BEGIN:VCALENDAR
VERSION:2.0
PRODID:IEEE vTools.Events//EN
CALSCALE:GREGORIAN
BEGIN:VTIMEZONE
TZID:Asia/Kolkata
BEGIN:STANDARD
DTSTART:19451014T230000
TZOFFSETFROM:+0630
TZOFFSETTO:+0530
TZNAME:IST
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BEGIN:VEVENT
DTSTAMP:20260423T182853Z
UID:8A824E4E-FE7C-4820-BF5F-CC37A6688CF6
DTSTART;TZID=Asia/Kolkata:20260811T140000
DTEND;TZID=Asia/Kolkata:20260812T170000
DESCRIPTION:This event is a 2-Day Hands-on Technical Workshop on Air Qualit
 y Monitoring using the MQ Gas Sensor and ESP32 Microcontroller\, organized
  under the IEEE Women in Engineering (WIE) Student Affinity Group\, JSS Un
 iversity\, Noida.\n\nThe workshop is designed to provide 45–50 undergrad
 uate students with practical exposure to embedded systems\, IoT sensor int
 egration\, and real-world environmental monitoring applications.\n\nPartic
 ipants will build a functional air quality monitoring device from scratch\
 , gaining skills in circuit assembly\, ESP32 programming\, sensor interfac
 ing\, and IoT-based data visualization. The session aims to bridge the gap
  between classroom theory and industry-relevant practice while fostering i
 nnovation\, teamwork\, and problem-solving skills.\n\nThe training program
  focuses on hands-on learning and real-time implementation\, enabling part
 icipants to understand the complete development cycle of a smart environme
 ntal monitoring system.\n\nIn addition\, participants will gain exposure t
 o sensor calibration techniques\, data accuracy handling\, and basic troub
 leshooting methods used in real-world IoT systems. The workshop will also 
 introduce cloud-based data monitoring and visualization concepts\, helping
  students understand how environmental data can be tracked and analyzed re
 motely.\n\nStudents will work in teams to encourage collaborative learning
  and peer-to-peer knowledge sharing\, while also improving their technical
  communication and project presentation skills. The session will emphasize
  practical problem-solving approaches and design thinking\, preparing part
 icipants for industry-level challenges.\n\nBy the end of the workshop\, pa
 rticipants will have developed a working prototype\, along with a clear un
 derstanding of how embedded systems and IoT technologies can be applied to
  solve real-world environmental issues.\n\nAgenda: \n• Introduction to E
 SP32 microcontroller\, Arduino IDE\, and embedded systems basics\n• Work
 ing principle and interfacing of MQ Gas Sensors\n• Circuit design\, wiri
 ng\, calibration\, and sensor data acquisition\n• Real-time coding\, deb
 ugging\, and IoT dashboard integration\n• Team-based mini project develo
 pment on smart air quality monitoring systems\n• Prototype testing\, per
 formance analysis\, and result interpretation\n• Project showcase and de
 monstration session\n\nRoom: 113\, Bldg: AB-3 \, C-Block\, Phase 2 Sector 
 62\, Noida\,201301\, NOIDA\, Uttar Pradesh\, NOIDA\, Uttar Pradesh\, India
 \, 201301
LOCATION:Room: 113\, Bldg: AB-3 \, C-Block\, Phase 2 Sector 62\, Noida\,201
 301\, NOIDA\, Uttar Pradesh\, NOIDA\, Uttar Pradesh\, India\, 201301
ORGANIZER:wiejssun@gmail.com
SEQUENCE:50
SUMMARY:Expert Talk 2026 | AirSense: Build Smart Sensors with ESP32 by IEEE
  WIE SB JSSUN
URL;VALUE=URI:https://events.vtools.ieee.org/m/556766
X-ALT-DESC:Description: &lt;br /&gt;&lt;p data-start=&quot;126&quot; data-end=&quot;355&quot;&gt;This event
  is a &lt;strong data-start=&quot;142&quot; data-end=&quot;255&quot;&gt;2-Day Hands-on Technical Wor
 kshop on Air Quality Monitoring using the MQ Gas Sensor and ESP32 Microcon
 troller&lt;/strong&gt;\, organized under the IEEE Women in Engineering (WIE) Stu
 dent Affinity Group\, JSS University\, Noida.&lt;/p&gt;\n&lt;p data-start=&quot;357&quot; dat
