Dr. Vahid Ghafarinia

ghafarinia@iut.ac.ir

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

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

type: Journal
Title	DOI	type	Date
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	2024-09
Development of a direct PMMA-PCB bonding method for low cost and rapid prototyping of microfluidic-based gas analysers	10.1039/D4RA03039G	Journal	2024-07
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	2024-01
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	2023-11
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	2023-06
Mediator-Free Self-Powered Bioassay for Wide-Range Detection of Dissolved Carbon Dioxide	10.1021/acs.analchem.2c03021	Journal	2022-11
Toward a Highly Functional Hybrid ZnO Nanofiber-rGO Gas Sensor	10.1002/adem.202000005	Journal	2020-08
Large Suspended Monolayer and Bilayer Graphene Membranes with Diameter up to 750..m	10.1038/s41598-020-63562-y	Journal	2020-04
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	2019-08
An adaptive distributed approach for the real-time vision-based navigation system	10.1016/j.measurement.2019.05.015	Journal	2019-05