Please ensure Javascript is enabled for purposes of website accessibility Faculty | Intelligent Systems and Robotics | University of West Florida
Skip to main content
Logo of University of West Florida
Stephen Russell

Dr. Stephen Russell

  • Position: Professor
  • Department: Intelligent Systems and Robotics
  • Office Location: Remote Office
  • russell@uwf.edu
  • Campus: 850.474.2963

Biography

Dr. Stephen Russell is a Professor in the Department of Intelligent Systems and Robotics at the University of West Florida.  Previously, Dr. Russell was the Chief Data Scientist and Director of the Data Science Department for Jackson Health Systems. Prior to Jackson Health Systems, Dr. Russell was the Information Sciences Division Chief at the Army Research Laboratory (ARL).  Dr. Russell received a B.Sc. in Computer Science and M.S. and Ph.D. degrees in Information Systems from the University of Maryland Baltimore County.  While at ARL, Dr. Russell also conceived, established, and led the Army’s Internet of Battlefield Things research, which focused on multiple challenges incorporating AI and IoT concepts and capabilities for warfighters in battlefield environments. Before working at ARL, he was a Section Head with the US Naval Research Laboratory. Before his government service, Dr. Russell was a faculty member at George Washington University, where he received notable accolades such as a National Academies of Science Fellowship and multiple research grant awards. He holds a patent (#10354192) for a combined exploratory data analysis recommender system. He has also been a serial entrepreneur, owning companies that have specialized in software engineering, information resource management services, and telecommunications equipment manufacturing. 

Dr. Russell has published numerous books and papers in his primary research areas of decision support and intelligent systems, AI and machine learning, and human-machine teaming for intelligent systems. His experience spans over 30 years of industry, academic, and government experience in management and technical positions. He has a long history of research in data science, AI & machine learning, intelligent systems, networking, and information management.  His most recent work focuses on human-centered intelligent system adoption and design for AI-enabled systems, specifically in healthcare.

Degrees & Institutions

  • University of Maryland Baltimore County, Information Systems, Ph.D., 2008
    Dissertation Topic: Presence Awareness and Data Utility in Decision Support Systems for Pervasive Computing Environments
  • University of Maryland Baltimore County, Information Systems Management, M.S., 1997
  • University of Maryland Baltimore County, Computer Science, B.S., 1995

Research

  • AI and Data Science in Healthcare:  Investigation of methods and formulations to address the complexity and limitations of learning and reasoning in healthcare operations and clinical settings.
  • Intelligent Agents and Cyber:  Developing novel multi-agent algorithms for AI/machine learning (e.g. MoEs), knowledge discovery, data fusion, and information retrieval/network tasks.
  • Intelligent Systems Adoption and Human-Machine Teaming: Investigation of approaches and frameworks to address the complexity and limitations of learning, reasoning, and automation in the context of intelligent system augmented decision making.

Publications

  1. Moskowitz, I. S., Rogers, P., & Russell, S. (2022). Mutual Information and Multi-Agent Systems. Entropy, 24(12), 1719. https://doi.org/10.3390/e24121719
  2. Russell, S., & Kumar, A. (2022). Providing Care: Intrinsic Human– Machine Teams and Data. Entropy, 24(10), 1369. https://www.mdpi.com/1099-4300/24/10/1369
  3. Li, S., Huang, Y., Li, C., Jalaian, B. A., Hou, Y. T., Lou, W., & Russell, S. (2021). Maximize Spectrum Efficiency in Underlay Coexistence with Channel Uncertainty. IEEE/ACM Transactions on Networking, 29(2), 764–778.