SPIE, the international society for optics and photonics, welcomes 12 distinguished early-career professionals as its 2019 DCS Rising Researchers. The awards will be presented in April 2019, at SPIE Defense + Commercial Sensing (DCS) in Baltimore, Maryland.
Now in its third year, the SPIE Rising Researcher awards program recognizes early-career professionals who are conducting outstanding work and making important advances in product development or research in the areas of defense, commercial, and scientific sensing, imaging, optics, or related fields.
The Rising Researchers – all of whom are presenting at SPIE DCS 2019 – were selected by a team of Defense & Commercial Sensing Steering Committee members, conference chairs, past recipients, and SPIE leadership. Assessments are based on impact statements provided by entrants, research report abstracts submitted for the event, CVs, videos, and recommendations from a supervisor or senior colleague.
Each winner receives a fee waiver for full conference registration and a half-day course at the event, a one-year SPIE Membership, and other recognitions.
The 2019 DCS Rising Researchers, their affiliations, and their research areas are as follow:
Giulia Acconcia, Politecnico di Milano
IC designer; active quenching circuits; single photon counting; single photon timing; front ends; routing; single-photon avalanche diodes; detector modeling; time to amplitude converters; time correlated single photon counting
Darryl Boyd, US Naval Research Laboratory
Sulfur, selenium, chalcogenide, inverse vulcanization, infrared transmission, optical polymers, ORMOCHALC, optics, thiol click chemistry
Stephen Andrew Gadsden, University of Guelph
Estimation theory, controls, intelligence, mechatronics, sensing, fault detection
Stefan Heist, Friedrich Schiller University Jena
Optical metrology; three-dimensional shape measurement; structured light methods; high-speed pattern projection; aperiodic sinusoidal fringes; 5D hyperspectral imaging; eye-safe 3D facial measurements; thermal fringe projection; shape from heating
Juejun Hu, Department of Materials Science and Engineering, MIT
Integrated photonics; spectroscopic sensing; phase change materials; optical isolation; silicon photonics; chalcogenide glass
April Jewell, Jet Propulsion Laboratory
Silicon sensors, ultraviolet sensors, solar-blind silicon, delta doping, 2D doping, astrophysics detectors
Yong Lin Kong, University of Utah
3D printing, additive manufacturing, nanomaterials-based functional devices, electronics 3D printing, gastric resident electronics, biomedical electronics
Laura Na Liu, University of Heidelberg
Plasmonics, nanophotonics, optical sensing, DNA nanotechnology, self-assembly, dynamic optical materials
Uttam Majumder, Air Force Research Laboratory
Artificial intelligence, machine learning, automatic target recognition, radio frequency imaging, high performance computing, radar signal processing, model-based imaging, waveforms design, ground moving target indication
Andres Marrugo, Universidad Tecnologica de Bolivar
Medical image analysis, optical metrology, computer vision, image processing
Thanh Nguyen, University of Connecticut - Department of Mechanical Engineering
Biodegradable polymers, piezoelectrics, nano- and micro-manufacturing, vaccine and drug delivery, sensors, tissue engineering
Jamie Ramsey, Rochester Precision Optics
Multispectral, athermalization, achromatization, hyperspectral, SWAP-c, MWIR/LWIR, dispersion
"The Rising Researcher program continues to recognize outstanding technical contributions from early career professionals in the DCS community," said SPIE Director of Science & Technology Bob Hainsey.
"Their work represents a level of excellence that differentiates them from their peers, and their presentations highlight another strong conference program. This year's winners reflect the diversity of DCS attendees and the breadth of the technical content, with award recipients coming from academia, government labs, and industry, in disciplines that include infrared optics, single photon counters, novel photonic materials, biomedical sensors, and machine learning."