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.


  • Rachid Hedjam (Coordinator)
  • Imran Khan
  • Abdelhamid Abdesselam
  • Hamza Zidoum
  • Abdullah Al-Hamdani


  • 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.




Budget in $


Starting Date



   Towards Smart Online Network        Intrusion Detection Systems

2350 0MR (~5000 US$)

Dr. Rachid Hedjam




 Time-Based Electricity                     Consumption Patterns Dynamics   Toward Smart Grid Applications

2200 OMR

Dr. Imran Khan



Postgraduate Students:


Journal Articles



  • 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  • Rahiche, A., Hedjam, R., Al-Maadeed, S. & Cheriet, M., Historical documents dating using multispectral imaging and ordinal classification.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.


  • 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 


  • 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.


  • 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


  • Jalali, S. M., Hedjam, R., Khosravi, A., Heidari AA. & Mirjalili S, Autonomous Robot Navigation Using Moth- Flame-Based Neuroevolution, Springer Publisher


Dr. Rachid Hedjam 

Office: (+968) 24 14 14 66