Kieran Woodward
Scholar

Kieran Woodward

Google Scholar ID: kRcNj_IAAAAJ
University of Nottingham
Artificial IntelligencetinyMLPervasive computingAffective computingEdge computing
Homepage↗Google Scholar↗
Citations & Impact
All-time
Citations
352
 
H-index
10
 
i10-index
10
 
Publications
20
 
Co-authors
0
 
Publications
1 items
A Hybrid Edge Classifier: Combining TinyML-Optimised CNN with RRAM-CMOS ACAM for Energy-Efficient Inference
2025
Cited
0
Resume
Academic Achievements
  • Published 42 papers with 327 citations; involved in multiple projects such as 'Combining Multiple tinyML Models for Multimodal Context-Aware Stress Recognition' and 'Enviro-IoT: Calibrating Low-Cost Environmental Sensors in Urban Settings'.
Research Experience
  • Currently a Research Fellow at the University of Nottingham in the Computer Science department; was a Senior Research Fellow in tinyML at Nottingham Trent University from April 2021 to March 2025.
Education
  • No detailed educational background provided directly.
Background
  • Research interests include Applied Artificial Intelligence, Machine Learning, Deep Learning, Tangible User Interfaces, and Pervasive Computing.
Miscellany
  • No additional personal interests or hobbies information provided.