 a-end=&quot;548&quot;&gt;The workshop is designed to provide &lt;strong data-start=&quot;393&quot; d
 ata-end=&quot;425&quot;&gt;45&amp;ndash\;50 undergraduate students&lt;/strong&gt; with practical 
 exposure to embedded systems\, IoT sensor integration\, and real-world env
 ironmental monitoring applications.&lt;/p&gt;\n&lt;p data-start=&quot;550&quot; data-end=&quot;900
 &quot;&gt;Participants will build a functional air quality monitoring device from 
 scratch\, gaining skills in &lt;strong data-start=&quot;649&quot; data-end=&quot;742&quot;&gt;circui
 t assembly\, ESP32 programming\, sensor interfacing\, and IoT-based data v
 isualization&lt;/strong&gt;. The session aims to bridge the gap between classroo
 m theory and industry-relevant practice while fostering innovation\, teamw
 ork\, and problem-solving skills.&lt;/p&gt;\n&lt;p data-start=&quot;902&quot; data-end=&quot;1092&quot;
 &gt;The training program focuses on hands-on learning and real-time implement
 ation\, enabling participants to understand the complete development cycle
  of a smart environmental monitoring system.&lt;/p&gt;\n&lt;p data-start=&quot;1094&quot; dat
 a-end=&quot;1448&quot;&gt;In addition\, participants will gain exposure to &lt;strong data
 -start=&quot;1142&quot; data-end=&quot;1234&quot;&gt;sensor calibration techniques\, data accurac
 y handling\, and basic troubleshooting methods&lt;/strong&gt; used in real-world
  IoT systems. The workshop will also introduce &lt;strong data-start=&quot;1300&quot; d
 ata-end=&quot;1358&quot;&gt;cloud-based data monitoring and visualization concepts&lt;/str
 ong&gt;\, helping students understand how environmental data can be tracked a
 nd analyzed remotely.&lt;/p&gt;\n&lt;p data-start=&quot;1450&quot; data-end=&quot;1784&quot;&gt;Students w
 ill work in teams to encourage &lt;strong data-start=&quot;1491&quot; data-end=&quot;1552&quot;&gt;c
 ollaborative learning and peer-to-peer knowledge sharing&lt;/strong&gt;\, while 
 also improving their &lt;strong data-start=&quot;1581&quot; data-end=&quot;1640&quot;&gt;technical c
 ommunication and project presentation skills&lt;/strong&gt;. The session will em
 phasize &lt;strong data-start=&quot;1669&quot; data-end=&quot;1729&quot;&gt;practical problem-solvin
 g approaches and design thinking&lt;/strong&gt;\, preparing participants for ind
 ustry-level challenges.&lt;/p&gt;\n&lt;p data-start=&quot;1786&quot; data-end=&quot;2006&quot;&gt;By the e
 nd of the workshop\, participants will have developed a &lt;strong data-start
 =&quot;1849&quot; data-end=&quot;1870&quot;&gt;working prototype&lt;/strong&gt;\, along with a clear un
 derstanding of how embedded systems and IoT technologies can be applied to
  solve real-world environmental issues.&lt;/p&gt;&lt;br /&gt;&lt;br /&gt;Agenda: &lt;br /&gt;&lt;p&gt;&amp;b
 ull\; Introduction to ESP32 microcontroller\, Arduino IDE\, and embedded s
 ystems basics&lt;br data-start=&quot;1684&quot; data-end=&quot;1687&quot;&gt;&amp;bull\; Working princip
 le and interfacing of MQ Gas Sensors&lt;br data-start=&quot;1740&quot; data-end=&quot;1743&quot;&gt;
 &amp;bull\; Circuit design\, wiring\, calibration\, and sensor data acquisitio
 n&lt;br data-start=&quot;1809&quot; data-end=&quot;1812&quot;&gt;&amp;bull\; Real-time coding\, debuggin
 g\, and IoT dashboard integration&lt;br data-start=&quot;1872&quot; data-end=&quot;1875&quot;&gt;&amp;bu
 ll\; Team-based mini project development on smart air quality monitoring s
 ystems&lt;br data-start=&quot;1952&quot; data-end=&quot;1955&quot;&gt;&amp;bull\; Prototype testing\, pe
 rformance analysis\, and result interpretation&lt;br data-start=&quot;2023&quot; data-e
 nd=&quot;2026&quot;&gt;&amp;bull\; Project showcase and demonstration session&lt;/p&gt;
END:VEVENT
END:VCALENDAR