1 Computer Engineering or Computer Science

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1 PROJECT SUMMARIES (As provided by ERDC) 2018 SUMMER RESEARCH INTERNSHIP PWS Code Discipline Laboratory Summary 1 Computer or Computer Science Construction Ecological Processes This ERDC research calls for basic and applied research, and technology solutions to meet environmental regulation as it applies to installation activities. Research includes technologies that enable continued operation of compliance sites, meeting regulatory requirements without negative impact on mission for CONUS installations. The other are of research is related to pollution prevention technologies, methodologies, processes that support or eliminate environmental compliance issues. Specific Tasks: The main task is to assist ERDC in the development of a database management system that interfaces through an application on a handheld device. This system will be used for data management related to the integration of sustainability practices on U.S. Army installations. Other duties may include compilation and analysis of data, field characterizations, literature reviews, and writing summary documents pertaining to the system as it relates to integrated solid waste management. 2 Civil Construction Environmental Processes This ERDC research calls for basic and applied research, and technology solutions to meet environmental regulation as it applies to installation activities. Research includes technologies that enable continued operation of compliance sites, meeting regulatory requirements without negative impact on mission for CONUS installations. The other are of research is related to pollution prevention technologies, methodologies, processes that support or eliminate environmental compliance issues. Specific Tasks: The task is focus on the integration of sustainability practices on U.S. Army installations. Tasks may include compilation and analysis of data, field characterizations, literature reviews, and writing summary documents pertaining to integrated solid waste management. 3 Electrical, Computer or Mechanical Construction Environmental Processes Research mission is in the areas of digital signal processing, sensor data fusion, neural networks, machine learning and agent-based modeling and simulation. a. Digital signal processing, sensor data fusion, and machine learning: This task goal is to assist in development of methodologies to fuse multi-modal sensor data into a dynamic world view for path planning, navigation, obstacle detection and avoidance for robotic ground vehicles. b. Agent-based modeling and simulation: Another task will be to assist in the development of an agent-based simulation environment, to investigate methodologies that will enable the coordination and collaboration of multiple ground vehicle robots performing complex tasks within a controlled environment. 4 Chemistry, Biology, Biochemistry Construction Environmental Processes The research mission includes the design, synthesis, and mechanisms of organic and metallic catalysts for the treatment of contaminated wastewater. The objective of this work is to research new device designs and functions that can be exploited in applied research for water purification for production of potable water in the field. Further, the task include to assist in uncovering the basis behind selectivity and specificity in photocatalysis to target biological analytes. As primary task, is the development of new modules for advanced oxidation and reduction of recalcitrant contaminants using smart reactive surfaces. Others tasks include new fabrication techniques for nano particulate photo catalysts, bio conjugation chemistry, immobilization, activity assays, and mechanistic pathways for degradation of target analytes.

2 5 Environmental or Civil, Computer Science 6 Civil/Survey, Environmental/Physical Science/Physics/ Mathematics Construction Ecological Processes Geospatial Research Laboratory (GRL) Topography, Imagery, and Geospatial Research Data and Signatures Analysis Alexandria, Virginia Topics explored will focus on assessing climate change impacts on military lands. Additional tasks may include developing Phython codes for integrating vehicle tracking systems (GPS) data output into existing Army models which will calculate land impacts and distribution of impacts. The task will include data analysis, focus on reduction of large amounts of data and information into summary documents, and code development for GIS tools. Participation in this research will offer involvement in system optimization and sustainable design. Other tasks include the assessment of scientific papers and applying algorithms/approaches to new areas of land management using tools such as: Phython, AutoCAD, and ArcGIS. Army Terrestrial Environmental Modeling and Intelligence Systems (ARTEMIS): Soil moisture and soil characterization analysis for Terrain Phenomenology and Mapping; and Geo-Intelligence in Complex Urban Environments (GeoICUE): Terrestrial Analysis of Dense Urban Areas for Tactical Operations and Data Exploitation. Depending upon the timing of ongoing projects, the research includes one or more of the following activities: Data acquisition and analysis for soil/soil science characterization Field data collection for attributing digital scenes Civil engineering and surveying techniques Geographical Information Systems, remote sensing, and mapping environmental data The research focus will be on a a geospatial application which allows for disconnected visualization and data management with software analysis tools and development using Java, C++, Python or related programming languages. Other tasks may include one or more of the following activities: Geospatial data visualization and storage development Windows based geospatial visualization and data creation development Field data collection and analysis/post processing Implementation of existing data security techniques and programming concepts (on device and in