Professor Carsten Rudolph serves as Deputy Dean at Monash University's Faculty of Information Technology and directs the Oceania Cyber Security Centre (OCSC). He holds a PhD in Information Security from Queensland University of Technology (2002) and a Diplom in Computer Science from Goethe University Frankfurt (1997). His interdisciplinary research focuses on cybersecurity foundations, including cryptographic protocols, AI-driven security, human factors, and national cybersecurity policy. Key areas include securing smart grids, digital health systems, and transnational energy networks. Notable contributions include establishing the OCSC, leading Pacific region cybersecurity maturity reviews with Oxford University, and advancing frameworks for firmware security in virtual power plants. He chairs major projects like RAI4IoE (Responsible AI for Energy) and Post-Quantum Cryptography initiatives. Teaching responsibilities include cybersecurity modules like FIT3173 and FIT3168. Rudolph's research outputs (137+ publications) emphasize phishing detection via AI, blockchain-based energy trading, and resilient smart grid systems. He collaborates internationally on policy development and has advised 12 major research projects funded by agencies like the U.S. Bureau of East Asia and Pacific Affairs.
Dr. Dave Hicks is a Lecturer in Data Analysis and Assessment in Education at the University of Tasmania's Faculty of Education. His research focuses on education equity, quantitative methodologies, and systemic barriers affecting marginalized student groups. He holds a PhD (2021), Grad Cert (Research) (2021), and Bachelor of Education (Honours) (2014) from the University of Tasmania. Education Background: PhD in Education, University of Tasmania (2021) Graduate Certificate in Research, University of Tasmania (2021) Bachelor of Education (Honours), University of Tasmania (2014) Research Interests: Dr. Hicks applies data-driven approaches to analyze educational policies and practices, particularly addressing inequities in low SES, regional, and Indigenous student populations. His work emphasizes collaboration with schools, governments, and NGOs to drive systemic change. Key areas include: Online engagement strategies for disadvantaged students Teacher retention and wellbeing in secondary education Culturally responsive pedagogies for Indigenous learners VR technology in place-based education Recent Research Trends: His 2023-2025 publications highlight: Quantitative analysis of literacy gender gaps VR-based educational innovations Policy frameworks for Indigenous student success Online pedagogies for diverse student groups Grants & Partnerships: Active grants include: $177,574 DECYP literacy training package (2023-2024) $58,077 Table Cape VR Education Project (2024) $49,997 National Centre for Student Equity grant (2024-2025) Labs/Teams: Collaborates with CALE (College of Arts Law and Education) and interdisciplinary teams on projects like the Table Cape VR initiative and TBRI professional learning programs.
Aldeida Aleti is a Professor in the Department of Software Systems & Cybersecurity at Monash University. Her research focuses on Automated Software Engineering, leveraging AI and optimization techniques for tasks like software design, testing, and repair. She has held roles including Chief Examiner for units like FIT4002 and FIT5136, and has contributed to teaching FIT3077 and FIT1008. Education: PhD in Software Engineering (Swinburne University of Technology, 2012), Master of Computer Engineering (Polytechnic University of Tirana, 2008), and Bachelor Honours in Computer Engineering (Yildiz Technical University, 2005). Research Interests: Automated software engineering, fitness landscape analysis, optimization, and search-based techniques. She leads projects like RAISE (Responsible AI Software Engineering) and collaborates on quantum computing and healthcare AI initiatives. Awards include the FIT Dean's Award (2016), Best Paper Awards (2015, 2011), and the Heidelberg Laureate Forum invitation (2014). She has been a grant assessor for the Australian Research Council since 2015. Advising: Accepting PhD students in AI-driven software engineering, optimization, and automated testing. Active in committees like the Faculty Research Committee and Early Career Researcher committee.
Amir Aryani is an Associate Professor at the School of Business, Law and Entrepreneurship , Swinburne University of Technology . He leads the Social Data Analytics (SoDA) Lab within the Social Innovation Research Institute , focusing on data-driven solutions for health and social challenges. His work involves large-scale cross-institutional projects with international collaborators including the British Library , ORCID , and NIH . Research Focus: Data modeling, real-time analytics, and information retrieval for social-good initiatives Collaborations: CERN, Data Archiving and Networked Services (DANS), and Global Information Systems (GESIS) His research explores data science applications in mental health, community resilience, and sustainable development. Key trends in his publications include: Mapping research to United Nations Sustainable Development Goals Developing hybrid expert-finding models using NLP and graph algorithms Creating interoperable research graphs for cross-platform discovery Assessing social impact of data projects in non-profit sectors Amir is actively involved in PhD supervision and has secured funding from Australian Research Council , National Health and Medical Research Council , and philanthropic foundations . He also contributes to community data projects through the SoDA Lab , which builds tools for social connection analysis and humanitarian response optimization.
