Chase Riggins is an electrical engineering student seeking an internship with experience in radio frequency software, high-level programming languages, analog circuit simulation software, and test and measurement equipment. He has interned twice at Goodman Networks where he designed indoor wireless networks using propagation modeling software and generated reports to meet client requirements. Riggins maintains a focus on communication, networks, and signal processing and has completed an honors senior design project involving optical music recognition.
Embedded real-time software construction has usually posed interesting challenges due to the complexity of the tasks these systems have to execute. Most methods for developing these systems are either hard to scale up for large systems, or require a difficult testing effort with no guarantee for bug-free software products. Construction of system models and their analysis through simulation reduces both end costs and risks, while enhancing system capabilities and improving the quality of the final products. This is a useful approach, moreover considering that testing under actual operating conditions may be impractical and in some cases impossible. In this talk, we will present a Modeling and Simulation-based framework to develop embedded systems based on the DEVS (Discrete Event systems Specification) formalism. This approach combines the advantages of a simulation-based approach with the rigor of a formal methodology. We will discuss how to use this framework to incrementally develop embedded applications, and to integrate simulation models with hardware components seamlessly.
Graph-Based Performance Analysis at System- and Application-Level [SSP 2020]Richard Müller
The Kieker plugin for jQAssistant transforms monitored log data into graphs to support software engineers with performance analysis. In this paper, we describe how we have extended and improved this plugin to support performance analysis at system- and application-level and how we have evaluated its correctness and scalability using data from recent experiments. This is a first step to replicate complete experiments in the field of performance analysis using graphs.
Embedded real-time software construction has usually posed interesting challenges due to the complexity of the tasks these systems have to execute. Most methods for developing these systems are either hard to scale up for large systems, or require a difficult testing effort with no guarantee for bug-free software products. Construction of system models and their analysis through simulation reduces both end costs and risks, while enhancing system capabilities and improving the quality of the final products. This is a useful approach, moreover considering that testing under actual operating conditions may be impractical and in some cases impossible. In this talk, we will present a Modeling and Simulation-based framework to develop embedded systems based on the DEVS (Discrete Event systems Specification) formalism. This approach combines the advantages of a simulation-based approach with the rigor of a formal methodology. We will discuss how to use this framework to incrementally develop embedded applications, and to integrate simulation models with hardware components seamlessly.
Graph-Based Performance Analysis at System- and Application-Level [SSP 2020]Richard Müller
The Kieker plugin for jQAssistant transforms monitored log data into graphs to support software engineers with performance analysis. In this paper, we describe how we have extended and improved this plugin to support performance analysis at system- and application-level and how we have evaluated its correctness and scalability using data from recent experiments. This is a first step to replicate complete experiments in the field of performance analysis using graphs.
1. CHASE RIGGINS DESIGN ENGINEER INTERNSHIP CANDIDATE
972.786.4829 • chase.riggins@utexas.edu Austin, TX • 78705
A highly skilled Electrical Engineering student seeking new opportunities for a summer internship in a related field.
An analytical professional skilled in expertly using cutting-edge tools, techniques, and technologies. A collaborative
communicator continually focused on building relationships and promoting synergy across operations.
Areas of Expertise include:
Radio Frequency Software: Pathloss, MapInfo, iBwave
High-Level languages: C, C++, Java, XML, SQL
Analog Circuit Simulation: PSpice, Multisim, Simulink, Simuaid, Logicaid
Test and Measurement: Signal Generator, Oscilloscope, Logic Analyzer
Software Development: Eclipse, TI Code Composer Studio, Visual C++, Android Studio, VS 2015
Algorithm Development: LabVIEW, MATLAB, Mathematica
Assembly Languages: TI TMS320C6700 DSP, Stellaris LM3S1968, Freescale 6812
Software: Adobe: Acrobat, Audition, Bridge, Dreamweaver, Photoshop; MS: Office Suite,
Visio, Access, Project, OneNote, Outlook, Publisher, Power BI
EDUCATION & TRAINING
Bachelor of Science in Electrical Engineering
THE UNIVERSITY OF TEXAS AT AUSTIN | Austin, TX | Expected 12/2016
Primary Focus: Communications, Networks, Signal Processing
Secondary Focus: Computer Architecture, Embedded Systems
EE 464R – Honors Senior Design Project: Client: Google, Spring 2015
Created an application for Google Glass that optically recognizes sheet music; developed project management
skills by working with five other classmates for nine months; devised OMR pipeline algorithm in Matlab and
converted scripts to executable Python code.
Relevant Coursework:
Real-Time Digital Signal Processing Lab | Antennas & Wireless Propagation | Microwave & Radio Frequency
Engineering | Digital Logic Design | Computer Control Systems | Embedded Systems Design Lab | Algorithms |
Computer Architecture
EXPERIENCE & NOTABLE CONTRIBUTIONS
GOODMAN NETWORKS • Plano, TX
RADIO FREQUENCY ENGINEERING INTERN, SUMMER 2015
Designed multilevel indoor network architectures using iBwave Design; generated propagation data, needed RF
components and configurations, cost estimates, and the overall network map to meet client requirements (RSSI).
KEY ACCOMPLISHMENTS:
• Computed the Link Budget for various multilevel indoor DAS configurations.
• Reduced daily KPI-report generation process by 60% using Excel macros.
RADIO FREQUENCY ENGINEERING INTERN, SUMMER 2014
Generated microwave line-of-site surveys using Pathloss for cell site upgrades and prepared MapInfo geo-plots to
assist with drive testing and underground fiber line connections.
KEY ACCOMPLISHMENTS:
• Assisted with the department's terrain data and land cover database upgrades.
• Created step-by-step tutorials for Pathloss and MapInfo to reduce future employee training overhead.