International School in Artificial Intelligence and its Applications in Computer Science (ISAAC)

International School in Artificial Intelligence and its Applications in Computer Science (ISAAC)

Face-to-face
Monday, 12 December 2022 – Thursday, 15 December 2022 (AEDT)
All day
Paid

Enhancing access to cutting-edge topics in AI and Computer Science

Rated ‘five out of five’ for AI in Australia (ERA National Report), Monash University is proud to host ISAAC, the most exciting graduate school on AI in Australia.

This school gives PhD, Masters and Honours students as well as ECRs across the globe a greater opportunity to engage with state-of-the-art advancements in AI, and computer science more broadly.

During this multi-day academic forum, attendees will enjoy:

  • lectures delivered by globally-renowned experts in AI and computer science;
  • learning about core theories, tools and techniques in different subfields of AI, such as, machine learning, optimisation, planning, knowledge representation, data science, and more;
  • getting insights into innovative research developments and their real-world applications;
  • having the opportunity to meet world experts in different areas of AI, and access to a growing network of academics, researchers, and graduate students interested in many aspects of AI.

For ECRs and current PhD students, ISAAC will enrich their education by deep diving into topics ranging from traditional research in AI all the way to new applications in other computer science disciplines. Future PhD students will also benefit from early exposure to graduate research as well as the modern topics and developments in AI and Computer Science that will be explored during this event.

Download ISAAC 2022 Flyer

Registration

Because ISAAC is an in-person fully funded event, it has a limited number of available places. A link to submit applications to attend the event is below. Notification of the outcome of applications will be sent by the 7th of November. The deadline to submit applications to attend the Summer school is Monday 31st of October.

ISAAC 2022 application form

ISAAC scholarships

If you are a Masters or Honours student who does not live in Melbourne, and is interested in both attending ISAAC and doing a PhD in AI or Computer Science, you are eligible for a travel ISAAC scholarship to help cover flights or accommodation. Notification of applications will be sent by the 7th of November. The deadline to submit applications to apply for an ISAAC travel scholarship is Monday 31st of October.

ISAAC 2022 scholarships application form

Speakers

Tanya Berger-Wolf

Professor Tanya Berger-Wolf

Ohio State University

Dr. Tanya Berger-Wolf is the Director of the Translational Data Analytics Institute and Professor of Computer Science Engineering, Electrical and Computer Engineering, as well as  Evolution, Ecology, and Organismal Biology at the Ohio State University.  As a computational ecologist, her research is at the unique intersection of computer science, wildlife biology, and social sciences. Berger-Wolf is also Director and co-founder of the Artificial Intelligence for wildlife conservation software non-profit Wild Me, home of the Wildbook project, which brings together computer vision, crowdsourcing, and conservation. Wildbook has been featured in media, including Forbes, National Geographic, The New York Times, and CNN. Prior to coming to Ohio State University in January 2020, Berger-Wolf was at the University of Illinois at Chicago. She holds a Ph.D. in Computer Science from the University of Illinois at Urbana-Champaign. She is widely published and a sought-after invited speaker. Berger-Wolf has received numerous awards for her research and mentoring, including the highest honour of University of Illinois Scholar, UIC Distinguished Researcher of the Year, US National Science Foundation CAREER, Association for Women in Science Chicago Innovator, and the UIC Mentor of the Year.

Seminar series:

Trustworthy AI for Wildlife Conservation

Google scholar


Stephen Gould

Professor Stephen Gould

Australian National University

Stephen Gould is a Professor of Computer Science at the Australian National University (ANU). He is also an Australian Research Council (ARC) Future Fellow and Amazon Scholar. He is a former ARC Postdoctoral Fellow, Microsoft Faculty Fellow, Contributed Researcher at Data61, Principal Research Scientist at Amazon Inc, and Director of the ARC Centre of Excellence in Robotic Vision. Stephen received his BSc degree in mathematics and computer science and BE degree in electrical engineering from the University of Sydney in 1994 and 1996, respectively. He received his MS degree in electrical engineering from Stanford University in 1998. He then worked in industry for several years where he co-founded Sensory Networks, which later sold to Intel in 2013. In 2005 he returned to Stanford University and was awarded his PhD degree in 2010. In November 2010, he moved back to Australia to take up a faculty position at the ANU. Stephen has broad interests in the areas of computer and robotic vision, machine learning, deep learning, structured prediction, and optimization. He teaches courses on advanced machine learning, research methods in computer science, and the craft of computing. His main research focus is on automatic semantic, dynamic and geometric understanding of images and videos.

Seminar series:

Differentiable Optimisation in Deep Learning

Google scholar


Flora Salim

Professor Flora Salim

University of New South Wales

Professor Flora Salim is the CISCO Chair of Digital Transport, School of Computer Science and Engineering, UNSW Sydney. Her research, on behaviour modelling, AI and machine learning on time-series and spatio-temporal sensor data, has been funded by the ARC, Humboldt Foundation, Bayer Foundation, Microsoft Research, Qatar National Research Fund, and many local and international industry partners. She won the Women in AI Awards 2022 ANZ - Defence and Intelligence category. She is a member of the Australian Research Council (ARC) College of Experts, a Chief Investigator of the ARC Centre of Excellence for Automated Decision Making and Society, an Honorary Professor of RMIT University, a member of ACM UbiComp Steering Committee, Associate Editor of ACM Transactions on Spatial Algorithms and Systems, Area Editor of Pervasive and Mobile Computing, Associate Editor of Proceedings of the ACM on Interactive, Mobile, Wearable, Ubiquitous Technologies (IMWUT), and an Editorial Board member of Scientific Reports. She obtained her PhD from Monash University in 2009.

