Spring school: Smart Sensors, ML and AI: Remote Monitoring during Challenging times
The main focus of 2022 IEEE sensors council's spring school is on smart sensors based remote monitoring which includes health, city and environmental parameters. The lectures will concentrate on the applications of different sensors as well as intelligent computing (machine learning and AI) and applications of internet of things. The first day will have a series of lectures on the research trends of sensor, machine learning, artificial intelligence and internet of things today and in the future. The 2nd day will be on hands-on experimental activities where the participants will make IoT based system starting from sensors, interfacing to embedded processor, wireless communication, uploading data to cloud, data visualization and machine learning. The 2022 IEEE sensors council's spring school, to be held on September 19-20, 2022 and will be hosted by School of Engineering, Macquarie University, Sydney, Australia.
Date and Time
Location
Hosts
Registration
- Date: 19 Sep 2022
- Time: 02:00 PM to 09:00 PM
- All times are (UTC+10:00) Sydney
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Add Event to Calendar
Please note that the Day 1 is on 19th September is via zoom.
Day 2 is hands on activities and will be at Macquarie University campus.
Time: Sep 19, 2022 02:00 PM Canberra, Melbourne, Sydney
Join from a PC, Mac, iPad, iPhone or Android device:
Please click this URL to start or join: https://macquarie.zoom.us/j/83659079311
Join from dial-in phone line:
Dial: +61 2 8015 2088
Meeting ID: 836 5907 9311
International numbers available: https://macquarie.zoom.us/u/keo9ZPXEUK
Join from a H.323/SIP room system:
Dial: SIP:83659079311@zmau.us
or 103.122.166.55
Meeting ID: 836 5907 9311
- 9 WW 234/235/237
- Sydney, New South Wales
- Australia 2109
- Building: 9WW
- Co-sponsored by Prof. Subhas Mukhopadhyay
- Starts 12 July 2022 01:23 AM
- Ends 15 September 2022 01:23 PM
- All times are (UTC+10:00) Sydney
- No Admission Charge
Speakers
Title: Smart Sensors, ML and AI: Remote Monitoring during Challenging times
The plan of Day#1:
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September 19, 2022 (Room: Via zoom) |
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Time |
Name |
Affiliation |
Tentative Title |
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2:0pm to 2:15pm |
Prof. Subhas Mukhopadhyay |
DL, IEEE SC Macquarie University |
Introduction of IEEE Sensors Council and the Spring School |
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2:15pm to 3:0pm |
Prof. Subhas Mukhopadhyay |
DL, IEEE SC Macquarie University |
Smart sensors and IoT for Health, City and Environmental Monitoring |
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3:0pm to 4:0pm |
Prof. Arokia Nathan |
DL, IEEE SC University of Cambridge Cambridge, United Kingdom
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Ultra Low Power Sensor Interfaces for IoT
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4:0pm to 5:0pm |
Prof. Sanket Goel |
AE, IEEE SJ BITS Pilani Hyderabad, India |
IoT and ML Enabled Multiplexed Platform for Onsite Measurement of Water Quality Indicators |
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5:0pm to 6:0pm |
Prof. Boby George |
AE, IEEE SJ IIT Madras, Chennai, India |
Smart Electronic Interfacing Circuits for Capacitive Sensors |
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6:0pm to 7:0pm |
Prof. Maryam Shojaei |
DL, IEEE SC IIT-Bombay, Powai, Mumbai, India |
Sub-100 ppm Auto-calibrated Fiftyfold Range Resistive Sensor Measurement ASIC and System |
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7:0pm to 8:0pm |
Prof. Pantelis Georgiou |
DL, IEEE SC |
Microchip Technology enabling Rapid Diagnostics for Infectious Diseases – From AMR to COVID-19
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8:0pm to 9:0pm |
Prof. Thomas Thundat |
DL, IEEE SC Empire Innovation Professor University at Buffalo NY, USA |
Delivering Electrical Power to Distributed MEMS Sensors for Battery-free Operation
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Smart Sensors, ML and AI: Remote Monitoring During Challenging Times
The Day#2
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September 20, 2022 (Room: 9WW 234/235/237, School of Engineering, Macquarie University) |
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Time |
Activities |
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Morning Tea break 9:30am to 10:0am
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10:00am to 12:00pm |
Basic introduction of IoT project. Arduino & Raspberry pi setup and programming it for sensor interfacing. Inter device communication and transmission of data. |
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Lunch break 12:00pm to 1:0pm
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10pm to 2:30pm |
Uploading data to cloud using LoRa and WiFi. Development of API. |
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Afternoon Tea break 2:30pm to 3:0pm
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3:0pm to 4:0pm |
Data Visualization and Machine learning |