Daniel Davis, Phd Email & Phone Number

Huntsville, Alabama, Us

U.S. Army Combat Capabilities Development Command (CCDC) Aviation & Missile Command U.S. Army's Air Missile Defense - Science and Technology (S&T) programsArmy Rapid Capabilities and Critical Technologies Office programResearched, designed and prototyped a distributed architected simulation tool suite for fire control designs and algorithms. Allows for experimenting, modeling and demonstrating complex air and missile defense systems with prospective fire control algorithms and design enhancements. Researched machine learning regression and neural network algorithms to develop the capability of predicting the divert capabilities of simulated missiles. Exploring the usage of RNN, LSTM, and GRU for time series prioritizing of threat shot patterns using directed energy weapons (DE M-SHORAD). Created classification service to predict classification of AFSIM-based simulated threats using machine learning algorithms.Developed and trained machine learning models using Python Sklearn, TensorFlow and Keras packages. Developed capabilities to config machine learning algorithms and hyper-parameters via YAML/JSON configuration files to expedite development and training of Python machine learning models. Developed approach to apply normalization and feature encoding for times series datasets.Helped with the creation of a user interface in React for investigating air defense simulated scenarios with Commander/Gunner firing controls. Lead research and prototyping of Microsoft HoloLens 2 and Unreal Engine 4 capabilities for creation of Augmented Reality overlays for military control stations. Leading machine learning team of engineers to build a reinforcement learning data processing pipeline around AFSIM simulator. Involving the integration of Python Gym RL framework with C++ services and AFSIM for action handling into AFSIM as well as observation and reward feedback to RayRL and Stable Baselines3 for RL policy training.

Arlington, Va, Us

Raytheon IDS Patriot Air and Missile Defense Systems Program• Upgrades to the Warfighter Machine Interface (WMI)• Modernization of the manstation interface for Raytheon’s Warfighter Machine Interface (WMI) to replace the existing Patriot manstation• Updated the source code for the communication between existing system and WMI• Participated in remote team communications and meetings for software developmentRaytheon IDS Cooperative Engagement Capability (CEC) Program• Implemented features and identified software bugs in source code• Updated IBM Rational Rhapsody models to generate updates in source code• Developed new and updated existing regression unit tests and test reports• Tested software modifications using John Hopkins APL WASP emulation toolkit application

Huntsville, Al, Us

• Worked on Army SBIR Phase II Project entitled "Automated and Dynamic Access Control (ADAC) to Critical Missile System Data". Researching the requirements to perform data analysis on the data flows in a distributed missile control system to provide access management. Co-Leading the structural design for incorporating the software in a distributed military missile system. Created a Software Requirements Specification (SRS) template document for software products.• Worked on CFDRC IR&D Project entitled "Business Intelligence". Requirements gathering to build a software toolkit that can provide automated and intelligent business analytics to CFDRC's research efforts. Researched various methods to combine business intelligence with data science to allow for greater understanding of a company capabilities. • Worked on Navy SBIR Phase I Project entitled “A Software Tool to Aid Informatics Based Material Development for Gas Turbine Engines”. Researched and worked on the development of software that scrapes online material databases and create a single database of information from heterogeneous data sources. Designed to provide a custom and complete information-based material database for inputting data into specialized algorithms that perform advanced analytical material research. Database is built by scraping online material databases and relying upon data fusion algorithms to integrate into a single database. The program is designed to act as a software tool-kit for the Integrated Computational Materials Engineering (ICME) community to use for assistance in material development with multiple material components.

Huntsville, Al, Us

Research in Cyber Security and Information Assurance in Aerospace & Defense Division• Worked on Air Force Research Lab SBIR Phase II Project entitled “CAPSA: Controlling Access using Proximity-focused Semantic Analysis”. Worked on the development of social network analysis software that is capable of determining key persons of interest based on their access to information. Designed as a new access control mechanism to determine connections between users and resources. Takes a need-to-know approach to granting access to resources. Analyzes the semantic connections between entities to determine access privileges in near real time. The program examines multiple aspects to determine the proximity of users to resources. • Worked on Air Force Research Lab SBIR Phase II and Phase II-E Project entitled “METSI: Metadata Establishing Trust in SOA-based Information”. Worked on the development of software that can mathematically calculate the Quality-of-Information in web-based distributed environments. Designed to determine the trustworthiness of Information Objects by tracking the quality of information as it is modified, aggregated, and transformed. Developed multiple metrics that examine different aspects of information quality. Developed machine learning techniques to optimize for different environments and customize to user's preferences. Final product provides visual demonstration of our developed algorithms.• Researched and documented cyber-security testing procedure for performing cyber-security penetration testing. • Created documentation documents and technical reports for research projects.

Huntsville, Al, Us

Graduate level research assistant at the Department of Psychology at the University of Alabama in Huntsville in collaboration with the Department of Computer Science at the University of Alabama in Huntsville. Researched the capabilities and features of devices and software applications that monitor the eye movements of users. Purpose of research was to examine cybersecurity learning modules that are designed to provide Computer Science students a step-by-step approach to deploying cybersecurity algorithms across heterogeneous electronic devices. Worked was supported by NSF grant #1220026, SBES: Small: Developing Countermeasures to Mitigate Psychology Cyber-Attacks on Personal Identity Information was awarded by the NSF Science and Trustworthy Cyberspace (SaTC) program.

Huntsville, Al, Us

Graduate level research assistant at the Department of Computer Science at the University of Alabama in Huntsville. Researched the capabilities and performance results of using public-key and symmetric-key cryptography algorithms on various platforms. Examined RSA and AES algorithms on devices ranging from the personal computer, to an Android tablet, and to sensors deployed in the Internet-of-Things. Additionally, examined algorithms related to Digital Signatures and cybersecurity hashing. Work completed with the creation of four learning modules to provide Computer Science students a step-by-step approach to deploying cybersecurity solutions. Worked was supported by NSF grant #1043945, PSP: A Novel Framework to Teach Students Security and Privacy for Pervasive Computing Environments was awarded by the NSF Scholarships in Science, Technology, Engineering, and Mathematics (S-STEM) program.

Doctor Of Philosophy - Phd, Computer Science

Master Of Science (M.S.), Computer Science

Bachelor Of Science (B.S.), Computer Science

High School Diploma