Events
Optical Sensors
25 June 2019 – 27 June 2019 San Jose McEnery Convention Center, San Jose, California United States
Optical sensors have many applications in R&D, national defense and commercial markets such as medical diagnostics and process control. But because of the breadth of applications for optical sensors, the challenges to the design and functioning of an optical sensor for a particular application requires knowledge of optical, material, and environmental properties that affect sensor performance. SENSORS addresses all aspects of optical sensors from source and detection technologies, sensor configurations, and processing approaches to applications. These optical sensors range from micro-probes to large devices used for standoff monitoring of industrial and environmental species.
Topics
- Optical Fiber Sensors
- Laser Based Sensors
- Optical Chemical and Biological Sensors
- Biomedical Optical Sensors
- Micro and Nano-Engineered Sensors
- Planar Waveguide Sensors
- Mid- and Long-wavelength IR Sensors
- Quantum Effects in Optical Sensing
- Nanophotonic and Plasmonic Biosensors
- Frequency Comb-based Sensors
- Non-Chemical Sensors for Defense
- Aerospace Sensors
- Sensing for Food Quality Control
- Hyperspectral sensors
Speakers
- Tuan Vo-Dinh, Duke University, United States
Plasmonic Biosensors: Harnessing the Enhanced Power of Light with Biosystems Tutorial - Alexandre Brolo, University of Victoria, Canada
Intensities Fluctuations in Single-Molecule Surface-Enhanced Raman Scattering - George Chen, University of South Australia, Australia
Sensitized Light Pipes: Multimode Fibers Empowered by Skew Rays - Michael Angelo-Anthony Daniele, Clemson University, United States
Microsystems for Measuring Oxygen Using Tissue Integrated Phosphorescence-Based Soft Sensors - Lukas Emmenegger, EMPA, Switzerland
Environmental and industrial trace gas sensing using quantum cascade lasers - Simon Fleming, University of Sydney, Australia
Polyurethane Optical Fibre Sensors - Jess Ford, Weatherford International Ltd, United States
Downhole Sensing: 177 C Are you Kidding? - Fuxing Gu, Univer. of Shanghai for Science and Tech, China
Mode Modulation in Microbottle Cavities and Its Sensing Applications - Bahram Jalali, University of California Los Angeles, United States
Time-stretch LiDAR - Jungwon Kim, Korea Advanced Inst of Science & Tech, South Korea
Femtosecond Laser-Based Time-of-Flight (TOF) Sensors - DOMNA KOTSIFAKI, National Technical University of Athens, Japan
- Gary Miller, US Naval Research Laboratory, United States
Distributed Bragg Reflector Fiber Lasers for Acoustic Sensing - Yosuke Mizuno, Tokyo Institute of Technology, Japan
Brillouin Optical Correlation-Domain Reflectometry: State-of-the-Art and Future Challenges - Tanya Myers, Pacific Northwest National Laboratory, United States
Stand-off Detection of Minerals in the Long-wave Infrared - Sile Nic Chormaic, Okinawa Inst of Science & Technology, Japan
Optical Fiber and Plasmonic Based Sensors for Trapping and Imaging Applications - Claudio Oton, Scuola Superiore Sant Anna di Pisa, Italy
Micro-interferometers on Chip for Sensing Applications - Junsuk Rho, POSTECH, South Korea
Artificial Chirality Evolution in Micro-/nano-scale 3D Plasmonic Metamaterials - Mark Stephen, NASA Goddard Space Flight Center, United States
Laser-based Remote Sensing of Atmospheric Carbon Dioxide - Daniele Tosi, Nazarbayev University, Kazakhstan
Multiplexing Techniques and Applications in Fiber-optic Spatially Resolved Sensing Networks - J. Gonzalo Wangüemert-Pérez, Málaga University, Spain
Enhanced Sensitivity Subwavelength Grating Waveguides for Silicon Photonics Sensing Applications - Natalie Wisniewski, Profusa, Inc., United States
Combining a Minimally Invasive Injectable Hydrogel Sensor with a Non-invasive Wearable Device for Human Performance and Health Management - Fei Xu, Nanjing University, China
Flexible Fiber Sensors for Health-Monitoring - Filiz Yesilkoy, Ecole Polytechnique Federale de Lausanne
Nanophotonic Biosensors: from Plasmonic to Dielectric Metasurfaces - Peter Zijlstra, Universiteit Leiden, Netherlands
Single-molecule sensing mediated by localized plasmon resonances
Committee
Kenneth Ewing, US Army Research Laboratory, USA, Chair
Mario F.S. Ferreira, Universidade de Aveiro, Portugal, Chair
Paul Pellegrino, US Army Research Laboratory, USA, Chair
Optical Fiber Sensors
Gilberto Brambilla, University of Southampton, UK, Subcommittee Chair
Christophe Caucheteur, University of Mons, Belgium
Jose-Miguel Lopez-Higuera, Universidad de Cantabria, Spain
Janet Lou, US Naval Research Laboratory, USA
Laser Based Sensors
Yoonchan Jeong, Seoul National University, South Korea, Subcommittee Chair
Peter Dragic, Univ. of Illinois at Urbana-Champaign, USA
Kwang Jo Lee, Kyung Hee University, South Korea
Christian Grillet, CNRS, France
Peter Horak, University of Southampton, UK
Peter Vasil'ev, University of Cambridge, UK
Optical Chemical and Biological Sensors
Ellen Holthoff, US Army Research Laboratory, USA, Subcommittee Chair
Elena Benito Peña, Complutense University, Spain
Brian Cullum, University of Maryland Baltimore County, USA
Bhavya Sharma, University of Tennessee, USA
Micro and Nano – Engineered Sensors
