Lecturer
- About
-
- Office Address
- School/Department
- School of Natural and Computing Sciences
Biography
I am a Lecturer (Assistant Professor) at the Aberdeen - South China Normal University Joint Institute in the School of Computing and Natural Sciences, University of Aberdeen. I am also a visiting research fellow in the Faculty of Engineering, University of Bristol.
Prior to joining University of Aberdeen, I had been a research fellow in various universities:
- I worked with Prof. Ian Craddock and Dr. Ryan McConville at University of Bristol developing machine learning models to identify potential digital biomarkers on a person living with Parkinson’s disease with IoT and wearable devices.
- I worked with Prof. Sara Bernardini at Royal Holloway University of London to develop a multi-agent planning system for inspection, maintenance, or exploration in an extreme environment using various autonomous robots.
- I worked with Prof. David Howey at University of Oxford to develop probabilistic models for predicting battery health and its remaining useful life on real-world data.
- I received my PhD (2019) from the University of Birmingham, with Prof. Jeremy Wyatt and Prof. Nick Hawes, working on statistical machine learning for robot explorations as part of the STRANDS project.
My expertise is in mobile robotics, multimodal learning, data stream and time series analysis. I have applied my expertise to scientific and engineering problems in various fields ranging from service robotics, energy, healthcare, and robots in extreme environments. I am also interested in how new technologies, with machine learning engine, provide real-time efficient services while having to function in highly dynamic and resource-constrained environments.
Qualifications
- PhD Computer Science2019 - University of Birmingham
- MSc Computational Logic2014 - Technische Universitaet Dresden
- BSc Computer Science2010 - Universitas Indonesia
Internal Memberships
SCNU JI Outreach Officer
- Research
-
Research Areas
Accepting PhDs
I am currently accepting PhDs in Computing Science.
Please get in touch if you would like to discuss your research ideas further.
Computing Science
Accepting PhDs - Publications
-
Page 1 of 1 Results 1 to 13 of 13
A multimodal dataset of real world mobility activities in Parkinson’s disease
Scientific Data, vol. 10, no. 1, 918Contributions to Journals: ArticlesMultimodal Indoor Localisation in Parkinson's Disease for Detecting Medication Use: Observational Pilot Study in a Free-Living Setting
Chapters in Books, Reports and Conference Proceedings: Conference ProceedingsAutomated Real-World Video Analysis of Sit-to-Stand Transitions Predicts Parkinson’s Disease Severity
Digital Biomarkers, vol. 7, no. 1, pp. 92-103Contributions to Journals: ArticlesAdaptive Temporal Planning for Multi-Robot Systems in Operations and Maintenance of Offshore Wind Farms
Proceedings of the AAAI Conference on Artificial Intelligence, vol. 37, no. 13, pp. 15782-15788Contributions to Journals: ArticlesA multirobot system for autonomous deployment and recovery of a blade crawler for operations and maintenance of offshore wind turbine blades
Journal of Field Robotics, vol. 40, no. 1, pp. 73-93Contributions to Journals: ArticlesEfficiently exploring for human robot interaction: partially observable Poisson processes
Autonomous Robots, vol. 47, pp. 121-138Contributions to Journals: ArticlesReal-world sit-to-stand evaluation
2022 International Congress of Parkinson's Disease and Movement Disorders, pp. S195-S196Contributions to Journals: AbstractsMultimodal Indoor Localisation for Measuring Mobility in Parkinson's Disease using Transformers
Working Papers: Preprint Papers- [ONLINE] DOI: https://doi.org/10.48550/arXiv.2205.06142
- [OPEN ACCESS] http://aura.abdn.ac.uk/bitstream/2164/21606/1/2205.06142v1.pdf
A multi-robot platform for the autonomous operation and maintenance of offshore wind farms
AAMAS '20: Proceedings of the 19th International Conference on Autonomous Agents and MultiAgent Systems. International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), pp. 1696-1700, 5 pagesChapters in Books, Reports and Conference Proceedings: ChaptersEfficient Bayesian Methods for Counting Processes in Partially Observable Environments
Chapters in Books, Reports and Conference Proceedings: Conference ProceedingsPSO algorithm for single and multiple odor sources localization problems: progress and challenge
International Journal on Smart Sensing and Intelligent Systems, vol. 9, no. 3, pp. 1431-1478Contributions to Journals: Articles- [ONLINE] DOI: https://doi.org/10.21307/ijssis-2017-925
A Poisson-spectral model for modelling temporal patterns in human data observed by a robot
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE] DOI: https://doi.org/10.1109/IROS.2016.7759591
Unsupervised learning of qualitative motion behaviours by a mobile robotUnsupervised learning of qualitative motion behaviours by a mobile robot
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings