Research in the biomedical area includes the development of devices for both human and animal health care. This includes biomedical sensors, therapeutic medical devices, embedded systems, bio-fabrication, communication circuits, wireless communications, energy harvesting, signal processing, brain-computer interfaces, biosecurity and image processing, infectious disease prediction and mitigation.
- Faculty: Warren, Prakash, Scoglio, Thompson
- Facilities: Biomedical Computing and Devices Lab, Biomedical Suite, Medical Component Design Lab, NetSE Group, Brain and Body Sensing Lab
Power Electronics and Energy Research
Current research in power electronics and energy includes work in Single-Stage Boost Inverters for 3-phase power systems, fault-tolerant cascaded multilevel converters, and grid-interactive Voltage Source Inverters. This work intersects with K-State's research into smart grid technology and renewable energy sources.
Network Science and Engineering
K-State ECE research in the network science field includes work in cutting-edge network theory problems, developing real-world solutions to computer networks and stochastic spreading processes on networks.
Wireless communications research at K-State ECE includes work on distributed sensor networks, GPS technology, MC-CMDA systems, Software Defined Radio, energy harvesting and RFIC inductors, among other fields.
Power Systems and Smart Grids
Research in the power systems and smart grids area is focused on creating an adaptive, secure, and intelligent power grid to help ensure consistent power delivery from a changing grid topology that includes more distributed, renewables-based power generation and new demand-side technologies from emerging transactive markets. Research in this area also optimizes strategies for effectively interconnecting renewable resources (i.e., wind and solar energy) and emerging energy efficiency technologies (e.g., electric vehicle, smart home/building, advanced energy management system) in the electric power system.
Micro and Nanoelectronics
Machine Learning, Multi-Agent Systems, Modeling and Optimization
Research in the artificial intelligence field is focused on the software that makes smart power systems function with work in areas such as machine learning, game theory, multi-objective optimization and soft computing, among others.
- Faculty: Das, Wu
- Facilities: Agents, Algorithms and Artificial Intelligence Group