Kevin I-Kai Wang
researcher ORCID ID = 0000-0001-8450-2558
Facts
11 properties- Instance of
- human
- Occupation
- researcher
- Employer
- University of Auckland[2]
- Educated at
- University of Auckland[3]
- Doctoral advisor
- Zoran Salcic, Waleed H. Abdulla[4][5]
- Doctoral student
- Andrew Chen, Udayanto Dwi Atmojo, Mohd Halim Mohd Noor, Ryan Kurte, Ma Katrina Rañeses, Ye Xiaozhou, Fengxuan Liu, Hui Yie Teh[6][7][8][9][10][11][12][13]
- Academic degree
- Doctor of Philosophy[14]
- Academic thesis
- Multi-agent based ambient intelligence platform[17]
- On focus list of Wikimedia project
- NZThesisProject[18]
🏷️ Also known as
en Kevin I-Kai Wang
en KIK Wang
🔖 Identifiers · 6
- ORCID iD
- 0000-0001-8450-2558
- OpenAlex ID
- A5091532881
- ACM Digital Library author ID
- 81460647685
- DBLP author ID
- 01/2667
- Google Scholar author ID
- Sxcg2WsAAAAJ
- Scopus author ID
- 7501398184
🔗 Connections
Author of 47
2D Federated Learning for Personalized Human Activity Recognition in Cyber-Physical-Social Systems,
Adaptive Segmentation Enhanced Asynchronous Federated Learning for Sustainable Intelligent Transportation Systems,
Adaptive sliding window segmentation for physical activity recognition using a single tri-axial accelerometer,
Adaptive Wireless Network Management with Multi-Agent Reinforcement Learning,
A Hybrid Indoor Localization and Navigation System with Map Matching for Pedestrians Using Smartphones,
A Low-Cost INS and UWB Fusion Pedestrian Tracking System,
A Multi-Mode Dead Reckoning System for Pedestrian Tracking Using Smartphones,
An enhanced pedestrian dead reckoning approach for pedestrian tracking using smartphones
+39 more
← Authored by 47
2D Federated Learning for Personalized Human Activity Recognition in Cyber-Physical-Social Systems,
Adaptive Segmentation Enhanced Asynchronous Federated Learning for Sustainable Intelligent Transportation Systems,
Adaptive sliding window segmentation for physical activity recognition using a single tri-axial accelerometer,
Adaptive Wireless Network Management with Multi-Agent Reinforcement Learning,
A Hybrid Indoor Localization and Navigation System with Map Matching for Pedestrians Using Smartphones,
A Low-Cost INS and UWB Fusion Pedestrian Tracking System,
A Multi-Mode Dead Reckoning System for Pedestrian Tracking Using Smartphones,
An enhanced pedestrian dead reckoning approach for pedestrian tracking using smartphones
+39 more
Affiliated with 1
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