(searched for: 10.29328/journal.ijcv.1001043)
Published: 4 March 2022
International Journal of Clinical Virology, Volume 6, pp 011-016; https://doi.org/10.29328/journal.ijcv.1001043
There are global concerns in the dissemination and transmission dynamics of emerging and reemerging infectious diseases and the underlying features of gain-of-function research and geopolitics within and across borders. These concerns have become pertinent in the management of local and global health because the disease is perspicuously a geopolitical issue ostensibly linked to gain-of-function research where health diplomacy focuses on the present and future global emergence and re-emergence of infectious diseases, pandemics, and microbiome variants. These have generated vehement reactions with a propensity for extreme geopolitics and gain-of-function natural and anthropogenic activities. Geopolitical parameters and gain-of-function issues impact the social determinants of health and vice versa. The convening and convergence of countries for unprecedented epidemic or pandemic treaty settings or other formulations to confront emerging and reemerging infectious diseases will afford considerable opportunities concerning challenges in action, preparedness, and response. Provisions are pertinent for legal instruments, effective and efficient systems to curb future threats and outbreaks of infectious diseases.
Published: 20 July 2017
The paper gives futuristic challenges disscussed in the cvpaper.challenge. In 2015 and 2016, we thoroughly study 1,600+ papers in several conferences/journals such as CVPR/ICCV/ECCV/NIPS/PAMI/IJCV.
Published: 9 June 2014
Periodically, the US Army conducts detailed measurement surveys of its soldiers as a way to understand the impact that changes in soldier body size have for the design, fit and sizing of virtually every piece of clothing and equipment that Soldiers wear and use in combat. Recently finished US Army Anthropometric Survey (ANSUR II) has collected 3D body scan data of soldiers at the Natick Solider Center (NSC), as shown in Figure 1. By applying new techniques for shape analysis and classification to these 3D body scan data will help designers of clothing and personal protection equipment to understand and fit Army population. The overall research goal of this proposal is to create a new manifold learning framework for large-scale graph decomposition and approximation problems by low-rank approximation and guarantee computable, stable and fast optimizations for 3D shape description and classification. The PI's group has published (or accepted for publication) 1 book through Springer and 13 scientific papers partially supported by this grant. In particular, these papers are in top journals and conference proceedings such as TPAMI, IJCV, TCSVT, ICCV, AAAI, SDM, ACM MM, etc. One paper, 1 out of 384, receives the Best Paper Award in SDM 2014. The PI, Dr. Y. Raymond Fu has received the 2014 INNS Young Investigator Award, from International Neural Networks Society (INNS), 2014. Leveraged by this grant, the PI has been granted an ARO Young Investigator Program (YIP) Award and a Defense University Research Instrumentation Program (DURIP) award.