Professor Prabal Datta Barua is an award-winning researcher, academic, and education leader with over 25 years of global leadership experience across higher education, healthcare, information technology, and media. He has authored more than 200 publications in leading international journals, served as a guest editor for numerous journals, and secured over A$5 million in competitive government and industry research funding for research in artificial intelligence, health informatics, education analytics, and ICT-enabled business transformation. Professor Barua holds academic appointments as Adjunct Professor at the University of Southern Queensland (UniSQ), Taylor’s University (Malaysia), and the University of New England (UNE), Honorary Professional/Industry Fellow at the University of Technology Sydney (UTS), and Visiting Professor at SRM University of Science and Technology (India). He also serves on several ICT leadership, governance, and industry advisory committees and is a professional member of the IEEE Computer Society, Australian Computer Society, The CEO Institute, and the Australian Institute of Company Directors. Beyond academia, Professor Barua actively contributes to the community through the Australian Red Cross, the St Vincent de Paul Society, and as a Justice of the Peace (NSW).

Profile: Dr Shadi Jaradat is a Lecturer and Subject Coordinator specialising in Artificial Intelligence. His research focuses on AI applications in intelligent transportation and digital transformation.

Research: Artificial Intelligence, Data Analytics, Intelligent Transportation Systems, Digital Transformation, and Cybersecurity

Profile: Dr Mohammad Sadegh Eshaghi is a marketing lecturer at the Australian International Institute of Higher Education, Australia. His research focuses on consumer well-being, consumer decision-making, marketing analytics, and tourism marketing. His work has been published in Tourism Management, Journal of Consumer Marketing, Journal of Strategic Marketing, Service Industries Journal, and the International Journal of Retail & Distribution Management.

Research Areas: Consumer Psychology, Consumer Well-being, Tourism Marketing, Brand Management, Marketing Analytics

Profile: Mr David Mojarrango is a multidisciplinary Information Systems professional with over 10 years of experience in higher education, EdTech, and cloud infrastructure. Currently completing a PhD in Information Systems focused on digital data integration and recommender systems, he is skilled in teaching, curriculum design, system architecture, and academic coordination, with a strong foundation in system design, project management, and digital transformation.

Profile: Ms Janifer Jabin Jui is a lecturer with over 10 years of teaching experience, specialising in artificial intelligence, cutting-edge technologies, and deep and machine learning. Her research focuses on applying AI to advance healthcare and education, with an emphasis on sustainability and real-world problem solving. She is passionate about leveraging intelligent systems to create meaningful impact and drive innovation across disciplines.

Research Areas: AI in Education and Healthcare

Profile: Mr Aditya Prabhakara Kamath is an Associate Lecturer at AIIHE, serving as the Academic Integrity Officer and Student Learning Support Officer. He supports students through academic guidance, study skills development, and the promotion of ethical scholarship within the higher education environment. Aditya is currently pursuing a PhD in Artificial Intelligence in Healthcare, with a focus on applying machine learning and deep learning methods to improve clinical decision-making and patient-centred outcomes.

Research Areas: AI in Healthcare

Profile: Dr Monika Gambhir is a lecturer with extensive academic experience in Australia and India. She specialises in data analytics, artificial intelligence (AI), and information systems and is passionate about bridging theoretical concepts with real-world applications. She has contributed to curriculum development, academic leadership, and accreditation processes and is committed to fostering innovation, critical thinking, and industry-relevant skills among students.

Research Areas: Data Analysis, AI, AI Agents, Machine Learning, Optimization Algorithms

Profile: Dr Shreya is a Lecturer (Level B) with over five years of teaching experience in Artificial Intelligence, Machine Learning, Computer Vision, Data Analytics, Data Visualisation, Database Management, Cloud Computing, Cybersecurity, Project Management, and other Computer Science (Data Science) subjects. Dr Shreya has taught enterprise learning (micro-credentials), undergraduate, and postgraduate courses across different universities and TAFE institutions in New South Wales. As an experienced Subject Matter Expert (SME), Dr Shreya contributes to curriculum design, course development, and quality assurance and is known for developing and delivering high-quality, research-focused, and industry-relevant curricula that enhance students’ critical thinking, research methodologies, and practical skills. Passionate about guiding students through real-world research projects, Dr Shreya fosters an academic environment that emphasises hands-on learning, innovative assessments, industry relevance, and the Scholarship of Teaching and Learning. Alongside academic roles, Dr Shreya brings practical industry experience in data analysis, ETL processes, and digital marketing analytics.

