This project aims to develop and implement advanced process control strategies for continuous chemical processes to improve product quality, energy efficiency, and production throughput. The research will focus on the application of model predictive control, adaptive control, and other advanced control techniques to enhance the performance of continuous chemical processes. The project outcomes will contribute to the development of robust and adaptive control systems for various industrial applications.
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This research explores how organizations can make HR practices more resilient and dynamic in the face of rapid changes such as technology disruption, demographi...
This research investigates how rural households connected to both farming and provincial markets build resilience to shocks and stresses. It addresses the gap b...
This research explores how isotopic signatures can be integrated into thermochronology studies of sedimentary basins to better understand their thermal historie...
This research explores how to build and apply a theoretical framework for evaluating the ethics of artificial intelligence (AI) used in business settings. It as...
The research topic explores how cities can manage the interconnected systems of water, energy, and waste more effectively by using a resilience-framing framewor...
This research explores a resilience-framing framework for urban environmental management systems, focusing on how cities plan for, respond to, and learn from en...
The research investigates how speakers manage meaning across languages in multilingual settings by proposing a Pragmatic-Narrative Alignment Model. It aims to e...
A Framework for Cross-Sensory Narrative in Contemporary Art Design is about how artists combine multiple senses—such as sight, sound, touch, and even smell or...
This research explores designing and validating a framework that combines data from multiple sensing modalities to predict hazards in real time. The central ide...