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MINZ 2016

Mathematics in Industry for NZ

The combined power of New Zealand’s best and brightest mathematical scientists was engaged in solving significant business challenges at New Zealand’s second annual Mathematics-in-Industry NZ event, 4th – 8th July 2016 at Victoria University, Wellington.

Successfully implemented in about 20 countries worldwide, these intensive week-long workshops offer a collaborative environment to solve problems arising in industry. Scientists participate from a range of mathematical disciplines such as dynamical systems, statistics, and operational research.

This unconventional model sees companies paying $6000 each up-front for the rare opportunity to have their meatiest challenges tackled by mathematicians from across the country.

New Zealand businesses that participated in 2016, include:

  • NZ Steel – Improving how the steel finishing rolling through modellingMINZ1
  • Compac Sorting Equipment Estimating the weight of a moving article across multiple weigh points
  • Transpower –Understanding how home solar electrical generation affects the national grid.
  • Fonterra – Predicting the length of time milk powders can be stored in elevated temperatures and humidity
  • Zespri – Predicting fruit quality in the supply chain from harvest to market.

This year a new dimension was been added with representatives from Japan’s Institute of Mathematics in Industry in Kyushu attending MINZ, and NZ mathematicians joining Japan’s Study Group week later in July.  This has come about with funding from the NZ Royal Society and the Japan Society for the Promotion of Science.  We also had a challenge from the Japan Agency for Marine-Earth Science and Technology entitled
Jamstec – Smoother probabilistic distributions in climate prediction models.

The New Zealand event is championed by Professor Emeritus Graeme Wake of Mathematics-in-Industry New Zealand (MINZ), who co-Directed the workshop with Professor Mark McGuinness from Wellington. Professor Wake has been involved in the concept since his time as a Postdoctoral Fellow in Oxford where it was first launched. Professor Wake is passionate about the impact of applied mathematics noting, “These events are often the launch pad for long term partnerships between mathematicians and businesses, powering up innovation within industry”.

The event was opened by government Minister Hon. Steve Joyce and Pro-VC Science VUW Mike Wilson (seated above, with co-Director, Professor Emeritus Graeme Wake), and had invited speakers Professor Andrew Fowler from Limerick/Oxford Universities, Dr Mary Quinn CEO of Callaghan Innovation, and Japanese Ambassador to NZ: His Excellency Toshihisa Takata (pictured, on right). MINZ2

Compac is a keen supporter of the concept, having seen the power of Mathematics in Industry in action. Compac’s R&D Manager, Nigel Beach comments, “The support of the math group helped us transform how we sort products into fixed weight packaging. This avenue was fast, effective and productive for our team”.

Global dairy giant, Fonterra, has been involved in several Mathematics-in-Industry events in Australia. Fonterra’s Calibration Technologist, Jo Simpson comments, “The support of the math group increased our confidence that the procedures we have in place met or exceeded international best practice. This event is an efficient process to have a large group of experts looking at a specific industry issue.”

New Zealand mathematicians and businesses have previously taken part in joint events run by the Australia and New Zealand Industrial Applied Mathematics (ANZIAM). Professor Wake comments, “Kiwi businesses have previously had to travel across the Tasman to participate in these events, but now we are running this event right in our back yard.”

This year’s MINZ initiative was supported by the Centre for Mathematics-in-Industry in Massey University, ANZIAM (A/NZ Industrial and Applied Mathematics Group), KiwiNet (NZ’s national network of Universities and Crown Research Institutes and Entities), New Zealand Mathematical Society and Victoria University where the event is being held.

Dr Bram Smith (pictured), General Manager of the Kiwi Innovation Network (KiwiNet) believes the model is highlyMINZ3 compelling. Smith comments, “There is a wealth of world leading mathematics and statistical capability in Universities and Crown Research Entities across New Zealand that are hungry to solve industry problems. It’s great to see mathematicians working together to provide this creative new approach to drive business innovation”.

More than 100 mathematicians, a number of whom were postgraduate students participated. A summary and technical report will be prepared with aim of future publication in the ANZIAM Journal Series E.

“Mathematics-in-Industry is an extremely powerful and effective initiative to solve industry challenges. It enables businesses to focus on operations and lets mathematicians focus on what they do best – solve industry problems” notes Professor Graeme Wake. “NZ will benefit immensely from the greater use of clever mathematics in these organisations”.

