Systems Conference. Springer. Pages 575-593 (2020).
- Esraa Alshammari, Ghazi Al-Naymat, Ali Hadi. A New Technique for File Carving on Hadoop Ecosystem. IEEE International Conference on New Trends in Computing Sciences (ICTCS). 1-6, 2017,Amman, Jordan.
- Mariam Biltawi, Ghazi Al-Naymat, Sara Tedmori. Arabic Sentiment Classification: A Hybrid Approach. IEEE International Conference on New Trends in Computing Sciences (ICTCS). 104-108, 2017, Amman, Jordan.
- Ghazi Al-Naymat, Mouhammd Al-Kasassbeh, Ahmad Hassanat, Ahmad Al-Tarawneh. Dynamics-Based Approach for Accurate User Identification and Authentication using Machine Learning Techniques. IEEE International Conference on Information Technology and Applications. 1-10, 1/7/2016, Sydney, Australia.
- Ghazi Al-Naymat. GCG: Mining Maximal Complete Graph Patterns from Large Spatial Data. Proceedings of the 10th ACS/IEEE International Conference on Computer Systems and Applications (AICCSA), Fes, Morocco. May 27th-30th, 2013. Pages: 1–8.
- Ghazi Al-Naymat. Enumeration of Maximal Clique for Mining Spatial Co-location Patterns. Proceedings of the 6th ACS/IEEE International Conference on Computer Systems and Applications (AICCSA), Doha, Qatar. Mar 31st- April 4th, 2008. Pages: 126–133.
- Ghazi Al-Naymat, Sanjay Chawla, and Javid Taheri. SparseDTW: A Novel Approach to Speed up Dynamic Time Warping. The Australasian Data Mining (AusDM). vol. 101, Melbourne, Australia, ACM Digital Library, 2009. Pages: 117–127.
- Ghazi Al-Naymat, Sanjay Chawla and Joachim Gudmundsson. Dimensionality Reduction for Long Duration and Complex Spatio-Temporal Queries. The 2007 ACM Symposium on Applied Computing (SAC). Seoul, Korea. March 11-15, 2007. Pages: 393–397.
Mariam S Khader, Ghazi Al-Naymat. VDENCLUE: An Enhanced Variant of DENCLUE Algorithm. Proceedings of SAI Intelligent Systems Conference. Springer. 575-593 (2020).
Mariam S Khader, Ghazi Al-Naymat. Big Data Clustering Using MapReduce Framework: A Review. Proceedings of SAI Intelligent Systems Conference. Springer. Pages 575-593 (2020).
Esraa Alshammari, Ghazi Al-Naymat, Ali Hadi. A New Technique for File Carving on Hadoop Ecosystem. IEEE International Conference on New Trends in Computing Sciences (ICTCS). 1-6, 2017,Amman, Jordan.
Mariam Biltawi, Ghazi Al-Naymat, Sara Tedmori. Arabic Sentiment Classification: A Hybrid Approach. IEEE International Conference on New Trends in Computing Sciences (ICTCS). 104-108, 2017, Amman, Jordan.
Ghazi Al-Naymat, Mouhammd Al-Kasassbeh, Ahmad Hassanat, Ahmad Al-Tarawneh. Dynamics-Based Approach for Accurate User Identification and Authentication using Machine Learning Techniques. IEEE International Conference on Information Technology and Applications. 1-10, 1/7/2016, Sydney, Australia.
Ghazi Al-Naymat. GCG: Mining Maximal Complete Graph Patterns from Large Spatial Data. Proceedings of the 10th ACS/IEEE International Conference on Computer Systems and Applications (AICCSA), Fes, Morocco. May 27th-30th, 2013. Pages: 1–8.
Ghazi Al-Naymat. Enumeration of Maximal Clique for Mining Spatial Co-location Patterns. Proceedings of the 6th ACS/IEEE International Conference on Computer Systems and Applications (AICCSA), Doha, Qatar. Mar 31st- April 4th, 2008. Pages: 126–133.
Ghazi Al-Naymat, Sanjay Chawla, and Javid Taheri. SparseDTW: A Novel Approach to Speed up Dynamic Time Warping. The Australasian Data Mining (AusDM). vol. 101, Melbourne, Australia, ACM Digital Library, 2009. Pages: 117–127.
Ghazi Al-Naymat, Sanjay Chawla and Joachim Gudmundsson. Dimensionality Reduction for Long Duration and Complex Spatio-Temporal Queries. The 2007 ACM Symposium on Applied Computing (SAC). Seoul, Korea. March 11-15, 2007. Pages: 393–397.
Memberships, Awards and Honors
- Member of The Australian Computer Society.
- CMCRC full PhD scholarship for 4 years, Australia.
- Researcher of the Year Award, 2019.