Networking, Information Management & Decision Support Using Machine Learning

About the Research

Research opportunities are available in networking and decision support technologies investigation and developing software algorithms and techniques to support human or machine information interactions for the purpose of information retrieval/dissemination, analysis and/or decision making. Research will involve one or more of the following areas:

• Developing algorithmic frameworks and models for information interaction and network characterization and optimization.
• Investigating relationship between various system and network architectural layers and relationships between respective protocol capabilities and characteristics, as well as networking analysis and/or decision analytic tools and software.
• Researching information retrieval, information dissemination, decision science, information presentation, or human information interaction.
• Analyzing, designing, and/or developing network transport protocol/software/middleware applications across varied communication mediums.
• Understanding networked information systems and/or networked devices in distributed configurations that provide decision support data or analytical capabilities.
• Generating computationally numerical algorithms for data processing and analysis using supervised and unsupervised machine learning models and methods, particularly involving network data analysis and/or decision support methods.
• Developing applications for deterministic and stochastic optimization, probability, information theory, and/or data modeling.

Experience with analytical tools such as MATLAB, R, SAS, or similar, and related programming languages such as Python, Java, JavaScript, and/or database/scripting languages is needed.

• Degree:
  Master's Degree or Doctoral Degree.
• Academic Level(s):
  Any academic level.
• Discipline(s):
  • Computer, Information, and Data Sciences
  • Artificial Intelligence (including Robotics, Computer Vision, Human Language Processing, and Machine Learning)
  • Computer Architecture and Grids
  • Computer Science
    - Languages and Systems
  • Computer Science
    - Theoretical Foundations
  • Computer Science (general)
  • Computer Systems Analysis
  • Computer Systems Design (including Signal Processing)
  • Databases, Information Retrieval, and Web Search
  • Graphics and Visualization
  • Human Computer Interaction
  • Information Science and Technology
  • Information Security and Assurance
  • Networks and Communications
  • Operating Systems and Middleware
  • Scientific Computing and Informatics
  • Software Engineering
• Engineering: (27)
• Mathematics and Statistics: (10)
• Science & Engineering-related: (1)
• Age:
  Must be 18 years of age.