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| Director: Prof. Andreas A. Linninger |
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| Intracranial dynamics of the human brain | ||||||||||||||||||||||||||||||||||||||||||||||
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Andreas Linninger, Michalis Xenos, Srini Kondapalli and Mahadevabharath R. Somayaji |
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| We use clinical data and medical analyses to develop a dynamic model for the pulsating flow of the cerebrospinal fluid. A better understanding of the dynamics of the fluid flow is expected to improve treatment of hydrocephalus | ||||||||||||||||||||||||||||||||||||||||||||||
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Drug delivery into the human brain Andreas Linninger, Mahadevabharath R. Somayaji, Michalis Xenos |
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Our research focuses on understanding the transport mechanism of therapeutic drugs and various drug infusion policies for the treatment of neurological diseases ranging from brain tumors, epilepsy to Parkinson’s disease. Specific attention is given to emerging inversion problem techniques capable of adjusting the design variables of the therapy to the desired targets specified by the physician. |
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Design
and synthesis of separation system
Libin Zhang and Andreas Linninger The PRODUCTS-ONLY defines is business objective by maximizing its profit from the entire product portfolio instead of the limited attention to a single product. Novel more adaptable manufacturing requires fast and reliable design methodologies capable of determining feasibility or impossibility of desired separation targets. Ideally, fully automatic computer programs should perform optimal mapping of all process streams into the changing product portfolio. |
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| Genetic algorithm for column sequencing | ||||||||||||||||||||||||||||||||||||||||||||||
| Yongsheng Gan, Libin Zhang, Andreas Linninger | ||||||||||||||||||||||||||||||||||||||||||||||
| Basing on the initial individual chromosomes invented randomly within different definitions, children chromosomes are cultivated by arithmetic crossover and nonuniform dynamic mutation. Genetic Algorithms is applied to find the optimal column sequencing for recovering solvent from pharmaceutical wastes stream. | ||||||||||||||||||||||||||||||||||||||||||||||
| Design and control under uncertainty | ||||||||||||||||||||||||||||||||||||||||||||||
| Jeonghwa Moon, Libin Zhang and Andreas Linninger | ||||||||||||||||||||||||||||||||||||||||||||||
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| Daily process operations are impacted by several short and long-term uncertainties like daily fluctuations and seasonal variations in production levels, such as feed shock compositions or change in services quality. In order for the process to handle deviations from nominal condition the effect of uncertainties should be adequately incorporated in the conceptual design phase. | ||||||||||||||||||||||||||||||||||||||||||||||
| Combinatorial process synthesis | ||||||||||||||||||||||||||||||||||||||||||||||
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Aninda Chakraborty, Andres Malcolm and Andreas Linninger | |||||||||||||||||||||||||||||||||||||||||||||
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In pharmaceutical and specialty chemical manufacturing, complex multi-stage chemical reactions and stringent product purity requirements often leads to high waste to product ratios. Seasonal variations and fluctuations in product demands contribute to the large degree of uncertainty associated with the operating conditions and process streams. |
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| Multiphase flows using CFD Andreas Linninger, Romeo Ibrahim and Michalis Xenos |
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In computational fluid dynamics, we are interested in solving heat and mass transfer problems in chemical engineering processes. A new research area is the development of reliable computational algorithms for fluid-structure interaction such as they occur in gas bubbles or elastic membranes. We are also studying multiphase phenomena such as precipitation, condensation, etc. These are important for control of VOC emissions in the pharmaceutical industry. | |||||||||||||||||||||||||||||||||||||||||||||
| Prior Research Projects | ||||||||||||||||||||||||||||||||||||||||||||||
