Conference Programme

A provisional programme for the event is shown below.

Tuesday 27 August 2019

4:00 PM

Main Conference Registration

6:00 PM

Welcome Reception

7:45 PM

End of reception

Wednesday 28 August 2018

8:00 AM

Registration

8:20 AM

Welcome

8:30 AM

Plenary 1 (one hour)

09:30 AM

Coffee and Tea break

10:00 AM

Session 1: 6 papers in 2 tracks

12:00 PM

Lunch

1:00 PM

Plenary 2 (one hour)

2:00 PM

Coffee and Tea break

2:20 PM

Session 2: 5 papers in 2 tracks

4:00 PM

Coffee and Tea break

4:15 PM

Plenary 3 (45min)

5:00 PM

Final remarks

5:10 PM

Coffee and Tea served

5.30 PM

Evening lecture on topic to be announced

Thursday 29 August 2019

8:00 AM

Registration

 

 

8:30 AM

Plenary 4 (45 min)

09:30 AM

Coffee and Tea break

10:00 AM

Session 3: 6 papers in 2 tracks

12:00 PM

Lunch

1:00 PM

Posters session: 5min x 12

2:00 PM

Coffee and Tea break

2:20 PM

Session 4: 5 papers in 2 tracks

4:00 PM

Coffee and Tea break

4:15 PM

Plenary 6 (60 min)

5:00 PM

Final remarks

5:10 PM

Coffee and Tea served

7:00 PM

Banquet Dinner

Friday 30 August 2019

8:00 AM

Registration

 

 

8:30 AM

Plenary 4 (45 min)

09:30 AM

Coffee and Tea break

10:00 AM

Session 3: 6 papers in 2 tracks

12:00 PM

Lunch

1:00 PM

Posters session: 5min x 12

2:00 PM

Coffee and Tea break

2:20 PM

Session 4: 5 papers in 2 tracks

4:00 PM

Coffee and Tea break

4:15 PM

Plenary 6 (60 min)

5:00 PM

Final remarks

5:30 PM

Closing and Prize Giving

Social Programme

Welcome Reception: 27 August 2019 (18:00)

Participants and their registered accompanying persons are invited to attend a Welcome Reception at a venue to be announced.

Conference Banquet: 29 August 2019 (19:00)

Participants and their registered accompanying persons are invited to attend the banquet dinner at a venue to be finalised.

 

Workshop Programme

The workshops to be held on 26th and 27th of August will focus on Modern Data Analytics for Control in Minerals Processing”. It will be a hands-on workshop with participants developing their own control solutions.

On day one, participants will use familiar data analytics methods to infer the key performance measure of a simulated mineral processing circuit. On day two this inferred performance measure will be integrated into a controller to stabilise / optimise the performance of the simulated circuit.