To see more information, visit www.minz.org.nz

Seumas McCroskery
Innovation Manager, KiwiNet
Mobile: +64 (0) 21 617 752
Email: seumas@kiwinet.org.nz

MINZ 2015

Mathematics in Industry for NZ

More than 100 of New Zealand’s mathematical scientists met in Auckland in late June and early July 2015 to use mathematics and statistics to solve industry problems. A week-long workshop was held as a way for companies to pitch their problems to people from around the region who then worked collaboratively to generate practical solutions through modelling, statistical analysis or computation.

Companies to attend the event included white ware manufacturer Fisher and Paykel who wanted to optimize the operation of their clothes dryer, fresh produce packing company Compac Sorting wanting a solution to a calibration issue with their spectroscopic systems and start-up crime prevention company Eyedentify needing to improve their crime prevention algorithms. Others in attendance presenting problem challenges were dairy giant Fonterra, national grid operator Transpower and farm management group Livestock Improvement Corporation. For more see http://www.minz.org.nz

Event organiser Professor Emeritus Graeme Wake says the first workshop was a success with the teams reporting excellent progress at the end of the week. “More work will be required to complete the solutions but follow-on discussions are already being planned” Professor Wake says.

The collaborative groups transform how industries see and approach problems. It’s a fast, effective and productive avenue for them to use.  Further the large number of postgraduate students present had hands-on experience of handling industry and community based problems using mathematics and statistics.

Other contributors to the workshops include the NZ Mathematical Society, Callaghan Innovation, the ANZ Industrial and Applied Mathematics Group, KiwiNet, Te Pūnaha Matatini – a Centre of Research Excellence in Complex Systems and Networks, ANZ Industrial and Applied Mathematics group and the Mathematical Sciences Group of AUT University.

Coverage from the week-long event is in various media. KiwiNet, who partnered running the event with Massey University, provided short videos on Youtube, see https://www.youtube.com/channel/UCBdlFHZ1WA4kiy3WQABUGjA

Also providers like Callaghan Innovation have posted blogs, see https://callaghaninnovation.wordpress.com/2015/07/15/reaching-critical-maths/

 

Pictured are the invited speakers (except Professor Shaun Hendy, University of Auckland who was absent at the time), from left: Dr Maria Bruna (University of Oxford, UK), Professor Emeritus Graeme Wake (Director of the event), Hon Ruth Richardson (Chair of KiwiNET) who opened MINZ-SG, and Dr Boris Baeumer (Chair of the NZ Branch of ANZIAM and University of Otago).

Pictured are the invited speakers (except Professor Shaun Hendy, University of Auckland who was absent at the time), from left: Dr Maria Bruna (University of Oxford, UK), Professor Emeritus Graeme Wake (Director of the event), Hon Ruth Richardson (Chair of KiwiNET) who opened MINZ-SG, and Dr Boris Baeumer (Chair of the NZ Branch of ANZIAM and University of Otago).

 

Graeme Wake   g.c.wake@massey.ac.nz

 

R Meet Up

December 2016

Date and Time:

17:00 ~ 19:00
Thursday, 8st Dec 2016

Location:
Room G01 (SLT1),
Building 303 Science Building
38 Princes Street, The University of Auckland

Presentation 17:00~18:00

Presenter:       Ivan Rivera
Topic:                Anatomy of Text
Duration:        ~30 minutes
Abstract:     A brief overview of basic principles behind text analytics and a closer look at a number of popular NLP techniques.

Presenter:       Dr. John Graves
Topic:               Tensorflow for R in the Cloud
Duration:        ~30 minutes
Abstract:       Google’s Tensorflow (https://www.tensorflow.org/) has now been wrapped by the Tensorflow library from RStudio (https://github.com/rstudio/tensorflow). Google Cloud Machine Learning (https://cloud.google.com/ml/) allows you to stand up an instance of Tensorflow in the cloud. This talk pulls these capabilities together to show how you can train your own Tensorflow Deep Learning models using just your web browser and R code.

Networking 18:00~19:00

Refreshments will be provided after the presentation. Thanks to our sponsors: NZSA and Harmonic Analytics Ltd

Transportation,Car Park:

  • Paid off-street parking available on Princes Street
  • Bus stop on Alfred Street (in front of the Library). Please visit AT Page for public transport.

Enter the 303 building and look for signs advertising “Meetup”.

R Meet Up

August 2016

Date and Time:

17:00 ~ 19:00

Thursday, 18st Aug 2016

Location:

Room B09,

Building 303 Science Building

38 Princes Street, The University of Auckland

Presentation 17:00~18:00

Presenter:       Andrew Worsley

Topic:               R’s Collision Course with the Commercial World

Duration:         ~20 minutes

Abstract:         Pivotal events that have enhanced R’s commercial viability are presented along with thoughts on a robust and manageable deployment in this context. Communication of the benefits of R to decision makers is also discussed.

