Dr. Ahmed Al Hajaj
Dr. Ahmed Al Hajaj Assistant Professor
Bio
Education
Teaching
Research
Bio

Assistant Professor, Department of Chemical Engineering

Dr. Ahmed Al Hajaj is an Assistant Professor of Chemical Engineering at Khalifa University since 2014 and a former visiting professor at MIT from 2015 to 2016. Dr. Al Hajaj received his B.Sc. in Mechanical Engineering from the University of Arizona, in 2004. He followed with his master’s degree in Mechanical Engineering from the University of Miami in 2006 and another in Sustainable Energy Futures from the Imperial College London in 2008. In 2014, Dr. Al Hajaj completed his Ph.D. in Chemical Engineering from the Imperial College London.

Dr. Al Hajaj's research field is on the interface of chemical engineering, operations research, computational chemistry and biology.  His research focuses in major areas of process systems engineering:  product synthesis and process design; operation and scheduling; optimization; control. His research goal is to develop systematic tools that help process industries understand the performance of complex systems and solve decision making issues.

Dr. Al Hajaj aims to enhance the students’ ability in applying and integrating elements of chemical engineering to solve problems of analysis, design, operation, control and optimization in chemical engineering practice. His goal is to improve the students' ability in developing first-principle mathematical models derived from an understanding of the fundamental process physics and the interaction between physics and mathematical/numerical solution methods.

Education
  • Ph.D., Chemical Engineering, Imperial College of London (UK), 2014
  • M.Sc., Sustainable Energy Futures, Imperial College of London (UK), 2008
  • M.Sc., Mechanial Engineering, University of Miami (USA), 2006
  • B.Sc., Mechanical Engineering, University of Arizona (USA), 2004
Teaching
  • Analysis of Transport Phenomena
  • Systems Engineering
Research
  • Design and analysis of supply-chain networks of low carbon technologies (CO2 utilization and hydrogen)
  • Multiscale design and analysis of adsorbents and solvents for CO2 capture 
  • Modeling of biological systems using Genome-scale metabolic networks (Dynamic Flux Balance Analysis)
  • Modeling of electrochemical systems for energy applications (Li-Air batteries) and desalinations (electrodialysis)
  • Process synthesis, integration and optimization