Bio
Dr. Ghanim M. Alwan is an accomplished chemical engineer and academic affiliated with the University of Technology Baghdad, Iraq. With a Ph.D. in Chemical Engineering from the University of Technology (1994) and graduate degrees from the University of Baghdad, he has built a career spanning research, teaching, and industrial consulting. His work focuses on simulation, optimization, and control of chemical processes, particularly in biochemical reactors and wastewater treatment. Dr. Alwan has held positions at Missouri University of Science and Technology, Al-Mustaqbal University College, and the Ministry of Industry. He has authored 25 publications, garnering over 200 citations and an h-index of 8, and has been recognized as a top peer reviewer by Elsevier. His memberships include prominent societies such as AIChE, SIAM, and IChemE, reflecting his contributions to the field of chemical engineering.
Educational Journey
Associate Professor Dr.PhD
University of Baghdad
Doctor of Philosophy Chemical Engineering
1994University of Baghdad
Master of Science Chemical Engineering in College of Engineering • College of Engineering
1983Experience
Supervisor and Consultor
1989 - Present • Research and DevelpomentResearcher and Advisor
2010 - Present • Chemical and Biological EngineeringAl-Mustaqbal University College
Lecturer and Consultor
2019 - 2021 • Chemical and Petroleum Industries EngineeringAffiliations
American Institute of Chemical Engineering (AIChE)
Researcher and Scientific Consulted
Member since 2011AIChE Academy
Researcher and Scientific Consulted
Member since 2011Society for Industrial and Applied Mathematics (SIAM)
Researcher and Scientific Consulted
Member since 2011Grants and Awards
On-line control of a wastewater treatment unit
Ministry of Higher Education
Study on Catalytic Wet Air Oxidation Process for Phenol Degradation in Synthetic Wastewater Using Trickle Bed Reactor
Petroleum Research and Development Center-Ministry of Oil-Iraq
Research
Hybrid Model and Optimization of Bioreactor of wastewater
This work deals with modeling and operation optimization of lab-scale continuous biochemical reactor. Wastewater is feeding to reactor contaminated with different concentration of glucose. The reactor is non-linear with stochastic changing in optimum operating conditions. Simulated model could develop the process and generate extra-confirmed data. The selected process variables are: dilution rate (D), feed substrate concentration (Si), pH and temperature (T). Simulated model could develop the process and generate extra-confirmed data. The effect of D was observed within Si of 20 g/L, while pH and T are affecting within Si of 60 g/L.Si has major effect on dynamic characteristics of the reactor. Reasonable agreement has been found when compared the simulated result with the previous work. Optimization technique helps the decision maker to select best operating conditions. This could reduce the risk of experimental runs and consumed cost for operating and design. Global Genetic algorithm (GA) has been found more reliable than deterministic search for the bioreactor. Optimization results are based on maximizing biomass growth. Optimal results indicate that maximum biomass concentration (X) is 80.57 g/L could be obtained at high value of Si (197.56 g/L) and low D (0.1hr-1 ).Si is sensitive variable for stochastic mutation of biomass growth.
