SGER: Automated Shape Composition Via Genetic Programming

该SGER项目侧重于一个具有挑战性、新颖和重要的研究课题。该项目建立、扩展并结合了来自两个不同学科（细胞动力学研究和遗传编程）的技术，以形式化和实现几何自组织的算法结构。将精力集中在生物学、工程学和计算机科学交叉的项目上，将推动生物计算这一新兴领域的发展。实现这一技术目标的重要性可以通过利用自组织的力量（趋化模拟，组织工程，计算机辅助几何设计和群体机器人）的应用数量来突出。PI是一位有成就的研究人员，他受过物理和计算科学方面的培训，在基于局部相互作用的微观结构的模拟方面具有特定的专业知识，以及管理大型长期合作项目的经验。该项目获得了成功执行所需的大量计算和人力资源。该提案描述了一个多学科项目，将计算生物学、几何建模和进化计算等活动结合在一起。SGER的支持将使PI能够评估将趋化性模拟与遗传编程相结合的可行性，从而产生受生物学启发的几何建模技术。它将创建一个由学生和教师组成的多元化团队，在一个独特的技术枢纽进行研究。它将培养新的研究途径，将细胞生物系统的概念纳入计算解决方案和算法。该项目的推广计划建立在与费城市中心学校建立的合作伙伴关系的基础上，并将使未被充分代表的少数民族接触到计算机和生物学的最新趋势。该计划的目标是激励年轻学生参与新发展的生物计算领域。PI在他的研究中有让妇女和少数民族参与的良好记录。这一承诺将在本项目中持续下去。该项目将在德雷塞尔大学工程学院、生物医学工程学院和医学院之间建立强有力的合作关系，创造新的学术协同效应。研究结果将通过出版物、会议报告、网络材料和社区外展活动广泛传播。鉴于形态原语在组织工程、机器人技术、传感器网络和计算生物学中的应用，它们有望在工程、医学、卫生保健和基础生物科学领域提供巨大的社会效益，同时也为几何计算机辅助设计提供了一种新的方法。

This SGER project focuses on a challenging, novel and important research topic. The project builds upon, extends and combines technologies from two disparate disciplines (study of cell kinetics and genetic programming) to formalize and implement the algorithmic constructs of geometric self-organization.Focusing effort on a project at the intersection of biology, engineering and computer science will advance theemerging field of bio-computing. The importance of achieving this technical goal is highlighted by the numberof applications that can benefit from harnessing the power of self-organization (Chemotaxis Simulation, Tissue Engineering, Computer-Aided Geometric Design and Swarm Robotics). The PI is an accomplished researcher who has training in both the physical and computing sciences with specific expertise in simulations based on locally-interacting microstructures, as well as experience in managing large long-term collaborative projects.The project has access to the substantial computing and human resources needed for its successful execution This proposal describes a multi-disciplinary project that brings together activities in computational biology, geometric modeling and evolutionary computing. SGER support will allow the PI to assess the feasibility of combining chemotaxis simulation with genetic programming in order to produce biology-inspired geometric modeling technologies. It will create a diverse team of students and faculty to conduct research at a unique technical junction. It will foster new avenues of research that incorporate concepts from cellular biological systems into computational solutions and algorithms. The project's outreach program builds upon established partnerships with Philadelphia inner-city schools and will expose under-represented minorities to the latest trends in computing and biology. The goal of the program is to inspire young students to become involved in the newly developing field of bio-computing. The PI has a strong track record of involving women and minorities in his research. This commitment will be sustained within this project. The project will reach out to build strong collaborations between groups within Drexel University's College of Engineering, School of Biomedical Engineering and College of Medicine, creating new scholarly synergies. The results will be disseminated widely through publications and conference presentations, web material, and outreach activities to the community. Given the application of Morphogenic Primitives to tissue engineering, robotics, sensor networks and computational biology, they promise to provide substantial societal benefits in the areas of engineering, medicine, health care and the basic biological sciences, as well as launch a new approach to geometric computeraided design.