Overview

The TIME 2025 workshop, organized as part of The Web Conference 2025 (WWW 2025), represents a pivotal initiative in advancing cross-domain knowledge exchange and methodological innovation in contemporary web technologies. Aligned with WWW 2025’s mission, it addresses pressing challenges in the digital ecosystem, including privacy concerns, algorithmic biases, and the demand for ethical and transparent web practices. TIME 2025 offers a premier platform for academics and industry experts to collaborate on critical topics such as social network analysis, graph algorithms, web mining, security, and ethics. By fostering comprehensive evaluations and providing practical guidance, the workshop bridges the divide between theoretical research and real-world applications. Its focus on actionable solutions and cross-disciplinary insights underscores its commitment to the broader objectives of WWW 2025, advancing innovative, responsible, and impactful web technologies.

Invited Speakers

Assoc. Prof. Wei Liu Assoc. Prof. Wei Liu
H-index: 30, Citations: 4,173
University of Western Australia, Australia

Title: Towards Casual Reasoning Agents

Bio: A/Prof Liu received her PhD from the University of Newcastle, Australia in 2003. She holds a full time teaching & research academic position in the Department of Computer Science and Software Engineering at the University of Western Australia. She leads the UWA Centre for Natural and Technical Language Processing, with research effort focusing on knowledge discovery from natural language text (NLP), generative AI, LLM-based semantic technologies, deep learning methods for knowledge graph construction and analysis, as well as sequential data mining and forecasting. Her recent work includes training machine learning models from fusing multi-modality heterogeneous data, and neural-symbolic computation with human-in-the-loop for symbiotic intelligence. Her industry-related research projects include knowledge graph refinement for geological survey reports, technical language processing on maintenance work orders, incident/safety log analysis and visualization, short-term traffic prediction, and clinical data integration and analysis in ophthalmology. She leads the research theme on Technical Language Process at the ARC Industrial Transformation and Training Centre for Transforming Maintenance through Data Science, and the Data to Knowledge Theme for the ARC Industrial Transformation and Training Centre in Critical Minerals for the Future.

Assoc. Prof. Rafiqul Islam Assoc. Prof. Rafiqul Islam
H-index: 29, Citations: 4,895
Charles Sturt University, Australia

Title: Advancing Cybersecurity: Ransomware Detection Using iCNN-LSTM+

Bio: Dr. Rafiqul Islam is working as an Associate Professor at the School of Computing, Mathematics & Engineering at Charles Sturt University, Australia. He has a strong research background in Cybersecurity with a specific focus on malware analysis and classification, Authentication, security in the cloud, privacy in social media and Internet of Things (IoT). He is the CSU Academic Lead of the cybersecurity CRC, leads the Cybersecurity research group, and has developed a strong background in leadership, sustainability, and collaborative research in the area. He has a strong publication record and has published more than 200 peer-reviewed research papers. His contribution is recognised both nationally and internationally through achieving various awards such as the Professional Excellence Award, VC Award, Research Excellence Award, and the Leadership Award. In 2021, Dr Islam received the Cyber Security Researcher of the Year Award from the Australian Information Security Association (AISA) for a project funded by the Cyber Security CRC and Quintessence Lab. He is a co-recipient of more than 18 external grants with a combined cash funding of more than $7M for the projects.