Program

Prof. Eduard Hovy
Prof. Eduard Hovy

Professor Eduard Hovy

Professor Eduard Hovy is a Research Professor in the Language Technologies Institute at Carnegie Mellon University. He is a highly respected researcher in the field of Natural Language Processing having contributed to the area over multiple decades. He received M.S. (December 1982) and Ph.D. (May 1987) degrees in Computer Science from Yale University and has been awarded honorary doctorates from the National University of Distance Education (UNED) in Madrid in 2013 and the University of Antwerp in 2015. He is a fellow of the Association for the Advancement of Artificial Intelligence, as well as one of the original 17 fellows of the Association for Computational Linguistics. Prof. Hovy joins us here in Melbourne as the Executive Director of Melbourne Connect.

His research focuses on various topics, including aspects of the computational semantics of human language (such as text analysis, event detection and coreference, text summarization and generation, question answering, discourse processing, ontologies, text mining, text annotation, and machine translation evaluation), aspects of social media (such as event detection and tracking, sentiment and opinion analysis, and author profile creation), analysis of the semantics of non-textual information such as tables, and aspects of digital government.

Timothy Kariotis
Timothy Kariotis

Timothy Kariotis

Timothy Kariotis is Assistant Director for Usability in the Department of Employment and Workplace Relations, PhD Candidate in Digital Health at the School of Computing and Information System, and Lecturer in Digital Government at Melbourne School of Government.

Tim's research spans the design of digital mental health technologies, information experience design, A.I. ethics, regulatory design, data science applied to industrial relations, sustainable healthcare and disability informatics. With a background in community development and public health, Tim brings a systems perspective to all this research and work. He leads high-performing teams across various projects in government and academia.

Tim co-leads the Fair Day's Work Project at Melbourne School of Government. He leads a team of academics from law, economics, design data science, and social science, exploring the use of data science methods to prevent wage theft. Tim is also a part of a small group of academics across law, medicine, public health and engineering exploring the use of digital technologies and data to decarbonise the Australian healthcare system.

Tim's PhD explores the information experiences of people with complex mental health issues in their journeys through the mental health system. Tim is working with these experiences to develop a framework to inform the design of electronic health records that enhance service users' experiences in the mental health system.


Award Winners

Here is a list of all award winners, who each took home $500 in prizes!

Jury's Choice
Best Paper Award Ashley Anderson
Best Paper Presentation Archana Vadakattu
Best Poster Samangi Wadinambi Arachichi
Best 3MR Robert Langtry
People's Choice
Best Poster Ming Chen
Best 3MR Yunning Zhou

Accepted Submissions

Here is a list of all accepted submissions for each track:

Paper Track

Artificial Intelligence
PresenterTitle
Hanan Alsouly What Makes A Constrained Multi-Objective Optimization Problem Hard?
Archana Vadakattu Extracting Strategies from Single-agent Game Trajectories
Chen Wang Online Trajectory Anomaly Detection Based on Intention Orientation
Philip Cervenjak Parallel algorithms for optimising p-separable submodular functions
Human-Computer Interaction & Information Systems
PresenterTitle
Yushan Xing Technology Use by Community Organizations to Support the Social Connectedness of Older Adults During the COVID-19 Pandemic
Nattapat Boonprakong How our bodies experience different opinions?: Sensing confirmation bias through physiological signals
Eleanor Seale Gods & Greeks: a Study of an Immersive RPG in a Museum Setting
Ashley Anderson Re-imagining the cybersecurity leader: a novel conceptualisation of the objectives of professional education
Computer Science
PresenterTitle
Zhuo Zhang Approximate Range Thresholding
Stewart Webb Mapping an Object Capability language onto the seL4 microkernel and its capability system
Peaker Guo Efficient Computation of String Net Frequency with Augmented Suffix Arrays  
General
PresenterTitle
Nefel Tellioglu Modelling the effectiveness of mass drug administration strategies for reducing scabies burden in Monrovia, Liberia
Pengbo Yan Proving Probabilistic Security Features with Formal Verification
Lianglu Pan Detecting Excessive Data Exposure Vulnerabilities in Web Server Responses

Poster Track

PresenterTitle
Ali Ugur Guler Relu-DNL: A Non Linear Exact Model for Predict+Optimize
Catherine Thompson Trustworthiness in the Digital World
Duneesha Fernando Anomaly-aware Management of Microservices-based Edge Computing Resources
Hajar Alamri Motivations for Discussing Chronic Disease on Online Photo Sharing Platforms
Hanxun Huang Unlearnable Examples: Making Personal Data Unexploitable
Hoa Nguyen A Serverless Platform for developing Microservice Quantum-Classical Applications
Matthew Sidji The Hidden Rules of Hanabi: How Humans Outperform AI Agents
Ming Chen Efficient Resource Management via Co-locating Jobs in Clouds
Samangi Wadinambi Arachchi Exploring the Potential of AI-generated Images as a Remedy for Design Fixation
Tharindu Bandara Saryakara Hewage Decentralized Re-Scheduling of Latency Critical Tasks in GeoDistributed Micro-Clouds With Dynamic Power-Budgets

Three Minute Research Track

PresenterTitle
Stephanie Park Improving Information Security Governance in Organisations
Yuning Zhou Active Learning-based Deep Learning Dataset Construction for Laparoscopic Cholecystectomy Structure Segmentation
Kemal Kurniawan Easier Transfer Learning for Predicting Sentence Structures
Prabodi Senevirathna Quantifying and Mitigating Digital Overdiagnosis
Craig Lewis Influence in organisations
Hao Wu Frequency Estimation Under Local Differential Privacy
Zhuoqun Huang Defending adversarial malware disguises
Robert Langtry Machine learning for automated generation of validated infra-red signature models
Shuai Yuan Social Robots in Aged Care: Care Staff Experiences and Perspectives on Robot Benefits and Challenges
Jiankai Jin Identifying and Preventing Implementation Flaws in Secure Machine Learning Systems
Wei Zhao Designing Digital Technologies to Support Older Adults’ Engagement in Meaningful Activities