Corina Pasareanu is an ACM Fellow and IEEE ASE Fellow serving as a Principal Scientist at Carnegie Mellon University's CyLab Security and Privacy Institute and Technical Professional Leader for Data Science at NASA Ames Research Center through KBR. Her work bridges formal methods, software verification, and artificial intelligence to ensure the safety and security of complex systems, particularly autonomous systems and machine learning applications. Dr. Pasareanu received her academic training at: Ph.D. in Computer Science, Kansas State University (2001) M.S. in Computer Science, University Politehcnica of Bucharest (1995) B.S. in Computer Science, University Politehcnica of Bucharest (1994) Her research focuses on developing formal verification techniques that can provide mathematical guarantees about the behavior of complex software systems. She specializes in applying model checking, symbolic execution, and compositional verification methods to challenges in autonomy, security, and AI safety. Her recent work addresses the verification of systems incorporating machine learning components, particularly neural networks used in safety-critical applications like autonomous vehicles. She investigates how to ensure these systems behave correctly even when their perception components have uncertainties or are subject to adversarial attacks. Analysis of her recent publications shows a strong trend toward verifying AI and machine learning systems, particularly focusing on neural networks in autonomous systems. Her work increasingly addresses the challenges of Large Language Models, examining both their vulnerabilities to attacks and methods to defend against them. She also continues to advance traditional software verification techniques while adapting them to modern programming languages and paradigms. Dr. Pasareanu has received numerous prestigious awards recognizing her contributions to the field: ACM Fellow IEEE ASE Fellow ETAPS Test of Time Award (2021) ASE Most Influential Paper Award (2018) ESEC/FSE Test of Time Award (2018) ISSTA Retrospective Impact Paper Award (2018) ACM Impact Paper Award (2010) ICSE 2010 Most Influential Paper Award (2010) As an advisor, Dr. Pasareanu mentors several PhD students and postdoctoral researchers, often in collaboration with other faculty members at CMU. Her students focus on cutting-edge research at the intersection of formal methods and AI safety. Her research is supported by substantial funding from diverse sources including NSF, DARPA, NASA, AWS, and industry partnerships. She leads multiple projects focused on AI security, formal verification of neural networks, and software analysis techniques. Dr. Pasareanu also plays a significant role in the broader research community, serving as Program/General Chair for major conferences including ICSE 2025, and as an associate editor for IEEE TSE and STTT. Dr. Pasareanu leads research teams working on projects like "Trinity: Neurosymbolic Learning and Reasoning" (DARPA) and "HUGS: Human-Guided Software Testing and Analysis" (NSF). Her work often involves interdisciplinary collaboration between computer scientists, formal methods experts, and domain specialists to address complex safety challenges in autonomous systems.
Reinhard Pekrun is a leading Professorial Fellow at the Institute for Positive Psychology and Education , Faculty of Education and Arts. His research focuses on academic emotions , control-value theory , and their interplay with motivation , student engagement , and educational achievement . He has pioneered frameworks like the Achievement Emotions Questionnaire (AEQ) and its adaptations for diverse populations. Key Research Areas : Academic emotions, boredom, motivation theory, emotional self-regulation, cross-cultural educational psychology Methodological Expertise : Longitudinal studies, experience-sampling methods, network analysis, cross-national comparisons Recent publications explore test boredom , emotional contagion in classrooms, and control-value theory as a general model for human emotions. Collaborations span institutions across 72 societies, with methodological synergies in self-concept research and emotional measurement . Awards and grants include international trials on mental well-being apps and large-scale studies on peer victimization.
