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Price

$175

Event date and time

Thursday 27 - Friday 28 Mar 2025
Day 1: 8.30am to 5.30pm. Day 2: 8.30am to 3.35pm AEDT

Location

Symposium (Day 1) - Ian Wark Lecture Theatre, CSIRO, 1 Research Way, Clayton VIC. The location adjoins Monash University.
Day 2 - Lab Tours: CSIRO Clayton (start/end at Central Reception), Hands-On Session – Studio Room

CSIRO Cutting Edge Symposium

CSIRO Cutting Edge Symposium | Real-Time Control Decisions using Machine Learning for the Adaptive Control of Processes and Devices

Click the 'Register now' button if you will be attending the 'Real-Time Control Decisions using Machine Learning for the Adaptive Control of Processes and Devices' event on 27 March 2025 which includes early bird rates and discounted registration to the hands-on training session on 28 March 2025. A separate registration to attend the hands-on training session on 28 March 2025 only is available here.

Day 1 Agenda

0830-0840

Welcome and housekeeping

0840-0920

Opening address: How ML can assist with real-time control (Prof. Amanda Barnard, ANU)

0920-1000

Keynote Domain 1: Additive Manufacturing (Dr Stephen DeWitt, Oak Ridge National Laboratory)

1000-1040

Keynote Domain 2: Flow Chemistry (Prof. Richard Bourne, University of Leeds)

1040-1100

Morning tea

1100-1140

Keynote Domain 3: Robotics (Prof. Michael Milford, Queensland University of Technology)

1140-1220

Keynote Domain 4: Energy (Dr Jan Drgona, Pacific Northwest National Laboratory)

1220-1300

Keynote Domain 5: Space/Aerospace (Dr Nick Mule, Boeing US)

1300-1340

Lunch & poster viewing @ Robert Leicester Room

1340-1420

Poster pitches by ECRs (3 minutes each)

1420-1500

Keynote ML: In-depth case study on ML-assisted real-time control (TBC)

1500-1540

Facilitated group discussions on identifying issues + developing of roadmap

1540-1600

Coffee/tea break

1600-1700

Continuation: Facilitated group discussions on identifying issues + developing of roadmap

1700-1720

Pitches by 1x Platinum + 2x Gold + 1 x Cocktail Sponsors (5 minutes each)

1720-1730

Closing remarks + giving away 3 prizes ($500, $300, $200) to ECRs for posters

1730 onwards

Cocktails + networking

Day 2

Hands-on training

Friday 28 March 2025, 8.30am to 11.30am AEDT
Presented by Jan Drgona, Pacific Northwest National Lab (USA).

Jan will be presenting our scientific machine learning library called Neuromancer.

Neural Modules with Adaptive Nonlinear Constraints and Efficient Regularizations (NeuroMANCER) is an open-source differentiable programming (DP) library for solving parametric constrained optimization problems, physics-informed system identification, and parametric model-based optimal control. NeuroMANCER is written in PyTorch and allows for systematic integration of machine learning with scientific computing for creating end-to-end differentiable models and algorithms embedded with prior knowledge and physics.

Hands-on training $25 with Symposium registration. Separate registration to attend the hands-on training session on 28 March 2025 only is available here.

Lab tours

Friday 28 March 2025, 35 minutes each. All tours to start and end at Central Reception.

  • Lab 22 (Additive Manufacturing) - 12.00pm to 12.35pm AEDT
  • FloWorks (Flow Chemistry) - 12.45pm to 1.20pm AEDT
  • Industry 4.0 lab - 1.30pm to 2.05pm AEDT
  • Energy lab - 2.15pm to 2.50pm AEDT
  • Quantum Tunnel - 3.00pm to 3.35pm AEDT

Pricing

  • Symposium - Early Bird

    Includes catering and cocktails. Expires 31 January 2025

    $175

  • Symposium ECR - Early Bird

    Includes catering and cocktails. Proof of ECR status required at check-in. Expires 31 January 2025

    $125

Dates and Times

Event date: Mar 2025

27 March - 28 March 2025

Symposium (Day 1) - Ian Wark Lecture Theatre, CSIRO, 1 Research Way, Clayton VIC. The location adjoins Monash University.

Day 1: 8.30am to 5.30pm. Day 2: 8.30am to 3.35pm AEDT

Day 2 - Lab Tours: CSIRO Clayton (start/end at Central Reception), Hands-On Session – Studio Room
Get Directions

More information

Platinum Partner

NEC

Gold Partner 1

Leap | Ansys Elite Channel Partner

Gold Partner 2

Cradle | MSC Software | Hexagon

Partners

Simuserv services software support

Venue

Ian Wark Lecture Theatre, CSIRO Clayton VIC. The location adjoins Monash University

Public transport options: Delegates may catch Bus Route 703 to Monash University from the Syndal Railway Station or Bus Routes 601 or 630 from the Huntingdale Station to Monash University.

Taxi and Uber set down spot/s are outside Central Reception.

Accommodation

For those attending the symposium, there are a variety of accommodation options available near the venue and in the Melbourne CBD. The following hotels have partnered with us to provide special discounted rates for symposium delegates.

PARKROYAL MONASH MELBOURNE

4-star hotel near the venue

Located in: M-City Shopping Centre
Address: 872 Blackburn Rd, Clayton VIC 3168
Phone: (03) 9518 8888

Registration link: TBA

$330/night in Superior room with breakfast for 1 guest + $30 additional guest

NOVOTEL MELBOURNE CENTRAL

4-star hotel in Melbourne CBD

Address: 399 Little Lonsdale St, Melbourne VIC 3000
Phone: (03) 99298888

Registration: 12% Discount (book by 24 March)

ibis MELBOURNE CENTRAL

4-star hotel in Melbourne CBD

Address: 399 Little Lonsdale St, Melbourne VIC 3000
Phone: (03) 99298888

Registration: 12% Discount (book by 24 March)

THE LANGHAM, MELBOURNE

5-star hotel in Melbourne CBD

Located in: Southgate
Address: 1 Southgate Ave, Southbank VIC 3006
Phone: (03) 8696 8888

Registration: To book, send an email to: tlmel.groupreservations@langhamhotels.com or tlmel.resv@langhamhotels.com mentioning group rate code CSI032625

$330/NIGHT IN Superior Room with breakfast for 1 guest + $30 additional guest

Privacy

When registring to attend this event you will be asked to consent to your name and email address being shared with other symposium participants and sponsors. Please note the following conditions:

  • The partners receiving the information may have headquarters located overseas (e.g., USA, Japan). Therefore, by consenting to this possible disclosure, you accept that the information may no longer be subject to the Australian Privacy Act (including the Australian Privacy Principles) or other relevant Australian laws.
  • For further information on how CSIRO handles your personal information and our access, correction and complaints process please read our Privacy Policy available on our website or contact the CSIRO Privacy Officer at privacy@csiro.au.