Research Areas under DASHlink

Data Mining and Knowledge Discovery

  • Members 7 Resources 1

  • Members 3 Resources 3

  • ADS-B


  • Aeroelastic Prediction Workshop

    Please click here to enter the Aeroelastic Prediction Workshop-1 Website Please click here to enter the Aeroelastic Prediction Workshop-2 Website

  • Aeroservoelasticity Multidisciplinary Design and Optimization

    This project was created to provide the means to plan and collaborate regarding a workshop for state of the art in Multi-disciplinary design and optimization with special emphasis on Aeroservoelasticity. The original goal was Supersonics but it has been expanded ...

  • Ames-ICAT/MIT

    MIT DFDR Anomaly Detection Work

  • Aviation Safety Technology Portal (ASTEP)

    Information on tools and technologies developed by NASA for Commercial and General Aviation Operators. Check out some of the Opensource tools available: MKAD MKAD (Multiple Kernel Anomaly Detection) is a software tool that can be used for anomaly detection. Nu-Anomica ...

  • AWG


  • Big data: simultaneous Multi-Graph network analysis

  • Conference on Intelligent Data Understanding 2010 (CIDU)

    Information and Proceedings about CIDU 2010 2010 Program Committee

  • Conference on Intelligent Data Understanding 2011

    The NASA Conference on Intelligent Data Understanding (CIDU) is application-oriented with a focus on Earth & Environmental Systems, Space Science, and Aerospace & Engineering Systems. CIDU 2011 will be held October 19-21, 2011 in Mountain View, CA at the Computer ...

  • Context-aware instance matching

  • Dash-link-Dir

  • Deep Learning for Aviation Safety

    Deep learning has been applied to solve many difficult problems in computer vision, speech recognition and natural language processing, machine translation, among others. In this project, we explore deep learning to develop scalable data mining solutions for aviation safety and ...

  • Discovering Precursors to Adverse Events in Time Series

    The goal is to discover precursors to adverse events/anomalies for which data leading up to the anomaly is available. An event may be defined as any combination of observed data at a given time stamp. Thus, a time series data ...

  • Disk Defect Data

    The Rotary Dynamics Laboratory at NASA Glenn Research Center has acquired data on simulated engine disks for the purpose of developing crack detection schemes. They have taken data on a baseline disk and on a disk that has a fairly ...

  • Fast anomaly detection

    Anomaly detection is an active area of research for understanding safety risks in the NAS. As we move towards real time safety modeling, we explore scalable anomaly detection algorithms that are faster to train and have better detection performance.

  • FDM for offshore operators

    Minimal set of events and data visualization for flight data, aiming to measure and ensure quality in helicopter operator on offshore operations.

  • Flight Opportunities program

    This is a workspace to share information regarding the Flight Opportunities program

  • FLTz flight simulator

    This software is flight simulation system with primary and secondary OpenGL displays capable of flying a large set of built-in aircraft as well as those aircraft under rapid research development (possibly using the output of VorView). FLTz can communicate directly ...

  • Fuel Related Events General Aviation

    Want to look at the factors in fuel starvation and fuel exhaustion events in General Aviation. I want to explore patterns in aircraft type and equipment to evaluate methods that might minimize these events

  • Gaussian Process regression for Earth Science data

  • hiliftideas

    area to post hilift ideas and working files

  • Holder

    This is going to be used in order to show how multiple projects would look.

  • Information dissemination

    Creating awareness of Space technology in Uganda. Addressing the need of Space exploration and its significance in Uganda. Simplified of Space technology to the citizens of Uganda

  • Intelligent Data Understanding Group

    The Intelligent Data Understanding (IDU) Group collaborates with domain scientists in the fields of Integrated System Health Management, Aeronautics, Space Exploration, Earth Sciences and Space Sciences to answer pressing scientific questions in the field of machine learning, knowledge discovery, and ...

  • Intelligent data understanding software tool

  • Mathematical Modeling Of A Li-Ion Battery System And Its Applications In Battery Monitoring/Control

  • Multiple Kernel Learning based Heterogeneous Algorithm (MKAD)

    We conducted a study on developing an anomaly detector that can run on heterogeneous data sets. This research resulted in a newly developed version of classical One Class SVMs called MKAD (Multiple Kernel Anomaly Detection) algorithm which can efficiently handle ...