Stephen Humphry is a Senior Honorary Research Fellow at the Graduate School of Education, The University of Western Australia. He joined UWA in 2006 and has maintained continuous research funding through Australian Research Council Linkage grants since 2008. His work focuses on educational assessment, measurement, and evaluation, with significant contributions to large-scale testing programs including NAPLAN and WALNA. Humphry holds a Bachelor of Psychology from Western Australia and a PhD from Murdoch University. His expertise spans psychometrics, Rasch measurement, and quantitative methods in educational assessment. Dr. Humphry's research has increasingly focused on developing novel approaches that enable classroom teachers to reliably assess students in areas not amenable to large-scale testing. His work on pairwise comparison methods, Rasch analysis, and construct validity has advanced the field of educational measurement. He has published extensively on topics including narrative assessment, writing rubrics, and scale development. His recent publications demonstrate a strong trend toward innovative assessment methodologies, particularly in narrative writing and developmental attributes. These works emphasize practical applications for classroom teachers while maintaining rigorous psychometric standards. The research shows increasing sophistication in handling complex assessment challenges through pairwise comparison techniques and ordered exemplars. Dr. Humphry has supervised 7 research projects and has been awarded 25 research grants, including the current "International collaboration in teaching and learning of Einsteinian physics" project funded by the Australian Research Council until 2025. He has also led multiple NAPLAN-related research projects for the Australian Curriculum Assessment & Reporting Authority. His industry experience includes leading the Central Analysis of Data project for NAPLAN (2011-2013) and serving as Psychometrician for the Western Australian Department of Education's large-scale assessment program prior to joining UWA. His research has led to commercial applications including Brightpath Assessments, used by several hundred schools across Australia.
Dr. Yanjun Zhang is an Honorary Research Fellow at the School of Electrical Engineering and Computer Science, The University of Queensland. His research focuses on privacy-preserving technologies, federated learning, cybersecurity in IoT systems, and machine learning security. He holds a PhD in Privacy-Preserving Sharing for Genome-Wide Analysis from The University of Queensland (2021). Education: PhD in Information Technology, School of Information Technology and Electrical Engineering, The University of Queensland (2021) Research Interests: Designing secure collaborative machine learning frameworks Defending against adversarial attacks in cyber-physical systems Privacy preservation in distributed genomic and medical data analysis Compliance and ethics in virtual personal assistant applications Key Contributions: Developed privacy-preserving federated learning frameworks (AgrAmplifier, PrivColl) Conducted foundational studies on evasion attacks in IoT systems Created datasets for analyzing malicious browser extensions and Alexa skills Labs/Teams: Active contributor to UQ Cyber initiatives, including the 2021-2022 Seed Funding project on federated deep learning for medical imaging.
Derek Chew is a Professor and clinical interventional cardiologist currently serving as Director of MonashHeart/Victorian Heart Hospital at Monash Health. He previously held the position of Professor of Cardiology at Flinders University and served as Network Director of Cardiology for the Southern Adelaide Local Health Network. His academic affiliations include Monash University and Flinders University, with a focus on cardiovascular health systems research. PhD in Medicine, University of Melbourne (2017) MPH in Quantitative Methods, Harvard University (2002) MBBS, University of Melbourne (1992) Derek Chew's research centers on improving cardiovascular outcomes through health system innovation. His primary interests include artificial intelligence in cardiovascular prediction, clinical trials, epidemiology, cost-effectiveness analysis, and evidence translation in cardiology. He investigates system-level factors that influence the delivery and adoption of best practices in heart attack care and chest pain management. His work bridges clinical cardiology with public health and health services research, aiming to optimize patient outcomes through scalable interventions. His recent publications highlight trends in cardiac rehabilitation utilization, prehospital troponin testing, procedural safety in PCI, and AI-driven risk prediction. These works reflect a strong focus on data-driven decision-making, real-world evidence, and health equity. His research often employs large-scale data linkage, clinical registries, and multicenter collaborations to generate actionable insights for healthcare systems. Derek Chew has secured significant funding from the NHMRC and MRFF for projects such as optimizing chest pain pathways in rural communities and evaluating high-sensitivity troponin testing. He leads the Centre of Research Excellence in Cardiovascular Outcomes Improvement and has contributed to national standards for clinical quality registries. His leadership roles include serving as Commissioner on Excellence and Innovation in Health for South Australia. Derek Chew has authored over 300 manuscripts and book chapters. His collaborative network spans major Australian institutions and international partners, particularly in cardiovascular outcomes research. While specific advisees are not listed, he is accepting PhD students with projects in AI for cardiovascular outcomes.
