Vasileios is a clinical psychologist and researcher focused on harnessing the opportunities—and confronting the risks—of the digital revolution to improve wellbeing. His work blends advanced analytics and machine learning to decode user behaviour and digital footprints across four lenses: user identity, social context, application design, and online self-presentation.
Since completing his PhD in 2013 (with a professional psychology hiatus from 2013–2016), Vasileios has built a distinguished research profile. He has published 150+ peer-reviewed, Scopus-indexed papers and, on Google Scholar, sits at ~6,100+ citations, h-index ~41, i10-index ~92 (accessed Sept 2025). Much of his output examines digital media use/abuse (~67%), with complementary work in psychometrics (~17%) and developmental psychopathology (~16%). Collaboration is central to his practice: ~77% of publications involve international co-authors, and >50% are co-authored with MSc/PhD mentees, underscoring his commitment to training the next generation.
Globally, his work is widely recognised: ~59% of papers appear in Q1 journals, and ~57% rank among the top-decile most-cited in their fields. As of April 2025, SciVal analytics placed him 15th worldwide (3rd in Australia) in “Internet Addiction; Addictive Behavior; Mental Health” (prominence percentile 99.817) and 3rd in Australia in “Factor Analysis; Measurement Invariance; Psychometrics,” with a field-weighted citation impact ≈1.98.
Vasileios has attracted >$1.8M in competitive funding, including an ARC DECRA Fellowship (2021–23) and the Tall Poppy Award (2022), alongside grants from RMIT, Victoria University, and Federation University. He serves as an academic editor/guest editor for Q1 journals and reviews for international grant agencies. He is Associate Dean HDR in RMIT’s School of Health & Biomedical Sciences and a founding director of the Australian Games and Screens Alliance (AGASA) and the Australasian Cyberpsychology Network (ACORN).
Beyond academia, Vasileios translates research into practice via workshops for organisations such as the Australian Psychological Society, Black Dog Institute, and Turning Point, engaging >2,700 professionals. His outreach—including podcasts, media, Melbourne International Gaming Week, and AGASA’s Federal Parliament Symposium—has reached >55,000 people (2020–2025).
Foundations of Practice 1 — 12 credit points — BESC1461
Assessment and Intervention 1 — 12 credit points — BESC1459
Assessment and Intervention 2 — 12 credit points — BESC1460
Thesis I — 12 credit points — BESC1244
Thesis 2 — (details per program guide)
Digital minds & wellbeing: How gaming, social media, and broader digital ecosystems shape mental health—especially Internet/Gaming Disorder (IGD/GD) and problematic social media use—through a cyber-developmental lens (person × context × platform).
Digital phenotyping: Using passively collected traces (use patterns, rhythms, micro-behaviours) to detect risk, forecast relapse, and personalize support.
Methods that matter: Machine learning/AI, network analysis, growth (quadratic) modelling, topic modelling, and high-rigour psychometrics (factor analysis, measurement invariance) to make findings robust and actionable.
Culture & gender dynamics: How cultural values (individualism–collectivism; vertical–horizontal) and gendered motives (achievement, affiliation) interact with platform affordances to drive over-engagement.
Youth & development: Longitudinal trajectories from adolescence into adulthood—what predicts healthy versus harmful digital engagement over time.
Serious games & interventions: Co-designing evidence-based, game-supported prevention and treatment programs that actually fit users’ motives and contexts.
Big, linked datasets: Leveraging multi-wave, multi-country resources (e.g., ABCD, LSAC, LSIC, TESS) to answer questions that single studies can’t.
Translation to policy & design: Turning evidence into safer platform features (cool-downs, transparency, social-load controls), school/clinical guidelines, and industry partnerships.
Mentoring & capacity building: Training HDRs/ECRs to combine clinical insight + data science, and building cross-disciplinary teams that deliver real-world impact.
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.
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