Meetings

The 13th Symposium on Polar Science, hosted by the National Institute of Polar Research (NIPR), Tokyo, Japan, will be held with an Online Meeting System from November 15 to 18, 2022. This annual symposium aims to present and promote a wide variety of polar scientific research and interdisciplinary studies.

POSTECH Signature Conference 2022 will be held on October 11 – 12 at POSTECH. The conference invites top medical scientists and engineers around the world to exchange ideas across different fields.

As part of the Belmont Forum-funded Sustainable Agriculture Matrix (SAM) Consortium led by the University of Maryland, Center for Environmental Science, the African Plant Nutrition Institute (APNI) with the National Institute of Agronomic Research (INRA) organized a workshop in Marrakech, to engage key stakeholders and partners to develop a narrative for the sustainability of olive-based food systems in Morocco.

In celebration of Newborn Screening Awareness Month in September, NBSTRN is excited to host its annual 2022 Newborn Screening Research Summit: Newborn Screening Research: Efforts to Understand Genetic Information and Novel Technologies in Screening, Diagnosis & Treatment on September 28-29, 2022, from 12-5pm (EST). The event is free, but you must register at https://nbstrn.org/2022-nbs-research-summit

Researchers have developed a new laser-based technique that can simultaneously perform lidar and remote chemical measurements. Lidar, which stands for light detection and ranging, uses a laser to measure distances, or ranges. Adding chemical information to lidar measurements could be useful for applications like remote chemical mapping, detecting trace amounts of chemicals, monitoring industrial processes and quality control. Samanta from Nokia Bell Labs will present the research at the Frontiers in Optics + Laser Science Conference (FiO LS).

Researchers have developed a new end-to-end neural network that can speed up the reconstruction of holographic images. Unlike other deep learning techniques, the approach can be used on samples not encountered during training, making it particularly useful for label-free holographic biomedical imaging. Hanlong Chen and Aydogan Ozcan will present the research at the Frontiers in Optics + Laser Science Conference (FiO LS).