Seminar series:

Data-Efficient Learning of Dynamic Behaviours

Google scholar


Liz Sonenberg

Professor Liz Sonenberg

University of Melbourne

Liz Sonenberg is a Professor of Information Systems at the University of Melbourne and holds the Chancellery role of Pro Vice Chancellor (Systems Innovation). Liz is a member of the Advisory Board of AI Magazine and of the Standing Committee of the  One Hundred Year Study on Artificial Intelligence (AI100). In 2020 she was the recipient of the Distinguished Research Contribution in the Australasian AI Awards. She has held several senior positions at the University of Melbourne, been a director of five small companies associated with the University of Melbourne and held Advisory Board roles in various Commonwealth funded national research infrastructure initiatives.

Seminar series:

Imperfectly Rational or Rationally Imperfect: Challenges for Human-Centred AI

Google scholar


Guido Tack

A/Professor Guido Tack

Monash University

Guido Tack is an Associate Professor in the Department of Data Science and Artificial Intelligence and the Associate Dean (Graduate Research) at the Faculty of Information Technology, Monash University. His research focuses on combinatorial optimisation, in particular architecture and implementation techniques for constraint solvers, translation of constraint modelling languages, and industrial applications. His broader research interests include programming languages and computational logic. Guido leads the development of the MiniZinc constraint modelling language and toolchain. Guido graduated and received his doctoral degree (Dr.-Ing.) from the Department of Computer Science, Saarland University, Germany. Before joining Monash University as a Lecturer and Monash Larkins Fellow in 2012, he worked as a post-doctoral researcher at NICTA Victoria Laboratory, Saarland University (Germany), and K.U. Leuven (Belgium)

Seminar series:

Discrete Optimisation: Modelling for Uncertainty, Diversity and Fairness

Google scholar


Guido Tack

Professor Lexing Xie

Australian National University

Lexing Xie is Professor of Computer Science at the Australian National University, she leads the ANU Computational Media lab (http://cm.cecs.anu.edu.au) and the Humanising Machine Intelligence project (https://hmi.anu.edu.au). Her research interests are in machine learning, optimisation, and social media. Of particular interest are stochastic point process models, neural networks for sequences and networks, applied problems such as modelling popularity in social media, vision and language, and human and machine decision making. Her research is supported by the US Air Force Office of Scientific Research, Data61, Data to Decisions CRC and the Australian Research Council. Lexing received the 2018 Chris Wallace Award for Outstanding Research, her research has received seven best student paper and best paper awards in ACM and IEEE conferences between 2002 and 2019. She was IEEE Circuits and Systems Society Distinguished Lecturer 2016-2017. She served as inaugural editor-in-chief of AAAI ICWSM (Intl. Conf. on Web and Social Media), associate editor of ACM Trans. of Information Systems, ACM TiiS and PeerJ Computer Science. She was a research staff member at IBM T.J. Watson Research Center in New York, and adjunct assistant professor at Columbia University. She received B.S. from Tsinghua University, China, and M.S. and Ph.D. degrees from Columbia University, all in Electrical Engineering.

Seminar series:

Machine Learning for Time Series and Point Processes in a Connected World

Google scholar

Program and topics

Run across four days, ISAAC will involve a registration period, a welcome event, a number of events organised by the Faculty of Information Technology (FIT events), and a variety of teaching sessions (18 seminars delivered by our 6 invited speakers, with each main speaker delivering 3 seminars), ranging from introductory, intermediate and advanced, that fall within three main tracks: Foundations, Logic, and Automated Reasoning; Machine Learning and Data Science; AI for Systems' Quality and Design.

Time/DayMondayTuesdayWednesdayThursday
10.00 - 11.00 Registration Seminar Seminar Seminar
11.00 - 11.30CoffeeBreakBreakBreak
11.30 - 12.30 Opening Seminar Seminar Seminar
12.30 - 14.00Lunch Lunch Lunch Lunch
14.00 - 15.00 Seminar Seminar Seminar Seminar
15.00 - 15.30Break Break Break Break
15.30 - 16.15 Seminar Seminar Seminar Seminar
16.15 - 17.00 Seminar Seminar Seminar Seminar

Sponsors

ISAAC is proudly sponsored by the Monash Faculty of Information Technology, the Department of Data Science and Artificial Intelligence, and the Monash Data Futures Institute.

People

ISAAC is organised by the Monash Faculty of Information Technology:

ResearchCurrent studentsIndustry and community Artificial Intelligence

Monash University values the privacy of every individual's personal information and is committed to the protection of that information from unauthorised use and disclosure except where permitted by law. For information about the handling of your personal information please see Data Protection and Privacy Procedure and the relevant Data Protection and Privacy Collection Statement that applies to you depending on the nature of your interaction with us.

If you have any questions about how Monash University is collecting and handling your personal information, please contact our Data Protection and Privacy Office at dataprotectionofficer@monash.edu.

Speakers

Professor Tanya Berger-Wolf

Ohio State University

Professor Stephen Gould

Australian National University

Professor Flora Salim

University of New South Wales

Professor Liz Sonenberg

University of Melbourne

Professor Lexing Xie

Australian National University

Event contact

Dr Julian Gutierrez

Co-Director, Monash Laboratory for the Foundations of Computing (MLFC) E: Julian.Gutierrez@monash.edu

Location

Woodside Building for Technology and Design (WBTD)
Monash University, Clayton Campus
Melbourne VIC Australia

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