Javier Cámara, an Associate Professor in Computer Science at the University of Málaga, shares insights on integrating machine learning with quantitative verification for self-adaptive IoT systems. He discusses the evolution of his work and emphasizes the importance of collaborative research. Cámara also addresses the challenges of managing IoT during real-world events, highlighting the need for effective decision-making frameworks. Additionally, he provides advice on structuring research papers to enhance clarity and comprehension, advocating for thoughtful placement of sections to aid reader understanding.