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


    1. A. Azmi and N. Aziz, 2017, Comparison study of model based industrial low-density polyethylene production in tubular reactor, Chemical Engineering Transactions, 56, 751-756.
    2. S.A. Zulkeflee, S.A. Sata and N. Aziz, 2017, Auto-regressive with exogenous input model predictive controller for water activity in esterification, Chemical Engineering Transactions, 56, 217-222.
    3. M.N. Rosli and N. Aziz, 2016, Simulation of ethane steam cracking with severity evaluation, Materials Science and Engineering, 162, pp. 012017.
    4. N. Mohd and N. Aziz, 2016, Performance and robustness evaluation of Nonlinear Autoregressive with Exogenous input Model Predictive Control in controlling industrial fermentation process, Journal of Cleaner Production, 136, pp.42-50.
    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. Online Dynamic Optimization Studies of Catalyzed Esterification of Propionic Anhydride With 2-Butanol in the Presence Disturbance and Uncertainty
    2. Nonlinear Model Predictive Control (NMPC) for Industrial Low Density Polyethylene (LDPE) Tubular Reactor
    3. Real-Time Implementation of Nonlinear Autoregressive with Exogenous Input Model Predictive Control Strategy for Batch Esterification Reactor
    1. Simulation and Optimization of Biodiesel Production from Dimenthyl Carbonate in Batch Reactor
    2. Development of Inferential Model for Predicting Ethylene Steam Cracking Furnace Product using Artificial Neural Network
    3. Nonlinear Model Predictive Control for Bioethanol Fermentation Process