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.


  • 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



  • Tuan Vo-Dinh, Duke UniversityUnited States 
    Plasmonic Biosensors: Harnessing the Enhanced Power of Light with Biosystems Tutorial
  • Alexandre Brolo, University of VictoriaCanada 
    Intensities Fluctuations in Single-Molecule Surface-Enhanced Raman Scattering
  • George Chen, University of South AustraliaAustralia 
    Sensitized Light Pipes: Multimode Fibers Empowered by Skew Rays
  • Michael Angelo-Anthony Daniele, Clemson UniversityUnited States 
    Microsystems for Measuring Oxygen Using Tissue Integrated Phosphorescence-Based Soft Sensors
  • Lukas Emmenegger, EMPASwitzerland 
    Environmental and industrial trace gas sensing using quantum cascade lasers
  • Simon Fleming, University of SydneyAustralia 
    Polyurethane Optical Fibre Sensors
  • Jess Ford, Weatherford International LtdUnited States 
    Downhole Sensing: 177 C Are you Kidding?
  • Fuxing Gu, Univer. of Shanghai for Science and TechChina 
    Mode Modulation in Microbottle Cavities and Its Sensing Applications
  • Bahram Jalali, University of California Los AngelesUnited States 
    Time-stretch LiDAR
  • Jungwon Kim, Korea Advanced Inst of Science & TechSouth Korea 
    Femtosecond Laser-Based Time-of-Flight (TOF) Sensors
  • DOMNA KOTSIFAKI, National Technical University of AthensJapan
  • Gary Miller, US Naval Research LaboratoryUnited States 
    Distributed Bragg Reflector Fiber Lasers for Acoustic Sensing
  • Yosuke Mizuno, Tokyo Institute of TechnologyJapan 
    Brillouin Optical Correlation-Domain Reflectometry: State-of-the-Art and Future Challenges
  • Tanya Myers, Pacific Northwest National LaboratoryUnited States 
    Stand-off Detection of Minerals in the Long-wave Infrared
  • Sile Nic Chormaic, Okinawa Inst of Science & TechnologyJapan 
    Optical Fiber and Plasmonic Based Sensors for Trapping and Imaging Applications
  • Claudio Oton, Scuola Superiore Sant Anna di PisaItaly 
    Micro-interferometers on Chip for Sensing Applications
  • Junsuk Rho, POSTECHSouth Korea 
    Artificial Chirality Evolution in Micro-/nano-scale 3D Plasmonic Metamaterials
  • Mark Stephen, NASA Goddard Space Flight CenterUnited States 
    Laser-based Remote Sensing of Atmospheric Carbon Dioxide
  • Daniele Tosi, Nazarbayev UniversityKazakhstan 
    Multiplexing Techniques and Applications in Fiber-optic Spatially Resolved Sensing Networks
  • J. Gonzalo Wangüemert-Pérez, Málaga UniversitySpain 
    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 UniversityChina 
    Flexible Fiber Sensors for Health-Monitoring
  • Filiz Yesilkoy, Ecole Polytechnique Federale de Lausanne 
    Nanophotonic Biosensors: from Plasmonic to Dielectric Metasurfaces
  • Peter Zijlstra, Universiteit LeidenNetherlands 
    Single-molecule sensing mediated by localized plasmon resonances



Kenneth Ewing, US Army Research Laboratory, USA, Chair

Mario F.S. Ferreira, Universidade de Aveiro, PortugalChair             

Paul Pellegrino, US Army Research Laboratory, USAChair   

Optical Fiber Sensors

Gilberto Brambilla, University of Southampton, UKSubcommittee 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, UKSubcommittee 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.