A5063460321- Topic Modeling
- Semantic Web and Ontologies
- Biomedical Text Mining and Ontologies
- Natural Language Processing Techniques
- Data Mining Algorithms and Applications
- Advanced Text Analysis Techniques
- Expert finding and Q&A systems
- Service-Oriented Architecture and Web Services
- Mobile Crowdsensing and Crowdsourcing
- AI-based Problem Solving and Planning
- Data Quality and Management
- Complex Network Analysis Techniques
- Housing Market and Economics
- Human Mobility and Location-Based Analysis
- Mental Health via Writing
- Data Management and Algorithms
- Online Learning and Analytics
- Multimodal Machine Learning Applications
- Rough Sets and Fuzzy Logic
- Traffic Prediction and Management Techniques
- Infrastructure Maintenance and Monitoring
- Context-Aware Activity Recognition Systems
- Business Process Modeling and Analysis
- Interactive and Immersive Displays
- Caching and Content Delivery
Swinburne University of Technology
2019-2025
Australian Research Council
2022-2023
Bangladesh University of Engineering and Technology
2021-2023
University of Oxford
2022
John Wiley & Sons (United Kingdom)
2022
Hudson Institute
2022
John Wiley & Sons (United States)
2022
Institute of Electrical and Electronics Engineers
2021
Monash University
2007-2017
Electronics and Telecommunications Research Institute
2005
Tahmid Hasan, Abhik Bhattacharjee, Md. Saiful Islam, Kazi Mubasshir, Yuan-Fang Li, Yong-Bin Kang, M. Sohel Rahman, Rifat Shahriyar. Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021.
Abhik Bhattacharjee, Tahmid Hasan, Wasi Uddin Ahmad, Yuan-Fang Li, Yong-Bin Kang, Rifat Shahriyar. Proceedings of the 61st Annual Meeting Association for Computational Linguistics (Volume 1: Long Papers). 2023.
This paper investigates open public data and sharing reforms in Australia (2018–2022) their potential role deepening the ‘data divide’. In contemporary datafied welfare state, are increasingly vexed issues times of data-driven artificial intelligence (AI). We scrutinise consultation surrounding establishment Australian Data Availability Transparency Act 2022 (DAT Act). Through topic modelling critical discourse analysis, study examines representation concerns marginalised groups reform...
The urgency of enhancing community resilience in the face escalating disasters necessitates a shift disaster preparedness strategies. This paper presents novel approach developed collaboration with Australian Red Cross, focusing on community-centred data practices for resilience. Recognising limitations traditional digital humanitarianism, which largely relied crowdsourcing and social platform data, our project shifts paradigm towards empowering communities capabilities. We Community...
Retrieval is a key phase in case-based reasoning (CBR), since it lays the foundation for overall effectiveness of CBR systems. Its aim to retrieve useful cases that can be used solve target problem. To perform retrieval process, systems typically exploit similarity knowledge and called similarity-based (SBR). However, SBR tends rely strongly on knowledge, ignoring other forms further leveraged improve performance. This paper argues motivates association analysis stored significantly...
Taxonomy learning is an important task for knowledge acquisition, sharing, and classification as well application development utilization in various domains. To reduce human effort to build a taxonomy from scratch improve the quality of learned taxonomy, we propose new approach, named <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">TaxoFinder</i> . TaxoFinder takes three steps automatically taxonomy. First, it identifies domain-specific...
Assessing learners’ understanding and competency in video-based digital learning is time-consuming very difficult for educators, as it requires the generation of accurate valid questions from pre-recorded videos. This paper demonstrates VideoDL, a framework powered by Artificial Intelligence (AI) that supports automatic question answer assessment VideoDL comprises various AI algorithms, an interactive web-based user interface (UI) developed using principles human-centred design. Our...
For expressive ontology languages such as OWL 2 DL, classification is a computationally expensive task—2NEXPTIME-complete in the worst case. Hence, it highly desirable to be able accurately estimate time, especially for large and complex ontologies. Recently, machine learning techniques have been successfully applied predicting reasoning hardness category given (ontology, reasoner) pair. In this paper, we further develop predictive models actual time using regression techniques, with metrics...
Background: Little is understood about the determinants of symptom expression in individuals with fibromyalgia syndrome (FMS). While FMS often report environmental influences, including weather events, on their severity, a consistent effect specific conditions symptoms has yet to be demonstrated. Content analysis large number messages by Twitter can provide valuable insights into variation experience from first-person perspective.
Resilience is an accepted strengths-based concept that responds to change, adversity, and crises. This underpins both personal community-based preventive approaches mental health issues shapes digital interventions. Online peer-support forums have played a prominent role in enhancing resilience by providing accessible places for sharing lived experiences of finding support. However, little research has been conducted on whether how realized, hindering service providers' ability optimize...
The prediction of traffic congestion is quite an important issue in vehicle navigation to smoothly control flow, and improve the quality driver's convenience. However, it not easy make accurate predictions since change highly nonlinear complex dynamic process. First, we present a new algorithm on basis combined knowledge both historical real-time information. Based this result, paper presents novel routing technique capable providing intelligent route services completely adequate guidance...
Abstract The transformation of cities into smarter and more efficient environments relies on proactive timely detection maintenance city-wide infrastructure, including roadside infrastructure such as road signs the cleaning illegally dumped rubbish. Currently, these tasks rely predominantly citizen reports or on-site checks by council staff. However, this approach has been shown to be time-consuming highly costly, resulting in significant delays that negatively impact communities. This paper...
The aim of incident management is to restore a given IT service disruption, simply called incident, normal state as quickly possible. In management, it essential resolve new efficiently and accurately. However, typically, resolution process largely manual, thus, time-consuming error-prone. This paper proposes knowledge-rich similarity measure for improving this process. role retrieve the most similar past cases without human intervention. solution information contained retrieved can be...
A chatbot is a software that interacts with humans by conducting conversations via textual or auditory methods. Chatbots have recently been used for plethora of applications including travel, medical, education, retail etc. Several cloud-based platforms (e.g. IBM, Amazon, Google, Microsoft) are available developing and deploying chatbots. However, there lack an evaluation methodology tool evaluating chatbots comprehensively. Current approaches comparing manual rely on expert's judgement. In...