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Topic Areas

We selected three new topics for the oral presentations : Biophotonics, Light-Matter Interactions and A.I. & Photonics. We encourage everyone in the optics community to submit high-quality posters, even if they are not within one of the three core topics. The three thematic topic areas of POM 2020 are described below. Abstract submission is here. The program is located here.


Chair: Prof. Andrea M. Armani, University of Southern California, Los Angeles, USA

Members: Dr. Dana Cialla-May, Leibniz Institute of Photonic Technologies, Germany. Prof. Imran Cheema, Lahore University of Management Sciences, Pakistan

Considering the recent pandemic of covid-19, innovative and translational solutions are becoming extremely important for a plethora of problems in the global health care sector. This session will focus on recent advances in diagnostic technologies with emphasis on translational efforts. Of particular interest are approaches for the detection and monitoring of environmental pathogens and disease agents for both high and low resource settings.

Invited Speaker: Hatice Altug, EPFL, Switzerland

Light-Matter Interactions

Chair: Prof Igor Aharonovich, University of Technology Sydney, Australia

Members: Prof Paolo Biagioni, Politecnico di Milano, Italy. Prof Marina Radulaski, UC Davis, USA

This session will focus on novel light-matter interaction mechanisms, their experimental characterization, and their exploitation for future nano-photonic devices. Emphasis will be given to cavity-emitter interactions (point defects, molecules, nano-crystals, 2D materials), strong coupling in polaritonic systems, nanoscale nonlinear processes, and hot-carrier excitations in metal nanoparticles.

Invited Speaker: Qihua Xiong, Nanyang Technological University, Singapore

A.I. & Photonics

Chair: Prof Sylvain Gigan, Sorbonne Universite, France

Members: Dr Jacques Carolan, Neils Bohr Institute, Denmark. Prof Laura Waller, UC Berkeley, USA

This session will focus on the interplay between Artificial Intelligence (AI) and photonics. This includes not only machine learning approaches to photonic design, imaging, or sensing, but also photonic computing architectures, including but not limited to neuromorphic computing, optical neural networks, Ising solvers and quantum machine learning.

Invited Speaker: Marin Soljačić, MIT, USA