Associate Professor of Chemical Engineering
Smart Systems Engineering and Design
SMARTLY AND INTELLIGENTLY MANAGING AND DESIGNING MANUFACTURING SUPPLY CHAIN NETWORKS
Process systems engineering (PSE) deals with the design, operation, control and optimization of various chemical, physical, and biological processes by resorting to systematic computer-aided approaches. For industrial applications, PSE techniques can be applied to design and analyze various manufacturing networks and supply chains for strategic operation and management.
SYSTEMATICALLY UNDERSTANDING AND DESIGNING GENES, PROTEINS, CELLS AND THEIR INTERACTIONS AT HOLISTIC LEVEL
Main research focus is placed on elucidating complex biological parts/systems and improving/designing their characteristics and properties towards biotechnological and healthcare applications. The central task of this bigdata- and hypothesis-driven research is to comprehensively collect, manage and analyze the global cellular information, e.g., high-throughput omics data, and to generate predictive computational models of the intricate biological processes, i.e., metabolic, signaling and regulatory networks. Thus, better understanding the cellular physiology, regulation and metabolism as well as multi-cellular interactions at the systems level and subsequently designing strategies for achieving desirable states are a prime target of this research. To this end, we can exploit various PSE techniques (statistical analysis, machine learning, mathematical modeling, process control and systems optimization). Current applications include, but not limited:
- Bioprocess Digital Twin for advanced biomanufacturing
- Gut, soil, food and skin microbiome and (synthetic-) microbial community interactions for health, environment, biotechnological and cosmetic applications