Dr. Dalgleish leads the Ocean Visibility and Optics Laboratory with research, development and modeling activities that focus on the application of laser sensors and unmanned marine vehicles to generate new undersea robotic imaging, sensing, detection and networking capabilities. He has more than 30 papers and patents and is currently the PI or co-PI for multiple federal grants in these areas. Dr. Dalgleish has recently conducted research in subsea environmental LiDAR at the NATO Centre of Maritime Research and Experimentation as a Visiting Scientist, has been the Underwater Imaging committee chair for the Marine Technology Society since 2009, and is currently the Program Evaluator at NSF LASER-TEC at Indian River State College. He was the 2015 FAU Researcher of the Year at the Associate Professor level.
Dr. Twardowski’s research interests include using optical sensing techniques to study problems in imaging, ocean color remote sensing, harmful algal blooms, oil detection, long-term and autonomous monitoring, sediment transport, and particle characterization. Dr. Twardowski has two decades of experience developing transformational technologies for ocean science, several of which have been commercialized. Dr. Twardowski was previously Director of Research and Vice President of WET Labs Inc., where he led the Advanced Technology and Research group in Narragansett, RI. He received his Ph.D. in Oceanography from University of Rhode Island in 1998 and was a postdoctoral fellow in Environmental Optics at Oregon State University. He has been a Naval ASEE Fellow and conducted research at the NATO Centre of Maritime Research and Experimentation as a Visiting Scientist. He is Adjunct Professor at the Universities of Rhode Island and Connecticut. He has authored more than 50 peer-reviewed publications and has participated in more than 30 interdisciplinary field efforts in waters throughout the world.
Dr. Vuorenkoski’s research activities have focused on experimental studies of optical and physical properties of particle suspensions, two-phase flows and mixture formation. Her current research concentrates on the characterization of water column and benthic features by polarimetry, fluorometry, angularly-resolved scattering techniques, and time-resolved short-pulse methods, as well as on the experimental validation of computational radiative transfer models. Her past research activities have included adoption of optical, laser-based techniques to study the properties of turbid media and flows (i.e., fluorescence, Mie scattering, Schlieren, absorption spectroscopy, and acousto-optic methods). She has also been involved in the development and application of Monte Carlo–based computational methods to simulate the effects of multiple scattering in aerosol laser imaging. Dr. Vuorenkoski’s previous research also includes computational flow analysis for combustion engine applications to design turbomachinery component aerodynamic profiles and performance prediction of secondary flowpath components, as well as implementation of computational models to simulate mixture formation.
Aditya's research focus is oceanic optical and acoustic instrumentation, experimental fluid dynamics, small-scale turbulence, coastal ocean boundary layer flow, and biophysical interactions. His postdoctoral work involves using optical tools, specifically digital holography, to study marine particle dynamics and biophysical interactions in the coastal ocean. One particular project is to characterize in situ particle orientation in the ocean and correlate it with the local shear flow using simultaneous, co-located depth profiles of particle fields and flow characteristics, under different flow conditions as well as varying particle concentration loads. Preferential particle orientation can have significant consequences to fields as diverse as ocean optics/remote sensing and phytoplankton ecology, as random particle orientation is inherently assumed in theory and models. Preferential alignment can increase/decrease optical properties such as backscattering and attenuation relative to random distributions.