Intelligent Computing @ Universiti Putra Malaysia

Academic Staffs:
  1. Assoc. Prof. Dr. Md. Nasir Bin Sulaiman
  2. Assoc. Prof. Dr. Norwati Binti Mustaph
  3. Assoc. Prof. Dr. Razali Yaakob
  4. Assoc. Prof. Dr. Nurfadhlina Binti Mohd Sharef
  5. Dr. Azree Shahrel Ahmad Nazri
  6. Dr. Nor Azura Binti Husin
  7. Dr. Khairul Azhar Bin Kasmiran
  8. Dr. Maslina Zolkepli
  9. Dr. Noridayu binti Manshor
Selected Current Projects:
  1. Spatio-temporal Data Mining Model For Shoreline Detection And Prediction In Peninsular Malaysia
  2. Cyberthreat Profiling And Prediction
  3. Meta-classifier Based On Boosted Approach For Image Recognition
  4. Social Media Spam and Spammer Detection
  5. Review-based Recommendation System
  6. Trust-based Recommendation System
  7. Social Media Spam and Spammer Detection
  8. Review-based Recommendation System
  9. Trust-based Recommendation System
Selected Completed Projects:
  1. A hybrid model using genetic algorithm and neural network for predicting dengue outbreak
  2. Intelligent Peri-Operative Decision Support System (iPoDSS) for Coronary Artery Disease Patients
  3. Optimal Layout in lining planning using meta-heuristic technique for optimising planting areas
  4. Data Stream Clustering For Instruction Detection Systems (IDS)
  5. A Hybrid Model for Predicting Dengue Outbreak
  6. Normalization Effect in Recommendation System
  7. Financial Index Prediction based on Social Media Analysis
  8. Temporal-based Recommendation System
  9. A Decision Tree Based On Spatial Relationships For Predicting Hotspots In Peatlands
  10. Anomalous Rare Attack Detection Rate For Intrusion Detection System Using Support Vector Machine And Genetic Programming
  11. Fuzzy Inference System in Modelling Cancer Survival and Prognosis of Breast cancer
Selected Recent Publications:
  1. Muhammad Syafiq Mohd Pozi, Md Nasir Sulaiman, Norwati Mustapha, Thinagaran Perumal, (2016), Improving Anomalous Rare Attack Detection Rate for Intrusion Detection System Using Support Vector Machine and Genetic Programming. Neural Processing Letters 44(2): 279-290
  2. Mohsen Kakavand, Norwati Mustapha, Aida Mustapha, Mohd Taufik Abdullah: Effective Dimensionality Reduction of Payload-Based Anomaly Detection in TMAD Model for HTTP Payload. TIIS 10(8): 3884-3910 (2016)
  3. Nor Azura Husin, Norwati Mustapha, Md. Nasir Sulaiman, Razali Yaacob, Hazlina Hamdan and Masnida Hussin (2016). Performance of Hybrid GANN in Comparison with Other Standalone Models on Dengue Outbreak Prediction. Journal of Computer Science. Volume 12, Issue 6, Pages 300-306
  4. Al-Hadi, I. A. A., Sharef, N. M., Sulaiman, M. N., Mustapha, N., (2016), “Ensemble Divide and Conquer Approach to solve the rating scores’ deviation in Recommendation System“, Journal of Computer Science, 12(6), pp. 265-275
  5. Siew Mooi Lim, Md Nasir Sulaiman, Abu Bakar Md Sultan, Norwati Mustapha, Bimo Ario Tejo, (2015), New Real-Coded Genetic Algorithm Operators for Minimization of Molecular Potential Energy Function. Applied Artificial Intelligence 29(10): 979-991
  6. Nurfadhlina Mohd Sharef, Trevor Martin, Khairul Azhar Kasmiran, Aida Mustapha, Md Nasir Sulaiman, Masrah Azrifah Azmi Murad, (2015), A comparative study of evolving fuzzy grammar and machine learning techniques for text categorization. Soft Comput. 19(6): 1701-1714
  7. Huey Fang Ong, Norwati Mustapha, Md Nasir Sulaiman, (2014), An integrative gene selection with association analysis for microarray data classification. Intell. Data Anal. 18(4): 739-758
  8. Maslina Zolkepli, Fangyan Dong, Kaoru Hirota, (2014), Automatic Switching of Clustering Methods based on Fuzzy Inference in Bibliographic Big Data Retrieval System. Int. J. Fuzzy Logic and Intelligent Systems 14(4): 256-267
  9. Maslina Zolkepli, Fangyan Dong, Kaoru Hirota, (2014), Visualizing Fuzzy Relationship in Bibliographic Big Data Using Hybrid Approach Combining Fuzzy c-Means and Newman-Girvan Algorithm. JACIII 18(6): 896-907
  10. Nor Azura Husin, Norwati Mustapha, Md Nasir Sulaiman, Razali Yaakob, (2012), A hybrid model using genetic algorithm and neural network for predicting dengue outbreak. DMO 2012: 23-27
  11. Hazlina Hamdan, Jonathan M. Garibaldi, (2012), A framework for automatic modelling of survival using fuzzy inference. FUZZ-IEEE 2012: 1-8
  12. Manshor, Noridayu; Rahiman, Amir Rizaan Abdul; Rajeswari, Mandava; Ramachandram, Dhanesh, (2012), Fusion of Global Shape and Local Features Using Boosting for Object Class Recognition, International Journal of Computer and Communication Engineering
  13. Noridayu Manshor, Amir Rizaan Abdul Rahiman and Raja Azlina Raja Mahmood.
    1. MetaClassifier Based on Boosted Approach for Object Class Recognition,
    International Review on Computers and Software (I.RE.CO.S.),vol.9(9), pp.1590-1596.