Publications
Multi-layered interactive energy space modeling for near-optimal electrification of terrestrial, shipboard and aircraft systems
Summary
Summary
In this paper, we introduce a basic multi-layered modeling framework for posing the problem of safe, robust and efficient design and control that may lend itself to ripping potential benefits from electrification. The proposed framework establishes dynamic relations between physical concepts such as stored energy, useful work, and wasted energy...
Highly Efficient All-Optical Beam Modulation Utilizing Thermo-optic Effects
Summary
Summary
Suspensions of plasmonic nanoparticles can diffract optical beams due to the combination of thermal lensing and self-phase modulation. Here, we demonstrate extremely efficient optical continuous wave (CW) beam switching across the visible range in optimized suspensions of 5-nm Au and Ag nanoparticles in non-polar solvents, such as hexane and decane...
Hybrid mixed-membership blockmodel for inference on realistic network interactions
Summary
Summary
This work proposes novel hybrid mixed-membership blockmodels (HMMB) that integrate three canonical network models to capture the characteristics of real-world interactions: community structure with mixed-membership, power-law-distributed node degrees, and sparsity. This hybrid model provides the capacity needed for realism, enabling control and inference on individual attributes of interest such as...
Microsputterer with integrated ion-drag focusing for additive manufacturing of thin, narrow conductive lines
Summary
Summary
We report the design, modelling, and proof-of-concept demonstration of a continuously fed, atmospheric-pressure microplasma metal sputterer that is capable of printing conductive lines narrower than the width of the target without the need for post-processing or lithographic patterning. Ion drag-induced focusing is harnessed to print narrow lines; the focusing mechanism...
Next-generation embedded processors: an update
Summary
Summary
For mission assurance, Department of Defense (DoD) embedded systems should be designed to mitigate various aspects of cyber risks, while maintaining performance (size, weight, power, cost, and schedule). This paper reports our latest research effort in the development of a next-generation System-on-Chip (SoC) for DoD applications, which we first presented...
SST asteroid search performance 2014-2017
Summary
Summary
From 2014 to 2017, the Lincoln Near-Earth Asteroid Research (LINEAR) program performed wide-area asteroid search using the 3.5-m Space Surveillance Telescope (SST) located on Atom Peak at White Sands Missile Range, N.M. The SST was developed by MIT Lincoln Laboratory (MIT/LL) for the Defense Advanced Research Projects Agency (DARPA) to...
Large-format Geiger-mode avalanche photodiode arrays and readout circuits
Summary
Summary
Over the past 20 years, we have developed arrays of custom-fabricated silicon and InP Geiger-mode avalanche photodiode arrays, CMOS readout circuits to digitally count or time stamp single-photon detection events, and techniques to integrate these two components to make back-illuminated solid-state image sensors for lidar, optical communications, and passive imaging...
Machine learning for medical ultrasound: status, methods, and future opportunities
Summary
Summary
Ultrasound (US) imaging is the most commonly performed cross-sectional diagnostic imaging modality in the practice of medicine. It is low-cost, non-ionizing, portable, and capable of real-time image acquisition and display. US is a rapidly evolving technology with significant challenges and opportunities. Challenges include high inter- and intra-operator variability and limited...
Trust and performance in human-AI systems for multi-domain command and control
Summary
Summary
Command and Control is one of the core tenants of joint military operations, however, the nature of modern security threats, the democratization of technology globally, and the speed and scope of information flows are stressing traditional operational paradigms, necessitating a fundamental shift to better concurrently integrate and operate across multiple...
XLab: early indications & warning from open source data with application to biological threat
Summary
Summary
XLab is an early warning system that addresses a broad range of national security threats using a flexible, rapidly reconfigurable architecture. XLab enables intelligence analysts to visualize, explore, and query a knowledge base constructed from multiple data sources, guided by subject matter expertise codified in threat model graphs. This paper...