BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:Africa/Harare BEGIN:STANDARD DTSTART:19081231T234942 TZOFFSETFROM:+0210 TZOFFSETTO:+0200 TZNAME:CAT END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20260814T080637Z UID:166AAA6D-1FCC-461B-950A-F0DE66810751 DTSTART;TZID=Africa/Harare:20260813T120000 DTEND;TZID=Africa/Harare:20260813T140000 DESCRIPTION:It is conventionally expected that the performance of existing gas sensors may degrade in the field compared to laboratory conditions bec ause (i) a sensor may lose its accuracy in the presence of chemical interf erences and (ii) variations of ambient conditions over time may induce sen sor-response fluctuations (i.e.\, drift). Breaking this status quo in poor sensor performance requires understanding the origins of design principle s of existing sensors and bringing new principles to sensor designs. Exist ing gas sensors are singleoutput (e.g.\, resistance\, electrical current\, work function\, light intensity) sensors\, also known as zero-order senso rs. Any zero-order sensor is undesirably affected by variable chemical bac kground and sensor drift that cannot be distinguished from the response to an analyte. In this lecture\, we will demonstrate that to address these l imitations\, multivariable gas sensors are emerging as the next generation reliable analytical devices.\n\nMultivariable gas sensors (also known as intelligent sensors\, multiparameter sensors\, high-order sensors\, and vi rtual sensor arrays) are individual sensors that are designed with several independent responses and operate as the first-order analytical instrumen ts. We will present results from our and other research teams that demonst rate three-dimensional\, four-dimensional\, and even five-dimensional disp ersion of individual sensors\, differentiation of complex odors and closel y related volatiles\, and quantification of analytes in mixtures. Next we will discuss recent reported methodologies to improve stability of multiva riable sensors. Design principles of electrical and photonic types of firs t-order sensors open opportunities for diverse emerging monitoring applica tions that cannot afford relatively high electrical power demands\, relati vely high instrument acquisition cost\, and frequent periodic maintenance\ , typical of traditional analytical instruments.\n\nRoom: E4038\, Bldg: El ectrical & Electronic Engineering\, Stellenbosch University\, Stellenbosch \, Western Cape\, South Africa\, 7600\, Virtual: https://events.vtools.iee e.org/m/570141 LOCATION:Room: E4038\, Bldg: Electrical & Electronic Engineering\, Stellenb osch University\, Stellenbosch\, Western Cape\, South Africa\, 7600\, Virt ual: https://events.vtools.ieee.org/m/570141 ORGANIZER:taskeen@sun.ac.za SEQUENCE:139 SUMMARY:Hardware–Analytics Co-Design for Trust-Enhanced Gas Sensing URL;VALUE=URI:https://events.vtools.ieee.org/m/570141 X-ALT-DESC:Description: <br /><p>It is conventionally expected that the per formance of existing gas sensors may degrade in the field compared to labo ratory conditions because (i) a sensor may lose its accuracy in the presen ce of chemical interferences and (ii) variations of ambient conditions ove r time may induce sensor-response fluctuations (i.e.\, drift). Breaking th is status quo in poor sensor performance requires understanding the origin s of design principles of existing sensors and bringing new principles to sensor designs. Existing gas sensors are singleoutput (e.g.\, resistance\, electrical current\, work function\, light intensity) sensors\, also know n as zero-order sensors. Any zero-order sensor is undesirably affected by variable chemical background and sensor drift that cannot be distinguished from the response to an analyte. &nbsp\;In this lecture\, we will demonst rate that to address these limitations\, multivariable gas sensors are eme rging as the next generation reliable analytical devices.</p>\n<p>Multivar iable gas sensors (also known as intelligent sensors\, multiparameter sens ors\, high-order sensors\, and virtual sensor arrays) are individual senso rs that are designed with several independent responses and operate as the first-order analytical instruments. &nbsp\;We will present results from o ur and other research teams that demonstrate three-dimensional\, four-dime nsional\, and even five-dimensional dispersion of individual sensors\, dif ferentiation of complex odors and closely related volatiles\, and quantifi cation of analytes in mixtures. &nbsp\;Next we will discuss recent reporte d methodologies to improve stability of multivariable sensors. Design prin ciples of electrical and photonic types of first-order sensors open opport unities for diverse emerging monitoring applications that cannot afford re latively high electrical power demands\, relatively high instrument acquis ition cost\, and frequent periodic maintenance\, typical of traditional an alytical instruments.&nbsp\;</p> END:VEVENT END:VCALENDAR