Presenter:       Dr Stefan Schliebs

Topic:               Delivering with R

Duration:         ~40 minutes

Abstract:         A data analysis is typically delivered through charts, reports, slides, dashboards, web pages and web applications. High-quality analytics deliverables can be conveniently produced using R. The talk covers RMarkdown, Shiny, shinydashboards, leaflet maps and D3 visualizations.

Networking 18:00~19:00:

Refreshments will be provided after the presentation. Thanks to our sponsors: NZSA and Harmonic Analytics Ltd

R Meet Up

April 2016

Big Data Processing in the Square Kilometre Array Project

Dr Andrew Ensor

Date and Time
16:30 ~ 18:00SKA1_AU_closeup_midres_original
Thursday, 21st April 2016
Location
MLT3, Room 101, Level 1
Building 303 Science Building
38 Princes Street, The University of Auckland

The Square Kilometre Array Project is the largest mega-science project of the next decade. It presents numerous computing challenges, particularly in its central signal processor that will process terabytes of incoming data every second, and in its science data processor with Exascale compute requirements. This talk will outline some of the Big Data challenges the Project faces and designs that seek to overcome the limitations of current technologies.

Dr Andrew Ensor is the Director of the High Performance Computing Research Laboratory at AUT University. His research interests include HPC and GPU computing, distributed and mobile system, algorithms, concurrency and computer graphics. Andrew is also the Director of the New Zealand Alliance, a group of over thirty NZ academic and industry partners working on the Exascale computer design for the Square Kilometre Array Project.

Refreshments will be provided after the presentation. Thanks to our sponsors: NZSA and Harmonic Analytics Ltd

  • Paid off-street parking available on Princes Street
  • Bus stop on Alfred Street (in front of the Library). Please visit AT Page for public transport.
  • Enter the 303 building and look for the Meetup signs Meetup

 

R Meet Up

September 2015

 

2015 September R Meet Up

Wednesday, Sep 9, 2015, 4:00 PM

SLT1 (Ground Floor Room 01)
38 Princes Street, The University of Auckland Auckland, NZ

72 Members Went

Dear members:Welcome to our second meet up in 2015. Instead of external speakers, as we usually have, this time we have two from our own group:We will start with Ian Shane Wong, a recent Uni graduate who found a start-up company called “Future Insight”. He will talk about the product “Simqly.com” and how R plays a part of it.Then, we have Andrew…

Check out this Meetup →

Auckland R Users Group: Machine Learning/Data Mining research at The University of Waikato

April 2015

Topic:  “Machine Learning/Data Mining research at The University of Waikato”

Presenter: Professor Bernhard Pfahringer

Date:  Wednesday, 8th April 2015

Location: Room B05, Building 303 Science Building, 38 Princes Street, The University of Auckland

Notice:  Meet Up 04-2015

Auckland R Users Group is pleased to announce the first meeting for  2015.  Professor Bernhard Pfahringer,  from The University of Waikato, will talk about Machine Learning and Data Mining.  Please note this is not exactly R related.  Bernhard and his research team uses WEKA:  http://www.cs.waikato.ac.nz/~ml/

Bernhard obtained his PhD (Computer Science) from Vienna University of Technology.  He is a committee/board member on numerous Machine Learning communities such as Editorial board member Machine Learning Journal.  And he will drive all the way from Hamilton!

Please find more details & RSVP on our home page http://www.meetup.com/Auckland-R-Users-Group-AKLRUG/ (Under More > Files)

Hope to see you at the meet up.

JieFu Yu

 

R Meet Up

July 2014

“Pipelines for data analysis”, Hadley Wickham

 

4-6pm
Friday, 15th July 2014
Room B05, Building 303 Science Building, University of Auckland

Over the last year and half, three things have had a profound impact on how I develop tools for data analysis: Rcpp, writing the advanced R book (http://adv-r.had.co.nz/) and the pipe operator (%>%, from magrittr). In this talk, I’ll focus on the pipe operator and how it’s influenced the development of tidyr, dplyr and ggvis, the next generation of reshape2, plyr and ggplot2. Come along to learn about why I think pipelines are awesome and see how pipelines + tidyr, dplyr, and ggvis can make your data analysis fast, fluent and fun.

More information: Meet Up 07-2014

R


Last Modified: Friday, 17th February 2017