Research Areas: Employing Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Machine Learning to solve problems across multiple disciplines, including healthcare systems, remote sensing, and education.

Profile: Dimanthinie De Silva is an Information Technology academic and educational researcher with extensive experience in teaching and supporting undergraduate and postgraduate students throughout their transition to the professional environment. Experienced in curriculum development, pedagogical innovation, educational research, and academic administration, Dimanthinie has a strong record of mentoring, industry engagement, and scholarly contributions.

Research Areas: Emerging Technologies and IT Professionals, Digital Transformation and Workforce Adaptation, Graduate Employability and Readiness, IT and Computing Education, Curriculum and Industry Alignment, Higher Education Pedagogy, and Machine Learning.

Profile: Dr Mithila Karmaker is a Senior Lecturer and interdisciplinary researcher with more than seven years of teaching experience across the Australian International Institute of Higher Education, the University of Southern Queensland, and Griffith University. She completed her PhD at The University of Queensland, examining the housing and settlement pathways of migrants in Australia. Her research sits at the intersection of technology, business, and society, with interests in responsible AI, AI ethics and governance, healthcare innovation, human-centred technology, corporate social responsibility, housing, migration, and social inclusion. Her teaching spans business, entrepreneurship, economics, information systems, corporate governance, urban planning, and sustainable development. She is committed to inclusive, engaging education that connects theory with practice and encourages critical and ethical thinking.

Research Areas: Responsible AI and AI Ethics, AI Governance, AI in Healthcare, Human-Centred Technology Adoption, Corporate Ethics and Social Responsibility, Housing and Migration, Migrant Settlement Experiences, Social Inclusion and Belonging, Gender and Housing, Socio-Spatial Inequality, and Qualitative and Mixed-Methods Research.

Profile: Dr Farina Riaz is the Program Coordinator (MIT) and Senior Lecturer at AIIHE, as well as a CSIRO Visiting Scientist. She completed her PhD in Quantum Artificial Intelligence through a joint CSIRO Data61 and University of Southern Queensland collaboration and later served as a CERC Postdoctoral Fellow at CSIRO, specialising in Quantum AI and Quantum Cybersecurity. Her research focuses on quantum generative models for anomaly detection and quantum-enhanced image classification, bridging quantum theory with real-world cybersecurity applications. She is leading CSIRO’s first Industry PhD on Quantum Machine Learning, has contributed to national and international collaborations, and has authored more than 19 peer-reviewed publications. She has received multiple awards, including the Australian Women in Security “Best in Quantum Cyber Champion” Award (2024) and the “Australia’s Most Outstanding in IT Security” Award (2025). She also serves as Quantum Women Lead for Women in AI Australia, Quantum Ambassador, and Technical Advisor with Quantum Australia, contributing to the advancement of Quantum AI, Cybersecurity, and Artificial Intelligence.

Research Areas: Quantum Artificial Intelligence, Cybersecurity, Artificial Intelligence

Profile: Dr Salifu Yusif holds a PhD in Health Informatics and a Master of Project Management from the University of Southern Queensland (USQ), Australia. He is also pursuing a Master of Public Health at the University of Sydney. He was nominated for the prestigious Australian Council of Professors and Heads of Information Systems (ACPHIS) Doctoral Thesis Award in 2018. Dr Yusif is a mid-career researcher and lecturer in Management Information Systems, IT Management, and technology adoption in the healthcare domain. He has more than four years of experience in tertiary education, teaching and mentoring students from diverse backgrounds in both classroom and online environments. He has published in ABDC A-ranked journals and serves as a peer reviewer for A*/Q1 international journals.