Dr. Tim Lynar serves as a Senior Lecturer at the University of New South Wales Canberra within the School of Systems & Computing. With a strong background in both academic research and industry practice, he has established himself as a leading figure in cyber security and computer science. His work bridges theoretical research with practical applications, focusing on innovative solutions for complex computing challenges across multiple domains including IoT security, machine learning applications in cyber defense, and high-performance distributed systems. Dr. Lynar's research interests span a wide spectrum of cyber security applications, with particular emphasis on the application of machine learning techniques to security challenges and the innovative use of epidemiological approaches to understand and combat cyber threats. His work in modeling & simulation, statistical & data analysis, network & systems administration, and high-performance distributed computing demonstrates his commitment to developing comprehensive security frameworks that address evolving threats in digital environments. The interdisciplinary nature of his research connects computer science with biological modeling approaches, creating novel methodologies for understanding security vulnerabilities. Analysis of Dr. Lynar's recent publications reveals a strong trend toward applying advanced machine learning techniques to cyber security challenges, particularly in IoT environments. His work increasingly integrates epidemiological models with security frameworks, creating a unique approach to threat detection and mitigation. The research spans practical applications in network security, drone systems, and AI security, demonstrating both theoretical depth and real-world applicability. A notable pattern is the consistent application of cutting-edge deep learning architectures like Vision Transformers and Variational Autoencoders to solve specific security problems across diverse domains. IBM Master Inventor (2016) Multiple IBM Innovation Awards (2011-2018) Client Value Outstanding Technical Achievement Awards (2015-2016) High Value Patent Awards (2014-2016) Best Article Award – International Journal of Information Systems & Social Change (2010) Multiple research scholarships from 2007-2010 Dr. Lynar's extensive patent portfolio demonstrates significant industry impact, with numerous issued US patents spanning diverse applications from energy efficient supercomputing to vehicle collision avoidance and drone-based microbial analysis. His research has attracted substantial industry collaboration, particularly with IBM, where he received multiple prestigious awards including the IBM Master Inventor designation. The practical applications of his work are evident in the wide range of patented technologies addressing real-world security and optimization challenges across multiple industries. Dr. Lynar's work spans multiple research domains simultaneously, with active projects in cyber security, drone systems, AI safety, and maritime traffic analysis. His research methodology consistently combines theoretical modeling with practical implementation, often leveraging simulation environments to test and validate approaches before real-world deployment. The interdisciplinary nature of his work creates connections between traditionally separate fields, enabling innovative solutions to complex problems.
Cindy Schneider is a Senior Lecturer in Linguistics at the University of New England (UNE), based in the School of Humanities, Arts, and Social Sciences. She specializes in language documentation, sociolinguistics, and applied linguistics, with a focus on Pacific languages. Her research explores language policy, literacy practices, and the intersection of language and law. Education: Cindy holds a BS in Business/Marketing (Delaware), GrDip Linguistics (UNE), MA in Linguistics (Oregon), PhD in Linguistics (UNE), and LLB (UNE). Research Interests span language documentation (Pacific languages), sociolinguistic policy, vernacular literacy, language and legal systems, and mutual intelligibility between related language varieties. She has extensive fieldwork experience in Vanuatu, Papua New Guinea, and Kenya. Publications include a monograph on the grammar of Abma (Vanuatu) and numerous articles on linguistic intelligibility, courtroom language dynamics, and language planning. Recent research focuses on language policy in multilingual courtrooms and language vitality in Pacific Island communities. Supervised over 20 graduate students in topics like language ecology, legal linguistics, and literacy practices. Recipient of multiple teaching commendations for courses such as LING244 (Language and the Law). Consultant for linguistic analyses in consumer law and authorship disputes. Community Engagement includes developing literacy resources in Suru Kavian and other Pacific languages, and organizing orthography workshops for Indigenous communities.
Dr. Andy Bown is a Lecturer in Languages and TESOL at the University of Tasmania's Faculty of Education. He holds a PhD from Macquarie University (2015) and has over 30 years of experience in language education across Thailand, France, the UAE, and Australia. His research focuses on educational technology, second language acquisition, and culturally diverse learning contexts. He currently coordinates courses like EPR215 and EMT609, and supervises PhD candidates exploring technology's role in language learning. Education: PhD, 'Using a virtual learning environment for the development of L2 academic reading' (Macquarie University, 2015) MEd, 'The usefulness of guided feedback in a web-based IELTS reading programme for Arab learners' (University of Manchester, 2004) BA (Hons) in French and Linguistics (University of York, 1992) Research Interests: Dr. Bown specializes in Computer-Assisted Language Learning (CALL), mobile-assisted language learning, and second language reading strategies. His work emphasizes technology's role in linguistically diverse classrooms, particularly in developing countries. Recent projects include studies on social media for vocabulary development and culturally responsive pedagogy. Grants & Engagements: UTAS representative on the Modern Language Teachers’ Association of Tasmania Led the 'Early Language Learning' case study ($5,000 grant, 2017) Co-lead of the LinguaLab research group Labs/Teams: Co-leads the LinguaLab, a collaborative space exploring language education innovations.
