Roy McCann Source Confirmed
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Professor
University of Arkansas at Fayetteville
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Biography and Research Information
OverviewAI-generated summary
Roy McCann is a Professor in the Department of Electrical Engineering and Computer Science at the University of Arkansas at Fayetteville. His research interests include power systems, artificial intelligence, and computer science applications. McCann has published extensively, with 137 total publications and a h-index of 14. His work has been cited 888 times. He has received federal funding from the National Science Foundation (NSF) for the I-Corps program, totaling $50,000, to develop servomotor actuators utilizing advances in metallic additive manufacturing. McCann leads a research group and maintains an active lab website, indicating ongoing research activities. He has collaborated with several researchers at the University of Arkansas at Fayetteville, including Mojtaba Ahanch (14 shared publications), Daniel R. Jagessar (6 shared publications), Muthanna Al-Sarray (4 shared publications), and Lizbeth Guardado (2 shared publications). McCann's recent publications span topics such as aerial image segmentation using multi-resolution transformers, malware detection for the Internet of Things, and power system stabilization in wind-dominated grids. He has also investigated integrated voltage control and conservation voltage reduction in unbalanced distribution networks and assessed grid strength and maximum loadability in wind-dominated power systems.
Metrics
- h-index: 14
- Publications: 137
- Citations: 888
Selected Publications
- Considering Bulk Data Centers in Hybrid AC/DC Transmission Network Expansion Planning (2025) DOI
- A Methodology to Monitor Dynamic Line Rating Compliance in Transmission Lines Using PMU Data (2025) DOI
- Comprehensive Risk Assessment of Power Grids Using Fuzzy Bayesian Networks Through Expert Elicitation: A Technical Analysis (2025) DOI
- SolarFormer++: Multi-scale Transformer for Solar PV Profiling and Obstruction Localization for Degradation Mitigation (2025) DOI
- Real-Time Inertia Estimation and Validation Using PMU Data and the Swing Equation in Power Systems (2025) DOI
- S3Former: A Deep Learning Approach to High Resolution Solar PV Profiling (2025) DOI
- Investigating Effects of Timescale Delays on the Ride-Through Capabilities of the Grid-Forming Inverter (2024) DOI
- An Innovative Design of a Permanent Magnet-Assisted Synchronous Reluctance Motor to Improve Torque Performance for High Speed Applications (2024) DOI
- Zener Diode Controlled GaN FET Gate Drive Protection Scheme (2024) DOI
- Comprehensive Optimization of a Dual Active Bridge Converter to Reduce the Current Stress for Battery Energy Storage Applications (2024) DOI
- AerialFormer: Multi-Resolution Transformer for Aerial Image Segmentation (2024) DOI
- Malware Detection for Internet of Things Using One-Class Classification (2024) DOI
- Multi-Period Transmission Expansion Planning Considering Hybrid AC and HVDC Systems and the Integration of PV Generation (2024) DOI
- Novel Design of Permanent Magnet-Assisted Synchronous Reluctance Motor Using Metal Additive Manufacturing Technology (2024) DOI
- A Novel Higher Stator Slots Surface-Mounted Permanent Magnet Motor for Variable Speed Drives (2023) DOI
Federal Grants 1 $50,000 total
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