BEHNAZ JAFARI

    Behnaz Jafari is a Post-doctoral researcher in Chemical Engineering department of Texas Tech University. Her research aims to optimize the chemical vapor deposition (CVD) process in order to achieve high-quality graphene through machine learning and use optimized graphene as electromagnetic interference shielding. As the other part of her research, she plans to work on a novel electrochemical method -electrochemical reduction of graphene oxide (ERGO)- for the engineering of graphene composite fabrics as personal protective equipment to protect medical teams from airborne diseases. Furthermore, she worked on a project funded by Bill and Melinda Gates Foundation to develop an alkalinity sensor. She has participated in other projects, such as rare earth elements electrochemical extraction from coal. At Sharif University, Behnaz’s research had involved Hydrogen generation and wastewater treatment using Microbial Electrolysis Cell. She also worked in a Battery manufacturer as a Quality Assurance Engineer which gave her an opportunity to be familiar with Lead-Acid batteries.

• Ph.D., Chemical Engineering, Texas Tech University (2023)

• M.S., Chemical Engineering, Sharif University of Technology, (2014)

• B.S., Chemical engineering, Isfahan University of Technology, (2010)

• Electrochemical Sensors

• Graphene Applications

• Machine Learning

• Dancing

• Working out

• Socializing