Master of Business Analytics: Who you'll learn from

Ida Asadi Someh is a Senior Lecturer in the Business Information Systems discipline at UQ Business School and Master of Business Analytics program leader. Her research focuses on organisational and societal impacts of data, analytics and artificial intelligence and she is a member of the UQ Service Innovation Alliance and Trust, Ethics and Governance Alliance research hubs.

As featured in:

• Tackling the dangers of big data
• 5 leadership trends that will transform the way you perform under pressure in 2022
• How to avoid algorithmic decision-making mistakes: lessons from the Robodebt debacle
• The information systems expert challenging gender imbalance

Morteza Namvar is an Assistant Professor (Lecturer) in the Business Information Systems discipline at UQ Business School. Morteza is a dedicated Machine Learning (ML) scholar and specialist. Joining the business school, he brought the experience and knowledge of computer science and IT engineering to the business research. In his studies, Morteza either uses ML techniques, or he improves and optimise them to solve business problems. Morteza has had success in attracting several external funding in Natural Language Processing (NLP) projects. He has led teams at UQ in several machine learning (ML) projects with industry partners, including Medical Protection Society (MPS). In these projects, he applied the NLP techniques he has developed in his research to the text data to help the industry in improving their strategies. He had success in winning the prestigious UQKx&T grant. Morteza’s works are published in top-tier IS and computer science journals and conferences.

Katie Williams is a senior lecturer in the Business Information Systems discipline at UQ Business School. She is experienced across the public and human services sectors both domestically and internationally, having been a KPMG Partner for many years. Katie’s teaching focus lies in shaping the Master of Business Analytics curriculum and assisting with Executive Education development. Her research interests include AI maturity frameworks, information security risk management, and business analytics for assurance. 

Micheal Axelson is a senior lecturer in the Business Information Systems discipline at UQ Business School. He is also the Program Leader for the Master of Commerce. His main research areas explore the use of intelligent decision aids, Information Systems audits, and Information Technology (IT) governance.
 

As featured in:

• When it comes to ransomware, it’s sometimes best to pay up

Hassan Khosravi  is the Academic Lead – Learning Analytics at UQ’s Institute for Teaching and Learning Innovation. As a computer scientist by training, Hassan is passionate about the role of artificial intelligence in the future of education. His research employs techniques from the fields of machine learning, educational data mining and learning analytics to enhance the student learning experience. 

As featured in:

• Development of Cost-Effective Adaptive Educational Systems via Crowdsourcing
• The Ripple effect: making waves in teaching and learning
• How should UQ deal with the educational data revolution?

Gianluca Demartini is an Associate Professor in data science at UQ’s School of Information Technology and Electrical Engineering. His research is currently funded by the Australian Research Council, Facebook, and Google. His main research interests include Information Retrieval, Semantic Web, and Human Computation. He has published more than 150 peer-reviewed scientific publications.

Allison Fish is Senior Research Fellow at the Centre for Policy Futures in the Faculty of Humanities and Social Sciences at UQ. Her research interests lie at the intersections of law, anthropology, and social informatics. Allison’s expertise covers the fields of intellectual property, the development of open access and open source models, and the introduction of new technologies into highly regulated workflows. Her work is supported by the Australian Research Council and CSIRO’s Future Science Platform on Responsible Innovation.
 

Marten Risius is a senior lecturer in the Business Information Systems discipline at UQ Business School. His work focuses on the digital transformation of business and society driven by social media and blockchain technologies. Dr Risius has been recognised as a leading emergent scholar by various national and international awards.

As featured in:

• Navigating misinformation, echo chambers, and fake news 
• Can fake news go the way of spam? 
• The value of cryptocurrencies is worth affirming, but the Matthew effect is too obvious 

Ash Rahimi is a computer science lecturer at the UQ School of Information Technology and Electrical Engineering. His research interests lie in natural language processing, social network analysis, and machine learning. By using structured and unstructured data, Ash’s research focuses on helping machines interpret conversational language in emergency situations and health informatics. He worked in industry between 2006 and 2010 and regularly publishes his research results in top National Language Processing conferences.

Rocky Tong Chen is a lecturer in Business Analytics at UQ’s School of Information Technology and Electrical Engineering. His research specialities lie in data mining, recommender systems, predictive analytics, machine learning, and health informatics. His research work has been published at various peer-reviewed conferences.

Thomas Christy is a lecturer at UQ’s School of Information Technology and Electrical Engineering. His cross-disciplinary research areas include psychology, electronic engineering, computer science, and physiology. Thomas’ research interests lie in affective computing, machine learning, artificial intelligence, and visualisation technology.