Research Areas: Digital Health, Digital Transformation, Project Management, Health Research

Profile: Saad Islam is an AI researcher, computer engineer, educator, and published author. He earned a Bachelor of Science (First Class Honours) in Computer Science and Computer Engineering from North South University (NSU), Bangladesh, in 2019 and was later recognised as the university’s youngest Distinguished Alumnus at age 25 in 2020. He completed a master’s degree in Business Management, Organisations, and Marketing at Macquarie University, Australia, in 2021. In 2022, Saad became the youngest Bangladeshi, at age 27, to be selected for a PhD in Artificial Intelligence at the University of Southern Queensland (UniSQ), Australia, with a full scholarship and stipend. His doctoral thesis, “Automated and Accurate Detection of Retinal Health using Artificial Intelligence,” was featured on UniSQ’s official website in 2023, and his research won the UniSQ Higher Degree Research Symposium in 2024. He is a member of UniSQ’s Advanced Data Analytics Research Laboratory. Beyond academia, Saad is a nationally recognised author whose books have been published by Bangladesh’s largest publisher. Four of his books, published in two languages, have reached national bestseller lists, earning him widespread media recognition since 2019.

Research Areas: Artificial Intelligence, Deep Learning Applications, AI in Healthcare, Marketing Analytics

Profile: Dr Krishna Poudel is a cancer epidemiology researcher and biostatistician based in Australia, with a strong focus on health equity, early diagnosis, and quality of life in cancer care. He is currently a research scholar at Western Sydney University and a lecturer in higher education, teaching Business Statistics, Business Economics, and Business Communication. His research primarily examines childhood and lung cancer, particularly disparities in stage at diagnosis, survival outcomes, and financial burden in low- and middle-income settings. He collaborates with international institutions, including the International Agency for Research on Cancer (WHO), contributing to global cancer research and policy development. He has published in high-impact journals and actively engages in interdisciplinary and international research initiatives aimed at reducing cancer-related inequalities.

Research Areas: Cancer Epidemiology, Biostatistics, Health Equity, Early Cancer Diagnosis, Quality of Life in Cancer Care, Childhood Cancer, Lung Cancer, Cancer Survival Outcomes, Financial Burden of Cancer, Global Health Research, and Health Policy.

Profile: Dr Amir holds a PhD in Marketing, with research focused on social and individual behavioural change journeys, psychological adoption, and the temporal dynamics of concepts and constructs, particularly in developing consumer journey-based strategies. His research begins at the individual consumer level and expands to examine adoption journeys across organisations and society. This perspective applies not only to technology adoption but also to the broader ways people experience and adopt new concepts, products, and practices in various aspects of their lives. He has developed a potentially novel theory to understand and map markets. His research expertise includes advanced conceptualisation and theory development, scale development using multi- and mixed-method approaches, advanced meta-analysis, quantification of qualitative data, qualification of quantitative outputs, experimental validation, and longitudinal research methodologies.

Research Areas: Adoption Journeys and Technology Marketing

Profile: Dr ASM Anam Ullah is an award-winning Senior Lecturer in Business Administration in Australia with over 15 years of experience. He is recognised for his exceptional communication skills and effective classroom management. He holds a Bachelor of Business Administration (BBA), an M.Com in Human Resource Management, and a PhD in Employment and Industrial Relations. Dr Anam has taught at prestigious universities, including the University of Sydney and the University of New South Wales, and has worked with various educational institutions across Australia. His teaching specialisations include Management, Marketing, Project Management, Human Resource Management, and International Business. His research interests encompass globalisation, labour relations, business ethics, women’s empowerment, child labour, and labour issues in sectors such as Bangladesh’s garment industry. Dr Anam has published qualitative research papers in leading international journals and serves as a Reviewing Editor for Springer Nature. He actively engages with both theoretical and practical social issues, writes policy opinion pieces for a major newspaper in Bangladesh, delivers guest lectures, contributes to international seminars, manages high-profile projects, and has authored several books, including edited volumes for Springer and IGI Global.

