Computational Approaches for Urban Environments

Autonomous driving in urban environments: approaches, lessons and challenges.

The development of autonomous vehicles for urban driving has seen rapid progress in the past 30 years. This paper provides a summary of the current state of the art in autonomous driving in urban environments, based primarily on the experiences of the authors in the 2007 DARPA Urban Challenge (DUC). The paper briefly summarizes the approaches that different teams used in the DUC, with the goal ...

Pedagogical Approaches for Online Environments

Computational Approaches for Biomarker Discovery

Computational biology plays a significant role in the discovery of new biomarkers, the analyses of disease states and the validation of potential biomarkers. Biomarkers are used to measure the progress of disease or the physiological effects of therapeutic intervention in the treatment of disease. They are also used as early warning signs for various diseases such as cancer and inflammatory dis...

Computational approaches for systems metabolomics.

Systems genetics is defined as the simultaneous assessment and analysis of multi-omics datasets. In the past few years, metabolomics has been established as a robust tool describing an important functional layer in this approach. The metabolome of a biological system represents an integrated state of genetic and environmental factors and has been referred to as a 'link between genotype and phen...

Opportunities for integrating public health and urban planning approaches to promote active community environments.

The growing emphasis on promoting environmental change as a means to increase physical activity has motivated conversation and collaboration between researchers and practitioners in the fields of public health and urban planning. Although these fields share similar objectives, their methodological approaches for examining the association between the environment and behavior often differ in sign...