A5091608832- Structural Load-Bearing Analysis
- Fatigue and fracture mechanics
- Structural Engineering and Vibration Analysis
- Engineering Structural Analysis Methods
- Structural Behavior of Reinforced Concrete
- Concrete Corrosion and Durability
- Mechanical stress and fatigue analysis
- Geotechnical Engineering and Underground Structures
- Medical Image Segmentation Techniques
- Infrastructure Maintenance and Monitoring
- Spacecraft and Cryogenic Technologies
- Structural Health Monitoring Techniques
- Planetary Science and Exploration
- Spacecraft Design and Technology
- Structural Engineering and Materials Analysis
- Machine Learning and Algorithms
- Bayesian Methods and Mixture Models
- Target Tracking and Data Fusion in Sensor Networks
- Bayesian Modeling and Causal Inference
- Distributed Sensor Networks and Detection Algorithms
- Fire effects on concrete materials
- Railway Engineering and Dynamics
- Neural Networks and Applications
- Sparse and Compressive Sensing Techniques
- Advanced SAR Imaging Techniques
Massachusetts Institute of Technology
2015-2024
Keene State College
2024
Brandywine Photonics (United States)
2002-2023
Merck & Co., Inc., Rahway, NJ, USA (United States)
2022
United States Military Academy
2022
The University of Texas of the Permian Basin
2021
Vassar College
2015-2019
Montefiore Medical Center
2019
Moscow Institute of Thermal Technology
2019
Ames Research Center
2006-2016
Steel-concrete composite construction using normal weight concrete has been used since early in the 1920s. Substantial use of began mainly for bridge structures 1950s as a result work done by Viest. Its primary growth building during last decade was simplified design provisions introduced into 1961 AISC Specification. The development these were based on studies reported Slutter and Driscoll. This study summarizes results tests 48 two-slab pushout specimens. main purpose investigation to...
Automatic self-localization is a critical need for the effective use of ad hoc sensor networks in military or civilian applications. In general, involves combination absolute location information (e.g., from global positioning system) with relative calibration distance measurements between sensors) over regions network. Furthermore, it generally desirable to distribute computational burden across network and minimize amount intersensor communication. We demonstrate that used localization...
We develop a generative probabilistic model for temporally consistent super pixels in video sequences. In contrast to supermodel methods, object parts different frames are tracked by the same temporal pixel. explicitly flow between with bilateral Gaussian process and use this information propagate an online fashion. consider four novel metrics quantify performance of pixel representation demonstrate superior when compared methods.
Abstract Bayesian optimization (BO) has been leveraged for guiding autonomous and high-throughput experiments in materials science. However, few have evaluated the efficiency of BO across a broad range experimental domains. In this work, we quantify performance with collection surrogate model acquisition function pairs five diverse systems. By defining acceleration enhancement metrics objectives, find that models such as Gaussian Process (GP) anisotropic kernels Random Forest (RF) comparable...
In many automatic face recognition applications, a set of person's images is available rather than single image. this paper, we describe novel method for using image sets. We propose flexible, semi-parametric model learning probability densities confined to highly non-linear but intrinsically low-dimensional manifolds. The leads statistical formulation the problem in terms minimizing divergence between estimated on these proposed evaluated large data set, acquired realistic imaging...
In this paper, we present a new information-theoretic approach to image segmentation. We cast the segmentation problem as maximization of mutual information between region labels and pixel intensities, subject constraint on total length boundaries. assume that probability densities associated with intensities within each are completely unknown priori, formulate based nonparametric density estimates. Due structure, our method does not require regions have particular type distribution...
This paper presents an overview of research conducted to bridge the rich field graphical models with emerging data fusion for sensor networks. Both theoretical issues and prototyping applications are discussed in addition suggesting new lines reasoning.
The Ocean Portable Hyperspectral Imager for Low-Light Spectroscopy (Ocean PHILLS) is a hyperspectral imager specifically designed imaging the coastal ocean. It uses thinned, backsideilluminated CCD high sensitivity and an all-reflective spectrograph with convex grating in Offner configuration to produce nearly distortionfree image. sensor, which was constructed entirely from commercially available components, has been successfully deployed during several oceanographic experiments 1999-2001....
Resource management in distributed sensor networks is a challenging problem. This can be attributed to the fundamental tradeoff between value of information contained set measurements versus energy costs acquiring measurements, fusing them into conditional probability density function (pdf) and transmitting updated pdf. Communications commonly highest contributor among these costs, typically by orders magnitude. Failure consider this significantly reduce operational lifetime network. While...
<para xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> Sparse signal representations and approximations from overcomplete dictionaries have become an invaluable tool recently. In this paper, we develop a new, heuristic, graph-structured, sparse representation algorithm for that can be decomposed into subdictionaries whose dictionary elements arranged in hierarchy. Around algorithm, construct methodology advanced image formation wide-angle synthetic...
Fusion of 3D laser radar (LIDAR) imagery and aerial optical is an efficient method for constructing virtual reality models. One difficult aspect creating such models registering the image with LIDAR point cloud, which characterized as a camera pose estimation problem. We propose novel application mutual information registration methods, exploits statistical dependency in urban scenes appearance measured elevation. utilize well known downhill simplex optimization to infer parameters. discuss...
A new steel orthotropic deck was installed on the Bronx–Whitestone Bridge (BWB) between 2005 and 2006. In May 2007, longitudinal cracks were found by visual inspections underneath plate in rib-to-deck welds have continued to occur. As of 2014, these weld required repair approximately 305 m (1,000 ft) 65,374 (214,480 rib deck. Detectable occurred randomly 66 408 shop-fabricated panels. This paper's focus is modeling crack propagation defective with fabrication-related hot so that estimates...
Automatic self-calibration of ad-hoc sensor networks is a critical need for their use in military or civilian applications. In general, involves the combination absolute location information (e.g. GPS) with relative calibration time delay received signal strength between sensors) over regions network. Furthermore, it generally desirable to distribute computational burden across network and minimize amount inter-sensor communication. We demonstrate that used fundamentally local regard...
We studied the function of right internal jugular vein valves during cardiac catheterization in 32 patients and external vitro from 13 dogs. Patients with normal central venous pressure had competent cough-induced transvalvular gradients 52.4 +/- 8.6 mm Hg. Ten 15 elevated either incompetent or absent valves, latter occurring only long-standing, severe tricuspid regurgitation. During coughing, were also demonstrated left subclavian veins. The excised canine at a static 81.8 3.7 Five six...