IEEE Fellow、罗切斯特大学Gaurav Sharma教授系列学术报告通知

2019-03-12 16:27

 

    

应计算机科学与技术学院院长王亚东教授邀请,在国际合作部国际项目管理中心支持下,IEEEFellow、美国罗切斯特大学Gaurav Sharma教授即将于2019311-2019324日访问我校。访问期间将在我校开展三场学术报告。欢迎感兴趣的老师和同学参加。

报告一:

报告时间:315 09:00-10:30

报告地点:新技术楼618

报告主题:Publication Etiquette and Ethics:Things You Should Know Before Submitting Your Next Paper

主要内容:

Publishing a research paper is usually an exciting experience for most researchers. In this excitement, it is important to not forget that the writing process for the first few manuscripts also often lays the ground for future habits. This presentation, intended for authors unfamiliar with the process of publishing a technical paper, provides a guide to established etiquette and ethics in scholarly publishing.

 

报告二:

报告时间:315 14:00-15:30

报告地点:新技术楼618

报告主题:Imaging Arithmetic: Physics U Math > Physics + Math

主要内容:

For several real-world problems, signal and image processing approaches are most successful when they combine the insight offered by the physics underlying the problem with the mathematical framework and tools inherent in digital signal and image processing. Electronic imaging systems are a particularly fertile ground for problems in this class because they deal specifically with the capture of physical scenes and with the reproduction of images on physical devices. In this presentation, we highlight specific examples of problems in electronic imaging for which the combination of physical insight, mathematical tools, and engineering ingenuity leads to particularly elegant and effective solutions.

 

报告三:

报告时间:322 14:00-15:30

报告地点:新技术楼618

报告主题:Large Scale Visual Data Analytics for Geospatial Applications

主要内容:The widespread availability of high resolution aerial imagery covering wide geographical areas is spurring a revolution in large scale visual data analytics. We present results from our recent research in this area covering three topics. First, we describe a novel method for pixel accurate, real-time registration of vector roadmaps to WAMI imagery based on moving vehicles in the scene. Next, we present a framework for tracking WAMI vehicles across multiple frames by using the registered roadmap and a new probabilistic framework that allows us to better estimate associations across multiple frames in a computationally tractable algorithm. Finally, in the third part, we highlight, how we can combine structure from motion and our proposed registration approach to obtain 3D georegistration for use in application such as change detection.

讲者介绍:

http://ipo.hit.edu.cn/UploadFiles3/1546583996621.jpg

Gaurav Sharma教授

1996年,在北卡罗来纳州立大学获得电气和计算机工程博士学位。从1993年到2003年,在纽约韦伯斯特的施乐创新集团任职,最近担任首席科学家和项目负责人。研究领域包括数据分析、网络物理系统、信号和图像处理、计算机视觉和媒体安全;他拥有52项专利,并撰写了200多份期刊和会议出版物。

IEEE FellowSPIE Fellow、成像科学与技术学会(I&T Fellow。担任罗切斯特大学电子与计算机工程系教授、数据科学卓越中心(CoE)杰出研究员、Goergen数据科学研究所卓越中心杰出研究员。

罗切斯特大学建立于1850年,是一所美国著名的私立研究型大学新常春藤联盟之一,北美大学协会(AAU)成员、世界大学联盟成员。该校7位学者是美国国家科学院院士,18位学者是美国文理研究院院士。

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