Award Data

Missile defense takes place in an uncertain and dynamic environment, so multi-sensor fusion must be employed to aggregate and merge disparate data from the battlefield. However, the fusion process is hindered by the vast amount of uncertainty in operational contexts, such as imprecise measurements and varying environmental conditions. Various algorithms and fusion processes have been developed to ...

Boston Fusion, together with our teammate Syracuse University, propose a program of research and development, namely Uncertainty Characterization Using Copulas, which will lead to a parametric framework based on the statistical theory of copulas for modeling uncertainties in a centralized fusion architecture for the problem of target classification for ballistic missile defense applications. This ...

The proposed effort will develop a new approach to characterize and analyze multiple-sensor decision making under uncertainty. The major focus will be on the decision architecture involving multiple Ballistic Missile Defense (BMD) elements and the evaluation of the performance of various decision architectures for ballistic missile object discrimination. The proposed method will provide a well-d ...

Given a specific window of opportunity for an incoming threat, the central Command, Control, Battle Management, and Communications (C2BMC) operator must dynamically manage the battle to achieve global and regional mission objectives. Seconds matter in these situations, and the C2BMC operator must be well versed in all potential scenarios, so that his actions are both quick and decisive. Currently, ...

To enable new directed energy systems which are much lighter, smaller and more efficient, new types of optical phased array beam steering are required. In this Phase I STTR, Triton Systems teamed with our academic partner, will demonstrate a new family of reflective phase modulation elements based on recent advances with a new electro-optic material which has been shown to add dynamic tunability ...

This Small Business Technology Transfer (STTR) Phase I project proposes to develop novel biotech plant lines with improved rates of photosynthesis in a canopy setting. The improved rates of photosynthesis will enable increases in intrinsic crop yield. Photosynthesis has evolved on an individual, rather than a population basis, resulting in reduced photosynthetic efficiency on a population basis in ...

This Small Business Innovation Research (SBIR) Phase I project will build a state of the art imaging tool for rodent disease quantification using ultrasound. Hundreds of millions of dollars in the US are spent annually on preclinical drug efficacy studies, as all candidate cancer therapeutics must be screened in rodents prior to any clinical trials. Academic and industry drug researchers make use ...

This Small Business Technology Transfer (STTR) Phase I project seeks to develop a novel holographic microscope system for examining cytological samples, such as blood smears, at the point of care. Current blood cell analysis techniques require manual examination by expert technicians, resulting in a costly and time-consuming test. The project proposes to develop a compact, portable, inexpensive, a ...

This Small Business Technology Transfer Research (STTR) Phase I project seeks to develop a novel, intelligent device for automation of gait training in the neurological patient population undergoing physical therapy and rehabilitation. The objective of this project is the creation of a physically simple robotic system, which uses a sophisticated control system to intelligently cooperate with the p ...

This Small Business Technology Transfer Research (STTR) Phase I project proposes to develop and commercialize a fully implantable, integrated, ultra-flexible device for high-bandwidth bidirectional interface with the central nervous system aimed at brain-computer interfacing (BCI) and neurobiology research applications. The device will incorporate the implantable component of the multichannel wire ...