ghafarinia@iut.ac.ir Google Scholar Office Room 419, Department of Electrical and Computer Engineering, Isfahan University of Technology, Isfahan 8415683111, Iran. Phone +98 31 3391 1452 Fax +98 31 3391 2451 Positions Department of Electrical and Computer Engineering Research Interests Fabrication Characterization and Modeling of Gas Sensors (MOX QCM CAT) Signal Processing and Pattern Recognition of Sensor Responses for Gas Analysis (Electronic Nose Enose Machine Olfaction) Modeling and Measurement of Gas Flow in Microfluidic Channels for Gas Analysis (GASMEMS) Design and Development of Embedded Systems for Avionics Applications More ArticlesJournal Papers Title DOI type The Effect of Channel Metal Coating and Surface Electric Charge on the Selectivity of a Microfluidic-Based Gas Analyzer 10.1109/JSEN.2024.3436631 Journal Development of a direct PMMA-PCB bonding method for low cost and rapid prototyping of microfluidic-based gas analysers 10.1039/D4RA03039G Journal Optimizing the micro/mesoporous structure of hierarchical graphene aerogel for CO2 capture by controlling the oxygen functional groups of graphene oxide 10.1016/j.jtice.2024.105352 Journal A general gas-dependent resistivity model for metal oxide semiconductor gas sensors considering the kinetics of charge transfer on the surface 10.1016/j.snb.2023.134488 Journal Novel Core/Shell Nylon 6,6/La-TMA MOF Electrospun Nanocomposite Membrane and CO<sub>2</sub> Capture Assessments of the Membrane and Pure La-TMA MOF 10.1021/acsomega.3c01616 Journal Mediator-Free Self-Powered Bioassay for Wide-Range Detection of Dissolved Carbon Dioxide 10.1021/acs.analchem.2c03021 Journal Toward a Highly Functional Hybrid ZnO Nanofiber-rGO Gas Sensor 10.1002/adem.202000005 Journal Large Suspended Monolayer and Bilayer Graphene Membranes with Diameter up to 750..m 10.1038/s41598-020-63562-y Journal Calculation of the electric potential and surface oxygen ion density for planar and spherical metal oxide grains by numerical solution of the Poisson equation coupled with Boltzmann and Fermi-Dirac statistics 10.1016/j.snb.2019.04.151 Journal An adaptive distributed approach for the real-time vision-based navigation system 10.1016/j.measurement.2019.05.015 Journal
