Dr. Abdallah AlShammari

Assistant Professor, CHE Dept.

Assistant Dean of Student Affairs

for Counseling & Advising


Office in Deanship of Student Affairs


Building 16 - Office 242

P.O. Box. 5050

Tel:  +966 3 860 7796

Fax: +966 3 860 4234




Building 68 - Office 172

P.O. Box. 5028

Tel:  +966 3 860 1412

Fax: +966 3 860 1413


Office in Chemical Engineering  Dept:



KFUPM, Dhahran, 31261, Saudi Arabia





Work Experience


Doctor of Philosophy (Chemical  Engineering – Process Control) – 2008

University of Alberta, Edmonton, Canada.


Master of Science (Chemical Engineering) – 2002

King Fahd University of Petroleum and Minerals, Saudi Arabia.


Bachelor of Science (Chemical Engineering) – 1998

King Fahd University of Petroleum and Minerals, Saudi Arabia.

1998 - 2000        Process engineer at Sadaf company, Saudi Arabia

2000-2002            Research assistance at KFUPM, Saudi Arabia

2002-2003            Lecturer at KFUPM, Saudi Arabia

2008-Current       Assistance professor at KFUPM, Saudi Arabia


2013-Current Assistant Dean of student affairs for advising and counseling


                            Member of AICHE

                            Member of SAS-AICHE

                            Member of SIAM


Member of several M.S. thesis committees.

Technical member of MEPEC 2011, MEPEC 2013 & MEPEC 2015.

Participated in several workshops about teaching strategies and academic leadership.




CHE 201 Principles of Chemical Engineering I


The basic principles and techniques used for calculations of material balances in chemical engineering processes are introduced. Material balance for reactive and nonreactive processes is discussed. Simple chemical engineering processes and complex systems including recycle are covered. Study of behavior of ideal and real gases. Computer simulation will be used for material balance problems.

CHE 204 Transport Phenomena I


The course introduces principles governing fluid flow for Newtonian and non-Newtonian fluids in laminar and turbulent flows. Mass, energy, momentum balances, dimensional analysis and simulation are used as tools to analyze flows: in pipes, in packed beds, around particles and surfaces, fluidized beds and flow meters.

CHE 401 Process Dynamics and Control


The intent of this course is to present the fundamental principles in modeling and control of chemical processes. The topics include: modeling of chemical processes, Laplace transfer and state-space models, approximation of complicated models, dynamics and simulation of different systems, feedback controllers, PID tuning, design and instrumentation of closed-loop control systems, control block diagrams, frequency response analysis, Bode and Nyquist stability criteria.

CHE 409 Chemical Engineering Laboratory II


A laboratory to complement the theoretical derivations in stagewise operations, process dynamics and control, and kinetics and reactor design. A safety session is given at the commencement of the course. Safe practices are strictly adhered to throughout the course. Two environmental engineering reaction experiments are included.

CHE 325 Chemical Engineering Laboratory I


Various topics about simulation using Hysys and computation using Matlab

CHE 325 Advanced Process Dynamics and Control


It covers various advanced topics in process control like Multivariable control, digital control and model predicative control





Al-Shammari, A., Rahman, SU., Chin D., An oblique rotating barrel electrochemical reactor for removal of copper ions from wastewater., J. Applied Electrochemistry.,34 (4), pp 447-453, 2004.


Al-Shammari, A.A., J.F. Forbes, Post-Optimality Analysis of Steady-State Linear Target Calculations in Model Predictive, Control, Proceedings of 8th International Conference of  Dynamics and Control of Process Systems, Cancun, Mexico, June 6--8, pp 51-56, 2007,


Al-Shammari, A.A., J.F. Forbes, Feasibility and Stability of Steady-State Target Calculation in Model Predictive Control, 57th Canadian Chemical Engineering Conference, Edmonton, October 2007.


Al-Shammari, A., J.F. Forbes, C. Caia, G.L. Anthieren, Uncertainty Analysis of Integer Linear Vector Optimization, 55th Canadian Chemical Engineering Conference, Toronto, October 2005.


Al-Shammari, A., & Ba-Shammakh, M. (2011). Uncertainty analysis for refinery production planning. Ind. Eng. Chem. Res., 50, 7065-7072.


Al-Shammari, A., Application of Post-Optimality Analysis in Process Engineering. Tenth International Symposium on Operations Research and Its Applications (ISORA 2011),   ORSC & APORC, pp. 59–66.  Dunhuang, China, August 28–31.


Al-Shammari, A., Investigating the Effect of Uncertainty on a LP Model of a Petrochemical Complex: Stability Analysis Approach. World Academy of Science, Engineering and Technology 59 2011, pp:912-914. Venice, Italy.


Al-Shammari, A., Forbes, F.,“Design of linear MPC target calculation to prevent cycling: A post-optimality approach”, (2013) European journal of control. Vol 18, N.6. 558-569.



Al-Shammari, A., Akhtar, N., Odedairo, T., Al-Khattak, S., “Kinetic studies of xylene Transformation reactions over ZSM-5 zeolite” accepted by Arabian Journal for Science and Engineering.


Al-shammari, A., Stability Analysis for Optimal Production Levels of a Petrochemical Complex. submitted .


Optimization of operational problems        Post-optimality analysis of linear optimization


Process modeling and  control                     Modeling of reaction Kinetics


Research Interest


Modeling and control of crude distillation unit, Principle investigator, submitted to NSTIP. (Recently App


PI/PID controller tuning of open-loop unstable processes with time delay: A Comparative study and new design approach. Co-investigator (IP10101


Closed loop approach for identification and PID controller tuning for refinery and petrochemical industries.  Co-investigator (SB101016)


Shape selective alkylation of toluene using novel hierarchically structured zeolites. Research member of the collaboration between the center of Research excellence in Petroleum Refining & Petrochemicals at KFUPM and TUM.


Application of different model predictive controller configurations to control the separation process of ternary mixtures of aromatics compounds, CO-investigator.


Useful Links

For students, check BlackBoard                                                    https://blackboard.kfupm.edu.sa/


Learn Matlab and Simulink package                                              www.mathworks.com


Learn Hysys                                                                                   www.aspentech.com/hysys/


Process control interactive learning modules                                www.pc-education.mcmaster.ca/course.htm



The American Institute of Chemical Engineers (AIChE)                www.aiche.org


Saudi Arabian section (SAS-AIChE)                                              www.aiche-sas.org


Society for Industrial and Applied Mathematics                             www.siam.org


Middle-East Process Engineering Conference                              www.mepec.org



  Alshammari 2015