transmission) Analytical tools development towards soil sciences/engineering and mapping 7 Computer Science/Civil/Survey Environmental/Physical Science/Physics/Mathematics Geospatial Research Laboratory (GRL) Topography, Imagery, and Geospatial Research Data and Signatures Analysis Alexandria, Virginia Army Terrestrial Environmental Modeling and Intelligence Systems (ARTEMIS): Soil moisture and soil characterization analysis for Terrain Phenomenology and Mapping; and Geo-Intelligence in Complex Urban Environments (GeoICUE): Terrestrial Analysis of Dense Urban Areas for Tactical Operations and Data Exploitation. Depending upon the timing of ongoing projects, the research includes one or more of the following activities: Data acquisition and analysis for unmanned ground sensor characterization Algorithm Simulation experiments for unmanned ground sensors Field data collection for attributing digital scenes Testing feasibility of portable water purification backpacks with decontamination and global positioning geospatial networked apparatus The research focus will be on Open Source software platforms (Android) to deploy a geospatial application which allows for disconnected visualization and data management using Java, C++, Python or related programming languages. Other tasks include one or more of the following activities: Android based geospatial data visualization and storage development Windows based geospatial visualization and data creation development Implementation of existing data security techniques and programming concepts (on device and in transmission) Android based analytical tools development

3 8 GIS, digital image processing, multidisciplinary earth systems science Geospatial Research Laboratory (GRL) Topography, Imagery, and Geospatial Research Data and Signatures Analysis Alexandria, Virginia Research supports Army Terrestrial Environmental Modeling and Intelligence Systems (ARTEMIS): Soil moisture and soil characterization analysis for Terrain Phenomenology and Mapping; and Geo-Intelligence in Complex Urban Environments (GeoICUE): Terrestrial Analysis of Dense Urban Areas for Tactical Operations and Data Exploitation. The Remote Sensing Research Team (RSRT) supports multi-disciplinary earth systems research investigations using advanced image processing and geospatial data analysis techniques to develop and test terrain-based tactical decision aids. Specific Tasks: The primary tasks may include: (1) assist in investigating urban, near-urban and rural land surface classification techniques on high resolution and super resolution multispectral imagery using commercial image processing software (e.g., ENVI, ArcGIS), (2) assist in the design and collection of ground reference data at local study sites, and (3) assist in statistical analyses of all collect field data to support image classification and quantitative thematic accuracy assessments. 9 Civil Systems and Materials Concrete Materials Modeling, characterization, and modernization of cementitious and concrete based materials is currently a key area of research interest for civil and military engineering. This effort continues the ERDC focus on materials-by-design and non-traditional cementitious mixtures. Research of this nature includes characterization of composite materials, formulation of materials mixture designs, and experimental evaluation of final properties. Specific Tasks: The first task will be literature review and characterization experiments on new constituent materials for composite mixture design. Mixture proportioning will then be conducted using multiple trial mixtures, and physical test specimens will be created. Property evaluations will be conducted on physical specimens to assess the feasibility of the trial mixture designs. Multiple cycles of trial mixture designs, creation of physical specimens, and evaluation of specimens will likely be required to formulate relationships between new constituent materials and final properties. Activities will be documented in a final report. 10 Mechanical Systems and Materials Concrete Materials This research supports material development activities for Force Projection in the Military and also Installations Research in the Environmental Quality and Installations Business Areas. Specific Tasks: The main task is to characterize a variety of advanced metallic materials in support of research projects for force protection and projection systems as well as corrosion mitigation. This characterization work will include specialized mechanical and corrosion testing to determine material properties and behaviors in severe environments. In addition, microstructural and chemical characterization using microscopy and other analytical methods to study the microstructure of materials, phase, and chemical composition. The goal of this work is to develop structure vs. property correlations for these materials. 11 Civil Systems and Materials Effects The research work will focus on Forensic Encyclopedia Project which encompasses the CALDERA, VBIED, and FERRET programs. These efforts involve the evaluation of various weapon signatures against soil or armor targets in an attempt to provide a better post-attack assessment of the actual threat. Specific Tasks: 1. Data analysis and reporting, 2. Database input and evaluation, 3. Analysis of photographs using photogrammetric software tool, 4. Assist with experiment preparation and execution, and 4. Collection of field data. 12 Civil Systems and Materials Effects The research work will focus on Forensic Encyclopedia Project which encompasses the CALDERA, VBIED, and FERRET programs. These efforts involve the evaluation of various weapon signatures against soil or armor targets in an attempt to provide a better post-attack assessment of the actual threat. Specific Tasks: 1. Data analysis and reporting, 2. Database input and evaluation, 3. Analysis of photographs using photogrammetric software tool, 4. Assisting with experiment preparation and execution, and 4. Collection of field data.

