Workshop on Time Series Analysis

22-24 November, 2022

The University of Auckland, Grafton Campus

The workshop aims at mathematicians, physiologists, engineers and scientists who are not expert in time-series analysis and will provide theoretical background as well as hands-on experience.

You will learn how to detect oscillations, discern determinism from seemingly noisy data and infer interactions and couplings between oscillatory processes.

Attendees will have the opportunity to analyse their own signals. A toolbox MODA (Multiscale Oscillatory Dynamics Analysis, will be introduced and guidance on how to use it will be provided.

Our invited speakers include Prof Aneta Stefanovska,  Lancaster University, UK, Prof Peter McClintock, Lancaster University, UK, and Associate Professor Jeffrey Hogan, the University of Newcastle, Australia.

See detailed program below.

Registration is free, however, the workshop is now at full capacity. You can still register your interest by filling in the form below and we will contact you if there is any cancellation. If you have questions, you can email the organisers directly:

New Zealand-based Students who live outside Auckland and wish to attend the workshop might be able to receive some financial support. Please write to the organisers (email: stating the title of your project, name of your supervisor and your university.


Detailed Program

Day 1, Tuesday, 22 November 2022:

9:30am   Registration, tea and coffee.

10:00am   Welcome and housekeeping (Dr Alona Ben-Tal).

10:10am   Motivation and overview of the workshop (Prof Aneta Stefanovska).

10:30am   3 min introduction by each attendee (what they do and what they hope to get from the workshop).

12:30pm   Lunch.

1:30pm   Introduction to frequency and time-frequency analysis (A/Prof Jeff Hogan).

2:30pm   Physiological signals in frequency and time-frequency domain with demonstrations in MODA (Multiscale Oscillatory Dynamics Analysis, (Prof Aneta Stefanovska).

3:30pm   Afternoon tea.

4:00pm   Tutorial 1: Case studies in MODA – Ridge extraction of instantaneous phases. Examples include instantaneous heart and respiration rates in awake state and with sevoflurane or propofol in humans.

6:00pm   Dinner – attendees on their own; if there is an interest, we can book a restaurant for a group in advance.

Day 2, Wednesday, 23 November 2022:

9:30am   Tea and coffee.

10:00am   More on wavelets and time-frequency analysis (A/Prof Jeff Hogan).

11:00pm   Coherence: basics and how to calculate it (Prof Aneta Stefanovska).

12:00pm   Lunch.

1:00pm   Time-series analysis of cardiovascular signals: normotension and treated hypertension (Prof Peter McClintock).

2:00pm   Tutorial 2: Case studies in MODA – Wavelet phase coherence. Examples include wavelet phase coherence between instantaneous heart and respiration rates in awake state and with sevoflurane or propofol in humans.      

3:30pm   Afternoon tea.

4:00pm   Practical work in MODA with attendees’ own signals. Various time series from physiological, fluid dynamics and physics-based origin will also be made available.

6:00pm   Conference Dinner – attendees will need to contribute towards the cost.

Day 3, Thursday, 24 November 2022:

9:30am   Tea and coffee.

10:00am   Detecting coupling between amplitudes and frequencies of oscillations: examples of cardiovascular and EEG signals (Prof Aneta Stefanovska).

11:00am   Surrogates for testing dynamical hypothesis (Prof Aneta Stefanovska).

12:00pm   Lunch.

1:00pm   The effect of temperature on the cardiovascular and respiratory system (Ms Juliane Bjerkan).

2:00pm   Tutorial 3: Case studies in MODA – Coupling strength and coupling functions. Examples include coupling between instantaneous heart and respiration amplitude/rates in awake state and with sevoflurane or propofol in humans.

3:30pm   Afternoon tea

4:00pm   Discussion and closing remarks.


28 Park Avenue, Grafton, Auckland, 1023.

Talks in Room 507-LG004.

Tutorials in Room 503-124.

Morning tea, lunch and afternoon tea near room 507-LG004.


Transportation and Local Attractions

We recommend traveling to the Grafton Campus by public transport. Building 503 is 5 min walk from Grafton Train Station and 20 min walk from Newmarket Train Station.   See time tables of trains and buses here.

Auckland Domain is across the road from Building 503 and Auckland Museum is 15 min walk through the Domain. Check out other atractions in Auckland here.

Thank you to our sponsors and partners

Insightful Modelling