Intelligent Systems and Artificial Intelligence
The intelligent system and artificial intelligence research group concerns with issues, problems, and research questions related to, but not limited, Deep Learning, Text Analytics, Machine translation, Computational Linguistics, Relation extraction, Pattern Recognition, Image Processing, Bio-informatics, Precision Medicine.
Members:
- Rachid Hedjam (Coordinator)
- Imran Khan
- Abdelhamid Abdesselam
- Hamza Zidoum
- Abdullah Al-Hamdani
Topics:
- Medical data Analysis
- Data clustering
- Remote sensing
- Anomaly detection
- Digital heritage analysis
- Deep Learning,
- Text Analytics, Machine translation,
- Computational Linguistics,
- Relation extraction,
- Pattern Recognition,
- Image Processing,
- Bio-informatics
- Precision Medicine.
Projects:
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Code
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Title
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Budget in $
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Team
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Starting Date
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Status
|
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IG/SCI/COMP/19/04
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Towards Smart Online Network Intrusion Detection Systems
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2350 0MR (~5000 US$)
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Dr. Rachid Hedjam
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1/1/19
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Ongoing
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IG/SCI/COMP/21/01
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Time-Based Electricity Consumption Patterns Dynamics Toward Smart Grid Applications
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2200 OMR
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Dr. Imran Khan
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1/1/21
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Ongoing
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Postgraduate Students:
Publications:
Journal Articles
2021
- I. Khan, Z Luo, AK Shaikh, R Hedjam, Ensemble clustering using extended fuzzy k-means for cancer data analysis Expert Systems with Applications 172, 114622.
- AK Shaikh, N Ahmad, I.Khan, S Ali, E-Participation Within E-Government: A Bibliometric-Based Systematic Literature Review International Journal of Electronic Government Research (IJEGR) 17 (4), 15-39.
2020
- Abdessalem, A. Zidoum, H., Zadjali, F., Hedjam, R., Al-Ansari, A., Bayoumi, R., Al-yahyaee, S., Hasan, M., Al-Barwani, S., Estimate of the HOMA-IR Cut-off Value Identifying Subjects at Risk of Insulin Resistance using a Machine Learning Approach, accepted for publication in Sultan Qaboos University Medical Journal
- Li, Q., Zhong, Q., Xie, C. & Hedjam, R., Weak Edge Identification Network for Ocean Front Detection. IEEE GRSSL
- Hedjam, R., Abdesselam, A. & Melgani, F., NMF with Feature Relationship Preservation Penalty Term for Clustering Problems”. Pattern recognition
- Hedjam, R., Abdesselam, A. & Melgani, F., Change Detection in Unlabeled Optical Remote Sensing Data Using Siamese CNN”. IEEE J-STARS.
- Rahiche, A., Hedjam, R., Al-Maadeed, S. & Cheriet, M., Historical documents dating using multispectral imaging and ordinal classification. Journal of Cultural Heritag
- Zhong, G., Qu, J., Wang, H., Liu, B., Jiao, W., Fan, Z., Miao, H. & Hedjam, R., Trace-Norm Regularized Multi- Task Learning for Sea State Bias Estimation. JOUC.
2019
- Sehad A, Chibani Y, Hedjam R, Cheriet M. Gabor filter-based texture for ancient degraded document image binarization. Pattern Analysis and Applications. 2019 Feb 5;22(1):1-22.
- Zaibet, L., Gibreel, T., Akhzami, S., Hedjam, R. and Boughanmi, H., 2019. A research-innovation model to foster university-industry links: an empirical typology. Asian Journal of Empirical Research, 11(9), pp.321- 336.
- I. Khan, Z Luo, JZ Huang, W Shahzad, Variable Weighting in Fuzzy k-Means Clustering to Determine the Number of Clusters, IEEE Transactions on Knowledge and Data Engineering
Conference Publications
2020
- Slimani, Y., Hedjam, R., Which Cnn Layer For Which Change? A Cnn Adaptation Approach For Change Detection In Remote Sensing Data, IEEE M2GARSS
- Alsaadi, H.S., Hedjam, R., Touzene, A., Abdessalem, A., Fast Binary Network Intrusion Detection based on Matched Filter Optimization, IEEE, ICoIT.
2019
- Hedjam, R., Abdesselam, A. and Melgani, F., (2019) “Change Detection from Unlabeled Remote Sensing Images Using SIAMESE ANN”. In IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium (pp. 1530-1533). IEEE.
- Jalali, S.M.J., Khosravi, A., Kebria, P.M., Hedjam, R. and Nahavandi, S., (2019) “Autonomous robot navigation system using the evolutionary multi-verse optimizer algorithm”. In 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC) (pp. 1221-1226). IEEE
- Karuppasamy, A., Abdessalem, A., Hedjam, R. and Zidoum, H.M. (2019) “Investigating Existing Techniques for Designing Convolutional Neural Network Filters”, In 2019 10th International Conference on Computing, Communication and Networking Technologies (ICCCNT) (pp. 1-7). IEEE.
Books and Book Chapters
2020
- Jalali, S. M., Hedjam, R., Khosravi, A., Heidari AA. & Mirjalili S, Autonomous Robot Navigation Using Moth- Flame-Based Neuroevolution, Springer Publisher
Contact:
Dr. Rachid Hedjam
rachid.hedjam@squ.edu.om
Office: (+968) 24 14 14 66