Research Areas: Employment & Industrial Relations, Women’s Empowerment, Labour Migration, Labour Law, Workers’ Exploitation, Globalisation and Neoliberalism, International Labour Organization (ILO), World Trade Organization (WTO), United Nations (UN), Supply Chain Management, Business Ethics, Ethical Consumerism, Organisational Behaviour, AI in Industrial Relations and Labour Redundancy, Child Labour, and Trade Unionism.

Profile: Mr Hemayet has more than 17 years of teaching experience in the higher education sector, covering Accounting, Economics, Finance, Statistics, and Management subjects. He brings extensive academic experience and a strong commitment to supporting student learning and professional development across a range of business disciplines.

Research Areas: Management Accounting

Profile: Dr Gong Sun is a Lecturer in Marketing with teaching and research interests in consumer behaviour, international marketing, and international management. He has extensive experience teaching undergraduate and postgraduate courses in the disciplines of marketing, management, and business. His research focuses on consumer decision-making, cross-cultural management, and emerging marketing phenomena. He has published papers in leading journals, including the International Marketing Review, Journal of Business Ethics, Journal of Business Research, and International Journal of Market Research.

Research Areas: Consumer Behaviour, International Marketing, International Management, Consumer Decision-Making, Cross-Cultural Management, and Emerging Marketing Phenomena

Profile: Ms Atefeh Saki is a PhD candidate at the University of Queensland with over five years of academic experience in Australia as a lecturer and unit developer. She also brings more than a decade of industry experience in her field, combining practical expertise with academic insight.

Research Areas: Marketing

Profile: Ms Mishall Fatima is an Associate Lecturer in Information Systems at the Australian International Institute of Higher Education. She holds a Master’s degree in Computer Software Engineering and is currently pursuing a PhD in Artificial Intelligence in Education. Her expertise includes Natural Language Processing, the Semantic Web, and Information Systems. Her research focuses on applying Artificial Intelligence to analyse student readiness and learning outcomes in educational contexts. She is passionate about student-centred learning and uses interactive, practical teaching approaches to enhance student engagement.

Research Areas: Artificial Intelligence, Education

Profile: Dr Jisha Sunny Manjaly is an experienced academic professional with more than 16 years of tertiary-level teaching experience and 2 years of experience in the IT industry. She holds a PhD in Big Data, a Master of Technology in Computer Science and Engineering (Information Systems), and an MBA in Finance. She has published extensively in high-impact international journals and IEEE conference proceedings. Dr Manjaly is proficient in programming languages including Python, Java, R, .NET, C, and C++, and has extensive experience with educational technologies such as Moodle, Blackboard, Canvas, iLearn, Ed, Zoom, and Microsoft Teams. She has hands-on experience with SQL Server, MySQL, MongoDB, NodeJS, Tableau, SAS Analytics, IBM Watson, Power BI, KNIME, Jupyter Notebook, Spyder, RStudio, Visual Studio, Miro, Jira, Asana, and cloud services including AWS Lambda, S3, EC2, RDS, and DynamoDB. Her academic expertise includes course design, unit coordination, assessment moderation, peer review, project supervision, and academic administration. She is a professional member of ACS, ASCILITE, and ISTE, and holds a Certificate IV in Training and Assessment as well as a Working with Children Check.

Research Areas: Artificial Intelligence

Profile: Researcher and educator specialising in marketing, analytics, and innovation, with extensive experience across industry and higher education. Skilled in data analysis, market insights, and evidence-based decision-making, using tools such as Power BI, SQL, Python, and R. An experienced lecturer and trainer, with a strong background in teaching business, analytics, and research methods at multiple universities in Australia and the United Kingdom.

Research Areas: Marketing, Marketing Data and Metrics, Innovation, and New Product Development (NPD)