Dr. Ghassem Baridi | Nano Sensors | Research Excellence Award
UNIMORE | Italy
Dr. Ghassem Baridi is a Biomedical Engineer specializing in nanotechnology and advanced biosensing systems, currently pursuing his PhD at the University of Modena and Reggio Emilia (UNIMORE), Italy. His research focuses on graphene-based biosensors, particularly GFET and SPR technologies, for physiological tissue analysis and biomarker detection. He has demonstrated strong expertise in integrating experimental techniques with computational modeling using COMSOL to optimize sensor performance and sensitivity. Baridi has authored and co-authored multiple peer-reviewed publications in reputable journals such as Physica E, Superlattices and Microstructures, Micromachines, and Sensors, with several additional works under review. His international collaborations, including research engagement in Spain, highlight his global academic involvement. With over a decade of experience as a physics educator, he has also contributed significantly to science education, fostering analytical skills and scientific awareness in society.
Citation Metrics (Scopus)
Featured Publications
Graphene plasmonic-assisted enhancement of linear and nonlinear optical properties of conic-shaped InAs/GaAs quantum dots with wetting layer (2020).
Sabaeian, Mohammad, and Ghassem Baridi · Superlattices and Microstructures · Elsevier
Coupling the graphene plasmonic with terahertz emission of truncated conic shaped InAs/GaAs quantum dots: A passive approach to enhance the intersubband optical properties (2021).
Sabaeian, Mohammad, and Ghassem Baridi · Physica E: Low Dimensional Systems and Nanostructures · Elsevier
Hybrid quantum dot-graphene layers with improved optical properties in the terahertz spectrum region (2023).
Baridi, Ghassem, et al. · Physica E: Low Dimensional Systems and Nanostructures · Elsevier
Graphene-based chemical field effect transistors: impact of electric double layer model and quantum capacitance on detection capabilities (2026).
Baridi, Ghassem, et al. · Micromachines · MDPI