Associate Professor Rachel Burke is an Applied Linguist and TESOL educator in the School of Education at the University of Newcastle, affiliated with the College of Human and Social Futures. Her research focuses on linguistically and culturally diverse educational contexts, critical examination of policy impacts, and praxis-driven approaches to language education. She holds a PhD and has extensive experience in refugee education, forced migration studies, and equity in higher education. Research Interests: Dr. Burke’s work spans sociolinguistics, TESOL curriculum development, and educational equity for marginalized groups. Her recent projects explore the linguistic experiences of refugee/asylum seeker students, ethics in fragile research contexts, and digital empowerment for displaced learners. She employs critical discourse analysis to examine structural inclusion/exclusion mechanisms in education systems. Key Contributions: Her 2023 co-authored book Questioning Care in Higher Education challenges conventional definitions of academic service. Over 26 peer-reviewed articles and 12 book chapters address topics like EMI in Vietnam, mental health in teacher education, and policy barriers for asylum seekers. She has secured $418k in grants including the Scanlon Foundation’s Unity Works initiative supporting refugee employment. Grants & Impact: Leads projects like Refugee Mothers & Children Toolkit (Perpetual Limited, 2021) and co-leads the Co-designing Legal Literacy Resources grant (2024). Her work informs institutional policies on linguistic equity and asylum seeker access to education. Supervision: Supervises 12 current PhD students researching topics from EFL pedagogy in Vietnam to wellbeing in primary education. Her mentorship focuses on ethical research practices in sensitive contexts.
Dr. Ana Garcia Melgar is a Lecturer in Disabilities and Inclusive Education at the School of Education, La Trobe University, Australia. She also holds a Research Fellow position at the Living with Disability Research Centre at the same institution, demonstrating her dual commitment to teaching and research in inclusive education and disability support. Her educational background includes a PhD and a Master of Education from La Trobe University, and a Bachelor of Psychology from the Autonomous University of Madrid, Spain. She is fluent in Spanish and English, enabling broad academic collaboration. Ana's research is centered on inclusive education, with a strong focus on reasonable adjustments for students with disabilities, peer mentoring, and access to mainstream services. She has developed a peer-assisted learning framework grounded in cognitive and social learning theories, which has been applied in programs like the Peer Learning Advisers (PLA) at La Trobe and In2Science mentoring. Her work emphasizes practical interventions to improve teacher capacity and educational equity. Her recent research outputs reveal a consistent trend in evaluating inclusive practices through mixed-methods and experimental designs. She has contributed significantly to the development and validation of the Reasonable Adjustments for Inclusive Education (RAIE) rating scale and has explored online training interventions for educators. Her publications span topics including co-teaching, AAC research in schools, collaborative team approaches, and peer mentoring across school and university contexts. Reliability Testing of the Reasonable Adjustments for Inclusive Education Rating Scale (2024) Toward the Improvement of Inclusive Education via Online Intervention (2023) Collaborative team approaches to supporting inclusion (2022) Peer assisted academic support: mentors’ and mentees’ experiences (2021) Ana has served as a program evaluator for large-scale educational initiatives in Victoria, including school improvement and teacher education programs. She is currently leading a research evaluation of the 'Passions & Pathways' program for Goldfields LLEN and is supported by a grant from the Bertalli Family Foundation (2023–2027), indicating sustained funding for her work. She is affiliated with interdisciplinary teams including the Living with Disability Research Centre and has collaborated extensively with colleagues such as Teresa Iacono, Julie Spong, and Kathy Bagley. Her work aligns with Sustainable Development Goals 4 (Quality Education) and 10 (Reduced Inequalities), underscoring its societal impact.
Sam Abraham is a Professor at Murdoch University, affiliated with the School of Medical, Molecular and Forensic Sciences and leading the Antimicrobial Resistance and Infectious Disease Laboratory under the Centre for Biosecurity and One Health. His research focuses on antimicrobial resistance (AMR), genomics, and robotics in a One Health framework, bridging human, animal, and environmental health. BSc Zoology (2003–2006), Mahatma Gandhi University, India MSc Biotechnology (2006–2007), University of Wollongong, Australia PhD Microbiology (2008–2012), University of Wollongong His research explores AMR dynamics in production animals, zoonotic pathogens, and environmental reservoirs. Recent work includes robotic surveillance systems for AMR tracking, genomic analysis of livestock pathogens, and interventions for infectious disease control. Notable article trends include robotic AMR detection, pathogen genomics in livestock and wildlife, and interdisciplinary approaches combining virology, microbiology, and computational tools. Sam leads teaching and supervisory initiatives in microbiology and One Health, with projects spanning Australia and international collaborations (e.g., Cambodia, Iraq). His lab develops next-generation platforms for AMR surveillance.
