Mathematical Modelling & Intelligent Systems for Health & Environment

MISHE (the Centre for Mathematical Modelling and Intelligent Systems for Health and Environment) is a multidisciplinary research centre at the Atlantic Technological University that brings together experts from Engineering, Science, and Social Science. Their collective focus is on harnessing sensing technologies, modelling techniques, and intelligent systems to address key challenges aligned with the UN Sustainable Development Goals. These include enhancing climate resilience, promoting sustainable production, advancing clean energy solutions, and ensuring high-quality healthcare for all. The Centre for Mathematical Modelling and Intelligent Systems for Health and Environment applies its expertise across various fields. As a multidisciplinary research centre specialising in applied research, MISHE explores a wide range of applications. Examples of the different areas its researchers are actively engaged in include:
Environmental Monitoring and Modelling

Environmental Monitoring and Modelling involves tracking and analysing environmental conditions using data from sensors, satellites, and field studies. It helps predict climate trends, assess pollution levels, and manage ecosystems. By integrating real-time data with computational models, scientists and policymakers can make informed decisions to protect natural resources and human health.

Autonomous Systems

Autonomous systems are self-governing technologies that operate without direct human control. Using sensors, artificial intelligence, and real-time data processing, they can make decisions and adapt to their environments. Examples include driverless vehicles, robotic manufacturing, and unmanned drones. These systems enhance efficiency, reduce risks, and support complex tasks in various industries.

Medical Diagnostics and Medical Devices

Medical diagnostics and medical devices encompass technologies used to detect, monitor, and treat health conditions. Diagnostics include tests such as blood analysis and imaging scans, aiding accurate disease identification. Medical devices, from pacemakers to surgical instruments, support patient care, improving treatment outcomes and enhancing healthcare efficiency through innovation and precision.

Sustainable Mobility

Sustainable mobility focuses on eco-friendly transport solutions that reduce environmental impact while meeting society’s travel needs. It promotes efficient public transport, low-emission vehicles, cycling, and walking. By integrating smart technologies, renewable energy, and urban planning, sustainable mobility supports cleaner air, reduced congestion, and a healthier, more accessible transport system.

Materials Modelling and Discovery

Materials modelling and discovery involve using computational techniques to predict and design new materials with desirable properties. Scientists analyse atomic structures, simulate behaviours, and optimise compositions for applications in engineering, healthcare, and technology. This process accelerates innovation, enabling stronger, lighter, and more sustainable materials for industry and scientific advancements.

Smart Agriculture

Smart agriculture integrates technology to optimise farming efficiency and sustainability. It uses sensors, AI, and automation to monitor crops, manage resources, and enhance yields. Precision farming, drone surveillance, and climate-adaptive strategies help reduce waste, conserve water, and improve productivity, supporting environmentally friendly and resilient food production for future generations.