The world-class research conducted in Kansas City has brought national and international recognition to UMKC’s School of Computing and Engineering.
Faculty members have earned funding from the National Institutes of Health, National Science Foundation, Defense Advanced Research Project Agency and industries. Many faculty members have been invited to serve as National Science Foundation review panelists.
Our faculty members constantly look to new areas of exploration, including the life sciences. The department has collaborated with the life and health science schools at UMKC, and other life science partners, through the Kansas City Area Life Sciences Institute (KCALSI).Civil and Mechanical Engineering research
Research and expertise within the civil discipline focuses primarily on structural analysis and design, river mechanics, storm water management and sustainable materials. Areas of focus within the mechanical discipline include thermal and fluid engineering, biomechanics and aerospace.
- Biomechanics of Human Balance
- Biomedical Engineering
- Blast and Seismic Simulation
- Computational Biomechanics
- Durability of Cement-Based Materials
- Kansas City Stormwater
- Musculoskeletal Modeling
- Refrigeration Applications for Food and Beverages
- Structural Engineering
- Sustainable Construction Materials
- Water Resources and River Engineering
Much of the research and expertise within the Computer Science Electrical Engineering Department are in the broad areas of networking and communications, signal and image processing, software engineering and systems, electromagnetics and mixed signals, database and information management, VLSI and embedded systems, and bioinformatics.
Among the research topics:
- Algorithms and Software Engineering
- Computational Electromagnetics/Antenna Lab
- Computational Intelligence and Bio-Identification Lab
- Database and Information Systems
- Low Power Embedded Systems Design and Synthesis
- Networking and Multimedia Systems Lab (NMSL)
- Networking Research Lab (NetReL)
- Pervasive Computing and Object Self-Synchronization
- Systems Performance Engineering and Applied Queueing