Prof. Elena Agina is a graduate of the Chemistry Department at Lomonosov Moscow State University in Moscow, Russia. In 2005, she earned her PhD at the same university on the topic " Synthesis, structure, and phase behaviour of carbosilane liquid-crystalline dendrimers with terminal phenylbenzoate mesogenic groups ". In 2019, she achieved the rank of Habilitatus Doctor
in Chemical Sciences with a thesis on "Self-assembly of functionalized linear and branched carbosilane-siloxanes in thin films". Her main research interests lie in the field of multifunctional e-noses creation and in the field of OFET- and EGOFET-based gas and liquid hemo- and biosensor development. Recent projects have focused on the application of machine learning methods to
electronic nose systems designed for the detection of ultra-low concentrations of hazardous gases as well as early food spoilage and for express diagnostics of tuberculosis via exhaled breath analysis. Additionally, biosensors based on electrolyte-gated organic field-effect transistors (EGOFETs) including reusable and multisensory systems have been developed to measure pH, influenza A virus and cation concentrations.
Prof. Elena Agina is a graduate of the Chemistry Department at Lomonosov Moscow State University in Moscow, Russia. In 2005, she earned her PhD at the same university on the topic " Synthesis, structure, and phase behaviour of carbosilane liquid-crystalline dendrimers with terminal phenylbenzoate mesogenic groups ". In 2019, she achieved the rank of Habilitatus Doctor
in Chemical Sciences with a thesis on "Self-assembly of functionalized linear and branched carbosilane-siloxanes in thin films". Her main research interests lie in the field of multifunctional e-noses creation and in the field of OFET- and EGOFET-based gas and liquid hemo- and biosensor development. Recent projects have focused on the application of machine learning methods to
electronic nose systems designed for the detection of ultra-low concentrations of hazardous gases as well as early food spoilage and for express diagnostics of tuberculosis via exhaled breath analysis. Additionally, biosensors based on electrolyte-gated organic field-effect transistors (EGOFETs) including reusable and multisensory systems have been developed to measure pH, influenza A virus and cation concentrations.