  • NASA Space LIfe Sciences Data TEM

    In January of 2016 a group of NASA civil servants and contractors representing various NASA Life Sciences organizations met at Ames Research Center to discuss common data goals and issues with an aim to leveraging resources between projects and learning ...

  • NASA Space Radiation Lab Forum

    Purpose of NASA Space Radiation Lab Forum (NSRLF) is to communicate scientific information among members of Space Radiation Research Community

  • NASA Space Radiation Program Element Web Tools

    We have developed several biophysical models to assess the health risks to astronauts due to space radiation. You can access here.

  • NASA-Boeing

    • Designed custom tooling for new product development of Boeing-NASA ISS (International Space Station) solar panel structure. • Developed new global optimization techniques for designing new airplanes. • Conceptualized advanced methodology for project development of solar panel structures. • Authored ...

  • Optimal Alarm Systems for Anomaly Detection

    An optimal alarm system is simply an optimal level-crossing predictor that can be designed to elicit the fewest false alarms for a fixed detection probability. It currently use Kalman filtering for dynamic systems to provide a layer of predictive capability ...

  • PHM Data Challenges

    This site contains a collection of data sets that were used at various data challanges at the PHM Conference over the years.

  • PHM Data Challenges

    This site hosts data sets (or links to data sets for data challenges that were held at the PHM Conference over the years.

  • PSU-AMES FOQA Project

    A collaborative work of PSU and Nasa Ames on FOQA data analysis. The goal is to detect anomalies in FOQA data.

  • Research Test and Integration

    This area can be used for communication about the Research and Test Integration Project. Leave comments, questions, and requests here. Click here for the link to the wiki.

  • retinaX

    Using Dashlink data in the context of the Numenta Platform for Intelligent Computing. In collaboration with cortical.IO.

  • Sample Flight Data

    Through access to de-identified aggregate flight recorded data, researchers have the ability to proactively identify and analyze trends and target resources to reduce operational risks in the National Airspace System (NAS). This valuable data source enables the aviation community to ...

  • Scalable Outlier Detection on Very Large Datasets

    Detecting anomalous behavior from terabytes of flight record data has emerged as a crucial component for many systems for Aircraft Health Management. Very often, however, flight record data collected from various aircrafts cannot be directly aggregated for anomaly analysis due ...

  • SequenceMiner

    The SequenceMiner was developed to address the problem of detecting and describing anomalies in large sets of high-dimensional symbol sequences that arise from recordings of switch sensors in the cockpits of commercial airliners. SequenceMiner works by performing unsupervised clustering (grouping) ...

  • Statistical Emulation

    A collaboration between Ames and UC Santa Cruz to perform statistical emulation of complex, nonlinear simulators at NASA. These emulations allow accurate predictions and uncertainty quantification.

  • Structural Efficiency

    This project has been created to enable/facilitate collaboration of all those working to develop future aerodynamically and structurally efficient subsonic aircraft.

  • Sustainability Base

    Sustainability Base (N232) is a 50,000 sq ft high-performance office building on the NASA Ames campus. A goal of Sustainability Base is to provide a research testbed where different sustainable technologies and concepts can be implemented, tested, and demonstrated. Please ...

  • Test project

    Test test

  • Text Mining Algorithms & Applications

    Text Mining Algorithms & Applications

  • Text Mining using Dynamic Topic Models

  • Uncertainty Quantification in Aeroelasticity

    To collect and organize the recent literature related to uncertainty quantification of aeroelastic systems, with a particular focus on high-fidelity CFD-based aeroelastic physics. Applications related to aircraft, rotorcraft, civil structures (bridges, e.g.), and general fluid-structure interactions are all of interest. ...

  • Vehicle Level Reasoning System-VLRS

    A systems view is necessary to detect, diagnose, predict, and mitigate adverse events during the flight of an aircraft. While most aircraft subsystems look for simple threshold exceedance and report them to a central maintenance computer, the vehicle–level reasoning system ...

  • Wikis across NASA


  • Working with Amphibious Aircrafts

    This project is created to study Amphibious Aircrafts and promote their usage by researching prospective fields in Commercial as well as the Military sector.

  • Workshop on IVHM and Aviation Safety

    WIAS is an Indo-US workshop on Integrated Vehicle health management and Aviation safety organized jointly by National Aerospace Laboratories (CSIR-NAL), Bangalore and National Aeronautics and Space Administration (NASA) USA for the first time in India. We welcome all the expert ...