Student Research Areas

CSU Systems Engineering students are individuals of outstanding accomplishment and capabilities.  Our students are pulled from an international pool of applicants and are provided with the resources, mentorship, and tools to develop into extraordinary researchers and systems engineering leaders.

Below is a sample of some of our students’ topics for projects or dissertation research (as of January 2018):

  • PV Penetration Impact Studies
  • Systems engineering problems in the domain of Software Defined Networking and Network Function Virtualization and Cloud Communications
  • Geospatial and Temporal Real-time Anomaly Detection Architecture
  • Emergency Response Application of CLIOS Process to Bay Area Quantitative Information System
  • Using Systems Engineering Theory to Study the Global Economic Cycle
  • Methods for Evaluating High Penetration Customer-Site Resources in Distribution Systems
  • Systems Engineering of Coastal Restoration Efforts
  • Development and Evaluation of Approaches for Estimating Changes in Percentile Values in the Tails of Stochastically Varying Population Distributions
  • Organizational Modeling Using Model-Based Systems Engineering (MBSE) to Facilitate Transition and Integration of Scientific Research into Production Environments
  • Simulation of the Army Officer Career Path using a Hybrid Discrete and Event Graph Simulation Methodology in MS Excel to Optimize Officer Management
  • Improving Construction Machine Engine System Durability in Latin American Conditions
  • Cost-based Risk Management of Missions Critical Microgrids with Nonmyopic Operational Strategies
  • Optimal Release Schedule for Maximizing Hydropower Generation in a Cascade Multipurpose Reservoir System
  • A Feasibility Study for Using a Cygnus Derived Spacecraft as a Habitat in Deep Space Exploration
  • Examination of how a system dynamic model can help achieve the triple aim of improving efficiency, effectiveness, and outcomes
  • Use of Fuzzy Cognitive Maps (FCM) to Model Human Operator Performance and Learning in Safety Critical Systems
    A New Approach for Forecasting Stock Prices using Principal Components
  • Warfighter’s Perspective of the Space Warfare Construct
  • Benefit-Based Evaluation of Cybersecurity Risk Management
  • Innovative Hydrogen Station Opoeration Strategies to Increase Availability and Decrease Cost
  • System Performance, Reliability, and Life Cycle Cost Optimization
  • Application and analysis of packet and event reordering theory
  • Impacts of Advanced Manufacturing Techniques on the Design, Development, and Capability of Space Systems
  • Automatic control of the seed drying process on Oliver’s Fluidized Bed Dryer
  • Optimal Sensor Placement for Sewer Overflow Reduction
  • Reliability-Based Risk Management and Assessment
  • Autonomous UAV Control and Testins Methods Utilizing Partially Observable Markov Decision Processes
  • Development of a Decision Support System to Determine Dynamic Cleaning Schedules for Stormwater Catch Basins in Augusta, GA
  • Optimization M&S Approaches for Penetrating Platform Survivability Testing
  • Optimization of Energy Storage Devices in Long Period Systems (Degradation, Load and Capacity)
  • Systems, Systems Thinking, and Systems Dynamics Approach to State and Regional Water Supply Planning
  • System of Systems Quality Attribute Balancing
  • Optimizing precision in stochastic bundle processing of bits synthesizing
  • Adapting optimization of continuous-time Markov decisions processes constrained by endogenous habit behavior using convex duality
  • System Engineering of Shipboard Multi-Frequency Communications Systems
  • Incorporating Machine Learning Principles into Systems Engineering Framework to Aid Simulation and Testing
  • Water Resources Infrastructure Management under a Changing Climate
  • NASA Aircraft Operations Architecture, Modeling, and Optimization
  • Model-Based Architecture Optimization within Military Satellite Communications
  • Effects of Voltage Reduction on the Residential Distribution Grid
Chevy Volt
CSU SE students developed the hardware and software for this cost-optimized electric vehicle supply equipment that can perform active charging control, demand response, and frequency regulation as requested by a Smart Grid. 
  • Analysis of non-fitting data to a priori reference for characteristic sampling errors
  • Using Expert Systems to Build Manufacturing Schedules in the Biotech Industry
  • Algebraic Model for Goals Engineering
  • Energy Systems-Microgrid Development
  • Systems Engineering Approach to Establishing Performance Metrics in an Engineer-to-Order (ETO) Business
  • Efficient resources deployment and risk management in microgrid
  • Identification and Incorporation of Learning Curve Effects into Systems Engineering Architecture Development and Assessment
  • A Model-Based Architecture Approach to Deliver Responsive Space Communications
  • Simulation of Visual and Memory Representation of Human Brain using Neuromorphic Engineering
  • Systems Engineering Approach in Designing Nanotechnology Curriculum for a Statewide Community College System
  • Comprehensive Management of Islanded Microgrids for Sustainable Development from a Systems Engineering Standpoint
  • Study Renewable/PV Penetration with a goal to help cities achieve sustainable and healthy future
  • Mitigating communication delays in remotely connected hardware-in-the-loop experiments.
  • Impact of Thermostate on Energy Savings and Greenhouse Emissions
  • Architecture Trade Study of Aerospace Platforms Used to Detect Wildfires
  • Multi-Attribute Optimization Decision Tools for a Marine Electrical Plant Design
  • Semi-autonomous sensor data processing on-board an UAV(Unmanned Aerial Vehicle) for near real-time wildfire detection.
  • A model based approach to overcoming inefficiencies in accrediting US Government information technology (IT) systems.
  • Anomaly Detection and Analysis System (ADAS) for an Unmanned Air Vehicle (UAV) Guidance, Navigation and Control System
  • Energetic Analysis of Upsteam Oil and Gas Processes
    Multi-Physics Model Based Engineering Solutions/Design and Optimization applied to military applications in the aerospace industry with an emphasis on Cost
  • Systems Engineering application to Energy Management
  • Deep Learning in the Application of Complex Imagery and Object Tracking
  • Development of an analytic method for the identification of multiphysics needs during concept development
  • Application and Development of Machine Learning to Optimize Manufacturing Production Systems (with focus on die casting process)
  • Systems Engineering Applications to Enterprise Portfolio Planning
  • Uncertainty in the Assessment of Objective Margin and Risk
  • Effectiveness of Modeling and Simulation in Application to Aircraft Survivability
  • Big Data to Actionable Intelligence
  • Cognitive Systems Design in Insurance Services
  • Deception model for use on autonomous systems with embedded AI
  • Renewable Energy for Municipal Utilities
  • Blockchain-based transactive energy supergrids

 

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Systems Engineering

Email

sys_engr_info@engr.colostate.edu

 

Phone

Toll free: (877) 491-4336
Fort Collins: (970) 491-7067