Personal profile
Research Interests
His current research interests are in the areas of Computer Vision and Artificial Intelligence, with applications in automotive, consumer and environmental spaces
Teaching Interests
Dr. Scanlan currently teaches several modules on the University of Limerick Artificial Intelligence programmes. This includes CE6021 Machine Vision and; Image processing on the full time MSc in Artificial Intelligence, CE6003 Machine Vision on the online MSc in Artificial Intelligence and CE5021 Deep Learning for Computer Vision on the Professional Diploma in Artificial Intelligence for Computer Vision.
Biography
Dr. Scanlan is a Senior Research Fellow in the Department of Electronic and; Computer Engineering and member of the Data Driven Computer Engineering (D2iCE)andnbsp;research group. His current research interests are in the areas of Computer Vision and Artificial Intelligence, with applications in automotive, consumer and environmental spaces.andnbsp;He graduated with a BSc in Experimental Physics from N.U.I. Galway in 1998.andnbsp;From 1998 to 2002 he worked as a Design Engineer in the video product Group at Analog Devices Limerick. From 2002 to 2005 he completed his PhD at the Circuits and Systems Research Centre (CSRC) at the University of Limerick. The focus of this research was design automation techniques for pipelined Analog to Digital Converters. His previous research has included data converter design, signal processing and electronic circuit modelling.
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Collaborations and top research areas from the last five years
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Minimizing Occlusion Effect on Multi-View Camera Perception in BEV with Multi-Sensor Fusion
Kumar, S., Truong, H., Sharma, S., Sistu, G., Scanlan, T., Grua, E. & Eising, C., 2025, In: IS and T International Symposium on Electronic Imaging Science and Technology. 37, 15, AVM-113.Research output: Contribution to journal › Conference article › peer-review
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SOLAS: Superpositioning an Optical Lens in Automotive Simulation
Jakab, D., Barthel, J., Braun, A., Mohandas, R., Deegan, B. M., Kumbham, M., Molloy, D., Collins, F., Scanlan, A. & Eising, C., 2025, In: IS and T International Symposium on Electronic Imaging Science and Technology. 37, 15, AVM-101.Research output: Contribution to journal › Conference article › peer-review
Open Access -
Zero-Shot Learning for Sustainable Municipal Waste Classification
Mewada, D., Grua, E. M., Eising, C., Denny, P., Van de Ven, P. & Scanlan, A., Aug 2025, In: Recycling. 10, 4, 144.Research output: Contribution to journal › Article › peer-review
Open Access -
Annotation Quality Versus Quantity for Object Detection and Instance Segmentation
Agnew, C., Scanlan, A., Denny, P., Grua, E. M., Van De Ven, P. & Eising, C., 2024, In: IEEE Access. 12, p. 140958-140977 20 p.Research output: Contribution to journal › Article › peer-review
Open Access -
ARDÁN: Automated Reference-Free Defocus Characterization for Automotive Near-Field Cameras
Jakab, D., Martino Grua, E., Mohandas, R., Michael Deegan, B., Scanlan, A., Molloy, D., Ward, E. & Eising, C., 2024, In: IEEE Access. 12, p. 145637-145670 34 p.Research output: Contribution to journal › Article › peer-review
Open Access