4 13 Civil Systems and Materials Effects The Impact and Explosion Effects is engaged in multi-disciplinary research and decision support related to environmental management, civil and military engineering, risk analysis, and homeland security. This effort sustains the ERDC mission of Geodynamics Research Facility to perform laboratory mechanical and index property testing that characterizes material response to a range of loading environments. The lab data are used to develop fits for constitutive material models used in computational material modeling. Specific Tasks: The first task of this scope is to assist with the conduct of laboratory and field testing to evaluate material loading response which may include, but are not limited to, preparation of laboratory test specimens and plans, assistance with test apparatus setup, instrumentation calibration, troubleshooting and repair, post-test data processing, and reporting/documentation. A second task may involve assisting with the installation and implementation of new laboratory testing equipment. 14 Civil or Mechanical 15 Civil or Mechanical Systems and Materials Effects Structures Mobility Systems The Impact and Explosion Effects is engaged in multi-disciplinary research and decision support related to environmental management, civil and military engineering, risk analysis, and homeland security. Specific Tasks: The research will be conducted in the Projectile Penetration Research Facility which encompasses both the HIPPO and IFPAAT programs. These efforts involve the running of PENCURV+ and EPIC pretest and post-test calculations. The tasks may involve one or more of the following activities: Data analysis and reporting Analysis of photographs using photogrammetric software tools Assisting with experiment preparation and execution Collection of field data This research sustains the ERDC mission in military engineering and focuses in the area of evaluation of ground vehicle performance in complex geoenvironments. Specifically, the goal of the research in this statement of work is to assist in the study of ground vehicle autonomy systems.. Specific Tasks: The tasks may involve one or more of the following activities: 1. Literature review of existing autonomy systems 2. Data acquisition and analysis for sensor characterization 3. Computer simulations of autonomous navigation 4. Field data collection 5. Conduction and analysis of performance evaluations for perception systems 16 Civil Systems and Materials Structural The Structural conducts research is in support of the Army s Bridge Safety and Waterfront Facilities Evaluation Programs. These programs require the design, construction, maintenance, repair and inspection of bridges and ports worldwide as well as other engineering functions as they relate to transportation structures. The focus of this research is to determine unknown dimensions in bridge foundations. The main objective is to evaluate the predictive capabilities of different analytical methods. Potential methods that will be evaluated to estimate the foundation dimensions are: Reverse, Inference from site conditions, and Artificial Neural Networks. Therefore, this research will involve the following tasks: a. Collection of relevant data about bridges with known foundation dimensions. A variety of documentation that will be used to collect this information includes but is not limited to routine bridge inspection reports, as-built foundation plans, boring logs, among others construction documents. These documents will help with the calibration of the predictive methods. b. Estimate bridge design loads. c. Determine the foundation dimensions using the proposed procedures. d. Validate the predictive processes by comparing the estimated foundation dimensions with real embedment dimensions.

5 17 Civil or Mechanical Structures Structural The mission of this research effort is to study and describe the dynamic behavior of concrete dams by measuring infrasound waves at different loading stages caused by daily operations. For this, the elements that influence the modal response behavior of the dam need to be identified along with their impacts on the structure s natural frequency. The study will also evaluate the possibility of using infrasound wave propagation to differentiate between various types of dam constructions and as a possible method for complementing structural health monitoring systems to provide real time awareness of structural conditions of concrete dams. Specific Tasks: The first task of this scope is the use of infrasound acoustics in combination with seismic and meteorological methods to determine fundamental modes of vibration of the concrete dam. Depending upon timing of ongoing projects, the student may be involved in one or more of the following activities: Finite Element Model Analysis concrete dam using COMSOL multiphysics software. Eigenfrequency Acoustic Model of the Dam. Wave Speed Based Performance Indicators (Field Experiment Data) Computer Aid Design using SolidWorks software to model the reservoir water level Infrasound Data analysis using MatLab. Power Spectra Density (PSD) Fast Fourier Transform FFT Acoustic wave propagation 18 Civil Structures Structural Mechanics Vicksburg, Mississippi The Structural Mechanics conducts needed research on the response of aboveground and shallow-buried structures subjected to military dynamic loads; specifically, the prediction of the load and response to failure of aboveground and shallow-buried structures. This research involves structural analysis and design, with particular interest in structural dynamics. It comprises research and development efforts developing blast mitigation concepts for critical infrastructure. It is necessary also to investigate high performance concrete and its use for hardening Army facilities. Depending upon timing of ongoing projects, the tasks may involve one or more of the following activities: Quasi-static and dynamic testing of UHPC structural components. Analyze experimental data from explosive testing. Develop meaningful plots from raw field data. Contribute to the writing of technical reports. 19 Civil or Mechanical Structures Survivability The Risk and Decision Science Team is engaged in multi-disciplinary research and decision support related to environmental management, civil and military engineering, risk analysis, and homeland security. This effort sustains ERDC mission of Composite Materials for Force Protection. Research in this area includes developing, characterizing, modeling, and testing of layered composite materials for protection against airblast and penetration/fragmentation. Specific Tasks: The first task of this scope is to use existing laboratory and field testing data to evaluate existing methodologies on blast propagation problems. The task involves data processing that will require statistical and deterministic data management. This task will also require the development of High Fidelity Finite Element Models by the end of June. The second task is to code existing methodologies with improvements based on all the experimental data and numerical analyses to predict the behavior of the materials tested in Task One under diverse loading conditions.