Misha Sumetsky, Aston University, UK, Subcommittee Chair
Andrei Fotiadi, Faculte Polytechnique de Mons, Belgium
Chengbo Mou, Shanghai University, China
Sergei Popov, Kungliga Tekniska Hogskolan, Sweden
Xuewen Shu, Huazhong Univ of Science and Technology, China
Limin Tong, Zhejiang University, China
Nanophotonic and Plasmonic Biosensors
Frank Vollmer, University of Exeter, UK, Subcommittee Chair
Hatice Altug, Ecole Polytechnique Federale de Lausanne, Switzerland
Laura Na Liu, Max Planck Inst for Gravitational Physic, Germany
Wei-Chuan Shih, University of Houston, USA
Applied Industrial Sensors
Mark F. Witinski, Pendar Technologies, USA, Subcommittee Chair
Romain Blanchard, Pendar Technologies, USA
Teoman Ustun, Analog Devices, USA
Plenary Session
Melba Crawford
Purdue University, USA
Multi-modality Remote Sensing Data Acquisition and Analysis for High Throughput Phenotyping
Sensing technologies ranging from RGB cameras to hyperspectral imaging and LiDAR are rapidly gaining popularity for field-based high throughput phenotyping applications on airborne and ground-based platforms. In addition to direct measurements of traditional phenotypes such as height, these sensors potentially provide surrogate measurements for plant structural characteristics (e.g. leaf count and leaf area index) and chemistry (e.g. photosynthesis, and plant stress). Opportunities and challenges associated with acquisition, processing, and analysis of high resolution RGB, VNIR/SWIR hyperspectral data, and discrete return LiDAR data acquired from UAVs for plant breeding experiments focused on advancing sorghum varieties for biofuels will be outlined. Results from multi-modality, multi-temporal predictive modeling of complex phenotypes such as biomass using data driven machine learning and biophysical models will also be presented in the context of feature extraction and learning with limited training data. Opportunities to exploit transfer learning across scales will also be discussed.
About the Speaker
Dr. Melba Crawford holds the Chair of Excellence in Earth Observation at Purdue University, where she is the Associate Dean of Engineering for Research and a professor in the Schools of Civil Engineering and Electrical and Computer Engineering, and the Department of Agronomy. Her research interests focus on development of methods for signal and image processing, and applications of these algorithms to remote sensing problems in defense, agriculture, and natural resource management. She is currently co-leading a joint initiative between the Purdue colleges of agriculture and engineering in development of advanced sensing technologies and analysis methodology for wheeled and UAV platforms, focused on high throughput phenotyping for plant breeding.
Dr. Crawford is a Fellow of the IEEE, Past President of the IEEE Geoscience and Remote Sensing Society, an IEEE GRSS Distinguished Lecturer, and the current Treasurer of the IEEE Technical Activities Board. She was a member of the NASA EO-1 Science Validation team and served on the NASA Earth System Science and Applications Advisory Committee and the advisory committee to the NASA Socioeconomic Applications and Data Center (SEDAC).
Alex Gaeta
Columbia University
Chip-Based Comb Spectroscopy
The ability to generate optical frequency combs in microresonators at milliwatt power levels offers the promise for high-precision spectroscopic instruments in highly robust, compact, and portable platforms.
About the Speaker
Alex Gaeta received his Ph.D. in 1991 in Optics from the University of Rochester. He joined the faculty in the Department of Applied Physics and Applied Mathematics at Columbia University in 2015, where he is the David M. Rickey Professor. Prior to this, he was a professor in the School of Applied and Engineering Physics at Cornell University for 23 years. He has published more than 230 papers in quantum and nonlinear optics. He co-founded PicoLuz, Inc. and has served as the founding Editor-in-Chief of Optica since 2014. He is a Fellow of the OSA, APS, and IEEE, and was awarded the 2019 Charles H. Townes Medal from the OSA.
Peter Russo
Analog Photonics
High Performance Optical Phased Array LiDAR
Integrated optical phased arrays provide an attractive solution to LiDAR sensors by enabling solid-state, small-form-factor systems fabricated on 300mm wafers. We present recent results including high-performance beam steering and long-range LiDAR up to almost 200m."
About the Speaker
Peter Russo is Director of LiDAR at Analog Photonics. He received his Bachelor of Science in Electrical Engineering from University of Maryland, College Park in 2008. After graduating, he joined BAE Systems as part of the Engineering Leadership Development Program, through which he also received his Master of Science in Electrical Engineering from University of New Hampshire. At BAE Systems, he served as principle investigator on several active electro-optical systems programs. In 2015, he joined Formlabs, a 3D-printing startup, as a member of the electro-optical team. In 2017, Mr. Russo joined Analog Photonics as the LiDAR Architect to develop and commercialize silicon-photonic, optical phased array LiDAR for use on autonomous vehicles in both the automotive and DoD markets.
