Dr. Spina is a Senior Lecturer at the School of Computing Technologies (Interaction, Technology, and Information discipline) at RMIT University. His research areas are Information Retrieval and Text Analytics. In particular, his research focuses on Interactive Information Retrieval (IIR), including user–system interactions in voice-enabled intelligent assistants, and evaluation of information access systems, including effectiveness measures of search engines and fairness–aware evaluation.
Dr. Spina is the recipient of an ARC Discovering Early-Career Research Award (DECRA, 2020-2023) and the 2021 RMIT Award for Research Impact (Technology).
Dr. Spina also teaches Capoeira (Afro-Brazilian martial art) and plays music (Samba with the band Wombatuque).
Current Research Projects
Key Activities
• Senior Lecturer at RMIT University, School of Computing Technologies.
• Associate Investigator at the ARC Centre of Excellence for Automated Decision-Making and Society.
• RMIT Research Lead at the Australian Internet Observatory (AIO).
• Evaluation and Masurement Capability Co-Lead for the RMIT STEM Leading Research Centre for Human-AI Information Environments (CHAI).
• Member of the International Panel on the Information Environment (IPIE).
• Associate Editor for the ACM Transactions on Information Systems (TOIS) journal,
• Editorial board member for the journals Elsevier Information Processing & Management (IP&M).
• Program Committee member for several conferences including SIGIR, WWW, NAACL, CIKM, ECIR, EMNLP, and CHIIR, among others.
• Reviewer for renowned journals including Elsevier IP&M, ACM TOIS, EPJ Data Science, ACM TIST, and JASIST, among others.
• Responsible Practice Facilitator for the School of Computing Technologies
Industry Experience
Dr. Spina has collaborated in research with colleagues in different industry organisations, such as Microsoft, Google, ABC, SEEK, ACCIONA, Realthing, Inference Solutions, Abbrevi8, and Llorente&Cuenca.
Dr. Spina is the co-author of a patent on a system and method for automating the training of enterprise customer response systems using a range of dynamic or generic data sets.
Supervisor Interests:
Information Retrieval, Natural Language Processing, Text Mining, Voice and Conversational Search, Responsible AI
Acknowledgement of Country
RMIT University acknowledges the people of the Woi wurrung and Boon wurrung language groups of the eastern Kulin Nation on whose unceded lands we conduct the business of the University. RMIT University respectfully acknowledges their Ancestors and Elders, past and present. RMIT also acknowledges the Traditional Custodians and their Ancestors of the lands and waters across Australia where we conduct our business - Artwork 'Sentient' by Hollie Johnson, Gunaikurnai and Monero Ngarigo.