Spring school: Smart Sensors, ML and AI: Remote Monitoring during Challenging times

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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
  • Add_To_Calendar_icon 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

Topic:

Title: Smart Sensors, ML and AI: Remote Monitoring during Challenging times

The plan of Day#1:

 

September 19, 2022

(Room: Via zoom)

Time

Name

Affiliation

Tentative Title

2:0pm to 2:15pm

Prof. Subhas Mukhopadhyay

DL, IEEE SC

Macquarie University

Introduction of IEEE Sensors Council and the Spring School

2:15pm to 3:0pm

Prof. Subhas Mukhopadhyay

DL, IEEE SC

Macquarie University

Smart sensors and IoT for Health, City and Environmental Monitoring

3:0pm to 4:0pm

Prof. Arokia Nathan

DL, IEEE SC

University of Cambridge

Cambridge, United Kingdom

 

Ultra Low Power Sensor Interfaces for IoT

 

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

5:0pm to 6:0pm

Prof. Boby George

AE, IEEE SJ

IIT Madras, Chennai,

India

Smart Electronic Interfacing Circuits for Capacitive Sensors

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

7:0pm to 8:0pm

Prof. Pantelis Georgiou

DL, IEEE SC
Imperial College London, UK

Microchip Technology enabling Rapid Diagnostics for Infectious Diseases – From AMR to COVID-19

 

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

 

 

Topic:

Smart Sensors, ML and AI: Remote Monitoring During Challenging Times

The Day#2

September 20, 2022

(Room: 9WW 234/235/237, School of Engineering, Macquarie University)

Time

                                Activities

                                          Morning Tea break 9:30am to 10:0am

 

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.

                                          Lunch break 12:00pm to 1:0pm

 

10pm to 2:30pm

Uploading data to cloud using LoRa and WiFi. Development of API.

                                          Afternoon Tea break 2:30pm to 3:0pm

 

3:0pm to 4:0pm

Data Visualization and Machine learning