Purpose: To suggest how business schools can respond when generative AI automates routine, entry-level tasks and erodes early-career opportunities. The paper addresses a focused question: What can a business school do when graduates’ entry-level jobs are replaced or reconfigured by AI? Approach: This …

Industrial Cyber-Physical Systems (CPS) are sensitive infrastructure from both safety and economics perspectives, making their reliability critically important. Machine Learning (ML), specifically deep learning, is increasingly integrated in industrial CPS, but the inherent complexity of ML models results …

The use and adoption of Artificial Intelligence (AI) in our society is growing rapidly (Maslej 2025). Alongside this growth, the importance of specific ‘competencies’ that users need to effectively interact with and critically evaluate AI is becoming increasingly important (Long en Magerko 2020). This …

This paper addresses the challenge faced by call center operators supporting family members of individuals with Substance Use Disorders (SUDs), particularly the difficulty of detecting emotional distress in callers during high-pressure interactions. We developed a lightweight, real-time Speech Emotion …

Human-centered AI must confront tensions between mutually incompatible fairness definitions and fairness requirements of algorithmic decision-making (ADM) systems. To investigate how people perceive this trade-off and how this perception can guide engineering requirements, we determine the underlying …

This chapter examines how Australian businesses operating in Singapore navigate digital transformation within the context of international operations. As digital technologies reshape the global business landscape, companies are increasingly leveraging tools such as cloud computing, artificial intelligence, …

Tracheostomy is a life-saving procedure with complications often linked to suboptimal tracheostomy tube fit. Customised tubes could reduce these risks, but their development requires precise tracheal morphometric data. This study presents an automated workflow for extracting high-resolution tracheal …

This seminar presents a multidisciplinary research path connecting materials science, nanotechnology, and sensor systems. It begins with earlier work on the development and characterization of functional materials, focusing on lead-free piezoelectric materials. The second part introduces ongoing research …

Road markings play a crucial role in road safety by guiding traffic and ensuring visibility. As markings deteriorate over time, their effectiveness diminishes, necessitating timely maintenance. This paper studies two methods to classify road-marking damage from recorded images, in accordance with the …

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