Biography
Jonathan is a PhD qualified data scientist with over 9 years of enterprise experience in technology, data management and digital innovation. With years of industrial engagements, he has built his knowledge of practising AI on various types of data such as time series, mobile sensor data and IoT, spatio-temporal data (GPS), banking and insurance data.
His commercial and enterprise experiences (previously as a full-stack developer) have brought him to specialising in web, applications, securities, cloud computing, mobile technology and developments across multiple platforms.
Current Position: Senior Data Scientist @ AiDA Technologies
Data Science Domains:
- Time series analysis
- Situation inference
- Context recognition and understanding
- Human activity recognition
- Ubiquitous computing and mobile sensing
- Assistive Technologies
- Data visualisation and analytics
- Data summarisation
- Mobile Data collection
Specialisations:
- Clustering and classification
- Multi-label classification
- Temporal segmentation
- Co-training
- Active learning
- Multi-instance learning
Community Roles:
- Publicity Chair for PerCom 2020 (IEEE International Conference on Pervasive Computing and Communications)
- Reviewer Assistant of IJCAI 2019 (28th International Joint Conference on Artificial Intelligence)
- Program Committee of Task Intelligence Workshop at WSDM 2019 (12th ACM International Web Search and Data Mining Conference)
- Reviewer Assistant of IJCAI 2018 (27th International Joint Conference on Artificial Intelligence)
- Publication Co-Chair of MobiCase 2015 (7th EAI International Conference on Mobile Computing, Applications and Services)
LinkedIn profile: https://www.linkedin.com/in/jonathanliono/
Google Scholar: http://bit.ly/gscholar-jonathanliono
dblp: http://bit.ly/dblp-jonathanliono