Department of Computer Science


Seminars and talks are frequently hosted by the Department and associated research groups. Staff and students are warmly invited to attend.

2017 | 2016 | 2015 | 2014


  • From Location to Activity: Human-centric Sensing and Analytics (Science Event Tags, Seminars, Computer Science) Event as iCalendar
    31 August 2017, 12 - 1pm
  • Special Seminar on Napier's Promptuary (Science Event Tags, Seminars, Computer Science) Event as iCalendar
    16 August 2017, 1 - 2pm
    On Wednesday, 16 August from 1pm we will convene a special seminar to celebrate the transferal of the University of Auckland’s replica of Napier's Promptuary to Napier University (UK), to commemorate the 400th anniversary of Napier’s death.
  • How Realistic is "Google's Plan for Quantum Computer Supremacy''? (Science Event Tags, Seminars, Computer Science) Event as iCalendar
    09 August 2017, 12pm
    Cristian S Calude presents a brief introduction to quantum computing and an idiosyncratic picture of the race for building quantum computers.
  • Structural information theory (Science Event Tags, Seminars, Computer Science) Event as iCalendar
    08 August 2017, 1 - 3pm
    In this talk, Professor Li will introduce a new theory, the structural information theory, to resolve the challenge of defining the information embedded in a physical system.
  • Discovering periodic and correlated high utility patterns in customer transaction databases (Science Event Tags, Seminars, Computer Science) Event as iCalendar
    04 August 2017, 11am - 12pm
    A popular data mining task is high utility itemset mining. It consists of discovering sets of items (products) purchased together that yield a high profit in customer transaction databases. Although many algorithms have been published for identifying high utility itemsets in transactions, many of those algorithms have important limitations such as not considering the time dimension and finding itemsets containing items that are weakly correlated. In this talk, we will discuss extensions of the high utility itemset mining problems that are designed to discover more meaningful patterns.
  • Parity games are almost in P (Science Event Tags, Seminars, Computer Science) Event as iCalendar
    14 June 2017, 1 - 2pm
    This Wednesday, June 14 at 1pm, Bakh Khoussainov will be delivering a Departmental Seminar on his recent award winning paper, Parity games are almost in P, written jointly with C. Calude, S. Jain, W.Li, and F. Stephan. Details are below. Light refreshments will be provided.
  • Gibbons Lectures - The Ethics of AI (Science Event Tags, Computer Science, Conferences, Lectures, Seminars) Event as iCalendar
    25 May 2017, 6:30pm
    As AI becomes more widespread, in the home, workplace and battlefield, with the deployed systems increasingly becoming autonomous, society needs to consider the ethics underpinning and supporting these systems.
  • Gibbons Lectures - deep learning - what's missing? (Computer Science, Science Intranet, Science Event Tags, Conferences, Lectures, Seminars) Event as iCalendar
    18 May 2017, 6:30pm
    There have certainly been some spectacular improvements in machine learning over the last couple of years, and one has to wonder what comes next? I will talk about recent breakthroughs but also focus on their intrinsic limitations in order to make some guesses about where the frontiers might lie.
  • Gibbons Lectures - Home smart home (Science Event Tags, Computer Science, Lectures, Seminars, Conferences) Event as iCalendar
    11 May 2017, 6:30pm
    One of the grand social challenges that developed countries are facing in the 21st century is the problem of an ageing population. This holds in particular for countries with small populations like New Zealand. People expect to live longer than ever before, and they expect that this increased longevity will be enjoyed living an independent, high quality lifestyle in their own homes.
  • Gibbons Lectures - AI: from Aristotle to deep learning machines (Science Event Tags, Conferences, Lectures, Seminars, Computer Science) Event as iCalendar
    04 May 2017, 6:30pm
    The talk presents briefly the main principles used in AI, from Aristotle’s true/false logic, through fuzzy logic, evolutionary computation and neural networks, to arrive at the current state-of-the-art in AI – the deep learning machines. One particular such machine, developed in the presenter’s KEDRI Institute and dubbed NeuCube, is designed for deep learning of complex data patterns so as to predict future events.
  • The Recurring Rainfall Problem (Science Event Tags, Seminars, Computer Science) Event as iCalendar
    22 February 2017