16 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Michigan State UniversityUS2 papers
- Aptima (United States)US1 paper
- Arizona State UniversityUS1 paper
- Binghamton UniversityUS1 paper
- City College of New YorkUS1 paper
- Guidance (United Kingdom)GB1 paper
- Institute of NavigationUS1 paper
- Intelligent Fusion Technology (United States)US1 paper
- Kirtland Air Force BaseUS1 paper
- Lawrence Livermore National LaboratoryUS1 paper
- Naval Postgraduate SchoolUS1 paper
- Network Technologies (United States)US1 paper
10 papers
PADTHAI-MM: Principles-based Approach for Designing Trustworthy, Human-centered AI using MAST Methodology
Myke C. Cohen, Nayoung Kim, Yang Ba +7
Despite an extensive body of literature on trust in technology, designing trustworthy AI systems for high-stakes decision domains remains a significant challenge, further compounde…
A Charge Conserving Exponential Predictor Corrector FEMPIC Formulation for Relativistic Particle Simulations
Omkar H. Ramachandran, Leo C. Kempel, John Luginsland +1
The state of art of charge-conserving electromagnetic finite element particle-in-cell has grown by leaps and bounds in the past few years. These advances have primarily been achiev…
NIDA-CLIFGAN: Natural Infrastructure Damage Assessment through Efficient Classification Combining Contrastive Learning, Information Fusion and Generative Adversarial Networks
Jie Wei, Zhigang Zhu, Erik Blasch +5
During natural disasters, aircraft and satellites are used to survey the impacted regions. Usually human experts are needed to manually label the degrees of the building damage so…
TULVCAN: Terahertz Ultra-broadband Learning Vehicular Channel-Aware Networking
Chia-Hung Lin, Shih-Chun Lin, Erik Blasch
Due to spectrum scarcity and increasing wireless capacity demands, terahertz (THz) communications at 0.1-10THz and the corresponding spectrum characterization have emerged to meet…
Rubrics for Charge Conserving Current Mapping in Finite Element Particle in Cell Methods
Zane D. Crawford, Scott O'Connor, John Luginsland +1
Modeling of kinetic plasmas using electromagnetic particle in cell methods (EM-PIC) is a problem that is well worn, in that methods developed have been used extensively both unders…
Algorithms of Data Development For Deep Learning and Feedback Design
Wei Kang, Qi Gong, Tenavi Nakamura-Zimmerer
Recent research reveals that deep learning is an effective way of solving high dimensional Hamilton-Jacobi-Bellman equations. The resulting feedback control law in the form of a ne…
A Federated Capability-based Access Control Mechanism for Internet of Things (IoTs)
Ronghua Xu, Yu Chen, Erik Blasch +1
The prevalence of Internet of Things (IoTs) allows heterogeneous embedded smart devices to collaboratively provide intelligent services with or without human intervention. While le…
Conservative Algorithms for Non-Maxwellian Plasma Kinetics
H. P. Le, J. -L. Cambier
We present a numerical model and a set of conservative algorithms for Non-Maxwellian plasma kinetics with inelastic collisions. These algorithms self-consistently solve for the tim…
Constrained Spacecraft Relative Motion Planning Exploiting Periodic Natural Motion Trajectories and Invariance
Gregory R. Frey, Christopher D. Petersen, Frederick A. Leve +2
Spacecraft relative motion planning is concerned with the design and execution of maneuvers relative to a nominal target. These types of maneuvers are frequently utilized in missio…
Entropic and displacement interpolation: a computational approach using the Hilbert metric
Yongxin Chen, Tryphon T. Georgiou, Michele Pavon
Monge-Kantorovich optimal mass transport (OMT) provides a blueprint for geometries in the space of positive densities -- it quantifies the cost of transporting a mass distribution…