Qualifications: B.Eng. (USM), Ph.D. (Bradford)
Expertise: Batch Reactors, Modelling, Dynamic Optimisation, Process Control, Neural Network Technique


    1. S.A. Zulkeflee, S.A. Sata and N. Aziz, 2014. Multiple input multiple output nonlinear autoregressive with exogenous input model for enzymatic batch esterification reactor, Computer Aided Chemical Engineering, Elsevier, Vol. 33, Pages 775-780.
    2. Sudibyo, M.N. Murat and N. Aziz, 2015, MIMO neural Wiener based model predictive control (NWMPC) for MTBE reactive distillation using simulated annealing-particle swarm optimization (SA-PSO), Computer Aided Chemical Engineering, Elsevier, Vol. 37, Pages 1630-1635.
    3. Mohd, N., Aziz, N., 2015, Control of bioethanol fermentation process: Narx-based MPC (NARX-MPC) versus linear-based MPC (LMPC),Chemical Engineering Transactions, 45, pp. 1297-1302. 
    4. N.A.A. Bashah, M.R Othman and N. Aziz, 2015, Feed forward neural network model for production of isopropyl myristate in a semibatch reactive distillation: An evaluation of extrapolation prediction capability, Chemical Engineering Transactions, 45, pp. 1831-1836. 
    5. F. S. Rohman, S.Abdul Sata and N. Aziz, 2016, Application of online dynamic cascaded-conditional based optimization for handling model uncertainty in semi batch autocatalytic esterification process, ARPN Journal of Engineering and Applied Sciences, 11 (10), pp. 6541-6548. 
    1. Optimization and Control of Ethylene Steam Cracking Furnace or any other chemical processes. 
    2. Model Based Control for Isopropyl Myristate in Semibatch Reactive Column or any other chemical processes. 
    3. Modeling and optimization study for Water Treatment Plant or any other chemical process
    1. Modelling and Optimization of High Pressure Low Density Polyethylene (LDPE) Tubular Reactor.    
    2. Model Predictive Control for High Pressure Low Density Polyethylene (LDPE) Tubular Reactor.  
    3. Online Dynamic Optimization Studies of Catalyzed Esterification of Propionic Anhydride With 2-Butanol in the Presence Disturbance and Uncertainty   
    1. Development of Inferential Model for Ethylene Steam Cracking Furnace Using Artificial Neural Network 
    2. Inferential Control of Pilot Plant Distillation Column using Neural Network as Nonlinear Estimator  
    3. Nonlinear Model Predictive Control for Bioethanol Fermentation Process