Tiny Edge Machine Learning: Challenges and Opportunities for IoT Applications

Thursday 30 September, Online

Organizers: The Hashemite University & The University of Leeds

About the workshop

About The Workshop

The aim of this workshop is to spotlight the capabilities of the low-performance edge SN controllers by using lightML (TinyML) algorithms in order to reduce the expected congestion and capital expenditure of the IoT infrastructure, especially in the Agritech applications. In the context of smart-farming and water-management in Jordan, this will ensure that IoTAg is inclusive to reach not only the high-tech farming industry but also the small/medium size poor farmers. To ensure the feasibility and efficiency of the proposed solutions, we will try to build a minimum viable product solution by doing a comparative in-lab study of the available microcontrollers in the market. This will build on our ongoing projects in smart agriculture to ensure that the deployed edge IoT solutions will utilize the very best low-performance microcontrollers that will add a minimal footprint on the communication networks latency and sensor's age of information.

Where

Due to the uncertainity around the pandemic, this wokshop will be fully virtual (online).

When

Thursday 30 September 2021, Online

Workshop organizers

Organized by the Hashemite University and University of Leeds.

Organizer 1

Chair: Ali Hayajneh

The Hashemite University
University of Leeds

Organizer 2

Haitham Obiedollah

The Hashemite Universtiy

Organizer 3

Syed Ali Raza Zaidi

The University of Leeds

Event Speakers

This year we have top academic and industrial speakers.

Speaker 1

Fawwaz Abdulhaq

The Hashemite University, The University President

Speaker 4

Shane McHugh

Royal Academy of Engineering, Head of International Partnerships

Speaker 3

Awni Itradat

The Hashemite University, Dean of Faculty of Engineering

Speaker 2

Ali Hayajneh

The Hashemite University

Speaker 2

Abeer Albashiti

Larimar

Speaker 4

Massimo Merenda

Università Mediterranea di Reggio Calabria

Organizer 3

Syed Ali Raza Zaidi

The University of Leeds

Speaker 6

Maryam Hafeez

Univeristy of Huddersfield

Event Schedule

Here is our event schedule

Theme: Key Enabling Technologies for Tiny Machine Learning


Alistair Munro

Welcome Ali Hayajneh

Openning


Alistair Munro

Welcome Fawwaz Abdulhaq

President of the Hashemite University welcomming speech


Adnan Aijaz

Talk Shane McHugh, Royal Academy of Engineering, Head of International Partnerships

TBA


Awni Itradat

Talk Awni Itradat

TBA


Adnan Aijaz

Talk Massimo Merenda

Tiny Machine Learning on low-cost microcontrollers


Guodong Zhao
Yusuf Sambo

Talk Ali Zaidi and Maryam Hafeez

Sensing the Pulse of a City: Practical Consideration For IoT Deployments & Role Of ML at the Edge


Alejandrin Littel

Talk Industry:Abeer AlBashiti

Emotion AI: The journy of Larimar through RAE windows

Joining Details

Zoom meeting link will be snt to you after the registration on the Zoom registration link as follows.


Workshop Zoom meeting link

Hands-on Machine Learning

We will be announcing details of the touturial soon. Keep an eye on this space to find more about software requirements.

Sponsors

F.A.Q

Register Now

Registration form for the Workshop.

There are a limited number of places for this event. If you are interested in attending the workshop, please complete the application form below before 30th Sep 2021.