6 20 Computer Science and 21 Computer Science and 22 Computer Science and ; Computer Information Technology and Information Technology and Information Technology and The is involved with supporting the use of High Performance Computing resources as platforms for machine learning applications. Machine learning algorithms are able to extract information from large quantities of data that would be difficult or impossible to accomplish with traditional computational methods. As such, HPC-enabled machine learning is a capability that supports multiple ERDC business and mission areas. Research in this area involves identifying and adapting specific machine learning implementations for HPC, removing barriers for the use of such algorithms, and working with teams to adapt or implement the algorithms for specific projects. There are currently application case studies for this initiative from the Engineered Resilient Systems, Military, Water Resources, and Geospatial Research and missions. Specific Tasks: The first task is to establish a complete HPC-based machine learning software infrastructure that will support specific needs of an application. This task involves evaluating existing HPC software, researching potential new components, and resolving any compatibility issues. The second task is to demonstrate the use of the infrastructure on a real ERDC application. The application will be developed or modified to work with the HPC-based machine learning algorithms and will produce one or more models for which performance evaluations will be conducted. The is involved with supporting the use of High Performance Computing resources as platforms for machine learning applications. Machine learning algorithms are able to extract information from large quantities of data that would be difficult or impossible to accomplish with traditional computational methods. As such, HPC-enabled machine learning is a capability that supports multiple ERDC business and mission areas. Research in this area involves identifying and adapting specific machine learning implementations for HPC, removing barriers for the use of such algorithms, and working with teams to adapt or implement the algorithms for specific projects. There are currently application case studies for this initiative from the Engineered Resilient Systems, Military, Water Resources, and Geospatial Research and missions. Specific Tasks: The first task is to establish a complete HPC-based machine learning software infrastructure that will support specific needs of an application. This task involves evaluating existing HPC software, researching potential new components, and resolving any compatibility issues. The second task is to demonstrate the use of the infrastructure on a real ERDC application. The application will be developed or modified to work with the HPC-based machine learning algorithms and will produce one or more models for which performance evaluations will be conducted. The supports the use of High Performance Computing resources as platforms for machine learning applications. Machine learning algorithms are able to extract information from large quantities of data that would be difficult or impossible to accomplish with traditional computational methods. As such, HPC-enabled machine learning is a capability that supports multiple ERDC business and mission areas. Research in this area involves identifying and adapting specific machine learning implementations for HPC, removing barriers for the use of such algorithms, and working with teams to adapt or implement the algorithms for specific projects. There are currently application case studies for this initiative from the Engineered Resilient Systems, Military, Water Resources, and Geospatial Research and missions. Specific Tasks: The first task is to establish a complete HPC-based machine learning software infrastructure that will support specific needs of an application. This task involves evaluating existing HPC software, researching potential new components, and resolving any compatibility issues. The second task is to demonstrate the use of the infrastructure on a real ERDC application. The application will be developed or modified to work with the HPC-based machine learning algorithms and will produce one or more models for which performance evaluations will be conducted. 23 Computer Science Information Technology and The is engaged in multi-disciplinary research and decision support software tools related to numerous topics such as military logistics, nanomaterials, feature detection, military engineering, etc. This effort sustains ERDC mission by developing software tools and developing algorithms. Specific Tasks: Specific tasks are as follows: (a) Participate on interdisciplinary teams in the areas of computer science, computer engineering, physics, mechanical engineering, and/or civil engineering in large-scale research and software development projects; (b) Use of computer science in the application of mathematical principles to assist with research in the development of advanced computational tools; (c) Through C++ programming languages develop code for the UNIX operating systems; (d) Use C#, C++, Python, JavaScript programming languages and MSSQL; (e) Rewrite existing tools in Silverlight with C# to JavaScript with C#. At the end of the work, we expect to have copies of all source codes and all scripts (developed in C++/Python, javascript, C#, or substitute) developed for this project including but not limited to: make files, library version numbers, and complete installation instructions.