Research Calendar

Upcoming events at Western Sydney University are listed below.

• Suggest a new event

• Apr 28
  Research Seminars - School of Medicine

  The School of Medicine Research Seminar Series will be held every Tuesday at 4.00pm via zoom.

  Conferences and seminars
  The School of Medicine Research Seminar Series will be held every Tuesday at 4.00pm via zoom.

  The School of Medicine warmly invites you to attend our weekly research seminars on Tuesday's at 4.00pm.

  Starting Tuesday, 28 April 2020, 4.00pm.

  PRESENTERS: Include HDR Students, SOM Academics and invited national and international speakers discussing their cutting-edge research.

  ZOOM INFO: ·https://uws.zoom.us/j/91764666589

  Tue, 28 Apr 2020 16:00:00 +1000
• Nov 30
  EMCR Network Event

  Come along to the EMCR Network event taking place on 30 November.

  academic events; Meetings; Online Events
  Academics A, B & C
  Come along to the EMCR Network event taking place on 30 November.

  Professor Deborah Sweeney (DVC REI) and Professor Kevin Dunn (PVC R) will be hosting the next EMCR Network event on the 30th November 2020. All EMCAs are encouraged to attend where discussions will be had about the University’s research plans for 2021, the new Researcher Development Framework and Implementation Plan, promotion planning; and sponsorship and mentorship. This will be followed by a Q&A session from staff members. To ensure all questions are considered, please feel free to send through questions before the meeting. To RSVP please email Judy Foster judy.foster@westernsydney.edu.au.

  Mon, 30 Nov 2020 14:30:00 +1100
• Dec 1
  White Paper "Depression, Co-Morbidity and Integrated Care"

  Invitation to the launch of the Western Sydney University White Paper "Depression, Co-Morbidity and Integrated Care"

  academic events; Conferences and seminars; Exhibitions and performances; Information sessions; Online Events
  All welcome
  Invitation to the launch of the Western Sydney University White Paper "Depression, Co-Morbidity and Integrated Care"

  We invite you to the launch of the Western Sydney University White Paper "Depression, Co-Morbidity and Integrated Care". Pathways into integrated mental health care with multidisciplinary approach by School of Psychology and Health and Wellbeing research theme.

  • Date: Tuesday, 1 December 2020
  • Time: 12:00pm – 2:00pm
  • Location: Online event About this Event

  An increasing number of people live with both depression and another mental or physical illness. As awareness of the complex interplay between depression and other illnesses grows, so does the need for health providers and consumers to work together to develop improved approaches to care. To coincide with the launch of the Western Sydney University White Paper “Depression, Co-Morbidity and Integrated Care”, this online event will provide an opportunity to hear from some of the authors and a panel of experts on current challenges and priorities in enhancing integrated care to support individuals.

  See attached flyer for further details and agenda.

  Registration through Eventbrite: https://www.eventbrite.com.au/e/pathways-into-integrated-mental-health-care-tickets-128826526609

  Tue, 01 Dec 2020 12:00:00 +1100
• Dec 3
  Introduction to Machine Learning using Python: SVM & Unsupervised Learning

  Introduction to Machine Learning using Python: SVM & Unsupervised Learning

  Training and skill upgrade; Online Events
  Introduction to Machine Learning using Python: SVM & Unsupervised Learning

  In this live coding workshop, we provide a comprehensive introduction to Support Vector Machine and Unsupervised models in Machine Learning. We use Python to apply the knowledge on real-world datasets. We hope after this hands-on workshop, you will have a better understanding of these Machine Learning models and techniques and appreciate its capability, as well as make better informed decisions on how to leverage Machine Learning in your research.

  Please read carefully the prerequisites and make sure you have the required knowledge.

  For a better and more complete understanding of the most popular Machine Learning models and techniques please consider attending all three Introduction to Machine Learning using Python workshops:

  • Introduction to Machine Learning using Python: Introduction & Linear Regression
  • Introduction to Machine Learning using Python: Classification
  • Introduction to Machine Learning using Python: SVM & Unsupervised Learning

  Prerequisites:

  • Have attended the “Introduction to Machine Learning using Python: Introduction & Linear Regression” course
  • Good understanding of Python syntax and basic programming concepts
  • Familiar with Pandas, Numpy and Seaborn libraries
  • Maths knowledge is not required. There are only a few Math formula that you are going to see in this course, however references to Mathematics required for learning about Machine Learning will be provided. Having an understanding of the Mathematics behind each Machine Learning algorithms is going to make you appreciate the behaviour of the model and know its pros/cons when using them.

  Learning Outcomes:

  • Comprehensive introduction to Machine Learning models and techniques such as Support Vector Machine, K-Nearest Neighbor and Dimensionality Reduction.
  • Know the differences between various core Machine Learning models.
  • Understand the Machine Learning modelling workflows.
  • Use Python and scikit-learn to process real datasets, train and apply Machine Learning models

  Why do this course?

  • Useful for anyone who wants to learn about Machine Learning but are overwhelmed with the tremendous amount of resources.
  • It does not go in depth into mathematical concepts and formula, however formal intuitions and references are provided to guide the participants for further learning.
  • We do have applications on real datasets! Machine Learning models are introduced in this course together with important feature engineering techniques that are guaranteed to be useful in your own projects.
  • Give you enough background to kickstart your own Machine Learning journey, or transition yourself into Deep Learning.

  For more information about this course please visit our website: https://intersect.org.au/training/course/python207/(opens in a new window)

  Thu, 03 Dec 2020 10:30:00 +1100
• Dec 16
  Research Hour

  Informal session for researchers to connect with research support staff from ITDS/Library/Research Services; share ideas and ask questions.

  academic events; Information sessions
  All WSU researchers
  Informal session for researchers to connect with research support staff from ITDS/Library/Research Services; share ideas and ask questions.

  Researchers from across Western are invited to join us for ‘Research Hour’, hosted by ITDS, Research Services and the Library. Come along to ask questions, learn new techniques and share ideas.

  Incorporating ‘Hacky Hour’: swap notes, get help, learn techniques in programming and data science, code, digital tools, HPC etc.

  The hour will also offer general advice and assistance for Researchers (eg: managing your online researcher profile, Open Access advice, metrics and impact, data management plan, research data storage, equipment and facilities).

  Research Hour is open to Researchers from any discipline and at any level of their career: undergrads, HDR students, ECRs, MCRs and beyond… everyone is welcome.

  Wed, 16 Dec 2020 13:00:00 +1100