May Ali Alsaffar
Chemical Engineering Department
Assistant Professor
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PhD Chemical Engineering.
Reactor engineer and its application , Nanotechnology and its application in chemical engineering , Environmental Engineering
An overview of integration opportunities for sustainable bioethanol production from first-and second-generation sugar-based feedstocks
Artificial intelligence modelling approach for the prediction of CO-rich hydrogen production rate from methane dry reforming
Scavenging carbon deposition on alumina supported cobalt catalyst during renewable hydrogen-rich syngas production by methane dry reforming using artificial intelligence modeling technique
Backpropagation neural networks modelling of photocatalytic degradation of organic pollutants using TiO2-based photocatalysts.
Recent advances in renewable hydrogen derived glycerol: Overview of prospects and challenges production by thermo-catalytic conversion of biomass-
STUDY ON THE EFFECT OF ADDING COUPLING AGENT (TITANIUM DIOXIDE) ON THE RHEOLOGICAL, THERMAL AND ELECTRICAL PROPERTIES OF COMPOSITE MATERIAL (PE-WOOD)
Facile Synthesis and Characterization of Multi-Layer Graphene Growth On Co-Ni oxide/Al2O3 substrate Using Chemical Vapour Deposition
Simple synthesis of large-area multilayer graphene films on dielectric substrate via chemical vapor deposition route (Synthesis of MLG films on dielectric substrates via CVD route)
The Growth Kinetics of Multilayer Graphene Grown on Al2O3 Substrate by Chemical Vapour Deposition
Modeling the Effect of Process Parameters on the Photocatalytic Degradation of Organic Pollutants Using Artificial Neural Networks
Modeling the photocatalytic degradation of 1, 2-Dihydroxybenzene using Multilayer Perceptron Neural Networks
Response Surface Optimization of Multilayer Graphene Growth on Alumina-Supported Bimetallic Cobalt–Nickel Substrate
The prospect and challenges of renewable hydrogen production in Iraq
Predictive Modeling of Multilayer Graphene Growth by Chemical Vapour Deposition on Co-Ni/Al2O3 Substrate using Artificial Neural Network
Ammonia Sensing Using Multilayer Graphene Grown on Co-Ni/Al2O3 Substrate
Effects of Wood Filler Contents and Particle Sizes on the Mechanical and Thermal Properties of Polypropylene
Enhancement of Carbon Dioxide Absorption in Caustic Soda by Organic Solutes Addition
Unit operation /fourth class.